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Collaborative Filtering via Group-Structured Dictionary Learning

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journal contribution
posted on 01.03.2012 by Zoltan Szabo, Barnabas Poczos, Andras Lorincz

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.

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Publisher Statement

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-28551-6_31

Date

01/03/2012

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