A Systematic Literature Review on Process-Aware Recommender Systems

TL;DR

This paper systematically reviews 33 studies on process-aware recommender systems, highlighting current research, gaps, and challenges in integrating process mining with recommendation techniques in business process management.

Contribution

It provides a comprehensive state-of-the-art review and identifies research gaps and open challenges in the field of process-aware recommender systems.

Findings

Identified key research trends from 2008 to 2020.

Highlighted gaps in process mining applications for recommendations.

Discussed open challenges and future directions.

Abstract

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.