Content-based filtering system for music data

Recommender systems, which recommend appropriate information to users from enormous amount of information, are becoming popular. There are two methods to realize recommender systems. One is content-based filtering, and the other is collaborative filtering. Many systems using the former method deal with text data, and few systems deal with music data. This paper proposes a content-based filtering system that targets music data in MIDI format. First, we analyze characteristics of feature parameters about music data in MIDI format. Then we propose a filtering method based on the above feature parameters. Finally, we build a prototype system with standard technology of the Internet.