Contrastive learning for representation degeneration problem in sequential recommendation
Recent advancements of sequential deep learning models such as Transformer and BERT
have significantly facilitated the sequential recommendation. However, according to our …
have significantly facilitated the sequential recommendation. However, according to our …
Self-supervised hypergraph convolutional networks for session-based recommendation
Session-based recommendation (SBR) focuses on next-item prediction at a certain time
point. As user profiles are generally not available in this scenario, capturing the user intent …
point. As user profiles are generally not available in this scenario, capturing the user intent …
Self-supervised multi-channel hypergraph convolutional network for social recommendation
Social relations are often used to improve recommendation quality when user-item
interaction data is sparse in recommender systems. Most existing social recommendation …
interaction data is sparse in recommender systems. Most existing social recommendation …
XSimGCL: Towards extremely simple graph contrastive learning for recommendation
Contrastive learning (CL) has recently been demonstrated critical in improving
recommendation performance. The underlying principle of CL-based recommendation …
recommendation performance. The underlying principle of CL-based recommendation …
Self-supervised graph co-training for session-based recommendation
Session-based recommendation targets next-item prediction by exploiting user behaviors
within a short time period. Compared with other recommendation paradigms, session-based …
within a short time period. Compared with other recommendation paradigms, session-based …