A Feature-Based Reputation Model for Product Evaluation

Umar Farooq, Antoine Nongaillard (), Yacine Ouzrout and Muhammad Abdul Qadir ()
Additional contact information
Umar Farooq: Department of Computer Science, Abdul Wali Khan University Mardan, Pakistan‡DISP Laboratory, University Lumiere Lyon 2, 160 bd de l’Université, Bron cedex, Lyon, Rhne-Alpes, 69676, France§Department of Computer Science, Capital University of Science and Technology, Islamabad, 44000, Pakistan
Antoine Nongaillard: #x2020;CRIStAL Laboratory, CNRS UMR 9189, Lille University, Cité Scientifique, Villeneuve d’Ascq, Lille, 59650, France
Yacine Ouzrout: #x2021;DISP Laboratory, University Lumiere Lyon 2, 160 bd de l’Université, Bron cedex, Lyon, Rhne-Alpes, 69676, France
Muhammad Abdul Qadir: #xA7;Department of Computer Science, Capital University of Science and Technology, Islamabad, 44000, Pakistan

International Journal of Information Technology & Decision Making (IJITDM), 2016, vol. 15, issue 06, 1521-1553

Abstract: 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 reflect the recent opinions quickly. Most of these systems are based on single source and therefore suffer 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 reflects the newest opinions about product rapidly.

Keywords: Product reputation model; product evaluation; reputation system; feature reputation; ratings aggregation (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622016500358
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:15:y:2016:i:06:n:s0219622016500358

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622016500358

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().