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ShaRP (including unary, banzhaff, and Shapley measures)
Pliatsika, Venetia, Joao Fonseca, Tilun Wang, and Julia Stoyanovich. ShaRP: Explaining Rankings with Shapley Values. arXiv preprint arXiv:2401.16744, 2024. -
SHAP
Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. Advances in neural information processing systems, 30. -
[WIP] LIME
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HILW
Jun Yuan and Aritra Dasgupta. A human-in-the-loop workflow for multi-factorial sensitivity analysis of algorithmic rankers. In Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2023, Seattle, WA, USA, 18 June 2023, pages 5:1–5:5. ACM, 2023. -
HRE (including explanations based on OLS, PLS, Linear Regression and Decision Tree)
Hadis Anahideh and Nasrin Mohabbati-Kalejahi. Local explanations of global rankings: Insights for competitive rankings. IEEE Access, 10:30676–30693, 2022. -
Participation score
Abraham Gale and Amelie Marian. Explaining ranking functions. Proc. VLDB Endow., 14(4):640–652, 2020. -
[Backlogged - Not planned] Nutritional Labels
Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, and Gerome Miklau. A nutritional label for rankings. In Proceedings of International Conference on the Management of Data, SIGMOD, pages 1773–1776. ACM, 2018.
Will be updated later