In this paper we analyze the principal preconditions and limitations for designing a competence-based Recommender System. In detail this analysis is contextualized in the ARISTOTELE European project. In the second part of the paper an architectural view is proposed taking in consideration the objective to propose standard and non-standard suggestions. This solution will permit to insert serendipity approaches into classical solutions.
Design principles for competence-based recommender systems / P. Ceravolo, F. Frati, J. Maggesi, G. Waldhart, I. Seeber, V. Bellandi - In: IEEE DEST-CEE 2012 : 6th IEEE International conference on digital ecosystems technologies, complex environment engineering : 18-20 june 2012, Campione d'Italia, Italy : proceedingsPiscataway : Institute of electrical and electronics engineers, 2012. - ISBN 9781467317016. - pp. 1-6 (( Intervento presentato al 6. convegno IEEE International Conference on Digital Ecosystems Technologies (DEST) tenutosi a Campione d'Italia nel 2012 [10.1109/DEST.2012.6227902].
Design principles for competence-based recommender systems
P. CeravoloPrimo
;F. FratiSecondo
;J. Maggesi;V. BellandiUltimo
2012
Abstract
In this paper we analyze the principal preconditions and limitations for designing a competence-based Recommender System. In detail this analysis is contextualized in the ARISTOTELE European project. In the second part of the paper an architectural view is proposed taking in consideration the objective to propose standard and non-standard suggestions. This solution will permit to insert serendipity approaches into classical solutions.
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