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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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Bibliographic Details
Main Author: Che, Natasha
Format: eBook
Language:English
Published: Washington, D.C. International Monetary Fund 2020
Series:IMF Working Papers
Subjects:
Machine Learning
Technological Change: Choices And Consequences
Income
Technology
Personal Income
Export Diversification
Diffusion Processes
Trade: General
Intelligence (ai) & Semantics
Exports And Imports
International Economics
National Accounts
Personal Income, Wealth, And Their Distributions
Comparative Advantage; International Trade
Economic Development, Innovation, Technological Change, And Growth
International Trade
Exports
Macroeconomics
Comparative Advantage
Neoclassical Models Of Trade
Paraguay
Online Access:
Collection: International Monetary Fund - Collection details see MPG.ReNa
Description
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
Physical Description:46 pages
ISBN:9781513555959

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