Analysis of the dynamic co-purchase network based on image shape feature

Xiaoyin Li*, Jean H Y LAI

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

E-commerce has become popular and profitable because it provides lots of convenience for both retailers and buyers. We introduce an idea that co-purchase network may have correlation with image shape feature. We develop a simple image shape retrieval model to automatically identify the items that the buyer would be interested. The results provide new insights into user behavior. Based on the results, we found that people would buy items which are similar in shape with the item that they have already selected. Based on this finding, it can provide more personalized recommendation of co-purchase items to the customer.

Original languageEnglish
Title of host publicationGenetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing
EditorsShu-Chuan Chu, Jerry Chun-Wei Lin, Chien-Ming Chen, Jeng-Shyang Pan
PublisherSpringer Verlag
Pages93-100
Number of pages8
ISBN (Print)9789811064869
DOIs
Publication statusPublished - 2018
Event11th International Conference on Genetic and Evolutionary Computing, 2017 - Kaohsiung, Taiwan, Province of China
Duration: 6 Nov 20178 Nov 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume579
ISSN (Print)2194-5357

Conference

Conference11th International Conference on Genetic and Evolutionary Computing, 2017
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period6/11/178/11/17

Scopus Subject Areas

  • Control and Systems Engineering
  • Computer Science(all)

User-Defined Keywords

  • Co-purchase
  • Image feature
  • User behavior

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