Conference paper
Neave effect also occurs with Tausworthe sequences
Shu Tezuka
WSC 1991
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.
Shu Tezuka
WSC 1991
R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
Sankar Basu
Journal of the Franklin Institute
Imran Nasim, Michael E. Henderson
Mathematics