Journal article

A robust ranking algorithm to spamming

  • Zhou, Yan-Bo Département de Physique, Université of Fribourg, Switzerland
  • Lei, Ting Département de Physique, Université of Fribourg, Switzerland
  • Zhou, Tao Web Sciences Center, University of Electronic Science and Technology of China, Chengdu, China
Published in:
  • EPL - Europhysics Letters. - 2011, vol. 94, no. 4, p. 48002
English Ranking problem of web-based rating systems has attracted much attention. A good ranking algorithm should be robust against spammer attack. Here we proposed a correlation-based reputation algorithm to solve the ranking problem of such rating systems where user votes some objects with ratings. In this algorithm, the reputation of a user is iteratively determined by the correlation coefficient between his/her rating vector and the corresponding objects' weighted average rating vector. Comparing with iterative refinement (IR) and mean score algorithm, results for both artificial and real data indicate that the present algorithm shows a higher robustness against spammer attack.
Faculté des sciences et de médecine
Département de Physique
  • English
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