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Showing below up to 100 results in range #1 to #100.

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  1. (hist) ‎RecSys 2015 ‎[43 bytes]
  2. (hist) ‎Tag ‎[90 bytes]
  3. (hist) ‎Julia Hoxha ‎[136 bytes]
  4. (hist) ‎Explicit feedback ‎[170 bytes]
  5. (hist) ‎Joost de Wit ‎[183 bytes]
  6. (hist) ‎ZDF ‎[184 bytes]
  7. (hist) ‎Hybrid recommender ‎[186 bytes]
  8. (hist) ‎Recommender Meetup Amsterdam ‎[205 bytes]
  9. (hist) ‎Alan Said ‎[228 bytes]
  10. (hist) ‎Marko Tkalčič ‎[234 bytes]
  11. (hist) ‎Open positions at Netflix 2012 ‎[237 bytes]
  12. (hist) ‎Hulu ‎[242 bytes]
  13. (hist) ‎LinkedIn ‎[247 bytes]
  14. (hist) ‎Ratings ‎[248 bytes]
  15. (hist) ‎Yelp Business Rating Prediction ‎[256 bytes]
  16. (hist) ‎Tf-idf ‎[263 bytes]
  17. (hist) ‎Yue Shi ‎[263 bytes]
  18. (hist) ‎NVidia ‎[264 bytes]
  19. (hist) ‎Till Plumbaum ‎[268 bytes]
  20. (hist) ‎Content-based filtering ‎[277 bytes]
  21. (hist) ‎European Conference on Information Retrieval ‎[289 bytes]
  22. (hist) ‎Manipulation of recommender systems ‎[298 bytes]
  23. (hist) ‎Research paper recommendation ‎[301 bytes]
  24. (hist) ‎Maria Augusta Silveira Netto Nunes ‎[302 bytes]
  25. (hist) ‎Òscar Celma ‎[307 bytes]
  26. (hist) ‎Predicting movie ratings and recommender systems ‎[308 bytes]
  27. (hist) ‎Open positions at Otto Group 2012 ‎[322 bytes]
  28. (hist) ‎Expectation-Maximization ‎[323 bytes]
  29. (hist) ‎ACM Recommender Systems 2009 ‎[327 bytes]
  30. (hist) ‎Recommender system ‎[327 bytes]
  31. (hist) ‎Zeno Gantner ‎[327 bytes]
  32. (hist) ‎Knewton ‎[328 bytes]
  33. (hist) ‎Knowledge & Data Engineering ‎[338 bytes]
  34. (hist) ‎RSSE ‎[338 bytes]
  35. (hist) ‎BibSonomy ‎[342 bytes]
  36. (hist) ‎IJCAI 2011 ‎[346 bytes]
  37. (hist) ‎Tatarnikov Alexander (diezelsun) ‎[353 bytes]
  38. (hist) ‎Case-based reasoning ‎[355 bytes]
  39. (hist) ‎Mean absolute error ‎[365 bytes]
  40. (hist) ‎Supervised learning ‎[369 bytes]
  41. (hist) ‎RecommenderAPI for Drupal ‎[369 bytes]
  42. (hist) ‎Andrej Kosir ‎[371 bytes]
  43. (hist) ‎FolkRank ‎[372 bytes]
  44. (hist) ‎Flixster ‎[375 bytes]
  45. (hist) ‎Educational recommender systems ‎[377 bytes]
  46. (hist) ‎Root mean square error ‎[379 bytes]
  47. (hist) ‎Daniel Tunkelang ‎[380 bytes]
  48. (hist) ‎LibRec ‎[394 bytes]
  49. (hist) ‎ACM Recommender Systems 2015 ‎[396 bytes]
  50. (hist) ‎Netflix ‎[396 bytes]
  51. (hist) ‎34th European Conference on Information Retrieval ‎[401 bytes]
  52. (hist) ‎Open Recommendation Platform ‎[401 bytes]
  53. (hist) ‎Collaborative filtering ‎[402 bytes]
  54. (hist) ‎Similarity measure ‎[415 bytes]
  55. (hist) ‎Recommender Systems in E-Learning Settings ‎[423 bytes]
  56. (hist) ‎RecSys-frontend ‎[427 bytes]
  57. (hist) ‎ACM Recommender Systems 2010 ‎[428 bytes]
  58. (hist) ‎Cosine similarity ‎[430 bytes]
  59. (hist) ‎Top-N recommendation ‎[430 bytes]
  60. (hist) ‎13th ACM Conference on Ubiquitous Computing ‎[432 bytes]
  61. (hist) ‎GroupLens Research ‎[443 bytes]
  62. (hist) ‎Filmaster API ‎[447 bytes]
  63. (hist) ‎European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ‎[450 bytes]
  64. (hist) ‎Personalized Music Retrieval ‎[458 bytes]
  65. (hist) ‎Educational Recommender Systems and Technologies: Practices and Challenges ‎[467 bytes]
  66. (hist) ‎ASOS ‎[483 bytes]
  67. (hist) ‎To Do List ‎[486 bytes]
  68. (hist) ‎Million Song Dataset ‎[488 bytes]
  69. (hist) ‎2012 International Conference on Intelligent User Interfaces ‎[489 bytes]
  70. (hist) ‎Michael Ekstrand ‎[490 bytes]
  71. (hist) ‎Formative evaluation ‎[491 bytes]
  72. (hist) ‎Test.fm ‎[492 bytes]
  73. (hist) ‎Recommender Systems: An Introduction ‎[503 bytes]
  74. (hist) ‎Regularization ‎[503 bytes]
  75. (hist) ‎ACM Recommender Systems 2013 ‎[511 bytes]
  76. (hist) ‎2011 Challenge on Context-aware Movie Recommendation ‎[522 bytes]
  77. (hist) ‎UCERSTI ‎[526 bytes]
  78. (hist) ‎Delicious ‎[527 bytes]
  79. (hist) ‎UMAP ‎[533 bytes]
  80. (hist) ‎Social filtering ‎[544 bytes]
  81. (hist) ‎Moviepilot ‎[561 bytes]
  82. (hist) ‎ACM Recommender Systems 2014 ‎[574 bytes]
  83. (hist) ‎WebDemocracia ‎[577 bytes]
  84. (hist) ‎Apple ‎[579 bytes]
  85. (hist) ‎Rs4vlc ‎[585 bytes]
  86. (hist) ‎Qualitative user-studies ‎[586 bytes]
  87. (hist) ‎User Modeling and User-Adapted Interaction ‎[587 bytes]
  88. (hist) ‎Gradient descent ‎[589 bytes]
  89. (hist) ‎Precision and recall ‎[590 bytes]
  90. (hist) ‎Ruby on Rails ‎[600 bytes]
  91. (hist) ‎Pearson correlation ‎[601 bytes]
  92. (hist) ‎SnoopyTagging ‎[601 bytes]
  93. (hist) ‎Filmaster ‎[603 bytes]
  94. (hist) ‎ADeNu ‎[610 bytes]
  95. (hist) ‎Weevis ‎[612 bytes]
  96. (hist) ‎MyMediaLite/Dice and Tyversky ‎[621 bytes]
  97. (hist) ‎Collaborative Filtering Recommender Systems ‎[647 bytes]
  98. (hist) ‎KDD Cup 2007 ‎[648 bytes]
  99. (hist) ‎Plista Contest ‎[650 bytes]
  100. (hist) ‎Neal Lathia ‎[652 bytes]

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