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Authors: Jose Luis Leiva ; Manuel Enciso ; Carlos Rossi ; Pablo Cordero ; Ángel Mora and Antonio Guevara

Affiliation: University of Málaga, Spain

Keyword(s): Context, Recommender System, Fuzzy Logic, Formal Concept Analysis.

Related Ontology Subjects/Areas/Topics: Context ; Context Formalization ; Context Representation ; Context-Aware Systems ; Paradigm Trends ; Software Engineering

Abstract: Most of the recommender systems are content-based: they provide the user a subset of items close to his interest by using the item features. In real recommender systems, the main problem is the big amount of items to be treated. In this work we propose to incorporate context information in a uniform way. We use fuzzy logic and formal concept analysis as a framework to combine context information and content-based recommender systems. Concretely, we specify the content by using fuzzy relations, the context by using fuzzy implications and Simplification Logic to develop an intelligent and linear pre-filtering process. We illustrate this method with an application to the tourism sector.

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Paper citation in several formats:
Luis Leiva, J.; Enciso, M.; Rossi, C.; Cordero, P.; Mora, Á. and Guevara, A. (2013). Context-aware Recommendation using Fuzzy Formal Concept Analysis. In Proceedings of the 8th International Joint Conference on Software Technologies (ICSOFT 2013) - ICSOFT-PT; ISBN 978-989-8565-68-6; ISSN 2184-2833, SciTePress, pages 617-623. DOI: 10.5220/0004594406170623

@conference{icsoft-pt13,
author={Jose {Luis Leiva}. and Manuel Enciso. and Carlos Rossi. and Pablo Cordero. and Ángel Mora. and Antonio Guevara.},
title={Context-aware Recommendation using Fuzzy Formal Concept Analysis},
booktitle={Proceedings of the 8th International Joint Conference on Software Technologies (ICSOFT 2013) - ICSOFT-PT},
year={2013},
pages={617-623},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004594406170623},
isbn={978-989-8565-68-6},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Software Technologies (ICSOFT 2013) - ICSOFT-PT
TI - Context-aware Recommendation using Fuzzy Formal Concept Analysis
SN - 978-989-8565-68-6
IS - 2184-2833
AU - Luis Leiva, J.
AU - Enciso, M.
AU - Rossi, C.
AU - Cordero, P.
AU - Mora, Á.
AU - Guevara, A.
PY - 2013
SP - 617
EP - 623
DO - 10.5220/0004594406170623
PB - SciTePress

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