Topical-based media content summarization system and method

    公开(公告)号:US10769208B2

    公开(公告)日:2020-09-08

    申请号:US16151588

    申请日:2018-10-04

    Applicant: OATH INC.

    Abstract: Disclosed herein is an automated approach for summarizing media content using descriptive information associated with the media content. For example and without limitation, the descriptive information may comprise a title associated with the media content. One or more segments of the media content may be identified to form a media content summary based on each segment's respective similarity to the descriptive information, which respective similarity may be determined using a media content and auxiliary data feature spaces. A shared dictionary of canonical patterns generated using the media content and auxiliary data feature spaces may be used in determining a media content segment's similarity to the descriptive information.

    Topical based media content summarization system and method

    公开(公告)号:US10095786B2

    公开(公告)日:2018-10-09

    申请号:US14682654

    申请日:2015-04-09

    Applicant: OATH INC.

    Abstract: Disclosed herein is an automated approach for summarizing media content using descriptive information associated with the media content. For example and without limitation, the descriptive information may comprise a title associated with the media content. One or more segments of the media content may be identified to form a media content summary based on each segment's respective similarity to the descriptive information, which respective similarity may be determined using a media content and auxiliary data feature spaces. A shared dictionary of canonical patterns generated using the media content and auxiliary data feature spaces may be used in determining a media content segment's similarity to the descriptive information.

    User behavior models based on source domain

    公开(公告)号:US10572565B2

    公开(公告)日:2020-02-25

    申请号:US15189884

    申请日:2016-06-22

    Applicant: Oath Inc.

    Abstract: A method for tailoring content in a web page is provided. There is a relationship between the source domain a user comes from and the behavior pattern of a user on a website. To predict the behavior patterns of a particular user coming from a particular source domain, first a large dataset is compiled from user logs. Second, session analysis is performed on the dataset to identify sessions, session characteristics, page view categories, and source categories. Third, sessions are clustered and analyzed to determine how the behavior changes according, to a source category. Fourth, a mapping between source categories and behavior patterns is generated. When a user requests a page view from a source domain, if the source domain is mapped to a source category, then a tailored version of the page view is presented to the user based on the mapping between source categories and behavior patterns.

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