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Weiwen Liu — most-cited papers & profile · Recommender Systems
← authors
·
overview
Weiwen Liu
29
papers ·
139
citations ·
29
h-index
Fuyang Normal University · Tianjin University · Shanghai Jiao Tong University · General Administration of Quality Supervision, Inspection and Quarantine · Ningbo Product Quality Supervision and Inspection Institute
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Most-cited papers
Personalizing Fairness-aware Re-ranking
2018 · 40 citations
A Survey on User Behavior Modeling in Recommender Systems
2023 · 19 citations
Multi-Level Interaction Reranking with User Behavior History
2022 · 17 citations
Neural Re-ranking in Multi-stage Recommender Systems: A Review
2022 · 14 citations
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
2022 · 12 citations
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
2024 · 10 citations
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
2023 · 7 citations
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
2020 · 6 citations
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
2021 · 5 citations
Context-aware Reranking with Utility Maximization for Recommendation
2021 · 4 citations
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
2024 · 2 citations
Wasserstein Collaborative Filtering for Item Cold-start Recommendation
2019 · 1 citations
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
2024
Prompt Tuning as User Inherent Profile Inference Machine
2024
PMD: An Optimal Transportation-based User Distance for Recommender Systems
2019
Top co-authors
Ruiming Tang
· 15
Weinan Zhang
· 9
Yunjia Xi
· 8
Jianghao Lin
· 4
Jiarui Qin
· 4
Yong Yu
· 4
Guangyong Chen
· 3
Huifeng Guo
· 3
Jieming Zhu
· 3
Rui Zhang
· 3
Xinyi Dai
· 3
Benben Liao
· 2
Topics
Ranking & CTR
LLM-based
Collaborative Filtering
Sequential & Session
Cold Start & Cross-Domain
Fairness & Ethics
Graph-based
Two-Tower & Retrieval