David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
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.
David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
David L. Shealy, John A. Hoffnagle
SPIE Optical Engineering + Applications 2007
Renu Tewari, Richard P. King, et al.
IS&T/SPIE Electronic Imaging 1996