BooksRecommendationSystem.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "BOOK RECOMMENDATION SYSTEM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "b'Skipping line 3350: expected 12 fields, saw 13\\nSkipping line 4704: expected 12 fields, saw 13\\nSkipping line 5879: expected 12 fields, saw 13\\nSkipping line 8981: expected 12 fields, saw 13\\n'\n"
     ]
    },
    {
     "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>bookID</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>language_code</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "      <th>publication_date</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Harry Potter and the Half-Blood Prince (Harry ...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.57</td>\n",
       "      <td>0439785960</td>\n",
       "      <td>9780439785969</td>\n",
       "      <td>eng</td>\n",
       "      <td>652</td>\n",
       "      <td>2095690</td>\n",
       "      <td>27591</td>\n",
       "      <td>9/16/2006</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Har...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0439358078</td>\n",
       "      <td>9780439358071</td>\n",
       "      <td>eng</td>\n",
       "      <td>870</td>\n",
       "      <td>2153167</td>\n",
       "      <td>29221</td>\n",
       "      <td>9/1/2004</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>Harry Potter and the Chamber of Secrets (Harry...</td>\n",
       "      <td>J.K. Rowling</td>\n",
       "      <td>4.42</td>\n",
       "      <td>0439554896</td>\n",
       "      <td>9780439554893</td>\n",
       "      <td>eng</td>\n",
       "      <td>352</td>\n",
       "      <td>6333</td>\n",
       "      <td>244</td>\n",
       "      <td>11/1/2003</td>\n",
       "      <td>Scholastic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Harr...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.56</td>\n",
       "      <td>043965548X</td>\n",
       "      <td>9780439655484</td>\n",
       "      <td>eng</td>\n",
       "      <td>435</td>\n",
       "      <td>2339585</td>\n",
       "      <td>36325</td>\n",
       "      <td>5/1/2004</td>\n",
       "      <td>Scholastic Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>Harry Potter Boxed Set  Books 1-5 (Harry Potte...</td>\n",
       "      <td>J.K. Rowling/Mary GrandPré</td>\n",
       "      <td>4.78</td>\n",
       "      <td>0439682584</td>\n",
       "      <td>9780439682589</td>\n",
       "      <td>eng</td>\n",
       "      <td>2690</td>\n",
       "      <td>41428</td>\n",
       "      <td>164</td>\n",
       "      <td>9/13/2004</td>\n",
       "      <td>Scholastic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bookID                                              title  \\\n",
       "0       1  Harry Potter and the Half-Blood Prince (Harry ...   \n",
       "1       2  Harry Potter and the Order of the Phoenix (Har...   \n",
       "2       4  Harry Potter and the Chamber of Secrets (Harry...   \n",
       "3       5  Harry Potter and the Prisoner of Azkaban (Harr...   \n",
       "4       8  Harry Potter Boxed Set  Books 1-5 (Harry Potte...   \n",
       "\n",
       "                      authors  average_rating        isbn         isbn13  \\\n",
       "0  J.K. Rowling/Mary GrandPré            4.57  0439785960  9780439785969   \n",
       "1  J.K. Rowling/Mary GrandPré            4.49  0439358078  9780439358071   \n",
       "2                J.K. Rowling            4.42  0439554896  9780439554893   \n",
       "3  J.K. Rowling/Mary GrandPré            4.56  043965548X  9780439655484   \n",
       "4  J.K. Rowling/Mary GrandPré            4.78  0439682584  9780439682589   \n",
       "\n",
       "  language_code    num_pages  ratings_count  text_reviews_count  \\\n",
       "0           eng          652        2095690               27591   \n",
       "1           eng          870        2153167               29221   \n",
       "2           eng          352           6333                 244   \n",
       "3           eng          435        2339585               36325   \n",
       "4           eng         2690          41428                 164   \n",
       "\n",
       "  publication_date        publisher  \n",
       "0        9/16/2006  Scholastic Inc.  \n",
       "1         9/1/2004  Scholastic Inc.  \n",
       "2        11/1/2003       Scholastic  \n",
       "3         5/1/2004  Scholastic Inc.  \n",
