Title Polarized score distributions in music ratings and the emergence of popular artists
Authors Cai, Tianqi
Cai, H.J.
Zhang, Yuanyuan
Huang, Ke
Xu, Zhengquan
Affiliation International School of Software, Wuhan University, China
School of Software and Microelectronics, Peking University, Beijing, China
School of Economics and Management, Wuhan University, China
State Key Laboratory of Information Engineering in Surveying, Wuhan University, Wuhan, China
Issue Date 2013
Citation 2013 Science and Information Conference, SAI 2013.London, United kingdom.
Abstract According to our statistical analysis based on the datasets provided by Yahoo!, most users have a favored score which is used most frequently in their music ratings. We call the frequency of a user's most favored score the polarization ratio since the rating distributions depict apparent polarizations: 66.99% of the total users have the frequency larger than 0.5; while 80.37% of the total users' most favored score is either 0 or 90. Furthermore, our statistical analysis shows that the rating score distributions are highly polarized for average raters as well as so called heavy raters regardless of the total times a user rated. Finally, our analysis of the ratings on four categories of music items reveals the emergence of popular artists, which signifies the importance of the introduction of a user's most favored score and its frequency in quantitative descriptions of human behavior in music ratings. ? 2013 The Science and Information Organization.
URI http://hdl.handle.net/20.500.11897/410920
Indexed EI
Appears in Collections: 软件与微电子学院

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