Intelligent Export Diversification: An Export Recommendation System with Machine Learning
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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.
Series:
Working Paper No. 2020/175
Subject:
Comparative advantage Export diversification Exports International trade Machine learning National accounts Personal income Technology
Frequency:
regular
English
Publication Date:
August 28, 2020
ISBN/ISSN:
9781513555959/1018-5941
Stock No:
WPIEA2020175
Pages:
46
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