Tong Zhang, G.H. Golub, et al.
Linear Algebra and Its Applications
A recommendation system tracks past actions of a group of users to make recommendations to individual members of the group. The growth of computer-mediated marketing and commerce has led to increased interest in such systems. We introduce a simple analytical framework for recommendation systems, including a basis for defining the utility of such a system. We perform probabilistic analyses of algorithms within this framework. These analyses yield insights into how much utility can be derived from knowledge of past user actions.
Tong Zhang, G.H. Golub, et al.
Linear Algebra and Its Applications
Heng Cao, Haifeng Xi, et al.
WSC 2003
Andrew Skumanich
SPIE Optics Quebec 1993
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence