Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing

Patrik Zajec; Jože M. Rožanec; Elena Trajkova; Inna Novalija; Klemen Kenda; Blaž Fortuna; Dunja Mladenić

doi:10.20944/preprints202110.0090.v1

A peer-reviewed article of this Preprint also exists.

Zajec, P.; Rožanec, J.M.; Trajkova, E.; Novalija, I.; Kenda, K.; Fortuna, B.; Mladenić, D. Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing. Information 2021, 12, 473. Zajec, P.; Rožanec, J.M.; Trajkova, E.; Novalija, I.; Kenda, K.; Fortuna, B.; Mladenić, D. Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing. Information 2021, 12, 473.

Abstract

This research work describes an architecture for building a system that guide a user from a forecast generated by a machine learning model through a sequence of decision-making steps. The system is demonstrated in manufacturing demand forecasting use case and can be extended to other domains. In addition, the system provides means for knowledge acquisition by gathering data from users. Finally, it implements an active learning component and compares multiple strategies to recommend media news to the user. Such media news aims to provide additional context to demand forecasts and enhance judgment on decision-making.

Keywords

artificial intelligence; machine learning; active learning; knowledge acquisition; explainable artificial intelligence; manufacturing; demand forecasting; smart assistant

Subject

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing

Abstract

Keywords

Subject

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