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» Methods for boosting recommender systems
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SIGMOD
2009
ACM
141views Database» more  SIGMOD 2009»
14 years 5 months ago
FlexRecs: expressing and combining flexible recommendations
Recommendation systems have become very popular but most recommendation methods are `hard-wired' into the system making experimentation with and implementation of new recomme...
Georgia Koutrika, Benjamin Bercovitz, Hector Garci...
EWMF
2003
Springer
13 years 10 months ago
Greedy Recommending Is Not Always Optimal
Abstract. Recommender systems suggest objects to users. One form recommends documents or other objects to users searching information on a web site. A recommender system can be use...
Maarten van Someren, Vera Hollink, Stephan ten Hag...
IDEAL
2004
Springer
13 years 10 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
WECWIS
2005
IEEE
157views ECommerce» more  WECWIS 2005»
13 years 10 months ago
A Recommender for Targeted Advertisement of Unsought Products in E-Commerce
Recommender systems are a powerful tool for promoting sales in electronic commerce. An effective shopping recommender system can help boost the retailer’s sales by reminding cus...
Koung-Lung Lin, Jane Yung-jen Hsu, Han-Shen Huang,...
ICCV
2007
IEEE
14 years 6 months ago
DynamicBoost: Boosting Time Series Generated by Dynamical Systems
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
René Vidal, Paolo Favaro