2024
DOI: 10.1108/k-03-2024-0837
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An efficient attention-based hybridized deep learning network with deep RBM features for customer behavior prediction in digital marketing

B. Sakthi,
D. Sundar

Abstract: PurposeAn efficient customer behavior prediction model is designed using deep learning techniques. The necessary data used for the implementation are taken from standard datasets and presented to perform subsequent tasks. Here, deep restricted Boltzmann machines (RBM) features are retrieved from the input images. Further, the extracted deep RBM features are presented to the customer behavior prediction phase. Here, the attention-based hybrid deep learning (A-HDL) technique is designed based on the incorporatio… Show more

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