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most citedImpression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach

2 citations · 2 across the 3 of their papers we have counts for

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cs.IR2023★ 2 cited

Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach

Dong Li, Divya Bhargavi, Vidya Sagar Ravipati

While recommender systems have significantly benefited from implicit feedback, they have often missed the nuances of multi-behavior interactions between users and items. Historical…

cs.MA2023

Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning

Jingqing Ruan, Xiaotian Hao, Dong Li +1

Multi-agent systems require effective coordination between groups and individuals to achieve common goals. However, current multi-agent reinforcement learning (MARL) methods primar…