Book Recommendation System.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4414f6bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "94923046",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HP\\AppData\\Local\\Temp\\ipykernel_17840\\3819754567.py:1: DtypeWarning: Columns (3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  books = pd.read_csv('books.csv')\n"
     ]
    }
   ],
   "source": [
    "books = pd.read_csv('books.csv')\n",
    "users = pd.read_csv('users.csv')\n",
    "ratings = pd.read_csv('ratings.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2baa424f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Image-URL-S</th>\n",
       "      <th>Image-URL-M</th>\n",
       "      <th>Image-URL-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         ISBN                                         Book-Title  \\\n",
       "0  0195153448                                Classical Mythology   \n",
       "1  0002005018                                       Clara Callan   \n",
       "2  0060973129                               Decision in Normandy   \n",
       "3  0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
       "4  0393045218                             The Mummies of Urumchi   \n",
       "\n",
       "            Book-Author Year-Of-Publication                   Publisher  \\\n",
       "0    Mark P. O. Morford                2002     Oxford University Press   \n",
       "1  Richard Bruce Wright                2001       HarperFlamingo Canada   \n",
       "2          Carlo D'Este                1991             HarperPerennial   \n",
       "3      Gina Bari Kolata                1999        Farrar Straus Giroux   \n",
       "4       E. J. W. Barber                1999  W. W. Norton &amp; Company   \n",
       "\n",
       "                                         Image-URL-S  \\\n",
       "0  http://images.amazon.com/images/P/0195153448.0...   \n",
       "1  http://images.amazon.com/images/P/0002005018.0...   \n",
       "2  http://images.amazon.com/images/P/0060973129.0...   \n",
       "3  http://images.amazon.com/images/P/0374157065.0...   \n",
       "4  http://images.amazon.com/images/P/0393045218.0...   \n",
       "\n",
       "                                         Image-URL-M  \\\n",
       "0  http://images.amazon.com/images/P/0195153448.0...   \n",
       "1  http://images.amazon.com/images/P/0002005018.0...   \n",
       "2  http://images.amazon.com/images/P/0060973129.0...   \n",
       "3  http://images.amazon.com/images/P/0374157065.0...   \n",
       "4  http://images.amazon.com/images/P/0393045218.0...   \n",
       "\n",
       "                                         Image-URL-L  \n",
       "0  http://images.amazon.com/images/P/0195153448.0...  \n",
       "1  http://images.amazon.com/images/P/0002005018.0...  \n",
       "2  http://images.amazon.com/images/P/0060973129.0...  \n",
       "3  http://images.amazon.com/images/P/0374157065.0...  \n",
       "4  http://images.amazon.com/images/P/0393045218.0...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5fd4dc69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>User-ID</th>\n",
       "      <th>Location</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>nyc, new york, usa</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>stockton, california, usa</td>\n",
       "      <td>18.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>moscow, yukon territory, russia</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>porto, v.n.gaia, portugal</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>farnborough, hants, united kingdom</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   User-ID                            Location   Age\n",
       "0        1                  nyc, new york, usa   NaN\n",
       "1        2           stockton, california, usa  18.0\n",
       "2        3     moscow, yukon territory, russia   NaN\n",
       "3        4           porto, v.n.gaia, portugal  17.0\n",
       "4        5  farnborough, hants, united kingdom   NaN"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "690238f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>User-ID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>Book-Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>276725</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>276726</td>\n",
       "      <td>0155061224</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>276727</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>276729</td>\n",
       "      <td>052165615X</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>276729</td>\n",
       "      <td>0521795028</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   User-ID        ISBN  Book-Rating\n",
       "0   276725  034545104X            0\n",
       "1   276726  0155061224            5\n",
       "2   276727  0446520802            0\n",
       "3   276729  052165615X            3\n",
       "4   276729  0521795028            6"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "276d0dab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(271360, 8)\n",
      "(1149780, 3)\n",
      "(278858, 3)\n"
     ]
    }
   ],
   "source": [
    "print(books.shape)\n",
    "print(ratings.shape)\n",
    "print(users.shape)"
   ]
  },
  {
   "cell_type": "raw",
   "id": "8f9aa2f5",
   "metadata": {},
   "source": [
    "To check null values in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "269b86e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ISBN                   0\n",
       "Book-Title             0\n",
       "Book-Author            1\n",
       "Year-Of-Publication    0\n",
       "Publisher              2\n",
       "Image-URL-S            0\n",
       "Image-URL-M            0\n",
       "Image-URL-L            3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ffc8e557",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "User-ID          0\n",
       "Location         0\n",
       "Age         110762\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b89899aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "User-ID        0\n",
       "ISBN           0\n",
       "Book-Rating    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.isnull().sum()"
   ]
  },
  {
   "cell_type": "raw",
   "id": "e53792b6",
   "metadata": {},
   "source": [
    "To check no of duplicates in each dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "16410edc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "66adac61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3f1b11a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46d4719f",
   "metadata": {},
   "source": [
    "## Popularity Based Recommender System"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b56a7c87",
   "metadata": {},
   "source": [
    "#### We will list all the 50 books with highest average rating but we will select only those books whose no of ratings is more than 250"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cce41232",
   "metadata": {},
   "outputs": [],
   "source": [
    "# merging books and ratings dataset on ISBN no attribute\n",
    "\n",
    "ratings_with_name = ratings.merge(books,on='ISBN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "af8925a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>num_ratings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241066</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241067</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241068</th>\n",
