Using agents to personalize the Web
Proceedings of the 2nd international conference on Intelligent user interfaces
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
A Method of Improving Feature Vector for Web Pages Reflecting the Contents of Their Out-Linked Pages
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
A Method for Integration of WordNet-Based Ontologies Using Distance Measures
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
A Method for Integration across Text Corpus and WordNet-Based Ontologies
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A Hybrid Method for Integrating Multiple Ontologies
Cybernetics and Systems
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Contextual information search based on ontological user profile
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
An ontology based model for experts search and ranking
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Ontology-based user profile learning
Applied Intelligence
Construction of semantic user profile for personalized web search
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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The main goal of this research is to investigate the techniques that implicitly build ontology-based user profiles . In particular, automatically building profiles based on user's information (blogs, publications, home pages,...) generated from the internet. We proposed a framework to search the user details to build profile automatically. An initial profile is constructed with user interest in hierarchical manner and this profile is learned by assigning user details collected by our search method. Main focused on how quickly we can collect user's information and achieve a profile stability, and how effectively improve profiles. Along with the framework we also consider a new method to extract feature from document. A Wordnet and Lexico-syntactic pattern for hyponyms approach is applied to export the important feature of document to represent the profile ontology. The user profile further improved by learning interesting knowledge from similar profiles.