book-recommender.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/m6/1jjhbxbx2k90rhtgpmcr7yp00000gn/T/ipykernel_26513/3819754567.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,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://images.amazon.com/images/P/0002005018.01.LZZZZZZZ.jpg'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books['Image-URL-L'][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <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,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>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",
       "</table>\n",
       "</div>"
      ],
      "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,
   "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": "code",
   "execution_count": 7,
   "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": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "User-ID          0\n",
       "Location         0\n",
       "Age         110762\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "User-ID        0\n",
       "ISBN           0\n",
       "Book-Rating    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.duplicated().sum()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sistema de Recomendação de Livro: baseado na Popularidade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ratings_with_name = ratings.merge(books,on='ISBN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>Book-Title</th>\n",
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       "      <td>4</td>\n",
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       "    <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",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
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       "      <th>241066</th>\n",
       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>241067</th>\n",
       "      <td>Ã?Â?rger mit Produkt X. Roman.</td>\n",
       "      <td>4</td>\n",
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       "      <td>Ã?Â?sterlich leben.</td>\n",
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       "      <th>241070</th>\n",
       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>2</td>\n",
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       "  </tbody>\n",
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       "<p>241071 rows × 2 columns</p>\n",
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      ],
      "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": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "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": 16,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th>Book-Title</th>\n",
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       "      <td>2.250000</td>\n",
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       "      <th>1</th>\n",
       "      <td>Always Have Popsicles</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>8.000000</td>\n",
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       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
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       "      <td>Ã?Â?lpiraten.</td>\n",
       "      <td>0.000000</td>\n",
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       "    <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",
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       "      <td>Ã?Â?stlich der Berge.</td>\n",
       "      <td>2.666667</td>\n",
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       "      <td>Ã?Â?thique en toc</td>\n",
       "      <td>4.000000</td>\n",
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       "<p>241071 rows × 2 columns</p>\n",
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      ],
      "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": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "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": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>num_ratings</th>\n",
       "      <th>avg_rating</th>\n",
       "    </tr>\n",
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       "      <td>Always Have Popsicles</td>\n",
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       "      <th>2</th>\n",
       "      <td>Apple Magic (The Collector's series)</td>\n",
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       "      <td>0.000000</td>\n",
       "    </tr>\n",
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       "      <th>3</th>\n",
       "      <td>Ask Lily (Young Women of Faith: Lily Series, ...</td>\n",
       "      <td>1</td>\n",
       "      <td>8.000000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <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": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popular_df = num_rating_df.merge(avg_rating_df,on='Book-Title')\n",
    "popular_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "popular_df = popular_df[popular_df['num_ratings']>=250].sort_values('avg_rating',ascending=False).head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "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": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://images.amazon.com/images/P/0439136350.01.MZZZZZZZ.jpg'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popular_df['Image-URL-M'][0]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sistema de Recomendação de Livro: baseado em Filtro Colaborativo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = ratings_with_name.groupby('User-ID').count()['Book-Rating'] > 200\n",
    "group_like_users = x[x].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_rating = ratings_with_name[ratings_with_name['User-ID'].isin(group_like_users)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = filtered_rating.groupby('Book-Title').count()['Book-Rating']>=50\n",
    "famous_books = y[y].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_ratings = filtered_rating[filtered_rating['Book-Title'].isin(famous_books)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "bkr = final_ratings.pivot_table(index='Book-Title',columns='User-ID',values='Book-Rating')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "bkr.fillna(0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>254</th>\n",
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       "      <th>277639</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1984</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2nd Chance</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>Year of Wonders</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <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",
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       "    <tr>\n",
       "      <th>You Belong To Me</th>\n",
       "      <td>0.0</td>\n",
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       "    </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",
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       "      <td>0.0</td>\n",
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       "      <td>...</td>\n",
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       "      <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": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bkr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "similarity_scores = cosine_similarity(bkr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(706, 706)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarity_scores.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def recommend(book_name):\n",
    "    # index fetch\n",
    "    index = np.where(bkr.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'] == bkr.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": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Bastard Out of Carolina',\n",
       "  'Dorothy Allison',\n",
       "  'http://images.amazon.com/images/P/0452269571.01.MZZZZZZZ.jpg'],\n",
       " ['A Civil Action',\n",
       "  'JONATHAN HARR',\n",
       "  'http://images.amazon.com/images/P/0679772677.01.MZZZZZZZ.jpg'],\n",
       " ['1984',\n",
       "  'George Orwell',\n",
       "  'http://images.amazon.com/images/P/0451524934.01.MZZZZZZZ.jpg'],\n",
       " [\"The Kitchen God's Wife\",\n",
       "  'Amy Tan',\n",
       "  'http://images.amazon.com/images/P/0399135782.01.MZZZZZZZ.jpg']]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommend(\"The Handmaid's Tale\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommend('1984')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "pickle.dump(popular_df,open('popular.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .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>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": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.drop_duplicates('Book-Title')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(bkr,open('bkr.pkl','wb'))\n",
    "pickle.dump(books,open('books.pkl','wb'))\n",
    "pickle.dump(similarity_scores,open('similarity_scores.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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