ShaRP: Explaining Rankings and Preferences with Shapley Values
Summary: ShaRP extends Shapley-value explanations to ranking by defining rank- and top-kâaware contribution scores and a novel Shapley-based pairwise preference attribution. Efficient implementation for score-based and learning-to-rank models plus comprehensive evaluations show scalable, complementary insights. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,191 | A Nutritional Label for Rankings | 2018 | SIGMOD | 4.8049534e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,597 | Designing Fair Ranking Schemes | 2019 | SIGMOD | 0.00011209846 |
| 8,825 | Determining the Impact Regions of Competing Options in Preference Space | 2017 | SIGMOD | 4.4415078e-05 |
| 6,429 | ShapGraph: An Holistic View of Explanations through Provenance Graphs and Shapley Values | 2022 | SIGMOD | 5.0666822e-05 |
| 7,932 | P-Shapley: Shapley Values on Probabilistic Classifiers | 2024 | VLDB | 4.613363e-05 |
| 2,868 | Computing the Shapley Value of Facts in Query Answering | 2022 | SIGMOD | 7.9816425e-05 |
| 10,655 | A Comprehensive Study of Shapley Value in Data Analytics | 2025 | VLDB | 4.1945683e-05 |
| 6,906 | Explaining Monotonic Ranking Functions | 2021 | VLDB | 4.8925595e-05 |
| 10,524 | Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data | 2025 | SIGMOD | 4.1945683e-05 |
| 10,393 | SHARQ: Explainability Framework for Association Rules on Relational Data | 2025 | SIGMOD | 4.1945683e-05 |
| 13,110 | ShapX Engine: A Demonstration of Shapley Value Approximations | 2025 | SIGMOD | - |