Graph-based music recommendation approach using social network analysis and community detection method

Abstract

The main goal of recommendation systems is to offer items to a particular user based on some factors, such as users' interests and preferences, thus allowing for more efficient information access. This paper describes how Social Network Analysis and community detection method can be used to build a novel music recommendation approach. While most of the current recommendation systems consider users as the objects, which have only one key direction of interests, we focused on identifying the individual traits of a particular user.