Automated content medium selection

    公开(公告)号:US11262972B2

    公开(公告)日:2022-03-01

    申请号:US14869635

    申请日:2015-09-29

    Applicant: Apple Inc.

    Abstract: A content management system and/or client device can enable a user to initiate a quick play mode where a content category and content medium are selected for the user. A client device and/or a content management system can select a content medium for a user based on one or more factors, such as the content category. Certain content categories of content can be preferably delivered in certain content mediums. In some embodiments, a content management system and/or client device can select a content medium for a user based on contextual data gathered from the user. Contextual data can be data describing the user's current state and/or environment. For example, contextual data can include data such as the time of day, geographic location, etc.

    Automated Content Medium Selection

    公开(公告)号:US20230008201A1

    公开(公告)日:2023-01-12

    申请号:US17652783

    申请日:2022-02-28

    Applicant: Apple Inc.

    Abstract: A content management system and/or client device can enable a user to initiate a quick play mode where a content category and content medium are selected for the user. A client device and/or a content management system can select a content medium for a user based on one or more factors, such as the content category. Certain content categories of content can be preferably delivered in certain content mediums. In some embodiments, a content management system and/or client device can select a content medium for a user based on contextual data gathered from the user. Contextual data can be data describing the user's current state and/or environment. For example, contextual data can include data such as the time of day, geographic location, etc.

    Content item recommendations based on content attribute sequence

    公开(公告)号:US09875245B2

    公开(公告)日:2018-01-23

    申请号:US14684063

    申请日:2015-04-10

    Applicant: Apple Inc.

    CPC classification number: G06F17/30053

    Abstract: User created playlists can be analyzed to create a statistical language model indicating the likelihood that a particular sequence of content attributes will be found in a playlist created by a user, as well as the likelihood of any sequence of one or more content attributes following a playlist or partial playlist created by a user. The language model can be used to generate a recommended content attribute sequence based on a partial playlist of one or more content items. A recommended content item sequence that will be pleasant to a user when added to the partial playlist can be selected based on the recommended content attribute sequence.

    STEERING FOR UNSTRUCTURED MEDIA STATIONS
    9.
    发明申请

    公开(公告)号:US20190079935A1

    公开(公告)日:2019-03-14

    申请号:US15885047

    申请日:2018-01-31

    Applicant: APPLE INC.

    Abstract: The present technology pertains to steering a playlisting service toward media items that are likely to receive positive feedback from a user operating a client device. The present technology permits a request to play media items without requiring an input context. A playlist service can begin to receive feedback on the playback of the media items and the received playback can be utilized by a steering service in response to a steering request to identify media items for playback that are likely to receive positive feedback based on the feedback received on a sequence of previously played media items.

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