A Review of Factors Affecting Music Recommender Success.

Abstract

Much research has been published on musical taste, however, little has been studied by the builders of music recommenders. Implicit and explicit collaborative filtering has been used for making recommenders, in addition to the automatic classification of music into style categories based on extracted audio features. This paper surveys research into musical taste, reviews music recommender research, and outlines promising directions. In particular, we learned that demographic and personality factors have been shown to be factors influencing music preference. For mood, the main factors are tempo, tonality, distinctiveness of rhythm and pitch height.