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An efficient attention-based hybridized deep learning network with deep RBM features for customer behavior prediction in digital marketing
12 references·0 citing·56 second hop
An efficient attention-based hybridized deep learning network with deep RBM features for customer behavior prediction in digital marketing (2024)An efficient attention-based hybridized d…Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction (2023)Prediction of hotel booking c…CRNet: a multimodal deep convolutional neural network for customer revisit prediction (2023)CRNet: a multimodal deep conv…Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks (2022)Sequential classification of …Efficient customer segmentation in digital marketing using deep learning with swarm intelligence approach (2022)Efficient customer segmentati…Customer purchasing behavior prediction using machine learning classification techniques (2022)Customer purchasing behavior …On the platform but will they buy? Predicting customers' purchase behavior using deep learning (2021)On the platform but will they…An online reviews-driven method for the prioritization of improvements in hotel services (2021)An online reviews-driven meth…A deep hybrid learning model for customer repurchase behavior (2020)A deep hybrid learning model …Customer Purchase Intent Prediction Under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework (2019)Customer Purchase Intent Pred…Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability (2018)Conversion Prediction from Cl…The Research and Application of Customer Segmentation on E-Commerce Websites (2016)The Research and Application …A proposed model of online consumer behavior: Assessing the role of gender (2009)A proposed model of online co…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. 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References

  • 2009A proposed model of online consumer behavior: Assessing the role of gender321 cited
  • 2021On the platform but will they buy? Predicting customers' purchase behavior using deep learning183 cited
  • 2021An online reviews-driven method for the prioritization of improvements in hotel services147 cited
  • 2022Efficient customer segmentation in digital marketing using deep learning with swarm intelligence approach110 cited
  • 2022Customer purchasing behavior prediction using machine learning classification techniques66 cited
  • 2023Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction60 cited
  • 2023CRNet: a multimodal deep convolutional neural network for customer revisit prediction55 cited
  • 2020A deep hybrid learning model for customer repurchase behavior46 cited
  • 2019Customer Purchase Intent Prediction Under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework44 cited
  • 2018Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability40 cited
  • 2016The Research and Application of Customer Segmentation on E-Commerce Websites36 cited
  • 2022Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks12 cited

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