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• [P777] A Broker-Assisting Trust and Reputation System Based on Artificial Neural Network
  Author(s): Bo Zong, Feng Xu, Jun Jiao, Jian Lv
  
  

  Abstract
  We propose a novel and flexible trust computation model based on artificial neural networks. With the advantages of ANN, our trust model tunes the parameters automatically to adapt to various personal requirements. We propose a broker-assisting information collection strategy based on clustering method. With the support of brokers, subcommunities are managed by reputation mechanism in an efficient and scalable way and help their members collect information with high quality. We show the performance of our trust and reputation system by simulation.

  
   

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