DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces
Summary: DataPrice is an interactive system that trains a pricing model on real commercial marketplace datasets to estimate reference prices from dataset descriptions for sellers and buyers. It leverages Shapley-value attribution over metadata attributes to generate textual explanations of price drivers, improving transparency and trust. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yiding Zhu (Zhejiang University)
- 2. Hongwei Zhang (Zhejiang University)
- 3. Jiayao Zhang (Zhejiang University)
- 4. Jinfei Liu (Zhejiang University)
- 5. Kui Ren (Zhejiang University)
BibTeX Citation
@article{zhu_vldb24,
title = {{DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces}},
author = {Zhu, Yiding and Zhang, Hongwei and Zhang, Jiayao and Liu, Jinfei and Ren, Kui},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4433--4436},
doi = {10.14778/3685800.3685893},
url = {https://doi.org/10.14778/3685800.3685893},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,759 | Dealer: An End-to-End Model Marketplace with Differential Privacy | 2021 | VLDB | 7.14674e-05 |
| 5,191 | QIRANA: A Framework for Scalable Query Pricing | 2017 | SIGMOD | 6.3265914e-05 |
| 6,551 | Efficient Sampling Approaches to Shapley Value Approximation | 2023 | SIGMOD | 5.8429222e-05 |
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