Using temporal proximity of newly formed relationships to predict common features

    公开(公告)号:US10977564B1

    公开(公告)日:2021-04-13

    申请号:US15442578

    申请日:2017-02-24

    Applicant: GOOGLE LLC

    Abstract: Temporal proximity of newly formed social relationships is used to determine the likelihood of common features being shared by users in the newly formed social relationships. The respective times in which each of a plurality of new relationships are formed are determined to be related to each other, and user information associated each of a plurality of respective contact accounts who are the subject of the new relationships are compared, and a common feature likely shared by the respective contact accounts is identified based on the comparing.

    Measuring media attention over time based on long term heterogeneous archive data

    公开(公告)号:US10560057B1

    公开(公告)日:2020-02-11

    申请号:US16157042

    申请日:2018-10-10

    Applicant: Google LLC

    Abstract: A method is disclosed for estimating a duration that an instance of subject matter-related content will remain relevant. An archive of data sources spanning a period of time is analyzed to identify past instances in time in which a subject matter was newsworthy, and the duration of each instance. On receiving an indication that a user is interested in a current instance of the subject matter, an estimated period of time that the current instance will be of interest to the user is may be determined based on the duration of the past instances. In some aspects, the archive may be a corpus of social media data compiled from a social network, with each data source including or representative of an interaction between users in the social network, and the current instance of the subject technology may include content provided to the user through a social stream.

Patent Agency Ranking