Mixtape Application: Last.fm Data Characterization
نویسندگان
چکیده
This report analyses data collected from Last.fm 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.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1605.08486 شماره
صفحات -
تاریخ انتشار 2015