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
- 2. Hongwei Zhang
- 3. Jiayao Zhang
- 4. Jinfei Liu
- 5. Kui Ren
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,836 | Dealer: An End-to-End Model Marketplace with Differential Privacy | 2021 | VLDB | 6.7153977e-05 |
| 3,892 | QIRANA: A Framework for Scalable Query Pricing | 2017 | SIGMOD | 6.659352e-05 |
| 7,380 | Efficient Sampling Approaches to Shapley Value Approximation | 2023 | SIGMOD | 4.746272e-05 |
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