• Media type: E-Book
  • Title: Intelligent Export Diversification : An Export Recommendation System with Machine Learning
  • Contributor: Che, Natasha Xingyuan [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2021]
  • Published in: IMF Working Paper ; No. 20/175
  • Extent: 1 Online-Ressource (47 p)
  • Language: English
  • DOI: 10.2139/ssrn.3721200
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments August 1, 2020 erstellt
  • Description: 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
  • Access State: Open Access