Rethinking Reinforcement Learning for Recommendation

Author:

Xin Xin1,Pimentel Tiago2,Karatzoglou Alexandros3,Ren Pengjie1,Christakopoulou Konstantina4,Ren Zhaochun1

Affiliation:

1. Shandong University, Qingdao City, China

2. University of Cambridge, Cambridge, United Kingdom

3. Google Research, London, United Kingdom

4. Google, Mountain View, CA, USA

Funder

National Key R\&D Program of China

Tencent WeChat Rhino-Bird Focused Research Program

Natural Science Foundation of Shandong Province

Fundamental Research Funds of Shandong University

Key Scientific and Technological Innovation Program of Shandong Province

Natural Science Foundation of China

Shandong University multidisciplinary research and innovation team of young scholars

Publisher

ACM

Reference47 articles.

1. M Mehdi Afsar Trafford Crump and Behrouz Far. 2021. Reinforcement learning based recommender systems: A survey. arXiv preprint arXiv:2101.06286. M Mehdi Afsar Trafford Crump and Behrouz Far. 2021. Reinforcement learning based recommender systems: A survey. arXiv preprint arXiv:2101.06286.

2. Sanjeev Arora , Rong Ge , Yingyu Liang , Tengyu Ma , and Yi Zhang . 2017 . Generalization and equilibrium in generative adversarial nets (gans) . In International Conference on Machine Learning. PMLR, 224--232 . Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, and Yi Zhang. 2017. Generalization and equilibrium in generative adversarial nets (gans). In International Conference on Machine Learning. PMLR, 224--232.

3. Jimmy Lei Ba , Jamie Ryan Kiros, and Geoffrey E Hinton . 2016 . Layer normalization. arXiv preprint arXiv:1607.06450. Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450.

4. Richard Bellman . 1966 . Dynamic programming . Science , Vol. 153 , 3731, 34--37. Richard Bellman. 1966. Dynamic programming. Science, Vol. 153, 3731, 34--37.

5. Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang and Xiangnan He. 2020. Bias and debias in recommender system: A survey and future directions. arXiv preprint arXiv:2010.03240. Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang and Xiangnan He. 2020. Bias and debias in recommender system: A survey and future directions. arXiv preprint arXiv:2010.03240.

Cited by 9 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. A Social-aware Gaussian Pre-trained model for effective cold-start recommendation;Information Processing & Management;2024-03

2. MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation;ACM Transactions on Information Systems;2024-01-22

3. AutoTransfer: Instance Transfer for Cross-Domain Recommendations;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

4. Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

5. Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3