Musify:对Spotify的歌曲数据进行方面分析和可视化的应用程序

Kanika Kamalhans, Anushka Gupta, N. Sharma, Deepak Kumar Sharma
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引用次数: 0

摘要

Spotify是一家领先的音乐流媒体应用程序,拥有超过1.8亿用户。它的算法是按照用户永远不会用完相关歌曲的方式设计的。这项研究工作的作者旨在提取,分析和可视化它如何处理音乐图表,播放列表和歌曲推荐背后的标准,并研究多年来音乐的各种组成部分和参数。在这项研究工作中,作者利用Spotify开发者平台,构建了一个名为“Musify”的新应用程序,并选取了一个小数据集进行单独分析。输出以各种图表的形式显示,这些图表代表了多年来音乐的变化,歌曲的组成部分,不同艺术家的各种热门歌曲等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Musify: An application for Aspect Analysis and Visualization of Spotify’s song data
Spotify is a leading music streaming application, with over 180 million users. Its algorithm is designed in a manner that users never run out of relevant songs. Authors in this research work aim to extract, analyze, and visualize how it handles music charts, playlists and the criteria behind song recommendation and studying various components & parameters of music over the years. In this research work, authors have used the Spotify developer platform and built a new application called "Musify" and took a small dataset to analyze separately. The output is shown in terms of various charts representing the changes in music over the years, the components of a song, the various hits of different artists etc.
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