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1. 发明申请

US20140019233A1 UNIFIED AUCTION MODEL FOR SUGGESTING RECOMMENDATION UNITS AND AD UNITS 审中-公开
标题翻译：推荐建议单位和AD单位的统一拍卖模式
公开(公告)号：US20140019233A1
公开(公告)日：2014-01-16
申请号：US13549080
申请日：2012-07-13
申请人： Andrey Goder , David Ye , Yanxin Shi , John Hegeman
发明人： Andrey Goder , David Ye , Yanxin Shi , John Hegeman
IPC分类号： G06Q30/02
摘要： A social networking system presents advertisements and recommendation units to its users. The recommendation units suggest actions for the users to increase their engagement with the social networking system or otherwise interact with other users, while the social networking system receives revenue from advertisers for displaying advertisements based on bid values associated with the advertisements. The social networking system determines values for the advertisements and for the recommendation units, where the values are measured in a comparable fashion. This allows the system to rank and select the advertisements and recommendation units together in a unified auction model. For example, the social networking system uses a pacing value to determine values of recommendation units having a common unit of measurement with expected values of advertisements to the social networking system.
摘要翻译：社交网络系统向用户展示广告和推荐单位。推荐单元建议用户增加他们与社交网络系统的参与或者与其他用户交互的动作，而社交网络系统根据与广告相关联的出价值从广告商收到用于显示广告的收入。社交网络系统确定广告和推荐单位的价值，其中值以可比较的方式测量。这允许系统在统一的拍卖模型中对广告和推荐单元进行排名和选择。例如，社交网络系统使用起搏值来确定具有与社交网络系统的广告的预期值的具有公共测量单位的推荐单元的值。

2. 发明授权

US09773063B2 Real-time online-learning object recommendation engine 有权
公开(公告)号：US09773063B2
公开(公告)日：2017-09-26
申请号：US13313984
申请日：2011-12-07
申请人： Yanxin Shi , Andrey Goder , David Ye
发明人： Yanxin Shi , Andrey Goder , David Ye
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： In one embodiment, a system includes one or more computing systems that implement a social networking environment containing a large number of heterogeneous objects type, each of the plurality of object types having varying features, the system implementing a generic object recommendation engine for scoring objects and recommending the objects to users of the social networking system. In particular embodiments, the user and content object features are fed as inputs into a heuristic model that generates an expected value for the content object and user. In particular embodiments, the object recommendation engine includes an online learner that may log a user's actions after the initial impression to determine the relatively degree of interest to the user.

3. 发明申请

US20130151539A1 Real-Time Online-Learning Object Recommendation Engine 有权
标题翻译：实时在线学习对象推荐引擎
公开(公告)号：US20130151539A1
公开(公告)日：2013-06-13
申请号：US13313984
申请日：2011-12-07
申请人： Yanxin Shi , Andrey Goder , David Ye
发明人： Yanxin Shi , Andrey Goder , David Ye
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： In one embodiment, a system includes one or more computing systems that implement a social networking environment containing a large number of heterogeneous objects type, each of the plurality of object types having varying features, the system implementing a generic object recommendation engine for scoring objects and recommending the objects to users of the social networking system. In particular embodiments, the user and content object features are fed as inputs into a heuristic model that generates an expected value for the content object and user. In particular embodiments, the object recommendation engine includes an online learner that may log a user's actions after the initial impression to determine the relatively degree of interest to the user.
摘要翻译：在一个实施例中，系统包括实现包含大量异构对象类型的社交网络环境的一个或多个计算系统，所述多个对象类型中的每一个具有不同的特征，所述系统实现用于评分对象的通用对象推荐引擎，向社交网络系统的用户推荐对象。在特定实施例中，用户和内容对象特征作为输入被馈送到产生内容对象和用户的期望值的启发式模型中。在特定实施例中，对象推荐引擎包括在线学习者，其可以在初始印象之后记录用户的动作以确定对用户的相对程度的兴趣。

4. 发明申请

US20130080523A1 INSTANTANEOUS RECOMMENDATION OF SOCIAL INTERACTIONS IN A SOCIAL NETWORKING SYSTEM 有权
标题翻译：社会互联系统社会互动的即时建议
公开(公告)号：US20130080523A1
公开(公告)日：2013-03-28
申请号：US13247825
申请日：2011-09-28
申请人： Yigal Dan Rubinstein , Srinivas P. Narayanan , Kent Schoen , Yanxin Shi , David Dawei Ye , Andrey Goder , Levy Klots , Robert Kang-Xing Jin , Alexey Spiridinov
发明人： Yigal Dan Rubinstein , Srinivas P. Narayanan , Kent Schoen , Yanxin Shi , David Dawei Ye , Andrey Goder , Levy Klots , Robert Kang-Xing Jin , Alexey Spiridinov
IPC分类号： G06F15/16
CPC分类号： H04L51/32 , G06Q10/107
摘要： As a user of a social networking system views a page that includes information provided by the system, certain types of social interactions are monitored. If an interaction monitored for is detected, at least one recommendation unit is identified to present to user on the page. The recommendation unit is identified based on a description of the interaction. The recommendation unit suggests that the user perform a social interaction in the social networking system. The recommendation unit is transmitted to a device of the user and is presented to the user on the page without having to reload the entire page.
摘要翻译：作为社交网络系统的用户，查看包含系统提供的信息的页面，监视某些类型的社交交互。如果检测到监视的交互，则识别出至少一个推荐单元向页面上的用户呈现。基于交互的描述来识别推荐单元。推荐单元建议用户在社交网络系统中进行社交互动。将推荐单元发送到用户的设备，并且在页面上呈现给用户，而不必重新加载整个页面。

