公开(公告)号：US20170124472A1

公开(公告)日：2017-05-04

申请号：US14928028

申请日：2015-10-30

Applicant: LinkedIn Corporation

Inventor： Zhoutong Fu ,  Huangming Xie ,  Ying Chen ,  Xin Fu

IPC: G06N7/00 ,  G06F17/30

CPC classification number: G06N5/025 ,  G06Q30/02 ,  G06Q50/01

Abstract: System and techniques for activity sensing online preference assay are described herein. A count for an action completed by a member of a social network service may be detected over a first period of time. The member may be labeled with an online activity preference based on the count and a subset of the first period of time. A plurality of member activities corresponding with the online activity preference may be collected for a second period of time prior to obtaining the initial indication. Respective decision trees of a set of decision trees may be traversed based on a set of inputs comprising the collected plurality of member activities to determine a probability that the online activity preference corresponds with the member. An actual online activity preference may be derived for the member using an aggregation of the determined probability for the respective decision trees of the set of decision trees. Social network content items may be filtered for the member based on the actual online activity preference

公开(公告)号：US10262380B2

公开(公告)日：2019-04-16

申请号：US15253180

申请日：2016-08-31

Applicant: LinkedIn Corporation

Inventor： Xin Fu ,  Joonhyung Lim ,  Huangming Xie ,  Seyedehmina Doroud

IPC: G06F16/00 ,  G06Q50/00 ,  G06F16/9536 ,  G06Q30/02

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a count of actions associated with a member of a social network, wherein the count comprises a set of action types and a number of actions associated with the member for each of the action types. Next, the system uses the count to calculate a set of scores for measuring the value of the social network to the member, wherein the set of scores is associated with researching and contacting people, building a network, keeping up with connections, staying informed and building knowledge, establishing and managing a reputation, and getting hired. The system then outputs the scores for use in characterizing and improving the value of the social network for the member.

公开(公告)号：US20160210645A1

公开(公告)日：2016-07-21

申请号：US14599013

申请日：2015-01-16

Applicant: LinkedIn Corporation

Inventor： Yang Zhou ,  Lixin Feng ,  Yu Cao ,  Raviraj Jain ,  Alexis Baird ,  Xin Fu

IPC: G06Q30/02

CPC classification number: G06Q30/0203 ,  G06Q30/0201 ,  G06Q30/0269 ,  G06Q50/01

Abstract: Techniques for dynamically generating feedback based on contextual information and providing the feedback to a user are provided. A service provider determines, based on contextual information related to a user (such as personal information previously provided by the user) interactive data to display to the user. The type of interactive data may correspond to the type of personal information submitted by the user or derived by the service provider. The interactive data may be based on other users that have already registered with the service provider. In this way, a user is able to (1) view current and relevant information that is related to the user and (2) see the value that the user receives by providing additional personal information. Subsequent interactive data may be based on multiple personal data items that the service provider receives from the user. These techniques are also applicable after a user has registered with a service provider.

Abstract translation: 提供了基于上下文信息动态生成反馈并向用户提供反馈的技术。 服务提供商基于与用户相关的上下文信息（诸如由用户先前提供的个人信息）确定交互数据以向用户显示。 交互式数据的类型可以对应于由用户提交或由服务提供商派生的个人信息的类型。 交互式数据可以基于已经向服务提供商注册的其他用户。 以这种方式，用户能够（1）查看与用户相关的当前和相关信息，以及（2）通过提供附加的个人信息来查看用户收到的值。 随后的交互式数据可以基于服务提供商从用户接收的多个个人数据项。 这些技术在用户已经向服务提供商注册之后也适用。

公开(公告)号：US10104034B1

公开(公告)日：2018-10-16

申请号：US15085921

申请日：2016-03-30

Applicant: LinkedIn Corporation

Inventor： Damien Albert Louis Coullon ,  Brad C. Ciraulo ,  Joonhyung Lim ,  Bhavana Chowdary Challa ,  Da Huo ,  Yang Zhou ,  Xin Fu ,  Barry P. Huang

