DocumentCode :
2453605
Title :
Design principles for competence-based Recommender Systems
Author :
Bellandi, Valerio ; Ceravolo, Paolo ; Frati, Fulvio ; Maggesi, Jonatan ; Waldhart, Gabriela ; Seeber, Isabella
Author_Institution :
Dipt. di Inf., Univ. degli Studi di Milano, Milan, Italy
fYear :
2012
fDate :
18-20 June 2012
Firstpage :
1
Lastpage :
6
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.
Keywords :
recommender systems; software architecture; ARISTOTELE European project; architectural view; competence-based recommender system; design principle; system design; Collaboration; Communities; Context; Knowledge based systems; Organizations; Recommender systems; Social network services; Competence Management; Recommender System; Suggestions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems Technologies (DEST), 2012 6th IEEE International Conference on
Conference_Location :
Campione d´Italia
ISSN :
2150-4938
Print_ISBN :
978-1-4673-1702-3
Electronic_ISBN :
2150-4938
Type :
conf
DOI :
10.1109/DEST.2012.6227902
Filename :
6227902
Link To Document :
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