A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces

In this paper, we propose a biclustering-based approach to identify dishonest advisors (who provide misleading opinions about sellers), while evaluating seller trustworthiness on multiple criteria. It considers correlation between advisors’ ratings to various criteria and trust transitivity to accurately filter the dishonest advisors. Evaluation results demonstrate the robustness of our approach against various types of unfair rating attacks.