A Comprehensive Study of Shapley Value in Data Analytics
Summary: First comprehensive survey of Shapley value across the data-analytics workflow, unifying definitions and analyzing trade-offs among efficiency, approximation error, privacy, and interpretability. Introduces SVBench, an extensible benchmark framework and evaluation suite. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hong Lin (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 2. Shixin Wan (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 3. Zhongle Xie (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 4. Ke Chen (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 5. Meihui Zhang (Beijing Institute of Technology)
- 6. Lidan Shou (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
- 7. Gang Chen (Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security; Zhejiang University)
BibTeX Citation
@article{lin_vldb25,
title = {{A Comprehensive Study of Shapley Value in Data Analytics}},
author = {Lin, Hong and Wan, Shixin and Xie, Zhongle and Chen, Ke and Zhang, Meihui and Shou, Lidan and Chen, Gang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {3077--3092},
doi = {10.14778/3746405.3746429},
url = {https://doi.org/10.14778/3746405.3746429},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,824 | CaSh: Shapley Value Computation with Cache Optimization | 2026 | VLDB | 4.9793485e-05 |
| 10,865 | Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,362 | Towards Model-based Pricing for Machine Learning in a Data Marketplace | 2019 | SIGMOD | 0.0001091784 |
| 5,428 | Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games | 2024 | SIGMOD | 6.1339984e-05 |
| 6,115 | Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets | 2023 | VLDB | 5.8817545e-05 |
| 6,711 | Counterfactual Explanation of Shapley Value in Data Coalitions | 2024 | VLDB | 5.7012693e-05 |
| 8,150 | P-Shapley: Shapley Values on Probabilistic Classifiers | 2024 | VLDB | 5.39006e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,150 | P-Shapley: Shapley Values on Probabilistic Classifiers | 2024 | VLDB |
| 2 | 6,115 | Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets | 2023 | VLDB |
| 3 | 4,928 | Efficient Sampling Approaches to Shapley Value Approximation | 2023 | SIGMOD |
| 4 | 2,217 | Computing the Shapley Value of Facts in Query Answering | 2022 | SIGMOD |
| 5 | 9,723 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD |
| 6 | 10,430 | CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation | 2026 | SIGMOD |
| 7 | 11,211 | Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data | 2025 | SIGMOD |
| 8 | 6,390 | On Shapley Value in Data Assemblage Under Independent Utility | 2022 | VLDB |
| 9 | 5,428 | Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games | 2024 | SIGMOD |
| 10 | 6,711 | Counterfactual Explanation of Shapley Value in Data Coalitions | 2024 | VLDB |