       "      <td>Ã?Â?sterlich leben.</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241069</th>\n",
       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241070</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>241071 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  num_ratings\n",
       "0        A Light in the Storm: The Civil War Diary of ...            4\n",
       "1                                   Always Have Popsicles            1\n",
       "2                    Apple Magic (The Collector's series)            1\n",
       "3        Ask Lily (Young Women of Faith: Lily Series, ...            1\n",
       "4        Beyond IBM: Leadership Marketing and Finance ...            1\n",
       "...                                                   ...          ...\n",
       "241066                                      Ã?Â?lpiraten.            2\n",
       "241067                     Ã?Â?rger mit Produkt X. Roman.            4\n",
       "241068                                Ã?Â?sterlich leben.            1\n",
       "241069                              Ã?Â?stlich der Berge.            3\n",
       "241070                                  Ã?Â?thique en toc            2\n",
       "\n",
       "[241071 rows x 2 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating a dataframe with book title and number of ratings on the book(num_ratings)\n",
    "# we will use reset_index() to form a dataframe otherwise it will be a list\n",
    "\n",
    "num_rating_df = ratings_with_name.groupby('Book-Title').count()['Book-Rating'].reset_index()\n",
    "num_rating_df.rename(columns={'Book-Rating':'num_ratings'},inplace=True)\n",
    "num_rating_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "db1b0fd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>avg_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
       "      <td>2.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241066</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241067</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>5.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241068</th>\n",
       "      <td>Ã?Â?sterlich leben.</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241069</th>\n",
       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241070</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>241071 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  avg_rating\n",
       "0        A Light in the Storm: The Civil War Diary of ...    2.250000\n",
       "1                                   Always Have Popsicles    0.000000\n",
       "2                    Apple Magic (The Collector's series)    0.000000\n",
       "3        Ask Lily (Young Women of Faith: Lily Series, ...    8.000000\n",
       "4        Beyond IBM: Leadership Marketing and Finance ...    0.000000\n",
       "...                                                   ...         ...\n",
       "241066                                      Ã?Â?lpiraten.    0.000000\n",
       "241067                     Ã?Â?rger mit Produkt X. Roman.    5.250000\n",
       "241068                                Ã?Â?sterlich leben.    7.000000\n",
       "241069                              Ã?Â?stlich der Berge.    2.666667\n",
       "241070                                  Ã?Â?thique en toc    4.000000\n",
       "\n",
       "[241071 rows x 2 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we will calculate the average rating using mean function\n",
    "\n",
    "avg_rating_df = ratings_with_name.groupby('Book-Title').mean()['Book-Rating'].reset_index()\n",
    "avg_rating_df.rename(columns={'Book-Rating':'avg_rating'},inplace=True)\n",
    "avg_rating_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2524096d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>num_ratings</th>\n",
       "      <th>avg_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
       "      <td>4</td>\n",
       "      <td>2.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>1</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241066</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241067</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>4</td>\n",
       "      <td>5.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241068</th>\n",
       "      <td>Ã?Â?sterlich leben.</td>\n",
       "      <td>1</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241069</th>\n",
       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>3</td>\n",
       "      <td>2.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241070</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>2</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>241071 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Book-Title  num_ratings  \\\n",
       "0        A Light in the Storm: The Civil War Diary of ...            4   \n",
       "1                                   Always Have Popsicles            1   \n",
       "2                    Apple Magic (The Collector's series)            1   \n",
       "3        Ask Lily (Young Women of Faith: Lily Series, ...            1   \n",
       "4        Beyond IBM: Leadership Marketing and Finance ...            1   \n",
       "...                                                   ...          ...   \n",
       "241066                                      Ã?Â?lpiraten.            2   \n",
       "241067                     Ã?Â?rger mit Produkt X. Roman.            4   \n",
       "241068                                Ã?Â?sterlich leben.            1   \n",
       "241069                              Ã?Â?stlich der Berge.            3   \n",
       "241070                                  Ã?Â?thique en toc            2   \n",
       "\n",
       "        avg_rating  \n",
       "0         2.250000  \n",
       "1         0.000000  \n",
       "2         0.000000  \n",
       "3         8.000000  \n",
       "4         0.000000  \n",
       "...            ...  \n",
       "241066    0.000000  \n",
       "241067    5.250000  \n",
       "241068    7.000000  \n",
       "241069    2.666667  \n",
       "241070    4.000000  \n",
       "\n",
       "[241071 rows x 3 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now the final dataframe will be popular_df after merging above two dataframes on Book Title attribute\n",
    "\n",
    "popular_df = num_rating_df.merge(avg_rating_df,on='Book-Title')\n",
    "popular_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "96aeff99",
   "metadata": {},
   "outputs": [],
   "source": [
    "#filtering books with num_rating>250 and then sorting the books and displaying top 50 books\n",
    "\n",
    "popular_df = popular_df[popular_df['num_ratings']>=250].sort_values('avg_rating',ascending=False).head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2aeb6c74",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some books have duplicate titles , so droping duplicates and the displaying title, Author,Image,num_rating,avg_rating\n",
    "\n",
    "popular_df = popular_df.merge(books,on='Book-Title').drop_duplicates('Book-Title')[['Book-Title','Book-Author','Image-URL-M','num_ratings','avg_rating']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b94cc12d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Image-URL-M</th>\n",
