Modeling of Personalized Recommendation System Based on Ontology

Abstract

These models are designed to enable personalized recommendation to handle the semantic phenomenon. Based on ontology, the method of document feature extraction and user interest model were improved. Two personalized recommendation models were proposed for different scenes. Taking the Web pages about vehicle for example, results show that the model can do personalized recommendation effectively, and recommended results corresponded with the user's real and original interest.