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

随着计算机科学的发展，云计算和大数据研究的热点不断受到各行各业的关注，摩托车物流管理领域也不例外。利用云计算和大数据技术，及社会复杂网络群体的用户、代理商、生产商和仓储公司的复杂关系，实施摩托车生产量、仓储规模、流通量、物流成本等控制，受到业界人士的积极响应。摩托车物流推荐系统功能包括摩托车分类、用户行为分析、产品推荐、性价比分析等数据融合内容，对摩托车物流规模进行预测，实现产、供、销、需多方共赢。

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

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.