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    • 10. 发明申请
    • DEEP APPLICATION CRAWLING
    • DEEP应用程序CRAWLING
    • US20130332442A1
    • 2013-12-12
    • US13490335
    • 2012-06-06
    • Jie LiuSuman Kumar NathJitendra D. PadhyeLenin Ravindranath Sivalingam
    • Jie LiuSuman Kumar NathJitendra D. PadhyeLenin Ravindranath Sivalingam
    • G06F17/30
    • G06Q30/0256G06F17/30864G06F17/30882G06Q30/0267
    • The deep application crawling technique described herein crawls one or more applications, commonly referred to as “apps”, in order to extract information inside of them. This can involve crawling and extracting static data that are embedded within apps or resource files that are associated with the apps. The technique can also crawl and extract dynamic data that apps download from the Internet or display to the user on demand, in order to extract data. This extracted static and/or data can then be used by another application or an engine to perform various functions. For example, the technique can use the extracted data to provide search results in response to a user query entered into a search engine. Alternately, the extracted static and/or dynamic data can be used by an advertisement engine to select application-specific advertisements. Or the data can be used by a recommendation engine to make recommendations for goods/services.
    • 本文描述的深层应用程序爬取技术抓取一个或多个应用程序,通常称为“应用程序”,以便提取其中的信息。 这可能涉及爬网和提取内嵌在与应用程序相关联的应用程序或资源文件中的静态数据。 该技术还可以抓取并提取应用程序从Internet下载或按需显示的动态数据,以便提取数据。 然后,该提取的静态和/或数据可以被另一应用或引擎用于执行各种功能。 例如,该技术可以使用提取的数据来响应输入到搜索引擎中的用户查询来提供搜索结果。 或者,所提取的静态和/或动态数据可以由广告引擎用于选择特定应用的广告。 或者推荐引擎可以使用数据来提供商品/服务的建议。