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Polarized Score Distributions in Music Ratings and the Emergence of Popular Artists

机译:音乐评分和热门歌手的出现中的两极分化分数分布

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It is found that most users have a favored score based on the dataset provided by Yahoo!, which is used most frequently in music ratings. We introduce the polarization ratio, indicating the frequency of a user's most favored score since the rating distributions depict apparent polarizations: 66.99% of the total users have the polarization ratio larger than 0.5; while 80.37% of the total users' most favored score is either 90 or 0. Our statistical analysis shows that the rating score distributions are highly polarized for average raters as well as the so called heavy raters regardless of the total times a user rated. Our analysis of the ratings on four categories of music items, tracks, albums, artists and genres, reveals the emergence of popular artists, which signifies the importance of the introduction of a user's most favored score and its polarization ratio in quantitative descriptions of human behavior in music ratings.
机译:根据Yahoo!提供的数据集,发现大多数用户的得分都很高,这在音乐分级中最常使用。我们介绍了极化率,它表示用户最喜欢的分数的频率,因为评分分布显示了明显的极化:总用户的66.99%的极化率大于0.5;而总用户最喜欢的分数的80.37%是90或0。我们的统计分析表明,无论用户评分的总次数如何,平均评分者以及所谓的重评分者的评分得分分布都是高度极化的。我们对音乐项目,曲目,专辑,艺术家和流派这四个类别的评分进行的分析揭示了流行艺术家的出现,这表明引入用户最喜欢的乐谱及其极化比率在定量描述人类行为方面的重要性在音乐评分中。

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