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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Reperio: A Generic and Flexible Industrial Recommender System
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
| ASCII Text | x | ||
| Franck Meyer, Françoise Fessant, "Reperio: A Generic and Flexible Industrial Recommender System," Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, vol. 1, pp. 502-505, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/WI-IAT.2011.78, author = {Franck Meyer and Françoise Fessant}, title = {Reperio: A Generic and Flexible Industrial Recommender System}, journal ={Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on}, volume = {1}, year = {2011}, isbn = {978-0-7695-4513-4}, pages = {502-505}, doi = {http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2011.78}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on TI - Reperio: A Generic and Flexible Industrial Recommender System SN - 978-0-7695-4513-4 SP502 EP505 A1 - Franck Meyer, A1 - Françoise Fessant, PY - 2011 KW - collaborative filtering KW - content-based filtering KW - recommender system design KW - embedded recommender system VL - 1 JA - Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on ER - | |||
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, vol. 1, pp.502-505, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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