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Program

   9:00 -  9:10 : Welcome

   9:10 - 10:05 : Keynote

  10:10 - 10:30 : Paper Session 1: Time Dependency

  10:30 - 11:00 : Coffee break

  11:00 - 12:10 : Paper Session 2: Social Tagging

  12:10 - 12:50 : Paper Session 3: Computer-Human Interaction
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  13:00 - 15:00 : Lunch (on your own)
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  15:00 - 16:00 : Industrial Panel 

  16:00 - 16:50 : Paper Session 4: Content-based Recommendation

  16:50 - 17:00 : Presentation of the Late-breaking Demos (1 min presentation for each demo)

  17:00 - 17:30 : Coffee break with demos

  17:30 - 18:15 : Paper Session 5: Long Tail

  18:15 - 18:30 : Closing 

Sessions

Proceedings available at CEUR-WS

[ Starts at 10:10 ] Time Dependency

• Rocking around the clock eight days a week: an exploration of temporal patterns of music listening. Perfecto Herrera, Zuriñe Resa and Mohamed Sordo [pdf]

[ Starts at 11:00 ] Social Tagging

• Using Song Social Tags and Topic Models to Describe and Compare Playlists. Benjamin Fields, Christophe Rhodes and Mark d'Inverno [pdf]
• Piloted Search and Recommendation with Social Tag Cloud-Based Navigation. Cédric Mesnage and Mark Carman [pdf]
• A Method for Obtaining Semantic Facets of Music Tags. Mohamed Sordo, Fabien Gouyon and Luís Sarmento [pdf]

[ Starts at 12:10 ] Computer-Human Interaction

• Survey of Music Recommendation Aids. Pirkka Åman and Lassi Liikkanen [pdf]
• The Role People Play in Adolescents' Music Information Acquisition. Audrey Laplante [pdf]

[ Starts at 16:00 ] Content-based Recommendation

• Content-based music recommendation based on user preference examples. Dmitry Bogdanov, Martín Haro, Ferdinand Fuhrmann, Emilia Gómez and Perfecto Herrera [pdf]
• Applying Constrained Clustering for Active Exploration of Music Collections.Pedro Mercado and Hanna Lukashevich [pdf]

[ Starts at 16:50 ] Late-breaking Demos

• Serendipituous Social Shuffle. Cédric S. Mesnage, Romain P. Brixtel, Mark J. Carman [pdf]
• Adaptive Music News Recommendations based on Large Semantic Datasets. Till Plumbaum, Andreas Lommatzsch, Stefan Rudnitzki [pdf]

[ Starts at 17:30 ] Long Tail

• Music Recommendation in the Personal Long Tail: Using a Social-based Analysis of a User's Long-Tailed Listening Behavior. Kibeom Lee, Woon Seung Yeo and Kyogu Lee [pdf]
• Music Recommendation and the Long Tail. Mark Levy and Klaas Bosteels [pdf]

Practical information for Presenters

Papers

• Full papers have 20-min presentations + 5 min Q&A
• Short papers have 15-min presentations + 5 min Q&A
• Authors should report their presence to the workshop organisers in the oral presentation room at least 15 minutes before the start of the session and to set up and make sure that the presentation device work properly
• The oral presentation room will be equipped with a video projector, a microphone and an audio output.

Demos

• Late-breaking demos and demos related to papers will all be introduced during a demo craze session (1 min to introduce your demo) and the demos themselves will run during the afternoon coffee break (5-5:30p.m.).

List of Accepted Papers

• #1 Mark Levy and Klaas Bosteels. Music Recommendation and the Long Tail
• #2 Cédric Mesnage and Mark Carman. Piloted Search and Recommendation with Social Tag Cloud-Based Navigation
• #3 Audrey Laplante. The Role People Play in Adolescents' Music Information Acquisition
• #9 Kibeom Lee, Woon Seung Yeo and Kyogu Lee. Music Recommendation in the Personal Long Tail: Using a Social-based Analysis of a User's Long-Tailed Listening Behavior
• #12 Benjamin Fields, Christophe Rhodes and Mark d'Inverno. Using Song Social Tags and Topic Models to Describe and Compare Playlists
• #13 Dmitry Bogdanov, Martín Haro, Ferdinand Fuhrmann, Emilia Gómez and Perfecto Herrera. Content-based music recommendation based on user preference examples
• #16 Perfecto Herrera, Zuriñe Resa and Mohamed Sordo. Rocking around the clock eight days a week: an exploration of temporal patterns of music listening
• #17 Pirkka Åman and Lassi Liikkanen. Survey of Music Recommendation Aids
• #18 Mohamed Sordo, Fabien Gouyon and Luís Sarmento. A Method for Obtaining Semantic Facets of Music Tags
• #21 Pedro Mercado and Hanna Lukashevich. Applying Constrained Clustering for Active Exploration of Music Collections

Organizers