2 papers
cs.IR2026
RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation
Kairui Fu, Changfa Wu, Kun Yuan +8
Generative retrieval (GR) has emerged as a promising paradigm in recommendation systems by autoregressively decoding identifiers of target items. Despite its potential, current app…
cs.IR2026
PI2I: A Personalized Item-Based Collaborative Filtering Retrieval Framework
Shaoqing Wang, Yingcai Ma, Kairui Fu +4
Efficiently selecting relevant content from vast candidate pools is a critical challenge in modern recommender systems. Traditional methods, such as item-to-item collaborative filt…