Hybrid recommendation algorithms perform well in improving the accuracy of
recommendation systems. However, in specific applications, they still cannot reach the …

In order to improve the effect of cross‐border e‐commerce intelligent information
recommendation, this paper applies deep learning to the intelligent information processing …

Assessing the efficacy of algorithms plays a pivotal role in advancing various fields, both in
theory and practice. Unlike the predictive models, due to the intricate relationship between …

In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

In order to analyze the consumer behavior of social e‐commerce, this article attempts to
explore the irrational consumer behavior factors that affect the audience in the live broadcast …

Increasingly, there have been attempts to utilize physiological information collected from
different non-intrusive devices and sensors (eg, electroencephalogram, electrocardiograph …

This paper considers the cloud-based multi-agent system (MAS) in which for any agent to
obtain the most trustworthy data (MTD) that best matches the agents' personalized demands …

In order to improve the short‐term demand prediction effect of e‐commerce commodities,
this paper combines the deep neural network algorithm to predict the short‐term demand of …

In this era of information overload, Recommender Systems have become increasingly
important to assist internet users in finding the right choice from umpteen numbers of …

Recommendation systems play a pivotal role in improving product competitiveness.
Traditional recommendation models predominantly use centralized feature processing to …