The increasing complexity of products and services being offered by businesses has made providing customers with easy access to technical assistance an important business function. Therefore, most businesses operate call centers to respond to product related queries from consumers. An emerging model is to let a third-party to run the contact center for a business. Preference elicitation the pro...

In this paper, we describe area of recommender systems, with focus on user preference learning problem. We describe such system and identify some interesting problems. We will compare how well different approaches cope with some of the problems. This paper may serve as an introduction to the area of user preference learning with a hint on some interesting problems that have not been solved yet.

In this work we present a construction method for interval-valued fuzzy preference relations from a fuzzy preference relation and the representation of the lack of knowledge or ignorance that experts suffer when they define the membership values of the elements of that fuzzy preference relation. We also prove that, with this construction method, we obtain membership intervals for an element whi...

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We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous work on Bayesian inverse reinforcement learning and allows us to obtain a posterior distribution on the agent’s preferences, policy and optionally, the obtained reward sequence, from observations. We examine the relati...

We test whether induced mood states have an effect on elicited risk and time preferences in a conventional laboratory experiment. We jointly estimate risk and time preferences and find that subjects induced into a negative mood exhibit economically significant higher risk aversion than those in the control treatment. Those in the positive mood treatment exhibit even higher risk aversion. We fin...

In this paper, we define the concept of incomplete hesitant fuzzy preference relations to deal with the cases where the decision makers express their judgments by using hesitant fuzzy preference relations with incomplete information, and investigate the consistency of the incomplete hesitant fuzzypreference relations and obtain the reliable priority weights. We first establish a goal programmin...

Pharmacotherapy and psychotherapy are generally effective treatments for major depressive disorder (MDD); however, research suggests that patient preferences may influence outcomes. We examined the effects of treatment preference on attrition, therapeutic alliance, and change in depressive severity in a longitudinal randomized clinical trial comparing pharmacotherapy and psychotherapy. Prior to...

Background Undertaking randomised controlled trials can be challenging. Many trials fail to recruit, there may be issues around consent, patient preferences and treatment comparisons. The patient preference and Zelen designs have attempted to address the issues around recruitment and patient preference. However the cohort multiple randomised controlled trial has been suggested as an alternative...

We describe a web-based system to support groups in elaborating participatory budgets. Rather than using physical meetings with voting mechanisms, we promote virtual meetings with explicit preference elicitation, guided negotiations and, only if consensus is not reached, vot-