Collaborative Filtering.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.autograd.variable as Variable\n",
    "import torch.utils.data as data\n",
    "import torchvision\n",
    "from torchvision import transforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\python\\python37\\lib\\site-packages\\lightfm\\_lightfm_fast.py:9: UserWarning: LightFM was compiled without OpenMP support. Only a single thread will be used.\n",
      "  warnings.warn('LightFM was compiled without OpenMP support. '\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import sparse\n",
    "import lightfm\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>movieId</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jumanji (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Waiting to Exhale (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Father of the Bride Part II (1995)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movieId                               title\n",
       "0        1                    Toy Story (1995)\n",
       "1        2                      Jumanji (1995)\n",
       "2        3             Grumpier Old Men (1995)\n",
       "3        4            Waiting to Exhale (1995)\n",
       "4        5  Father of the Bride Part II (1995)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filepath = 'D:/Data_Science/Recommender systems/the-movies-dataset/'\n",
    "filename = 'movies.csv'\n",
    "data_movie_names = pd.read_csv(filepath + filename)\n",
    "data_movie_names = data_movie_names[['movieId','title']]\n",
    "data_movie_names.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 'Toy Story (1995)',\n",
       " 2: 'Jumanji (1995)',\n",
       " 3: 'Grumpier Old Men (1995)',\n",
       " 4: 'Waiting to Exhale (1995)',\n",
       " 5: 'Father of the Bride Part II (1995)',\n",
       " 6: 'Heat (1995)',\n",
       " 7: 'Sabrina (1995)',\n",
       " 8: 'Tom and Huck (1995)',\n",
       " 9: 'Sudden Death (1995)',\n",
       " 10: 'GoldenEye (1995)',\n",
       " 11: 'American President, The (1995)',\n",
       " 12: 'Dracula: Dead and Loving It (1995)',\n",
       " 13: 'Balto (1995)',\n",
       " 14: 'Nixon (1995)',\n",
       " 15: 'Cutthroat Island (1995)',\n",
       " 16: 'Casino (1995)',\n",
       " 17: 'Sense and Sensibility (1995)',\n",
       " 18: 'Four Rooms (1995)',\n",
       " 19: 'Ace Ventura: When Nature Calls (1995)',\n",
       " 20: 'Money Train (1995)',\n",
       " 21: 'Get Shorty (1995)',\n",
       " 22: 'Copycat (1995)',\n",
       " 23: 'Assassins (1995)',\n",
       " 24: 'Powder (1995)',\n",
       " 25: 'Leaving Las Vegas (1995)',\n",
       " 26: 'Othello (1995)',\n",
       " 27: 'Now and Then (1995)',\n",
       " 28: 'Persuasion (1995)',\n",
       " 29: 'City of Lost Children, The (Cité des enfants perdus, La) (1995)',\n",
       " 30: 'Shanghai Triad (Yao a yao yao dao waipo qiao) (1995)',\n",
       " 31: 'Dangerous Minds (1995)',\n",
       " 32: 'Twelve Monkeys (a.k.a. 12 Monkeys) (1995)',\n",
       " 34: 'Babe (1995)',\n",
       " 36: 'Dead Man Walking (1995)',\n",
       " 38: 'It Takes Two (1995)',\n",
       " 39: 'Clueless (1995)',\n",
       " 40: 'Cry, the Beloved Country (1995)',\n",
       " 41: 'Richard III (1995)',\n",
       " 42: 'Dead Presidents (1995)',\n",
       " 43: 'Restoration (1995)',\n",
       " 44: 'Mortal Kombat (1995)',\n",
       " 45: 'To Die For (1995)',\n",
       " 46: 'How to Make an American Quilt (1995)',\n",
       " 47: 'Seven (a.k.a. Se7en) (1995)',\n",
       " 48: 'Pocahontas (1995)',\n",
       " 49: 'When Night Is Falling (1995)',\n",
       " 50: 'Usual Suspects, The (1995)',\n",
       " 52: 'Mighty Aphrodite (1995)',\n",
       " 53: 'Lamerica (1994)',\n",
       " 54: 'Big Green, The (1995)',\n",
       " 55: 'Georgia (1995)',\n",
       " 57: 'Home for the Holidays (1995)',\n",
       " 58: 'Postman, The (Postino, Il) (1994)',\n",
       " 60: 'Indian in the Cupboard, The (1995)',\n",
       " 61: 'Eye for an Eye (1996)',\n",
       " 62: \"Mr. Holland's Opus (1995)\",\n",
       " 63: \"Don't Be a Menace to South Central While Drinking Your Juice in the Hood (1996)\",\n",
       " 64: 'Two if by Sea (1996)',\n",
       " 65: 'Bio-Dome (1996)',\n",
       " 66: 'Lawnmower Man 2: Beyond Cyberspace (1996)',\n",
       " 68: 'French Twist (Gazon maudit) (1995)',\n",
       " 69: 'Friday (1995)',\n",
       " 70: 'From Dusk Till Dawn (1996)',\n",
       " 71: 'Fair Game (1995)',\n",
       " 72: 'Kicking and Screaming (1995)',\n",
       " 73: 'Misérables, Les (1995)',\n",
       " 74: 'Bed of Roses (1996)',\n",
       " 75: 'Big Bully (1996)',\n",
       " 76: 'Screamers (1995)',\n",
       " 77: 'Nico Icon (1995)',\n",
       " 78: 'Crossing Guard, The (1995)',\n",
       " 79: 'Juror, The (1996)',\n",
       " 80: 'White Balloon, The (Badkonake sefid) (1995)',\n",
       " 81: \"Things to Do in Denver When You're Dead (1995)\",\n",
       " 82: \"Antonia's Line (Antonia) (1995)\",\n",
       " 83: 'Once Upon a Time... When We Were Colored (1995)',\n",
       " 85: 'Angels and Insects (1995)',\n",
       " 86: 'White Squall (1996)',\n",
       " 87: 'Dunston Checks In (1996)',\n",
       " 88: 'Black Sheep (1996)',\n",
       " 89: 'Nick of Time (1995)',\n",
       " 92: 'Mary Reilly (1996)',\n",
       " 93: 'Vampire in Brooklyn (1995)',\n",
       " 94: 'Beautiful Girls (1996)',\n",
       " 95: 'Broken Arrow (1996)',\n",
       " 96: 'In the Bleak Midwinter (1995)',\n",
       " 97: 'Hate (Haine, La) (1995)',\n",
       " 99: 'Heidi Fleiss: Hollywood Madam (1995)',\n",
       " 100: 'City Hall (1996)',\n",
       " 101: 'Bottle Rocket (1996)',\n",
       " 102: 'Mr. Wrong (1996)',\n",
       " 103: 'Unforgettable (1996)',\n",
       " 104: 'Happy Gilmore (1996)',\n",
       " 105: 'Bridges of Madison County, The (1995)',\n",
       " 106: 'Nobody Loves Me (Keiner liebt mich) (1994)',\n",
       " 107: 'Muppet Treasure Island (1996)',\n",
       " 108: 'Catwalk (1996)',\n",
       " 110: 'Braveheart (1995)',\n",
       " 111: 'Taxi Driver (1976)',\n",
       " 112: 'Rumble in the Bronx (Hont faan kui) (1995)',\n",
       " 113: 'Before and After (1996)',\n",
       " 116: 'Anne Frank Remembered (1995)',\n",
       " 117: \"Young Poisoner's Handbook, The (1995)\",\n",
       " 118: 'If Lucy Fell (1996)',\n",
       " 119: 'Steal Big, Steal Little (1995)',\n",
       " 121: 'Boys of St. Vincent, The (1992)',\n",
       " 122: 'Boomerang (1992)',\n",
       " 123: 'Chungking Express (Chung Hing sam lam) (1994)',\n",
       " 125: 'Flirting With Disaster (1996)',\n",
       " 126: 'NeverEnding Story III, The (1994)',\n",
       " 128: \"Jupiter's Wife (1994)\",\n",
       " 129: 'Pie in the Sky (1996)',\n",
       " 132: 'Jade (1995)',\n",
       " 135: 'Down Periscope (1996)',\n",
       " 137: 'Man of the Year (1995)',\n",
       " 140: 'Up Close and Personal (1996)',\n",
       " 141: 'Birdcage, The (1996)',\n",
       " 144: 'Brothers McMullen, The (1995)',\n",
       " 145: 'Bad Boys (1995)',\n",
       " 146: 'Amazing Panda Adventure, The (1995)',\n",
       " 147: 'Basketball Diaries, The (1995)',\n",
       " 148: 'Awfully Big Adventure, An (1995)',\n",
       " 149: 'Amateur (1994)',\n",
       " 150: 'Apollo 13 (1995)',\n",
       " 151: 'Rob Roy (1995)',\n",
       " 152: 'Addiction, The (1995)',\n",
       " 153: 'Batman Forever (1995)',\n",
       " 154: 'Beauty of the Day (Belle de jour) (1967)',\n",
       " 155: 'Beyond Rangoon (1995)',\n",
       " 156: 'Blue in the Face (1995)',\n",
       " 157: 'Canadian Bacon (1995)',\n",
       " 158: 'Casper (1995)',\n",
       " 159: 'Clockers (1995)',\n",
       " 160: 'Congo (1995)',\n",
       " 161: 'Crimson Tide (1995)',\n",
       " 162: 'Crumb (1994)',\n",
