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WOMRAD 2010 : Workshop on Music Recommendation and Discovery | |||||||||||||||
Link: http://womrad.org/2010/ | |||||||||||||||
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Call For Papers | |||||||||||||||
++ WOMRAD - Workshop on Music Recommendation and Discovery
http://womrad.org ++ In conjunction with ACM Recommender Systems 2010 http://recsys.acm.org/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. - TOPICS OF INTEREST . 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 discovery . 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 discovery . 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 - IMPORTANT DATES . Full Paper Submission: June, 28th . Notification of Results: July, 22nd . Camera Ready Submission: August, 9th - PAPER FORMAT & SUBMISSION All the details can be found in: http://womrad.org/submission/ - ORGANIZERS . 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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