Modeling socio-technical processes in e-commerce scenarios

Abstract

We consider socio-technical processes, i.e. processes where machines as well as humans participate. Typical examples occur in sales processes in e-commerce. Three modeling tasks are selected: Modeling user preferences and utilities, modeling evaluations and modeling influence factors. A central concept representing knowledge is the notion of similarity. The major technique discussed is machine learning. Two application scenarios and simulation results are presented: Learning utility functions and performing dialogs with customers.