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Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks
2 references·16 citing·50 second hop
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this work references cited by second hop

References

  • 2007Introduction to Data Mining941 cited
  • 2003Typology of online shoppers285 cited

Cited by

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  • 2023A gradient boosting classifier for purchase intention prediction of online shoppers49 cited
  • 2022An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain45 cited
  • 2019Customer Purchase Intent Prediction Under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework44 cited
  • 2020Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research Agenda44 cited
  • 2023Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior40 cited
  • 2021Distribution-free double exponentially and homogeneously weighted moving average Lepage schemes with an application in monitoring exit rate38 cited
  • 2024Electronic shopping cart abandonment: What do we know and where should we be heading?36 cited
  • 2020Predicting online shopping cart abandonment with machine learning approaches36 cited
  • 2019Analysis of Different Predicting Model for Online Shoppers’ Purchase Intention from Empirical Data34 cited
  • 2020An XGBoost Algorithm for Predicting Purchasing Behaviour on E-Commerce Platforms

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33 cited
  • 2023Modeling online customer purchase intention behavior applying different feature engineering and classification techniques28 cited
  • 2025An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence28 cited
  • 2020Data-driven online service supply chain: a demand-side and supply-side perspective26 cited
  • 2022What prompts consumers to purchase online? A machine learning approach23 cited
  • 2020Real-Time Prediction of Online Shoppers’ Purchasing Intention Using Random Forest23 cited