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Intelligent Export Diversification : An Export Recommendation System with Machine Learning: An Export Recommendation System with Machine Learning

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Bibliographische Detailangaben
Zeitschriftentitel: IMF Working Papers
Personen und Körperschaften: Che, Natasha
In: IMF Working Papers, 20, 2020, 175
Format: E-Article
Sprache: Englisch
veröffentlicht:
International Monetary Fund (IMF)
Schlagwörter:
author_facet Che, Natasha
Che, Natasha
author Che, Natasha
spellingShingle Che, Natasha
IMF Working Papers
Intelligent Export Diversification : An Export Recommendation System with Machine Learning
General Medicine
author_sort che, natasha
spelling Che, Natasha 1018-5941 International Monetary Fund (IMF) General Medicine http://dx.doi.org/10.5089/9781513555959.001 <jats:p>This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth. The recommendation system is able to accurately predict the historical trends in export content and structure for high-growth countries, such as China, India, Poland, and Chile, over 20-year spans. As a contemporary case study, the system is applied to Paraguay, to create recommendations for the country's export diversification strategy.</jats:p> An Export Recommendation System with Machine Learning Intelligent Export Diversification : An Export Recommendation System with Machine Learning IMF Working Papers
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title_sub An Export Recommendation System with Machine Learning
title Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_unstemmed Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_full Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_fullStr Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_full_unstemmed Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_short Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_sort intelligent export diversification : an export recommendation system with machine learning
topic General Medicine
url http://dx.doi.org/10.5089/9781513555959.001
publishDate 2020
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description <jats:p>This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth. The recommendation system is able to accurately predict the historical trends in export content and structure for high-growth countries, such as China, India, Poland, and Chile, over 20-year spans. As a contemporary case study, the system is applied to Paraguay, to create recommendations for the country's export diversification strategy.</jats:p>
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author Che, Natasha
author_facet Che, Natasha, Che, Natasha
author_sort che, natasha
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description <jats:p>This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth. The recommendation system is able to accurately predict the historical trends in export content and structure for high-growth countries, such as China, India, Poland, and Chile, over 20-year spans. As a contemporary case study, the system is applied to Paraguay, to create recommendations for the country's export diversification strategy.</jats:p>
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publishDate 2020
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source_id 49
spelling Che, Natasha 1018-5941 International Monetary Fund (IMF) General Medicine http://dx.doi.org/10.5089/9781513555959.001 <jats:p>This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth. The recommendation system is able to accurately predict the historical trends in export content and structure for high-growth countries, such as China, India, Poland, and Chile, over 20-year spans. As a contemporary case study, the system is applied to Paraguay, to create recommendations for the country's export diversification strategy.</jats:p> An Export Recommendation System with Machine Learning Intelligent Export Diversification : An Export Recommendation System with Machine Learning IMF Working Papers
spellingShingle Che, Natasha, IMF Working Papers, Intelligent Export Diversification : An Export Recommendation System with Machine Learning, General Medicine
title Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_full Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_fullStr Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_full_unstemmed Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_short Intelligent Export Diversification : An Export Recommendation System with Machine Learning
title_sort intelligent export diversification : an export recommendation system with machine learning
title_sub An Export Recommendation System with Machine Learning
title_unstemmed Intelligent Export Diversification : An Export Recommendation System with Machine Learning
topic General Medicine
url http://dx.doi.org/10.5089/9781513555959.001