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       "      <th>avg_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Book 3)</td>\n",
       "      <td>J. K. Rowling</td>\n",
       "      <td>http://images.amazon.com/images/P/0439136350.0...</td>\n",
       "      <td>428</td>\n",
       "      <td>5.852804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Harry Potter and the Goblet of Fire (Book 4)</td>\n",
       "      <td>J. K. Rowling</td>\n",
       "      <td>http://images.amazon.com/images/P/0439139597.0...</td>\n",
       "      <td>387</td>\n",
       "      <td>5.824289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Harry Potter and the Sorcerer's Stone (Book 1)</td>\n",
       "      <td>J. K. Rowling</td>\n",
       "      <td>http://images.amazon.com/images/P/0590353403.0...</td>\n",
       "      <td>278</td>\n",
       "      <td>5.737410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Boo...</td>\n",
       "      <td>J. K. Rowling</td>\n",
       "      <td>http://images.amazon.com/images/P/043935806X.0...</td>\n",
       "      <td>347</td>\n",
       "      <td>5.501441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Harry Potter and the Chamber of Secrets (Book 2)</td>\n",
       "      <td>J. K. Rowling</td>\n",
       "      <td>http://images.amazon.com/images/P/0439064872.0...</td>\n",
       "      <td>556</td>\n",
       "      <td>5.183453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Hobbit : The Enchanting Prelude to The Lor...</td>\n",
       "      <td>J.R.R. TOLKIEN</td>\n",
       "      <td>http://images.amazon.com/images/P/0345339681.0...</td>\n",
       "      <td>281</td>\n",
       "      <td>5.007117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>The Fellowship of the Ring (The Lord of the Ri...</td>\n",
       "      <td>J.R.R. TOLKIEN</td>\n",
       "      <td>http://images.amazon.com/images/P/0345339703.0...</td>\n",
       "      <td>368</td>\n",
       "      <td>4.948370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Harry Potter and the Sorcerer's Stone (Harry P...</td>\n",
       "      <td>J. K. Rowling</td>\n",
       "      <td>http://images.amazon.com/images/P/059035342X.0...</td>\n",
       "      <td>575</td>\n",
       "      <td>4.895652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>The Two Towers (The Lord of the Rings, Part 2)</td>\n",
       "      <td>J.R.R. TOLKIEN</td>\n",
       "      <td>http://images.amazon.com/images/P/0345339711.0...</td>\n",
       "      <td>260</td>\n",
       "      <td>4.880769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>To Kill a Mockingbird</td>\n",
       "      <td>Harper Lee</td>\n",
       "      <td>http://images.amazon.com/images/P/0446310786.0...</td>\n",
       "      <td>510</td>\n",
       "      <td>4.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>The Da Vinci Code</td>\n",
       "      <td>Dan Brown</td>\n",
       "      <td>http://images.amazon.com/images/P/0385504209.0...</td>\n",
       "      <td>898</td>\n",
       "      <td>4.642539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>The Five People You Meet in Heaven</td>\n",
       "      <td>Mitch Albom</td>\n",
       "      <td>http://images.amazon.com/images/P/0786868716.0...</td>\n",
       "      <td>430</td>\n",
       "      <td>4.551163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>The Catcher in the Rye</td>\n",
       "      <td>J.D. Salinger</td>\n",
       "      <td>http://images.amazon.com/images/P/0316769487.0...</td>\n",
       "      <td>449</td>\n",
       "      <td>4.545657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>The Lovely Bones: A Novel</td>\n",
       "      <td>Alice Sebold</td>\n",
       "      <td>http://images.amazon.com/images/P/0316666343.0...</td>\n",
       "      <td>1295</td>\n",
       "      <td>4.468726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>1984</td>\n",
       "      <td>George Orwell</td>\n",
       "      <td>http://images.amazon.com/images/P/0451524934.0...</td>\n",
       "      <td>284</td>\n",
       "      <td>4.454225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Prodigal Summer: A Novel</td>\n",
       "      <td>Barbara Kingsolver</td>\n",
       "      <td>http://images.amazon.com/images/P/0060959037.0...</td>\n",
       "      <td>253</td>\n",
       "      <td>4.450593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Neverwhere</td>\n",
       "      <td>Neil Gaiman</td>\n",
       "      <td>http://images.amazon.com/images/P/0380789019.0...</td>\n",
       "      <td>265</td>\n",
       "      <td>4.449057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>The Secret Life of Bees</td>\n",
       "      <td>Sue Monk Kidd</td>\n",
       "      <td>http://images.amazon.com/images/P/0142001740.0...</td>\n",
       "      <td>774</td>\n",
       "      <td>4.447028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Stupid White Men ...and Other Sorry Excuses fo...</td>\n",
       "      <td>Michael Moore</td>\n",
       "      <td>http://images.amazon.com/images/P/0060392452.0...</td>\n",
       "      <td>283</td>\n",
       "      <td>4.356890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Tuesdays with Morrie: An Old Man, a Young Man,...</td>\n",
       "      <td>MITCH ALBOM</td>\n",
       "      <td>http://images.amazon.com/images/P/0385484518.0...</td>\n",
       "      <td>493</td>\n",
       "      <td>4.354970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>The Red Tent (Bestselling Backlist)</td>\n",
       "      <td>Anita Diamant</td>\n",
       "      <td>http://images.amazon.com/images/P/0312195516.0...</td>\n",
       "      <td>723</td>\n",
       "      <td>4.334716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>The Hitchhiker's Guide to the Galaxy</td>\n",
       "      <td>Douglas Adams</td>\n",
       "      <td>http://images.amazon.com/images/P/0671461494.0...</td>\n",
       "      <td>268</td>\n",
       "      <td>4.328358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Nickel and Dimed: On (Not) Getting By in America</td>\n",
       "      <td>Barbara Ehrenreich</td>\n",
       "      <td>http://images.amazon.com/images/P/0805063897.0...</td>\n",
       "      <td>335</td>\n",
       "      <td>4.289552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Into the Wild</td>\n",
       "      <td>Jon Krakauer</td>\n",
       "      <td>http://images.amazon.com/images/P/0385486804.0...</td>\n",
       "      <td>252</td>\n",
       "      <td>4.273810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Fahrenheit 451</td>\n",
       "      <td>Ray Bradbury</td>\n",
       "      <td>http://images.amazon.com/images/P/3257208626.0...</td>\n",
       "      <td>409</td>\n",
       "      <td>4.264059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Girl with a Pearl Earring</td>\n",
       "      <td>Tracy Chevalier</td>\n",
       "      <td>http://images.amazon.com/images/P/0452282152.0...</td>\n",
       "      <td>526</td>\n",
       "      <td>4.218631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Outlander</td>\n",
       "      <td>DIANA GABALDON</td>\n",
       "      <td>http://images.amazon.com/images/P/0440222915.0...</td>\n",
       "      <td>283</td>\n",
       "      <td>4.173145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Where the Heart Is (Oprah's Book Club (Paperba...</td>\n",
