[Elsnet-list] Call for late-breaking demos - WOMRAD: Workshop on Music Recommendation and Discovery, Barcelona. September, 26th 2010

Amelie Anglade amelie.anglade at elec.qmul.ac.uk
Mon Aug 2 17:52:06 CEST 2010

  Dear all,

Apologies for any cross-posting.

We would like to invite you to submit late-breaking demos to the 
Workshop on Music Recommendation and Discovery.
Such submissions should present very recent work, preliminary results, 
ideas and prototypes in the field of Music Recommendation and Discovery 
in the form of 1-page abstracts. Authors of the selected abstracts will 
be invited to present their work during demo/poster sessions that will 
be held through the day during the workshop.

++ WOMRAD - Workshop on Music Recommendation and Discovery

In conjunction with ACM Recommender Systems 2010

++ September, 26th. Barcelona, Spain

We are pleased to invite you to participate in the premier event on 
research and applications of music recommendation and discovery, a 
workshop held in conjunction with the Fourth ACM Conference on 
Recommender Systems.

The Workshop on Music Recommendation and Discovery (WOMRAD) is meant to 
be a platform where the Recommender System, Music Information Retrieval, 
User Modeling, Music Cognition, and Music Psychology communities can 
meet, exchange ideas and collaborate.


. Music recommendation algorithms
. Theoretical aspects of music recommender systems
. User modeling in music recommender systems
. Similarity Measures, and how to combine them
. Novel paradigms of music recommender systems
. Social tagging in music recommendation and discovery
. Social networks in music recommender systems
. Novelty, familiarity and serendipity in music recommendation and 
. Exploration and discovery in large music collections
. Evaluation of music recommender systems
. Evaluation of different sources of data/APIs for music recommendation 
and exploration
. Context-aware, mobile, and geolocation in music recommendation and 
. Case studies of music recommender system implementations
. User studies
. Innovative music recommendation applications
. Interfaces for music recommendation and discovery systems
. Scalability issues and solutions
. Semantic Web, Linking Open Data and Open Web Services for music 
recommendation and discovery

. Late-breaking Demo Submission
     23rd August 2010

     The authors are asked to submit an 1-page extended abstract in the 
standard ACM SIG proceedings format.
     More details, template and link to the submission page here: 


. Amélie Anglade - Centre for Digital Music, Queen Mary University of 
London, UK
. Claudio Baccigalupo - Ph.D. at the Artificial Intelligence Research 
Institute, IIIA-CSIC, Barcelona, Spain
. Norman Casagrande - last.fm, London, UK
. Òscar Celma - BMAT, Barcelona, Spain
. Paul Lamere - The Echo Nest, Somerville, MA, US

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