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

Authors:
Debbie Zhang;Simeon Simoff;Silvana Aciar;John Debenham
Affiliations:
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
Venue:
International Journal of Intelligent Information and Database Systems
Year:
2008

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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.