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Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
pp: 502-505
ABSTRACT
We describe Reperio, a flexible and generic industrial recommender system able to deal with several kinds of data sources (content-based, collaborative, social network...) into the same framework and to work on multi platforms (web service in a multi-users mode and mobile device in a mono-user mode). We present the architecture of the system and the main issues involved in its development.
INDEX TERMS
collaborative filtering, content-based filtering, recommender system design, embedded recommender system
CITATION
Franck Meyer, Françoise Fessant, "Reperio: A Generic and Flexible Industrial Recommender System", WI-IAT, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 502-505, doi:10.1109/WI-IAT.2011.78
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