Beta 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, andGraphModuleindata. Readersupport data filtering based onset of users/itemsanduser/item threshold.- Models can access to
user_text,user_image,user_graph,item_text,item_image, anditem_graphthroughMultimodalTrainSetwhich is input of thefit()function.
Credits
Thanks to our 4 contributors (alphabetical) whose commits are featured in this release: