default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTransactions on Recommender Systems, Volume 4
Volume 4, Number 1, March 2026
- Lianyong Qi
, Shoujin Wang, Victor S. Sheng, Lina Yao:
Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems. 1:1-1:4 - Waqar Ali, Muhammad Ammad-ud-din, Xiangmin Zhou, Yan Zhang, Jie Shao:
Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits. 2:1-2:28 - Lei Sang, Weichen Fei, Yi Zhang, Yuee Huang, Yiwen Zhang:
Heterogeneous Adaptive Preference Learning for Recommendation. 3:1-3:25 - Aobo Xu, Ling Jian, Yue Yin, Na Zhang:
UISA: User Information Separating Architecture for Commodity Recommendation Policy with Deep Reinforcement Learning. 4:1-4:18 - Zixuan Wang, Pan Wang, Zhixin Sun, Lu Chen, Mengyi Fu, Minyao Liu, Ze Zhang:
A DQN-based Traffic Classification Method for Mobile Application Recommendation with Continual Learning. 5:1-5:21 - Jielin Jiang, Pengcheng Guo, Xiaolong Xu, Jintao Wu, Yan Cui:
Social Perception with Graph Attention Network for Recommendation. 6:1-6:21 - Yicheng Di, Hongjian Shi, Ruhui Ma, Honghao Gao, Yuan Liu, Weiyu Wang:
FedRL: A Reinforcement Learning Federated Recommender System for Efficient Communication Using Reinforcement Selector and Hypernet Generator. 7:1-7:31 - Aayush Singha Roy, Edoardo D'Amico, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley:
Don't Get Bored: Enhancing Scalability and Diversity in Session-Based Slate Recommendation. 8:1-8:24
- Elisabeth Fischer, Albin Zehe, Andreas Hotho, Daniel Schlör:
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. 9:1-9:39 - Liang He, Wujie Yan, Tingzhou Yi, Heli Sun:
Self-supervised Graph Neural Sequential Recommendation with Disentangling Long and Short-Term Interest. 10:1-10:25 - Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang:
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. 11:1-11:36 - Paula Gómez Duran, Axel Brando, Jordi Vitrià:
Solving the Contextual Pure Cold-Start Problem under Uncertainty. 12:1-12:27 - Fernando Diaz, Michael D. Ekstrand, Bhaskar Mitra:
Recall, Robustness, and Lexicographic Evaluation. 13:1-13:50 - Karl Krauth, Yixin Wang, Michael I. Jordan:
Breaking Feedback Loops in Recommender Systems with Causal Inference. 14:1-14:20 - Qingbo Zhang, Xiaochun Yang, Hao Chen, Bin Wang, Xiangmin Zhou:
Intention-sensitive Preference Learning Network for Personalized Session-based Recommendation. 15:1-15:23
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-26 00:51 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
