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    Profile completion score
    1.
    发明授权
    Profile completion score 有权

    公开(公告)号：US10050911B2

    公开(公告)日：2018-08-14

    申请号：US14835610

    申请日：2015-08-25

    申请人： Microsoft Technology Licensing, LLC

    发明人： Jason Schissel ,  Alexis Blevins Baird ,  Xin Fu

    IPC分类号： H04L12/58 ,  H04L29/08

    摘要： Techniques for tracking profile completeness among members of an online social networking system are described. According to various embodiments, profile completion score criteria information identifies a profile completion score weight value associated with each of a plurality of member profile fields available in member profiles of an online social networking service. A specific member profile associated with a specific member of the online social networking service is accessed, and one or more of the plurality of member profile fields that have been completed in the specific member profile are identified. Thereafter, the profile completion score weight values associated with the member profile fields that have been completed in the specific member profile are determined, based on the profile completion score criteria information. Based on the determined profile completion score weight values, a profile completion score is then generated for the specific member profile.

    USING FEEDBACK TO CREATE AND MODIFY CANDIDATE STREAMS
    6.
    发明申请
    USING FEEDBACK TO CREATE AND MODIFY CANDIDATE STREAMS 审中-公开

    公开(公告)号：US20190197180A1

    公开(公告)日：2019-06-27

    申请号：US15942361

    申请日：2018-03-30

    申请人： Microsoft Technology Licensing, LLC

    发明人： John Robert Jersin ,  Alexis Blevins Baird ,  Erik Eugene Buchanan ,  Benjamin John McCann

    IPC分类号： G06F17/30 ,  G06F15/18

    摘要： Techniques for dynamically altering weights to re-weight attributes of an ordering model based on feedback in a streaming environment are described. In an embodiment, a system accesses, based on a candidate stream definition comprising a role including a title, one or more stream-related information sources, and extracts attributes from the sources. Additionally, the system inputs the attributes to a combined ordering model that is trained by a machine learning algorithm to output ordering scores for member profiles of an online system (e.g., hosting a social networking service). The combined ordering model includes weights assigned to the attributes. Moreover, the system orders, based on the ordering scores, the profiles. Furthermore, the system presents, on a display, of top-ordered profiles. Then, the system accesses feedback regarding the top-ordered profiles and dynamically trains the weights assigned to each of the attributes to alter the weights assigned to the attributes based on the feedback.

    ANALYZING PIPELINED DATA
    8.
    发明申请
    ANALYZING PIPELINED DATA 审中-公开

    公开(公告)号：US20190303877A1

    公开(公告)日：2019-10-03

    申请号：US15941501

    申请日：2018-03-30

    申请人： Microsoft Technology Licensing, LLC

    发明人： Benjamin John McCann ,  Jerry Lin ,  Erik Eugene Buchanan ,  Alexis Blevins Baird ,  Skylar Payne ,  Nadeem Anjum

    IPC分类号： G06Q10/10 ,  G06Q10/06

    摘要： Systems and methods for analyzing pipelined data are disclosed. In some examples, a server receives a transaction description requesting candidates for a given transaction. The server accesses first records representing parties that fully completed the given transaction and second records representing parties that were in a pipeline for completing the given transaction but did not fully complete the given transaction. The first records and the second records are stored at a data repository. The server generates a model for predicting whether an identified record represents a party likely to complete the given transaction. The model is generated based on at least the first records and the second records. The server orders a list of third records representing parties likely to complete the given transaction. The server provides an output representing the third records.