Computer Science and Information Technology Vol. 3(6), pp. 256 - 263
DOI: 10.13189/csit.2015.030604
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A Ranking Algorithm for Mitigating the Influence of Contrived Ratings on Review Sites

Keiichi Endo ^*, Ryoki Horio , Dai Okano
Graduate School of Science and Engineering, Ehime University, Matsuyama 790-8577, Japan

ABSTRACT

In this paper, we propose a ranking algorithm for mitigating the influence of contrived ratings by spammers that try to manipulate rankings on review sites. We set a credibility level for each user, which is determined using the Pearson correlation coefficient of the rating given to an object by the user and estimated quality of the object. The estimated quality is the average value of the ratings weighted with the credibility level of raters. We propose a method that uses a provisional estimated quality calculated by eliminating the rating of a user when calculating that user's credibility level. Furthermore, we propose a method that considers the number of ratings given to an object when calculating the estimated quality of the object. Moreover, we demonstrate the superiority of the proposed methods by conducting a comparative experiment using an actual data set.

KEYWORDS
Ranking Algorithm, Review Sites, Spammers

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Keiichi Endo , Ryoki Horio , Dai Okano , "A Ranking Algorithm for Mitigating the Influence of Contrived Ratings on Review Sites," Computer Science and Information Technology, Vol. 3, No. 6, pp. 256 - 263, 2015. DOI: 10.13189/csit.2015.030604.

(b). APA Format:
Keiichi Endo , Ryoki Horio , Dai Okano (2015). A Ranking Algorithm for Mitigating the Influence of Contrived Ratings on Review Sites. Computer Science and Information Technology, 3(6), 256 - 263. DOI: 10.13189/csit.2015.030604.