数据交互的博弈论方法:进展报告

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.) Pub Date : 2017-05-14 DOI:10.1145/3077257.3077270

Ben McCamish, Arash Termehchy, B. Touri

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引用次数: 1

摘要

由于大多数数据库用户不能以数据库查询的形式精确地表达他们的信息需求，因此数据库查询接口很难理解和满足他们的意图。数据库系统通常通过收集用户对用户不精确和不明确查询的答案的反馈来提高对用户意图的理解。用户还可以学习在与数据库系统交互期间精确地表达他们的查询。在本文中，我们报告了我们在开发用于表示和理解数据库查询和探索中的信息需求的正式框架方面的进展。我们的框架将查询视为用户和数据库系统之间的协作，以建立一种表示信息需求的共同语言。我们将这种协作形式化为两个潜在的理性代理(用户和数据库系统)之间的信号博弈。我们相信这个框架自然地模拟了用户和数据库系统之间的长期交互。

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A Game-theoretic Approach to Data Interaction: A Progress Report

As most database users cannot precisely express their information needs in the form of database queries, it is challenging for database query interfaces to understand and satisfy their intents. Database systems usually improve their understanding of users' intents by collecting their feedback on the answers to the users' imprecise and ill-specified queries. Users may also learn to express their queries precisely during their interactions with the database system. In this paper, we report our progress on developing a formal framework for representing and understanding information needs in database querying and exploration. Our framework considers querying as a collaboration between the user and the database system to establish a mutual language for representing information needs. We formalize this collaboration as a signaling game between two potentially rational agents: the user and the database system. We believe that this framework naturally models the long-term interaction of users and database systems.

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来源期刊

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)

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