       " 163: 'Desperado (1995)',\n",
       " 164: 'Devil in a Blue Dress (1995)',\n",
       " 165: 'Die Hard: With a Vengeance (1995)',\n",
       " 166: 'Doom Generation, The (1995)',\n",
       " 168: 'First Knight (1995)',\n",
       " 169: 'Free Willy 2: The Adventure Home (1995)',\n",
       " 170: 'Hackers (1995)',\n",
       " 171: 'Jeffrey (1995)',\n",
       " 172: 'Johnny Mnemonic (1995)',\n",
       " 173: 'Judge Dredd (1995)',\n",
       " 174: 'Jury Duty (1995)',\n",
       " 175: 'Kids (1995)',\n",
       " 176: 'Living in Oblivion (1995)',\n",
       " 177: 'Lord of Illusions (1995)',\n",
       " 178: 'Love & Human Remains (1993)',\n",
       " 179: 'Mad Love (1995)',\n",
       " 180: 'Mallrats (1995)',\n",
       " 181: 'Mighty Morphin Power Rangers: The Movie (1995)',\n",
       " 183: 'Mute Witness (1994)',\n",
       " 184: 'Nadja (1994)',\n",
       " 185: 'Net, The (1995)',\n",
       " 186: 'Nine Months (1995)',\n",
       " 187: 'Party Girl (1995)',\n",
       " 188: 'Prophecy, The (1995)',\n",
       " 189: 'Reckless (1995)',\n",
       " 190: 'Safe (1995)',\n",
       " 191: 'Scarlet Letter, The (1995)',\n",
       " 193: 'Showgirls (1995)',\n",
       " 194: 'Smoke (1995)',\n",
       " 195: 'Something to Talk About (1995)',\n",
       " 196: 'Species (1995)',\n",
       " 198: 'Strange Days (1995)',\n",
       " 199: 'Umbrellas of Cherbourg, The (Parapluies de Cherbourg, Les) (1964)',\n",
       " 201: 'Three Wishes (1995)',\n",
       " 202: 'Total Eclipse (1995)',\n",
       " 203: 'To Wong Foo, Thanks for Everything! Julie Newmar (1995)',\n",
       " 204: 'Under Siege 2: Dark Territory (1995)',\n",
       " 205: 'Unstrung Heroes (1995)',\n",
       " 206: 'Unzipped (1995)',\n",
       " 207: 'Walk in the Clouds, A (1995)',\n",
       " 208: 'Waterworld (1995)',\n",
       " 209: \"White Man's Burden (1995)\",\n",
       " 210: 'Wild Bill (1995)',\n",
       " 211: 'Browning Version, The (1994)',\n",
       " 212: 'Bushwhacked (1995)',\n",
       " 213: 'Burnt by the Sun (Utomlyonnye solntsem) (1994)',\n",
       " 214: 'Before the Rain (Pred dozhdot) (1994)',\n",
       " 215: 'Before Sunrise (1995)',\n",
       " 216: 'Billy Madison (1995)',\n",
       " 217: 'Babysitter, The (1995)',\n",
       " 218: 'Boys on the Side (1995)',\n",
       " 219: 'Cure, The (1995)',\n",
       " 220: 'Castle Freak (1995)',\n",
       " 222: 'Circle of Friends (1995)',\n",
       " 223: 'Clerks (1994)',\n",
       " 224: 'Don Juan DeMarco (1995)',\n",
       " 225: 'Disclosure (1994)',\n",
       " 227: 'Drop Zone (1994)',\n",
       " 228: 'Destiny Turns on the Radio (1995)',\n",
       " 229: 'Death and the Maiden (1994)',\n",
       " 230: 'Dolores Claiborne (1995)',\n",
       " 231: 'Dumb & Dumber (Dumb and Dumber) (1994)',\n",
       " 232: 'Eat Drink Man Woman (Yin shi nan nu) (1994)',\n",
       " 233: 'Exotica (1994)',\n",
       " 234: 'Exit to Eden (1994)',\n",
       " 235: 'Ed Wood (1994)',\n",
       " 236: 'French Kiss (1995)',\n",
       " 237: 'Forget Paris (1995)',\n",
       " 238: 'Far From Home: The Adventures of Yellow Dog (1995)',\n",
       " 239: 'Goofy Movie, A (1995)',\n",
       " 240: 'Hideaway (1995)',\n",
       " 241: 'Fluke (1995)',\n",
       " 242: 'Farinelli: il castrato (1994)',\n",
       " 243: 'Gordy (1995)',\n",
       " 246: 'Hoop Dreams (1994)',\n",
       " 247: 'Heavenly Creatures (1994)',\n",
       " 248: 'Houseguest (1994)',\n",
       " 249: 'Immortal Beloved (1994)',\n",
       " 250: 'Heavyweights (Heavy Weights) (1995)',\n",
       " 251: 'Hunted, The (1995)',\n",
       " 252: 'I.Q. (1994)',\n",
       " 253: 'Interview with the Vampire: The Vampire Chronicles (1994)',\n",
       " 254: 'Jefferson in Paris (1995)',\n",
       " 255: 'Jerky Boys, The (1995)',\n",
       " 256: 'Junior (1994)',\n",
       " 257: 'Just Cause (1995)',\n",
       " 258: \"Kid in King Arthur's Court, A (1995)\",\n",
       " 259: 'Kiss of Death (1995)',\n",
       " 260: 'Star Wars: Episode IV - A New Hope (1977)',\n",
       " 261: 'Little Women (1994)',\n",
       " 262: 'Little Princess, A (1995)',\n",
       " 263: 'Ladybird Ladybird (1994)',\n",
       " 265: 'Like Water for Chocolate (Como agua para chocolate) (1992)',\n",
       " 266: 'Legends of the Fall (1994)',\n",
       " 267: 'Major Payne (1995)',\n",
       " 269: 'My Crazy Life (Mi vida loca) (1993)',\n",
       " 270: 'Love Affair (1994)',\n",
       " 271: 'Losing Isaiah (1995)',\n",
       " 272: 'Madness of King George, The (1994)',\n",
       " 273: \"Mary Shelley's Frankenstein (Frankenstein) (1994)\",\n",
       " 274: 'Man of the House (1995)',\n",
       " 275: 'Mixed Nuts (1994)',\n",
       " 276: 'Milk Money (1994)',\n",
       " 277: 'Miracle on 34th Street (1994)',\n",
       " 278: 'Miami Rhapsody (1995)',\n",
       " 279: 'My Family (1995)',\n",
       " 280: 'Murder in the First (1995)',\n",
       " 281: \"Nobody's Fool (1994)\",\n",
       " 282: 'Nell (1994)',\n",
       " 283: 'New Jersey Drive (1995)',\n",
       " 284: 'New York Cop (Nyû Yôku no koppu) (1993)',\n",
       " 285: 'Beyond Bedlam (1993)',\n",
       " 287: 'Nina Takes a Lover (1994)',\n",
       " 288: 'Natural Born Killers (1994)',\n",
       " 289: 'Only You (1994)',\n",
       " 290: 'Once Were Warriors (1994)',\n",
       " 291: 'Poison Ivy II (1996)',\n",
       " 292: 'Outbreak (1995)',\n",
       " 293: 'Léon: The Professional (a.k.a. The Professional) (Léon) (1994)',\n",
       " 294: 'Perez Family, The (1995)',\n",
       " 295: \"Pyromaniac's Love Story, A (1995)\",\n",
       " 296: 'Pulp Fiction (1994)',\n",
       " 298: 'Pushing Hands (Tui shou) (1992)',\n",
       " 299: 'Priest (1994)',\n",
       " 300: 'Quiz Show (1994)',\n",
       " 301: 'Picture Bride (Bijo photo) (1994)',\n",
       " 302: 'Queen Margot (Reine Margot, La) (1994)',\n",
       " 303: 'Quick and the Dead, The (1995)',\n",
       " 304: 'Roommates (1995)',\n",
       " 305: 'Ready to Wear (Pret-A-Porter) (1994)',\n",
       " 306: 'Three Colors: Red (Trois couleurs: Rouge) (1994)',\n",
       " 307: 'Three Colors: Blue (Trois couleurs: Bleu) (1993)',\n",
       " 308: 'Three Colors: White (Trzy kolory: Bialy) (1994)',\n",
       " 310: 'Rent-a-Kid (1995)',\n",
       " 311: 'Relative Fear (1994)',\n",
       " 312: 'Stuart Saves His Family (1995)',\n",
       " 313: 'Swan Princess, The (1994)',\n",
       " 314: 'Secret of Roan Inish, The (1994)',\n",
       " 315: 'Specialist, The (1994)',\n",
       " 316: 'Stargate (1994)',\n",
       " 317: 'Santa Clause, The (1994)',\n",
       " 318: 'Shawshank Redemption, The (1994)',\n",
       " 319: 'Shallow Grave (1994)',\n",
       " 320: 'Suture (1993)',\n",
       " 321: 'Strawberry and Chocolate (Fresa y chocolate) (1993)',\n",
       " 322: 'Swimming with Sharks (1995)',\n",
       " 324: 'Sum of Us, The (1994)',\n",
       " 325: \"National Lampoon's Senior Trip (1995)\",\n",
       " 326: 'To Live (Huozhe) (1994)',\n",
       " 327: 'Tank Girl (1995)',\n",
       " 328: 'Tales from the Crypt Presents: Demon Knight (1995)',\n",
       " 329: 'Star Trek: Generations (1994)',\n",
       " 330: 'Tales from the Hood (1995)',\n",
       " 331: 'Tom & Viv (1994)',\n",
       " 332: 'Village of the Damned (1995)',\n",
       " 333: 'Tommy Boy (1995)',\n",
       " 334: 'Vanya on 42nd Street (1994)',\n",
       " 335: 'Underneath (1995)',\n",
       " 336: 'Walking Dead, The (1995)',\n",
       " 337: \"What's Eating Gilbert Grape (1993)\",\n",
       " 338: 'Virtuosity (1995)',\n",
       " 339: 'While You Were Sleeping (1995)',\n",
       " 340: 'War, The (1994)',\n",
       " 341: 'Double Happiness (1994)',\n",
       " 342: \"Muriel's Wedding (1994)\",\n",
       " 343: 'Baby-Sitters Club, The (1995)',\n",
