Abstract
We present a middleware system UPRE enabling personalized web search for users with different preferences. The input for UPRE is user evaluation of some objects in scale from the worst to the best.
Our model is inspired by existing models of distributed middleware search. We use both inductive and deductive tasks to find user preferences and consequently best objects.