Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks
By Cemal Okan Sakar, Suleyman Olcay Polat, Mete Katircioglu, Yomi Kastro. 2018
232 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Marketing
How researchers see this paper
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In Computer Vision and Pattern Recognition
- Christopher A. Choquette-Choo
- Hengrui Jia
- Varun Chandrasekaran
- Lucas Bourtoule
- Adelin Travers
- Nicolas Papernot
- Baiwu Zhang
- David Lie
Citations in the corpus
- Machine Unlearning (2019, methodology): “We utilize the SVHN [43] and the Purchase dataset [44] for our experiments.”
- SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training (2021, unknown): “Online Shoppers data is available through UCI and is designed to capture the difference between the behavior of online shoppers who make a purchase and those who do not [34].”