Research in imbalanced domain learning has almost exclusively focused on solving
classification tasks for accurate prediction of cases labelled with a rare class. Approaches for …

With the profusion of web content, researchers have avidly studied and proposed new
approaches to enable the anticipation of its impact on social media, presenting many distinct …

With the advancements in user-generated content sites, their prominence for multimedia
information dissemination is increasing on a rapid scale. An information about which content …

The increasing competition among the news industries puts editors under the pressure of
posting news articles that should gain more user attention. News popularity is predicted …

In today's era of information overload, personalized news recommendation systems are
crucial for connecting users with relevant content. The dynamic nature of user interests and …

Recommender systems have become a pervasive part of our daily online experience, and
are one of the most widely used applications of artificial intelligence and machine learning …

Identification of typical user behaviour within a web application is a crucial assumption for
revealing user characteristics, preferences and habits. Typical and repeating features of …

Distributed computing innovations, such as web applications delivered via the Internet, are
capable of providing a wide range of functionalities to end users. Online usage is common in …

The substantial competition among the news industries puts editors under the pressure of
posting news articles which are likely to gain more user attention. Anticipating the popularity …

The software sharing platform in the Internet provides great convenience for the promotion,
application and communication of software (especially source software). But there inevitably …