A multi agent recommender system that utilises consumer reviews in its recommendations
Debbie Zhang, Simeon J. Simoff, Silvana Vanesa Aciar, John James Debenham · International Journal of Intelligent Information and Database Systems · 2008
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.