Research on Recommendation System of Agricultural Products E-Commerce Platform Based on Hadoop
Jiahuan Li, Liqing Zhou · 2018
In recent years, with the vigorous promotion of “Internet + Agriculture” in China, more and more agricultural products e-commerce platforms have emerged. Due to the shortage of personalized services on the existing agricultural products e-commerce platform, this paper studies Hadoop-based agricultural product e-commerce recommendation system. The Hadoop platform can not only solve the storage problem of massive data, but also quickly analyze the user's behavior data through distributed computing, thereby discovering their interests, providing personalized recommendation service for them, and achieving precision marketing of target users. At the same time, this paper provides a reference for the development of agricultural products e-commerce.