A Customer Profiling’ Machine Learning Approach, for In-store Sales in Fast Fashion-Reference-Cited by-同舟云学术

A Customer Profiling’ Machine Learning Approach, for In-store Sales in Fast Fashion

Published:2019 Issue: Volume: Page:586-591
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Fares Naila,Lebbar Maria,Sbihi Najiba

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-11928-7_53

Reference13 articles.

1. Heuer, M., Becker-Leifhold, C.: Eco-Friendly and Fair: Fast Fashion and Consumer Behaviour (2018)

2. Talón-Ballestero, P., et al.: Using big data from customer relationship management information systems to determine the client profile in the hotel sector. Tour. Manag. 68, 187–197 (2018)

3. Alsina, T., et al. Targeting customer segments. US Patent No. 9,881,320. 30 Jan 2018

4. Lederman, R.D., McFaddin, H.S., Narayanaswami, C.: US Patent Application No. 15/282,703 (2018)

5. Gómez-Boix, Alejandro, Arco, Leticia, Nowé, Ann: Consumer Segmentation Through Multi-instance Clustering Time-Series Energy Data from Smart Meters, pp. 117–136. Soft Computing for Sustainability Science. Springer, Cham (2018)

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