User interest profile classification algorithm based on FCC neural network
基于模糊角分类的神经网络用户兴趣模型分类算法

Fast classification of user interest profile is a key technology for personalization search engine. A new kind of FCC neural network model was presented in this paper. It does not need the binary system input that is usually required by CC4, because it can accept the real vectors input. FCC neural network model works according to the k-nearest neighbor samples' generalization space which users' information falls into. With the increasing of value k, the classification effect becomes close to that of Bayes classification algorithm.