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

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

9 August 2022

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

19 / 19 papers shown

Title
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems Yang Cao Changhao Zhang Xiaoshuang Chen Kaiqiao Zhan Ben Wang 26 0 0 08 Apr 2025
Joint Modeling in Recommendations: A Survey Xiangyu Zhao Yichao Wang Bo Chen Jingtong Gao Yuhao Wang Xiaopeng Li Pengyue Jia Qiang Liu Huifeng Guo Ruiming Tang 39 0 0 28 Feb 2025
Vague Preference Policy Learning for Conversational Recommendation Gangyi Zhang Chongming Gao Wenqiang Lei Xiaojie Guo Shijun Li Hongshen Chen Zhuozhi Ding Sulong Xu Lingfei Wu 73 1 0 24 Feb 2025
Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in Feed Jingxin Liu Xiang Gao Yisha Li Xin Li Haiyang Lu Ben Wang OffRL 72 0 0 28 Nov 2024
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems Peng Liu Jiawei Zhu Cong Xu Ming Zhao Bin Wang 31 1 0 18 Sep 2024
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction Yi Wu Daryl Chang Jennifer She Zhe Zhao Li Wei Lukasz Heldt 25 0 0 12 Aug 2024
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation Xin Ma Mingyue Li Xuguang Liu OffRL 33 0 0 10 Jul 2024
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems Peng Liu Nian Wang Cong Xu Min Zhao Bin Wang Yi Ren 128 0 0 21 May 2024
Multi-Objective Recommendation via Multivariate Policy Learning Olivier Jeunen Jatin Mandav Ivan Potapov Nakul Agarwal Sourabh Vaid Wenzhe Shi Aleksei Ustimenko OffRL 16 3 0 03 May 2024
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents Chen Gong Kecen Li Jin Yao Tianhao Wang OnRL 36 0 0 18 Apr 2024
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning Aleksandr V. Petrov Craig MacDonald 31 1 0 07 Mar 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems Yuanqing Yu Chongming Gao Jiawei Chen Heng Tang Yuefeng Sun Qian Chen Weizhi Ma Min Zhang OffRL 37 2 0 23 Feb 2024
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems Zhenghai Xue Qingpeng Cai Tianyou Zuo Bin Yang Lantao Hu Peng Jiang Kun Gai 30 1 0 06 Oct 2023
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation Ziru Liu Kecheng Chen Fengyi Song Bo Chen Xiangyu Zhao Huifeng Guo Ruiming Tang 18 3 0 14 Aug 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems Pan Li Yuyan Wang Ed H. Chi Minmin Chen 16 2 0 02 Jun 2023
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems Xiong-Hui Chen Bowei He Yangze Yu Qingyang Li Zhiwei Qin Wenjie Shang Jieping Ye Chen-li Ma OffRL 31 11 0 03 May 2023
Multi-Task Recommendations with Reinforcement Learning Ziru Liu Jiejie Tian Qingpeng Cai Xiangyu Zhao Jingtong Gao ... Da Chen Tonghao He Dong Zheng Peng Jiang Kun Gai 36 41 0 07 Feb 2023
Reinforcing User Retention in a Billion Scale Short Video Recommender System Qingpeng Cai Shuchang Liu Xueliang Wang Tianyou Zuo Wentao Xie Bin Yang Dong Zheng Peng Jiang Kun Gai OffRL 24 41 0 03 Feb 2023
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement Wanqi Xue Qingpeng Cai Zhenghai Xue Shuo Sun Shuchang Liu Dong Zheng Peng Jiang Kun Gai Bo An OffRL 36 25 0 06 Dec 2022