A graph distance metric combining maximum common subgraph and minimum common supergraph
Pattern Recognition Letters
A New Error-Correcting Distance for Attributed Relational Graph Problems
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
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Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
Web search personalization with ontological user profiles
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A session based personalized search using an ontological user profile
Proceedings of the 2009 ACM symposium on Applied Computing
Towards a graph-based user profile modeling for a session-based personalized search
Knowledge and Information Systems
Synthesis of collective tag-based opinions in the socialweb
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Extracting semantic user networks from informal communication exchanges
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A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques
Information Processing and Management: an International Journal
Evaluating ontology-based user profiles
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Personal ontologies: Generation of user profiles based on the YAGO ontology
Information Processing and Management: an International Journal
Proceedings of the VLDB Endowment
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The overload of the information available on the web, held with the diversity of the user information needs and the ambiguity of their queries have led the researchers to develop personalized search tools that return only documents that meet the user profile representing his main interests and needs We present in this paper a personalized document ranking model based on an extended graph-based distance measure that exploits a semantic user profile derived from a predefined web ontology (ODP) The measure is based on combining Minimum Common Supergraph (MCS) and Maximum Common Subgraph (mcs) between graphs representing respectively the document and the user profile We extend this measure in order to take into account a semantic recovery between the document and the user profile through common concepts and cross links connecting the two graphs Results show the effectiveness of our personalized graph-based ranking model compared to Yahoo search results.