       " 344: 'Ace Ventura: Pet Detective (1994)',\n",
       " 345: 'Adventures of Priscilla, Queen of the Desert, The (1994)',\n",
       " 346: 'Backbeat (1993)',\n",
       " 347: 'Bitter Moon (1992)',\n",
       " 348: 'Bullets Over Broadway (1994)',\n",
       " 349: 'Clear and Present Danger (1994)',\n",
       " 350: 'Client, The (1994)',\n",
       " 351: 'Corrina, Corrina (1994)',\n",
       " 352: 'Crooklyn (1994)',\n",
       " 353: 'Crow, The (1994)',\n",
       " 354: 'Cobb (1994)',\n",
       " 355: 'Flintstones, The (1994)',\n",
       " 356: 'Forrest Gump (1994)',\n",
       " 357: 'Four Weddings and a Funeral (1994)',\n",
       " 358: 'Higher Learning (1995)',\n",
       " 359: 'I Like It Like That (1994)',\n",
       " 360: 'I Love Trouble (1994)',\n",
       " 361: 'It Could Happen to You (1994)',\n",
       " 362: 'Jungle Book, The (1994)',\n",
       " 363: 'Wonderful, Horrible Life of Leni Riefenstahl, The (Macht der Bilder: Leni Riefenstahl, Die) (1993)',\n",
       " 364: 'Lion King, The (1994)',\n",
       " 365: 'Little Buddha (1993)',\n",
       " 366: \"Wes Craven's New Nightmare (Nightmare on Elm Street Part 7: Freddy's Finale, A) (1994)\",\n",
       " 367: 'Mask, The (1994)',\n",
       " 368: 'Maverick (1994)',\n",
       " 369: 'Mrs. Parker and the Vicious Circle (1994)',\n",
       " 370: 'Naked Gun 33 1/3: The Final Insult (1994)',\n",
       " 371: 'Paper, The (1994)',\n",
       " 372: 'Reality Bites (1994)',\n",
       " 373: 'Red Rock West (1992)',\n",
       " 374: 'Richie Rich (1994)',\n",
       " 376: 'River Wild, The (1994)',\n",
       " 377: 'Speed (1994)',\n",
       " 378: 'Speechless (1994)',\n",
       " 379: 'Timecop (1994)',\n",
       " 380: 'True Lies (1994)',\n",
       " 381: 'When a Man Loves a Woman (1994)',\n",
       " 382: 'Wolf (1994)',\n",
       " 383: 'Wyatt Earp (1994)',\n",
       " 384: 'Bad Company (1995)',\n",
       " 385: 'Man of No Importance, A (1994)',\n",
       " 386: 'S.F.W. (1994)',\n",
       " 387: 'Low Down Dirty Shame, A (1994)',\n",
       " 388: 'Boys Life (1995)',\n",
       " 389: 'Colonel Chabert, Le (1994)',\n",
       " 390: 'Faster Pussycat! Kill! Kill! (1965)',\n",
       " 391: \"Jason's Lyric (1994)\",\n",
       " 393: 'Street Fighter (1994)',\n",
       " 405: 'Highlander III: The Sorcerer (a.k.a. Highlander: The Final Dimension) (1994)',\n",
       " 406: 'Federal Hill (1994)',\n",
       " 407: 'In the Mouth of Madness (1995)',\n",
       " 408: '8 Seconds (1994)',\n",
       " 409: 'Above the Rim (1994)',\n",
       " 410: 'Addams Family Values (1993)',\n",
       " 412: 'Age of Innocence, The (1993)',\n",
       " 413: 'Airheads (1994)',\n",
       " 414: 'Air Up There, The (1994)',\n",
       " 415: 'Another Stakeout (1993)',\n",
       " 416: 'Bad Girls (1994)',\n",
       " 417: 'Barcelona (1994)',\n",
       " 418: 'Being Human (1993)',\n",
       " 419: 'Beverly Hillbillies, The (1993)',\n",
       " 420: 'Beverly Hills Cop III (1994)',\n",
       " 421: 'Black Beauty (1994)',\n",
       " 422: 'Blink (1994)',\n",
       " 423: 'Blown Away (1994)',\n",
       " 424: 'Blue Chips (1994)',\n",
       " 425: 'Blue Sky (1994)',\n",
       " 426: 'Body Snatchers (1993)',\n",
       " 427: 'Boxing Helena (1993)',\n",
       " 428: 'Bronx Tale, A (1993)',\n",
       " 429: 'Cabin Boy (1994)',\n",
       " 430: 'Calendar Girl (1993)',\n",
       " 431: \"Carlito's Way (1993)\",\n",
       " 432: \"City Slickers II: The Legend of Curly's Gold (1994)\",\n",
       " 433: 'Clean Slate (1994)',\n",
       " 434: 'Cliffhanger (1993)',\n",
       " 435: 'Coneheads (1993)',\n",
       " 436: 'Color of Night (1994)',\n",
       " 437: 'Cops and Robbersons (1994)',\n",
       " 438: 'Cowboy Way, The (1994)',\n",
       " 440: 'Dave (1993)',\n",
       " 441: 'Dazed and Confused (1993)',\n",
       " 442: 'Demolition Man (1993)',\n",
       " 444: 'Even Cowgirls Get the Blues (1993)',\n",
       " 445: 'Fatal Instinct (1993)',\n",
       " 446: 'Farewell My Concubine (Ba wang bie ji) (1993)',\n",
       " 448: 'Fearless (1993)',\n",
       " 449: 'Fear of a Black Hat (1994)',\n",
       " 450: 'With Honors (1994)',\n",
       " 451: 'Flesh and Bone (1993)',\n",
       " 452: \"Widows' Peak (1994)\",\n",
       " 453: 'For Love or Money (1993)',\n",
       " 454: 'Firm, The (1993)',\n",
       " 455: 'Free Willy (1993)',\n",
       " 456: 'Fresh (1994)',\n",
       " 457: 'Fugitive, The (1993)',\n",
       " 458: 'Geronimo: An American Legend (1993)',\n",
       " 459: 'Getaway, The (1994)',\n",
       " 460: 'Getting Even with Dad (1994)',\n",
       " 461: 'Go Fish (1994)',\n",
       " 464: 'Hard Target (1993)',\n",
       " 466: 'Hot Shots! Part Deux (1993)',\n",
       " 467: 'Live Nude Girls (1995)',\n",
       " 468: 'Englishman Who Went Up a Hill But Came Down a Mountain, The (1995)',\n",
       " 469: 'House of the Spirits, The (1993)',\n",
       " 470: 'House Party 3 (1994)',\n",
       " 471: 'Hudsucker Proxy, The (1994)',\n",
       " 472: \"I'll Do Anything (1994)\",\n",
       " 473: 'In the Army Now (1994)',\n",
       " 474: 'In the Line of Fire (1993)',\n",
       " 475: 'In the Name of the Father (1993)',\n",
       " 476: 'Inkwell, The (1994)',\n",
       " 477: \"What's Love Got to Do with It? (1993)\",\n",
       " 478: 'Jimmy Hollywood (1994)',\n",
       " 479: 'Judgment Night (1993)',\n",
       " 480: 'Jurassic Park (1993)',\n",
       " 481: 'Kalifornia (1993)',\n",
       " 482: 'Killing Zoe (1994)',\n",
       " 484: 'Lassie (1994)',\n",
       " 485: 'Last Action Hero (1993)',\n",
       " 486: 'Life with Mikey (1993)',\n",
       " 487: 'Lightning Jack (1994)',\n",
       " 488: 'M. Butterfly (1993)',\n",
       " 489: 'Made in America (1993)',\n",
       " 490: 'Malice (1993)',\n",
       " 491: 'Man Without a Face, The (1993)',\n",
       " 492: 'Manhattan Murder Mystery (1993)',\n",
       " 493: 'Menace II Society (1993)',\n",
       " 494: 'Executive Decision (1996)',\n",
       " 495: 'In the Realm of the Senses (Ai no corrida) (1976)',\n",
       " 496: 'What Happened Was... (1994)',\n",
       " 497: 'Much Ado About Nothing (1993)',\n",
       " 499: 'Mr. Wonderful (1993)',\n",
       " 500: 'Mrs. Doubtfire (1993)',\n",
       " 501: 'Naked (1993)',\n",
       " 502: 'Next Karate Kid, The (1994)',\n",
       " 504: 'No Escape (1994)',\n",
       " 505: 'North (1994)',\n",
       " 506: 'Orlando (1992)',\n",
       " 507: 'Perfect World, A (1993)',\n",
       " 508: 'Philadelphia (1993)',\n",
       " 509: 'Piano, The (1993)',\n",
       " 510: 'Poetic Justice (1993)',\n",
       " 511: 'Program, The (1993)',\n",
       " 512: 'Puppet Masters, The (1994)',\n",
       " 513: 'Radioland Murders (1994)',\n",
       " 514: 'Ref, The (1994)',\n",
       " 515: 'Remains of the Day, The (1993)',\n",
       " 516: 'Renaissance Man (1994)',\n",
       " 517: 'Rising Sun (1993)',\n",
       " 518: 'Road to Wellville, The (1994)',\n",
       " 519: 'RoboCop 3 (1993)',\n",
       " 520: 'Robin Hood: Men in Tights (1993)',\n",
       " 521: 'Romeo Is Bleeding (1993)',\n",
       " 522: 'Romper Stomper (1992)',\n",
       " 523: 'Ruby in Paradise (1993)',\n",
       " 524: 'Rudy (1993)',\n",
       " 526: 'Savage Nights (Nuits fauves, Les) (1992)',\n",
       " 527: \"Schindler's List (1993)\",\n",
       " 528: 'Scout, The (1994)',\n",
       " 529: 'Searching for Bobby Fischer (1993)',\n",
       " 531: 'Secret Garden, The (1993)',\n",
       " 532: 'Serial Mom (1994)',\n",
       " 533: 'Shadow, The (1994)',\n",
       " 534: 'Shadowlands (1993)',\n",
       " 535: 'Short Cuts (1993)',\n",
       " 536: 'Simple Twist of Fate, A (1994)',\n",
       " 537: 'Sirens (1994)',\n",
       " 538: 'Six Degrees of Separation (1993)',\n",
