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20232026
most citedMSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems

8 citations · 12 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.IR2026

CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation

Yibiao Wei, Jie Zou, Pengfei Zhang +4

Generative recommendation frameworks typically represent items as discrete Semantic IDs (SIDs). While existing studies have sought to enhance SID construction by incorporating mult…

cs.IR2026

Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering

Xiao Ao, Jie Zou, Yibiao Wei +2

In community question answering (cQA) platforms like Stack Overflow, related question retrieval is recognized as a fundamental task that allows users to retrieve related questions…

cs.IR2026

Unleashing the Potential of Neighbors: Diffusion-based Latent Neighbor Generation for Session-based Recommendation

Yuhan Yang, Jie Zou, Guojia An +3

Session-based recommendation aims to predict the next item that anonymous users may be interested in, based on their current session interactions. Recent studies have demonstrated…

cs.IR2025★ 8 cited

MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems

Yibiao Wei, Jie Zou, Weikang Guo +3

Conversational Recommender Systems (CRSs) aim to provide personalized recommendations by interacting with users through conversations. Most existing studies of CRS focus on extract…

cs.IR2025

Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation

Guojia An, Jie Zou, Jiwei Wei +3

Conversational recommender systems aim to provide personalized recommendations by analyzing and utilizing contextual information related to dialogue. However, existing methods typi…