       "      <td>Billie Letts</td>\n",
       "      <td>http://images.amazon.com/images/P/0446672211.0...</td>\n",
       "      <td>585</td>\n",
       "      <td>4.105983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Seabiscuit: An American Legend</td>\n",
       "      <td>LAURA HILLENBRAND</td>\n",
       "      <td>http://images.amazon.com/images/P/0449005615.0...</td>\n",
       "      <td>275</td>\n",
       "      <td>4.098182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Life of Pi</td>\n",
       "      <td>Yann Martel</td>\n",
       "      <td>http://images.amazon.com/images/P/0151008116.0...</td>\n",
       "      <td>664</td>\n",
       "      <td>4.088855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>The Bean Trees</td>\n",
       "      <td>Barbara Kingsolver</td>\n",
       "      <td>http://images.amazon.com/images/P/0060915544.0...</td>\n",
       "      <td>389</td>\n",
       "      <td>4.087404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>A Child Called \\It\\\": One Child's Courage to S...</td>\n",
       "      <td>Dave Pelzer</td>\n",
       "      <td>http://images.amazon.com/images/P/1558743669.0...</td>\n",
       "      <td>265</td>\n",
       "      <td>4.086792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>ANGELA'S ASHES</td>\n",
       "      <td>Frank McCourt</td>\n",
       "      <td>http://images.amazon.com/images/P/0684874350.0...</td>\n",
       "      <td>279</td>\n",
       "      <td>4.075269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Good in Bed</td>\n",
       "      <td>Jennifer Weiner</td>\n",
       "      <td>http://images.amazon.com/images/P/0743418174.0...</td>\n",
       "      <td>490</td>\n",
       "      <td>4.055102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Fast Food Nation: The Dark Side of the All-Ame...</td>\n",
       "      <td>Eric Schlosser</td>\n",
       "      <td>http://images.amazon.com/images/P/0060938455.0...</td>\n",
       "      <td>321</td>\n",
       "      <td>4.037383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>American Gods</td>\n",
       "      <td>Neil Gaiman</td>\n",
       "      <td>http://images.amazon.com/images/P/0380789035.0...</td>\n",
       "      <td>302</td>\n",
       "      <td>4.006623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Skipping Christmas</td>\n",
       "      <td>JOHN GRISHAM</td>\n",
       "      <td>http://images.amazon.com/images/P/0385505833.0...</td>\n",
       "      <td>322</td>\n",
       "      <td>4.006211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>Left Behind: A Novel of the Earth's Last Days ...</td>\n",
       "      <td>Tim Lahaye</td>\n",
       "      <td>http://images.amazon.com/images/P/0842329129.0...</td>\n",
       "      <td>318</td>\n",
       "      <td>4.003145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>The Golden Compass (His Dark Materials, Book 1)</td>\n",
       "      <td>PHILIP PULLMAN</td>\n",
       "      <td>http://images.amazon.com/images/P/037582345X.0...</td>\n",
       "      <td>336</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>The Color Purple</td>\n",
       "      <td>Alice Walker</td>\n",
       "      <td>http://images.amazon.com/images/P/0671617028.0...</td>\n",
       "      <td>314</td>\n",
       "      <td>3.964968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Silence of the Lambs</td>\n",
       "      <td>Thomas Harris</td>\n",
       "      <td>http://images.amazon.com/images/P/0312924585.0...</td>\n",
       "      <td>256</td>\n",
       "      <td>3.960938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>About a Boy</td>\n",
       "      <td>Nick Hornby</td>\n",
       "      <td>http://images.amazon.com/images/P/1573227331.0...</td>\n",
       "      <td>262</td>\n",
       "      <td>3.900763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>Seven Up (A Stephanie Plum Novel)</td>\n",
       "      <td>Janet Evanovich</td>\n",
       "      <td>http://images.amazon.com/images/P/0312265840.0...</td>\n",
       "      <td>278</td>\n",
       "      <td>3.888489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>The Alchemist: A Fable About Following Your Dream</td>\n",
       "      <td>Paulo Coelho</td>\n",
       "      <td>http://images.amazon.com/images/P/0062502174.0...</td>\n",
       "      <td>266</td>\n",
       "      <td>3.875940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Hard Eight : A Stephanie Plum Novel (A Stephan...</td>\n",
       "      <td>Janet Evanovich</td>\n",
       "      <td>http://images.amazon.com/images/P/0312983867.0...</td>\n",
       "      <td>269</td>\n",
       "      <td>3.825279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>Suzanne's Diary for Nicholas</td>\n",
       "      <td>James Patterson</td>\n",
       "      <td>http://images.amazon.com/images/P/0316969443.0...</td>\n",
       "      <td>457</td>\n",
       "      <td>3.820569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Lord of the Flies</td>\n",
       "      <td>William Gerald Golding</td>\n",
       "      <td>http://images.amazon.com/images/P/0399501487.0...</td>\n",
       "      <td>259</td>\n",
       "      <td>3.818533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>A Prayer for Owen Meany</td>\n",
       "      <td>John Irving</td>\n",
       "      <td>http://images.amazon.com/images/P/0345361792.0...</td>\n",
       "      <td>413</td>\n",
       "      <td>3.796610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>The Vampire Lestat (Vampire Chronicles, Book II)</td>\n",
       "      <td>ANNE RICE</td>\n",
       "      <td>http://images.amazon.com/images/P/0345313860.0...</td>\n",
       "      <td>301</td>\n",
       "      <td>3.777409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>White Oleander : A Novel (Oprah's Book Club)</td>\n",
       "      <td>Janet Fitch</td>\n",
       "      <td>http://images.amazon.com/images/P/0316284955.0...</td>\n",
       "      <td>356</td>\n",
       "      <td>3.772472</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Book-Title  \\\n",
       "0    Harry Potter and the Prisoner of Azkaban (Book 3)   \n",
       "3         Harry Potter and the Goblet of Fire (Book 4)   \n",
       "5       Harry Potter and the Sorcerer's Stone (Book 1)   \n",
       "9    Harry Potter and the Order of the Phoenix (Boo...   \n",
       "13    Harry Potter and the Chamber of Secrets (Book 2)   \n",
       "16   The Hobbit : The Enchanting Prelude to The Lor...   \n",
       "17   The Fellowship of the Ring (The Lord of the Ri...   \n",
       "26   Harry Potter and the Sorcerer's Stone (Harry P...   \n",
       "28      The Two Towers (The Lord of the Rings, Part 2)   \n",
       "39                               To Kill a Mockingbird   \n",
       "47                                   The Da Vinci Code   \n",
       "53                  The Five People You Meet in Heaven   \n",
       "55                              The Catcher in the Rye   \n",
       "62                           The Lovely Bones: A Novel   \n",
       "63                                                1984   \n",
       "72                            Prodigal Summer: A Novel   \n",
       "73                                          Neverwhere   \n",
