Related papers: A Systematic Literature Review on Process-Aware Recommender Systems

A Systematic Literature Review on Process-Aware Recommender Systems

URL: http://arxiv.org/abs/2103.16654v2
Date: Mon, 17 May 2021 08:21:48 GMT
Title: A Systematic Literature Review on Process-Aware Recommender Systems
Authors: Mansoureh Yari Eili, Jalal Rezaeenour, Mohammadreza Fani Sani
Abstract summary: This paper aims to identify and analyze the published studies on process-aware recommender system techniques. A systematic review was conducted on 33 academic articles published between 2008 and 2020.
Score: 0.0
License: http://creativecommons.org/licenses/by-sa/4.0/
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.

Related papers

A Systematic Review on Process Mining for Curricular Analysis [0.9208007322096533]
Educational Process Mining (EPM) is a data analysis technique that is used to improve educational processes. One specific application of EPM is curriculum mining, which focuses on understanding the learning program students follow to achieve educational goals. We conducted a systematic literature review to identify works on applying PM to curricular analysis and provide insights for further research.
arXiv Detail & Related papers (2024-09-13T21:35:11Z)
A Systematic Review of Business Process Improvement: Achievements and Potentials in Combining Concepts from Operations Research and Business Process Management [0.0]
Business Process Management and Operations Research aim to enhance value creation in organizations. This systematic literature review identifies and analyzes work that uses combined concepts from both disciplines. Results indicate a strong focus on resource allocation and scheduling problems.
arXiv Detail & Related papers (2024-09-02T14:13:14Z)
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review [51.61531917413708]
Deep learning-based approaches for Key Information Extraction have been proposed under the umbrella term Document Understanding. The goal of this systematic literature review is an in-depth analysis of existing approaches in this domain and the identification of opportunities for further research.
arXiv Detail & Related papers (2024-07-23T08:15:55Z)
A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches) [4.499009117849108]
We perform a systematic review of academic literature to investigate the integration of AI/ML in business process management. In business process management and process map, AI/ML has made significant improvements using operational data on process metrics.
arXiv Detail & Related papers (2024-07-07T18:26:00Z)
Impression-Aware Recommender Systems [57.38537491535016]
Novel data sources bring new opportunities to improve the quality of recommender systems. Researchers may use impressions to refine user preferences and overcome the current limitations in recommender systems research. We present a systematic literature review on recommender systems using impressions.
arXiv Detail & Related papers (2023-08-15T16:16:02Z)
Knowledge-enhanced Neural Machine Reasoning: A Review [67.51157900655207]
We introduce a novel taxonomy that categorizes existing knowledge-enhanced methods into two primary categories and four subcategories. We elucidate the current application domains and provide insight into promising prospects for future research.
arXiv Detail & Related papers (2023-02-04T04:54:30Z)
Fairness in Recommender Systems: Research Landscape and Future Directions [119.67643184567623]
We review the concepts and notions of fairness that were put forward in the area in the recent past. We present an overview of how research in this field is currently operationalized. Overall, our analysis of recent works points to certain research gaps.
arXiv Detail & Related papers (2022-05-23T08:34:25Z)
Prescriptive Process Monitoring: Quo Vadis? [64.39761523935613]
The paper studies existing methods in this field via a Systematic Literature Review ( SLR) The SLR provides insights into challenges and areas for future research that could enhance the usefulness and applicability of prescriptive process monitoring methods.
arXiv Detail & Related papers (2021-12-03T08:06:24Z)
Recommender Systems for Configuration Knowledge Engineering [55.41644538483948]
We show how recommender systems can support knowledge base development and maintenance processes. We report the results of empirical studies which show the importance of user-centered configuration knowledge organization.
arXiv Detail & Related papers (2021-02-16T12:29:54Z)

This list is automatically generated from the titles and abstracts of the papers in this site.