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March 3, 2026
Next, browse or purchase—A sequential and interpretable deep learning approach for predicting customer purchase intention
JF
Jiahui Feng
Tianjin University of Technology
HL
Hefu LIU
University of Science and Technology of China
Puntos clave
The approach predicts customer purchase intention effectively, leading to better-targeted marketing efforts.
A sequential and interpretable deep learning model has shown notable accuracy in predictions.
Utilizing a deep learning framework allows for better understanding of customer behavior and timeline events.
This model highlights the need for continuous refinement in predictive analytics for business applications.
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Feng et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d6fc6e9836116a27793
https://doi.org/https://doi.org/10.1016/j.ins.2026.123144
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Next, browse or purchase—A sequential and interpretable deep learning approach for predicting customer purchase intention | Synapse