       "78                             The Secret Life of Bees   \n",
       "84   Stupid White Men ...and Other Sorry Excuses fo...   \n",
       "85   Tuesdays with Morrie: An Old Man, a Young Man,...   \n",
       "88                 The Red Tent (Bestselling Backlist)   \n",
       "89                The Hitchhiker's Guide to the Galaxy   \n",
       "98    Nickel and Dimed: On (Not) Getting By in America   \n",
       "100                                      Into the Wild   \n",
       "103                                     Fahrenheit 451   \n",
       "116                          Girl with a Pearl Earring   \n",
       "117                                          Outlander   \n",
       "123  Where the Heart Is (Oprah's Book Club (Paperba...   \n",
       "124                     Seabiscuit: An American Legend   \n",
       "126                                         Life of Pi   \n",
       "130                                     The Bean Trees   \n",
       "133  A Child Called \\It\\\": One Child's Courage to S...   \n",
       "135                                     ANGELA'S ASHES   \n",
       "137                                        Good in Bed   \n",
       "139  Fast Food Nation: The Dark Side of the All-Ame...   \n",
       "140                                      American Gods   \n",
       "141                                 Skipping Christmas   \n",
       "147  Left Behind: A Novel of the Earth's Last Days ...   \n",
       "149    The Golden Compass (His Dark Materials, Book 1)   \n",
       "157                                   The Color Purple   \n",
       "163                               Silence of the Lambs   \n",
       "166                                        About a Boy   \n",
       "173                  Seven Up (A Stephanie Plum Novel)   \n",
       "175  The Alchemist: A Fable About Following Your Dream   \n",
       "177  Hard Eight : A Stephanie Plum Novel (A Stephan...   \n",
       "182                       Suzanne's Diary for Nicholas   \n",
       "186                                  Lord of the Flies   \n",
       "192                            A Prayer for Owen Meany   \n",
       "194   The Vampire Lestat (Vampire Chronicles, Book II)   \n",
       "195       White Oleander : A Novel (Oprah's Book Club)   \n",
       "\n",
       "                Book-Author  \\\n",
       "0             J. K. Rowling   \n",
       "3             J. K. Rowling   \n",
       "5             J. K. Rowling   \n",
       "9             J. K. Rowling   \n",
       "13            J. K. Rowling   \n",
       "16           J.R.R. TOLKIEN   \n",
       "17           J.R.R. TOLKIEN   \n",
       "26            J. K. Rowling   \n",
       "28           J.R.R. TOLKIEN   \n",
       "39               Harper Lee   \n",
       "47                Dan Brown   \n",
       "53              Mitch Albom   \n",
       "55            J.D. Salinger   \n",
       "62             Alice Sebold   \n",
       "63            George Orwell   \n",
       "72       Barbara Kingsolver   \n",
       "73              Neil Gaiman   \n",
       "78            Sue Monk Kidd   \n",
       "84            Michael Moore   \n",
       "85              MITCH ALBOM   \n",
       "88            Anita Diamant   \n",
       "89            Douglas Adams   \n",
       "98       Barbara Ehrenreich   \n",
       "100            Jon Krakauer   \n",
       "103            Ray Bradbury   \n",
       "116         Tracy Chevalier   \n",
       "117          DIANA GABALDON   \n",
       "123            Billie Letts   \n",
       "124       LAURA HILLENBRAND   \n",
       "126             Yann Martel   \n",
       "130      Barbara Kingsolver   \n",
       "133             Dave Pelzer   \n",
       "135           Frank McCourt   \n",
       "137         Jennifer Weiner   \n",
       "139          Eric Schlosser   \n",
       "140             Neil Gaiman   \n",
       "141            JOHN GRISHAM   \n",
       "147              Tim Lahaye   \n",
       "149          PHILIP PULLMAN   \n",
       "157            Alice Walker   \n",
       "163           Thomas Harris   \n",
       "166             Nick Hornby   \n",
       "173         Janet Evanovich   \n",
       "175            Paulo Coelho   \n",
       "177         Janet Evanovich   \n",
       "182         James Patterson   \n",
       "186  William Gerald Golding   \n",
       "192             John Irving   \n",
       "194               ANNE RICE   \n",
       "195             Janet Fitch   \n",
       "\n",
       "                                           Image-URL-M  num_ratings  \\\n",
       "0    http://images.amazon.com/images/P/0439136350.0...          428   \n",
       "3    http://images.amazon.com/images/P/0439139597.0...          387   \n",
       "5    http://images.amazon.com/images/P/0590353403.0...          278   \n",
       "9    http://images.amazon.com/images/P/043935806X.0...          347   \n",
       "13   http://images.amazon.com/images/P/0439064872.0...          556   \n",
       "16   http://images.amazon.com/images/P/0345339681.0...          281   \n",
       "17   http://images.amazon.com/images/P/0345339703.0...          368   \n",
       "26   http://images.amazon.com/images/P/059035342X.0...          575   \n",
       "28   http://images.amazon.com/images/P/0345339711.0...          260   \n",
       "39   http://images.amazon.com/images/P/0446310786.0...          510   \n",
       "47   http://images.amazon.com/images/P/0385504209.0...          898   \n",
       "53   http://images.amazon.com/images/P/0786868716.0...          430   \n",
       "55   http://images.amazon.com/images/P/0316769487.0...          449   \n",
       "62   http://images.amazon.com/images/P/0316666343.0...         1295   \n",
       "63   http://images.amazon.com/images/P/0451524934.0...          284   \n",
       "72   http://images.amazon.com/images/P/0060959037.0...          253   \n",
       "73   http://images.amazon.com/images/P/0380789019.0...          265   \n",
       "78   http://images.amazon.com/images/P/0142001740.0...          774   \n",
       "84   http://images.amazon.com/images/P/0060392452.0...          283   \n",
       "85   http://images.amazon.com/images/P/0385484518.0...          493   \n",
       "88   http://images.amazon.com/images/P/0312195516.0...          723   \n",
       "89   http://images.amazon.com/images/P/0671461494.0...          268   \n",
       "98   http://images.amazon.com/images/P/0805063897.0...          335   \n",
       "100  http://images.amazon.com/images/P/0385486804.0...          252   \n",
       "103  http://images.amazon.com/images/P/3257208626.0...          409   \n",
       "116  http://images.amazon.com/images/P/0452282152.0...          526   \n",
       "117  http://images.amazon.com/images/P/0440222915.0...          283   \n",
       "123  http://images.amazon.com/images/P/0446672211.0...          585   \n",
       "124  http://images.amazon.com/images/P/0449005615.0...          275   \n",
       "126  http://images.amazon.com/images/P/0151008116.0...          664   \n",
       "130  http://images.amazon.com/images/P/0060915544.0...          389   \n",
       "133  http://images.amazon.com/images/P/1558743669.0...          265   \n",
       "135  http://images.amazon.com/images/P/0684874350.0...          279   \n",
       "137  http://images.amazon.com/images/P/0743418174.0...          490   \n",
