Use of user consumption time to rank media suggestions

    公开(公告)号:US10373176B1

    公开(公告)日:2019-08-06

    申请号:US15798285

    申请日:2017-10-30

    Applicant: Google LLC

    Abstract: A method includes presenting a list of one or more videos via a user interface, receiving a selection of a target video to watch from the list, playing the target video in the user interface, and updating the user interface to present one or more suggested videos concurrently with playback of the target video. The one or more suggested videos are predicted to be watched by a user for at least a threshold duration.

    Using template exploration for large-scale machine learning

    公开(公告)号:US10713585B2

    公开(公告)日:2020-07-14

    申请号:US14106900

    申请日:2013-12-16

    Applicant: Google LLC

    Abstract: Systems and techniques are provided for template exploration in a large-scale machine learning system. A method may include obtaining multiple base templates, each base template comprising multiple features. A template performance score may be obtained for each base template and a first base template may be selected from among the multiple base templates based on the template performance score of the first base template. Multiple cross-templates may be constructed by generating a cross-template of the selected first base template and each of the multiple base templates. Performance of a machine learning model may be tested based on each cross-template to generate a cross-template performance score for each of the cross-templates. A first cross-template may be selected from among the multiple cross-templates based on the cross-template performance score of the cross-template. Accordingly, the first cross-template may be added to the machine learning model.

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