论文标题
基于心情的车上音乐推荐
Mood-based On-Car Music Recommendations
论文作者
论文摘要
驾驶和音乐聆听是当今世界上数百万人的两次不可分割的日常活动。考虑到音乐，情绪和舒适性和安全性之间的高度相关性，在汽车驾驶中，基于驱动程序和歌曲的情绪，使用适当且聪明的音乐建议是有意义的。本文的目的是介绍一个基于情绪的音乐推荐系统的项目，能够调节驾驶员的情绪并试图对她的驾驶行为产生积极影响。在这里，我们介绍系统的概念证明，并描述其中一部分的技术和技术。还提出了每个构建块的未来进一步改进。
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.
