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Authors: Youssef Meguebli 1 ; Mouna Kacimi 2 ; Bich-liên Doan 1 and Fabrice Popineau 1

Affiliations: 1 SUPELEC Systems Sciences (E3S), France ; 2 Free University of Bozen-Bolzano, Italy

ISBN: 978-989-758-048-2

Keyword(s): News recommendation, Opinion mining, Diversification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: With the tremendous growth of published news articles, a key issue is how to help users find diverse and interesting news stories. To this end, it is crucial to understand and build accurate profiles for both users and news articles. In this paper, we define a user profile based on (1) the set of entities she/he talked about it in her/his comments and (2) the set of key-concepts related to those entities on which the user has expressed a viewpoint. The same information is extracted from the content of each news article to create its profile. These profiles are then matched for the purpose of recommendation using a new similarity measure. We use also the news articles profiles to diversify the list of recommended stories. A first evaluation involving the activities of 150 real users in four news web sites, namely The Independent, The Telegraph, CNN and Aljazeera has shown the effectiveness of our approach compared to recent works.

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Paper citation in several formats:
Meguebli Y., Kacimi M., Doan B. and Popineau F. (2014). Stories Around You - A Two-Stage Personalized News Recommendation.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 473-479. DOI: 10.5220/0005159804730479

@conference{kdir14,
author={Youssef Meguebli and Mouna Kacimi and Bich{-}liên Doan and Fabrice Popineau},
title={Stories Around You - A Two-Stage Personalized News Recommendation},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={473-479},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005159804730479},
isbn={978-989-758-048-2},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - Stories Around You - A Two-Stage Personalized News Recommendation
SN - 978-989-758-048-2
AU - Meguebli Y.
AU - Kacimi M.
AU - Doan B.
AU - Popineau F.
PY - 2014
SP - 473
EP - 479
DO - 10.5220/0005159804730479

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