       " 539: 'Sleepless in Seattle (1993)',\n",
       " 540: 'Sliver (1993)',\n",
       " 541: 'Blade Runner (1982)',\n",
       " 542: 'Son in Law (1993)',\n",
       " 543: 'So I Married an Axe Murderer (1993)',\n",
       " 544: 'Striking Distance (1993)',\n",
       " 546: 'Super Mario Bros. (1993)',\n",
       " 547: 'Surviving the Game (1994)',\n",
       " 548: 'Terminal Velocity (1994)',\n",
       " 549: 'Thirty-Two Short Films About Glenn Gould (1993)',\n",
       " 550: 'Threesome (1994)',\n",
       " 551: 'Nightmare Before Christmas, The (1993)',\n",
       " 552: 'Three Musketeers, The (1993)',\n",
       " 553: 'Tombstone (1993)',\n",
       " 555: 'True Romance (1993)',\n",
       " 556: 'War Room, The (1993)',\n",
       " 558: 'Pagemaster, The (1994)',\n",
       " 562: 'Welcome to the Dollhouse (1995)',\n",
       " 563: 'Germinal (1993)',\n",
       " 564: 'Chasers (1994)',\n",
       " 567: 'Kika (1993)',\n",
       " 568: 'Bhaji on the Beach (1993)',\n",
       " 569: 'Little Big League (1994)',\n",
       " 573: 'Ciao, Professore! (Io speriamo che me la cavo) (1992)',\n",
       " 574: 'Spanking the Monkey (1994)',\n",
       " 575: 'Little Rascals, The (1994)',\n",
       " 577: 'Andre (1994)',\n",
       " 579: 'Escort, The (Scorta, La) (1993)',\n",
       " 580: 'Princess Caraboo (1994)',\n",
       " 581: 'Celluloid Closet, The (1995)',\n",
       " 583: 'Dear Diary (Caro Diario) (1994)',\n",
       " 585: 'Brady Bunch Movie, The (1995)',\n",
       " 586: 'Home Alone (1990)',\n",
       " 587: 'Ghost (1990)',\n",
       " 588: 'Aladdin (1992)',\n",
       " 589: 'Terminator 2: Judgment Day (1991)',\n",
       " 590: 'Dances with Wolves (1990)',\n",
       " 592: 'Batman (1989)',\n",
       " 593: 'Silence of the Lambs, The (1991)',\n",
       " 594: 'Snow White and the Seven Dwarfs (1937)',\n",
       " 595: 'Beauty and the Beast (1991)',\n",
       " 596: 'Pinocchio (1940)',\n",
       " 597: 'Pretty Woman (1990)',\n",
       " 599: 'Wild Bunch, The (1969)',\n",
       " 600: 'Love and a .45 (1994)',\n",
       " 602: 'Great Day in Harlem, A (1994)',\n",
       " 605: 'One Fine Day (1996)',\n",
       " 606: 'Candyman: Farewell to the Flesh (1995)',\n",
       " 608: 'Fargo (1996)',\n",
       " 609: 'Homeward Bound II: Lost in San Francisco (1996)',\n",
       " 610: 'Heavy Metal (1981)',\n",
       " 611: 'Hellraiser: Bloodline (1996)',\n",
       " 612: 'Pallbearer, The (1996)',\n",
       " 613: 'Jane Eyre (1996)',\n",
       " 615: 'Bread and Chocolate (Pane e cioccolata) (1973)',\n",
       " 616: 'Aristocats, The (1970)',\n",
       " 617: 'Flower of My Secret, The (La flor de mi secreto) (1995)',\n",
       " 618: 'Two Much (1995)',\n",
       " 619: 'Ed (1996)',\n",
       " 626: 'Thin Line Between Love and Hate, A (1996)',\n",
       " 627: 'Last Supper, The (1995)',\n",
       " 628: 'Primal Fear (1996)',\n",
       " 631: 'All Dogs Go to Heaven 2 (1996)',\n",
       " 632: 'Land and Freedom (Tierra y libertad) (1995)',\n",
       " 633: 'Denise Calls Up (1995)',\n",
       " 634: 'Theodore Rex (1995)',\n",
       " 635: 'Family Thing, A (1996)',\n",
       " 636: 'Frisk (1995)',\n",
       " 637: 'Sgt. Bilko (1996)',\n",
       " 638: 'Jack and Sarah (1995)',\n",
       " 639: 'Girl 6 (1996)',\n",
       " 640: 'Diabolique (1996)',\n",
       " 645: 'Nelly & Monsieur Arnaud (1995)',\n",
       " 647: 'Courage Under Fire (1996)',\n",
       " 648: 'Mission: Impossible (1996)',\n",
       " 649: 'Cold Fever (Á köldum klaka) (1995)',\n",
       " 650: 'Moll Flanders (1996)',\n",
       " 653: 'Dragonheart (1996)',\n",
       " 656: 'Eddie (1996)',\n",
       " 661: 'James and the Giant Peach (1996)',\n",
       " 662: 'Fear (1996)',\n",
       " 663: 'Kids in the Hall: Brain Candy (1996)',\n",
       " 665: 'Underground (1995)',\n",
       " 667: 'Bloodsport 2 (a.k.a. Bloodsport II: The Next Kumite) (1996)',\n",
       " 668: 'Song of the Little Road (Pather Panchali) (1955)',\n",
       " 670: 'World of Apu, The (Apur Sansar) (1959)',\n",
       " 671: 'Mystery Science Theater 3000: The Movie (1996)',\n",
       " 673: 'Space Jam (1996)',\n",
       " 674: 'Barbarella (1968)',\n",
       " 678: 'Some Folks Call It a Sling Blade (1993)',\n",
       " 679: 'Run of the Country, The (1995)',\n",
       " 680: 'Alphaville (Alphaville, une étrange aventure de Lemmy Caution) (1965)',\n",
       " 685: \"It's My Party (1996)\",\n",
       " 688: 'Operation Dumbo Drop (1995)',\n",
       " 691: 'Mrs. Winterbourne (1996)',\n",
       " 692: 'Solo (1996)',\n",
       " 694: 'Substitute, The (1996)',\n",
       " 695: 'True Crime (1996)',\n",
       " 697: 'Feeling Minnesota (1996)',\n",
       " 698: 'Delta of Venus (1995)',\n",
       " 700: 'Angus (1995)',\n",
       " 703: 'Boys (1996)',\n",
       " 704: 'Quest, The (1996)',\n",
       " 706: 'Sunset Park (1996)',\n",
       " 707: 'Mulholland Falls (1996)',\n",
       " 708: 'Truth About Cats & Dogs, The (1996)',\n",
       " 709: 'Oliver & Company (1988)',\n",
       " 710: 'Celtic Pride (1996)',\n",
       " 711: 'Flipper (1996)',\n",
       " 714: 'Dead Man (1995)',\n",
       " 715: 'Horseman on the Roof, The (Hussard sur le toit, Le) (1995)',\n",
       " 718: 'Visitors, The (Visiteurs, Les) (1993)',\n",
       " 719: 'Multiplicity (1996)',\n",
       " 720: 'Wallace & Gromit: The Best of Aardman Animation (1996)',\n",
       " 722: 'Haunted World of Edward D. Wood Jr., The (1996)',\n",
       " 724: 'Craft, The (1996)',\n",
       " 725: 'Great White Hype, The (1996)',\n",
       " 726: 'Last Dance (1996)',\n",
       " 728: 'Cold Comfort Farm (1995)',\n",
       " 731: \"Heaven's Prisoners (1996)\",\n",
       " 733: 'Rock, The (1996)',\n",
       " 735: 'Cemetery Man (Dellamorte Dellamore) (1994)',\n",
       " 736: 'Twister (1996)',\n",
       " 737: 'Barb Wire (1996)',\n",
       " 741: 'Ghost in the Shell (Kôkaku kidôtai) (1995)',\n",
       " 742: 'Thinner (1996)',\n",
       " 743: 'Spy Hard (1996)',\n",
       " 745: 'Wallace & Gromit: A Close Shave (1995)',\n",
       " 747: 'Stupids, The (1996)',\n",
       " 748: 'Arrival, The (1996)',\n",
       " 750: 'Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb (1964)',\n",
       " 757: 'Ashes of Time (Dung che sai duk) (1994)',\n",
       " 759: 'Maya Lin: A Strong Clear Vision (1994)',\n",
       " 760: 'Stalingrad (1993)',\n",
       " 761: 'Phantom, The (1996)',\n",
       " 762: 'Striptease (1996)',\n",
       " 764: 'Heavy (1995)',\n",
       " 765: 'Jack (1996)',\n",
       " 766: 'I Shot Andy Warhol (1996)',\n",
       " 773: 'Touki Bouki (1973)',\n",
       " 775: 'Spirits of the Dead (1968)',\n",
       " 778: 'Trainspotting (1996)',\n",
       " 779: \"'Til There Was You (1997)\",\n",
       " 780: 'Independence Day (a.k.a. ID4) (1996)',\n",
       " 781: 'Stealing Beauty (1996)',\n",
       " 782: 'Fan, The (1996)',\n",
       " 783: 'Hunchback of Notre Dame, The (1996)',\n",
       " 784: 'Cable Guy, The (1996)',\n",
       " 785: 'Kingpin (1996)',\n",
       " 786: 'Eraser (1996)',\n",
       " 788: 'Nutty Professor, The (1996)',\n",
       " 790: 'Unforgettable Summer, An (Un été inoubliable) (1994)',\n",
       " 791: 'Last Klezmer: Leopold Kozlowski, His Life and Music, The (1994)',\n",
       " 795: 'Somebody to Love (1994)',\n",
       " 798: 'Daylight (1996)',\n",
       " 799: 'Frighteners, The (1996)',\n",
       " 800: 'Lone Star (1996)',\n",
       " 801: 'Harriet the Spy (1996)',\n",
       " 802: 'Phenomenon (1996)',\n",
       " 803: 'Walking and Talking (1996)',\n",
       " 804: \"She's the One (1996)\",\n",
       " 805: 'Time to Kill, A (1996)',\n",
       " 806: 'American Buffalo (1996)',\n",
       " 808: 'Alaska (1996)',\n",
       " 809: 'Fled (1996)',\n",
