The need for music information retrieval with user-centered and multimodal strategies
MIRUM '11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Build your own music recommender by modeling internet radio streams
Proceedings of the 21st international conference on World Wide Web
Inferring personal traits from music listening history
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Automatic positioning data correction for sensor-annotated mobile videos
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Graph-based joint clustering of fixations and visual entities
ACM Transactions on Applied Perception (TAP)
Personalized Music Recommendation in a Mobile Environment
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
A survey of music similarity and recommendation from music context data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Feature learning and deep architectures: new directions for music informatics
Journal of Intelligent Information Systems
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Editor's NoteThis is my first column as editor of the Visions and Views column. I hope that with this column I can bring you ideas that are new and interesting. I want to open a dialog about issues that are important to our field, and could change the direction of our work. I don't intend to write most of the columns, and I am soliciting ideas. Please send me your suggestions, either for issues you would like to discuss, or nominate a colleague who has new and interesting ideas that deserve broader attention.—Malcolm Slaney