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Effects of recommendations on the playlist creation behavior of users

机译：建议对用户播放列表创建行为的影响

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The digitization of music, the emergence of online streaming platforms and mobile apps have dramatically changed the ways we consume music. Today, much of the music that we listen to is organized in some form of a playlist, and many users of modern music platforms create playlists for themselves or to share them with others. The manual creation of such playlists can however be demanding, in particular due to the huge amount of possible tracks that are available online. To help users in this task, music platforms like Spotify provide users with interactive tools for playlist creation. These tools usually recommend additional songs to include given a playlist title or some initial tracks. Interestingly, little is known so far about the effects of providing such a recommendation functionality. We therefore conducted a user study involving 270 subjects, where one half of the participants—the treatment group—were provided with automated recommendations when performing a playlist construction task. We then analyzed to what extent such recommendations are adopted by users and how they influence their choices. Our results, among other aspects, show that about two thirds of the treatment group made active use of the recommendations. Further analyses provide additional insights about the underlying reasons why users selected certain recommendations. Finally, our study also reveals that the mere presence of the recommendations impacts the choices of the participants, even in cases when none of the recommendations was actually chosen.
机译：音乐的数字化，在线流媒体平台和移动应用程序的出现大大改变了我们消耗音乐的方式。今天，我们倾听的大部分音乐都以某种形式的播放列表组织，并且许多现代音乐平台的用户为自己创造了播放列表，或与他人分享它们。然而，手册创建此类播放列表可以要求苛刻，特别是由于在线可用的可能轨道。为了帮助用户在此任务中，Spotify等音乐平台为用户提供了播放列表创建的交互式工具。这些工具通常推荐额外的歌曲，包括给定播放列表标题或一些初始曲目。有趣的是，到目前为止众所周知，关于提供这种推荐功能的影响。因此，我们进行了一个涉及270个科目的用户学习，参与者的一半 - 在执行播放列表施工任务时提供自动建议。然后，我们在多大程度上进行了分析，这些建议由用户采用以及它们如何影响他们的选择。我们的结果以及其他方面表明，大约三分之二的治疗组积极使用这些建议。进一步的分析提供了对用户选择某些建议的潜在原因的额外见解。最后，我们的研究还揭示了这些建议的存在会影响与会者的选择，即使在实际选择的建议中没有任何建议。

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