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|c 5.00 USD
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|z 9781513555959
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|a 1018-5941
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|a BD-DhAAL
|c BD-DhAAL
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|a Che, Natasha.
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|a Intelligent Export Diversification :
|b An Export Recommendation System with Machine Learning /
|c Natasha Che.
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|a Washington, D.C. :
|b International Monetary Fund,
|c 2020.
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| 300 |
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|a 1 online resource (46 pages)
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|a IMF Working Papers
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|a <strong>Off-Campus Access:</strong> No User ID or Password Required
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|a <strong>On-Campus Access:</strong> No User ID or Password Required
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|a Electronic access restricted to authorized BRAC University faculty, staff and students
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|a 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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|a Mode of access: Internet
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|a IMF Working Papers; Working Paper ;
|v No. 2020/175
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| 856 |
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|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/2020/175/001.2020.issue-175-en.xml
|z IMF e-Library
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