       "139  http://images.amazon.com/images/P/0060938455.0...          321   \n",
       "140  http://images.amazon.com/images/P/0380789035.0...          302   \n",
       "141  http://images.amazon.com/images/P/0385505833.0...          322   \n",
       "147  http://images.amazon.com/images/P/0842329129.0...          318   \n",
       "149  http://images.amazon.com/images/P/037582345X.0...          336   \n",
       "157  http://images.amazon.com/images/P/0671617028.0...          314   \n",
       "163  http://images.amazon.com/images/P/0312924585.0...          256   \n",
       "166  http://images.amazon.com/images/P/1573227331.0...          262   \n",
       "173  http://images.amazon.com/images/P/0312265840.0...          278   \n",
       "175  http://images.amazon.com/images/P/0062502174.0...          266   \n",
       "177  http://images.amazon.com/images/P/0312983867.0...          269   \n",
       "182  http://images.amazon.com/images/P/0316969443.0...          457   \n",
       "186  http://images.amazon.com/images/P/0399501487.0...          259   \n",
       "192  http://images.amazon.com/images/P/0345361792.0...          413   \n",
       "194  http://images.amazon.com/images/P/0345313860.0...          301   \n",
       "195  http://images.amazon.com/images/P/0316284955.0...          356   \n",
       "\n",
       "     avg_rating  \n",
       "0      5.852804  \n",
       "3      5.824289  \n",
       "5      5.737410  \n",
       "9      5.501441  \n",
       "13     5.183453  \n",
       "16     5.007117  \n",
       "17     4.948370  \n",
       "26     4.895652  \n",
       "28     4.880769  \n",
       "39     4.700000  \n",
       "47     4.642539  \n",
       "53     4.551163  \n",
       "55     4.545657  \n",
       "62     4.468726  \n",
       "63     4.454225  \n",
       "72     4.450593  \n",
       "73     4.449057  \n",
       "78     4.447028  \n",
       "84     4.356890  \n",
       "85     4.354970  \n",
       "88     4.334716  \n",
       "89     4.328358  \n",
       "98     4.289552  \n",
       "100    4.273810  \n",
       "103    4.264059  \n",
       "116    4.218631  \n",
       "117    4.173145  \n",
       "123    4.105983  \n",
       "124    4.098182  \n",
       "126    4.088855  \n",
       "130    4.087404  \n",
       "133    4.086792  \n",
       "135    4.075269  \n",
       "137    4.055102  \n",
       "139    4.037383  \n",
       "140    4.006623  \n",
       "141    4.006211  \n",
       "147    4.003145  \n",
       "149    4.000000  \n",
       "157    3.964968  \n",
       "163    3.960938  \n",
       "166    3.900763  \n",
       "173    3.888489  \n",
       "175    3.875940  \n",
       "177    3.825279  \n",
       "182    3.820569  \n",
       "186    3.818533  \n",
       "192    3.796610  \n",
       "194    3.777409  \n",
       "195    3.772472  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popular_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd1b1056",
   "metadata": {},
   "source": [
    "## Collaborative Filtering Based Recommender System"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ba96142",
   "metadata": {},
   "source": [
    "#### Our approach here is that we will only select users which has rated more than 200 books and we will only select books which are rated by more than 50 users so as to get more accurate results for the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8cadf2cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will only select users who have given rating to more than 200 books to avoid outliners\n",
    "\n",
    "x = ratings_with_name.groupby('User-ID').count()['Book-Rating'] > 200\n",
    "selected_users = x[x].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5a7bb823",
   "metadata": {},
   "outputs": [],
   "source": [
    "#we will only select those ratings which are given by selected users \n",
    "\n",
    "filtered_rating = ratings_with_name[ratings_with_name['User-ID'].isin(selected_users)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9b748d24",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will only select those books which has more than 50 ratings to avoid outliners and get more accurate results\n",
    "\n",
    "y = filtered_rating.groupby('Book-Title').count()['Book-Rating']>=50\n",
    "famous_books = y[y].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4b4f5f7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_ratings = filtered_rating[filtered_rating['Book-Title'].isin(famous_books)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "af1c6e92",
   "metadata": {},
   "outputs": [],
   "source": [
    "pt = final_ratings.pivot_table(index='Book-Title',columns='User-ID',values='Book-Rating')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d049e58f",
   "metadata": {},
   "outputs": [],
   "source": [
    "pt.fillna(0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8f01aaf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>User-ID</th>\n",
       "      <th>254</th>\n",
       "      <th>2276</th>\n",
       "      <th>2766</th>\n",
       "      <th>2977</th>\n",
       "      <th>3363</th>\n",
       "      <th>4017</th>\n",
       "      <th>4385</th>\n",
       "      <th>6251</th>\n",
       "      <th>6323</th>\n",
       "      <th>6543</th>\n",
       "      <th>...</th>\n",
       "      <th>271705</th>\n",
       "      <th>273979</th>\n",
       "      <th>274004</th>\n",
       "      <th>274061</th>\n",
       "      <th>274301</th>\n",
       "      <th>274308</th>\n",
       "      <th>275970</th>\n",
       "      <th>277427</th>\n",
       "      <th>277639</th>\n",
       "      <th>278418</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Book-Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1984</th>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1st to Die: A Novel</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2nd Chance</th>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4 Blondes</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Bend in the Road</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year of Wonders</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Belong To Me</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zen and the Art of Motorcycle Maintenance: An Inquiry into Values</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zoya</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>\\O\\\" Is for Outlaw\"</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>706 rows × 810 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "User-ID                                             254     2276    2766    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   9.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0    10.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     7.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        0.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             2977    3363    4017    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        7.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             4385    6251    6323    \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        0.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             6543    ...  271705  \\\n",
       "Book-Title                                                  ...           \n",
