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

This research work describes an architecture for building a system that guides a user from a forecast generated by a machine learning model through a sequence of decision-making steps. The system is demonstrated in a manufacturing demand forecasting use case and can be extended to other domains. In...

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Autores principales:	Patrik Zajec, Jože M. Rožanec, Elena Trajkova, Inna Novalija, Klemen Kenda, Blaž Fortuna, Dunja Mladenić
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	artificial intelligence machine learning active learning knowledge acquisition explainable artificial intelligence manufacturing Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/4d99dfedc7cd44ed9f543efd8e3dbe79
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id	oai:doaj.org-article:4d99dfedc7cd44ed9f543efd8e3dbe79
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spelling	oai:doaj.org-article:4d99dfedc7cd44ed9f543efd8e3dbe792021-11-25T17:58:38ZHelp Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing10.3390/info121104732078-2489https://doaj.org/article/4d99dfedc7cd44ed9f543efd8e3dbe792021-11-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/473https://doaj.org/toc/2078-2489This research work describes an architecture for building a system that guides a user from a forecast generated by a machine learning model through a sequence of decision-making steps. The system is demonstrated in a manufacturing demand forecasting use case and can be extended to other domains. In addition, the system provides the 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. We compare such strategies through a set of experiments to understand how they balance learning and provide accurate media news recommendations to the user. The media news aims to provide additional context to demand forecasts and enhance judgment on decision-making.Patrik ZajecJože M. RožanecElena TrajkovaInna NovalijaKlemen KendaBlaž FortunaDunja MladenićMDPI AGarticleartificial intelligencemachine learningactive learningknowledge acquisitionexplainable artificial intelligencemanufacturingInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 473, p 473 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence machine learning active learning knowledge acquisition explainable artificial intelligence manufacturing Information technology T58.5-58.64
spellingShingle	artificial intelligence machine learning active learning knowledge acquisition explainable artificial intelligence manufacturing Information technology T58.5-58.64 Patrik Zajec Jože M. Rožanec Elena Trajkova Inna Novalija Klemen Kenda Blaž Fortuna Dunja Mladenić Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing
description	This research work describes an architecture for building a system that guides a user from a forecast generated by a machine learning model through a sequence of decision-making steps. The system is demonstrated in a manufacturing demand forecasting use case and can be extended to other domains. In addition, the system provides the 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. We compare such strategies through a set of experiments to understand how they balance learning and provide accurate media news recommendations to the user. The media news aims to provide additional context to demand forecasts and enhance judgment on decision-making.
format	article
author	Patrik Zajec Jože M. Rožanec Elena Trajkova Inna Novalija Klemen Kenda Blaž Fortuna Dunja Mladenić
author_facet	Patrik Zajec Jože M. Rožanec Elena Trajkova Inna Novalija Klemen Kenda Blaž Fortuna Dunja Mladenić
author_sort	Patrik Zajec
title	Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing
title_short	Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing
title_full	Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing
title_fullStr	Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing
title_full_unstemmed	Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing
title_sort	help me learn! architecture and strategies to combine recommendations and active learning in manufacturing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4d99dfedc7cd44ed9f543efd8e3dbe79
work_keys_str_mv	AT patrikzajec helpmelearnarchitectureandstrategiestocombinerecommendationsandactivelearninginmanufacturing AT jozemrozanec helpmelearnarchitectureandstrategiestocombinerecommendationsandactivelearninginmanufacturing AT elenatrajkova helpmelearnarchitectureandstrategiestocombinerecommendationsandactivelearninginmanufacturing AT innanovalija helpmelearnarchitectureandstrategiestocombinerecommendationsandactivelearninginmanufacturing AT klemenkenda helpmelearnarchitectureandstrategiestocombinerecommendationsandactivelearninginmanufacturing AT blazfortuna helpmelearnarchitectureandstrategiestocombinerecommendationsandactivelearninginmanufacturing AT dunjamladenic helpmelearnarchitectureandstrategiestocombinerecommendationsandactivelearninginmanufacturing
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Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing

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