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

E. Banos, I. Katakis, N. Bassiliades, G. Tsoumakas, I. Vlahavas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems 2006
Subtitle of host publicationCoopIS, DOA, GADA, and ODBASE - OTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006, Proceedings
PublisherSpringer Verlag
Pages975-982
Number of pages8
ISBN (Print)3540482873, 9783540482871
Publication statusPublished - 1 Jan 2006
EventOTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006 - Montpellier, France
Duration: 29 Oct 20063 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4275 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceOTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006
Country/TerritoryFrance
CityMontpellier
Period29/10/063/11/06

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