Using embedding functions with a deep network

    公开(公告)号:US09514404B1

    公开(公告)日:2016-12-06

    申请号:US14860497

    申请日:2015-09-21

    Applicant: Google Inc.

    CPC classification number: G06N3/08 G06N3/04 G06N3/0454 G06N3/084

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using embedded function with a deep network. One of the methods includes receiving an input comprising a plurality of features, wherein each of the features is of a different feature type; processing each of the features using a respective embedding function to generate one or more numeric values, wherein each of the embedding functions operates independently of each other embedding function, and wherein each of the embedding functions is used for features of a respective feature type; processing the numeric values using a deep network to generate a first alternative representation of the input, wherein the deep network is a machine learning model composed of a plurality of levels of non-linear operations; and processing the first alternative representation of the input using a logistic regression classifier to predict a label for the input.

    GROUPING AND PRICING LOW-COMPETITION CONTENT ITEM REQUESTS
    2.
    发明申请
    GROUPING AND PRICING LOW-COMPETITION CONTENT ITEM REQUESTS 审中-公开
    分组和定价低竞争内容项目要求

    公开(公告)号:US20160042034A1

    公开(公告)日:2016-02-11

    申请号:US14455677

    申请日:2014-08-08

    Applicant: Google Inc.

    CPC classification number: G06Q30/0273

    Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. A set of k requests is identified, each request being associated with a request for content. Candidate content items are identified for one or more of the requests in the set. Identified candidate content items are ranked based at least in part on their respective associated bids, expected value or long-term value. Top K candidate content items are determined based on the ranking. A price is assigned to each of the top K candidate content items based on the ranking and the associated bids. One or more of the top K candidate content items are provided responsive to the requests in the set.

    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,包括用于提供内容的方法。 识别一组k个请求,每个请求与内容请求相关联。 为集合中的一个或多个请求标识候选内容项。 至少部分地根据其相关联的出价,期望值或长期价值对所识别的候选内容项进行排名。 顶级K候选内容项目是根据排名确定的。 基于排名和相关联的出价,将价格分配给每个顶级K候选内容项目。 响应于该组中的请求来提供顶级K候选内容项中的一个或多个。

Patent Agency Ranking