@inproceedings{2486b5bb8bc04f849950a7b38ebd8794,
title = "Analysis of the dynamic co-purchase network based on image shape feature",
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.",
keywords = "Co-purchase, Image feature, User behavior",
author = "Xiaoyin Li and LAI, {Jean H Y}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 11th International Conference on Genetic and Evolutionary Computing, 2017 ; Conference date: 06-11-2017 Through 08-11-2017",
year = "2018",
doi = "10.1007/978-981-10-6487-6_12",
language = "English",
isbn = "9789811064869",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "93--100",
editor = "Shu-Chuan Chu and Lin, {Jerry Chun-Wei} and Chien-Ming Chen and Jeng-Shyang Pan",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing",
address = "Germany",
}