makgyver/rectorch: rectorch v0.0.9-beta.0

In this second rectorch release we added two new methods.

Name Description Ref. ADMM_Slim ADMM SLIM: Sparse Recommendations for Many Users [1] SVAE Sequential Variational Autoencoders for Collaborative Filtering [2]

We also added/changed the following functionalities:

• metrics: MRR, Hit;
• evaluation: one_plus_random, ValidFunc;
• models: removed the validate method;
• data: added method load_data_ad_dict to DataReader.

References

<a id="1">[1]</a> Harald Steck, Maria Dimakopoulou, Nickolai Riabov, and Tony Jebara. 2020. ADMM SLIM: Sparse Recommendations for Many Users. In Proceedings of the 13th International Conference on Web Search and Data Mining (WSDM '20). Association for Computing Machinery, New York, NY, USA, 555–563. DOI: https://doi.org/10.1145/3336191.3371774

<a id="2">[2]</a> Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, and Vikram Pudi. 2019. Sequential Variational Autoencoders for Collaborative Filtering. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM '19). Association for Computing Machinery, New York, NY, USA, 600–608. DOI: https://doi.org/10.1145/3289600.3291007