       " 810: 'Kazaam (1996)',\n",
       " 813: 'Larger Than Life (1996)',\n",
       " 818: 'Very Brady Sequel, A (1996)',\n",
       " 823: 'Collector, The (La collectionneuse) (1967)',\n",
       " 824: 'Kaspar Hauser (1993)',\n",
       " 828: 'Adventures of Pinocchio, The (1996)',\n",
       " 829: \"Joe's Apartment (1996)\",\n",
       " 830: 'First Wives Club, The (1996)',\n",
       " 832: 'Ransom (1996)',\n",
       " 833: 'High School High (1996)',\n",
       " 835: 'Foxfire (1996)',\n",
       " 836: 'Chain Reaction (1996)',\n",
       " 837: 'Matilda (1996)',\n",
       " 838: 'Emma (1996)',\n",
       " 839: 'Crow: City of Angels, The (1996)',\n",
       " 840: 'House Arrest (1996)',\n",
       " 841: 'Eyes Without a Face (Yeux sans visage, Les) (1959)',\n",
       " 842: 'Tales from the Crypt Presents: Bordello of Blood (1996)',\n",
       " 848: 'Spitfire Grill, The (1996)',\n",
       " 849: 'Escape from L.A. (1996)',\n",
       " 851: 'Basquiat (1996)',\n",
       " 852: 'Tin Cup (1996)',\n",
       " 858: 'Godfather, The (1972)',\n",
       " 861: 'Supercop (Police Story 3: Supercop) (Jing cha gu shi III: Chao ji jing cha) (1992)',\n",
       " 866: 'Bound (1996)',\n",
       " 867: 'Carpool (1996)',\n",
       " 869: 'Kansas City (1996)',\n",
       " 870: \"Gone Fishin' (1997)\",\n",
       " 875: 'Nothing to Lose (1994)',\n",
       " 876: 'Supercop 2 (Project S) (Chao ji ji hua) (1993)',\n",
       " 879: 'Relic, The (1997)',\n",
       " 880: 'Island of Dr. Moreau, The (1996)',\n",
       " 881: 'First Kid (1996)',\n",
       " 882: 'Trigger Effect, The (1996)',\n",
       " 885: 'Bogus (1996)',\n",
       " 886: 'Bulletproof (1996)',\n",
       " 888: 'Land Before Time III: The Time of the Great Giving (1995)',\n",
       " 889: '1-900 (06) (1994)',\n",
       " 891: 'Halloween: The Curse of Michael Myers (Halloween 6: The Curse of Michael Myers) (1995)',\n",
       " 892: 'Twelfth Night (1996)',\n",
       " 893: 'Mother Night (1996)',\n",
       " 896: 'Wild Reeds (Les roseaux sauvages) (1994)',\n",
       " 897: 'For Whom the Bell Tolls (1943)',\n",
       " 898: 'Philadelphia Story, The (1940)',\n",
       " 899: \"Singin' in the Rain (1952)\",\n",
       " 900: 'American in Paris, An (1951)',\n",
       " 901: 'Funny Face (1957)',\n",
       " 902: \"Breakfast at Tiffany's (1961)\",\n",
       " 903: 'Vertigo (1958)',\n",
       " 904: 'Rear Window (1954)',\n",
       " 905: 'It Happened One Night (1934)',\n",
       " 906: 'Gaslight (1944)',\n",
       " 907: 'Gay Divorcee, The (1934)',\n",
       " 908: 'North by Northwest (1959)',\n",
       " 909: 'Apartment, The (1960)',\n",
       " 910: 'Some Like It Hot (1959)',\n",
       " 911: 'Charade (1963)',\n",
       " 912: 'Casablanca (1942)',\n",
       " 913: 'Maltese Falcon, The (1941)',\n",
       " 914: 'My Fair Lady (1964)',\n",
       " 915: 'Sabrina (1954)',\n",
       " 916: 'Roman Holiday (1953)',\n",
       " 917: 'Little Princess, The (1939)',\n",
       " 918: 'Meet Me in St. Louis (1944)',\n",
       " 919: 'Wizard of Oz, The (1939)',\n",
       " 920: 'Gone with the Wind (1939)',\n",
       " 921: 'My Favorite Year (1982)',\n",
       " 922: 'Sunset Blvd. (a.k.a. Sunset Boulevard) (1950)',\n",
       " 923: 'Citizen Kane (1941)',\n",
       " 924: '2001: A Space Odyssey (1968)',\n",
       " 926: 'All About Eve (1950)',\n",
       " 927: 'Women, The (1939)',\n",
       " 928: 'Rebecca (1940)',\n",
       " 929: 'Foreign Correspondent (1940)',\n",
       " 930: 'Notorious (1946)',\n",
       " 931: 'Spellbound (1945)',\n",
       " 932: 'Affair to Remember, An (1957)',\n",
       " 933: 'To Catch a Thief (1955)',\n",
       " 934: 'Father of the Bride (1950)',\n",
       " 935: 'Band Wagon, The (1953)',\n",
       " 936: 'Ninotchka (1939)',\n",
       " 937: 'Love in the Afternoon (1957)',\n",
       " 938: 'Gigi (1958)',\n",
       " 940: 'Adventures of Robin Hood, The (1938)',\n",
       " 941: 'Mark of Zorro, The (1940)',\n",
       " 942: 'Laura (1944)',\n",
       " 943: 'Ghost and Mrs. Muir, The (1947)',\n",
       " 944: 'Lost Horizon (1937)',\n",
       " 945: 'Top Hat (1935)',\n",
       " 946: 'To Be or Not to Be (1942)',\n",
       " 947: 'My Man Godfrey (1936)',\n",
       " 948: 'Giant (1956)',\n",
       " 949: 'East of Eden (1955)',\n",
       " 950: 'Thin Man, The (1934)',\n",
       " 951: 'His Girl Friday (1940)',\n",
       " 952: 'Around the World in 80 Days (1956)',\n",
       " 953: \"It's a Wonderful Life (1946)\",\n",
       " 954: 'Mr. Smith Goes to Washington (1939)',\n",
       " 955: 'Bringing Up Baby (1938)',\n",
       " 956: 'Penny Serenade (1941)',\n",
       " 959: 'Of Human Bondage (1934)',\n",
       " 961: 'Little Lord Fauntleroy (1936)',\n",
       " 963: 'Inspector General, The (1949)',\n",
       " 965: '39 Steps, The (1935)',\n",
       " 968: 'Night of the Living Dead (1968)',\n",
       " 969: 'African Queen, The (1951)',\n",
       " 970: 'Beat the Devil (1953)',\n",
       " 971: 'Cat on a Hot Tin Roof (1958)',\n",
       " 973: 'Meet John Doe (1941)',\n",
       " 976: 'Farewell to Arms, A (1932)',\n",
       " 979: 'Nothing Personal (1995)',\n",
       " 981: 'Dangerous Ground (1997)',\n",
       " 982: 'Picnic (1955)',\n",
       " 984: 'Pompatus of Love, The (1996)',\n",
       " 986: 'Fly Away Home (1996)',\n",
       " 987: 'Bliss (1997)',\n",
       " 988: 'Grace of My Heart (1996)',\n",
       " 990: 'Maximum Risk (1996)',\n",
       " 991: 'Michael Collins (1996)',\n",
       " 993: 'Infinity (1996)',\n",
       " 994: 'Big Night (1996)',\n",
       " 996: 'Last Man Standing (1996)',\n",
       " 998: 'Set It Off (1996)',\n",
       " 999: '2 Days in the Valley (1996)',\n",
       " 1003: 'Extreme Measures (1996)',\n",
       " 1004: 'Glimmer Man, The (1996)',\n",
       " 1005: 'D3: The Mighty Ducks (1996)',\n",
       " 1006: 'Chamber, The (1996)',\n",
       " 1007: 'Apple Dumpling Gang, The (1975)',\n",
       " 1008: 'Davy Crockett, King of the Wild Frontier (1955)',\n",
       " 1009: 'Escape to Witch Mountain (1975)',\n",
       " 1010: 'Love Bug, The (1969)',\n",
       " 1011: 'Herbie Rides Again (1974)',\n",
       " 1012: 'Old Yeller (1957)',\n",
       " 1013: 'Parent Trap, The (1961)',\n",
       " 1014: 'Pollyanna (1960)',\n",
       " 1015: 'Homeward Bound: The Incredible Journey (1993)',\n",
       " 1016: 'Shaggy Dog, The (1959)',\n",
       " 1017: 'Swiss Family Robinson (1960)',\n",
       " 1018: 'That Darn Cat! (1965)',\n",
       " 1019: '20,000 Leagues Under the Sea (1954)',\n",
       " 1020: 'Cool Runnings (1993)',\n",
       " 1021: 'Angels in the Outfield (1994)',\n",
       " 1022: 'Cinderella (1950)',\n",
       " 1023: 'Winnie the Pooh and the Blustery Day (1968)',\n",
       " 1024: 'Three Caballeros, The (1945)',\n",
       " 1025: 'Sword in the Stone, The (1963)',\n",
       " 1027: 'Robin Hood: Prince of Thieves (1991)',\n",
       " 1028: 'Mary Poppins (1964)',\n",
       " 1029: 'Dumbo (1941)',\n",
       " 1030: \"Pete's Dragon (1977)\",\n",
       " 1031: 'Bedknobs and Broomsticks (1971)',\n",
       " 1032: 'Alice in Wonderland (1951)',\n",
       " 1033: 'Fox and the Hound, The (1981)',\n",
       " 1034: 'Freeway (1996)',\n",
       " 1035: 'Sound of Music, The (1965)',\n",
       " 1036: 'Die Hard (1988)',\n",
       " 1037: 'Lawnmower Man, The (1992)',\n",
       " 1040: 'Secret Agent, The (1996)',\n",
       " 1041: 'Secrets & Lies (1996)',\n",
       " 1042: 'That Thing You Do! (1996)',\n",
       " 1043: 'To Gillian on Her 37th Birthday (1996)',\n",
       " 1046: 'Beautiful Thing (1996)',\n",
       " 1047: 'Long Kiss Goodnight, The (1996)',\n",
       " 1049: 'Ghost and the Darkness, The (1996)',\n",
       " 1050: 'Looking for Richard (1996)',\n",
