Hit songs prediction: A review on machine learning perspective

Author:

Yap Kah Yee,Raheem Mafas

Publisher

AIP Publishing

Reference23 articles.

1. Spotify, “The Trends That Shaped Streaming in 2020 — Spotify,” Spotify, 2020. [Online]. Available: https://newsroom.spotify.com/2020-12-01/the-trends-that-shaped-streaming-in-2020/#:∼:text=Most%20Streamed%20Songs%20Globally,1.6%20billion%20streams%20this%20year.

2. F. Pachet and C.S.L. Sony, “Hit song science,” in Music data mining. NY, US: Taylor & Francis, 2012, ch. 10, pp. 305–326. [Online]. Available: https://csl.sony.fr/wp-content/themes/sony/uploads/pdf/pachet-11a.pdf.

3. A. McCabe, “Why Big Data Has Been (Mostly) Good for Music,” wired.com, Dec. 23, 2019. [Online]. Available: https://www.wired.com/story/big-data-music/.

4. K. Middlebrook and K. Sheik, “Song hit prediction: Predicting billboard hits using spotify data,” arXiv preprint, Sep. 2019. [Online]. Available: https://arxiv.org/pdf/1908.08609.pdf

5. Music intelligence: Granular data and prediction of top ten hit songs

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