Supporting Online Data Purchase by Preference Recommendation

Martins, Denis Mayr Lima; Vossen, Gottfried; Maleszka, Marcin

doi:10.1109/smc.2018.00627

Cited by 2 publications

(2 citation statements)

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“…Even though only one work in the literature review considered a recommender system [138], we still consider it as a solution category because recommender systems are prevalent in other digital distribution platforms [139]. Therefore, it stands to reason that similar solutions would apply to solving data brokering problems as well.…”

Section: Recommender Systemmentioning

confidence: 99%

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Data Market Design: A Systematic Literature Review

2022

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Data markets are platforms that provide the necessary infrastructure and services to facilitate the exchange of data products between data providers and data consumers from different environments. Over the last decade, many data markets have sprung up, capitalising on the increased appreciation of the value of data and catering to different domains. In this work, we analyse the existing body of scientific literature on data markets to provide the first comprehensive overview of research into the design of data markets, regardless of scientific background or application domain. In doing so, we contribute to the field in several ways: 1) We present an overview of the state of the art in academic research on data markets and compare this with existing market trends to identify potential gaps. 2) We identify important application domains and contexts where data markets are being put into practice. 3) Finally, we provide taxonomies of both design problems for data markets and the solutions that are being investigated to address them. We conclude our work by identifying common types of data markets and corresponding best practices for designing them. The outcome of this work is intended to serve as a starting point for software architects and engineers looking to design data markets.

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Section: Recommender Systemmentioning

confidence: 99%

“…A recommender system designed by a data broker can support the decision-making process of a data consumer by learning about data consumer preferences and identifying patterns of similar consumers. For new data consumers, the recommender system could ask guiding questions and propose potentially useful data products [138].…”

Section: Recommender Systemmentioning

confidence: 99%