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1. 发明授权

US10171335B2 Analysis of site speed performance anomalies caused by server-side issues 有权
公开(公告)号：US10171335B2
公开(公告)日：2019-01-01
申请号：US14956131
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Toon Sripatanaskul , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： H04L12/26 , H04L12/24
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a component of a time-series performance metric associated with a server-side root cause of an anomaly in the time-series performance metric. Next, the system obtains a call graph representation of the component, wherein the call graph representation includes a parent node having a parent value of the component and a set of child nodes of the parent node, each child node having a corresponding child value of the component. The system then analyzes the call graph representation to identify one or more of the child nodes as sources of the anomaly. Finally, the system outputs an alert that identifies the sources of the anomaly.

2. 发明申请

US20170317964A1 SOCIAL INCENTIVE OPTIMIZATION IN ONLINE SOCIAL NETWORKS 审中-公开
公开(公告)号：US20170317964A1
公开(公告)日：2017-11-02
申请号：US15140778
申请日：2016-04-28
申请人： LinkedIn Corporation
发明人： Bee-Chung Chen , Guangde Chen , Deepak Agarwal
IPC分类号： H04L12/58 , H04L29/08
CPC分类号： H04L51/32 , H04L51/12 , H04L51/16 , H04L67/02 , H04L67/22 , H04L67/306 , H04L67/42
摘要： A social networking system receives from a member an item for sharing on the social networking system. The system determines whether the item for sharing is a first sharing for the member or whether the member has not shared an item for a time period that transgresses a threshold. When the item for sharing is a first sharing or a sharing that transgresses the threshold, the system marks the item for a promotion in a feed of another member of the social networking system.

3. 发明申请

US20170155537A1 ROOT CAUSE INVESTIGATION OF SITE SPEED PERFORMANCE ANOMALIES 审中-公开
公开(公告)号：US20170155537A1
公开(公告)日：2017-06-01
申请号：US14956137
申请日：2015-12-01
申请人： LinkedIn Corporation
发明人： Ritesh Maheshwari , Liang Zhang , Yang Yang , Jieying Chen , Toon Sripatanaskul , Ruixuan Hou , Steven S. Noble , David Q. He , Sanjay S. Dubey , Deepak Agarwal
IPC分类号： H04L12/24
CPC分类号： H04L41/064 , H04L43/08
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of components of a time-series performance metric associated with an anomaly in a performance of one or more monitored systems. For each component in the set of components, the system performs a statistical hypothesis test on the component to assess a deviation of the component from a baseline value of the component. When the statistical hypothesis test identifies a statistically significant deviation of the component from the baseline value, the system outputs an alert comprising a root cause of the anomaly that is represented by the statistically significant deviation of the component from the baseline value.

4. 发明申请

US20150213119A1 SYSTEM AND METHOD FOR IDENTIFYING TRENDING TOPICS IN A SOCIAL NETWORK 有权
标题翻译：用于识别社交网络中趋势主题的系统和方法
公开(公告)号：US20150213119A1
公开(公告)日：2015-07-30
申请号：US14168853
申请日：2014-01-30
申请人： LinkedIn Corporation
发明人： Deepak Agarwal , Bee-Chung Cheng
IPC分类号： G06F17/30
CPC分类号： G06F17/3071 , G06F17/30194 , G06F17/3053 , G06F17/30705 , G06F17/30867 , G06Q10/10 , G06Q50/01
摘要： A system and method may include an electronic data storage configured to store content items and an established category with which a first subset of the content items are associated. The system may further include a processor, coupled to the electronic data storage, configured to generate a new category different than the established category and related to a second subset of the content items based, at least in part, on a relationship of the content items of the second subset with respect to one another, identify a statistic related to an inclusion of at least some of the content items of at least one of the first subset and the second subset into a social network by users of the social network, and cause information related to the statistic to be displayed on a user interface.
摘要翻译：系统和方法可以包括被配置为存储内容项的电子数据存储和与内容项的第一子集相关联的建立的类别。系统还可以包括耦合到电子数据存储器的处理器，其被配置为至少部分地基于内容项目的关系来生成不同于所建立的类别并且与内容项目的第二子集相关的新类别的第二子集相对于彼此，识别与社会网络的用户将至少一个第一子集和第二子集中的至少一个的内容项目包含在社交网络中的统计量，并且导致与要在用户界面上显示的统计信息相关的信息。

