A Multi Agent Recommender System that Utilises Consumer Reviews in its Recommendations

Publisher:
Inderscience
Publication Type:
Journal Article
Citation:
International Journal of Intelligent Information and Database Systems, 2008, 2 (1), pp. 69 - 81
Issue Date:
2008-01
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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.
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