Application of user-based collaborative filtering recommendation technology on logistics platform

Jian Li, Yajie Wang, Jun Wu, Fengmei Yang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013
EditorsLean Yu, Rongda Chen, Shouyang Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-138
Number of pages4
ISBN (Electronic)9781479947775
DOIs
Publication statusPublished - 18 Nov 2014
Externally publishedYes
Event6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013 - Hangzhou, Zhejiang, China
Duration: 14 Nov 201316 Nov 2013

Publication series

NameProceedings - 2013 6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013

Conference

Conference6th International Conference on Business Intelligence and Financial Engineering, BIFE 2013
Country/TerritoryChina
CityHangzhou, Zhejiang
Period14/11/1316/11/13

Keywords

  • collaborative filtering
  • logistics platform
  • personalized recommendation system

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