Study Of The Personalized Information Recommendation System Based On Ontology

That the mass of network information increasing the burden on information queries leads that it is difficult for people to find the information which they are genuinely interested in from the ocean of information. Users have different information needs, but now the Internet returns the same information content to the same expression of information queries demand without considering the users' personality. With the rapid development of science and technology, we must not only meet the request of the information query convenience, but also ensure the quality of the information returned As far as possible, so personalized information services develops timely. Personalized information services can return the information the users are really interested in according to different information queries, so it replaced the traditional information service model into a new information service model.Present personalized information recommendation systems according to the technology they use can be divided into rule-based recommendation systems, content-based recommendation systems and recommendation systems based on cooperation. The three recommended techniques are inadequate, for example, with the increasing number of rules in rule-based recommendation systems, rules of management will become more difficult,and due to the lack of semantic information, the information content-based recommendation systems provides to users can not meet the users' real interests, and in some cases, that the users recommendation systems based on cooperation found are not the most similar with the current user on interests leads that the current information systems eventually provided to the current user are not his most interesting information.In order to solve the shortage of the present information recommendation systems, this paper analyzed the meanings of ontology, the component of ontology, the basis tools to build ontology and set up a field ontology on parts of the concepts of digital library field. This paper not only make use of ontology to express texts but also build an improved user interest model based on ontology which can fully express the user interests. As the introduction of ontology the matching of keywords between the text and user interest models is no longer simply ,but this matching is Semantic-level matching.The systems which was inserted ontology into can greatly improve the quality of the recommended information, so they are able to provide personalized information service better.