Week_10/Colab_Filt_LL.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import data into df's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "movies = pd.read_csv('ml-latest-small/movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9742 entries, 0 to 9741\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   movieId  9742 non-null   int64 \n",
      " 1   title    9742 non-null   object\n",
      " 2   genres   9742 non-null   object\n",
      "dtypes: int64(1), object(2)\n",
      "memory usage: 228.5+ KB\n"
     ]
    }
   ],
   "source": [
    "movies.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ratings = pd.read_csv('ml-latest-small/ratings.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100836 entries, 0 to 100835\n",
      "Data columns (total 4 columns):\n",
      " #   Column     Non-Null Count   Dtype  \n",
      "---  ------     --------------   -----  \n",
      " 0   userId     100836 non-null  int64  \n",
      " 1   movieId    100836 non-null  int64  \n",
      " 2   rating     100836 non-null  float64\n",
      " 3   timestamp  100836 non-null  int64  \n",
      "dtypes: float64(1), int64(3)\n",
      "memory usage: 3.1 MB\n"
     ]
    }
   ],
   "source": [
    "ratings.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9742"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['movieId'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9737"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies['title'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9724"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings['movieId'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = ratings.merge(movies, on='movieId')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 100836 entries, 0 to 100835\n",
      "Data columns (total 6 columns):\n",
      " #   Column     Non-Null Count   Dtype  \n",
      "---  ------     --------------   -----  \n",
      " 0   userId     100836 non-null  int64  \n",
      " 1   movieId    100836 non-null  int64  \n",
      " 2   rating     100836 non-null  float64\n",
      " 3   timestamp  100836 non-null  int64  \n",
      " 4   title      100836 non-null  object \n",
      " 5   genres     100836 non-null  object \n",
      "dtypes: float64(1), int64(3), object(2)\n",
      "memory usage: 5.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9724"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['movieId'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9719"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['title'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transform into a matrix... userID x movieID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "mm = df.pivot_table(values='rating', index='userId', columns='movieId')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "mm.fillna(2.5,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>movieId</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
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       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>...</th>\n",
       "      <th>193565</th>\n",
       "      <th>193567</th>\n",
       "      <th>193571</th>\n",
       "      <th>193573</th>\n",
       "      <th>193579</th>\n",
       "      <th>193581</th>\n",
       "      <th>193583</th>\n",
       "      <th>193585</th>\n",
       "      <th>193587</th>\n",
       "      <th>193609</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>userId</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
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       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
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       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 9724 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "movieId  1       2       3       4       5       6       7       8       \\\n",
       "userId                                                                    \n",
       "1           4.0     2.5     4.0     2.5     2.5     4.0     2.5     2.5   \n",
       "2           2.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "3           2.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "4           2.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "5           4.0     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "\n",
       "movieId  9       10      ...  193565  193567  193571  193573  193579  193581  \\\n",
       "userId                   ...                                                   \n",
       "1           2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "2           2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "3           2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "4           2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "5           2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "\n",
       "movieId  193583  193585  193587  193609  \n",
       "userId                                   \n",
       "1           2.5     2.5     2.5     2.5  \n",
       "2           2.5     2.5     2.5     2.5  \n",
       "3           2.5     2.5     2.5     2.5  \n",
       "4           2.5     2.5     2.5     2.5  \n",
       "5           2.5     2.5     2.5     2.5  \n",
       "\n",
       "[5 rows x 9724 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mm.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create cosim matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "cosim = pd.DataFrame(cosine_similarity(mm))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(610, 610)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosim.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff02eb74b90>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cosim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Handle a new user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "[5 rows x 610 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosim.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### pick an active user and find the top 10 most similar users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "u = cosim[4]    #select an user (id=4) from the cosim -- this is the row with correlation to all other users\n",
    "u = pd.DataFrame(u) #transform into a DF -- indexes= userIDs, column= correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "            4\n",
       "4    1.000000\n",
       "144  0.999307\n",
       "53   0.999238\n",
       "564  0.999225\n",
       "25   0.999172\n",
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     "execution_count": 52,
     "metadata": {},
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   ],
