2 papers
cs.IR2026
Multi Interests for Joint Search-Recommendation Modeling
Xiangchen Pan, Wei Wei, Huakang Niu +1
Search and recommendation are crucial for understanding user preferences. More and more studies are attempting to jointly model search behavior and recommendation behavior, by inte…
cs.IR2025
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
Yiqun Chen, Jiaxin Mao, Yi Zhang +7
Search result diversification (SRD), which aims to ensure that documents in a ranking list cover a broad range of subtopics, is a significant and widely studied problem in Informat…