1. Dara Bahri , Yi Tay , Che Zheng , Donald Metzler , and Andrew Tomkins . 2020 . Choppy: Cut Transformer for Ranked List Truncation .ACM , New York, NY, USA , 1513--1516. https://doi.org/10.1145/3397271.3401188 Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, and Andrew Tomkins. 2020. Choppy: Cut Transformer for Ranked List Truncation .ACM, New York, NY, USA, 1513--1516. https://doi.org/10.1145/3397271.3401188
2. Fairness in Recommendation Ranking through Pairwise Comparisons
3. Equity of Attention
4. Daniel Cohen , Bhaskar Mitra , Oleg Lesota , Navid Rekabsaz , and Carsten Eickhoff . 2021. Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models . arXiv:2105.04651 [cs] (May 2021 ). https://doi.org/10.1145/3404835.3462951 arXiv: 2105.04651. Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, and Carsten Eickhoff. 2021. Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models . arXiv:2105.04651 [cs] (May 2021). https://doi.org/10.1145/3404835.3462951 arXiv: 2105.04651.
5. Dynamic Cutoff Prediction in Multi-Stage Retrieval Systems