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ECWEB
2010
Springer

Partial Ranking of Products for Recommendation Systems

13 years 9 months ago
Partial Ranking of Products for Recommendation Systems
A recommendation system (or recommender) is an algorithm whose goal is to recommend products to potential users. To achieve its task, it uses information about some user preferences. We present recommenders that use information about the preferences of only a very small subset of users (called a committee) on a very small set of products called the witness products set. The main interest of our approach compared to previous ones is that it needs substantially less data for ensuring a very good quality of recommendation.
Sébastien Hémon, Thomas Largillier,
Added 25 Jan 2011
Updated 25 Jan 2011
Type Journal
Year 2010
Where ECWEB
Authors Sébastien Hémon, Thomas Largillier, Sylvain Peyronnet
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