Prediction of user response to invitations in a social network system based on keywords in the user's profile
    2.
    发明授权
    Prediction of user response to invitations in a social network system based on keywords in the user's profile 有权
    基于用户个人资料中的关键字预测用户对社交网络系统中邀请的响应

    公开(公告)号:US09444907B2

    公开(公告)日:2016-09-13

    申请号:US13428765

    申请日:2012-03-23

    Abstract: 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.

    Abstract translation: 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。

    Predicting user responses to invitations in a social networking system based on keywords in user profiles
    8.
    发明授权
    Predicting user responses to invitations in a social networking system based on keywords in user profiles 有权
    基于用户个人资料中的关键字预测用户对社交网络系统中邀请的响应

    公开(公告)号:US08145584B2

    公开(公告)日:2012-03-27

    申请号:US13214211

    申请日:2011-08-21

    Abstract: 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.

    Abstract translation: 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。

    Systems and methods for observing responses to invitations by users in a web-based social network
    9.
    发明授权
    Systems and methods for observing responses to invitations by users in a web-based social network 有权
    用于在网络社交网络中观察用户对邀请的响应的系统和方法

    公开(公告)号:US08027943B2

    公开(公告)日:2011-09-27

    申请号:US11893820

    申请日:2007-08-16

    Abstract: A system and method for selecting a subset of keywords from a set of master keywords found in user profiles in a social network is disclosed. 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.

    Abstract translation: 公开了一种用于从在社交网络的用户简档中发现的一组主关键词中选择关键词子集的系统和方法。 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。

    Systems and methods for keyword selection in a web-based social network
    10.
    发明申请
    Systems and methods for keyword selection in a web-based social network 有权
    在基于网络的社交网络中进行关键词选择的系统和方法

    公开(公告)号:US20090049036A1

    公开(公告)日:2009-02-19

    申请号:US11893820

    申请日:2007-08-16

    Abstract: A system and method for selecting a subset of keywords from a set of master keywords found in user profiles in a social network is disclosed. 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.

    Abstract translation: 公开了一种用于从在社交网络的用户简档中发现的一组主关键词中选择关键词子集的系统和方法。 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。

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