We study the problem of modeling purchase of multiple items and utilizing it to display optimized recommendations, which is a central problem for online e-commerce platforms. Rich personalized modeling of users and fast computation of optimal products to display given these models can lead to...

Goal programming (GP) is a multi-objective extension of linear programming. Interval GP (IGP) is one of the earliest methods to expand the range of preferred structures in GP. The decision maker's (DM's) utility or preference in IGP is investigated by incorporating a widening range of underlying...

Purpose – The purpose of this chapter is to introduce new methods to behavioral research on group negotiation. Design/methodology/approach – We describe three techniques from the field of Machine Learning and discuss their possible application to modeling dynamic processes in group...

The aim of this dissertation is the behavioral portfolio selection problem in which risk is measured as the probability of shortfall. Using behavioral elements, such as mental accounting, and emotions and cognition, this dissertation investigates empirical issues related to behavioral asset...