\Abstract

Group-based configuration is a rather new configuration approach. It presents a scenario where a group of people is configuring a product, service or solution. However, good group decisions are difficult to arrive at. Therefore, to facilitate group decision, group recommender systems exist. Yet, they have not been applied to group-based configuration. This thesis proposes a concept for an item based recommender system that helps a group to find a consensus for a configuration decision. The concept is evaluated with synthetically generated groups of four people and shows good results for heterogeneous groups.