PROMOTING TRADING IN THE BACKWARD AREAS OF COUNTRY

With the continuous development of social economy and increasingly high urbanization level, China has become the second largest economy in the world. In the rural construction, along with the supportive policies concerning agriculture, rural areas and peasants, the rural economic level has been greatly improved, and the peasants' needs of daily life have basically been satisfied. However, in the context of ecommerce, the development of rural trade economy is still greatly constrained. Firstly, the transportation in rural areas is relatively poor, and the logistics and cold storage technologies are still not yet widely used. Therefore, the problem of decay of agricultural products can easily occur in logistics, and the preservation of agricultural products can hardly be addressed. Secondly, all kinds of logistics and transportation modes have not been effectively connected, a complete logistics network has not been constituted, the logistics industry development level is low, which also leads to a problem in sales of agricultural products-all these factors have negative impacts on the development of rural trade economy. Therefore, in this paper, the author studies the development of rural trade economy by using the expectation maximization algorithm, which aims to provide a reference for improving the level of rural trade and economic development