Systems and Methods for Cold-start and Continuous-learning via Evolutionary Explorations
    1.
    发明申请
    Systems and Methods for Cold-start and Continuous-learning via Evolutionary Explorations 审中-公开
    通过进化探索进行冷启动和连续学习的系统和方法

    公开(公告)号:US20160260125A1

    公开(公告)日:2016-09-08

    申请号:US14640661

    申请日:2015-03-06

    Applicant: YAHOO! INC.

    Inventor: Jian XU Zhonghao LU

    CPC classification number: G06Q30/0246

    Abstract: Systems and methods for cold-start and continuous-learning via evolutionary explorations are provided. The system includes a database including serving data. A computer server is in communication with the database, the computer server is programmed to: obtain an advertisement opportunity including user data and page data; extract semantic features from the user data, the page data, and a campaign; determine a score that measures a similarity between the advertisement opportunity and the campaign using the semantic features; assign a set of weights to the semantic features when determining the score during a first time period; collect click data on the campaign while using the set of weights to run the campaign in the first time period; update the set of weights using the click data by minimizing a logistic loss function; and assign an updated set of weights to the semantic features during a second time period.

    Abstract translation: 提供了通过进化探索进行冷启动和连续学习的系统和方法。 该系统包括包括服务数据的数据库。 计算机服务器与数据库通信,计算机服务器被编程为:获得包括用户数据和页面数据的广告机会; 从用户数据,页面数据和广告系列中提取语义特征; 使用语义特征确定广告机会和运动之间的相似性的分数; 在第一时间段内确定分数时,将一组权重分配给语义特征; 收集广告系列的点击数据,同时使用一组权重在第一个时间段内运行广告系列; 通过最小化物流损失函数,使用点击数据更新权重集; 并且在第二时间段期间将更新的权重集合分配给所述语义特征。

    SYSTEMS AND METHODS FOR AD CAMPAIGN OPTIMIZATION
    2.
    发明申请
    SYSTEMS AND METHODS FOR AD CAMPAIGN OPTIMIZATION 审中-公开
    系统和方法用于公共竞争优化

    公开(公告)号:US20160180376A1

    公开(公告)日:2016-06-23

    申请号:US14585961

    申请日:2014-12-30

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0244

    Abstract: A computer system that implements a method for optimizing an ad campaign may be configured to receive an online ad display request to display an ad to a viewer and obtain at least three probabilities—a first probability that the ad will receive a positive response from the viewer, a second probability that the ad will receive a neutral response from the viewer, and a third probability that the ad will receive a negative response from the viewer. Additionally, the computer system may also be configured to determine a gain value of displaying the ad; and determine a bidding price associated with the ad request based on the gain value.

    Abstract translation: 实现用于优化广告活动的方法的计算机系统可以被配置为接收在线广告显示请求以向观看者显示广告并获得至少三个概率 - 广告将从观看者接收到肯定响应的第一概率 ,广告将从观众接收中立响应的第二个概率,以及广告将从观众收到否定回应的第三个概率。 此外,计算机系统还可以被配置为确定显示广告的增益值; 并基于增益值确定与广告请求相关联的投标价格。

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