Study on ontology-based personalized user modeling techniques in intelligent information retrievals

The increasingly innumerable network information makes the way for traditional people to find information become inefficient and tedious, while the personalized information service system let the information come to people, which is an efficient competition tool in the information explosion era. However, the current user´s interest in mining or personalized information recommendation technology is still of one insufficiency or another, so the personalized information recommendation technology needs to be studied more in depth. Ontology as a domain model provides people´s common understanding of the concept of domain and of the conceptual hierarchy, meanwhile its applications effectively reduces its dependence on natural language understanding technology. This paper proposes an ontology-based personalized information recommendation method; while maintaining the advantages of the currently existing personalized recommendation technology, it increases the semantic information, improving the accuracy of information recommendations, to make the personalized recommendation technology more perfect.