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    • 7. 发明授权
    • Systems and methods for performing background queries from content and activity
    • 用于从内容和活动执行后台查询的系统和方法
    • US07225187B2
    • 2007-05-29
    • US10827920
    • 2004-04-20
    • Susan T. DumaisEric J. HorvitzEdward B. CutrellRaman K. Sarin
    • Susan T. DumaisEric J. HorvitzEdward B. CutrellRaman K. Sarin
    • G06F17/30
    • G06F17/30867G06F17/30613Y10S707/99935
    • Most information retrieval systems start with a user's explicit query. Systems and methods are provided that perform implicit or background queries to one or more information sources based on the ongoing activities of users. The methods provide users with the results of such automated contextualized searches in an unobtrusive manner. In one aspect, implicit queries are run when users are reading, working on or composing an application. Queries can be automatically generated by analyzing an application, and results can be presented in a variety of peripheral display configurations, including a small pane adjacent to a current window to provide peripheral awareness of related information that is automatically determined from existing user context and/or related content from the application. The invention includes methods for building models that predict the value of different queries, and of the results generated by such queries, based on logged data, and for using such models to control query formulation and to mediate decisions about displaying the results of implicit queries.
    • 大多数信息检索系统从用户的显式查询开始。 提供了系统和方法,其基于用户正在进行的活动,对一个或多个信息源执行隐式或后台查询。 这些方法以不引人注目的方式为用户提供了这种自动化的语境化搜索的结果。 在一个方面,当用户阅读,处理或撰写应用程序时,会运行隐式查询。 可以通过分析应用程序自动生成查询,结果可以呈现在各种外围显示配置中,包括与当前窗口相邻的小窗格,以提供从现有用户上下文自动确定的相关信息的周边感知和/或 相关内容从应用程序。 本发明包括用于构建基于记录数据来预测不同查询的价值以及由这些查询产生的结果的模型的方法,以及使用这些模型来控制查询表达并调解关于显示隐式查询的结果的决策。