All the tools and techniques we have detailed so far assume that the user “knows” how to formulate her queries/preferences Although with traditional DB’s and a few attributes this might be a reasonable assumption, when we consider many attributes/features it is not clear how a user might guess the right combination of weights How can one define the 64 weights for a color-based search using the ...

In this paper we extend the influence diagram (ID) representation for decisions under uncertainty. In the standard ID, arrows into a decision node are only infonnational; they do not represent constraints on what the decision maker can do. We can represent such constraints only indirectly, using arr ows to the children of the decision and sometimes adding more variables to the influence diagram...