Leveraging long short-term user preference in conversational recommendation via multi-agent reinforcement learning

Conversational recommender systems (CRS) endow traditional recommender systems with the capability of dynamically obtaining users’ short-term preferences for items and attributes through interactive dialogues. There are three core challenges for CRS, including the intelligent decisions for what attr...

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Bibliographic Details
Main Authors: DENG, Yang, LI, Yaliang, DING, Bolin, LAM, Wai
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/9088
https://ink.library.smu.edu.sg/context/sis_research/article/10091/viewcontent/09964317.pdf
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Institution: Singapore Management University
Language: English

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