A Novel Approach for Company Real Workplace Identification via E-commercial Data

Huimin Ren, Sijie Ruan*, Ye Yuan, Yanhua Li*, Jie Bao, Tianfu He, Huajun He, Chuishi Meng, Yu Zheng

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Urban growth benefits significantly from local business development. However, factors like traffic and labor shortages sometimes cause companies to operate away from their registered addresses, resulting in governance challenges. This paper introduces "LocRecognizer,"a data mining method that leverages e-commerce data to pinpoint companies' real-world operational locations. Based on the principle that areas with a high concentration of company-related users likely indicate actual workplaces, LocRecognizer combines hierarchical clustering with a deep learning model for accurate detection. When tested on datasets from Beijing and Nantong, it outperformed six baselines. A practical implementation of this system has been operational in Nantong since September 2021, attesting to its effectiveness.

源语言英语
主期刊名31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023
编辑Maria Luisa Damiani, Matthias Renz, Ahmed Eldawy, Peer Kroger, Mario A. Nascimento
出版商Association for Computing Machinery
ISBN(电子版)9798400701689
DOI
出版状态已出版 - 13 11月 2023
活动31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023 - Hamburg, 德国
期限: 13 11月 202316 11月 2023

出版系列

姓名GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

会议

会议31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023
国家/地区德国
Hamburg
时期13/11/2316/11/23

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