Iterative Filtering for a Dynamical Reputation System

  title={Iterative Filtering for a Dynamical Reputation System},
  author={Cristobald de Kerchove and Paul Van Dooren},
The paper introduces a novel iterative method that assigns a reputation to n + m items: n raters and m objects. Each rater evaluates a subset of objects leading to a n × m rating matrix with a certain sparsity pattern. From this rating matrix we give a nonlinear formula to define the reputation of raters and objects. We also provide an iterative algorithm that superlinearly converges to the unique vector of reputations and this for any rating matrix. In contrast to classical outliers detection… CONTINUE READING
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