Title :
Polarized score distributions in music ratings and the emergence of popular artists
Author :
Tianqi Cai ; Cai, H.J. ; Yuanyuan Zhang ; Ke Huang ; Zhengquan Xu
Author_Institution :
Int. Sch. of Software, Wuhan Univ., Wuhan, China
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.
Keywords :
behavioural sciences; information retrieval; music; social networking (online); statistical analysis; Yahoo!; favored score; human behavior; music rating; polarization ratio; polarized score distribution; rating distribution; statistical analysis; Educational institutions; Multiple signal classification; Predictive models; Recommender systems; Software; Statistical analysis; Time-frequency analysis; Distribution; KDD Cup; Music rating; Polarized behaviors;
Conference_Titel :
Science and Information Conference (SAI), 2013
Conference_Location :
London