Cooperative Recommendation System Based on Ontology Construction

In the traditional information service system, the lack of service personalization and semantic information influences the intelligence of information service, and decreases the quality of service. In this paper, we propose the cooperative recommendation system based on ontology construction. We first construct domain ontology, and construct user interest ontology by the mapping relations between user interest and domain ontology, and then we study the user interest ontology similarity measures. Through identifying the vertical weight by user interest similarity, the horizontal weight by time novelty, we use the improved weighted association rule algorithm to mining the concepts in user interest ontology, and exploit the user interest model. At last, we realize the semantic-based cooperative recommendation oriented to content.