Improving Online Customer Shopping Experience with Computer Vision and Machine Learning Methods-Reference-Cited by-同舟云学术

Improving Online Customer Shopping Experience with Computer Vision and Machine Learning Methods

Published:2016 Issue: Volume: Page:427-436
ISSN:0302-9743
Container-title:HCI in Business, Government, and Organizations: eCommerce and Innovation
language:
Short-container-title:

Author:

Li Zequn,Li Honglei,Shao Ling

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-39396-4_39

Reference47 articles.

1. Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006)

2. Andersen, R., Borgs, C., Chayes, J., Feige, U., Flaxman, A., Kalai, A., Mirrokni, V., Tennenholtz, M.: Trust-based recommendation systems: an axiomatic approach. In: Proceedings of the 17th International Conference on World Wide Web, pp. 199–208. ACM (2008)

3. Banko, M., Cafarella, M.J., Soderland, S., Broadhead, M., Etzioni, O.: Open information extraction for the web. In: IJCAI, vol. 7, pp. 2670–2676 (2007)

4. Bauer, H.H., Falk, T., Hammerschmidt, M.: eTransQual: a transaction process-based approach for capturing service quality in online shopping. J. Bus. Res. 59(7), 866–875 (2006)

5. Lecture Notes in Computer Science;L Bossard,2013

Cited by 3 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. AI-Driven Recommendations: A Systematic Review of the State of the Art in E-Commerce;Applied Sciences;2023-04-29

2. A Machine Learning based Approach to Identify User Interests from Social Data;2022 24th International Multitopic Conference (INMIC);2022-10-21

3. DeepWear;Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction;2018-03-18