International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 145 - Number 7 |
Year of Publication: 2016 |
Authors: M. Sunitha, T. Adilakshmi |
10.5120/ijca2016910635 |
M. Sunitha, T. Adilakshmi . Music Recommendation System based on Unsupervised Discretization. International Journal of Computer Applications. 145, 7 ( Jul 2016), 22-25. DOI=10.5120/ijca2016910635
Because of the revolution in the field of Internet and E-commerce, users are overwhelmed by choices either it may be a book or movie or Music etc. Recommendations systems are serving as one of the important tool to handle information overloading by providing recommendations to users. In this paper we proposed a method to handle music recommendation problem. Unsupervised discretization is used to cluster the items which are similar in their frequency distribution. The proposed method is evaluated by using a benchmark dataset Last.fm. the results depict the fact that the proposed method performs better than the traditional popular recommendation approach.