- Title
- Instilling similarity rating model to combat malicious raters
- Creator
- Pranata, Ilung; Athauda, Rukshan
- Relation
- International Journal of Computer and Communication Engineering Vol. 4, Issue 5, p. 298-308
- Publisher Link
- http://dx.doi.org/10.17706/ijcce.2015.4.5.298-308
- Publisher
- International Academy Publishing
- Resource Type
- journal article
- Date
- 2015
- Description
- The rapidly growing popularity of auction and rating websites has given rise to an increase use of ratings in online environment. However, many of these websites do not take into consideration several issues in ratings such as malicious raters, different user perceptions, number of available ratings and others. Thus, this creates mistrust between online buyers and products/services that the websites offer. In this paper, we discuss various issues faced by the current online rating systems. We then propose a rating model, termed as CPR (Credible and Personalised Rating), to address some of these issues. We demonstrate how our rating model can be implemented in both centralized and decentralized architectures. In addition, several experiments are conducted to study the effectiveness of our rating model to combat malicious and bogus ratings.
- Subject
- rating model; trust; reputation; e-commerce
- Identifier
- http://hdl.handle.net/1959.13/1339658
- Identifier
- uon:28308
- Identifier
- ISSN:2010-3743
- Rights
- © 2015 IJCCE under a Creative Commons attribution-noncommerical license CC BY-NC-ND 4.0. Users of the author's published article are free to use, distribute, reproduce, and create adapted works using the published paper, but only where the use is for non-commercial purposes and IJCCE and the author are properly attributed.
- Language
- eng
- Full Text
- Reviewed
- Hits: 756
- Visitors: 889
- Downloads: 179
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT02 | Publisher version (open access) | 1 MB | Adobe Acrobat PDF | View Details Download |