Build your own music recommender by modeling internet radio streams

WWW, 2012.

Cited by: 106|Bibtex|Views94|DOI:https://doi.org/10.1145/2187836.2187838
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

In the Internet music scene, where recommendation technology is key for navigating huge collections, large market players enjoy a considerable advantage. Accessing a wider pool of user feedback leads to an increasingly more accurate analysis of user tastes, effectively creating a \"rich get richer\" effect. This work aims at significantly...More

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