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Xin Xin

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How Graph Convolutions Amplify Popularity Bias for Recommendation?

May 24, 2023
Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He

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Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems

May 18, 2023
Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M Jose, Xin Xin

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Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment

May 09, 2023
Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose, Maarten de Rijke, Zhaochun Ren

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A Self-Correcting Sequential Recommender

Mar 04, 2023
Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren

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Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation

Dec 23, 2022
Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

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On the User Behavior Leakage from Recommender Exposure

Oct 16, 2022
Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren

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Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective

Jun 15, 2022
Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren

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GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation

May 20, 2022
Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu

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Supervised Advantage Actor-Critic for Recommender Systems

Nov 05, 2021
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

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Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning

Oct 28, 2021
Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas

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