Multi-view hypergraph contrastive policy learning for conversational recommendation

Multi-view hypergraph contrastive policy learning for conversational recommendation

Conversational recommendation systems (CRS) aim to interactively acquire user preferences and accordingly recommend items to users. Accurately learning the dynamic user preferences is of crucial importance for CRS. Previous works learn the user preferences with pairwise relations from the interactiv...

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Bibliographic Details
Main Authors: ZHAO, Sen, WEI, Wei, MAO, Xian-Ling, ZHU, Shuai: YANG, WEN, Zujie, CHEN, Dangyang, ZHU, Feida
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Conversational recommendation
Reinforcement learning
Graph representation learning
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/8608
https://ink.library.smu.edu.sg/context/sis_research/article/9611/viewcontent/Multi_view_Hypergraph_Contrastive_Policy_Learning_for_Conversational_Recommendation.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8608
https://ink.library.smu.edu.sg/context/sis_research/article/9611/viewcontent/Multi_view_Hypergraph_Contrastive_Policy_Learning_for_Conversational_Recommendation.pdf

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