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111. 发明申请

US20170060928A1 PRIORITIZING KEYWORDS 审中-公开
标题翻译：重点关键词
公开(公告)号：US20170060928A1
公开(公告)日：2017-03-02
申请号：US14856443
申请日：2015-09-16
申请人： LinkedIn Corporation
发明人： Krishnaram Kenthapadi , Huan Van Hoang , Yan Liu , Zachary Mason Roth
IPC分类号： G06F17/30
CPC分类号： G06F16/23 , G06F16/248 , G06F16/635 , G06F16/951
摘要： A search engine optimization system is provided with an on-line social network system. The on-line social network system includes or is in communication with a search engine optimization (SEO) system that is configured to prioritize keywords (potential search terms) based on their respective predicted contribution to the ranking of JSERPs. The value of a job-related keyword is expressed as a priority score assigned to that keyword. The SEO system generates priority scores for different keywords, using a probabilistic model that takes into account a value expressing how likely the keyword is to be included in a search query as a search term and/or a value expressing how likely is a search that includes the keyword as a search term is to produce relevant results.
摘要翻译：搜索引擎优化系统具有在线社交网络系统。在线社交网络系统包括或正在与搜索引擎优化（SEO）系统进行通信，所述搜索引擎优化（SEO）系统被配置为基于其对JSERP的排名的相应预测贡献来对关键词（潜在搜索词）进行优先级排序。作业相关关键字的值表示为分配给该关键字的优先级。 SEO系统为不同的关键词生成优先级分数，使用概率模型，该概率模型考虑了表示将关键字作为搜索项包含在搜索查询中的可能性的值，和/或表示包括的搜索的可能性的值作为搜索词的关键字是产生相关结果。

112. 发明授权

US09576326B2 Identification of a propagator-type leader in a social network 有权
标题翻译：识别社交网络中的传播者型领导者
公开(公告)号：US09576326B2
公开(公告)日：2017-02-21
申请号：US14298777
申请日：2014-06-06
申请人： LinkedIn Corporation
发明人： Christina Yip Chung , Allen Blue
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06 , G06Q50/00 , G06Q10/10
CPC分类号： G06N7/005 , G06N99/005 , G06Q10/101 , G06Q50/01 , H04L67/22
摘要： Techniques for identification of a propagator-type leader in a social network are described. According to various embodiments, a specific content item posted by a particular actor of a plurality of actors and interactions by other actors of the plurality of actors with the specific content item are identified. A leadership score associated with the particular actor is calculated, the leadership score indicating a propensity of the particular actor to spread information among the plurality of actors of the online social network service. The particular actor is then classified as an information propagator among the plurality of actors of the online social network service, based on the calculated leadership score.
摘要翻译：描述了用于在社交网络中识别传播者类型的领导者的技术。根据各种实施例，识别由多个角色的特定演员发布的特定内容项目以及具有特定内容项目的多个演员的其他演员的交互。计算与特定演员相关联的领导分数，领导分数表示特定演员在在线社交网络服务的多个角色之间传播信息的倾向。然后根据所计算的领导分数将特定的演员分类为在线社交网络服务的多个角色中的信息传播者。

113. 发明授权

US09576247B2 Adaptive pairwise preferences in recommenders 有权
标题翻译：推荐者的自适应成对偏好
公开(公告)号：US09576247B2
公开(公告)日：2017-02-21
申请号：US14052705
申请日：2013-10-12
申请人： LinkedIn Corporation
发明人： Suhrid Balakrishnan , Sumit Chopra
IPC分类号： G06F15/18 , G06N99/00 , G06Q30/02 , G06Q30/06
CPC分类号： G06N5/027 , G06F17/18 , G06F17/30979 , G06N7/005 , G06N99/005 , G06Q30/0203 , G06Q30/0631
摘要： Methods, systems, and products adapt recommender systems with pairwise feedback. A pairwise question is posed to a user. A response is received that selects a preference for a pair of items in the pairwise question. A latent factor model is adapted to incorporate the response, and an item is recommended to the user based on the response.
摘要翻译：方法，系统和产品适应具有成对反馈的推荐系统。一个成对的问题是向用户提出的。收到一个响应，选择对成对问题中的一对项目的偏好。潜在因素模型适用于纳入响应，并且基于响应向用户推荐项目。

114. 发明申请

US20170046627A1 USING MACHINE LEARNING TECHNIQUES TO DETERMINE PROPENSITIES OF ENTITIES IDENTIFIED IN A SOCIAL GRAPH 审中-公开
标题翻译：使用机器学习技术来确定在社会图表中标识的实体的特性
公开(公告)号：US20170046627A1
公开(公告)日：2017-02-16
申请号：US15233753
申请日：2016-08-10
申请人： LinkedIn Corporation
发明人： Donald E. Flood , Russell M. Glass
IPC分类号： G06N99/00 , G06Q30/06 , G06Q50/00
CPC分类号： G06N20/00 , G06F16/9535 , G06Q30/0269 , G06Q30/0601 , G06Q50/01 , H04L67/02 , H04L67/10 , H04L67/306
摘要： A system and method for automatically identifying online entities using machine learning techniques are provided. Entity profile data of a first set of entities is used to train a statistical model and entity profile data of a second set of entities is used, in conjunction with the statistical model, to identify a subset of the second set of entities. Certain electronic content is then transmitted over a computer network to entities in the subset through one or more content delivery channels.
摘要翻译：提供了一种使用机器学习技术自动识别在线实体的系统和方法。第一组实体的实体简档数据用于训练统计模型，并且结合统计模型使用第二组实体的实体简档数据来识别第二组实体的子集。然后，某些电子内容通过计算机网络通过一个或多个内容传送通道传送到子集中的实体。

