A Systematic Literature Review on Process-Aware Recommender Systems
This review helps researchers in business process analysis and process mining by providing a state-of-the-art overview and guidance for future work, but it is incremental as it synthesizes existing studies.
The paper conducted a systematic review of 33 academic articles from 2008 to 2020 to analyze process-aware recommender systems in business process management and process mining, identifying research gaps and open challenges.
Considering processes of a business in a recommender system is highly advantageous. Although most studies in the business process analysis domain are of descriptive and predictive nature, the feasibility of constructing a process-aware recommender system is assessed in a few works. One reason can be the lack of knowledge on process mining potential for recommendation problems. Therefore, this paper aims to identify and analyze the published studies on process-aware recommender system techniques in business process management and process mining domain. A systematic review was conducted on 33 academic articles published between 2008 and 2020 according to several aspects. In this regard, we provide a state-of-the-art review with critical details and researchers with a better perception of which path to pursue in this field. Moreover, based on a knowledge base and holistic perspective, we discuss some research gaps and open challenges in this field.