A system for automatic personalized tracking of scientific literature on the Web
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Data Mining for Web Intelligence
Computer
Improving pseudo-relevance feedback in web information retrieval using web page segmentation
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
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
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Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
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The Journal of Machine Learning Research
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
A multi-system analysis of document and term selection for blind feedback
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
Regularized estimation of mixture models for robust pseudo-relevance feedback
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Category ranking for personalized search
Data & Knowledge Engineering
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Estimation and use of uncertainty in pseudo-relevance feedback
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Web search personalization with ontological user profiles
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Ontology Mining for PersonalizedWeb Information Gathering
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Mining world knowledge for analysis of search engine content
Web Intelligence and Agent Systems
A cluster-based resampling method for pseudo-relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Selecting good expansion terms for pseudo-relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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User profiles are important in personalized Web information gathering and recommendation systems. The current user profiles acquiring techniques however suffer from some problems and thus demand to improve. In this paper, a survey of the existing user profiles acquiring mechanisms is presented first, and a novel approach is introduced that uses pseudo-relevance feedback to acquire user profiles from the Web. The related evaluation result is promising, where the proposed approach is compared with a manual user profiles acquiring technique.