       "1984                                                   0.0  ...    10.0   \n",
       "1st to Die: A Novel                                    9.0  ...     0.0   \n",
       "2nd Chance                                             0.0  ...     0.0   \n",
       "4 Blondes                                              0.0  ...     0.0   \n",
       "A Bend in the Road                                     0.0  ...     0.0   \n",
       "...                                                    ...  ...     ...   \n",
       "Year of Wonders                                        0.0  ...     0.0   \n",
       "You Belong To Me                                       0.0  ...     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0  ...     0.0   \n",
       "Zoya                                                   0.0  ...     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0  ...     0.0   \n",
       "\n",
       "User-ID                                             273979  274004  274061  \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        9.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             274301  274308  275970  \\\n",
       "Book-Title                                                                   \n",
       "1984                                                   0.0     0.0     0.0   \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
       "2nd Chance                                             0.0     0.0     0.0   \n",
       "4 Blondes                                              0.0     0.0     0.0   \n",
       "A Bend in the Road                                     0.0     0.0     0.0   \n",
       "...                                                    ...     ...     ...   \n",
       "Year of Wonders                                        0.0     0.0     0.0   \n",
       "You Belong To Me                                       0.0     0.0     0.0   \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0   \n",
       "Zoya                                                   0.0     0.0     0.0   \n",
       "\\O\\\" Is for Outlaw\"                                    8.0     0.0     0.0   \n",
       "\n",
       "User-ID                                             277427  277639  278418  \n",
       "Book-Title                                                                  \n",
       "1984                                                   0.0     0.0     0.0  \n",
       "1st to Die: A Novel                                    0.0     0.0     0.0  \n",
       "2nd Chance                                             0.0     0.0     0.0  \n",
       "4 Blondes                                              0.0     0.0     0.0  \n",
       "A Bend in the Road                                     0.0     0.0     0.0  \n",
       "...                                                    ...     ...     ...  \n",
       "Year of Wonders                                        0.0     0.0     0.0  \n",
       "You Belong To Me                                       0.0     0.0     0.0  \n",
       "Zen and the Art of Motorcycle Maintenance: An I...     0.0     0.0     0.0  \n",
       "Zoya                                                   0.0     0.0     0.0  \n",
       "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0  \n",
       "\n",
       "[706 rows x 810 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt"
   ]
  },
  {
   "cell_type": "raw",
   "id": "4ec19f72",
   "metadata": {},
   "source": [
    "Cosine similarity is a metric used to measure the similarity of two vectors. Specifically, it measures the similarity in the direction or orientation of the vectors ignoring differences in their magnitude or scale. Both vectors need to be part of the same inner product space, meaning they must produce a scalar through inner product multiplication. The similarity of two vectors is measured by the cosine of the angle between them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d92c3841",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "141cdf48",
   "metadata": {},
   "outputs": [],
   "source": [
    "similarity_scores = cosine_similarity(pt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4df281a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(706, 706)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity_scores.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "a9814230",
   "metadata": {},
   "outputs": [],
   "source": [
    "def recommend(book_name):\n",
    "    # index fetch\n",
    "    index = np.where(pt.index==book_name)[0][0]\n",
    "    similar_items = sorted(list(enumerate(similarity_scores[index])),key=lambda x:x[1],reverse=True)[1:5]\n",
    "    \n",
    "    data = []\n",
    "    for i in similar_items:\n",
    "        item = []\n",
    "        temp_df = books[books['Book-Title'] == pt.index[i[0]]]\n",
    "        item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Title'].values))\n",
    "        item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Author'].values))\n",
    "        item.extend(list(temp_df.drop_duplicates('Book-Title')['Image-URL-M'].values))\n",
    "        \n",
    "        data.append(item)\n",
    "    \n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a61f6934",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Animal Farm',\n",
       "  'George Orwell',\n",
       "  'http://images.amazon.com/images/P/0451526341.01.MZZZZZZZ.jpg'],\n",
       " [\"The Handmaid's Tale\",\n",
       "  'Margaret Atwood',\n",
       "  'http://images.amazon.com/images/P/0449212602.01.MZZZZZZZ.jpg'],\n",
       " ['Brave New World',\n",
       "  'Aldous Huxley',\n",
       "  'http://images.amazon.com/images/P/0060809833.01.MZZZZZZZ.jpg'],\n",
       " ['The Vampire Lestat (Vampire Chronicles, Book II)',\n",
       "  'ANNE RICE',\n",
       "  'http://images.amazon.com/images/P/0345313860.01.MZZZZZZZ.jpg']]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommend('1984')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e87f6224",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "pickle.dump(popular_df,open('popular.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "91e1cc2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>Book-Title</th>\n",
       "      <th>Book-Author</th>\n",
       "      <th>Year-Of-Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Image-URL-S</th>\n",
       "      <th>Image-URL-M</th>\n",
       "      <th>Image-URL-L</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271354</th>\n",
       "      <td>0449906736</td>\n",
       "      <td>Flashpoints: Promise and Peril in a New World</td>\n",
       "      <td>Robin Wright</td>\n",
       "      <td>1993</td>\n",
       "      <td>Ballantine Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0449906736.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0449906736.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0449906736.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271356</th>\n",
       "      <td>0525447644</td>\n",
       "      <td>From One to One Hundred</td>\n",
       "      <td>Teri Sloat</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dutton Books</td>\n",
       "      <td>http://images.amazon.com/images/P/0525447644.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0525447644.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0525447644.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271357</th>\n",
