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Authors: Dušan Zeleník and Mária Bieliková

Affiliation: Faculty of Informatics and Information Technologies and Slovak University of Technology, Slovak Republic

ISBN: 978-989-8425-51-5

Keyword(s): Recommendation, Personalization, Behaviour, Monitoring, Similarity, News web portal, News, Readers.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Ontologies and the Semantic Web ; Personalized Web Sites and Services ; User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Personalization

Abstract: In this paper we describe a method for recommending news on a news portal based on our novel representation by a similarity tree. Our method for recommending articles is based on their content. The recommendation employs a hierarchical incremental clustering which is used to discover additional information for effective recommending. The important and novel part of our method is an approach to discovering the interests of individual readers using tree structure created according to similarity of articles. We concentrate on enabling the recommendations in any time, i.e. we discover user’s interests real-time. Our method discovers specific interests of the reader using information gained from monitoring his activities in the news portal. We describe the mechanisms for recommending up-to-date and relevant articles. It is based on known solutions, but incorporates unique representation of user interests by binary tree. Moreover, our aim was to provide recommendations in real-time. Recomme ndations are thus generated depending on the actual reader’s interest. We also present an evaluation of recommendations in the experiment where we use accounts of real readers and their history of reading. (More)

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Paper citation in several formats:
Zeleník, D. and Bieliková, M. (2011). NEWS RECOMMENDING BASED ON TEXT SIMILARITY AND USER BEHAVIOUR .In Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8425-51-5, pages 302-307. DOI: 10.5220/0003339403020307

@conference{webist11,
author={Dušan Zeleník. and Mária Bieliková.},
title={NEWS RECOMMENDING BASED ON TEXT SIMILARITY AND USER BEHAVIOUR },
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2011},
pages={302-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003339403020307},
isbn={978-989-8425-51-5},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - NEWS RECOMMENDING BASED ON TEXT SIMILARITY AND USER BEHAVIOUR
SN - 978-989-8425-51-5
AU - Zeleník, D.
AU - Bieliková, M.
PY - 2011
SP - 302
EP - 307
DO - 10.5220/0003339403020307

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