Save the date: 26th September 2010 for The Workshop on Music Recommendation and Discovery being held in conjunction with ACM RecSys in Barcelona, Spain. At this workshop, community members from the Recommender System, Music Information Retrieval, User Modeling, Music Cognition, and Music Psychology can meet, exchange ideas and collaborate.
Topics of interest
Topics of interest for Womrad 2010 include:
- 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
More info: Wormrad 2010 Call for papers
#1 by Adrian A on June 2, 2010 - 11:25 am
Cool concept. I know that when I listen to Pandora I have to spend at least a few hours with a new station “teaching” the application what music I’m really interested in.
For instance, I like the hip-hop artist Cage… but I really don’t like much of the Eastern Conference Records label aside from him…
So I have to keep telling Pandora, no I like more of the Cage post EC Records era (Denfinitive Jux, etc.) work. It should be able to figure that out by adding Aesop Rock as a related artist I like with him, and putting a thumbs down to The High & Mighty that I want that kind of egg-head odd/abstract indie hip-hop, and not the indie drug glorifying kind with my Cage station.
Also the more obscure the artist, the more difficult it is for Pandora to accurately create a station that serves it (UK breakbeat artist Evil Nine for instance).