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

• Main Authors: DENG, Yang, LI, Yaliang, DING, Bolin, LAM, Wai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Conversational recommender system; multi-agent reinforcement learning; graph representation learning; Databases and Information Systems
• 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
• Institution: Singapore Management University

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...