A normal-distribution based rating aggregation method for generating product reputations
Data(s) |
2015
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Resumo |
With the extensive use of rating systems in the web, and their significance in decision making process by users, the need for more accurate aggregation methods has emerged. The Naïve aggregation method, using the simple mean, is not adequate anymore in providing accurate reputation scores for items [6 ], hence, several researches where conducted in order to provide more accurate alternative aggregation methods. Most of the current reputation models do not consider the distribution of ratings across the different possible ratings values. In this paper, we propose a novel reputation model, which generates more accurate reputation scores for items by deploying the normal distribution over ratings. Experiments show promising results for our proposed model over state-of-the-art ones on sparse and dense datasets. |
Formato |
application/pdf |
Identificador | |
Publicador |
IOS Press |
Relação |
http://eprints.qut.edu.au/84694/13/84694.pdf DOI:10.3233/WEB-150306 Abdel-Hafez, Ahmad, Xu, Yue, & Josang, Audun (2015) A normal-distribution based rating aggregation method for generating product reputations. Web Intelligence, 13(1), pp. 43-51. |
Direitos |
Copyright 2015 IOS Press |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080000 INFORMATION AND COMPUTING SCIENCES #080400 DATA FORMAT #080600 INFORMATION SYSTEMS #080605 Decision Support and Group Support Systems #Reputation model #ratings aggregation #ratings prediction #uncertainty |
Tipo |
Journal Article |