Towards Model-based Pricing for Machine Learning in a Data Marketplace

Summary: Proposes a model-based pricing (MBP) framework pricing ML models not data in a data marketplace. Adds a noise-injection MBP with arbitrage-free pricing; enables revenue optimization under market scenarios and shows buyer affordability and low runtime. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h9fa214dba7dcf42f
Venue: SIGMOD
Year: 2019
Pagerank: 0.0001091784
Overall Rank: 1,362 | 90.85%
DOI: 10.1145/3299869.3300078

Incoming Non-self Citations Over Time

Authors

1. Lingjiao Chen (University of Wisconsin)
2. Paraschos Koutris (University of Wisconsin)
3. Arun Kumar (University of California San Diego)

BibTeX Citation

@inproceedings{chen_sigmod19,
        title = {{Towards Model-based Pricing for Machine Learning in a Data Marketplace}},
        author = {Chen, Lingjiao and Koutris, Paraschos and Kumar, Arun},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300078},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300078},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,845	Data Market Platforms: Trading Data Assets to Solve Data Problems	2020	VLDB	9.5136397e-05
3,015	Data Acquisition for Improving Machine Learning Models	2021	VLDB	7.7529194e-05
3,729	Protecting Data Markets from Strategic Buyers	2022	SIGMOD	7.069419e-05
3,780	Dealer: An End-to-End Model Marketplace with Differential Privacy	2021	VLDB	7.0249464e-05
4,928	Efficient Sampling Approaches to Shapley Value Approximation	2023	SIGMOD	6.3502007e-05
5,414	Towards Distribution-aware Query Answering in Data Markets	2022	VLDB	6.1399858e-05
5,428	Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games	2024	SIGMOD	6.1339984e-05
6,086	Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace	2019	SIGMOD	5.8912658e-05
6,115	Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets	2023	VLDB	5.8817545e-05
6,390	On Shapley Value in Data Assemblage Under Independent Utility	2022	VLDB	5.8010007e-05
6,553	A Comprehensive Study of Shapley Value in Data Analytics	2025	VLDB	5.7499619e-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
9,009	Data Acquisition for Improving Model Confidence	2024	SIGMOD	5.2386895e-05
9,071	Privacy and Accuracy-Aware AI/ML Model Deduplication	2025	SIGMOD	5.2283159e-05
9,415	Managing Conflicting Interests of Stakeholders in Influencer Marketing	2023	SIGMOD	5.1804375e-05
9,723	Shapley Value Estimation Based on Differential Matrix	2025	SIGMOD	5.1349531e-05
10,593	Reliable and Private Utility Signaling for Data Markets	2026	SIGMOD	4.9793485e-05
10,865	Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation	2026	VLDB	4.9793485e-05
11,354	Privacy-Enhanced Database Synthesis for Benchmark Publishing	2025	VLDB	4.9793485e-05
11,534	A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition	2024	SIGMOD	4.9793485e-05
11,552	Performance-Based Pricing for Federated Learning via Auction	2024	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
105	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033638251
121	Boosting the Accuracy of Differentially Private Histograms Through Consistency	2010	VLDB	0.00031089378
415	SystemML: Declarative Machine Learning on Spark	2016	VLDB	0.0001865959
654	Materialization Optimizations for Feature Selection Workloads	2014	SIGMOD	0.0001510357
1,153	Data Management Challenges in Production Machine Learning	2017	SIGMOD	0.00011798912
1,593	Data Markets in the Cloud: An Opportunity for the Database Community	2011	VLDB	0.00010135008
1,858	On Arbitrage-free Pricing for General Data Queries	2014	VLDB	9.491865e-05
2,090	Optimizing error of high-dimensional statistical queries under differential privacy	2018	VLDB	9.0657103e-05
2,387	Query-Based Data Pricing	2012	PODS	8.5381364e-05
2,714	Toward Practical Query Pricing with QueryMarket	2013	SIGMOD	8.101919e-05
3,524	MLog: Towards Declarative In-Database Machine Learning	2017	VLDB	7.2337006e-05
4,794	Optimal Random Perturbation at Multiple Privacy Levels	2009	VLDB	6.4124756e-05
5,686	Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges	2017	SIGMOD	6.0368403e-05
5,977	QueryMarket Demonstration: Pricing for Online Data Markets	2012	VLDB	5.9291811e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	2,387	Query-Based Data Pricing	2012	PODS
2	8,305	Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy	2021	VLDB
3	1,858	On Arbitrage-free Pricing for General Data Queries	2014	VLDB
4	3,986	Revenue Maximization for Query Pricing	2020	VLDB
5	3,780	Dealer: An End-to-End Model Marketplace with Differential Privacy	2021	VLDB
6	11,643	DataPrice: An Interactive System for Pricing Datasets in Data Marketplaces	2024	VLDB
7	3,729	Protecting Data Markets from Strategic Buyers	2022	SIGMOD
8	11,534	A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition	2024	SIGMOD
9	11,552	Performance-Based Pricing for Federated Learning via Auction	2024	VLDB
10	6,086	Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace	2019	SIGMOD