Mood-based On-Car Music Recommendations
Abstract
Driving and music listening are two inseparable everyday activities for millions of people today in the world. Considering the high correlation between music, mood and driving comfort and safety, it makes sense to use appropriate and intelligent music recommendations based on the mood of drivers and songs in the context of car driving. The objective of this paper is to present the project of a contextual mood-based music recommender system capable of regulating the driver's mood and trying to have a positive influence on her driving behaviour. Here we present the proof of concept of the system and describe the techniques and technologies that are part of it. Further possible future improvements on each of the building blocks are also presented.
Cite
@article{arxiv.2006.14279,
title = {Mood-based On-Car Music Recommendations},
author = {Erion Çano and Riccardo Coppola and Eleonora Gargiulo and Marco Marengo and Maurizio Morisio},
journal= {arXiv preprint arXiv:2006.14279},
year = {2020}
}
Comments
11 pages, 5 figures. Published in proceedings of INISCOM 2016, the 2nd International Conference on Industrial Networks and Intelligent Systems, Leicester, UK