Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Author:

Deng Yang1,Li Yaliang2,Sun Fei3,Ding Bolin2,Lam Wai1

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

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1. Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling;ACM Transactions on Information Systems;2024-07-12

2. An Empirical Analysis on Multi-turn Conversational Recommender Systems;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Towards Human-centered Proactive Conversational Agents;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

5. When large language models meet personalization: perspectives of challenges and opportunities;World Wide Web;2024-06-28

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