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Authors: Roberto Saia ; Ludovico Boratto and Salvatore Carta

Affiliation: Università di Cagliari, Italy

ISBN: 978-989-758-048-2

Keyword(s): Recommender Systems, User Profiling.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Concept Mining ; Data Reduction and Quality Assessment ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: Recommender systems usually produce their results to the users based on the interpretation of the whole historic interactions of these. This canonical approach sometimes could lead to wrong results due to several factors, such as a changes in user taste over time or the use of her/his account by third parties. This work proposes a novel dynamic coherence-based approach that analyzes the information stored in the user profiles based on their coherence. The main aim is to identify and remove from the previously evaluated items those not adherent to the average preferences, in order to make a user profile as close as possible to the user’s real tastes. The conducted experiments show the effectiveness of our approach to remove the incoherent items from a user profile, increasing the recommendation accuracy.

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Paper citation in several formats:
Saia R., Boratto L. and Carta S. (2014). Semantic Coherence-based User Profile Modeling in the Recommender Systems Context.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 154-161. DOI: 10.5220/0005041401540161

@conference{kdir14,
author={Roberto Saia and Ludovico Boratto and Salvatore Carta},
title={Semantic Coherence-based User Profile Modeling in the Recommender Systems Context},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={154-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005041401540161},
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 - Semantic Coherence-based User Profile Modeling in the Recommender Systems Context
SN - 978-989-758-048-2
AU - Saia R.
AU - Boratto L.
AU - Carta S.
PY - 2014
SP - 154
EP - 161
DO - 10.5220/0005041401540161

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