Music recommendation system based on information extracted from wave data  

Oleh:

Morita, Shohei ; Yokoyama, Shin-Ichiro ; Kaneko, Takeshi

Jenis: Article from Proceeding
Dalam koleksi: ANQ Congress 19-22 October 2010 New Delhi, page 1-9.
Topik: Music; Recommendation system; Wave data
Fulltext: JSQC_Shohei_Morita_Music_recommendation_system.pdf (231.46KB)

Isi artikel

Recently, The circulation of the music data on the Internet has increased. As a result, the chance to buy a variety of music data of every country in the world has increased. When music is purchased on the Internet, the music retrieval by the artist name, the song name, and the genre is possible now. But, an existing music recommendation system cannot recommend it by the content of the tune. In this research, the space was made based on the amount of characteristic extracted from wave data. The purpose is construction of the music recommendation system that uses the made space. This music recommendation system decreases time that the user evaluates music, and can achieve the recommendation of music from which purchase and the evaluation are not controlled.

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