CONTENT REACTION ANNOTATIONS
    11.
    发明申请

    公开(公告)号:US20170286538A1

    公开(公告)日:2017-10-05

    申请号:US15628250

    申请日:2017-06-20

    CPC classification number: G06F16/78

    Abstract: Among other things, one or more techniques and/or systems are provided for annotating content based upon user reaction data and/or for maintaining a searchable content repository. That is, a user may request and/or opt-in for user reaction data to be detected while a user is experiencing content (e.g., watching a movie, walking through a park, interacting with a website, participating on a phone conversation, etc.). Metadata associated with the content may be used to determine when and/or what sensors to use to detect the user reaction data (e.g., metadata specifying an emotional part of a movie). The content may be annotated with a reaction annotation corresponding to the user reaction data, which may be used to organize, search, and/or interact with the content. A search interface may allow users to search for content based upon annotation data and/or aggregated annotation data of one or more users who experienced the content.

    Push-based recommendations
    12.
    发明授权

    公开(公告)号:US09269098B2

    公开(公告)日:2016-02-23

    申请号:US14589923

    申请日:2015-01-05

    CPC classification number: G06Q30/0631 G06F17/30867 G06Q30/0255 G06Q30/0261

    Abstract: Among other things, one or more techniques and/or systems are provided for pushing a recommendation to a user. That is, a recommendation may be pushed to a device of the user based upon a triggering event associated with the user. The recommendation may be provided, for example, without user solicitation for the recommendation. In one example, a recommendation component may observe that the user frequently stops for ice cream on Fridays after work (e.g., based upon prior social network check-ins). Accordingly, on the following Friday, the recommendation component may push a recommendation to the user's device to visit a particular grocery store on the way home from work that is within 10 minutes of the user's home so that the user can avoid melting ice cream (e.g., a location constraint may be applied to choose a grocery store that is relatively close to the user's home).

    Content reaction annotations
    15.
    发明授权

    公开(公告)号:US10678852B2

    公开(公告)日:2020-06-09

    申请号:US15628250

    申请日:2017-06-20

    Abstract: Among other things, one or more techniques and/or systems are provided for annotating content based upon user reaction data and/or for maintaining a searchable content repository. That is, a user may request and/or opt-in for user reaction data to be detected while a user is experiencing content (e.g., watching a movie, walking through a park, interacting with a website, participating on a phone conversation, etc.). Metadata associated with the content may be used to determine when and/or what sensors to use to detect the user reaction data (e.g., metadata specifying an emotional part of a movie). The content may be annotated with a reaction annotation corresponding to the user reaction data, which may be used to organize, search, and/or interact with the content. A search interface may allow users to search for content based upon annotation data and/or aggregated annotation data of one or more users who experienced the content.

    PUSH-BASED RECOMMENDATIONS
    20.
    发明申请

    公开(公告)号:US20160162976A1

    公开(公告)日:2016-06-09

    申请号:US15044486

    申请日:2016-02-16

    CPC classification number: G06Q30/0631 G06F16/9535 G06Q30/0255 G06Q30/0261

    Abstract: Among other things, one or more techniques and/or systems are provided for pushing a recommendation to a user. That is, a recommendation may be pushed to a device of the user based upon a triggering event associated with the user. The recommendation may be provided, for example, without user solicitation for the recommendation. In one example, a recommendation component may observe that the user frequently stops for ice cream on Fridays after work (e.g., based upon prior social network check-ins). Accordingly, on the following Friday, the recommendation component may push a recommendation to the user's device to visit a particular grocery store on the way home from work that is within 10 minutes of the user's home so that the user can avoid melting ice cream (e.g., a location constraint may be applied to choose a grocery store that is relatively close to the user's home).

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