On the use of spreading activation methods in automatic information
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
ONTOCOPI: Methods and Tools for Identifying Communities of Practice
Proceedings of the IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing
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Personalized Web Search For Improving Retrieval Effectiveness
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A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
Probabilistic model for contextual retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Ontology-based personalized search and browsing
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Taxonomy-driven computation of product recommendations
Proceedings of the thirteenth ACM international conference on Information and knowledge management
UCAIR: a personalized search toolbar
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Using hyperlink features to personalize web search
WebKDD'04 Proceedings of the 6th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Evaluation of a hybrid approach of personalized web information retrieval using the FIRE data set
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Combining ontologies and scenarios for context-aware e-learning environments
Proceedings of the 28th ACM International Conference on Design of Communication
A Multi-agent System Using Ontological User Profiles for Dynamic User Modelling
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Personalised search-a hybrid approach for web information retrieval and its evaluation
International Journal of Knowledge and Web Intelligence
Ontology-based user profile learning
Applied Intelligence
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One of the key factors for effective personalization of information access is the user context. We propose a framework which integrates several critical elements that make up the user context, namely, the user's short-term behavior, semantic knowledge from ontologies that provide explicit representations of the domain of interest, and long-term user profiles revealing interests and trends. Our proposed approach involves implicitly building ontological user profiles by assigning interest scores to existing concepts in a domain ontology. These profiles are, therefore, maintained and updated as annotated instances of a reference domain ontology. We propose a spreading activation algorithm for maintaining the interest scores in the user profile based on the user's ongoing behavior. Our experimental results show that the user context can be effectively utilized for Web search personalization. Specifically, re-ranking the search results based on interest scores derived from the semantic evidence in an ontological user profile provides better search results by proficiently bringing results closer to the top when they are most relevant to the user.