Tulane Engineering Forum

Ronald R. Yager

Ronald R. Yager received his undergraduate degree from the City College of New York and his Ph. D. from the Polytechnic University of New York. He has served at the National Science Foundation as program director in the Information Sciences program. He was a NASA/Stanford visiting fellow as well as a research associate at the University of California, Berkeley. He has served as a lecturer at NATO Advanced Study Institutes. Currently, he is Director of the Machine Intelligence Institute and Professor of Information and Decision Technologies at Iona College. He is a fellow of the IEEE, the Fuzzy Systems Association and the New York Academy of Sciences. He is editor and chief of the International J ournal of Intelligent Systems. He serves on the editorial board of a number of journals including Neural Networks, Data Mining and Knowledge Discovery, the Journal of Approximate Reasoning, IEEE Intelligent Systems, Fuzzy Sets and Systems and the IEEE Transactions on Fuzzy Systems. He is one of the co-founders of the conference on Information Processing and the Management of Uncertainty. He has published over 500 articles and fifteen books. In addition to his pioneering work in the area of fuzzy logic, his recent research has focused on problems arising in decision making under uncertainty, the fusion of information and E-Commerce.

Presentation Topic: Recommender Systems in E-Commerce

By Ronald R. Yager

Summary

What has become clear is, just as with TV and radio, advertising has become a primary source of income on the web. However, a fundamental difference between the web and the other media is its ability to store and instantaneously process vast amounts of information about individuals. This ability for targeted marketing has resulted in the emergence of a class of computer based systems that are called recommender systems. In this talk we look at some of these systems.