Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems-Reference-Cited by-同舟云学术

Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Zhang Qihua¹,Liu Junning²,Dai Yuzhuo¹,Qi Yiyan¹,Yuan Yifan¹,Zheng Kunlun²,Huang Fan¹,Tan Xianfeng²

Affiliation:

1. Tencent, Shenzhen, China

2. Tencent, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539040

Reference38 articles.

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

2. Hans-Georg Beyer and Hans-Paul Schwefel . 2002. Evolution strategies--a comprehensive introduction. Natural computing , Vol. 1 , 1 ( 2002 ), 3--52. Hans-Georg Beyer and Hans-Paul Schwefel. 2002. Evolution strategies--a comprehensive introduction. Natural computing, Vol. 1, 1 (2002), 3--52.

3. David Carmel , Elad Haramaty , Arnon Lazerson , and Liane Lewin-Eytan . 2020 . Multi-Objective Ranking Optimization for Product Search Using Stochastic Label Aggregation. In WWW 2020. 373--383. David Carmel, Elad Haramaty, Arnon Lazerson, and Liane Lewin-Eytan. 2020. Multi-Objective Ranking Optimization for Product Search Using Stochastic Label Aggregation. In WWW 2020. 373--383.

4. Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys. 191--198. Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys. 191--198.

5. Stephen Dankwa and Wenfeng Zheng. 2019. Twin-delayed DDPG: A deep reinforcement learning technique to model a continuous movement of an intelligent robot agent. In ICVISP. 1--5. Stephen Dankwa and Wenfeng Zheng. 2019. Twin-delayed DDPG: A deep reinforcement learning technique to model a continuous movement of an intelligent robot agent. In ICVISP. 1--5.

Cited by 24 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. Unsupervised Ranking Ensemble Model for Recommendation;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Modeling User Retention through Generative Flow Networks;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

5. Learning path recommendation with multi-behavior user modeling and cascading deep Q networks;Knowledge-Based Systems;2024-06