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  1. RecommenderAPI for Drupal‏‎ (1 revision)
  2. MovieLens 100k Details‏‎ (1 revision)
  3. Marko Tkalčič‏‎ (1 revision)
  4. Regularization‏‎ (1 revision)
  5. Harry Potter effect‏‎ (1 revision)
  6. Crowd-powered recommendation for continuous digital media access and exchange in social networks‏‎ (1 revision)
  7. Yelp Business Rating Prediction‏‎ (1 revision)
  8. KNN‏‎ (1 revision)
  9. Tf-idf‏‎ (1 revision)
  10. Knewton‏‎ (1 revision)
  11. RecSys 2015‏‎ (1 revision)
  12. NVidia‏‎ (1 revision)
  13. ASOS‏‎ (1 revision)
  14. RiVal‏‎ (1 revision)
  15. Till Plumbaum‏‎ (1 revision)
  16. WebDemocracia‏‎ (1 revision)
  17. Content-based filtering‏‎ (1 revision)
  18. Open Recommendation Platform‏‎ (1 revision)
  19. Joost de Wit‏‎ (1 revision)
  20. ZDF‏‎ (1 revision)
  21. Manipulation of recommender systems‏‎ (1 revision)
  22. User Modeling and User-Adapted Interaction‏‎ (1 revision)
  23. Research paper recommendation‏‎ (1 revision)
  24. Supervised learning‏‎ (1 revision)
  25. Ruby on Rails‏‎ (2 revisions)
  26. Predicting movie ratings and recommender systems‏‎ (2 revisions)
  27. Andrej Kosir‏‎ (2 revisions)
  28. LightFM‏‎ (2 revisions)
  29. Hulu‏‎ (2 revisions)
  30. Expectation-Maximization‏‎ (2 revisions)
  31. LinkedIn‏‎ (2 revisions)
  32. Educational recommender systems‏‎ (2 revisions)
  33. Recommender Systems in the Social Web: Heterogeneity and Time Dimension‏‎ (2 revisions)
  34. Practical Recommender Systems‏‎ (2 revisions)
  35. MovieLens 1M Details‏‎ (2 revisions)
  36. Recommender system‏‎ (2 revisions)
  37. Music recommendation‏‎ (2 revisions)
  38. Daniel Tunkelang‏‎ (2 revisions)
  39. UMAP‏‎ (2 revisions)
  40. LibRec‏‎ (2 revisions)
  41. Collaborative Filtering Recommender Systems‏‎ (2 revisions)
  42. Semantic Recommendations based on Large Unstructured Datasets‏‎ (2 revisions)
  43. Zalando‏‎ (2 revisions)
  44. Moviepilot‏‎ (2 revisions)
  45. KDD Cup 2007‏‎ (2 revisions)
  46. Simplifying user-centric evaluation‏‎ (2 revisions)
  47. Tag‏‎ (2 revisions)
  48. RSSE‏‎ (2 revisions)
  49. Netflix‏‎ (2 revisions)
  50. Summary of Matrix Factorization Tricks‏‎ (2 revisions)

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