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@tqtg tqtg released this 08 May 15:56
· 474 commits to master since this release

New models

  • Convolutional Matrix Factorization (ConvMF)
  • Collaborative Deep Ranking (CDR)
  • Visual Matrix Factorization (VMF)
  • Matrix Co-Factorization (MCF)
  • Social Bayesian Personalized Ranking (SBPR)
  • Social Recommendation (SoRec)

New built-in datasets

  • Netflix
  • Tradesy
  • Amazon Office
  • CiteULike
  • Epinions

New features and improvements

  • Support multimodal recommenders with new data module including TextModule, ImageModule, and GraphModule in data.
  • Reader support data filtering based on set of users/items and user/item threshold.
  • Models can access to user_text, user_image, user_graph, item_text, item_image, and item_graph through MultimodalTrainSet which is input of the fit() function.

Credits

Thanks to our 4 contributors (alphabetical) whose commits are featured in this release:

@binhtrantt @jyguo @saghiles @tqtg