IPC: H04L12/58 ,  H04W4/14 ,  H04L29/08

Abstract: In order to invite individuals to join a social network, telephone contact information of a user of the social network is extracted, with the user's permission, from a phonebook associated with a telephone application on the user's portable electronic device. Then, the extracted telephone contact information is shared across different platforms to the user's desktop computer, and telephone numbers in the extracted telephone contact information are identified. These telephone numbers are associated with other portable electronic devices, and with individuals that are not currently members of the social network. After receiving confirmation of a telephone number from the user (e.g., via the desktop computer), the location of the associated portable electronic device is determined. Based on the telephone number and the location, an invitation to join the social network is conditionally provided to the portable electronic device, via a Short Message Service (SMS) message.

公开(公告)号：US20170031915A1

公开(公告)日：2017-02-02

申请号：US14815835

申请日：2015-07-31

Applicant: LinkedIn Corporation

Inventor： Drew Scott Baird Moxon ,  Xin Fu

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F16/24578 ,  H04L67/22 ,  H04L67/306 ,  H04W4/21

Abstract: A system and method for generating a profile value score to prioritize members for opportunities. The system receives a member opportunity request. In response, the system generates a list of members in response to the received member opportunity request, wherein the list of members is determined based on member profile data stored at a social networking system. For each member in the generated list of members, the system generates a profile value score based on the stored member profile data. The system ranks the members of the generated list at least in part based on the generated profile value scores. The system then selects one or more members in the list of members based on the ranking of members in the generated list.

Abstract translation: 一种用于生成简档值分数以使成员优先考虑机会的系统和方法。 系统收到成员机会请求。 作为响应，系统响应于所接收的成员机会请求生成成员列表，其中，基于存储在社交网络系统中的成员简档数据来确定成员列表。 对于生成的成员列表中的每个成员，系统将基于存储的成员简档数据生成配置文件值分数。 该系统至少部分地基于生成的简档值分数来对生成的列表的成员进行排名。 然后，该系统根据所生成的列表中的成员的排名来选择成员列表中的一个或多个成员。

公开(公告)号：US20180060434A1

公开(公告)日：2018-03-01

申请号：US15253180

申请日：2016-08-31

Applicant: LinkedIn Corporation

Inventor： Xin Fu ,  Joonhyung Lim ,  Huangming Xie ,  Seyedehmina Doroud

IPC: G06F17/30

CPC classification number: G06Q50/01 ,  G06Q30/0201

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a count of actions associated with a member of a social network, wherein the count comprises a set of action types and a number of actions associated with the member for each of the action types. Next, the system uses the count to calculate a set of scores for measuring the value of the social network to the member, wherein the set of scores is associated with researching and contacting people, building a network, keeping up with connections, staying informed and building knowledge, establishing and managing a reputation, and getting hired. The system then outputs the scores for use in characterizing and improving the value of the social network for the member.

公开(公告)号：US20170323269A1

公开(公告)日：2017-11-09

申请号：US15145469

申请日：2016-05-03

Applicant: LinkedIn Corporation

Inventor： Jason Schissel ,  Ken Soong ,  Carrie Zhuqing Peng ,  Lizabeth Li ,  Ling Lin ,  Joonhyung Lim ,  Xin Fu ,  Seyedehmina Doroud ,  Huangming Xie

IPC: G06Q10/10 ,  G06Q50/00 ,  G06F17/30

CPC classification number: G06Q10/1053 ,  G06F16/24578 ,  G06Q50/01

Abstract: A system determines an intent of a current user who is interacting with an online social networking system, and requests information from the current user based on the determined intent of the current user. The system then receives the requested information from the current user, and provides a service or information to the current user based on the intent of the current user and the information provided by the current user.

公开(公告)号：US09524481B2

公开(公告)日：2016-12-20

申请号：US14151517

申请日：2014-01-09

Applicant: LinkedIn Corporation

Inventor： Sathyanarayan Anand ,  Guangde Chen ,  Xin Fu

IPC: G06Q10/06 ,  G06Q50/00

CPC classification number: G06Q10/06398 ,  G06Q10/06375 ,  G06Q50/01

Abstract: The disclosed embodiments relate to a system for analyzing performance in an online professional network. During operation, the system receives time series data for user actions, wherein for each user action, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates a number of times the user action occurred during the time interval. The system also receives time series data for performance metrics, wherein for each performance metric, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates the number of times the performance metric occurred during the time interval. The system then performs a time series analysis on the received time series data for user actions and performance metrics to determine relationships between the user actions and the performance metrics.

