Music Recommendation System based on Unsupervised Discretization
M. Sunitha, Thondepu Adilakshmi · International Journal of Computer Applications · 2016
Because of the revolution in the field of Internet and Ecommerce, 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.