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WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 1 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
SIGECOM
1999
ACM
117views ECommerce» more  SIGECOM 1999»
14 years 4 days ago
Recommender systems in e-commerce
Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce...
J. Ben Schafer, Joseph A. Konstan, John Riedl
RECSYS
2010
ACM
13 years 8 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
SIGECOM
2006
ACM
96views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Optimal pricing with recommender systems
Abstract We study optimal pricing in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertaint...
Dirk Bergemann, Deran Ozmen
CIKM
2010
Springer
13 years 6 months ago
Recommendation based on object typicality
Current recommendation methods are mainly classified into contentbased, collaborative filtering and hybrid methods. These methods are based on similarity measurements among item...
Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi L...