Abstract translation: 所公开的实施例涉及用于分析在线专业网络中的性能的系统。 在操作期间，系统接收用于用户动作的时间序列数据，其中对于每个用户动作，时间序列数据包括与连续时间间隔相关联的一系列数字，其中给定的数字指示在该时间期间发生用户动作的次数 间隔。 系统还接收用于性能度量的时间序列数据，其中对于每个性能度量，时间序列数据包括与连续时间间隔相关联的一系列数字，其中给定数量指示在时间间隔期间发生性能度量的次数。 然后，系统对接收到的用户动作和性能指标的时间序列数据执行时间序列分析，以确定用户动作与绩效指标之间的关系。

公开(公告)号：US20160321592A1

公开(公告)日：2016-11-03

申请号：US14754051

申请日：2015-06-29

Applicant: LinkedIn Corporation

Inventor： Yang Zhou ,  Kyle Ramsay ,  Barry Huang ,  Xin Fu

IPC: G06Q10/06 ,  G06Q30/02

CPC classification number: G06Q10/06393 ,  G06Q30/0207

Abstract: A system, method, and apparatus are provided for promoting achievement of a goal within a professional community, such as an online professional network. A member is selected as a candidate for assistance based on her level of usage of the community and/or other factors, and a goal of the member may be learned explicitly or implicitly. Based on her goal and her level of proficiency within the community, which may be determined based on the number of discrete tasks or metrics she has accomplished, a set of milestones is suggest to her. The milestones are both related to the member's goal and customized to her level of proficiency. Upon completion of the milestones, she may be given a reward that is related to the goal.

Abstract translation: 提供了一种系统，方法和装置，用于促进在专业社区（如在线专业网络）中实现目标。 根据社区的使用水平和/或其他因素，选择一名成员作为援助候选人，并且可以明确或隐含地学习该成员的目标。 根据她的目标和她在社区内的熟练程度，这可以根据她完成的离散任务或指标的数量来确定，她建议了一系列里程碑。 里程碑与成员的目标相关，并根据自己的熟练程度定制。 在完成里程碑之后，她可能获得与目标相关的奖励。

公开(公告)号：US08694635B1

公开(公告)日：2014-04-08

申请号：US13907506

申请日：2013-05-31

Applicant: LinkedIn Corporation

Inventor： Sathyanarayan Anand ,  Guangde Chen ,  Xin Fu

IPC: G06F15/173 ,  G06Q99/00

CPC classification number: G06Q10/06398 ,  G06Q10/06375 ,  G06Q50/01

Abstract: The disclosed embodiments relate to a system for analyzing performance in an online professional network. During operation, the system receives time series data for user actions, wherein for each user action, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates a number of times the user action occurred during the time interval. The system also receives time series data for performance metrics, wherein for each performance metric, the time series data comprises a series of numbers associated with consecutive time intervals, wherein a given number indicates the number of times the performance metric occurred during the time interval. The system then performs a time series analysis on the received time series data for user actions and performance metrics to determine relationships between the user actions and the performance metrics.

Abstract translation: 所公开的实施例涉及用于分析在线专业网络中的性能的系统。 在操作期间，系统接收用于用户动作的时间序列数据，其中对于每个用户动作，时间序列数据包括与连续时间间隔相关联的一系列数字，其中给定的数字指示在该时间期间发生用户动作的次数 间隔。 系统还接收用于性能度量的时间序列数据，其中对于每个性能度量，时间序列数据包括与连续时间间隔相关联的一系列数字，其中给定数量指示在时间间隔期间发生性能度量的次数。 然后，系统对接收到的用户动作和性能指标的时间序列数据执行时间序列分析，以确定用户动作与绩效指标之间的关系。