A Generic Approach Towards Adapting User Preferences in Business Process Execution

Business Process Management (BPM) plays a vital role in modern businesses, assisting them in organizing their operational procedures. There are multiple methods to improve these processes. Process optimization often overlooks human resources as crucial parts of business processes. By focusing on individual user preferences process executions can be improved. Approaches pursuing this idea are subsumed under the term human-centric BPM. One way to achieve this kind of optimization is to integrate recommender systems into BPM. Integrated recommender systems consider user preferences during process execution and therefore enhance user experience and thus overall process efficiency. Our proposed framework offers an adaptable solution for integrating arbitrary recommendation strategies. The practicability of the framework is demonstrated through a real-world example.