An information filtering approach for the page zero problem

Authors:
Djemel Ziou;Sabri Boutemedjet
Affiliations:
DI, Faculté des Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada;DI, Faculté des Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
Venue:
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Year:
2006

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Abstract

In this paper we present a new approach for interacting with visual document collections. We propose to model user preferences related to visual documents in order to recommend relevant content according to the user's profile. We have formulated problem as prediction problem and we propose VC-Aspect our flexible mixture model which handles implicit associations between users and the visual features of images. We have implemented the model within a CBIR system and results showed that such approach reduced greatly the page zero problem especially for small devices such as smart-phones and PDAs.