Titre :

A Feature-Based Reputation Model for Product Evaluation

Auteur(s) :

Farooq, Umar [Auteur]
Décision et Information pour les Systèmes de Production [DISP]
Nongaillard, Antoine [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ouzrout, Yacine [Auteur]
Décision et Information pour les Systèmes de Production [DISP]
Qadir, Muhammad Abdul [Auteur]

Titre de la revue :

International Journal of Information Technology and Decision Making

Pagination :

1521-1553

Éditeur :

World Scientific Publishing

Date de publication :

2016-11

ISSN :

0219-6220

Mot(s)-clé(s) en anglais :

ratings aggregation
feature reputa-tion
Product reputation model
product evaluation
reputation system

Discipline(s) HAL :

Informatique [cs]

Résumé en anglais : [en]

Knowing the strengths and weaknesses of a product is very important for manufacturers and customers to make decisions. Several sentiment analysis systems are proposed to determine the opinions of customers about products ...
Lire la suite >Knowing the strengths and weaknesses of a product is very important for manufacturers and customers to make decisions. Several sentiment analysis systems are proposed to determine the opinions of customers about products and product features. However, the aggregation methods used are not able to estimate a true reputation value and to re°ect the recent opinions quickly. Most of these systems are based on single source and therefore su®er from availability and susceptibility issues. In this paper, we propose a multi-source reputation model where several aggregation methods are introduced in order to evaluate product based on features. In addition, we also propose a method which uses four parameters in order to rank the reputability of each rating before considering it for reputation values. The results show that the proposed model estimates good reputation values even in the presence of biased behaviors, robust to false ratings and re°ects the newest opinions about product rapidly.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL