Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM r...
Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks
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Publisher
London: Springer London
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Language
English
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Publisher
London: Springer London
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Contents
In this paper, we propose a real-time online shopper behavior analysis system consisting of two modules which simultaneously predicts the visitor’s shopping intent and Web site abandonment likelihood. In the first module, we predict the purchasing intention of the visitor using aggregated pageview data kept track during the visit along with some se...
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Full title
Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks
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TN_cdi_proquest_journals_2307054331
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2307054331
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-018-3523-0
