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Autoria: • Lucas Drumond
• Rosario Girardi
• Djefferson Maranhão
• Geraldo Abrantes Sarmento Neto
Título: Implementation Issues of the Infonorma Multi-Agent Recommender System
Complemento: Proceedings of the Proceedings of the 11th International Conference on Enterprise Information Systems
Resumo: 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.
Palavras-chave: Recommender Systems; Content Based Filtering; Collaborative Filtering
Editora: INSTIIC
Catalogação: ISBN 978-989-8111-84-5
Páginas: 128-133
Local: Milan, Italy
Data: 06 a 10 de maio de 2009
Meio: Anais de eventos
Vínculo: www.iceis.org
Arquivo: IMPLEMENTATION ISSUES OF THE INFONORMA MULTI-AGENT RECOMMENDER SYSTEM.zip


Atualizado em 03/11/2016
UNIVERSIDADE FEDERAL DO MARANHÃO
CENTRO DE CIÊNCIAS EXATAS E TECNOLOGIA
DEPARTAMENTO DE INFORMÁTICA