IMPLEMENTATION ISSUES OF THE INFONORMA MULTI-AGENT RECOMMENDER SYSTEM

Lucas Drumond, Rosario Girardi, D’Jefferson Maranhão, Geraldo Abrantes

Abstract

Recommender systems can help professionals of the legal area to deal with the growth and dynamism of legal information sources. Infonorma is a multi-agent recommender system that recommends legal normative instruments to users according to their particular interests using both content-based and collaborative information filtering techniques. It has been modeled under the guidelines of the MAAEM methodology. This paper discusses the main implementation issues of the Infonorma system.

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Paper Citation


in Harvard Style

Drumond L., Girardi R., Maranhão D. and Abrantes G. (2009). IMPLEMENTATION ISSUES OF THE INFONORMA MULTI-AGENT RECOMMENDER SYSTEM . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8111-87-6, pages 128-133. DOI: 10.5220/0002008701280133


in Bibtex Style

@conference{iceis09,
author={Lucas Drumond and Rosario Girardi and D’Jefferson Maranhão and Geraldo Abrantes},
title={IMPLEMENTATION ISSUES OF THE INFONORMA MULTI-AGENT RECOMMENDER SYSTEM},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2009},
pages={128-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002008701280133},
isbn={978-989-8111-87-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - IMPLEMENTATION ISSUES OF THE INFONORMA MULTI-AGENT RECOMMENDER SYSTEM
SN - 978-989-8111-87-6
AU - Drumond L.
AU - Girardi R.
AU - Maranhão D.
AU - Abrantes G.
PY - 2009
SP - 128
EP - 133
DO - 10.5220/0002008701280133