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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11914853_71.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bharat, K., Kamba, T., Albers, M.: Personalized, interactive news on the web. Multimedia Systems 6(5), 349–358 (1998)
Billsus, D., Pazzani, M.: A Hybrid User Model for News Story Classification. In: Seventh International Conference on User Modeling. Springer, Banff (1999)
Carreira, R., et al.: Evaluating adaptive user profiles for news classification. In: 9th International Conference on Intelligent user Interface, Funchal. ACM Press, Madeira (2004)
Chan, C.-H., Sun, A., Lim, E.-P.: Automated Online News Classification with Personalization. In: 4th International Conference of Asian Digital Library (ICADL 2001), Bangalore, India (2001)
Katakis, I., Tsoumakas, G., Vlahavas, I.: On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams. In: Bozanis, P., Houstis, E.N. (eds.) PCI 2005. LNCS, vol. 3746, pp. 338–348. Springer, Heidelberg (2005)
McCallum, A., Nigam, K.: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI 1998 Workshop on Learning for Text Categorization (1998)
Porter, M.F.: An algorithm for suffix stripping. Program 14(3), 130–137 (1980)
Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys 34(1), 1–47 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Banos, E., Katakis, I., Bassiliades, N., Tsoumakas, G., Vlahavas, I. (2006). PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. OTM 2006. Lecture Notes in Computer Science, vol 4275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11914853_62
Download citation
DOI: https://doi.org/10.1007/11914853_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48287-1
Online ISBN: 978-3-540-48289-5
eBook Packages: Computer ScienceComputer Science (R0)