公开(公告)号：US20140351259A1

公开(公告)日：2014-11-27

申请号：US14286879

申请日：2014-05-23

申请人： Linkedln Corporation

发明人： Zal Yaz Bilimoria ,  Abhishek Gupta ,  Kun Liu ,  Anmol Bhasin

IPC分类号： G06F17/30

CPC分类号： G06F16/285 ,  G06F16/95 ,  G06Q50/01

摘要： Techniques for generating recommendation cluster within a social network service are described. Consistent with some embodiments, sample members in a social network service are identified. The sample members may be associated with prior member activity involving a source member. A cluster category this then selected based on a member attribute shared by a plurality of the sample members. In turn, a recommendation cluster is generated based on the selected cluster category. Generating the recommendation duster may involve selecting member profiles that match the cluster category. The member profiles selected in this way form the recommendation cluster. One or more of the member profiles of the recommendation cluster are then surfaced to a client device operated by the source member.

摘要翻译： 描述了在社交网络服务内生成推荐集群的技术。 与一些实施例一致，识别社交网络服务中的样本成员。 样品构件可能与涉及源成员的先前成员活动相关联。 然后，基于由多个样本成员共享的成员属性来选择该集群类别。 反过来，基于所选择的集群类别生成推荐集群。 产生推荐除尘器可能涉及选择与集群类别匹配的成员配置文件。 以这种方式选择的成员配置文件形成推荐集群。 然后将推荐集群的成员简档中的一个或多个呈现给由源成员操作的客户端设备。

公开(公告)号：US20160292641A1

公开(公告)日：2016-10-06

申请号：US14675729

申请日：2015-03-31

申请人： Linkedln Corporation

发明人： Kun Liu ,  Wen Pu ,  Anmol Bhasin ,  Huiji Gao ,  Haishan Liu

IPC分类号： G06Q10/10 ,  G06Q50/00

CPC分类号： G06Q10/1053 ,  G06Q50/01

摘要： Techniques for assisting a user in determining an interest level between a member of a social network system and an organization. According to various embodiments, applicant data is accessed for applicants having applied to an organization. A set of common applicant characteristics is determined for the set of applicant data. Member data is accessed indicative of a member of an online social media network. An interest score is generated based on a comparison of the member data and the set of applicant data. An identification of the organization is presented based on the interest score.

摘要翻译： 用于协助用户确定社交网络系统的成员和组织之间的兴趣等级的技术。 根据各种实施例，申请人数据被访问适用于组织的申请人。 针对申请人数据集确定了一组常见的申请人特征。 访问成员数据，指示在线社交媒体网络的成员。 基于成员数据与申请人数据集的比较，生成利息分数。 基于利益分数来呈现组织的识别。

公开(公告)号：US20150242887A1

公开(公告)日：2015-08-27

申请号：US14191260

申请日：2014-02-26

申请人： Linkedln Corporation

发明人： Deepak Agarwal ,  Kun Liu ,  Bo Long ,  Anmol Bhasin

IPC分类号： G06Q30/02 ,  G06Q50/00

CPC分类号： G06Q30/0251 ,  G06Q50/01

摘要： A system to generate a targeted churn reduction campaign in an on-line social networking system may be implemented as a churn reduction campaign generator. In one embodiment, a churn reduction campaign generator utilizes a subscriber retention model and a churn probability model. When there is an indication, within an on-line social networking system, that a member, who is a subscriber to a paid service in the on-line social networking system, is likely to fail to renew their subscription (or “churn”), the churn reduction campaign generator executes the subscriber retention model to trigger a targeted subscriber retention campaign.

摘要翻译： 在在线社交网络系统中产生有针对性的流失减少活动的系统可以被实现为流失减少活动发生器。 在一个实施例中，流失减少运动发生器利用订户保留模型和流失概率模型。 当在在线社交网络系统中有指示时，作为在线社交网络系统中付费服务的用户的成员可能无法续订其订阅（或“流失”）， ，流失减少活动发生器执行用户保留模型以触发目标用户保留活动。

公开(公告)号：US20150006295A1

公开(公告)日：2015-01-01

申请号：US14047768

申请日：2013-10-07

申请人： Linkedln Corporation

发明人： Kun Liu ,  Anmol Bhasin ,  Sanjay C. Kshetramade ,  Meera G. Bhatia

IPC分类号： G06Q50/00 ,  G06Q30/02

CPC分类号： G06Q50/01 ,  G06Q30/0269

摘要： During a targeting technique, a machine-learning model is generated based on information about previous advertising campaigns and attributes in profiles of users of a social network (which facilitates interactions among the users). The information about the previous advertising campaigns includes specified target groups and associated feedback metrics obtained from individuals, such as impressions served, clicks and/or conversions. This machine-learning model is then used to calculate scores for the users based on attributes in their profiles and/or user behaviors (such as online activities) that indicate probabilities of their responding to a future advertising campaign for a target group. Moreover, based on the calculated scores, a subset of the users is associated with the target group. For example, the users may be ranked based on their calculated scores, and the subset may be those users having scores exceeding a threshold or a predefined value.

