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Optimizing Feature Set for Click-Through Rate Prediction


Jan 26, 2023
Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

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* Accepted by WWW 2023 Research Tracks 

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DIWIFT: Discovering Instance-wise Influential Features for Tabular Data


Jul 06, 2022
Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He

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A Graph-Enhanced Click Model for Web Search


Jun 17, 2022
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu

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* 10 pages; Accepted by SIGIR 2021 

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Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms


Jun 12, 2022
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

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


Apr 24, 2022
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang

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* Accepted by SIGIR 2022 

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Contrastive Learning with Positive-Negative Frame Mask for Music Representation


Apr 03, 2022
Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He

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* Accepted by WWW2022 

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PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation


Mar 23, 2022
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He

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* Accepted by WWW 2022 

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Debiased Recommendation with User Feature Balancing


Jan 16, 2022
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen

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Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation


Dec 03, 2021
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King

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MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction


Nov 30, 2021
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang

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* Accepted by ICDE2022 

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