Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference
Author:
Affiliation:
1. School of Computer Science, Sichuan University, Chengdu, China
Funder
National Natural Science Foundation of China major projects under grant numbers
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3511808.3557482
Reference32 articles.
1. Conversational Product Search Based on Negative Feedback
2. Vulcont: A recommender system based on context history ontology
3. Q&R
4. Towards Conversational Recommender Systems
5. Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. 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
2. Graph-based dynamic attribute clipping for conversational recommendation;Discover Computing;2024-05-10
3. Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18
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