Recommender systems are widely used for suggesting books, education materials, and
products to users by exploring their behaviors. In reality, users' preferences often change …

The recent decade has seen an explosion in the e-commerce industry with the support of
modern technologies (eg, artificial intelligence) to maximize conversion rates. Many …

Researchers have investigated a number of strategies for capturing and analyzing data
analyst event logs in order to design better tools, identify failure points, and guide users …

With the rapid development of the Internet and the continuous progress of computer science
and technology, Internet-based online trading has developed rapidly and improved the …

Previous research differentiated expert vs. novice performances based on how (dis) similar
novices' action sequences were from that of the expert's by way of similarity measures …

The continuous growth of the World Wide Web has led to the problem of long access delays.
To reduce this delay, prefetching techniques have been used to predict the users' browsing …

Abstract World Wide Web is growing rapidly with different kinds of websites making it
complex along with increasing traffic on the web. However predicting what the user wants …

In time-aware recommender systems, we have to consider the dynamic aspect of
recommendation that is fond of new coming data. Usually, the recent data is more closely …

In the last decade, we have witnessed the dramatic development of the smart home industry.
Smart home systems are currently facing an explosive growth of data. Making good use of …

The convenience store industry in Japan holds immense significance, making a thorough
comprehension of customer purchase behaviour invaluable for companies aiming to gain …