Home // ICIW 2011, The Sixth International Conference on Internet and Web Applications and Services // View article
Authors:
Ana Sasa
Yasushi Kiyoki
Shuichi Kurabayashi
Xing Chen
Marjan Krisper
Keywords: product recommendation; image retrieval; E-business; service-oriented architecture
Abstract:
This paper points out that achievements in the field of multimedia analysis and retrieval represent an important opportunity for improvement of recommender system mechanisms. Online shopping systems use various recommender systems; however a study of different approaches has shown that they do not exploit the potential of information carried by multimedia product data for product recommendations. We demonstrate how this can be accomplished by a personalized recommender system model that is based on analysis of colour features of product images. We present an approach for extraction of colour-properties of images in order to represent impressions related to the human perception of images. Colour-properties are based on image colour histograms, psychological properties of colours and a learning mechanism. Based on the extracted colour-properties, the method retrieves and ranks the images corresponding to the desired impressions. The architectural framework of the model is based on service-oriented architecture in order to promote its flexibility and reuse, which is important when applying the model to existing recommender system environments. An experimental study was performed for decorative photography domain.
Pages: 124 to 129
Copyright: Copyright (c) IARIA, 2011
Publication date: March 20, 2011
Published in: conference
ISSN: 2308-3972
ISBN: 978-1-61208-124-3
Location: St. Maarten, The Netherlands Antilles
Dates: from March 20, 2011 to March 25, 2011