       " 1051: 'Trees Lounge (1996)',\n",
       " 1053: 'Normal Life (1996)',\n",
       " 1054: 'Get on the Bus (1996)',\n",
       " 1055: 'Shadow Conspiracy (1997)',\n",
       " 1056: 'Jude (1996)',\n",
       " 1057: 'Everyone Says I Love You (1996)',\n",
       " 1059: \"William Shakespeare's Romeo + Juliet (1996)\",\n",
       " 1060: 'Swingers (1996)',\n",
       " 1061: 'Sleepers (1996)',\n",
       " 1064: 'Aladdin and the King of Thieves (1996)',\n",
       " 1066: 'Shall We Dance (1937)',\n",
       " 1068: 'Crossfire (1947)',\n",
       " 1073: 'Willy Wonka & the Chocolate Factory (1971)',\n",
       " 1076: 'Innocents, The (1961)',\n",
       " 1077: 'Sleeper (1973)',\n",
       " 1078: 'Bananas (1971)',\n",
       " 1079: 'Fish Called Wanda, A (1988)',\n",
       " 1080: \"Monty Python's Life of Brian (1979)\",\n",
       " 1081: 'Victor/Victoria (1982)',\n",
       " 1082: 'Candidate, The (1972)',\n",
       " 1083: 'Great Race, The (1965)',\n",
       " 1084: 'Bonnie and Clyde (1967)',\n",
       " 1085: 'Old Man and the Sea, The (1958)',\n",
       " 1086: 'Dial M for Murder (1954)',\n",
       " 1088: 'Dirty Dancing (1987)',\n",
       " 1089: 'Reservoir Dogs (1992)',\n",
       " 1090: 'Platoon (1986)',\n",
       " 1091: \"Weekend at Bernie's (1989)\",\n",
       " 1092: 'Basic Instinct (1992)',\n",
       " 1093: 'Doors, The (1991)',\n",
       " 1094: 'Crying Game, The (1992)',\n",
       " 1095: 'Glengarry Glen Ross (1992)',\n",
       " 1096: \"Sophie's Choice (1982)\",\n",
       " 1097: 'E.T. the Extra-Terrestrial (1982)',\n",
       " 1099: 'Christmas Carol, A (1938)',\n",
       " 1100: 'Days of Thunder (1990)',\n",
       " 1101: 'Top Gun (1986)',\n",
       " 1103: 'Rebel Without a Cause (1955)',\n",
       " 1104: 'Streetcar Named Desire, A (1951)',\n",
       " 1105: 'Children of the Corn IV: The Gathering (1996)',\n",
       " 1107: 'Loser (1991)',\n",
       " 1111: \"Microcosmos (Microcosmos: Le peuple de l'herbe) (1996)\",\n",
       " 1112: 'Palookaville (1996)',\n",
       " 1114: 'Funeral, The (1996)',\n",
       " 1116: 'Single Girl, A (Fille seule, La) (1995)',\n",
       " 1117: 'Eighth Day, The (Huitième jour, Le) (1996)',\n",
       " 1119: 'Drunks (1995)',\n",
       " 1120: 'People vs. Larry Flynt, The (1996)',\n",
       " 1121: 'Glory Daze (1995)',\n",
       " 1123: 'Perfect Candidate, A (1996)',\n",
       " 1124: 'On Golden Pond (1981)',\n",
       " 1125: 'Return of the Pink Panther, The (1975)',\n",
       " 1126: 'Drop Dead Fred (1991)',\n",
       " 1127: 'Abyss, The (1989)',\n",
       " 1128: 'Fog, The (1980)',\n",
       " 1129: 'Escape from New York (1981)',\n",
       " 1130: 'Howling, The (1980)',\n",
       " 1131: 'Jean de Florette (1986)',\n",
       " 1132: 'Manon of the Spring (Manon des sources) (1986)',\n",
       " 1135: 'Private Benjamin (1980)',\n",
       " 1136: 'Monty Python and the Holy Grail (1975)',\n",
       " 1137: 'Hustler White (1996)',\n",
       " 1140: 'Entertaining Angels: The Dorothy Day Story (1996)',\n",
       " 1144: 'Line King: The Al Hirschfeld Story, The (1996)',\n",
       " 1147: 'When We Were Kings (1996)',\n",
       " 1148: 'Wallace & Gromit: The Wrong Trousers (1993)',\n",
       " 1150: 'Return of Martin Guerre, The (Retour de Martin Guerre, Le) (1982)',\n",
       " 1151: 'Lesson Faust (1994)',\n",
       " 1156: 'Children Are Watching Us, The (Bambini ci guardano, I) (1944)',\n",
       " 1161: 'Tin Drum, The (Blechtrommel, Die) (1979)',\n",
       " 1162: 'Ruling Class, The (1972)',\n",
       " 1163: 'Mina Tannenbaum (1994)',\n",
       " 1167: 'Dear God (1996)',\n",
       " 1170: 'Best of the Best 3: No Turning Back (1995)',\n",
       " 1171: 'Bob Roberts (1992)',\n",
       " 1172: 'Cinema Paradiso (Nuovo cinema Paradiso) (1989)',\n",
       " 1173: 'Cook the Thief His Wife & Her Lover, The (1989)',\n",
       " 1175: 'Delicatessen (1991)',\n",
       " 1176: 'Double Life of Veronique, The (Double Vie de Véronique, La) (1991)',\n",
       " 1177: 'Enchanted April (1992)',\n",
       " 1178: 'Paths of Glory (1957)',\n",
       " 1179: 'Grifters, The (1990)',\n",
       " 1180: 'Hear My Song (1991)',\n",
       " 1183: 'English Patient, The (1996)',\n",
       " 1184: 'Mediterraneo (1991)',\n",
       " 1185: 'My Left Foot (1989)',\n",
       " 1186: 'Sex, Lies, and Videotape (1989)',\n",
       " 1187: 'Passion Fish (1992)',\n",
       " 1188: 'Strictly Ballroom (1992)',\n",
       " 1189: 'Thin Blue Line, The (1988)',\n",
       " 1190: 'Tie Me Up! Tie Me Down! (¡Átame!) (1990)',\n",
       " 1191: 'Madonna: Truth or Dare (1991)',\n",
       " 1192: 'Paris Is Burning (1990)',\n",
       " 1193: \"One Flew Over the Cuckoo's Nest (1975)\",\n",
       " 1194: \"Cheech and Chong's Up in Smoke (1978)\",\n",
       " 1196: 'Star Wars: Episode V - The Empire Strikes Back (1980)',\n",
       " 1197: 'Princess Bride, The (1987)',\n",
       " 1198: 'Raiders of the Lost Ark (Indiana Jones and the Raiders of the Lost Ark) (1981)',\n",
       " 1199: 'Brazil (1985)',\n",
       " 1200: 'Aliens (1986)',\n",
       " 1201: 'Good, the Bad and the Ugly, The (Buono, il brutto, il cattivo, Il) (1966)',\n",
       " 1202: 'Withnail & I (1987)',\n",
       " 1203: '12 Angry Men (1957)',\n",
       " 1204: 'Lawrence of Arabia (1962)',\n",
       " 1206: 'Clockwork Orange, A (1971)',\n",
       " 1207: 'To Kill a Mockingbird (1962)',\n",
       " 1208: 'Apocalypse Now (1979)',\n",
       " 1209: \"Once Upon a Time in the West (C'era una volta il West) (1968)\",\n",
       " 1210: 'Star Wars: Episode VI - Return of the Jedi (1983)',\n",
       " 1211: 'Wings of Desire (Himmel über Berlin, Der) (1987)',\n",
       " 1212: 'Third Man, The (1949)',\n",
       " 1213: 'Goodfellas (1990)',\n",
       " 1214: 'Alien (1979)',\n",
       " 1215: 'Army of Darkness (1993)',\n",
       " 1216: 'Big Blue, The (Grand bleu, Le) (1988)',\n",
       " 1217: 'Ran (1985)',\n",
       " 1218: 'Killer, The (Die xue shuang xiong) (1989)',\n",
       " 1219: 'Psycho (1960)',\n",
       " 1220: 'Blues Brothers, The (1980)',\n",
       " 1221: 'Godfather: Part II, The (1974)',\n",
       " 1222: 'Full Metal Jacket (1987)',\n",
       " 1223: 'Grand Day Out with Wallace and Gromit, A (1989)',\n",
       " 1224: 'Henry V (1989)',\n",
       " 1225: 'Amadeus (1984)',\n",
       " 1226: 'Quiet Man, The (1952)',\n",
       " 1227: 'Once Upon a Time in America (1984)',\n",
       " 1228: 'Raging Bull (1980)',\n",
       " 1230: 'Annie Hall (1977)',\n",
       " 1231: 'Right Stuff, The (1983)',\n",
       " 1232: 'Stalker (1979)',\n",
       " 1233: 'Boot, Das (Boat, The) (1981)',\n",
       " 1234: 'Sting, The (1973)',\n",
       " 1235: 'Harold and Maude (1971)',\n",
       " 1236: 'Trust (1990)',\n",
       " 1237: 'Seventh Seal, The (Sjunde inseglet, Det) (1957)',\n",
       " 1238: 'Local Hero (1983)',\n",
       " 1240: 'Terminator, The (1984)',\n",
       " 1241: 'Dead Alive (Braindead) (1992)',\n",
       " 1242: 'Glory (1989)',\n",
       " 1243: 'Rosencrantz and Guildenstern Are Dead (1990)',\n",
       " 1244: 'Manhattan (1979)',\n",
       " 1245: \"Miller's Crossing (1990)\",\n",
       " 1246: 'Dead Poets Society (1989)',\n",
       " 1247: 'Graduate, The (1967)',\n",
       " 1248: 'Touch of Evil (1958)',\n",
       " 1249: 'Femme Nikita, La (Nikita) (1990)',\n",
       " 1250: 'Bridge on the River Kwai, The (1957)',\n",
       " 1251: '8 1/2 (8½) (1963)',\n",
       " 1252: 'Chinatown (1974)',\n",
       " 1253: 'Day the Earth Stood Still, The (1951)',\n",
       " 1254: 'Treasure of the Sierra Madre, The (1948)',\n",
       " 1255: 'Bad Taste (1987)',\n",
       " 1256: 'Duck Soup (1933)',\n",
       " 1257: 'Better Off Dead... (1985)',\n",
       " 1258: 'Shining, The (1980)',\n",
