Music Recommendation System

Abstract

The growing use of various softwares, has led to the proliferation of technologies to deploy rich applications. Among these applications are present the music service providers. These systems allow users to listen to music which they like without making them involved at end of every song.hence these softwares use recommendations techniques to improve the user experience.The objective of this project is to develop a music recommendation system. The system will determine the musical preferences of the users based on the analysis of their interaction during use. This way the system is able to estimate what artist or group would match user preferences to the user at a given time. It has been taken into account the fact that we do not always want to hear the same artists or genres, we do have favorite bands, but sometimes we appreciates a surprise, a new discovery. The system uses music information collected from database. This sytem helps users discover new artists, albums or songs making the musical catalog available for listening. The dynamic characteristics of the interface allows the user to browse music collections while listening to a song or playing a video. The user will receive information related to her interaction patterns in form of recommendations of items. These items will probably match user preferences and they are shown as the user interacts with the system and only when it has enough information about user preferences