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Showing below up to 50 results in range #1 to #50.

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  1. (hist) ‎List of recommender system dissertations ‎[21,336 bytes]
  2. (hist) ‎Alphabet ‎[11,185 bytes]
  3. (hist) ‎Amazon ‎[10,470 bytes]
  4. (hist) ‎Common Recommender REST API ‎[9,507 bytes]
  5. (hist) ‎Quantitative user experiments or field trials ‎[8,943 bytes]
  6. (hist) ‎Meta ‎[7,287 bytes]
  7. (hist) ‎TagRec ‎[7,226 bytes]
  8. (hist) ‎Empire 2013 ‎[6,483 bytes]
  9. (hist) ‎Standardization of user-centric evaluation ‎[6,258 bytes]
  10. (hist) ‎Empire 2014 ‎[6,250 bytes]
  11. (hist) ‎Beyond Algorithms: An HCI Perspective on Recommender Systems ‎[6,019 bytes]
  12. (hist) ‎Main Page ‎[5,128 bytes]
  13. (hist) ‎Subjective evaluation measures ‎[4,954 bytes]
  14. (hist) ‎List of RecSys-relevant Conferences ‎[4,888 bytes]
  15. (hist) ‎2013 ECML PKDD Discovery Challenge 2013 - Recommending Given Names ‎[4,251 bytes]
  16. (hist) ‎RecDB ‎[4,093 bytes]
  17. (hist) ‎Movietweetings ‎[3,868 bytes]
  18. (hist) ‎MovieLens 10M Details ‎[3,868 bytes]
  19. (hist) ‎WWW 2013 ‎[3,781 bytes]
  20. (hist) ‎2010 Challenge on Context-aware Movie Recommendation ‎[3,494 bytes]
  21. (hist) ‎2013 Conference on User Modeling, Adaptation and Personalization ‎[3,256 bytes]
  22. (hist) ‎Womrad ‎[3,148 bytes]
  23. (hist) ‎MovieLens 100k benchmark results ‎[3,072 bytes]
  24. (hist) ‎MyMediaLite ‎[3,025 bytes]
  25. (hist) ‎MovieLens ‎[2,831 bytes]
  26. (hist) ‎MyMediaLite/Workshop projects ‎[2,732 bytes]
  27. (hist) ‎KDD 2011 ‎[2,713 bytes]
  28. (hist) ‎Alibaba ‎[2,648 bytes]
  29. (hist) ‎SVD++ ‎[2,591 bytes]
  30. (hist) ‎Million Song Dataset Challenge ‎[2,399 bytes]
  31. (hist) ‎LightFM ‎[2,357 bytes]
  32. (hist) ‎Feature-based matrix factorization ‎[2,344 bytes]
  33. (hist) ‎ACM Recommender Systems 2012 ‎[2,309 bytes]
  34. (hist) ‎SVDFeature ‎[2,297 bytes]
  35. (hist) ‎KDD 2012 ‎[2,153 bytes]
  36. (hist) ‎Recommender Stammtisch ‎[2,106 bytes]
  37. (hist) ‎Mrec ‎[2,053 bytes]
  38. (hist) ‎RankSys ‎[2,042 bytes]
  39. (hist) ‎Summary of Matrix Factorization Tricks ‎[2,039 bytes]
  40. (hist) ‎Simplifying user-centric evaluation ‎[2,025 bytes]
  41. (hist) ‎Zalando ‎[2,011 bytes]
  42. (hist) ‎Open positions at Nokia 2013 ‎[1,976 bytes]
  43. (hist) ‎Crab ‎[1,956 bytes]
  44. (hist) ‎MovieLens 1M Details ‎[1,933 bytes]
  45. (hist) ‎List of recommender system blogs ‎[1,926 bytes]
  46. (hist) ‎Easyrec ‎[1,869 bytes]
  47. (hist) ‎Open positions at Comcast 2013 ‎[1,852 bytes]
  48. (hist) ‎Context-aware recommendation ‎[1,852 bytes]
  49. (hist) ‎RecLab Prize On Overstock.com ‎[1,748 bytes]
  50. (hist) ‎LDOS Comoda ‎[1,740 bytes]

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