Web Information Extraction Model Based on Bayes Network
Tan Long-jiang · Journal of Sichuan University of Science & Engineering · 2011
Historical information,real-time information and gossip can weaken the main ideas of Web sites and lead some information to conceal.In order to deal them,a Web site information extraction model is proposed based on Bayes Network.And its model structure,data structure and processing flows are given as following.The model utilizes information extraction technologies to get subjective key information and so on.Then Bayes Network is used to classify and assemble customers' requests.Simulation results and customers' applications show that the model can extract more accurate customers' tendency and have better real-time than the traditional does.