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    TARGETING ADVERTISEMENTS IN A SOCIAL NETWORK
    1.
    发明申请
    TARGETING ADVERTISEMENTS IN A SOCIAL NETWORK 审中-公开
    在社会网络中指导广告

    公开(公告)号：US20090070219A1

    公开(公告)日：2009-03-12

    申请号：US12195321

    申请日：2008-08-20

    申请人： Adam D'Angelo ,  Aditya Agarwal ,  Kang-Xing Jin ,  Yun-Fang Juan ,  Levy Klots ,  Oleksandr Moskalyuk ,  Yishan Wong

    发明人： Adam D'Angelo ,  Aditya Agarwal ,  Kang-Xing Jin ,  Yun-Fang Juan ,  Levy Klots ,  Oleksandr Moskalyuk ,  Yishan Wong

    IPC分类号： G06Q30/00 ,  G06Q10/00 ,  G06Q40/00 ,  G06Q90/00

    CPC分类号： H04L67/306 ,  G06Q10/10 ,  G06Q30/02 ,  G06Q30/0247 ,  G06Q30/0251 ,  G06Q30/0258 ,  G06Q30/0269 ,  G06Q40/04 ,  H04L67/18 ,  H04L67/22 ,  H04W4/029

    摘要： A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website presents targeted ads based on actions by the member and one or more characteristics of the member. The social networking website maintains a profile associated with the member which describes characteristics of the member, such as age, geographic location, employment, educational history and interests. The social networking website compares the member profile to targeting criteria for a plurality of advertising requests and determines the advertising requests that match the member profile and generate the most revenue for the social networking website. When presenting a member with an ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the ad.

    摘要翻译： 社交网站记录有关网站成员采取的行动的信息。 对于网站的特定成员，网站根据会员的行为和会员的一个或多个特征提供有针对性的广告。 社交网站维护与成员有关的简介，描述会员的特征，如年龄，地理位置，就业，教育历史和兴趣。 社交网站将成员简档与多个广告请求的定位标准进行比较，并确定与成员简档匹配的广告请求，并为社交网站创造最多的收入。 在向成员展示广告时，网站可以通过从接收到的广告中选择一个可以最大化广告预期价值的广告来优化广告收入。

    System and method for invitation targeting in a web-based social network
    2.
    发明申请
    System and method for invitation targeting in a web-based social network 审中-公开
    在基于网络的社交网络中进行邀请定位的系统和方法

    公开(公告)号：US20090049127A1

    公开(公告)日：2009-02-19

    申请号：US11893797

    申请日：2007-08-16

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    IPC分类号： G06F15/16

    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。

    System And Method For Invitation Targeting In A Web-Based Social Network
    3.
    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

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    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
    4.
    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

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    IPC分类号： G06N5/00

    CPC分类号： G06Q50/01 ,  G06Q10/10 ,  G06Q30/0201 ,  G06Q30/0269 ,  H04L67/306

    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。

    Predicting User Responses to Invitations in a Social Networking System Based on Keywords in User Profiles
    5.
    发明申请
    Predicting User Responses to Invitations in a Social Networking System Based on Keywords in User Profiles 有权
    基于用户配置文件中的关键字预测用户对社交网络系统中的邀请的响应

    公开(公告)号：US20110302160A1

    公开(公告)日：2011-12-08

    申请号：US13214211

    申请日：2011-08-21

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    IPC分类号： G06F17/30

    CPC分类号： G06Q50/01 ,  G06Q10/10 ,  G06Q30/0201 ,  G06Q30/0269 ,  H04L67/306

    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。

    Targeting Advertisements in a Social Network
    6.
    发明申请
    Targeting Advertisements in a Social Network 审中-公开
    针对社交网络中的广告

    公开(公告)号：US20100324990A1

    公开(公告)日：2010-12-23

    申请号：US12853242

    申请日：2010-08-09

    申请人： Adam D'Angelo ,  Aditya Agarwal ,  Kang-Xing Jin ,  Yun-Fang Juan ,  Levy Klots ,  Oleksandr Moskalyuk ,  Yishan Wong

    发明人： Adam D'Angelo ,  Aditya Agarwal ,  Kang-Xing Jin ,  Yun-Fang Juan ,  Levy Klots ,  Oleksandr Moskalyuk ,  Yishan Wong

    IPC分类号： G06Q30/00

    CPC分类号： H04L67/306 ,  G06Q10/10 ,  G06Q30/02 ,  G06Q30/0247 ,  G06Q30/0251 ,  G06Q30/0258 ,  G06Q30/0269 ,  G06Q40/04 ,  H04L67/18 ,  H04L67/22 ,  H04W4/029

    摘要： A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website presents targeted ads based on actions by the member and one or more characteristics of the member. The social networking website maintains a profile associated with the member which describes characteristics of the member, such as age, geographic location, employment, educational history and interests. The social networking website compares the member profile to targeting criteria for a plurality of advertising requests and determines the advertising requests that match the member profile and generate the most revenue for the social networking website. When presenting a member with an ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the ad.

    摘要翻译： 社交网站记录有关网站成员采取的行动的信息。 对于网站的特定成员，网站根据会员的行为和会员的一个或多个特征提供有针对性的广告。 社交网站维护与成员有关的简介，描述会员的特征，如年龄，地理位置，就业，教育历史和兴趣。 社交网站将成员简档与多个广告请求的定位标准进行比较，并确定与成员简档匹配的广告请求，并为社交网站创造最多的收入。 在向成员展示广告时，网站可以通过从接收到的广告中选择一个可以最大化广告预期价值的广告来优化广告收入。

    Prediction of user response to invitations in a social network system based on keywords in the user's profile
    7.
    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

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    IPC分类号： G06Q10/10 ,  H04L29/08 ,  G06Q50/00

    CPC分类号： G06Q50/01 ,  G06Q10/10 ,  G06Q30/0201 ,  G06Q30/0269 ,  H04L67/306

    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。

    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

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    IPC分类号： G06F17/30

    CPC分类号： G06Q50/01 ,  G06Q10/10 ,  G06Q30/0201 ,  G06Q30/0269 ,  H04L67/306

    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。

    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

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    IPC分类号： G06F17/30

    CPC分类号： G06Q50/01 ,  G06Q10/10 ,  G06Q30/0201 ,  G06Q30/0269 ,  H04L67/306

    摘要： 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.

    摘要翻译： 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

    申请人： Yun-Fang Juan ,  Kang-Xing Jin

    发明人： Yun-Fang Juan ,  Kang-Xing Jin

    IPC分类号： G06F17/30

    CPC分类号： G06Q50/01 ,  G06Q10/10 ,  G06Q30/0201 ,  G06Q30/0269 ,  H04L67/306

    摘要： 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.

    摘要翻译： 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。