Reinforced target-driven conversational promotion

• Main Authors: DAO, Huy Quang, LIAO, Lizi, LE, Dung D., NIE, Yuxiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Conversational recommendations; Dialogue strategy; Gating mechanisms; Knowledge integrated; Long term planning; Recommendation methods; Reinforcement learnings; Target driven; Tuning method; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8581; https://ink.library.smu.edu.sg/context/sis_research/article/9584/viewcontent/Reinforced_target_driven_conversational_promotion.pdf
• Institution: Singapore Management University

The ability to proactively engage with users towards pitching products is highly desired for conversational assistants. However, existing conversational recommendation methods overemphasize on acquiring user preferences while ignore the strategic planning for nudging users towards accepting a design...