SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
C4.5: programs for machine learning
C4.5: programs for machine learning
Relevance feedback and inference networks
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Agents that reduce work and information overload
Communications of the ACM
Collaborative interface agents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Interactive thesaurus navigation: intelligence rules ok?
Journal of the American Society for Information Science
A comparison of classifiers and document representations for the routing problem
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Identifying unknown proper names in newswire text
Corpus processing for lexical acquisition
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Learning from Hotlists and Coldlists: Towards a WWW Information Filtering and Seeking Agent
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
Query processing for retrieval from large text bases
HLT '93 Proceedings of the workshop on Human Language Technology
Data-Driven Constructive Induction
IEEE Intelligent Systems
Learning User Communities for Improving the Services of Information Providers
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
Machine Learning in User Modeling
Machine Learning and Its Applications, Advanced Lectures
CLARISSE: A Machine Learning Tool to Initialize Student Models
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Incremental personalized web page mining utilizing self-organizing HCMAC neural network
Web Intelligence and Agent Systems
Cooperative decision making in a knowledge grid environment
Future Generation Computer Systems
Programming Robosoccer agents by modeling human behavior
Expert Systems with Applications: An International Journal
SEA: Segment-enrich-annotate paradigm for adapting dialog-based content for improved accessibility
ACM Transactions on Information Systems (TOIS)
Java-based and secure learning agents for information retrieval in distributed systems
Information Sciences: an International Journal
User profiles for personalized information access
The adaptive web
Automatic knowledge acquire system oriented to web pages
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case Studies
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is to build a system for generating comprehensible user profiles that accurately capture user interest with minimum user interaction. The research described here focuses on the importance of a suitable generalization hierarchy and representation for learning profiles which are predictively accurate and comprehensible. In our experiments we evaluated both traditional features based on weighted term vectors as well as subject features corresponding to categories which could be drawn from a thesaurus. Our experiments, conducted in the context of a content-based profiling system for on-line newspapers on the World Wide Web (the IDD News Browser), demonstrate the importance of a generalization hierarchy and the promise of combining natural language processing techniques with machine learning (ML) to address an information retrieval (IR) problem.