Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
SiteHelper: a localized agent that helps incremental exploration of the World Wide Web
Selected papers from the sixth international conference on World Wide Web
Collecting user access patterns for building user profiles and collaborative filtering
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Learning users' interests by unobtrusively observing their normal behavior
Proceedings of the 5th international conference on Intelligent user interfaces
Web montage: a dynamic personalized start page
Proceedings of the 11th international conference on World Wide Web
METIOREW: An Objective Oriented Content Based and Collaborative Recommending System
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Learning Performance Assessment Approach Using Learning Portfolio for E-Learning Systems
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Tracking multiple topics for finding interesting articles
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A General-Purpose Mobile Framework for Situated Learning Services on PDA
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Complex adaptive filtering user profile using graphical models
Information Processing and Management: an International Journal
Towards user psychological profile
Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems
An adaptive personalized news dissemination system
Journal of Intelligent Information Systems
Personalized news recommendation based on click behavior
Proceedings of the 15th international conference on Intelligent user interfaces
Analysis of internet users' interests based on windows GUI messages
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
Fast categorization of web documents represented by graphs
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
Measuring the interestingness of articles in a limited user environment
Information Processing and Management: an International Journal
A PDA-based mobile profiling system for customized learning
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
A method for user profile adaptation in document retrieval
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
DC proposal: model for news filtering with named entities
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
PersoNews: a personalized news reader enhanced by machine learning and semantic filtering
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
A profiling system and mobile middleware framework for u-learning
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Multi-lingual detection of terrorist content on the web
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
Optimizing the user environment: leading towards an accessible and usable experience
Accessible Design'05 Proceedings of the 2005 international conference on Accessible Design in the Digital World
Personalized news recommendation: a review and an experimental investigation
Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
A reference profile ontology for communities of practice
International Journal of Metadata, Semantics and Ontologies
Semantics-based news recommendation with SF-IDF+
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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Never before have so many information sources been available. Most are accessible on-line and some exist on the Internet alone. However, this large information quantity makes interesting articles hard to find. Modern Personal Digital Assistants (PDAs), mobile phones, and the advent of ubiquitous computing will further complicate matters. Away from the desktop, the time to select important articles might be even harder to find. Strategies to select relevant information are sorely needed.One such strategy is content-based filtering, coupled with User Profiles. Our prototype uses a Bayesian classifier to select articles of interest to a specific user, according to his profile. The articles are extracted from web pages and displayed in a zoomable interface-based browser on a PDA. Interests may change over time, making it important to keep the profile up to date. The system monitors the users' reading behaviors, from which it infers their interest in particular articles and updates the profile accordingly. Results show that, from the start, most articles are correctly classified. An initial profile opposite to the user's actual interests can be reversed in less than ten days, showing the robustness of our approach. A user's interest in an article is inferred with a high degree of accuracy (over 90%).