Sajad Ahmadian

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Training a back propagation neural network is an optimization problem to find optimal weight set in training process. The back propagation neural network can fall into a local minimum point during learning of training patterns. Therefore, evolutionary algorithms can be used to train this neural network to obtain suitable initial weight set. In this paper, a(More)
Trust-aware recommender systems are programs that make use of trust information and user personal data in social networks to provide personalized recommendations. In this paper we propose a model to improve the accuracy of trust-aware recommender systems using reliability measurements. We use these measurements to assess the reliability of a prediction and(More)
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