   "source": [
    "u = u.sort_values(by=[4], ascending=[False]).head(11)  #order by most similar users\n",
    "u"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "similar_usersid = list(u.index)\n",
    "similar_usersid = similar_usersid[1:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### With these subset of users, calculate the average rating\n",
    "* Optionally: Use the distance to the active user as a weight when calculating the average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
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       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>3.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 9724 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "movieId  1       2       3       4       5       6       7       8       \\\n",
       "userId                                                                    \n",
       "144         3.5     3.0     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "53          2.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "564         2.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "25          2.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "608         2.5     2.0     2.0     2.5     2.5     2.5     2.5     2.5   \n",
       "141         4.0     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "132         2.0     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "506         2.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "213         3.5     2.5     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "\n",
       "movieId  9       10      ...  193565  193567  193571  193573  193579  193581  \\\n",
       "userId                   ...                                                   \n",
       "144         2.5     3.0  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "53          2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "564         2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "25          2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "608         2.5     4.0  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "141         2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "132         2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "506         2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "213         2.5     2.5  ...     2.5     2.5     2.5     2.5     2.5     2.5   \n",
       "\n",
       "movieId  193583  193585  193587  193609  \n",
       "userId                                   \n",
       "144         2.5     2.5     2.5     2.5  \n",
       "53          2.5     2.5     2.5     2.5  \n",
       "564         2.5     2.5     2.5     2.5  \n",
       "25          2.5     2.5     2.5     2.5  \n",
       "608         2.5     2.5     2.5     2.5  \n",
       "141         2.5     2.5     2.5     2.5  \n",
       "132         2.5     2.5     2.5     2.5  \n",
       "506         2.5     2.5     2.5     2.5  \n",
       "213         2.5     2.5     2.5     2.5  \n",
       "\n",
       "[9 rows x 9724 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similar_users = mm.loc[similar_usersid, :]\n",
    "similar_users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movieId</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.833333</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.444444</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.500000</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                0\n",
       "movieId          \n",
       "1        2.833333\n",
       "2        2.500000\n",
       "3        2.444444\n",
       "4        2.500000\n",
       "5        2.500000"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_ratings_avg = similar_users.mean()\n",
    "movie_ratings_avg = pd.DataFrame(movie_ratings_avg)\n",
    "movie_ratings_avg.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Recommend movies that the similar users liked most and that the active user has not seen yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movieId</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4993</th>\n",
       "      <td>3.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7153</th>\n",
       "      <td>3.722222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5952</th>\n",
       "      <td>3.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2571</th>\n",
       "      <td>3.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4306</th>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3578</th>\n",
       "      <td>3.388889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58559</th>\n",
       "      <td>3.388889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2959</th>\n",
       "      <td>3.388889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8360</th>\n",
       "      <td>3.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6539</th>\n",
       "      <td>3.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                0\n",
       "movieId          \n",
       "4993     3.777778\n",
       "7153     3.722222\n",
       "5952     3.555556\n",
       "2571     3.555556\n",
       "4306     3.500000\n",
       "3578     3.388889\n",
       "58559    3.388889\n",
       "2959     3.388889\n",
       "8360     3.333333\n",
       "6539     3.333333"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_ratings_avg.sort_values(by=[0], ascending=[False]).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "recommended_movies = movie_ratings_avg.sort_values(by=[0], ascending=[False]).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "recommended_movies = pd.merge(recommended_movies, movies, left_on = 'movieId', right_on = 'movieId', how = 'left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Lord of the Rings: The Fellowship of the Ring,...\n",
       "1    Lord of the Rings: The Return of the King, The...\n",
       "2        Lord of the Rings: The Two Towers, The (2002)\n",
       "3                                   Matrix, The (1999)\n",
       "4                                         Shrek (2001)\n",
       "5                                     Gladiator (2000)\n",
       "6                              Dark Knight, The (2008)\n",
       "7                                    Fight Club (1999)\n",
       "8                                       Shrek 2 (2004)\n",
       "9    Pirates of the Caribbean: The Curse of the Bla...\n",
       "Name: title, dtype: object"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recommended_movies['title']"
   ]
  }
 ],
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