       " 1259: 'Stand by Me (1986)',\n",
       " 1260: 'M (1931)',\n",
       " 1261: 'Evil Dead II (Dead by Dawn) (1987)',\n",
       " 1262: 'Great Escape, The (1963)',\n",
       " 1263: 'Deer Hunter, The (1978)',\n",
       " 1264: 'Diva (1981)',\n",
       " 1265: 'Groundhog Day (1993)',\n",
       " 1266: 'Unforgiven (1992)',\n",
       " 1267: 'Manchurian Candidate, The (1962)',\n",
       " 1268: 'Pump Up the Volume (1990)',\n",
       " 1269: 'Arsenic and Old Lace (1944)',\n",
       " 1270: 'Back to the Future (1985)',\n",
       " 1271: 'Fried Green Tomatoes (1991)',\n",
       " 1272: 'Patton (1970)',\n",
       " 1273: 'Down by Law (1986)',\n",
       " 1274: 'Akira (1988)',\n",
       " 1275: 'Highlander (1986)',\n",
       " 1276: 'Cool Hand Luke (1967)',\n",
       " 1277: 'Cyrano de Bergerac (1990)',\n",
       " 1278: 'Young Frankenstein (1974)',\n",
       " 1279: 'Night on Earth (1991)',\n",
       " 1280: 'Raise the Red Lantern (Da hong deng long gao gao gua) (1991)',\n",
       " 1281: 'Great Dictator, The (1940)',\n",
       " 1282: 'Fantasia (1940)',\n",
       " 1283: 'High Noon (1952)',\n",
       " 1284: 'Big Sleep, The (1946)',\n",
       " 1285: 'Heathers (1989)',\n",
       " 1286: 'Somewhere in Time (1980)',\n",
       " 1287: 'Ben-Hur (1959)',\n",
       " 1288: 'This Is Spinal Tap (1984)',\n",
       " 1289: 'Koyaanisqatsi (a.k.a. Koyaanisqatsi: Life Out of Balance) (1983)',\n",
       " 1290: 'Some Kind of Wonderful (1987)',\n",
       " 1291: 'Indiana Jones and the Last Crusade (1989)',\n",
       " 1292: 'Being There (1979)',\n",
       " 1293: 'Gandhi (1982)',\n",
       " 1295: 'Unbearable Lightness of Being, The (1988)',\n",
       " 1296: 'Room with a View, A (1986)',\n",
       " 1297: 'Real Genius (1985)',\n",
       " 1298: 'Pink Floyd: The Wall (1982)',\n",
       " 1299: 'Killing Fields, The (1984)',\n",
       " 1300: 'My Life as a Dog (Mitt liv som hund) (1985)',\n",
       " 1301: 'Forbidden Planet (1956)',\n",
       " ...}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_names_dict = data_movie_names.set_index('movieId').to_dict()['title']\n",
    "movie_names_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1260759144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1029</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1260759179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1061</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1260759182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1129</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1260759185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1172</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1260759205</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userId  movieId  rating   timestamp\n",
       "0       1       31     2.5  1260759144\n",
       "1       1     1029     3.0  1260759179\n",
       "2       1     1061     3.0  1260759182\n",
       "3       1     1129     2.0  1260759185\n",
       "4       1     1172     4.0  1260759205"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filepath = 'D:/Data_Science/Recommender systems/the-movies-dataset/'\n",
    "filename = 'ratings_small.csv'\n",
    "data = pd.read_csv(filepath + filename)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100004, 4)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#make interaction dictionary\n",
    "\n",
    "interaction_dict = {}\n",
    "cid_to_idx = {}\n",
    "idx_to_cid = {}\n",
    "uid_to_idx ={}\n",
    "idx_to_uid = {}\n",
    "cidx = 0\n",
    "uidx = 0\n",
    "\n",
    "input_file = filepath + filename\n",
    "with open(input_file) as fp:\n",
    "    next(fp)\n",
    "    for line in fp:\n",
    "        row = line.split(',') \n",
    "        uid = int(row[0])\n",
    "        cid = int(row[1])\n",
    "        rating = float(row[2])\n",
    "        if uid_to_idx.get(uid) == None :\n",
    "            uid_to_idx[uid] = uidx\n",
    "            idx_to_uid[uidx] = uid\n",
    "            interaction_dict[uid] = {}\n",
    "            uidx+=1\n",
    "        \n",
    "        if cid_to_idx.get(cid) == None :\n",
    "            cid_to_idx[cid] = cidx\n",
    "            idx_to_cid[cidx] = cid\n",
    "            cidx+=1\n",
    "            \n",
    "        interaction_dict[uid][cid] = rating\n",
    "\n",
    "fp.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unique users : 671\n",
      "unique movies : 9066\n"
     ]
    }
   ],
   "source": [
    "print(\"unique users : {}\".format(data.userId.nunique()))\n",
    "print(\"unique movies : {}\".format(data.movieId.nunique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#interaction_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "row = []\n",
    "column = []\n",
    "data_1 = []\n",
    "\n",
    "for uid in interaction_dict.keys():\n",
    "    for cid in interaction_dict[uid].keys():\n",
    "        row.append(cid_to_idx[cid])\n",
    "        column.append(uid_to_idx[uid])\n",
    "        data_1.append(interaction_dict[uid][cid])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<671x9066 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 100004 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item_user_data = sparse.csr_matrix((data_1,(column,row)))\n",
    "item_user_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(671, 9066)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item_user_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([2.5000, 3.0000, 3.0000,  ..., 0.0000, 0.0000, 0.0000],\n",
       "       dtype=torch.float64)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.tensor(item_user_data[0].todense())[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "566"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_dim = len(cid_to_idx)\n",
    "h_layer_2 = int(round(len(cid_to_idx) / 4))\n",
    "h_layer_3 = int(round(h_layer_2 / 4))\n",
    "h_layer_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AutoEncoder(nn.Module):\n",
    "    def __init__(self): #Class contructor\n",
    "        super(AutoEncoder,self).__init__() #Caal parent constructor\n",
    "        self.fc1 = nn.Linear(in_features = input_dim , out_features = h_layer_2) #out_features = size of output tensor. This is rank1 tensor\n",
    "        self.fc2 = nn.Linear(in_features = h_layer_2 , out_features = h_layer_3)\n",
    "        self.fc3 = nn.Linear(in_features = h_layer_3 , out_features = h_layer_2)\n",
    "        self.out = nn.Linear(in_features = h_layer_2 , out_features = input_dim)\n",
    "    \n",
    "    def forward(self,t):\n",
    "    #implement forward pass\n",
    "        \n",
    "        #1. Input layer \n",
    "        t = self.fc1(t)\n",
    "        t = F.relu(t)\n",
    "        \n",
    "        #2. Hidden Linear Layer\n",
    "        t = self.fc2(t)\n",
    "        t = F.relu(t)\n",
    "        \n",
    "        #3. Hidden Linear Layer\n",
    "        t = self.fc3(t)\n",
    "        t = F.relu(t)\n",
    "        \n",
    "        #3. Output layer\n",
    "        t = self.out(t)\n",
    "        t = F.relu(t)\n",
    "        \n",
    "        return t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AutoEncoder(\n",
       "  (fc1): Linear(in_features=9066, out_features=2266, bias=True)\n",
       "  (fc2): Linear(in_features=2266, out_features=566, bias=True)\n",
       "  (fc3): Linear(in_features=566, out_features=2266, bias=True)\n",
       "  (out): Linear(in_features=2266, out_features=9066, bias=True)\n",
       ")"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "self_ae = AutoEncoder() #Runs the class contructor\n",
    "self_ae.double().cuda()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#torchvision.datasets.DatasetFolder('')\n",
