Topics of interest include (but are not limited to):

. 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