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
, andGraphModule
indata
. Reader
support data filtering based onset of users/items
anduser/item threshold
.- Models can access to
user_text
,user_image
,user_graph
,item_text
,item_image
, anditem_graph
throughMultimodalTrainSet
which is input of thefit()
function.
Credits
Thanks to our 4 contributors (alphabetical) whose commits are featured in this release: