Document Ontology Based Personalized Filtering System

摘要

We preopose the use of the personalized ontology model to improve the effectiveness of web doucments filtering process. One improtant feature of this model is that by constructing the user specific ontology, web documents can be classified by using the user oriented meta data that reflects the user's view about the documents concept. Another is that by applying the user model to searching the clasisfied documetns, we rachieved the effective document search performance. To find the user's preference, Bayesian Learmer accepts uer's interests flow as an input and writes output to users profile. Base don those user profiles, user specific ontologies are constructed to provide efficient search environment.