Efficient Interactive Recommendation via Huffman Tree-based Policy Learning

Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang, Shijian Li. Efficient Interactive Recommendation via Huffman Tree-based Policy Learning. In Noa Agmon, Bo An 0001, Alessandro Ricci, William Yeoh 0001, editors, Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, London, United Kingdom, 29 May 2023 - 2 June 2023. pages 1495-1503, ACM, 2023. [doi]

Abstract

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