中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

5 records (took 0.013 seconds)

    Automatic audience creation for shared content
    3.
    发明授权
    Automatic audience creation for shared content 有权
    为共享内容自动创建受众群体

    公开(公告)号：US09253269B1

    公开(公告)日：2016-02-02

    申请号：US13789310

    申请日：2013-03-07

    Applicant: Google Inc.

    Inventor： Luciano Sbaiz ,  Effrosyni Kokiopoulou ,  Dimitre Trendafilov ,  Jesse Berent

    IPC: G06F15/173 ,  H04L29/08

    CPC classification number: H04L67/22

    Abstract: A system for creating audiences for a shared content publisher, includes a data store comprising a computer readable medium storing a program of instructions for audiences for a shared content publisher; a processor that executes the program of instructions; a data processor to monitor access to an Internet web site by a first set of users for a reference time period; a window extraction module, based on a reference split period, to divide the monitored access into a vector X and a vector Y, wherein vector X is defined by accesses by the first set of users before the reference split period, and vector Y is defined by accesses by the first user after the reference split period; and a data analysis module to create a model based on the vector X and the vector Y, to evaluate the model based on a second set of users accessing content similar to vector X, to create a final model based on the evaluation, and to score a group of users associated with the shared content publisher based on the final model, the data processor monitors accesses by the first user by recording content or shared content identification and additional information items.

    Abstract translation: 一种用于为共享内容发布者创建观众的系统，包括数据存储器，其包括存储针对共享内容发布者的观众的指令程序的计算机可读介质; 执行指令程序的处理器; 数据处理器，用于监视第一组用户在参考时间段内对因特网网站的访问; 基于参考分割周期的窗口提取模块将所监视的访问划分为向量X和向量Y，其中向量X由参考分割周期之前的第一组用户的访问定义，并且向量Y被定义 通过第一用户在参考分割周期之后的访问; 以及数据分析模块，用于基于向量X和向量Y创建模型，以基于访问与向量X类似的内容的第二组用户来评估模型，以基于评估创建最终模型，并且评分 基于最终模型与共享内容发布者相关联的一组用户，数据处理器通过记录内容或共享内容标识和附加信息项来监视第一用户的访问。

    Predicting Interest Levels Associated with Publication and Content Item Combinations
    4.
    发明申请
    Predicting Interest Levels Associated with Publication and Content Item Combinations 有权
    预测与出版物和内容项目组合相关的兴趣等级

    公开(公告)号：US20150088801A1

    公开(公告)日：2015-03-26

    申请号：US14037010

    申请日：2013-09-25

    Applicant: Google Inc.

    Inventor： Luciano Sbaiz ,  Dimitre Trendafilov

    IPC: G06N5/04 ,  H04L29/06

    CPC classification number: H04L67/42 ,  G06N5/04 ,  G06N5/048 ,  G06N7/005 ,  G06N7/04 ,  G06N99/005 ,  G06Q10/10 ,  H04L67/22 ,  H04L67/26 ,  H04L67/306

    Abstract: A method of predicting interest levels associated with publication and content item combinations is described. Additionally, a server computing device for predicting interest levels associated with publication and content item combinations is described. Further, a computer-readable storage device having processor-executable instructions embodied thereon is described. The processor-executable instructions are for predicting interest levels associated with publication and content item combinations.

    Abstract translation: 描述了与出版物和内容项目组合相关联的预测兴趣级别的方法。 另外，描述了用于预测与发布和内容项组合相关联的兴趣级别的服务器计算设备。 此外，描述具有体现在其上的处理器可执行指令的计算机可读存储装置。 处理器可执行指令用于预测与发布和内容项目组合相关联的兴趣级别。

    Video Content Analysis For Automatic Demographics Recognition Of Users And Videos
    5.
    发明申请
    Video Content Analysis For Automatic Demographics Recognition Of Users And Videos 审中-公开
    视频内容分析用于自动人口统计识别用户和视频

    公开(公告)号：US20150081604A1

    公开(公告)日：2015-03-19

    申请号：US14552001

    申请日：2014-11-24

    Applicant: Google Inc.

    Inventor： Juan Carlos Niebles Duque ,  Hrishikesh Aradhye ,  Luciano Sbaiz ,  Jay Yagnik ,  Reto Strobl

    IPC: G06N5/04 ,  G06N99/00

    CPC classification number: G06N99/005 ,  G06F17/30781 ,  G06K9/00744 ,  H04L65/4084 ,  H04N21/23418 ,  H04N21/252 ,  H04N21/25883 ,  H04N21/25891

    Abstract: A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.

    Abstract translation: 人口统计学分析训练分类器模型，用于预测未知人口统计信息的视频和用户的人口特性值。 在一个实施例中，人口统计分析系统训练分类器模型，以使用诸如视频上传者的人口统计学，文本元数据和/或视频的视听内容的视频特征来预测视频的人口统计。 在一个实施例中，人口统计分析系统训练分类器模型，以基于用户的先前视频观看时段使用用户特征来预测用户（例如，匿名用户）的人口统计。 例如，基于观看期的用户特征可以包括个体观看期间统计，例如观看的总视频。 此外，基于观看期间的特征可以包括在观看期间的值的分布，诸如视频上传者的人口统计属性值中的分布，和/或一天中的几天，星期几等的观看次数分布。

Patent Agency Ranking