A study of the relationship between user profiles and user queries
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Scalable association-based text classification
Proceedings of the ninth international conference on Information and knowledge management
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Using text processing techniques to automatically enrich a domain ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Using web structure for classifying and describing web pages
Proceedings of the 11th international conference on World Wide Web
Data Mining for Web Intelligence
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Ontology Learning and Its Application to Automated Terminology Translation
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Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Information Fusion for Intelligent Agent-Based Information Gathering
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Ontology-Based Web Mining Model: Representations of User Profiles
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Interpretations of Association Rules by Granular Computing
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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Personalized Web Search For Improving Retrieval Effectiveness
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Ontological user profiling in recommender systems
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Web information gathering surfers from the problems of information mismatching and overloading. In an attempt to solve these fundamental problems, many works have proposed to use concept-based techniques to perform personalized information gathering for Web users. These works have significantly improved the performance of Web information gathering systems. In this paper, a survey is conducted on these works. The reviewed scholar report that the concept-based, personalized techniques can gather more useful and meaningful information for Web users. The survey also suggests that improvement is needed for the representation and acquisition of user profiles in personalized Web information gathering.