A personalized graph-based document ranking model using a semantic user profile
作者： Mariam Daoud , Lynda Tamine , Mohand Boughanem
DOI: 10.1007/978-3-642-13470-8_17
关键词:
摘要: The overload of the information available on web, held with diversity user needs and ambiguity their queries have led researchers to develop personalized search tools that return only documents meet profile representing his main interests We present in this paper a document ranking model based an extended graph-based distance measure exploits semantic derived from predefined web ontology (ODP) is combining Minimum Common Supergraph (MCS) Maximum Subgraph (mcs) between graphs respectively extend order take into account recovery through common concepts cross links connecting two Results show effectiveness our compared Yahoo results.
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