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A Review-aware Graph Contrastive Learning Framework for Recommendation


May 04, 2022
Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li

* Accepted by SIGIR 2022 

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Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering


Apr 27, 2022
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu

* To appear in SIGIR 2022 

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ProFairRec: Provider Fairness-aware News Recommendation


Apr 10, 2022
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie

* SIGIR 2022 

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LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching


Aug 06, 2021
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang

* Accpeted by IEEE Transactions on Neural Networks and Learning Systems 

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Privileged Graph Distillation for Cold Start Recommendation


May 31, 2021
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang

* 10 pages,5 figures 

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Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation


May 26, 2021
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang

* The paper is accepted by SIGIR 2021 

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A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation


Apr 27, 2021
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

* In submission 

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Learning Fair Representations for Bipartite Graph based Recommendation


Feb 22, 2021
Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang

* The paper is accepted by WWW 2021 

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