A study on individualized intelligent web search based on neural networks

In view of defects of the web search engine in users' individualization and declining rate of effective search, the author proposes and develops a neural networks-based intelligent search model, which is aimed at pre-processing users' behavioural information, mining valuable messages for users with neural networks and building knowledge base so as to bring a new search into being. Statistics show that this model has good overall performance.