人工神经网络(ANN)为web挖掘技术提供了一种新思路。针对传统聚类方法面对大量动态增长的web日志数据健壮性和灵活性不够的缺点,提出了一种基于自组织映射神经网络的用户信息聚类模型,最后给出的实例证明在此基础上的web页面的个性化推荐算法能够有效地进行Web页面个性化推荐。
Artificial neural network,also known as ANN,has provided a new approach for Web mining. Because traditional clustering method does not perform well in terms of robustness and flexibility when large amount of dynamic Web log data is input, a model which is based on self-organizing map( SOM), is introduced to cluster visitor's information. And according to the results of experiments, the individualized Web page recommendation service based on that model can work effectively.