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SYSTEMS AND METHODS FOR PROACTIVELY PROVIDING RECOMMENDATIONS TO A USER OF A COMPUTING DEVICE

机译:用于主动向计算设备的用户提供建议的系统和方法

摘要

The embodiments described herein set forth techniques for identifying when a user activates a search application on his or her mobile computing device, and presenting, prior to receiving an input of search parameters from the user, a prediction of one or more applications that the user may be interested in accessing. According to some embodiments, the search application can be configured to interface with an “application prediction engine” each time the search application is activated and query the application prediction engine for a prediction of one or more applications that the user may be interested in accessing. In turn, the application prediction engine can analyze information associated with the applications installed on the mobile computing device to produce the prediction. Using the prediction, the search application can display the predicted one or more applications within a user interface of the search application for selection by the user.
机译:本文描述的实施例阐述了用于识别用户在他或她的移动计算设备上激活搜索应用程序的技术,并且在从用户接收到搜索参数的输入之前呈现的技术,这是用户可以的一个或多个应用程序的预测有兴趣访问。根据一些实施例,搜索应用程序可以被配置为每次激活搜索应用程序并查询应用程序预测引擎以预测用户可能对访问的一个或多个应用程序的预测,以便与“应用程序预测引擎”接口。反过来,应用预测引擎可以分析与安装在移动计算设备上的应用相关的信息以产生预测。使用预测,搜索应用程序可以在搜索应用程序的用户界面内显示预测的一个或多个应用以供用户选择。

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