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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Construction of Semantic User Profile for Personalized Web Search
verfasst von : Mohammed Nazim Uddin, Trong Hai Duong, Visal Sean, Geun-Sik Jo
Erschienen in: Computational Collective Intelligence. Technologies and Applications
Verlag: Springer Berlin Heidelberg
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User profile is an essential component for accessing the personalized information from the Web. Efficiency of personalized accessed information highly depends on how to model the user details to construct user profile. Previously, user profile was constructed by collecting list of keywords to inferring user interests. These kinds of approaches are not sufficient for many applications. In this paper, we have proposed a new method for constructing semantic user profile for personalized information access. User’s query is extended using ontological profile for generation of personalized search context. Experimental results show that our method of constructing semantic profile is effective for searching information with individual needs.