13 citations · 54 across the 8 of their papers we have counts for
4 papers · 1 filter
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Mengyuan Jing, Yanmin Zhu, Tianzi Zang +1
Deep learning-based recommender systems have achieved remarkable success in recent years. However, these methods usually heavily rely on labeled data (i.e., user-item interactions)…
Deep Meta-learning in Recommendation Systems: A Survey
Chunyang Wang, Yanmin Zhu, Haobing Liu +3
Deep neural network based recommendation systems have achieved great success as information filtering techniques in recent years. However, since model training from scratch require…
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
Tianzi Zang, Yanmin Zhu, Haobing Liu +2
Traditional recommendation systems are faced with two long-standing obstacles, namely, data sparsity and cold-start problems, which promote the emergence and development of Cross-D…
Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation
Jing Zhu, Yanan Xu, Yanmin Zhu
The aim of session-based recommendation is to predict the users' next clicked item, which is a challenging task due to the inherent uncertainty in user behaviors and anonymous impl…