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Understanding Playlist Creation on Music Streaming Platforms

机译:了解音乐流媒体平台上的播放列表创建

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Music streaming platforms enable people to access millions of tracks using computers and mobile devices. The latter allow users consume different music during different activities. Both, the sheer amount of music and the mobile access to music makes music organization an interesting topic for multimedia researchers. Assisting users to organize their music and make the music they like easily available in the right moment, contributes to increased usability of music streaming platforms. To get a deeper understanding of how users organize music nowadays, we analyze user-created playlists crawled from the music streaming platform Spotify. Using this new data set we find an explanation of differences in the playlists using audio features and based on this compute playlist clusters. We find that 91% of all users create at least one playlist in the “feel good music”-cluster and classical music or rap music can be considered as niche music with respect to the number of playlists, however not as niche music when considering the number of users. To foster research in this field, we make our analysis tool publicly available.
机译:音乐流媒体平台使人们能够使用计算机和移动设备访问数百万首曲目。后者允许用户在不同的活动中消费不同的音乐。庞大的音乐量和对音乐的移动访问使音乐组织成为多媒体研究人员的一个有趣话题。帮助用户整理音乐并在适当的时机轻松提供他们喜欢的音乐,有助于提高音乐流平台的可用性。为了更深入地了解当今用户如何组织音乐,我们分析了从音乐流媒体平台Spotify抓取的用户创建的播放列表。使用此新数据集,我们可以找到基于音频功能并基于此计算播放列表群集的播放列表差异的解释。我们发现,有91%的用户在“感觉良好的音乐”中创建了至少一个播放列表,并且就播放列表的数量而言,古典音乐或说唱音乐可以被视为利基音乐,但是在考虑播放列表时,则不能视为利基音乐。用户数。为了促进这一领域的研究,我们将分析工具公开提供。

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