Research on the Recommendation System of Motorcycle Logistics Scale Control Based on User Behaviors-A Case for Motorcycle Logistics in Pearl River Delta of China
Abstract：With the development of computer science, the hot spots of cloud computing and big data are constantly receiving attention from all walks of life. The field of motorcycle logistics management is no exception for it. Using cloud computing and big data technology, and the complex relationships between users, agents, manufacturers and warehousing companies, this paper implements the control of motorcycle production, warehousing scale, liquidity, logistics costs, etc. Motorcycle logistics recommendation system functions include motorcycle classification, user behavior analysis, product recommendation and performance-price analysis. It predicts the scale of motorcycle logistics, to achieve multiple win-win in production, supply, marketing and demand.
吕海燕. 基于用户行为的摩托车物流规模控制推荐系统研究--以珠三角摩托车物流为例[J]. 电脑与电信, 2018, 1(11): 18-21.
LV Hai-yan. Research on the Recommendation System of Motorcycle Logistics Scale Control Based on User Behaviors-A Case for Motorcycle Logistics in Pearl River Delta of China . Computer & Telecommunication, 2018, 1(11): 18-21.
2018, Vol. 1 
