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Songrium: a music browsing assistance service based on visualization of massive open collaboration within music content creation community

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Published:05 August 2013Publication History

ABSTRACT

This paper describes a music browsing assistance service, Songrium (http://songrium.jp), that helps a user enjoy songs while seeing visualization of open collaboration. Songrium focuses on open collaboration for music content creation on the most popular Japanese video-sharing service. Since this open collaboration generates more than half a million video clips with a rich variety of music content, we call it massive open collaboration. To develop a shared understanding of this collaboration we have analyzed, we developed Songrium that visualizes relations among both original songs and derivative works generated from the collaboration. Songrium also features a social annotation framework to verbalize and share various relations among songs, and a flexible ranking mechanism to find interesting songs. After we launched Songrium in August 2012, more than 7,000 users have used our service in which over 98,000 songs and 520,000 derivative works have automatically been registered. We hope Songrium will not only encourage creators to create more derivative works, but also attract consumers to participate in the collaboration as creators.

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  1. Songrium: a music browsing assistance service based on visualization of massive open collaboration within music content creation community

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          • Published in

            cover image ACM Other conferences
            WikiSym '13: Proceedings of the 9th International Symposium on Open Collaboration
            August 2013
            248 pages
            ISBN:9781450318525
            DOI:10.1145/2491055

            Copyright © 2013 Owner/Author

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 5 August 2013

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            WikiSym '13 Paper Acceptance Rate22of43submissions,51%Overall Acceptance Rate69of145submissions,48%

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