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公开(公告)号:US20180300818A1
公开(公告)日:2018-10-18
申请号:US15485901
申请日:2017-04-12
申请人: Linkedln Corporation
发明人: Victor Louis Kabdebon , Romer E. Rosales , Kinjal Basu , Shaunak Chatterjee , Richard Ramirez , Hari Srinivasan , Daniel Weizman
摘要: Disclosed in some examples are methods, systems, and machine-readable mediums for matching mentee members with mentor members. The member matching may utilize social networking service data and one or more preferences of both the potential mentees and potential mentors. For example, after indicating an interest in being mentored (e.g., being a mentee), a member may be presented with a list of potential mentors that are selected, scored, and in some examples, ranked based upon the member's preferences, the potential mentors' preferences, and other compatibility factors. The member may then select one or more of these potential mentors.
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公开(公告)号:US20180004753A1
公开(公告)日:2018-01-04
申请号:US15199440
申请日:2016-06-30
申请人: Linkedln Corporation
发明人: Shaunak Chatterjee , Ravi Kiran Holur Vijay , Romer E. Rosales , Mohamed Gamal Mohamed Mahmoud , Zheng Li , Kwei-you Tao , Bee-Chung Chen , Deepak Agarwal
IPC分类号: G06F17/30 , G06F3/0484 , H04L29/08
摘要: A system and method for intermediate landing page rerouting are provided. In example embodiments, determine whether a webpage associated with a hyperlink has corresponding social network activities. Extract content from the webpage determined to have corresponding social network activities. In response to a selection of the hyperlink, reroute a web browser to an intermediate landing page. Cause presentation, at a user interface, of the extracted content and the corresponding social network activities.
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公开(公告)号:US20150278850A1
公开(公告)日:2015-10-01
申请号:US14634538
申请日:2015-02-27
申请人: Linkedln Corporation
发明人: Shaunak Chatterjee , Bee-Chung Chen , Rupesh Gupta , Guangde Chen , Siyu You , Romer E. Rosales , Deepak Agarwal
CPC分类号: G06Q30/0244 , G06F21/6218 , G06Q10/06393 , G06Q50/01 , H04L67/22 , H04L67/306
摘要: This disclosure relates to systems and methods that include obtaining from a member activity database, with a processor, data indicative of past interactions by members of a social network with content items associated with the social network, the content items including sponsored content items and organic content items. A positioning condition for content items is determined for individual members, based on the data as obtained, including sponsored content items and organic content items, on a user interface displayed to the individual members that is estimated to meet a optimization criterion, the optimization criterion including engagement with the content items by members individually and by members overall. The user interface is provided to one of the members based, at least in part, on the positioning condition.
摘要翻译: 本公开涉及系统和方法,其包括从成员活动数据库与处理器获得指示社交网络的成员与社交网络相关联的内容项目的过去交互的数据,内容项目包括赞助的内容项目和有机内容 物品。 基于所获得的数据(包括赞助的内容项目和有机内容项目),针对被估计满足优化标准的各个成员显示的用户界面,为个人成员确定内容项目的定位条件,优化标准包括 成员单独参与和成员的内容项目。 至少部分地基于定位条件将用户界面提供给一个成员。
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公开(公告)号:US20180060749A1
公开(公告)日:2018-03-01
申请号:US15247075
申请日:2016-08-25
申请人: Linkedln Corporation
发明人: Jinyun Yan , Hsiao-Ping Tseng , Xiaoyu Chen , Rupesh Gupta , Romer E. Rosales
IPC分类号: G06N7/00 , G06N99/00 , G06F17/30 , G06F3/0482
摘要: A system and method for content generation and targeting using machine learning are provided. In example embodiments, a probability that a user will visit a webpage based on historical data is calculated. A probability that the user will engage with a particular content category based on past user engagement is calculated. In response to the probability of the user engaging with the particular content category being equal to or greater than a first threshold, the content is generated. Further, in response to the probability of the user not visiting a webpage meeting or exceeding a second threshold, the generated content is sent to the user.
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