5. 发明授权

US10572906B2 Unified auction model for suggesting recommendation units and ad units 有权
公开(公告)号：US10572906B2
公开(公告)日：2020-02-25
申请号：US13549080
申请日：2012-07-13
申请人： Andrey Goder , David Dawei Ye , Yanxin Shi , John Hegeman
发明人： Andrey Goder , David Dawei Ye , Yanxin Shi , John Hegeman
IPC分类号： G06Q30/02
摘要： A social networking system presents advertisements and recommendation units to its users. The recommendation units suggest actions for the users to increase their engagement with the social networking system or otherwise interact with other users, while the social networking system receives revenue from advertisers for displaying advertisements based on bid values associated with the advertisements. The social networking system determines values for the advertisements and for the recommendation units, where the values are measured in a comparable fashion. This allows the system to rank and select the advertisements and recommendation units together in a unified auction model. For example, the social networking system uses a pacing value to determine values of recommendation units having a common unit of measurement with expected values of advertisements to the social networking system.

6. 发明申请

US20130080524A1 INSTANTANEOUS RECOMMENDATION OF SOCIAL INTERACTIONS IN A SOCIAL NETWORKING SYSTEM 审中-公开
标题翻译：社会互联系统社会互动的即时建议
公开(公告)号：US20130080524A1
公开(公告)日：2013-03-28
申请号：US13247832
申请日：2011-09-28
申请人： Yigal Dan Rubinstein , Srinivas P. Narayanan , Kent Schoen , Yanxin Shi , David Dawei Ye , Andrey Goder , Levy Klots , Robert Kang-Xing Jin , Alexey Spiridinov
发明人： Yigal Dan Rubinstein , Srinivas P. Narayanan , Kent Schoen , Yanxin Shi , David Dawei Ye , Andrey Goder , Levy Klots , Robert Kang-Xing Jin , Alexey Spiridinov
IPC分类号： G06F15/16
CPC分类号： G06Q30/0282 , G06Q10/101
摘要： When a social interaction by a user in a social networking system is detected, a description of the interaction is created. A service level auction is performed to select one or more service modules to provide recommendation units from a plurality of service modules. Each of the plurality of service modules is configured to provide recommendation units that suggest that the user engage in a social interaction in the social networking system. The description of the interaction is provided to each service module selected and recommendation units are requested. A plurality of recommendation units are received from the selected service modules. A unit level auction is performed to select one of more recommendation units to present to the user from the plurality of recommendation units. The selected recommendation units are transmitted to a device of the user for presentation.
摘要翻译：当检测到社交网络系统中的用户的社交交互时，创建交互的描述。执行服务级别拍卖以选择一个或多个服务模块以从多个服务模块提供推荐单元。多个服务模块中的每一个被配置为提供建议单元，其建议用户参与社交网络系统中的社交交互。将交互的描述提供给所选择的每个服务模块，并且请求推荐单元。从所选择的服务模块接收多个推荐单元。执行单位级别拍卖，以从多个推荐单元中选择一个以上的推荐单元以呈现给用户。选择的推荐单元被发送到用户的设备以进行呈现。

7. 发明授权

US08650252B2 Instantaneous recommendation of social interactions in a social networking system 有权
标题翻译：在社交网络系统中即时推荐社交互动
公开(公告)号：US08650252B2
公开(公告)日：2014-02-11
申请号：US13247825
申请日：2011-09-28
申请人： Yigal Dan Rubinstein , Srinivas P. Narayanan , Kent Schoen , Yanxin Shi , David Dawei Ye , Andrey Goder , Levy Klots , Robert Kang-Xing Jin , Alexey Spiridinov
发明人： Yigal Dan Rubinstein , Srinivas P. Narayanan , Kent Schoen , Yanxin Shi , David Dawei Ye , Andrey Goder , Levy Klots , Robert Kang-Xing Jin , Alexey Spiridinov
IPC分类号： G06F15/16
CPC分类号： H04L51/32 , G06Q10/107
摘要： As a user of a social networking system views a page that includes information provided by the system, certain types of social interactions are monitored. If an interaction monitored for is detected, at least one recommendation unit is identified to present to user on the page. The recommendation unit is identified based on a description of the interaction. The recommendation unit suggests that the user perform a social interaction in the social networking system. The recommendation unit is transmitted to a device of the user and is presented to the user on the page without having to reload the entire page.
摘要翻译：作为社交网络系统的用户，查看包含系统提供的信息的页面，监视某些类型的社交交互。如果检测到监视的交互，则识别出至少一个推荐单元向页面上的用户呈现。基于交互的描述来识别推荐单元。推荐单元建议用户在社交网络系统中进行社交互动。将推荐单元发送到用户的设备，并且在页面上呈现给用户，而不必重新加载整个页面。

