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Biao Li

Disentangled Causal Embedding With Contrastive Learning For Recommender System

Feb 08, 2023
Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai

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* Accepted by WWW'23

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Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective

Feb 06, 2023
Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai

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* To appear in WWW'23 (Industry Track)

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KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

Aug 23, 2022
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He

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* CIKM '22 Resource Paper. Dataset Webpage: https://kuairand.com

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Real-time Short Video Recommendation on Mobile Devices

Aug 20, 2022
Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang

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* Accepted by CIKM 2022, 10 pages

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CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System

Apr 04, 2022
Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang

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* 11 pages, 9 figures

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A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images

Feb 27, 2022
Junzheng Wu, Ruigang Fu, Qiang Liu, Weiping Ni, Kenan Cheng, Biao Li, Yuli Sun

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* arXiv admin note: text overlap with arXiv:2102.08041

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KuaiRec: A Fully-observed Dataset for Recommender Systems

Feb 22, 2022
Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

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* 11 pages, 7 figures

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LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm

Jan 29, 2022
Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang

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* 10 pages, 10 figures, to be published in Web Conference 2022 (WWW'22)

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