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Sponsoring mobile data: An economic analysis of the impact on users and content providers

机译:赞助移动数据:对用户和内容提供商的影响的经济分析

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In January 2014, AT&T introduced sponsored data to the U.S. mobile data market, allowing content providers (CPs) to subsidize users' cost of mobile data. As sponsored data gains traction in industry, it is important to understand its implications. This work considers CPs' choice of how much content to sponsor and the implications for users, CPs, and ISPs (Internet service providers). We first formulate a model of user, CP, and ISP interaction for heterogeneous users and CPs and derive their optimal behaviors. We then show that these behaviors can reverse our intuition as to how user demand and utility change with different user and CP characteristics. While all three parties can benefit from sponsored data, we find that sponsorship disproportionately favors less cost-constrained CPs and more cost-constrained users, exacerbating CP inequalities but making user demand more even. We also show that users' utilities increase more than CPs' with sponsored data. We finally illustrate these results in practice through numerical simulations with data from a commercial pricing trial and introduce a framework for CPs to decide which, in addition to how much, content to sponsor.
机译:2014年1月,AT&T将赞助数据引入了美国移动数据市场,从而允许内容提供商(CP)补贴用户的移动数据成本。由于赞助数据在行业中越来越受欢迎,因此了解其含义很重要。这项工作考虑了CP选择要赞助多少内容以及对用户,CP和ISP(Internet服务提供商)的影响。我们首先为异构用户和CP制定用户,CP和ISP交互的模型,并推导它们的最佳行为。然后,我们证明这些行为可以颠倒我们的直觉,即用户需求和效用如何随不同的用户和CP特性而变化。尽管所有三个方面都可以从赞助数据中受益,但我们发现赞助在偏少程度上有利于成本约束较少的CP和更受成本约束的用户,这加剧了CP不平等,但使用户需求更加平均。我们还显示,使用赞助数据,用户的实用程序比CP的增长更多。最后,我们将通过使用来自商业定价试验的数据进行的数值模拟,在实践中说明这些结果,并为CP引入一个框架,以决定除了赞助多少内容外,CP还可以决定哪些内容。

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