Abstract Although most workflow management systems nowadays offer graphical editors for process modeling, the learning curve is still too steep for users who are unexperienced in process modeling. The efficiency of users may decrease when starting process modeling with minimal expertise and no obvious modeling support. This paper describes the first contribution towards a theoretically sound and empirically validated analysis of a recommender-based modeling support who is geared towards both novices and expert users. The idea is to interpret process descriptions as tags which describe the intention of the process. This leads us to the notion of virtual documents or signatures. Based on these signatures we provide a search interface to process models stored in a repository. Additionally the user can invoke a recommendation function during modeling time and the system automatically identifies and suggests relevant process fragments. By adding two additional criteria, the frequency of pro...