  Prediction is one of the major challenges in complex systems. The prediction
methods have shown to be effective predictors of the evolution of networks.
These methods can help policy makers to solve practical problems successfully
and make better strategy for the future. In this work, we focus on exporting
countries' data of the international trading network. A recommendation system
is then used to identify the products corresponding to the production capacity
of each individual country, but are somehow overlook by the country. Then, we
simulate the evolution of the country's fitness if it would have followed the
recommendations. The result of this work is the combination combine these two
methods to provide insights to countries on how to enhance the diversification
of their exported products in a scientific way and improve national
competitiveness significantly, especially for developing countries.
