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Authors: Miguel Veloso 1 ; Alípio Jorge 2 and Paulo J. Azevedo 3

Affiliations: 1 Enabler – Solutions for Retailing, Portugal ; 2 Faculdade de Economia, Universidade do Porto, Portugal ; 3 Universidade do Minho, Portugal

Keyword(s): Data Mining, Collaborative Filtering, Recommender Systems, Association Rules, Team Building

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Verification and Validation of Knowledge-Based Systems

Abstract: In this paper we describe an application of recommender systems to team building in a company or organization. The recommender system uses a collaborative filtering model based approach. Recommender models are sets of association rules extracted from the activity log of employees assigned to projects or tasks. Recommendation is performed at two levels: first by recommending a single team element given a partially built team; and second by recommending changes to a completed team. The methodology is applied to a case study with real data. The results are evaluated through experimental tests and one survey to potential users.

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Paper citation in several formats:
Veloso, M.; Jorge, A. and J. Azevedo, P. (2004). MODEL-BASED COLLABORATIVE FILTERING FOR TEAM BUILDING SUPPORT. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 241-248. DOI: 10.5220/0002636502410248

@conference{iceis04,
author={Miguel Veloso. and Alípio Jorge. and Paulo {J. Azevedo}.},
title={MODEL-BASED COLLABORATIVE FILTERING FOR TEAM BUILDING SUPPORT},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2004},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002636502410248},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - MODEL-BASED COLLABORATIVE FILTERING FOR TEAM BUILDING SUPPORT
SN - 972-8865-00-7
IS - 2184-4992
AU - Veloso, M.
AU - Jorge, A.
AU - J. Azevedo, P.
PY - 2004
SP - 241
EP - 248
DO - 10.5220/0002636502410248
PB - SciTePress

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