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Xin Xin — most-cited papers & profile · Recommender Systems
← authors
·
overview
Xin Xin
14
papers ·
303
citations ·
25
h-index
Beijing Institute of Technology · Pennsylvania State University · Shandong University · Angeles University Foundation · Zhejiang University
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Most-cited papers
Self-Supervised Reinforcement Learning for Recommender Systems
2020 · 211 citations
A Self-Correcting Sequential Recommender
2023 · 20 citations
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
2019 · 19 citations
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems
2023 · 19 citations
Content-Based Collaborative Generation for Recommender Systems
2024 · 7 citations
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective
2022 · 5 citations
ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing
2021 · 1 citations
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
2024 · 1 citations
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning
2021
Supervised Advantage Actor-Critic for Recommender Systems
2021
Learning Robust Sequential Recommenders through Confident Soft Labels
2023
Top co-authors
Alexandros Karatzoglou
· 5
Pengjie Ren
· 5
Zhaochun Ren
· 5
Ioannis Arapakis
· 4
Joemon M. Jose
· 3
Zhumin Chen
· 3
Jun Ma
· 2
Maarten de Rijke
· 2
Yidan Wang
· 2
Chenyang Wang
· 1
Dong Wang
· 1
Dusan Stamenkovic
· 1
Topics
Collaborative Filtering
Sequential & Session
Ranking & CTR
LLM-based
Fairness & Ethics
Graph-based
Two-Tower & Retrieval