Computer Science > Social and Information Networks
[Submitted on 27 May 2016]
Title:Mixtape Application: Last.fm Data Characterization
View PDFAbstract:This report analyses data collected from this http URL and used to create a real-time recommendation system. We collected over 2M songs and 1M tags and 372K user's listening habits. We characterize users' profiles: age, playcount, friends, gender and country. We characterized song, artist and tag popularity, genres of songs. Additionally we evaluated the co-occurrence of songs in users' histories, which can be used to compute similarity between songs.
Submission history
From: Luciana Fujii Pontello [view email][v1] Fri, 27 May 2016 01:18:38 UTC (967 KB)
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