       "4        9/13/2004       Scholastic  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn import neighbors\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "df = pd.read_csv(r\"C:/Users/simmu/Dropbox/PC/Downloads/archive/books.csv\",error_bad_lines = False)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bookID                0\n",
       "title                 0\n",
       "authors               0\n",
       "average_rating        0\n",
       "isbn                  0\n",
       "isbn13                0\n",
       "language_code         0\n",
       "  num_pages           0\n",
       "ratings_count         0\n",
       "text_reviews_count    0\n",
       "publication_date      0\n",
       "publisher             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>bookID</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>num_pages</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>text_reviews_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11123.000000</td>\n",
       "      <td>11123.000000</td>\n",
       "      <td>1.112300e+04</td>\n",
       "      <td>11123.000000</td>\n",
       "      <td>1.112300e+04</td>\n",
       "      <td>11123.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>21310.856963</td>\n",
       "      <td>3.934075</td>\n",
       "      <td>9.759880e+12</td>\n",
       "      <td>336.405556</td>\n",
       "      <td>1.794285e+04</td>\n",
       "      <td>542.048099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>13094.727252</td>\n",
       "      <td>0.350485</td>\n",
       "      <td>4.429758e+11</td>\n",
       "      <td>241.152626</td>\n",
       "      <td>1.124992e+05</td>\n",
       "      <td>2576.619589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.987060e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10277.500000</td>\n",
       "      <td>3.770000</td>\n",
       "      <td>9.780345e+12</td>\n",
       "      <td>192.000000</td>\n",
       "      <td>1.040000e+02</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>20287.000000</td>\n",
       "      <td>3.960000</td>\n",
       "      <td>9.780582e+12</td>\n",
       "      <td>299.000000</td>\n",
       "      <td>7.450000e+02</td>\n",
       "      <td>47.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>32104.500000</td>\n",
       "      <td>4.140000</td>\n",
       "      <td>9.780872e+12</td>\n",
       "      <td>416.000000</td>\n",
       "      <td>5.000500e+03</td>\n",
       "      <td>238.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>45641.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>9.790008e+12</td>\n",
       "      <td>6576.000000</td>\n",
       "      <td>4.597666e+06</td>\n",
       "      <td>94265.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             bookID  average_rating        isbn13     num_pages  \\\n",
       "count  11123.000000    11123.000000  1.112300e+04  11123.000000   \n",
       "mean   21310.856963        3.934075  9.759880e+12    336.405556   \n",
       "std    13094.727252        0.350485  4.429758e+11    241.152626   \n",
       "min        1.000000        0.000000  8.987060e+09      0.000000   \n",
       "25%    10277.500000        3.770000  9.780345e+12    192.000000   \n",
       "50%    20287.000000        3.960000  9.780582e+12    299.000000   \n",
       "75%    32104.500000        4.140000  9.780872e+12    416.000000   \n",
       "max    45641.000000        5.000000  9.790008e+12   6576.000000   \n",
       "\n",
       "       ratings_count  text_reviews_count  \n",
       "count   1.112300e+04        11123.000000  \n",
       "mean    1.794285e+04          542.048099  \n",
       "std     1.124992e+05         2576.619589  \n",
       "min     0.000000e+00            0.000000  \n",
       "25%     1.040000e+02            9.000000  \n",
       "50%     7.450000e+02           47.000000  \n",
       "75%     5.000500e+03          238.000000  \n",
       "max     4.597666e+06        94265.000000  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e51f8d88e0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_ten = df[df['ratings_count'] > 1000000]\n",
    "top_ten.sort_values(by='average_rating', ascending=False)\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "plt.figure(figsize=(10, 10))\n",
    "data = top_ten.sort_values(by='average_rating', ascending=False).head(10)\n",
    "sns.barplot(x=\"average_rating\", y=\"title\", data=data, palette='inferno')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "most_books = df.groupby('authors')['title'].count().reset_index().sort_values('title', ascending=False).head(10).set_index('authors')\n",
