Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm

Abstract

This paper introduces the concept of the decision-making support system for operators of machines deployed at production sites. The architecture and basic concepts are discussed. It is indicated how the proposed solution fulfills the requirements concerning Industry 5.0 paradigm. The system also utilizes the idea of the Tweeting Factory [16] paradigm, making it easy to apply in various industry branches.