METHOD AND SYSTEM FOR TRENDING MEDIA PROGRAMS FOR A USER

    公开(公告)号:US20240259647A1

    公开(公告)日:2024-08-01

    申请号:US18435479

    申请日:2024-02-07

    CPC classification number: H04N21/4826 H04N21/41407 H04N21/25891

    Abstract: A client determines that a user is attempting to access media program recommendations. In response to the determination, the client attempts to collect media program recommendations to be presented to the user. Media program recommendations may be derived locally by the client, by the client and a multimedia device locally connected with the client, by the client and one or more additional devices, etc. In some embodiments, in response to receiving a query from the client, one or more recipient devices or servers identify media program recommendations in a plurality of trending categories. The media program recommendations may be selected based at least in part on EPG data and audience research and measurement data. The media program recommendations collected by the client are presented to the user for further exploration. The client may be one of mobile phones, tablet computers, etc.

    IDENTIFYING MULTIMEDIA ASSET SIMILARITY USING BLENDED SEMANTIC AND LATENT FEATURE ANALYSIS

    公开(公告)号:US20240202456A1

    公开(公告)日:2024-06-20

    申请号:US18592150

    申请日:2024-02-29

    CPC classification number: G06F40/30 G06F16/41 G06F16/43

    Abstract: Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.

    Method and system for trending media programs for a user

    公开(公告)号:US11936957B2

    公开(公告)日:2024-03-19

    申请号:US17180290

    申请日:2021-02-19

    CPC classification number: H04N21/4826 H04N21/41407 H04N21/25891

    Abstract: A client determines that a user is attempting to access media program recommendations. In response to the determination, the client attempts to collect media program recommendations to be presented to the user. Media program recommendations may be derived locally by the client, by the client and a multimedia device locally connected with the client, by the client and one or more additional devices, etc. In some embodiments, in response to receiving a query from the client, one or more recipient devices or servers identify media program recommendations in a plurality of trending categories. The media program recommendations may be selected based at least in part on EPG data and audience research and measurement data. The media program recommendations collected by the client are presented to the user for further exploration. The client may be one of mobile phones, tablet computers, etc.

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