The rapid advancement of big data and artificial intelligence heralds a dual-edged era of
opportunities and challenges for the banking sector. Indeed, enhancing a model's capability …

Customer purchase prediction is increasingly recognized as a crucial marketing strategy in
B2C e-business, promising enhanced business profitability and customer satisfaction …

Consumer preference prediction aims to predict consumers' future purchases based on their
historical behavior-level data. Using machine learning algorithms, the prediction results …

In this study, we aim to investigate the influence of the time spent reading product
information on consumer behavior in e-commerce. Given the rapid growth of e-commerce …

Since online shopping has become an important way for consumers to make purchases,
consumers have signed up to e-commerce platforms to shop online. However, retailers are …

In an increasingly competitive market, predicting the customer's consumption behavior has a
vital role in customer relationship management. In this study, a new classifier for customer …

The radial basis function neural network (RBFNN) has gained widespread adoption due to
its simple network topology and excellent learning capability. However, the performance of …

It remains an important and challenging problem for the classification of long-tailed data.
Most existing methods focus on sampling strategies based on tail classes. However …

This study aimed to understand changes in the culture of consumption in the selected
consumer segments regarding COVID-19 during the lockdown. The empirical research was …

由于生鲜果蔬生产的地域性和季节性, 生鲜果蔬在采摘后需要经过运输, 贮藏等物流过程才可以
到达消费者的手中, 在此过程外界因素的影响会造成生鲜果蔬发生一系列生理变化 …