Real-time analysis of feature relationships for interactive networks
    1.
    发明授权
    Real-time analysis of feature relationships for interactive networks 有权
    实时分析交互式网络的功能关系

    公开(公告)号:US09075506B1

    公开(公告)日:2015-07-07

    申请号:US13653338

    申请日:2012-10-16

    Applicant: Google Inc.

    CPC classification number: G06F3/0482 G06F11/34 G06F21/128 H04L12/6418

    Abstract: Systems and methods for providing real-time analysis of feature relationships are provided. In some aspects, a method includes receiving user activity data and user status data for users in the interactive network, the interactive network comprising at least two user features; generating a user dataset by associating, for each user, the user's activity data with the user's status data using a unique identification of the user and a timestamp; analyzing the user dataset using a statistical model; and providing, for display, an output of the analysis by the statistical model, the output including an indicator of a relationship between a use of one of the two user features with a use of the other of the two user features.

    Abstract translation: 提供了提供功能关系实时分析的系统和方法。 在一些方面,一种方法包括:接收交互式网络中的用户的用户活动数据和用户状态数据,所述交互式网络包括至少两个用户特征; 通过使用用户的唯一标识和时间戳将针对每个用户的用户的活动数据与用户的状态数据相关联来生成用户数据集; 使用统计模型分析用户数据集; 以及通过所述统计模型提供用于显示所述分析的输出,所述输出包括使用所述两个用户特征中的一个的两个用户特征中的另一个之间的关系的指示符。

    System and Method for Group Recommendation of Objects Using User Comparisons of Object Characteristics
    2.
    发明申请
    System and Method for Group Recommendation of Objects Using User Comparisons of Object Characteristics 审中-公开
    使用对象特征的用户比较的对象组建议的系统和方法

    公开(公告)号:US20150066915A1

    公开(公告)日:2015-03-05

    申请号:US13712046

    申请日:2012-12-12

    Applicant: Google Inc.

    CPC classification number: G06F16/9535

    Abstract: Systems and methods for determining a group recommendation of an object, such as a restaurant, movie, or other object, from a plurality of candidate objects based on user comparisons of characteristic traits of the candidate objects are provided. In particular, keywords associated with characteristic traits are identified. The keywords are then presented to members of the group as a series of selection queries. The selection queries require a user to select or rank the keywords based on user preferences. The responses to the selection queries are used to generate a ranking score for each of the plurality of candidate objects and to select one or more of the candidate objects to recommend to the group.

    Abstract translation: 提供了用于基于候选对象的特征特征的用户比较来确定来自多个候选对象的对象(例如餐馆,电影或其他对象)的群组推荐的系统和方法。 特别地,识别与特征特征相关联的关键词。 然后,将关键字作为一系列选择查询提交给组的成员。 选择查询要求用户根据用户偏好来选择或排列关键字。 对选择查询的响应用于生成多个候选对象中的每一个候选对象的排名分数,并选择候选对象中的一个或多个以推荐给该组。

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