5. 发明申请

US20150213022A1 SYSTEM AND METHOD FOR IDENTIFYING TRENDING TOPICS IN A SOCIAL NETWORK 有权
标题翻译：用于识别社交网络中趋势主题的系统和方法
公开(公告)号：US20150213022A1
公开(公告)日：2015-07-30
申请号：US14168924
申请日：2014-01-30
申请人： LinkedIn Corporation
发明人： Deepak Agarwal , Bee-Chung Cheng
IPC分类号： G06F17/30 , H04L29/06 , H04L29/08
CPC分类号： G06F17/3053 , G06F17/30525 , G06F17/30528 , G06F17/30867 , G06Q10/10 , G06Q50/01 , H04L67/22
摘要： A system and method optionally includes an electronic data storage configured to store content items introduced to a social network by a first user and to store interactions with the content items by second user of the social network. The system further includes a processor, coupled to the electronic data storage, configured to determine an influence of the first user based, at least in part, on the interaction by the second user with at least one of the content items as introduced by the first user and a characteristic of the second user and cause an indication of the influence of the first user to be displayed on a user interface.
摘要翻译：系统和方法可选地包括电子数据存储器，其被配置为存储由第一用户引入到社交网络的内容项目，并且存储与该社交网络的第二用户的内容项目的交互。该系统还包括耦合到电子数据存储器的处理器，其被配置为至少部分地基于第二用户与由第一用户引入的至少一个内容项的交互来确定第一用户的影响用户和第二用户的特征，并且引起要在用户界面上显示第一用户的影响的指示。

6. 发明授权

US08930301B2 Systems and methods for content response prediction 有权
标题翻译：内容响应预测的系统和方法
公开(公告)号：US08930301B2
公开(公告)日：2015-01-06
申请号：US13906874
申请日：2013-05-31
申请人： LinkedIn Corporation
发明人： Jonathan David Traupman , Deepak Agarwal , Liang Zhang , Bo Long , Frank Emmanuel Astier
IPC分类号： G06N5/02 , G06N5/04 , G06N99/00
CPC分类号： G06N5/048 , G06F17/30286 , G06N5/02 , G06N7/005 , G06N99/005 , G06Q50/01 , H04L51/00 , H04L51/32
摘要： Techniques for predicting a user response to content are described. According to various embodiments, a configuration file is accessed, where the configuration file includes a user-specification of raw data accessible via external data sources and raw data encoding rules. In some embodiments, the raw data includes raw member data associated with a particular member and raw content data associated with a particular content item. Thereafter, source modules encode the raw data from the external data sources into feature vectors, based on the raw data encoding rules. An assembler module assembles one or more of the feature vectors into an assembled feature vector, based on user-specified assembly rules included in the configuration file. A prediction module performs a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item.
摘要翻译：描述用于预测用户对内容的响应的技术。根据各种实施例，访问配置文件，其中配置文件包括可经由外部数据源和原始数据编码规则访问的原始数据的用户指定。在一些实施例中，原始数据包括与特定成员相关联的原始成员数据和与特定内容项目相关联的原始内容数据。此后，源模块基于原始数据编码规则将来自外部数据源的原始数据编码为特征向量。汇编器模块根据用户指定的组态规则将配置文件中包含的一个或多个特征向量组装成组合的特征向量。预测模块基于组合的特征向量和预测模型执行预测建模过程，以预测特定成员对特定内容项目执行特定用户动作的可能性。

7. 发明授权

US10102503B2 Scalable response prediction using personalized recommendation models 有权
公开(公告)号：US10102503B2
公开(公告)日：2018-10-16
申请号：US15145061
申请日：2016-05-03
申请人： LinkedIn Corporation
发明人： XianXing Zhang , Yitong Zhou , Yiming Ma , Bee-Chung Chen , Liang Zhang , Deepak Agarwal
IPC分类号： G06Q10/10 , G06F17/30
摘要： The disclosed embodiments provide a system for processing data. During operation, the system obtains a global version of a statistical model and a user-specific version of the statistical model for a user. Next, the system applies the global version to member features of the user and job features of a set of jobs to generate a first ranking of the jobs for the user. The system then applies the user-specific version to the member features and the job features for a highest-ranked subset of jobs in the first ranking to generate a second ranking of the jobs for the user. Finally, the system outputs at least a portion of the second ranking as a set of job recommendations.

