Predicting Visibility of Content Items
    1.
    发明申请
    Predicting Visibility of Content Items 审中-公开
    预测内容项目的可见性

    公开(公告)号:US20150269615A1

    公开(公告)日:2015-09-24

    申请号:US14734644

    申请日:2015-06-09

    Applicant: Google Inc.

    CPC classification number: G06Q30/0254 G06N5/02 G06Q30/02 G06Q30/0241

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method for predicting visibility of web pages. The method comprises identifying web pages that include slots for presenting content. The method further comprises, for each slot, creating a fingerprint based on a URL associated with the page and structural information associated with the slot's location on the page, determining a likelihood of the slot being visible when the web page is initially presented, the likelihood in the form of a predictive model, and saving the fingerprint and predictive model in a data structure. The method further comprises receiving a request for content from a web page, creating fingerprints associated with the web page, and comparing the fingerprints to fingerprints in the data structure. When a matching fingerprint is located, prediction data is used that is associated with a matching fingerprint for the web page.

    Abstract translation: 方法,系统和装置,包括在计算机可读存储介质上编码的计算机程序,并且包括用于预测网页的可见性的方法。 该方法包括识别包括用于呈现内容的时隙的网页。 所述方法还包括:针对每个时隙,基于与所述页面相关联的URL和与所述页面上的时隙的位置相关联的结构信息来创建指纹,确定当所述网页最初被呈现时所述时隙的可能性是可见的,所述可能性 以预测模型的形式,并将指纹和预测模型保存在数据结构中。 该方法还包括从网页接收对内容的请求,创建与网页相关联的指纹,以及将指纹与数据结构中的指纹进行比较。 当找到匹配的指纹时,使用与网页的匹配指纹相关联的预测数据。

Patent Agency Ranking