Title: A multi agent recommender system that utilises consumer reviews in its recommendations

Authors: Debbie Zhang, Simeon Simoff, Silvana Aciar, John Debenham

Addresses: Faculty of IT, University of Technology, Sydney, P. Box 123 Broadway 2007, Australia. ' College of Health and Science, University of Western Sydney, Locked Bag 1797, South Penrith DC, NSW 1797, Australia. ' University of Girona, Campus Montilivi, Building P4, 17071 Girona, Spain. ' Faculty of IT, University of Technology, Sydney, P. Box 123 Broadway 2007, Australia

Abstract: Consumer reviews, opinions and shared experiences in the use of a product form a powerful source of information about consumer preferences that can be used for making recommendations. A novel approach, which utilises this valuable information sources first time to create recommendations in recommender agents was recently developed by Aciar et al. (2007). This paper presents a general framework of this approach. The proposed approach is demonstrated using digital camera reviews as an example.

Keywords: recommender systems; multi-agent systems; MAS; text mining; ontology; intelligent agents; agent-based systems; consumer reviews; consumer preferences; digital camera reviews.

DOI: 10.1504/IJIIDS.2008.017245

International Journal of Intelligent Information and Database Systems, 2008 Vol.2 No.1, pp.69 - 81

Published online: 20 Feb 2008 *

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