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Listening factors
2012
Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12
There are about as many strategies for listening to music as there are music enthusiasts. This makes learning about overarching patterns and similarities difficult. In this paper, we present an empirical analysis of long-term music listening histories from the last.fm web service. It gives insight into the most distinguishing factors in music listening behavior. Our sample contains 310 histories with up to six years duration and 48 associated variables describing various user and music
doi:10.1145/2207676.2208581
dblp:conf/chi/BaurBB12
fatcat:zwyup7z3pba6jmpmbgwu424tye