8. 发明申请

US20180089192A1 USING POTENTIAL INTERACTIONS TO IMPROVE SUBSEQUENT SOCIAL NETWORK ACTIVITY 审中-公开
公开(公告)号：US20180089192A1
公开(公告)日：2018-03-29
申请号：US15275201
申请日：2016-09-23
申请人： LinkedIn Corporation
发明人： Shaunak Chatterjee , Shilpa Gupta , Aastha Jain , Myunghwan Kim , Souvik Ghosh , Romer E. Rosales-Delmoral , Deepak Agarwal
IPC分类号： G06F17/30
CPC分类号： G06Q10/101 , G06Q50/01 , H04L51/32
摘要： The disclosed embodiments provide a system for facilitating interaction within a social network. During operation, the system obtains a set of features associated with two members of a social network, wherein the features comprise a member feature and an activity feature. Next, the system analyzes the features to predict an effect of a potential interaction between the two members on subsequent interactions between the two members in the social network. The system then uses the predicted effect to generate output for modulating the subsequent interactions in the social network.

9. 发明申请

US20170221008A1 ENTITY-AWARE FEATURES FOR PERSONALIZED JOB SEARCH RANKING 审中-公开
公开(公告)号：US20170221008A1
公开(公告)日：2017-08-03
申请号：US15488099
申请日：2017-04-14
申请人： Linkedin Corporation
发明人： Jia Li , Dhruv Arya , Shakti Dhirendraji Sinha , Viet Thuc Ha , Deepak Agarwal
IPC分类号： G06Q10/10 , G06F17/30 , G06N5/04 , H04L29/08
CPC分类号： G06Q10/1053 , G06F16/951 , G06N5/04 , G06Q10/105 , G06Q50/01 , H04L67/306
摘要： In an example, a plurality of member profiles in a social networking service are obtained, each member profile identifying a member and listing one or more skills the corresponding member has explicitly added to the member profile, the one or more skills indicating a proficiency by the member in the corresponding skill. A members-skills matrix is formed, wherein each cell in the matrix is assigned a value based on whether the corresponding member has the corresponding skill. The dot product of the members matrix and the skills matrix is then computed and used to identify one or more latent skills of a first member of the social networking service. Then a first digitally stored member profile is augmented with the one or more latent skills by combining the one or more latent skills with explicit skills for purposes of one or more searches that utilize member skills as an input variable.

10. 发明申请

US20160217540A1 DETERMINING A SCHOOL RANK UTILIZING PERTURBED DATA SETS 审中-公开
标题翻译：确定使用PERTURBED数据集的学校排名
公开(公告)号：US20160217540A1
公开(公告)日：2016-07-28
申请号：US14606920
申请日：2015-01-27
申请人： LinkedIn Corporation
发明人： Nikita Igorevych Lytkin , Navneet Kapur , Ryan Wade Sandler , Bee-Chung Chen , Deepak Agarwal
IPC分类号： G06Q50/20 , G06Q30/02 , G06F17/30
CPC分类号： G06Q50/2053 , G06Q30/0201
摘要： A school ranking system may be configured to determine a rank of a school based on career outcomes data, which may be obtained from member profile data stored by an on-line social network system. Schools may be ranked on the basis of proportions of their graduates who obtained employment at some of the most desirable companies for a given profession or occupation. In order to make university rankings robust to potential noise in company desirability, a large number of perturbed sets of desirable companies are generated by repeatedly substituting a subset of companies from the set of desirable companies with companies outside that set.
摘要翻译：学校排名系统可以被配置为基于职业结果数据来确定学校的排名，这可以从在线社交网络系统存储的成员简档数据获得。学校可能会根据毕业生的比例进行排名，他们为某些专业或职业在某些最理想的公司获得就业机会。为了使大学排名对公司的可取性产生潜在的噪音，大量的受干扰的一组理想的公司是通过反复替代来自该组合的公司的一小部分公司产生的。

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