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Published in:
2006 | OriginalPaper | Chapter
PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering
Authors : E. Banos, I. Katakis, N. Bassiliades, G. Tsoumakas, I. Vlahavas
Published in: On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE
Publisher: Springer Berlin Heidelberg
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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.