Unbiased Recommendation Through Invariant Representation Learning

Author:

Tang Min,Zou Lixin,Cui Shujie,Liang Shiuan-ni,Jin Zhe

Publisher

Springer Nature Switzerland

Reference40 articles.

1. Arjovsky, M., Bottou, L., Gulrajani, I., Lopez-Paz, D.: Invariant risk minimization. arXiv preprint arXiv:1907.02893 (2019)

2. Castro, D.C., Walker, I., Glocker, B.: Causality matters in medical imaging. Nat. Commun. 11(1), 3673 (2020)

3. Chen, J., et al.: Autodebias: learning to debias for recommendation. In: SIGIR, pp. 21–30 (2021)

4. Chen, J., Dong, H., Wang, X., Feng, F., Wang, M., He, X.: Bias and debias in recommender system: a survey and future directions. TOIS 41(3), 1–39 (2023)

5. Creager, E., Jacobsen, J.H., Zemel, R.: Environment inference for invariant learning. In: International Conference on Machine Learning, pp. 2189–2200. PMLR (2021)

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