Many mature term-based or pattern-based approaches have been used in the field of
information filtering to generate users' information needs from a collection of documents. A …

The image retrieval system is a computer system for browsing, searching and retrieving
images from a large database of digital images or text. Most traditional and common …

In the era of big data, focused analysis for diverse topics with a short response time
becomes an urgent demand. As a fundamental task, information filtering therefore becomes …

With the large quantity of textual information produced on the Internet, a critical necessity is
to filter out the irrelevant information and organize the rest into categories of interest (eg, an …

Sustainable use of water resources continues to be a challenge across the globe. This is in
part due to the complex set of physical and social behaviors that interact to influence water …

In recent years, topic modeling is gaining significant momentum in information retrieval (IR).
Researchers have found that utilizing the topic information generated through topic …

The internet contains a vast amount of textual information, and a crucial step is to filter out
irrelevant information and extract relevant topics of interest. However, supervised methods …

Water resources are greatly impacted by natural disasters, but very little is known about how
these issues are portrayed in the media across different types of disasters. Using a corpus of …

Narratives about water resources have evolved, transitioning from a sole focus on physical
and biological dimensions to incorporate social dynamics Recently, the importance of …

For traditional information filtering (IF) models, it is often assumed that the documents in one
collection are only related to one topic. However, in reality users' interests can be diverse …