Mining Customer Preference in Physical Stores From Interaction Behavior-Reference-Cited by-同舟云学术

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Mining Customer Preference in Physical Stores From Interaction Behavior

Published:2017 Issue: Volume:5 Page:17436-17449
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Yuanyi^ORCID,Zheng Zengwei,Chen Sinong,Sun Lin^ORCID,Chen Dan

Funder

Hangzhou Key Laboratory for IoT Technology & Application

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/7859429/08019779.pdf?arnumber=8019779

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Use of Users’ Personal Data to Improve Online Retail Services: An Analysis from a Systematic Literature Review;Proceedings of the XIX Brazilian Symposium on Information Systems;2023-05-29

2. Analyzing Customer Behavior In-Store: A Review of Available Technologies;Advances in Digital Marketing and eCommerce;2023

3. Analyzing Customer Behavior on Online Products Using Decision Tree Machine Learning;2022 International Conference on Advances in Computing, Communication and Materials (ICACCM);2022-11-10

4. RecIoT: A Deep Insight into IoT-Based Smart Recommender Systems;Wireless Communications and Mobile Computing;2022-06-11

5. UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System;2021 International Joint Conference on Neural Networks (IJCNN);2021-07-18

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