Design and implementation of the intelligent music recommender system on the mobile phone

Abstract

People listen to music according to their emotions. For example, people listen to sad music when melancholy and fun music when amused. But it is hard to search music similar to their emotions. The mobile phone has information which is created by people who use it. It means the mobile phone has his or her emotions. So, to use a mobile phone, we analyze the users' emotions and recommend it to them. Music applies Valance-Arousal Model for classifying emotions and utilized Korean morpheme analyzer to understand its meaning by extracting verbs. This system is listening to music followed by the mobile phone's text message. In this paper, we designed and implemented the intelligent music recommender system. © 2014 SERSC.