摘要翻译： 在定位技术期间，基于关于先前的广告活动的信息和社交网络用户的简档中的属性（这有助于用户之间的交互）来生成机器学习模型。 有关以前的广告活动的信息包括指定的目标群体和从个人获取的相关反馈指标，例如投放的展示次数，点击次数和/或转化次数。 然后，该机器学习模型用于基于他们的简档和/或用户行为（例如在线活动）中的属性来计算用户的分数，其指示他们对目标组的未来广告活动的响应的概率。 此外，基于计算的分数，用户的子集与目标组相关联。 例如，用户可以根据其计算的分数进行排名，并且子集可以是具有超过阈值或预定义值的分数的那些用户。

公开(公告)号：US20150006242A1

公开(公告)日：2015-01-01

申请号：US13931471

申请日：2013-06-28

申请人： Linkedln Corporation

发明人： Anmol Bhasin ,  Christian Posse ,  Wing H. Li ,  Kun Liu

IPC分类号： G06Q30/02 ,  G06Q50/00

CPC分类号： G06Q30/0201 ,  G06Q50/01

摘要： Techniques are described herein for deriving, for each member of a social networking service, a set of metrics representing a measure of the member's intent and interests. For example, a set of member-intent and member-interest scores are derived by detecting which of several applications and services that a particular user interacts with, when the interactions occur, the frequency of the interactions, the particular type of interactions, the nature of the any particular content (e.g., subject matter, topic, etc.) with which the member is interacting, and so forth. The member-intent and member-interest scores are then made available to a wide-variety of applications and services, for example, for use in personalizing various experiences to best suit the intent and interests of each member.

摘要翻译： 这里描述了用于为社交网络服务的每个成员导出表示成员的意图和兴趣的度量的一组度量的技术。 例如，通过检测特定用户与之交互的几个应用程序和服务中的哪一个，当交互发生时，交互的频率，特定的交互类型，性质，派生一组成员意图和成员利益分数 任何特定内容（例如，主题，主题等）与成员进行交互，等等。 然后，会员意图和会员利益分数可用于各种各样的应用和服务，例如用于个性化各种经验以最适合每个成员的意图和兴趣。

公开(公告)号：US20140297580A1

公开(公告)日：2014-10-02

申请号：US13892128

申请日：2013-05-10

申请人： Linkedln Corporation

发明人： Venu Javarappa ,  Bo Long ,  Kun Liu ,  Deepak Argawal ,  Anmol Bhasin ,  Junghoon Andrew Ahn

IPC分类号： G06N5/02

CPC分类号： G06N5/02 ,  G06F17/30 ,  G06Q50/01 ,  H04L12/00 ,  H04L12/6418 ,  H04M2215/0188

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。

公开(公告)号：US20140244612A1

公开(公告)日：2014-08-28

申请号：US13932748

申请日：2013-07-01

申请人： Linkedln Corporation

发明人： Anmol Bhasin ,  Christian Posse ,  Wing H. Li ,  Kun Liu

IPC分类号： H04L29/08 ,  G06F17/30

CPC分类号： H04L67/22 ,  G06F16/951 ,  G06Q30/02 ,  G06Q50/01 ,  H04L67/306

摘要： Techniques are described herein for deriving, for each member of a social networking service, a set of metrics representing a measure of the member's intent and interests. For example, a set of member-intent and member-interest scores are derived by detecting which of several applications and services that a particular user interacts with, when the interactions occur, the frequency of the interactions, the particular type of interactions, the nature of the any particular content (e.g., subject matter, topic, etc.) with which the member is interacting, and so forth. The member-intent and member-interest scores are then made available to a wide-variety of applications and services, for example, for use in personalizing various experiences to best suit the intent and interests of each member.

摘要翻译： 这里描述了用于为社交网络服务的每个成员导出表示成员的意图和兴趣的度量的一组度量的技术。 例如，通过检测特定用户与之交互的几个应用程序和服务中的哪一个，当交互发生时，交互的频率，特定的交互类型，性质，派生一组成员意图和成员利益分数 任何特定内容（例如，主题，主题等）与成员进行交互，等等。 然后，会员意图和会员利益分数可用于各种各样的应用和服务，例如用于个性化各种经验以最适合每个成员的意图和兴趣。