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BARS: Towards Open Benchmarking for Recommender Systems



Jieming Zhu , Quanyu Dai , Liangcai Su , Rong Ma , Jinyang Liu , Guohao Cai , Xi Xiao , Rui Zhang

* Author's draft version. BARS benchmark available at https://openbenchmark.github.io 

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ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems



Guohao Cai , Jieming Zhu , Quanyu Dai , Zhenhua Dong , Xiuqiang He , Ruiming Tang , Rui Zhang

* Accepted by SIGIR 2022 

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Multi-Level Interaction Reranking with User Behavior History



Yunjia Xi , Weiwen Liu , Jieming Zhu , Xilong Zhao , Xinyi Dai , Ruiming Tang , Weinan Zhang , Rui Zhang , Yong Yu


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Contrastive Learning with Positive-Negative Frame Mask for Music Representation



Dong Yao , Zhou Zhao , Shengyu Zhang , Jieming Zhu , Yudong Zhu , Rui Zhang , Xiuqiang He

* Accepted by WWW2022 

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PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation



Yi Li , Jieming Zhu , Weiwen Liu , Liangcai Su , Guohao Cai , Qi Zhang , Ruiming Tang , Xi Xiao , Xiuqiang He

* Accepted by WWW 2022 

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QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback



Handong Ma , Jiawei Hou , Chenxu Zhu , Weinan Zhang , Ruiming Tang , Jincai Lai , Jieming Zhu , Xiuqiang He , Yong Yu

* accepted by Access 

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Cross-Batch Negative Sampling for Training Two-Tower Recommenders



Jinpeng Wang , Jieming Zhu , Xiuqiang He

* Paper accepted in SIGIR'2021 

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UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation



Kelong Mao , Jieming Zhu , Xi Xiao , Biao Lu , Zhaowei Wang , Xiuqiang He

* Paper accepted in CIKM'2021. Code available at: https://github.com/xue-pai/UltraGCN 

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