Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks
Author:
Funder
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3523-0.pdf
Reference52 articles.
1. Carmona CJ, Ramírez-Gallego S, Torres F, Bernal E, del Jesús MJ, García S (2012) Web usage mining to improve the design of an e-commerce website: OrOliveSur. com. Expert Syst Appl 39(12):11243–11249
2. Rajamma RK, Paswan AK, Hossain MM (2009) Why do shoppers abandon shopping cart? Perceived waiting time, risk, and transaction inconvenience. J Prod Brand Manag 18(3):188–197
3. Ding AW, Li S, Chatterjee P (2015) Learning user real-time intent for optimal dynamic web page transformation. Inf Syst Res 26(2):339–359
4. Moe WW (2003) Buying, searching, or browsing: differentiating between online shoppers using in-store navigational clickstream. J Consum Psychol 13(1–2):29–39
5. Albert TC, Goes PB, Gupta A (2004) A model for design and management of content and interactivity of customer-centric web sites. MIS Q 28(2):161–182
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