Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Author:
Affiliation:
1. The Chinese University of Hong Kong, SHATIN NT, Hong Kong
2. Alibaba Group, Bellevue, WA, USA
3. Alibaba Group, Beijing, China
Funder
Research Grant Council of Hong Kong Special Administrative Region, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3404835.3462913
Reference51 articles.
1. On the role of dynamic programming in statistical communication theory
2. Towards Conversational Recommender Systems
3. Advances and challenges in conversational recommender systems: A survey
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