Conversational Product Search Based on Negative Feedback

Author:

Bi Keping1,Ai Qingyao1,Zhang Yongfeng2,Croft W. Bruce1

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

2. Rutgers University, Piscataway, NJ, USA

Funder

National Science Foundation

Publisher

ACM

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1. Why Not Together? A Multiple-Round Recommender System for Queries and Items;Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1;2025-07-20

2. Towards Explainable Search Results in E-commerce;Companion Proceedings of the ACM on Web Conference 2025;2025-05-08

3. An actor-critic based recommender system with context-aware user modeling;Artificial Intelligence Review;2025-02-19

4. Simulating Conversational Search Users with Parameterized Behavior;Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region;2024-12-08

5. Ask or Recommend: An Empirical Study on Conversational Product Search;Proceedings of the 33rd ACM International Conference on Information and Knowledge Management;2024-10-21

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