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    • 5. 发明授权
    • Method for contents recommendation
    • 内容推荐方法
    • US09189802B2
    • 2015-11-17
    • US13593444
    • 2012-08-23
    • Kibeom LeeKyogu Lee
    • Kibeom LeeKyogu Lee
    • G06F15/16G06Q30/02G06Q30/06G06Q30/00
    • G06Q30/0207G06Q30/00G06Q30/0241G06Q30/0278G06Q30/0631
    • A method for music recommendation is provided using collaborative filtering methods while still managing to produce novel yet relevant items and by utilizing the long-tailed distribution of listening behavior of users, in which their playlists are biased towards a few songs while the rest of the songs, those in the long tail, have relatively low play counts. Also a link analysis method is applied to users with links between them to create an increasingly fine-grained approach in calculating weights for the recommended items. Results show that the method manages to include novel recommendations that are still relevant, and shows the potential for a new way of generating novel recommendations.
    • 使用协同过滤方法提供音乐推荐的方法,同时仍然管理产生新颖但相关的项目,并且通过利用用户的听力行为的长尾分布,其中他们的播放列表偏向几首歌曲,而剩余的歌曲 那长尾巴的玩家数量相对较少。 此外,链接分析方法也应用于具有链接的用户,以在计算推荐项目的权重时创建越来越细粒度的方法。 结果表明,该方法设法包含仍然相关的新颖建议,并展示了创建新建议的新方法的潜力。
    • 6. 发明申请
    • Method for Contents Recommendation
    • 内容推荐方法
    • US20140059128A1
    • 2014-02-27
    • US13593444
    • 2012-08-23
    • Kibeom LeeKyogu Lee
    • Kibeom LeeKyogu Lee
    • G06F15/16
    • G06Q30/0207G06Q30/00G06Q30/0241G06Q30/0278G06Q30/0631
    • A method for music recommendation is provided using collaborative filtering methods while still managing to produce novel yet relevant items and by utilizing the long-tailed distribution of listening behavior of users, in which their playlists are biased towards a few songs while the rest of the songs, those in the long tail, have relatively low play counts. Also a link analysis method is applied to users with links between them to create an increasingly fine-grained approach in calculating weights for the recommended items. Results show that the method manages to include novel recommendations that are still relevant, and shows the potential for a new way of generating novel recommendations.
    • 使用协同过滤方法提供音乐推荐的方法,同时仍然管理产生新颖但相关的项目,并且通过利用用户的听力行为的长尾分布,其中他们的播放列表偏向几首歌曲,而剩余的歌曲 那长尾巴的玩家数量相对较少。 此外,链接分析方法也应用于具有链接的用户,以在计算推荐项目的权重时创建越来越细粒度的方法。 结果表明,该方法设法包含仍然相关的新颖建议,并展示了创建新建议的新方法的潜力。