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Publisher
Springer, Berlin, Heidelberg
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Authors: Sabri Boutemedjet Djemel Ziou
Publish Date: 2006/9/18
Volume: , Issue: , Pages: 685-696
Abstract
This paper presents a generative graphical model VCAspect for filtering visual documents such as images The proposed VCAspect extends the wellknown Aspect model and combines both content based and collaborative filtering approaches in a unified framework Instead of considering item indices in the model such as modelbased collaborative filtering techniques we use visual features in describing visual documents This allows the model to predict ratings for new visual documents with the same set of parameters Experimental results show the usefulness of such an approach in a real life application such as the content based image retrieval
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