6 citations · 6 across the 4 of their papers we have counts for
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cs.IR2022
Modeling Complex Dependencies for Session-based Recommendations via Graph Neural Networks
Qian Zhang, Wenpeng Lu
Session-based recommendations (SBRs) capture items' dependencies from the sessions to recommend the next item. In recent years, Graph neural networks (GNN) based SBRs have become t…
cs.IR2021
Aspect-driven User Preference and News Representation Learning for News Recommendation
Rongyao Wang, Wenpeng Lu, Shoujin Wang +3
News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news. Most of existing news recommend…
cs.IR2021
Causality-Aware Neighborhood Methods for Recommender Systems
Masahiro Sato, Sho Takemori, Janmajay Singh +1
The business objectives of recommenders, such as increasing sales, are aligned with the causal effect of recommendations. Previous recommenders targeting for the causal effect empl…