Topic-guided conversational recommender in multiple domains

• Main Authors: LIAO, Lizi, TAKANOBU, Ryuichi, MA, Yunshan, YANG, Xun, HUANG, Minlie, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Task analysis; History; Databases; Industries; Human computer interaction; Data structures; Google; Databases and Information Systems; Graphics and Human Computer Interfaces; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/7650; https://ink.library.smu.edu.sg/context/sis_research/article/8653/viewcontent/09138776.pdf
• Institution: Singapore Management University

Conversational systems have recently attracted significant attention. Both the research community and industry believe that it will exert huge impact on human-computer interaction, and specifically, the IR/RecSys community has begun to explore Conversational Recommendation. In real-life scenarios, s...