MODEL-BASED COLLABORATIVE FILTERING FOR TEAM BUILDING SUPPORT

Miguel Veloso, Alípio Jorge, Paulo J. Azevedo

2004

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.

Paper Citation

in Harvard Style

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, pages 241-248. DOI: 10.5220/0002636502410248

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Veloso M.
AU - Jorge A.
AU - J. Azevedo P.
PY - 2004
SP - 241
EP - 248
DO - 10.5220/0002636502410248