SYSTEMS, METHODS, AND COMPUTER-READABLE-MEDIA FOR DETERMINING A MULTILOCATION PREDICTED CLICK-THROUGH RATE FOR ADVERTISEMENTS
    1.
    发明申请
    SYSTEMS, METHODS, AND COMPUTER-READABLE-MEDIA FOR DETERMINING A MULTILOCATION PREDICTED CLICK-THROUGH RATE FOR ADVERTISEMENTS 审中-公开
    用于确定用于广告的多重预测点击率的系统,方法和计算机可读介质

    公开(公告)号:US20150120436A1

    公开(公告)日:2015-04-30

    申请号:US13656387

    申请日:2012-10-19

    Applicant: Google Inc.

    CPC classification number: G06Q30/0246 G06Q30/0256

    Abstract: Provided are systems and methods for determining a multilocation predicted click-through rate (pCTR) for advertisements. The multilocation pCTR may be used to select and rank advertisements for advertisement auctions presented to potential advertisers. The multilocation pCTR may be based on a set of locations and probabilities for an estimation of a user's location, such by internet protocol (IP) address geolocation. The multilocation pCTR for an advertisement and a location set may then be determined from the single location pCTR for each location of the location set and the probability associated with each location.

    Abstract translation: 提供了用于确定广告的多位置预测点击率(pCTR)的系统和方法。 多位置pCTR可用于选择和排列向潜在广告商呈现的广告拍卖的广告。 多位置pCTR可以基于用于估计用户位置的一组位置和概率,例如通过因特网协议(IP)地址地理位置。 然后可以从位置集合的每个位置和与每个位置相关联的概率的单个位置pCTR确定用于广告和位置集合的多位置pCTR。

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