A System of Web Information Prediction in Internet Environment Using Ensemble Support Vector Machine and A Methode Thereof

PURPOSE: A system and a method for predicting/offering web information of an Internet environment using the ESVM(Ensemble Support Vector Machine) are provided to offer the most proper web information by analyzing behavior of users on the Internet environment, and solve a scarcity problem of web log data at a high speed/accuracy by using continuous feedback information and designing the ESVM. CONSTITUTION: A web log data extractor(10) extracts click stream information of the users from log data of a web server. A data preprocessor(20) extracts only the information needed for constructing a model by refining/filtering the log data. A prediction model constructor(40) makes a web page preference predicting model for the user with the ESVM(Ensemble Support Vector Machine) using the data processed in the preprocessor as learning data and applying kernel functions, and predicts user's preference of each page by using test data(60). A preference predictor(70) predicts the user's preference of each page by applying information obtained from the test data to the model using the ESVM for all web pages.