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The learning objective plays a fundamental role to build a recommender system.
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Causal Intervention for Leveraging Popularity Bias in Recommendation. In SIGIR . 11–20
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Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. In SIGKDD . 3985–3995
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Item Recommendation from Implicit Feedback
Steffen Rendle. 2022 · 2022
Closest in time.
Cross Pairwise Ranking for Unbiased Item Recommendation. In WWW . 2370–2378
Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, and Ruiming Tang. 2022 · 2022
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Graph convolution machine for context-aware recommender system
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Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. In NeurIPS
An Zhang, Wenchang Ma, Xiang Wang, and Tat-Seng Chua. 2022 · 2022
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Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2023 · 2023
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Multisample-Based Contrastive Loss for Top-K Recommendation
Hao Tang, Guoshuai Zhao, Yuxia Wu, and Xueming Qian. 2023 · 2023
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