10 citations · 16 across the 8 of their papers we have counts for
4 papers · 1 filter
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation
Shu Chen, Jinwei Luo, Weike Pan +3
Sequential recommendation leverages interaction sequences to predict forthcoming user behaviors, crucial for crafting personalized recommendations. However, the true preferences of…
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
Weixin Li, Yuhao Wu, Yang Liu +2
In real recommendation scenarios, users often have different types of behaviors, such as clicking and buying. Existing research methods show that it is possible to capture the hete…
Privacy-Preserving Cross-Domain Sequential Recommendation
Zhaohao Lin, Weike Pan, Zhong Ming
Cross-domain sequential recommendation is an important development direction of recommender systems. It combines the characteristics of sequential recommender systems and cross-dom…
A Survey on Cross-Domain Sequential Recommendation
Shu Chen, Zitao Xu, Weike Pan +2
Cross-domain sequential recommendation (CDSR) shifts the modeling of user preferences from flat to stereoscopic by integrating and learning interaction information from multiple do…