DIVERSITY IN MEDIA ITEM RECOMMENDATIONS
    1.
    发明申请

    公开(公告)号:US20180150897A1

    公开(公告)日:2018-05-31

    申请号:US15631386

    申请日:2017-06-23

    Applicant: Apple Inc.

    Abstract: In some implementations, a computing device can improve diversity in media item recommendations. For example, the computing device can generate a satisfaction score representing an estimate of the amount satisfaction a user will experience when a candidate media item selected by the user is presented (e.g., played) by the system. The system can determine the difference in satisfaction scores for similar media items over time to determine the amount of satisfaction gained with a subsequent selection and presentation of similar candidate media items. The system can rank candidate media items based the satisfaction gain calculated for each candidate media item and select suggested media items to present to the user based on the candidate media items having the highest satisfaction gain. In some implementations, the computing device can generate satisfaction scores based on an adventurousness score calculated for the user.

    Lyric search service
    2.
    发明授权

    公开(公告)号:US11106722B2

    公开(公告)日:2021-08-31

    申请号:US16257986

    申请日:2019-01-25

    Applicant: Apple Inc.

    Abstract: This application relates to a client-server architecture that enables search queries to be applied to transcription information for multimedia files. A server device implements a service configured to query a search platform to retrieve results associated with a plurality of multimedia files stored in a content database. The results are ordered according to a plurality of heuristic values calculated based on a text relevance analysis. The service is configured to modify the heuristic values to adjust an order of the results, and generate a response to a search request that includes a representation of at least a portion of the transcription information of the multimedia files referenced by the results. The heuristic values are modified based on at least one of a popularity score for a corresponding multimedia file, a weight associated with a particular field, or a relevance score based on feedback signals.

    Lyric search service
    3.
    发明授权

    公开(公告)号:US11573998B2

    公开(公告)日:2023-02-07

    申请号:US17445189

    申请日:2021-08-16

    Applicant: Apple Inc.

    Abstract: This application relates to a client-server architecture that enables search queries to be applied to transcription information for multimedia files. A server device implements a service configured to query a search platform to retrieve results associated with a plurality of multimedia files stored in a content database. The results are ordered according to a plurality of heuristic values calculated based on a text relevance analysis. The service is configured to modify the heuristic values to adjust an order of the results, and generate a response to a search request that includes a representation of at least a portion of the transcription information of the multimedia files referenced by the results. The heuristic values are modified based on at least one of a popularity score for a corresponding multimedia file, a weight associated with a particular field, or a relevance score based on feedback signals.

    Diversity in media item recommendations

    公开(公告)号:US10713703B2

    公开(公告)日:2020-07-14

    申请号:US15631386

    申请日:2017-06-23

    Applicant: Apple Inc.

    Abstract: In some implementations, a computing device can improve diversity in media item recommendations. For example, the computing device can generate a satisfaction score representing an estimate of the amount satisfaction a user will experience when a candidate media item selected by the user is presented (e.g., played) by the system. The system can determine the difference in satisfaction scores for similar media items over time to determine the amount of satisfaction gained with a subsequent selection and presentation of similar candidate media items. The system can rank candidate media items based the satisfaction gain calculated for each candidate media item and select suggested media items to present to the user based on the candidate media items having the highest satisfaction gain. In some implementations, the computing device can generate satisfaction scores based on an adventurousness score calculated for the user.

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