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The constructing and updating of user interest model, determines the accuracy of the user information representation, and directly influences the service quality for the users. This paper will show you by introducing some browsing action data into user interest model updating strategy, carrying on the experiment by using the designed system, and obtaining(More)
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(More)
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