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| User Interest Model Update Mechanism in Personalized Information Retrieval |
| Xuyang Wang, Li Wan |
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Abstract In order to better realize the personalized information retrieval
service, the key is dynamically updating user interest model. This
paper puts forward a user interest model based on ontology, First by
analyzing the user browsing behavior in the Web environment, we
improve the calculation method of interest right value. And then,
according to the characteristics of the web document to improve the
TF-IDF algorithm, in this foundation we propose the user interest
model updating and forgetting mechanism. The experiments show that
the method can capture the change of user interests, further improve
the accuracy of personalized information retrieval and user
satisfaction.
DOI: 10.12733/jics20101719
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