The most important subjects in the memory‐based collaborative filtering recommender
system (RS) are to accurately calculate the similarities between users and finally finding …

This paper investigates the art design of user interaction experience in mobile systems
through the methods of contextual perception and machine learning. The theoretical …

Personalized recommendation technology, as one of the core technologies of an E‐
commerce platform, has attracted a lot of attention with the rise of E‐commerce in the …

Based on the internet of things (IoT) technology, building a digital management platform for
employment and entrepreneurship service system, recommending suitable corporate …

In today's world, due to the rapid growth in music tracks via both offline and online and give
better access to automatically classify its genre and based on that the recommendation for …

The advent of the era of big data has led to changes in learning concepts and methods.
Modern distance education breaks traditional education limitations and space limitations …

With the continuous progress of science and technology, the trend of integrating science and
technology into education has been unstoppable, and educators are constantly striving to …

With the rapid development of information technology, the problem of “information overload”
emerges when users choose cloud services. How to integrate multi‐source information to …

Web-based learning platforms are now offering a considerable amount of training options,
exhibiting great variability, similar to the one encountered by a potential customer in …

In the era of big data (BD), consumer behavior information is easier to collect. Therefore, as
a popular e-commerce (EC) industry, it is necessary to use data mining (DM) technology to …