System And Method For Invitation Targeting In A Web-Based Social Network
    24.
    发明申请
    System And Method For Invitation Targeting In A Web-Based Social Network 审中-公开
    基于Web的社交网络中的邀请对象的系统和方法

    公开(公告)号:US20130013541A1

    公开(公告)日:2013-01-10

    申请号:US13620273

    申请日:2012-09-14

    IPC分类号: G06F15/18

    CPC分类号: G06Q10/10 H04L67/306

    摘要: A system and method for selecting users of a web-based social network who are likely to respond to an invitation, each of the users having associated profile information is disclosed. The method includes selecting pilot users and a reduced set of keywords from the profile information. The method further includes sending the invitation to the pilot users, receiving responses from the pilot users, and classifying the responses as either positive or negative. A training set of vector pairs is created each vector pair representing a pilot user and including data representing a classified response and training keywords selected from the reduced set of keywords and associated profile information for the pilot user. A function is determined based on the vectors and used to calculate a likelihood that each of one or more users of the web based social network will respond to the invitation.

    摘要翻译: 公开了一种用于选择可能响应邀请的基于网络的社交网络的用户的系统和方法,每个用户具有相关联的简档信息。 该方法包括从简档信息中选择导频用户和减少的一组关键字。 该方法还包括将邀请发送给试用用户,接收来自飞行员的响应,并将响应分为正或负。 创建向量对的训练集合,每个矢量对表示导频用户,并且包括表示分类响应的数据,以及针对导频用户从关键字的缩减集合和相关联的简档信息中选择的训练关键字。 基于向量确定功能,并用于计算基于web的社交网络的一个或多个用户中的每一个将响应于该邀请的可能性。

    Prediction of User Response to Invitations in a Social Network System Based on Keywords in the User's Profile
    25.
    发明申请
    Prediction of User Response to Invitations in a Social Network System Based on Keywords in the User's Profile 审中-公开
    基于用户个人资料中关键词的用户对社交网络系统中邀请的响应预测

    公开(公告)号:US20120179637A1

    公开(公告)日:2012-07-12

    申请号:US13428765

    申请日:2012-03-23

    IPC分类号: G06N5/00

    摘要: A social networking system selects a subset of keywords from a set of master keywords found in user profiles. The method includes selecting a first and second group of user profiles including one or more keywords and computing the number of occurrences of each of the master keywords in the first and second group of profiles. A value may be computed for each of the master keywords based on a comparison of the number of occurrences in the first group of profiles and the number of occurrences in the second group of profiles. The computed value may be used for selecting the subset of keywords from the master keywords and/or ranking the master keywords.

    摘要翻译: 社交网络系统从用户配置文件中找到的一组主关键字中选择一个关键字子集。 该方法包括选择包括一个或多个关键字的第一组和第二组用户简档,并且计算第一组和第二组轮廓中每个主关键词的出现次数。 可以基于第一组轮廓中的出现次数和第二组轮廓中的出现次数的比较来计算每个主关键词的值。 所计算的值可以用于从主关键字中选择关键词的子集和/或对主关键词进行排序。

    System and method of identifying and measuring response to user interface design
    28.
    发明授权
    System and method of identifying and measuring response to user interface design 有权
    识别和测量用户界面设计响应的系统和方法

    公开(公告)号:US07827004B2

    公开(公告)日:2010-11-02

    申请号:US11496825

    申请日:2006-07-31

    IPC分类号: G06F19/00 G06F17/18

    摘要: In accordance with aspects disclosed herein, impact that a user interface design has on a user's experience is measured. User response to one or more user interface designs is measured. Two or more user interface designs can be compared based on user response to each design. A single user interface design can be evaluated based on one or more measures of user response to the user interface, or two or more user interface designs can be compared using one or more user response measures corresponding to the user interface designs.

    摘要翻译: 根据本文公开的方面,测量用户界面设计对用户体验的影响。 测量对一个或多个用户界面设计的用户响应。 可以基于用户对每个设计的响应来比较两个或多个用户界面设计。 可以基于对用户界面的用户响应的一个或多个测量来评估单个用户界面设计,或者可以使用与用户界面设计相对应的一个或多个用户响应度量来比较两个或更多个用户界面设计。

    Contextually Relevant Affinity Prediction in a Social Networking System
    30.
    发明申请
    Contextually Relevant Affinity Prediction in a Social Networking System 审中-公开
    社交网络系统中的相关亲和度预测

    公开(公告)号:US20120166532A1

    公开(公告)日:2012-06-28

    申请号:US12978265

    申请日:2010-12-23

    IPC分类号: G06F15/16

    CPC分类号: G06Q30/0224 G06Q50/01

    摘要: A tunable affinity function serves one or more processes running in a social networking environment, where each process may request a measure of affinity for a particular user. A module that implements the affinity function computes the requested measure of affinity by combining (e.g., adding) a weighted set of predictor functions, where each predictor function predicts whether the user will perform a different action. The weights are provided by the process that requests the measure of affinity, which allows the requesting process to weight the predictor functions differently and thus tune the affinity function for its own purpose.

    摘要翻译: 可调亲和度功能服务于在社交网络环境中运行的一个或多个进程,其中每个进程可以请求对特定用户的亲和度的度量。 实现亲和度功能的模块通过组合(例如,添加)预测器函数的加权集合来计算所请求的亲和度度量,其中每个预测器函数预测用户是否将执行不同的动作。 权重由请求亲和度测量的过程提供,这允许请求过程对预测器的功能进行不同的加权,并因此调整亲和力功能以达到其自身目的。