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Multimedia Tools and Applications

, Volume 72, Issue 2, pp 1341–1361 | Cite as

Design of an intelligent car radio and music player system

  • Ning-Han Liu
Article

Abstract

With the rapid development of the Internet and digital technology, digital music and Internet radio stations have come to attract increasing investment from various sources. Through the Internet, users are able to listen to music and radio stations without geographical limitations. The Internet also provides users more options in their music and radio station choices. The technological developments in this field allow for improvements in car audio systems. However, across all relevant studies, the question of how best to recommend radio or music choices to users remains an important topic in the research relating to digital music and radio. Therefore, in this paper, we try to improve these recommendations by recording user behavior and analyzing the music preferences of users with similar background information. This is different to traditional recommendation mechanisms as we simplify the feedback procedure for users. In addition, by adjusting the weightings in the formula for calculating the recommendations, we are able to provide personalized recommendations. This would better satisfy the needs of different types of users. Through experimental results, we prove that our recommendation mechanism significantly helps users to select radio stations and music.

Keywords

Music recommendation Radio recommendation Car audio system Artificial intelligence 

Notes

Acknowledgments

This work was supported in part by the NSC in Taiwan under the contact numbers NSC100-2218-E-020-003 and NSC101-2221-E-020-025.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Management Information SystemsNational Pingtung University of Science & TechnologyPingtungTaiwan

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