Ontology-based product's reputation model


Autoria(s): Abdel-Hafez, Ahmad; Xu, Yue
Contribuinte(s)

Raghaven, Vijay

Hu, Xiaolin

Liau, Churn-Jung

Treur, Jan

Data(s)

2013

Resumo

Different reputation models are used in the web in order to generate reputation values for products using uses' review data. Most of the current reputation models use review ratings and neglect users' textual reviews, because it is more difficult to process. However, we argue that the overall reputation score for an item does not reflect the actual reputation for all of its features. And that's why the use of users' textual reviews is necessary. In our work we introduce a new reputation model that defines a new aggregation method for users' extracted opinions about products' features from users' text. Our model uses features ontology in order to define general features and sub-features of a product. It also reflects the frequencies of positive and negative opinions. We provide a case study to show how our results compare with other reputation models.

Identificador

http://eprints.qut.edu.au/66882/

Publicador

IEEE

Relação

DOI:10.1109/WI-IAT.2013.146

Abdel-Hafez, Ahmad & Xu, Yue (2013) Ontology-based product's reputation model. In Raghaven, Vijay, Hu, Xiaolin, Liau, Churn-Jung, & Treur, Jan (Eds.) Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technology (IAT), IEEE, Atlanta, Georgia, pp. 37-40.

Direitos

Copyright © 2013 by The Institute of Electrical and Electronics Engineers, Inc.

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Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Reputation model #Feature ontology #Opinion mining #Rating aggregation
Tipo

Conference Paper