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A recommender system based on group consensus

Author
Rosello, L.; Prats, F.; Sanchez, M.; Agell, N.
Type of activity
Presentation of work at congresses
Name of edition
24th International Workshop on Qualitative Reasoning
Date of publication
2010
Presentation's date
2010-08
Book of congress proceedings
Proceedings of the 24th International Workshop on Qualitative Reasoning
First page
66
Last page
71
Repository
http://hdl.handle.net/2117/10004 Open in new window
URL
http://www.qrg.northwestern.edu/qr2010/qr10proceedings/QR2010_rosello.pdf Open in new window
Abstract
This paper presents the foundation for a new methodology for a collaborative recommender system (RS). This methodology is based on the degree of consensus of a group of users stating their preferences via qualitative orders-of-magnitude. The structure of distributive lattice is considered in defining the distance between users and the RSs new users. This proposed methodology incorporates incomplete or partial knowledge into the recommendation process using qualitative reasoning techniques to obt...
Citation
Rosello, L. [et al.]. A recommender system based on group consensus. A: International Workshop on Qualitative Reasoning. "24th International Workshop on Qualitative Reasoning". Portland, Oregon: 2010, p. 66-71.
Group of research
GREC - Knowledge Engineering Research Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

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