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Cover IMF Working Papers
Intelligent Export Diversification: An Export Recommendation System with Machine Learning
Ms. Natasha X Che
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.
Keywords:
WP; SITC product lists; price boom; product-space literature; country-product space; export basket; export product; KNN implementation; export diversificiation; comparative advantage; machine learning; collaborative filtering; economic growth; international trade; RCA export; export structure; diversification strategy; KNN recommender; export diversification recommendation; product name; Exports; Export diversification; Personal income; East Asia; Caribbean; Africa; Global; export diversification strategy