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arXiv · 1201.0341

Collaborative Filtering via Group-Structured Dictionary Learning

Zoltan Szabo·Barnabas Poczos·Andras Lorincz
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Abstract

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 technique 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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Zoltan Szabo, Barnabas Poczos, Andras Lorincz. 2012-01-01. Collaborative Filtering via Group-Structured Dictionary Learning. https://doi.org/10.1007/978-3-642-28551-6_31

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