Development of an instrument measuring user satisfaction of the human-computer interface
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An evaluation of phrasal and clustered representations on a text categorization task
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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
Learning in the presence of concept drift and hidden contexts
Machine Learning
Personalized, interactive news on the Web
Multimedia Systems
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Evaluating adaptive user profiles for news classification
Proceedings of the 9th international conference on Intelligent user interfaces
Systematic data selection to mine concept-drifting data streams
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A new approach for combining content-based and collaborative filters
Journal of Intelligent Information Systems
Temporal Data Mining in Dynamic Feature Spaces
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Incremental Support Vector Learning: Analysis, Implementation and Applications
The Journal of Machine Learning Research
Learning drifting concepts: Example selection vs. example weighting
Intelligent Data Analysis
Boosting classifiers for drifting concepts
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
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
A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Personalized news recommendation based on click behavior
Proceedings of the 15th international conference on Intelligent user interfaces
Personalised news and scientific literature aggregation
Information Processing and Management: an International Journal
Implicit news recommendation based on user interest models and multimodal content analysis
Proceedings of the 3rd international workshop on Automated information extraction in media production
Effective monitoring by efficient fingerprint matching using a forest of NAQ-trees
Journal of Intelligent Information Systems
Exploring classification concept drift on a large news text corpus
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Improving tweet stream classification by detecting changes in word probability
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
International Journal of Data Warehousing and Mining
Multimedia Tools and Applications
Personalised Information Retrieval: survey and classification
User Modeling and User-Adapted Interaction
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With the explosive growth of the Word Wide Web, information overload became a crucial concern. In a data-rich information-poor environment like the Web, the discrimination of useful or desirable information out of tons of mostly worthless data became a tedious task. The role of Machine Learning in tackling this problem is thoroughly discussed in the literature, but few systems are available for public use. In this work, we bridge theory to practice, by implementing a web-based news reader enhanced with a specifically designed machine learning framework for dynamic content personalization. This way, we get the chance to examine applicability and implementation issues and discuss the effectiveness of machine learning methods for the classification of real-world text streams. The main features of our system named PersoNews are: (a) the aggregation of many different news sources that offer an RSS version of their content, (b) incremental filtering, offering dynamic personalization of the content not only per user but also per each feed a user is subscribed to, and (c) the ability for every user to watch a more abstracted topic of interest by filtering through a taxonomy of topics. PersoNews is freely available for public use on the WWW ( http://news.csd.auth.gr ).