Description

Most of the currently supported models in cornac are categorized as general recommenders. Recently, sequential recommendations have gained more and more attention (e.g., the most popular topic in RecSys'23). It would be nice if cornac extends to adopt some more recommendation tasks, especially sequential/session-based recommendation (next item(s), next-basket).

Expected behavior with the suggested feature

• Add generic data pipeline (i.e., parser, eval_method, evaluation) for next-basket, next-itemS, and next-item recommendations.
• Add some fundamental and popular models (e.g., RNN, GRU4Rec).
• Adopt general recommender models to sequential context, for example:
  • kNN: nearest items to current session's items
  • BPR: aggregated current session's items (e.g., avg, weighted) as "user" representation