Abstract
Existing research on music recommendation systems primarily focuses on recommending similar music, thereby often neglecting diverse and distinctive musical recordings. Musical outliers can provide valuable insights due to the inherent diversity of music itself. In this paper, we explore music outliers, investigating their potential usefulness for music discovery and recommendation systems. We argue that not all outliers should be treated as noise, as they can offer interesting perspectives and contribute to a richer understanding of an artist's work. We introduce the concept of 'Genuine' music outliers and provide a definition for them. These genuine outliers can reveal unique aspects of an artist's repertoire and hold the potential to enhance music discovery by exposing listeners to novel and diverse musical experiences.
Abstract (translated)
现有关于音乐推荐系统的研究主要集中在推荐类似的音乐，往往忽略了多样且独特的音乐录音。音乐奇异点因其本身多样性的特点，可以提供宝贵的见解。在本文中，我们探讨音乐奇异点，并研究其对音乐发现和推荐系统的潜在有用性。我们认为，并不是所有的奇异点都应被视为噪音，因为它们可以提供有趣的视角，并有助于更全面地理解艺术家的工作。我们引入了“真实”音乐奇异点的概念，并为其定义。这些真实奇异点可以揭示艺术家作品独特的一面，并有可能通过让听众接触到新颖多样音乐体验，从而提高音乐发现。
URL
https://arxiv.org/abs/2404.06103