115. 发明申请

US20170032323A1 ESTIMATING EFFECTS OF COURSES 审中-公开
标题翻译：估计课程的影响
公开(公告)号：US20170032323A1
公开(公告)日：2017-02-02
申请号：US14814403
申请日：2015-07-30
申请人： LinkedIn Corporation
发明人： Aman Grover , Siyu You , Krishnaram Kenthapadi , Parul Jain , Fedor Vladimirovich Borisyuk , Christopher Matthew Degiere , Songtao Guo
IPC分类号： G06Q10/10
CPC分类号： G06Q10/1053 , G06Q50/2057
摘要： A member profile including a vector containing a field for each of a plurality of skills and a rating of one or more of the skills in the vector for a member of a social networking service is obtained. A first distance indicating a vector distance between the vector of the member profile and a vector of a hypothetical member profile representing the perfect job candidate is obtained. A hypothetical member profile for the member is created by combining the vector of the member profile with the indication of how each of the one or more skills is improved through taking the course from course information. A second distance between the member and the hypothetical perfect candidate for the job is obtained, and the difference between the first distance and the second distance is calculated to determine an estimate of how much the course will increase the member's job chances.
摘要翻译：获得包括对于多个技能中的每一个的包含字段的向量的成员简档，以及针对社交网络服务的成员的向量中的一种或多种技能的评级。获得指示成员简档的矢量与表示完美作业候选的假想成员轮廓的矢量之间的矢量距离的第一距离。通过将成员简档的向量与通过从课程信息中获取课程来改进每个技能的指示来创建该成员的假设成员简档。获得该成员与该工作的假设完美候选人之间的第二距离，并计算第一距离与第二距离之间的差异，以确定该课程将增加成员工作机会的程度。

116. 发明申请

US20170032264A1 FEEDS BY MODELLING SCROLLING BEHAVIOR 审中-公开
标题翻译：通过建模滚动行为进行投入
公开(公告)号：US20170032264A1
公开(公告)日：2017-02-02
申请号：US14814104
申请日：2015-07-30
申请人： LinkedIn Corporation
发明人： Guanfeng LIANG , Shaunak CHATTERJEE , Romer ROSALES
IPC分类号： G06N5/04 , G06N99/00
CPC分类号： G06N5/048 , G06F17/3089 , G06N5/02 , G06N99/005
摘要： A method and apparatus for populating content items into a feed is provided. The feed comprises a sequence of content item ordered in such a way as to maximize a number of content items displayed to a user by virtue of the user scrolling down through the feed. The content items are each associated with a click-through rate, an indication of a number of times the content has been displayed to users, an indication of a number of times that the users have scrolled to a next item in the feed after the item was displayed, and a height of the content item. These values are used to train a behavioral model and then used by the behavioral model to layout the content items in a feed rendered at a user device.
摘要翻译：提供了一种用于将内容项填充到馈送中的方法和装置。馈送包括以这样的方式排序的内容项序列，以便通过用户向下滚动通过馈送来最大化显示给用户的内容项目的数量。内容项目分别与点击率，内容已经向用户显示的次数的指示相关联，用户已经滚动到项目中的馈送中的下一个项目的次数的指示被显示，内容项的高度。这些值用于训练行为模型，然后由行为模型使用，以将用户设备中呈现的Feed中的内容项目进行布局。

117. 发明授权

US09558613B2 Social network interaction via games 有权
标题翻译：通过游戏进行社交网络互动
公开(公告)号：US09558613B2
公开(公告)日：2017-01-31
申请号：US15185399
申请日：2016-06-17
申请人： LinkedIn Corporation
发明人： Dipchand Nishar , Siva Visakan Sooriyan , Mauroof Ahmed , Sumanth Kolar , Piyush Nitin Gadigone
IPC分类号： A63F9/24 , A63F13/00 , G07F17/32 , A63F13/355
CPC分类号： G07F17/3211 , A63F13/12 , A63F13/30 , A63F13/355 , A63F13/65 , A63F13/795 , A63F13/798 , A63F2300/8064 , G07F17/326
摘要： Techniques for enabling members to learn about and interact with their social network via games are described. According to various embodiments, it is determined that a content item or entity associated with an online social network service is relevant to a member of the online social network service. An online game including a game question and a correct game answer is generated based on the content item or entity. The game question is then displayed to the member, and a member response to the displayed game question is received. Thereafter, a game result is displayed, and the member is enabled to interact with the content item or entity.
摘要翻译：描述了通过游戏使成员学习和与社交网络交互的技术。根据各种实施例，确定与在线社交网络服务相关联的内容项目或实体与在线社交网络服务的成员相关。基于内容项目或实体生成包括游戏问题和正确的游戏答案的在线游戏。然后游戏问题被显示给会员，并且接收到对显示的游戏问题的成员回复。此后，显示游戏结果，并且该成员能够与内容项目或实体交互。

