Computational models of cognitive processes may be employed in cyber-security tools,
experiments, and simulations to address human agency and effective decision-making in …

User behavior mining on Social Media (UBMSM) is the process of representing, analyzing,
and extracting operational and behavioral patterns from user behavioral data in social …

With the growing popularity of microblogging services such as Twitter in recent years, an
increasing number of users are using these services in their daily lives. The huge volume of …

With the widespread of social media websites in the internet, and the huge number of users
participating and generating infinite number of contents in these websites, the need for …

In the face of escalating global Cybersecurity threats, having an automated forewarning
system that can find suspicious user profiles is paramount. It can work as a prevention …

In the information age we are living in today, not only are we interested in accessing
multimedia objects such as documents, videos, etc. but also in searching for professional …

In recent years, social networks have become one of the best ways to access information.
The ease with which users connect to each other and the opportunity provided by Twitter …

The recent explosion of Big Data is offering new chances and challenges to all those
platforms that provide personalized access to information sources, such as recommender …

Multifaceted user modeling aims to uncover fine-grained patterns and learn representations
from user data, revealing their diverse interests and characteristics, such as profile …

Recommender systems have become an important application domain related to the
development of personalized mobile services. Thus, various recommender mechanisms …