Date of Original Version
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-28551-6_31
Abstract or Description
Structured sparse coding and the related structured dictionary learning problems are novel research areas in machine learning. In this paper we present a new application of structured dictionary learning for collaborative filtering based recommender systems. Our extensive numerical experiments demonstrate that the presented method outperforms its state-of-the-art competitors and has several advantages over approaches that do not put structured constraints on the dictionary elements.
Lecture Notes in Computer Science, 7191, 247-254.