Key technologies research of network information filtering based on Improved Genetic Algorithms

Along with the development of the Internet, how to manage and control network information resources effectively has become a hot research. In this paper, we discussed key technologies of network information filtering: feature selection and learning algorithm. Based on feature subset generated by feature selection would affect the filtering accuracy, we proposed an improved feature selection method CHIIDF, using this method to remove redundant features, then using annealing genetic algorithm to learn and to get user profile. Finally, we developed the system of network information filtering and analyzed the data that achieved good results.