Abstract
Information overload on the Internet is becoming more and more insufferable. The accurate representation of user interests is crucial to a successful information filtering system that are used to solve the issue of information overload. To model the users’ interests more effectively, this paper investigate how to collect user tags from folksonomy and map them onto an existing domain ontology. The experiment that integrates our user interest profile model to a Web Search Engine shows that our approach can accurately capture user’s multiple interests at the semantic level, and thus the personalized search performance is significantly improved compared with the state-of-the-art approaches.
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Han, X., Shen, Z., Miao, C., Luo, X. (2010). Folksonomy-Based Ontological User Interest Profile Modeling and Its Application in Personalized Search. In: An, A., Lingras, P., Petty, S., Huang, R. (eds) Active Media Technology. AMT 2010. Lecture Notes in Computer Science, vol 6335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15470-6_6
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DOI: https://doi.org/10.1007/978-3-642-15470-6_6
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