In many situations, a set of hard constraints encodes the feasible configurations of some
system or product over which multiple users have distinct preferences. However, making …

A critical factor in the success of many decision support systems is the accurate modeling of
user preferences. Psychology research has demonstrated that users often develop their …

Two problems may arise when an intelligent (recommender) system elicits users'
preferences. First, there may be a mismatch between the quantitative preference …

Decision-theoretic optimization is becoming a popular tool in the user interface community,
but creating accurate cost (or utility) functions has become a bottleneck---in most cases the …

The specification of aMarkov decision process (MDP) can be difficult. Reward function
specification is especially problematic; in practice, it is often cognitively complex and time …

Consider an agent that can autonomously negotiate and coordinate with others in our stead,
to reach outcomes and agreements in our interest. Such automated negotiation agents are …

Over the past decade, our group has developed a suite of decision tools based on example
critiquing to help users find their preferred products in e-commerce environments. In this …

This paper introduces an interactive framework to guide decision-makers in a multi-criteria
supplier selection process. State-of-the-art multi-criteria methods for supplier selection elicit …

A crucial element in consumer electronic commerce is a catalog tool that not only finds the
product for the user, but also convinces him that he has made the best choice. To do that, it …

Preference queries incorporate the notion of binary preference relation into relational
database querying. Instead of returning all the answers, such queries return only the best …