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Content-based book recommending using learning for text categorization
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Cognitive approach for building user model in an information retrieval context (poster session)
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Personal ontologies for web navigation
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Intelligent agents for retrieving chinese Web financial news
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An intelligent biological information management system
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Predicting web actions from HTML content
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User Modeling and User-Adapted Interaction
Exploring Versus Exploiting when Learning User Models for Text Recommendation
User Modeling and User-Adapted Interaction
Adaptive Techniques for Universal Access
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
MySpiders: Evolve Your Own Intelligent Web Crawlers
Autonomous Agents and Multi-Agent Systems
The InfoFinder Agent: Learning User Interests through Heuristic Phrase Extraction
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Multidimensional Recommender Systems: A Data Warehousing Approach
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DS '01 Proceedings of the 4th International Conference on Discovery Science
Constructing Web User Profiles: A non-invasive Learning Approach
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
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Ontology Based Personalized Search
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The Journal of Machine Learning Research
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IEEE Transactions on Knowledge and Data Engineering
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CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Intelligent metasearch engine for knowledge management
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Towards Data-Adaptive and User-Adaptive Image Retrieval by Peer Indexing
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Evaluating adaptive user profiles for news classification
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Multimedia Tools and Applications
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
Preface to Special Issue on User Modeling for Web Information Retrieval
User Modeling and User-Adapted Interaction
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ICML '04 Proceedings of the twenty-first international conference on Machine learning
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Web Intelligence and Agent Systems
Recommender Systems Research: A Connection-Centric Survey
Journal of Intelligent Information Systems
QueryTracker: An Agent for Tracking Persistent Information Needs
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Co-training with a Single Natural Feature Set Applied to Email Classification
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Intelligent infomediary for web financial information
Decision Support Systems
Incremental personalized web page mining utilizing self-organizing HCMAC neural network
Web Intelligence and Agent Systems
Web Intelligence and Agent Systems
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Applied Intelligence
A rough-fuzzy document grading system for customized text information retrieval
Information Processing and Management: an International Journal
A market-based approach to recommender systems
ACM Transactions on Information Systems (TOIS)
Evaluation of an on-line adaptive gesture interface with command prediction
GI '05 Proceedings of Graphics Interface 2005
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Information Systems
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dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Personal assistants: Direct manipulation vs. mixed initiative interfaces
International Journal of Human-Computer Studies
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Neural Processing Letters
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AI Communications
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Data & Knowledge Engineering - Special issue: WIDM 2004
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Neurocomputing
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International Journal of Electronic Commerce
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Expert Systems with Applications: An International Journal
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International Journal of Web Engineering and Technology
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International Journal of Web Engineering and Technology
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International Journal of Web Engineering and Technology
Evaluation of recommender systems: A new approach
Expert Systems with Applications: An International Journal
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Knowledge and Information Systems
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WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
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PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Novel Web Page Analysis Method for Efficient Reasoning of User Preference
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
MLTutor: An Application of Machine Learning Algorithms for an Adaptive Web-based Information System
International Journal of Artificial Intelligence in Education
AnnotatEd: A social navigation and annotation service for web-based educational resources
The New Review of Hypermedia and Multimedia
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Applied Intelligence
Recommending topics for self-descriptions in online user profiles
Proceedings of the 2008 ACM conference on Recommender systems
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ACM Computing Surveys (CSUR)
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International Journal of Human-Computer Studies
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Expert Systems with Applications: An International Journal
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REJA: A Georeferenced Hybrid Recommender System for Restaurants
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Applied Soft Computing
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ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
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Journal of Network and Computer Applications
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FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
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We describe Syskill & Webert, a software agent that learns to rate pages on the World Wide Web (WWW), deciding what pages might interest a user. The user rates explored pages on a three point scale, and Syskill & Webert learns a user profile by analyzing the information on each page. The user profile can be used in two ways. First, it can be used to suggest which links a user would be interested in exploring. Second, it can be used to construct a LYCOS query to find pages that would interest a user. We compare six different algorithms from machine learning and information retrieval on this task. We find that the naive Bayesian classifier offers several advantages over other learning algorithms on this task. Furthermore, we find that an initial portion of a web page is sufficient for making predictions on its interestingness substantially reducing the amount of network transmission required to make predictions.