Fernando Martinez, Juntao Chen, et al.
AAAI 2025
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.
Fernando Martinez, Juntao Chen, et al.
AAAI 2025
Simeon Furrer, Dirk Dahlhaus
ISIT 2005
Ronald Fagin, Ravi Kumar, et al.
SIAM Journal on Discrete Mathematics
John A. Hoffnagle, William D. Hinsberg, et al.
Microlithography 2003