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Privacy and the Market for Private Data: A Negotiation Model to Capitalize on Private Data

机译:私人数据的隐私和市场:谈判模型,以利用私人数据

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The market for consumer information is already a lively market, where consumer information and consumer profile data are often among the most valuable assets owned by online retailers. The value of such commodity derives from the ability of firms to identify consumers and charge them personalized prices [1]. We argue that if consumers' identity and personal information is such a valuable asset, should not consumers benefit from their asset as well? In this paper, we propose a negotiation process between an online consumer agent and an online seller. The online consumer agent acts on behalf of consumers to maximize their social welfare. In our model, the agent derives a quantified privacy risk for each private data and uses it to determine a cost premium value to make the bargaining process manageable. We also provide a computational example to evaluate the model.
机译:消费者信息的市场已经是一个热闹的市场,消费者信息和消费者简介数据往往是在线零售商拥有的最宝贵资产之一。这种商品的价值来自企业识别消费者的能力,并将其收取个性化的价格[1]。我们认为,如果消费者的身份和个人信息是如此有价值的资产,也不应该消费者从他们的资产中受益吗?在本文中,我们提出了在线消费者代理和在线销售方之间的谈判过程。在线消费者代理代表消费者来最大化他们的社会福利。在我们的模型中,代理商为每个私有数据源众源众,并使用它来确定成本溢价值,以使讨价还价的过程可管理。我们还提供计算示例以评估模型。

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