Model-based collaborative filtering for team building support

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

Veloso, M (Author) Other; Jorge, A (Author) FEP; Azevedo, PJ (Author) Other

Conference proceedings International

Title: ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems

Pages: 241-248

ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems

Porto, 14 April 2004 through 17 April 2004

Indexing

Scopus - 5 Citations

Other information

Authenticus ID: P-008-1N9

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific