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Popularity bias is a widespread problem in the field of recommender systems, where popular items tend to dominate recommendation results.
E-commerce recommendation applications
J Ben Schafer, Joseph A Konstan, and John Riedl · 2001
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An automated recommendation approach to selection in personnel recruitment
Frank Färber, Tim Weitzel, and Tobias Keim · 2003
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Matrix factorization techniques for recommender systems
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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Friendship and mobility: user movement in location-based social networks
Eunjoon Cho, Seth A Myers, and Jure Leskovec · 2011
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Bpr: Bayesian personalized ranking from implicit feedback
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Adam: A method for stochastic optimization
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Causal inference for recommendation
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Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system
Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, and Xiangnan He · 2021
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Self-supervised graph learning for recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, and Xing Xie · 2021
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Disentangling user interest and conformity for recommendation with causal embedding
Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, and Depeng Jin · 2021
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Bignn: A bilateral-branch graph neural network to solve popularity bias in recommendation
Yingshuai Kou, Neng Gao, Yifei Zhang, Chenyang Tu, and Cunqing Ma · 2022
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Mitigating popularity bias in recommendation with unbalanced interactions: A gradient perspective
Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Lim Ee Peng, and Yanjie Fu · 2022
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Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang · 2020
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Simplex: A simple and strong baseline for collaborative filtering
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, and Xiuqiang He · 2021
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On the effectiveness of sampled softmax loss for item recommendation
Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, and Xiangnan He · 2022
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Adap-tau: Adaptively modulating embedding magnitude for recommendation
Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, and Xiangnan He · 2023
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