1. Mitigating Hidden Confounding Effects for Causal Recommendation;IEEE Transactions on Knowledge and Data Engineering;2024-09
2. Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
3. Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
4. Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework;ACM Transactions on Information Systems;2024-06-25
5. BSL: Understanding and Improving Softmax Loss for Recommendation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13