Deep Learning-Driven E-Commerce Marketing Communication for Recommending Shopping System and Optimizing User Experience
Qian Liu,
Haibing Tang,
Lufei Wu
et al.
Abstract:As competition in the realm of e-commerce escalates, the provision of personalized and precise shopping recommendations emerges as a pivotal strategy for e-commerce platforms striving to engage users effectively. Traditional recommendation systems often grapple with challenges such as the inability to capture intricate relationships, limited personalization, and issues concerning diversity. In response to these challenges, this study introduces cutting-edge deep learning techniques, namely Transformer models, … Show more
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