[FEATURE] Add next-item recommendation models

[lthoang]

Description

Expected behavior with the suggested feature

• [ ] ContraRec: "Sequential Recommendation with Multiple Contrast Signals" Wang et al., TOIS'2022.
• [ ] Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
• [ ] Basket-Sensitive Personalized Item Recommendation
• [ ] Next-item recommendation with sequential hypergraphs
• [ ] A simple convolutional generative network for next item recommendation
• [ ] Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors
• [ ] Attention-based transactional context embedding for next-item recommendation
• [ ] Next-item recommendation via collaborative filtering with bidirectional item similarity
• [ ] Next item recommendation with self-attentive metric learning
• [ ] Next-item recommendations in short sessions
• [ ] Attentive sequential models of latent intent for next item recommendation
• [ ] Learning a hierarchical intent model for next-item recommendation
• [ ] Sequential modeling of hierarchical user intention and preference for next-item recommendation
• [ ] A lightweight transformer for next-item product recommendation
• [ ] Lighter and better: low-rank decomposed self-attention networks for next-item recommendation
• [ ] Dynamic multi-behavior sequence modeling for next item recommendation
• [ ] DynamicRec: a dynamic convolutional network for next item recommendation
• [ ] Online personalized next-item recommendation via long short term preference learning
• [ ] Transformers4rec: Bridging the gap between nlp and sequential/session-based recommendation
• [ ] Session-based recommendation with graph neural networks
• [ ] Repeatnet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation
• [ ] Sequential Recommender System based on Hierarchical Attention Network
• [ ] Buy It Again: Modeling Repeat Purchase Recommendations
• [ ] Personalized Category Frequency prediction for Buy It Again recommendations
• [ ] SHARE: Session-based Recommendation with Hypergraph Attention Networks
• [ ] Multi-behavior hypergraph-enhanced transformer for sequential recommendation

Other Comments

[tqtg]

It's a comprehensive list of models. To implement all of them is a tremendous amount of efforts. Do we have any criteria to prioritize them?