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Design of an intelligent car radio and music player system

机译：智能汽车收音机和音乐播放器系统的设计

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摘要

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.
机译：随着因特网和数字技术的迅速发展，数字音乐和因特网广播电台已经吸引了来自各种来源的越来越多的投资。通过互联网，用户可以不受地理限制地收听音乐和广播电台。互联网还为用户提供了更多音乐和广播电台选择选项。该领域的技术发展可以改善汽车音响系统。但是，在所有相关研究中，如何最好地向用户推荐广播或音乐选择的问题仍然是与数字音乐和广播有关的研究中的重要课题。因此，在本文中，我们尝试通过记录用户行为并分析具有相似背景信息的用户的音乐偏好来改进这些建议。这与传统的推荐机制不同，因为我们简化了用户的反馈程序。此外，通过调整公式中用于计算推荐的权重，我们可以提供个性化的推荐。这将更好地满足不同类型用户的需求。通过实验结果，我们证明了我们的推荐机制可以极大地帮助用户选择广播电台和音乐。

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