    "plt.figure(figsize=(15,10))\n",
    "ax = sns.barplot(most_books['title'], most_books.index, palette='inferno')\n",
    "ax.set_title(\"Top 10 authors with most books\")\n",
    "ax.set_xlabel(\"Total number of books\")\n",
    "totals = []\n",
    "for i in ax.patches:\n",
    "    totals.append(i.get_width())\n",
    "total = sum(totals)\n",
    "for i in ax.patches:\n",
    "    ax.text(i.get_width()+.2, i.get_y()+.2,str(round(i.get_width())), fontsize=15,color='black')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "most_rated = df.sort_values('ratings_count', ascending = False).head(10).set_index('title')\n",
    "plt.figure(figsize=(15,10))\n",
    "ax = sns.barplot(most_rated['ratings_count'], most_rated.index, palette = 'inferno')\n",
    "totals = []\n",
    "for i in ax.patches:\n",
    "    totals.append(i.get_width())\n",
    "total = sum(totals)\n",
    "for i in ax.patches:\n",
    "    ax.text(i.get_width()+.2, i.get_y()+.2,str(round(i.get_width())), fontsize=15,color='black')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Average rating')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.average_rating = df.average_rating.astype(float)\n",
    "fig, ax = plt.subplots(figsize=[15,10])\n",
    "sns.distplot(df['average_rating'],ax=ax)\n",
    "ax.set_title('Average rating distribution for all books',fontsize=20)\n",
    "ax.set_xlabel('Average rating',fontsize=13)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e5209dbaf0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.relplot(data=df, x=\"average_rating\", y=\"ratings_count\", color = 'red', sizes=(100, 200), height=7, marker='o')\n",
    "plt.title(\"Relation between Rating counts and Average Ratings\",fontsize = 15)\n",
    "ax.set_axis_labels(\"Average Rating\", \"Ratings Count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e5209a8910>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))\n",
    "ax = sns.relplot(x=\"average_rating\", y=\"  num_pages\", data = df, color = 'red',sizes=(100, 200), height=7, marker='o')\n",
    "ax.set_axis_labels(\"Average Rating\", \"Number of Pages\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.loc[ (df2['average_rating'] >= 0) & (df2['average_rating'] <= 1), 'rating_between'] = \"between 0 and 1\"\n",
    "df2.loc[ (df2['average_rating'] > 1) & (df2['average_rating'] <= 2), 'rating_between'] = \"between 1 and 2\"\n",
    "df2.loc[ (df2['average_rating'] > 2) & (df2['average_rating'] <= 3), 'rating_between'] = \"between 2 and 3\"\n",
    "df2.loc[ (df2['average_rating'] > 3) & (df2['average_rating'] <= 4), 'rating_between'] = \"between 3 and 4\"\n",
    "df2.loc[ (df2['average_rating'] > 4) & (df2['average_rating'] <= 5), 'rating_between'] = \"between 4 and 5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "rating_df = pd.get_dummies(df2['rating_between'])\n",
    "language_df = pd.get_dummies(df2['language_code'])\n",
    "features = pd.concat([rating_df, \n",
    "                      language_df, \n",
    "                      df2['average_rating'], \n",
    "                      df2['ratings_count']], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Harry Potter and the Half-Blood Prince (Harry Potter  #6)',\n",
       " 'Harry Potter and the Order of the Phoenix (Harry Potter  #5)',\n",
       " 'The Fellowship of the Ring (The Lord of the Rings  #1)',\n",
       " 'Harry Potter and the Chamber of Secrets (Harry Potter  #2)',\n",
       " 'Harry Potter and the Prisoner of Azkaban (Harry Potter  #3)',\n",
       " 'The Lightning Thief (Percy Jackson and the Olympians  #1)']"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "min_max_scaler = MinMaxScaler()\n",
    "features = min_max_scaler.fit_transform(features)\n",
    "model = neighbors.NearestNeighbors(n_neighbors=6, algorithm='ball_tree')\n",
    "model.fit(features)\n",
    "dist, idlist = model.kneighbors(features)\n",
    "def BookRecommender(book_name):\n",
    "    book_list_name = []\n",
    "    book_id = df2[df2['title'] == book_name].index\n",
    "    book_id = book_id[0]\n",
    "    for newid in idlist[book_id]:\n",
    "        book_list_name.append(df2.loc[newid].title)\n",
    "    return book_list_name\n",
    "    \n",
    "BookNames = BookRecommender('Harry Potter and the Half-Blood Prince (Harry Potter  #6)')\n",
    "BookNames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "name": "Untitled0.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}