Intelligent Export Diversification: An Export Recommendation System with Machine Learning
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...
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Format: | eBook |
Language: | English |
Published: |
Washington, D.C.
International Monetary Fund
2020
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Series: | IMF Working Papers
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Online Access: | |
Collection: | International Monetary Fund - Collection details see MPG.ReNa |
Summary: | 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 |
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Physical Description: | 46 pages |
ISBN: | 9781513555959 |