    "#train_data_loader = data.DataLoader(item_user_data, 256)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#next(iter(train_data_loader))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#item_user_data[batch]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing epoch :1  , batch : 1\n",
      "processing epoch :1  , batch : 101\n",
      "processing epoch :1  , batch : 201\n",
      "processing epoch :1  , batch : 301\n",
      "processing epoch :1  , batch : 401\n",
      "processing epoch :1  , batch : 501\n",
      "processing epoch :1  , batch : 601\n",
      "epoch : 1\t batch : 671\t loss : 0.18930687729219048\n",
      "processing epoch :2  , batch : 1\n",
      "processing epoch :2  , batch : 101\n",
      "processing epoch :2  , batch : 201\n",
      "processing epoch :2  , batch : 301\n",
      "processing epoch :2  , batch : 401\n",
      "processing epoch :2  , batch : 501\n",
      "processing epoch :2  , batch : 601\n",
      "epoch : 2\t batch : 671\t loss : 0.17599580324836142\n",
      "processing epoch :3  , batch : 1\n",
      "processing epoch :3  , batch : 101\n",
      "processing epoch :3  , batch : 201\n",
      "processing epoch :3  , batch : 301\n",
      "processing epoch :3  , batch : 401\n",
      "processing epoch :3  , batch : 501\n",
      "processing epoch :3  , batch : 601\n",
      "epoch : 3\t batch : 671\t loss : 0.16079334422014396\n",
      "processing epoch :4  , batch : 1\n",
      "processing epoch :4  , batch : 101\n",
      "processing epoch :4  , batch : 201\n",
      "processing epoch :4  , batch : 301\n",
      "processing epoch :4  , batch : 401\n",
      "processing epoch :4  , batch : 501\n",
      "processing epoch :4  , batch : 601\n",
      "epoch : 4\t batch : 671\t loss : 0.1599691675068887\n",
      "processing epoch :5  , batch : 1\n",
      "processing epoch :5  , batch : 101\n",
      "processing epoch :5  , batch : 201\n",
      "processing epoch :5  , batch : 301\n",
      "processing epoch :5  , batch : 401\n",
      "processing epoch :5  , batch : 501\n",
      "processing epoch :5  , batch : 601\n",
      "epoch : 5\t batch : 671\t loss : 0.16615026283120088\n",
      "processing epoch :6  , batch : 1\n",
      "processing epoch :6  , batch : 101\n",
      "processing epoch :6  , batch : 201\n",
      "processing epoch :6  , batch : 301\n",
      "processing epoch :6  , batch : 401\n",
      "processing epoch :6  , batch : 501\n",
      "processing epoch :6  , batch : 601\n",
      "epoch : 6\t batch : 671\t loss : 0.15816243276791184\n",
      "processing epoch :7  , batch : 1\n",
      "processing epoch :7  , batch : 101\n",
      "processing epoch :7  , batch : 201\n",
      "processing epoch :7  , batch : 301\n",
      "processing epoch :7  , batch : 401\n",
      "processing epoch :7  , batch : 501\n",
      "processing epoch :7  , batch : 601\n",
      "epoch : 7\t batch : 671\t loss : 0.16822628104517304\n",
      "processing epoch :8  , batch : 1\n",
      "processing epoch :8  , batch : 101\n",
      "processing epoch :8  , batch : 201\n",
      "processing epoch :8  , batch : 301\n",
      "processing epoch :8  , batch : 401\n",
      "processing epoch :8  , batch : 501\n",
      "processing epoch :8  , batch : 601\n",
      "epoch : 8\t batch : 671\t loss : 0.15829044630762978\n",
      "processing epoch :9  , batch : 1\n",
      "processing epoch :9  , batch : 101\n",
      "processing epoch :9  , batch : 201\n",
      "processing epoch :9  , batch : 301\n",
      "processing epoch :9  , batch : 401\n",
      "processing epoch :9  , batch : 501\n",
      "processing epoch :9  , batch : 601\n",
      "epoch : 9\t batch : 671\t loss : 0.14542658786504323\n"
     ]
    }
   ],
   "source": [
    "learning_rate = 0.001\n",
    "optimizer = torch.optim.Adam(self_ae.parameters(), lr=learning_rate)\n",
    "criterion = F.mse_loss\n",
    "epochs = 10\n",
    "\n",
    "for epoch in range(1,epochs):\n",
    "    for batch in range(0,item_user_data.shape[0]):\n",
    "        if batch % 100 == 0:\n",
    "            print('processing epoch :{}  , batch : {}'.format(epoch , batch+1))\n",
    "        inputs = torch.tensor(np.array(item_user_data[batch].todense())[0])\n",
    "        inputs = inputs.cuda()\n",
    "        target = inputs\n",
    "        # zero the parameter gradients\n",
    "        optimizer.zero_grad()\n",
    "        y_pred = self_ae(inputs.double())\n",
    "        loss = criterion(y_pred, target)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "    print(\"epoch : {}\\t batch : {}\\t loss : {}\".format(epoch,batch+1,loss.item()))\n",
    "    torch.save(self_ae.state_dict(), ('model'+str(epoch)))\n",
    "    \n",
    "torch.save(self_ae.state_dict(), 'model.final')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AutoEncoder(\n",
       "  (fc1): Linear(in_features=9066, out_features=2266, bias=True)\n",
       "  (fc2): Linear(in_features=2266, out_features=566, bias=True)\n",
       "  (fc3): Linear(in_features=566, out_features=2266, bias=True)\n",
       "  (out): Linear(in_features=2266, out_features=9066, bias=True)\n",
       ")"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "self_ae.eval().cpu()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WATCHED MOVIES :\n",
      "index : 49\t id : 296\t name : Pulp Fiction (1994)\n",
      "index : 652\t id : 6\t name : Heat (1995)\n",
      "index : 57\t id : 356\t name : Forrest Gump (1994)\n",
      "index : 69\t id : 457\t name : Fugitive, The (1993)\n",
      "index : 433\t id : 786\t name : Eraser (1996)\n",
      "index : 432\t id : 780\t name : Independence Day (a.k.a. ID4) (1996)\n",
      "index : 32\t id : 165\t name : Die Hard: With a Vengeance (1995)\n",
      "index : 146\t id : 380\t name : True Lies (1994)\n",
      "index : 2067\t id : 81\t name : Things to Do in Denver When You're Dead (1995)\n",
      "index : 90\t id : 590\t name : Dances with Wolves (1990)\n",
      "PREDICTED MOVIES\n",
      "index : 29\t id : 150\t name : Apollo 13 (1995)\n",
      "index : 99\t id : 318\t name : Shawshank Redemption, The (1994)\n",
      "index : 92\t id : 593\t name : Silence of the Lambs, The (1991)\n",
      "index : 57\t id : 356\t name : Forrest Gump (1994)\n",
      "index : 49\t id : 296\t name : Pulp Fiction (1994)\n",
      "index : 72\t id : 480\t name : Jurassic Park (1993)\n",
      "index : 69\t id : 457\t name : Fugitive, The (1993)\n",
      "index : 323\t id : 344\t name : Ace Ventura: Pet Detective (1994)\n",
      "index : 90\t id : 590\t name : Dances with Wolves (1990)\n",
      "index : 88\t id : 588\t name : Aladdin (1992)\n"
     ]
    }
   ],
   "source": [
    "idx = uid_to_idx[24]\n",
    "inputs = np.array(item_user_data[idx].todense())[0]\n",
    "watched_movie_idx = np.argsort(inputs)[-10:][::-1]\n",
    "inputs = torch.tensor(inputs)\n",
    "\n",
    "\n",
    "print('WATCHED MOVIES :')\n",
    "for i in watched_movie_idx:\n",
    "    movie_id = idx_to_cid[i]\n",
    "    try :\n",
    "        name = movie_names_dict[movie_id]\n",
    "    except :\n",
    "        name = 'unknown'\n",
    "    print('index : {}\\t id : {}\\t name : {}'.format(i,movie_id,name))\n",
    "    \n",
    "y_pred = self_ae(inputs)\n",
    "y_pred = y_pred.detach().numpy()\n",
    "pred_idx = np.argsort(y_pred)[-10:][::-1]\n",
    "    \n",
    "print('PREDICTED MOVIES')\n",
    "for i in pred_idx: #reverse list\n",
    "    movid_id = idx_to_cid[i]\n",
    "    try :\n",
    "        name = movie_names_dict[movid_id]\n",
    "    except :\n",
    "        name = 'unknown'\n",
    "    print('index : {}\\t id : {}\\t name : {}'.format(i,movid_id,name))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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