论文标题
有关数据定价的调查：从经济学到数据科学
A Survey on Data Pricing: from Economics to Data Science
论文作者
论文摘要
数据是无价的。我们如何客观，系统和定量地评估数据的价值？定价数据或一般信息货物已在分散的领域和原理中进行了研究和实践，例如经济学，市场营销，电子商务，数据管理，数据挖掘和机器学习。在本文中，我们介绍了这个重要方向的统一，跨学科和全面的概述。我们检查了数据定价背后的各种动机，了解数据定价的经济学，并根据一系列基本原则来回顾定价模型的发展和演变。我们讨论数字产品和数据产品。我们还考虑了一系列未来工作的挑战和方向。
Data are invaluable. How can we assess the value of data objectively, systematically and quantitatively? Pricing data, or information goods in general, has been studied and practiced in dispersed areas and principles, such as economics, marketing, electronic commerce, data management, data mining and machine learning. In this article, we present a unified, interdisciplinary and comprehensive overview of this important direction. We examine various motivations behind data pricing, understand the economics of data pricing and review the development and evolution of pricing models according to a series of fundamental principles. We discuss both digital products and data products. We also consider a series of challenges and directions for future work.
