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Authors: Francisco J. Ribadas 1 ; Luis M. de Campos 2 ; Juan M. Fernández-Luna 2 and Juan F. Huete 2

Affiliations: 1 Universidade de Vigo, Spain ; 2 Universidad de Granada, Spain

Keyword(s): Information Filtering, Parliamentary Documents, Text Classification, User Profiles.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Collaborative Filtering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: Content-based recommender/filtering systems help to appropriately distribute information among the individuals or organizations that could consider it of interest. In this paper we describe a filtering system to deal with the problem of assigning documents to members of the parliament potentially interested on them. The proposed approach exploits subjects taken from a conceptual thesaurus to create the user profiles and to describe the documents to be filtered. The assignment of subjects to documents is modeled as a multilabel classification problem. Experiments with a real parliamentary corpus are reported, evaluating several methods to assign conceptual subjects to documents and to match those sets of subjects with user profiles.

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Paper citation in several formats:
Ribadas, F.; de Campos, L.; Fernández-Luna, J. and Huete, J. (2015). Concept Profiles for Filtering Parliamentary Documents. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, (IC3K 2015) ISBN 978-989-758-158-8; ISSN 2184-3228, pages 409-416. DOI: 10.5220/0005616104090416

@conference{kdir15,
author={Francisco J. Ribadas. and Luis M. {de Campos}. and Juan M. Fernández{-}Luna. and Juan F. Huete.},
title={Concept Profiles for Filtering Parliamentary Documents},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, (IC3K 2015)},
year={2015},
pages={409-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005616104090416},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR, (IC3K 2015)
TI - Concept Profiles for Filtering Parliamentary Documents
SN - 978-989-758-158-8
IS - 2184-3228
AU - Ribadas, F.
AU - de Campos, L.
AU - Fernández-Luna, J.
AU - Huete, J.
PY - 2015
SP - 409
EP - 416
DO - 10.5220/0005616104090416