A multi agent recommender system that utilises consumer reviews in its recommendations. (21st February 2008)

• Record Type: Journal Article
• Authors: Zhang, Debbie; Simoff, Simeon; Aciar, Silvana; Debenham, John
• Is Part Of: International journal of intelligent information and database systems. Volume 2:Number 1(2008)
• Page Start: 69
• Page End: 81
• Publication Date: 2008-02-21
• Subjects: recommender systems -- multi-agent systems -- MAS -- text mining -- ontology -- intelligent agents -- agent-based systems -- consumer reviews -- consumer preferences -- digital camera reviews; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

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.