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Learning Implicit User Interests Using Ontology and Search History for Personalization
[chapter]
Web Information Systems Engineering – WISE 2007 Workshops
The key for providing a robust context for personalized information retrieval is to build a library which gathers the long term and the short term user's interests and then using it in the retrieval process in order to deliver results that better meet the user's information needs. In this paper, we present an enhanced approach for learning a semantic representation of the underlying user's interests using the search history and a predefined ontology. The basic idea is to learn the user's
doi:10.1007/978-3-540-77010-7_31
dblp:conf/wise/DaoudTBC07
fatcat:whybosum6zasbemls2htdsq2aa