Analysis of robustness in trust-based recommender systems

  title={Analysis of robustness in trust-based recommender systems},
  author={Zunping Cheng and Neil J. Hurley},
Much research has recently been carried out on the incorporation of trust models into recommender systems. It is generally understood that trust-based recommender systems can help to improve the accuracy of predictions. Moreover they provide greater robustness against profile injection attacks by malicious users. In this paper we analyze these contentions in the context of two trust-based algorithms. We note that one of the characteristics of trust-based algorithms is that ratings are often… CONTINUE READING
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