118. 发明申请

US20170004531A1 ADVERTISEMENT SELECTION USING INFORMATION RETRIEVAL SYSTEMS 审中-公开
标题翻译：使用信息检索系统的广告选择
公开(公告)号：US20170004531A1
公开(公告)日：2017-01-05
申请号：US14788600
申请日：2015-06-30
申请人： LinkedIn Corporation
发明人： Gururaj Seetharama , Apurva Rajiv Mehta , Dmytro Andriyovich Ivchenko , Sriram Sankar , Swetha Nagabhushan Karthik , Christos Koufogiannakis
IPC分类号： G06Q30/02 , G06F17/30
CPC分类号： G06Q30/0256 , G06F16/9535
摘要： Disclosed in some examples are methods, systems, and machine readable mediums which allow for fast and efficient advertisement selection using search indices. Selection criteria of the advertisement campaigns are converted into documents using a conversion schema. The documents are then indexed to create an advertising campaign index. Member profile data is then converted into a member search query using the conversion schema. The member search query is then issued to a search engine which uses the advertising campaign index to find matching campaigns.
摘要翻译：在一些示例中公开了允许使用搜索索引快速且有效地进行广告选择的方法，系统和机器可读介质。使用转换模式将广告活动的选择标准转换为文档。然后将这些文件编入索引以创建广告活动索引。然后使用转换模式将会员资料数据转换成成员搜索查询。然后，成员搜索查询被发布到使用广告活动索引的搜索引擎来找到匹配的活动。

119. 发明申请

US20170004135A1 CONTENT SOURCE THROTTLING IN A SOCIAL NETWORKING SERVICE 审中-公开
标题翻译：内容来源在社交网络服务中的转折
公开(公告)号：US20170004135A1
公开(公告)日：2017-01-05
申请号：US15084780
申请日：2016-03-30
申请人： LinkedIn Corporation
发明人： Keith O. Langston , Chi Chan
IPC分类号： G06F17/30 , H04L12/58
CPC分类号： G06F16/24578 , H04L51/32
摘要： A system and a method includes determining, with a processor, for each of a plurality of processor-implemented content item sources, an output quality metric based on activity data related to actions accessed from an electronic data storage related to content items previously output by a respective content item source, determining, for each of the ranked lists, based on the output quality metric of the respective content item source, a number of content items of the ranked list eligible for output to a user device, and outputting content items for display on a user interface according to the eligible content items of the ranked lists. Each of the content item sources are configured to output a ranked list of content items stored in the electronic data storage according to a ranking schema different for each of the content item sources.
摘要翻译：一种系统和方法包括：利用处理器，针对多个处理器实现的内容项目源中的每一个确定基于与从先前由以下输出的内容项目相关的电子数据存储器访问的动作相关的活动数据的输出质量度量各个内容项目源，基于各个内容项目源的输出质量度量确定排序列表中的每一个，适合输出到用户设备的排名列表的内容项目的数量，以及输出用于显示的内容项目根据排名列表的合格内容项目在用户界面上。每个内容项目源被配置为根据对于每个内容项目源不同的排名模式输出存储在电子数据存储器中的内容项目的排名列表。

120. 发明授权

US09530168B2 Reducing churn rate for a social network service 有权
标题翻译：降低社交网络服务的流失率
公开(公告)号：US09530168B2
公开(公告)日：2016-12-27
申请号：US13892117
申请日：2013-05-10
申请人： LinkedIn Corporation
发明人： Junghoon (Andrew) Ahn , Venu Javarappa , Lizabeth Li , Yurong Shi
IPC分类号： G06F17/30 , G06Q50/00 , G06Q10/10
CPC分类号： G06Q30/0201 , G06Q10/10 , G06Q50/01 , H04L67/22 , H04L67/306 , H04L67/34
摘要： Systems and methods for reducing a churn rate associated with subscribers of social network services are described. In some example embodiments, the systems and methods may access activity information associated with a former subscriber of a social network service, compare the accessed activity information to activity information associated with subscribers of the social network service, identify one or more differences between the activity information associated with the former subscriber of the social network service and the activity information associated with the subscribers of the social network service, and perform an action based on the identified one or more differences.
摘要翻译：描述了用于降低与社交网络服务订户相关联的流失率的系统和方法。在一些示例性实施例中，系统和方法可以访问与社交网络服务的前一用户相关联的活动信息，将所访问的活动信息与与社交网络服务的订户相关联的活动信息进行比较，识别活动信息之间的一个或多个差异与社交网络服务的前用户相关联的活动信息和与社交网络服务的用户相关联的活动信息，并且基于所识别的一个或多个差异执行动作。

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