SYSTEM FOR RECOMMENDING PERSONALIZED MEANING-BASED WEB-DOCUMENT AND ITS METHOD

SYSTEM FOR RECOMMENDING PERSONALIZED MEANING-BASED WEB-DOCUMENT AND ITS METHOD

A system for recommending a personalized meaning based web document and a method thereof are provided to recommend a personalized web document to which intention of a user is exactly reflected by using a generalized ontology and a preference information ontology. A web document collector produces a...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CHOI, JOONG MIN, KANG, JIN BEOM
Format: Patent
Sprache:eng ; kor
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:A system for recommending a personalized meaning based web document and a method thereof are provided to recommend a personalized web document to which intention of a user is exactly reflected by using a generalized ontology and a preference information ontology. A web document collector produces a generalization ontology about at least one collected web document(S107). A preference information generator produces preference information of a user about the produced instance(S113). The preference information generator reasons a concept of the most similar document to the web document by a concept of the visited web document about instances of an indexed generalization ontology. A document recommend unit recommends one or more web documents to the user from the generalization ontology in consideration of the user preference concept and document similarity(S119).