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International Conference on Social Informatics

SocInfo 2014: Social Informatics pp 244-258 | Cite as

Can Diversity Improve Credibility of User Review Data?

  • Yoshiyuki Shoji
  • Makoto P. Kato
  • Katsumi Tanaka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8851)

Abstract

In this paper, we propose methods to estimate the credibility of reviewers as an individual and as a group, where the credibility is defined as the ability of precisely estimating the quality of items. Our proposed methods are built on two simple assumptions: 1) a reviewer who has reviewed many and diverse items has high credibility, and 2) a group of reviewers is credible if the group consists of many and diverse reviewers. To verify the two assumptions, we conducted experiments with a movie review dataset. The experimental results showed that the diversity of reviewed items and reviewers was effective to estimate the credibility of reviewers and reviewer groups, respectively. Therefore, yes, the diversity does improve the credibility of user review data.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yoshiyuki Shoji
    • 1
  • Makoto P. Kato
    • 1
  • Katsumi Tanaka
    • 1
  1. 1.Department of Social Informatics, Graduate School of InformaticsKyoto UniversityKyotoJapan

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