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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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Zeitschriftentitel: | IMF Working Papers |
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Personen und Körperschaften: | |
In: | IMF Working Papers, 20, 2020, 175 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
International Monetary Fund (IMF)
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Schlagwörter: |
author_facet |
Che, Natasha Che, Natasha |
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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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2020 |
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International Monetary Fund (IMF) |
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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 |
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2020 |
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<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 |
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container_issue | 175 |
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container_title | IMF Working Papers |
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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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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 |