Research on the Construction of Personalized Active Information Service Model in Digital Library

Based on study of user's behaviors, interests, hobbies, professional fields and habits, personalized active information service in digital library is a kind of information service which takes the user's personalized needs as the center. Its key technologies includes user modeling technology, intelligent agent technology, ontology technology, Web data mining, personalized recommendation technology and information push technology etc. Based on the, above technologies, this paper constructs a kind of multi-technology personalized active information service model, which can give full play to superiority of various technologies, and has the feature of intelligence. The model applies the technology of user modeling, ontology, intelligent agent, and draws on the general principle of personalized active information service, which is characterized by self-learning, self-renewal and other intelligent elements.