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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 232-236
ABSTRACT
Web page recommendation model traces users’ web-surfing trails, extracts the useful information including keywords, web page URLs and users’ evaluations on web pages, and automatically generates FCA(Formal Concept Analysis) knowledge base and enterprise ontology knowledge base with WordNet. While users are surfing, the system reasons based on the above two knowledge bases, recommends those relative web pages to users and enables enterprise knowledge sharing with social navigation and semantic expansion.
INDEX TERMS
recommendation system, FCA, enterprise ontology
CITATION
Hong Li, Da Huang, "The Research of Web Page Recommendation Model Based on FCA and Enterprise Ontology", Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE, vol. 01, no. , pp. 232-236, 2008, doi:10.1109/PACIIA.2008.157
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