Please wait a minute...
Computer & Telecommunication  2018, Vol. 1 Issue (11): 18-21    DOI:
Current Issue | Archive | Adv Search |
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
Guangdong Baiyun University
Download:   PDF(0KB)
Export: BibTeX | EndNote (RIS)      
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.
Key wordsmotorcycle      logistics scale control      recommendation system     
Published: 16 January 2019
ZTFLH:  G203  

Cite this article:

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.

URL:

http://www.computertelecom.com.cn/EN/     OR     http://www.computertelecom.com.cn/EN/Y2018/V1/I11/18

[1] OU Wei-hong YANG Yong-qin. Research on the Book Recommendation System Based on Mahout under the Big Data Platform[J]. 电脑与电信, 2021, 1(9): 28-31.
[2] GENG Yi-wen. Research on Recommendation System Based on StackedAutoencoder[J]. 电脑与电信, 2020, 1(11): 65-70.
[3] Shu Jingdong, Liu Long. Design of the Motorcycle Alarm Based on the Internet of Things[J]. 电脑与电信, 2017, 1(7): 66-68.
[4] Chen Zebo. Research on the Application of Collaborative Filtering Recommendation System Based on Classification[J]. 电脑与电信, 2015, 1(9): 60-62.
[5] Chen Hang. Design of Tag Recommendation System Based on Hadoop[J]. 电脑与电信, 2015, 1(7): 59-61.
Copyright © Computer & Telecommunication, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd