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A method of constructing user interest model based on semantics

In this paper, the representation method of user interest model is a combination of vector space model with Ontology. It introduces the algorithm of semantic similarity when calculating the term weight, and considers the semantic similarity of words, and then the term weight is updated through the Bayesian network. This paper focuses on the steps of building and updating the user interest model, and verified the validity of the model by experiment.