PLAYLIST-BASED DETECTION OF SIMILAR DIGITAL WORKS AND WORK CREATORS
    1.
    发明申请
    PLAYLIST-BASED DETECTION OF SIMILAR DIGITAL WORKS AND WORK CREATORS 有权
    基于播放列表的类似数字作品和作品创作者的检测

    公开(公告)号:US20120303713A1

    公开(公告)日:2012-11-29

    申请号:US13565568

    申请日:2012-08-02

    IPC分类号: G06F17/30 G06F15/16

    摘要: A computer-implemented service recommends digital works (and/or creators of works) to a user based on works currently or previously played or downloaded by the user on a player device or based on playlists stored on the player device. The works may be, for example, music files, video files, electronic books, or other digital content for playing by users. A user may thus obtain personalized recommendations that are based on works obtained from sources (web sites, physical CDs, etc.) that are independent of the recommendations system. In one embodiment, the service identifies pairs of works (and/or work creators) that are similar to each other by virtue of the relatively high frequency with which they co-occur on playlists or within play histories of users. The resulting mappings are used to provide recommendations to users.

    摘要翻译: 基于计算机实现的服务,基于当前或之前由用户在播放器设备上播放或下载的作品或基于播放器设备上存储的播放列表,向用户推荐数字作品(和/或作品的创作者)。 作品可以是例如音乐文件,视频文件,电子书或用户播放的其他数字内容。 因此,用户可以获得基于从建议系统独立的来源(网站,物理CD等)获得的作品的个性化建议。 在一个实施例中,该服务通过它们在播放列表或用户的播放历史中共同发生的相对较高的频率来识别彼此相似的作品(和/或作品创建者)对。 所得到的映射用于向用户提供建议。

    Playlist-based detection of similar digital works and work creators
    2.
    发明授权
    Playlist-based detection of similar digital works and work creators 有权
    类似数字作品和作品创作者的基于播放列表的检测

    公开(公告)号:US08468046B2

    公开(公告)日:2013-06-18

    申请号:US13565568

    申请日:2012-08-02

    IPC分类号: G06Q30/00 G06Q10/00

    摘要: A computer-implemented service recommends digital works (and/or creators of works) to a user based on works currently or previously played or downloaded by the user on a player device or based on playlists stored on the player device. The works may be, for example, music files, video files, electronic books, or other digital content for playing by users. A user may thus obtain personalized recommendations that are based on works obtained from sources (web sites, physical CDs, etc.) that are independent of the recommendations system. In one embodiment, the service identifies pairs of works (and/or work creators) that are similar to each other by virtue of the relatively high frequency with which they co-occur on playlists or within play histories of users. The resulting mappings are used to provide recommendations to users.

    摘要翻译: 基于计算机实现的服务,基于当前或之前由用户在播放器设备上播放或下载的作品或基于播放器设备上存储的播放列表,向用户推荐数字作品(和/或作品的创作者)。 作品可以是例如音乐文件,视频文件,电子书或用户播放的其他数字内容。 因此,用户可以获得基于从建议系统独立的来源(网站,物理CD等)获得的作品的个性化建议。 在一个实施例中,该服务通过它们在播放列表或用户的播放历史中共同出现的相对较高的频率来识别彼此相似的作品(和/或作品创建者)。 所得到的映射用于向用户提供建议。

    Mining of user-generated playlists for data regarding relationships between digital works
    3.
    发明授权
    Mining of user-generated playlists for data regarding relationships between digital works 有权
    为数字作品之间关系的数据挖掘用户生成的播放列表

    公开(公告)号:US08260656B1

    公开(公告)日:2012-09-04

    申请号:US10127358

    申请日:2002-04-19

    IPC分类号: G06Q30/00 G06Q10/00

    摘要: A computer-implemented service recommends works to a user based on works currently or previously played or downloaded by the user on a player device or based on playlists stored on the player device. The works may be, for example, music files, video files, electronic books, or other digital content for playing by users. A user may thus obtain personalized recommendations that are based on works obtained from sources (web sites, physical CDs, etc.) that are independent of the recommendations system. In one embodiment, the service identifies pairs of works that are related to each other by virtue of the relatively high frequency with which they co-occur on playlists or within play histories of users. The resulting mappings of works to related works are in-turn used to select works to recommend to users.

    摘要翻译: 计算机实现的服务建议基于当前或之前由用户在播放器设备上播放或下载的作品或者基于存储在播放器设备上的播放列表来对用户进行作品。 作品可以是例如音乐文件,视频文件,电子书或用户播放的其他数字内容。 因此,用户可以获得基于从建议系统独立的来源(网站,物理CD等)获得的作品的个性化建议。 在一个实施例中,该服务识别彼此相关的作品对,凭借它们在播放列表或用户的播放历史中共同发生的相对较高的频率。 由此产生的作品对相关作品的映射反过来用于选择作品以向用户推荐。