The Decision­Theoretic Video Advisor

Hien Nguyen and Peter Haddawy Decision Systems and Artificial Intelligence Lab (DSAIL) Dept. of Electrical Engineering and Computer Science University of Wisconsin­Milwaukee Milwaukee, WI 53201

Abstract

We describe ongoing work toward development of a decision­theoretic agent to help users choose videos based on their preferences. The DIVA (Decision­ Theoretic Interactive Video Advisor) system elicits user preferences using a case­based technique. Hard constraints are used to permit the user to communi­ cate temporary deviations from his basic preferences. If the user is not happy with the system's recommen­ dations, he can provide feedback, which is used to modify the represented preferences and generate a new set of recommendations. We describe the fundamen­ tal algorithms, the implementation, and some results from some initial experimentation.