Mobile Music Genius

Abstract

The amount of music consumed while on the move has been spiraling during the past couple of years, which requests for intelligent music recommendation techniques. In this demo paper, we introduce a context-aware mobile music player named "Mobile Music Genius" (MMG), which seamlessly adapts the music playlist on the fly, according to the user context. It makes use of a comprehensive set of features derived from sensor data, spatiotemporal information, and user interaction to learn which kind of music a listeners prefers in which context. We describe the automatic creation and adaptation of playlists and present results of a study that investigates the capabilities of the gathered user context features to predict the listener's music preference.

Context-Aware Recommender Systems in the Music Domain: A Systematic Literature Review

“…User study [42,43,56,65,[69][70][71][72]80,83,84,87,101,103,116,120] Similarly, Figure 6a shows the number of papers included in this study that employ each of the evaluation approaches. Notably, a large majority of the papers employ offline evaluation, although we should mention that one of the quality criteria applied is the use of publicly available datasets, so we are aware that this work is biased towards the presence of such studies.…”