Application of User-Based Collaborative Filtering Recommendation Technology on Logistics Platform

With the rapid development of logistics industry, there are lots of logistics service and tons of data emerging on logistics platform. To match service and customers better, personalized recommendations logistics services is needed. In this paper, we introduce a collaborative filtering technology of e-commerce personalized recommendation system into the logistics platform. We present the application of the technology in the logistics platform step by step. Finally, we conduct a numerical example to illustrate the use of the technology proposed in this paper.