Calculating music similarity with mobile device playlists

Authors

Jacob O'Bryant, Brigham Young University
Dennis Ng, Brigham Young University

Keywords

calculating music similarity, mobile device, music recommendation systems

College

Physical and Mathematical Sciences

Department

Computer Science

Abstract

Music recommendation systems, such as Pandora and Spotify, help listeners to discover new music. The similarity of different songs is an important measure used in music recommendation. We have studied manually-created playlists on mobile devices to see if they can be used to accurately calculate song similarity. We collected playlists from 41 research subjects and used a co-occurrence model to calculate similarity between songs in the collection.

Recommended Citation

O'Bryant, Jacob and Ng, Dennis (2017) "Calculating music similarity with mobile device playlists," Journal of Undergraduate Research: Vol. 2017: Iss. 1, Article 294.
Available at: https://scholarsarchive.byu.edu/jur/vol2017/iss1/294