8. 发明申请

US20130325755A1 METHODS AND SYSTEMS FOR OPTIMIZING MESSAGES TO USERS OF A SOCIAL NETWORK 有权
标题翻译：用于优化社交网络用户的消息的方法和系统
公开(公告)号：US20130325755A1
公开(公告)日：2013-12-05
申请号：US13485784
申请日：2012-05-31
申请人： Lex Arquette , David Y. Chen , Emily Grewal , Denise Moreno , Florin Ratiu , Yanxin Shi , Kiranjit Singh Sidhu , Ching-Chih Weng , Huan Yang
发明人： Lex Arquette , David Y. Chen , Emily Grewal , Denise Moreno , Florin Ratiu , Yanxin Shi , Kiranjit Singh Sidhu , Ching-Chih Weng , Huan Yang
IPC分类号： G06F15/18
CPC分类号： H04L51/32 , G06N5/048 , G06N7/005 , G06Q30/02 , H04L67/10 , H04L67/22 , H04L67/306
摘要： Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
摘要翻译：优化发送给社交网络系统用户的消息的技术。在一个实施例中，关于用户的信息可以由社交网络系统收集。可以应用信息来训练用于确定用户响应于可为用户提供的候选消息的期望动作的可能性的模型。社交网络系统可以向候选消息提供具有引起期望动作的选择可能性的消息。

9. 发明申请

US20130124298A1 GENERATING CLUSTERS OF SIMILAR USERS FOR ADVERTISEMENT TARGETING 审中-公开
标题翻译：生成用于广告目标的类似用户的群集
公开(公告)号：US20130124298A1
公开(公告)日：2013-05-16
申请号：US13297117
申请日：2011-11-15
申请人： Huajing Li , Yanxin Shi , Rohit Dhawan , Richard Bill Sim , Rong Yan , David Dawei Ye
发明人： Huajing Li , Yanxin Shi , Rohit Dhawan , Richard Bill Sim , Rong Yan , David Dawei Ye
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0241
摘要： A social networking system may identify a first set of users as part of a training cluster and identify a second set of users that is similar to the first set of users for purposes of targeting advertisements related to the advertiser. Using past engagement history (e.g., click-through rates), demographic information, and keywords associated with the training cluster of users, a social networking system may generate a training model specific to the training cluster. Confidence scores may be used to identify similar users across the total population of users of the social networking system for creating a targeting cluster of users for the advertisement. A revenue sharing scheme may be used induce page administrators to increase their fan base by enabling advertisers to target advertisements to users that have expressed interest in pages associated with the page administrators.
摘要翻译：社交网络系统可以将第一组用户识别为训练集群的一部分，并且识别类似于第一组用户的第二组用户，用于定位与广告商相关的广告。使用过去的参与历史（例如，点击率），人口统计信息和与用户的训练群组相关联的关键词，社交网络系统可以生成训练集群特有的训练模型。置信度分数可用于识别社交网络系统的用户总数的类似用户，以创建用于广告的用户的目标群集。可以使用收益分享计划，引导页面管理员通过使广告商能够将广告定向到对与页面管理员相关联的页面感兴趣的用户来增加他们的粉丝基础。

10. 发明授权

US08924326B2 Methods and systems for optimizing messages to users of a social network 有权
标题翻译：用于优化消息给社交网络用户的方法和系统
公开(公告)号：US08924326B2
公开(公告)日：2014-12-30
申请号：US13485784
申请日：2012-05-31
申请人： Lex Arquette , David Y. Chen , Emily Grewal , Denise Moreno , Florin Ratiu , Yanxin Shi , Kiranjit Singh Sidhu , Ching-Chih Weng , Huan Yang
发明人： Lex Arquette , David Y. Chen , Emily Grewal , Denise Moreno , Florin Ratiu , Yanxin Shi , Kiranjit Singh Sidhu , Ching-Chih Weng , Huan Yang
IPC分类号： G06F17/00
CPC分类号： H04L51/32 , G06N5/048 , G06N7/005 , G06Q30/02 , H04L67/10 , H04L67/22 , H04L67/306
摘要： Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
摘要翻译：优化发送给社交网络系统用户的消息的技术。在一个实施例中，关于用户的信息可以由社交网络系统收集。可以应用信息来训练用于确定用户响应于可为用户提供的候选消息的期望动作的可能性的模型。社交网络系统可以向候选消息提供具有引起期望动作的选择可能性的消息。

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