Intelligent Music Recommendation System Based on Cloud Computing

In this paper, intelligent music recommend system is proposed based on clouding computer. User- selected music is classified to similar tendency by algorithm of music genre classification, after total of 12 musical feature extraction on cloud. This system classified using Thayer’s model of mood and music was classified again suitable for current weather conditions. So, we suggested to music recommend system based on cloud computing system recommend for user and verified through simulation. The results of performance evaluation show that the proposed system can efficiently support weather condition and season information.