PersoNews: a personalized news reader enhanced by machine learning and semantic filtering

Authors:
E. Banos;I. Katakis;N. Bassiliades;G. Tsoumakas;I. Vlahavas
Affiliations:
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Venue:
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
Year:
2006

Citing 5
Cited 5

Personalized, interactive news on the Web

Multimedia Systems
A hybrid user model for news story classification

UM '99 Proceedings of the seventh international conference on User modeling
Machine learning in automated text categorization

ACM Computing Surveys (CSUR)
Evaluating adaptive user profiles for news classification

Proceedings of the 9th international conference on Intelligent user interfaces
On the utility of incremental feature selection for the classification of textual data streams

PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics

A multi-agent legal recommender system

Artificial Intelligence and Law
An adaptive personalized news dissemination system

Journal of Intelligent Information Systems
Noun retrieval effect on text summarization and delivery of personalized news articles to the user's desktop

Data & Knowledge Engineering
Supporting rapid processing and interactive map-based exploration of streaming news

Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies

International Journal of Data Warehousing and Mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a web-based, machine-learning enhanced news reader (PersoNews) The main advantages of PersoNews are the aggregation of many different news sources, machine learning filtering offering personalization not only per user but also for every feed a user is subscribed to, and finally the ability for every user to watch a more abstracted topic of interest by employing a simple form of semantic filtering through a taxonomy of topics.