Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy-Reference-Cited by-同舟云学术

Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy

Published:2024-07-10 Issue: Volume:56 Page:1850-1860
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhang Changshuo¹^ORCID,Chen Sirui²^ORCID,Zhang Xiao¹^ORCID,Dai Sunhao¹^ORCID,Yu Weijie³^ORCID,Xu Jun¹^ORCID

Affiliation:

1. Gaoling School of AI, Renmin University of China, Beijing, China

2. University of Illinois at Urbana-Champaign, Champaign, USA

3. School of Information Technology and Management, University of International Business and Economics, Beijing, China

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657714

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5. Top-K Off-Policy Correction for a REINFORCE Recommender System