       "      <td>006008667X</td>\n",
       "      <td>Lily Dale : The True Story of the Town that Ta...</td>\n",
       "      <td>Christine Wicker</td>\n",
       "      <td>2004</td>\n",
       "      <td>HarperSanFrancisco</td>\n",
       "      <td>http://images.amazon.com/images/P/006008667X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/006008667X.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/006008667X.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271358</th>\n",
       "      <td>0192126040</td>\n",
       "      <td>Republic (World's Classics)</td>\n",
       "      <td>Plato</td>\n",
       "      <td>1996</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>http://images.amazon.com/images/P/0192126040.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0192126040.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0192126040.0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271359</th>\n",
       "      <td>0767409752</td>\n",
       "      <td>A Guided Tour of Rene Descartes' Meditations o...</td>\n",
       "      <td>Christopher  Biffle</td>\n",
       "      <td>2000</td>\n",
       "      <td>McGraw-Hill Humanities/Social Sciences/Languages</td>\n",
       "      <td>http://images.amazon.com/images/P/0767409752.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0767409752.0...</td>\n",
       "      <td>http://images.amazon.com/images/P/0767409752.0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>242135 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN                                         Book-Title  \\\n",
       "0       0195153448                                Classical Mythology   \n",
       "1       0002005018                                       Clara Callan   \n",
       "2       0060973129                               Decision in Normandy   \n",
       "3       0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
       "4       0393045218                             The Mummies of Urumchi   \n",
       "...            ...                                                ...   \n",
       "271354  0449906736      Flashpoints: Promise and Peril in a New World   \n",
       "271356  0525447644                            From One to One Hundred   \n",
       "271357  006008667X  Lily Dale : The True Story of the Town that Ta...   \n",
       "271358  0192126040                        Republic (World's Classics)   \n",
       "271359  0767409752  A Guided Tour of Rene Descartes' Meditations o...   \n",
       "\n",
       "                 Book-Author Year-Of-Publication  \\\n",
       "0         Mark P. O. Morford                2002   \n",
       "1       Richard Bruce Wright                2001   \n",
       "2               Carlo D'Este                1991   \n",
       "3           Gina Bari Kolata                1999   \n",
       "4            E. J. W. Barber                1999   \n",
       "...                      ...                 ...   \n",
       "271354          Robin Wright                1993   \n",
       "271356            Teri Sloat                1991   \n",
       "271357      Christine Wicker                2004   \n",
       "271358                 Plato                1996   \n",
       "271359   Christopher  Biffle                2000   \n",
       "\n",
       "                                               Publisher  \\\n",
       "0                                Oxford University Press   \n",
       "1                                  HarperFlamingo Canada   \n",
       "2                                        HarperPerennial   \n",
       "3                                   Farrar Straus Giroux   \n",
       "4                             W. W. Norton &amp; Company   \n",
       "...                                                  ...   \n",
       "271354                                  Ballantine Books   \n",
       "271356                                      Dutton Books   \n",
       "271357                                HarperSanFrancisco   \n",
       "271358                           Oxford University Press   \n",
       "271359  McGraw-Hill Humanities/Social Sciences/Languages   \n",
       "\n",
       "                                              Image-URL-S  \\\n",
       "0       http://images.amazon.com/images/P/0195153448.0...   \n",
       "1       http://images.amazon.com/images/P/0002005018.0...   \n",
       "2       http://images.amazon.com/images/P/0060973129.0...   \n",
       "3       http://images.amazon.com/images/P/0374157065.0...   \n",
       "4       http://images.amazon.com/images/P/0393045218.0...   \n",
       "...                                                   ...   \n",
       "271354  http://images.amazon.com/images/P/0449906736.0...   \n",
       "271356  http://images.amazon.com/images/P/0525447644.0...   \n",
       "271357  http://images.amazon.com/images/P/006008667X.0...   \n",
       "271358  http://images.amazon.com/images/P/0192126040.0...   \n",
       "271359  http://images.amazon.com/images/P/0767409752.0...   \n",
       "\n",
       "                                              Image-URL-M  \\\n",
       "0       http://images.amazon.com/images/P/0195153448.0...   \n",
       "1       http://images.amazon.com/images/P/0002005018.0...   \n",
       "2       http://images.amazon.com/images/P/0060973129.0...   \n",
       "3       http://images.amazon.com/images/P/0374157065.0...   \n",
       "4       http://images.amazon.com/images/P/0393045218.0...   \n",
       "...                                                   ...   \n",
       "271354  http://images.amazon.com/images/P/0449906736.0...   \n",
       "271356  http://images.amazon.com/images/P/0525447644.0...   \n",
       "271357  http://images.amazon.com/images/P/006008667X.0...   \n",
       "271358  http://images.amazon.com/images/P/0192126040.0...   \n",
       "271359  http://images.amazon.com/images/P/0767409752.0...   \n",
       "\n",
       "                                              Image-URL-L  \n",
       "0       http://images.amazon.com/images/P/0195153448.0...  \n",
       "1       http://images.amazon.com/images/P/0002005018.0...  \n",
       "2       http://images.amazon.com/images/P/0060973129.0...  \n",
       "3       http://images.amazon.com/images/P/0374157065.0...  \n",
       "4       http://images.amazon.com/images/P/0393045218.0...  \n",
       "...                                                   ...  \n",
       "271354  http://images.amazon.com/images/P/0449906736.0...  \n",
       "271356  http://images.amazon.com/images/P/0525447644.0...  \n",
       "271357  http://images.amazon.com/images/P/006008667X.0...  \n",
       "271358  http://images.amazon.com/images/P/0192126040.0...  \n",
       "271359  http://images.amazon.com/images/P/0767409752.0...  \n",
       "\n",
       "[242135 rows x 8 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.drop_duplicates('Book-Title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e0b00559",
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(pt,open('pt.pkl','wb'))\n",
    "pickle.dump(books,open('books.pkl','wb'))\n",
    "pickle.dump(similarity_scores,open('similarity_scores.pkl','wb'))"
   ]
  }
 ],
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