As the world struggles with several compounded challenges caused by the COVID-19
pandemic in the health, economic, and social domains, timely access to disaggregated …

Typically, Internet of Things (IoT) is perceived as the technology for connecting people,
devices, vehicles, home appliances, etc., and 212 billion heterogenous devices are …

With the development of the Internet, smart campus education and online social platforms
have become the mainstream of establishing social relationships. Although many users …

Link recommendation is an important and compelling problem at the intersection of
recommender systems and online social networks. Given a user, link recommenders identify …

This study develops a pragmatic scheme that facilitates insight development from the
collective voice of target users in Twitter, which has not been considered in the existing …

With artificial intelligence and machine learning enhancement over time, many concepts in
commerce and marketing have changed. Today, many people are using online shopping …

The rapid development of e-commerce shopping marketplaces necessitates the use of
recommendation engines and quick, precise, and efficient algorithms in order for the …

Followee recommendation is a problem rapidly gaining importance in Twitter as well as in
other micro-blogging communities. Hence, understanding how users select whom to follow …

People use microblogging platforms like Twitter to involve with other users for a wide range
of interests and practices. Twitter profiles run by different types of users such as humans …

El vínculo entre trastornos mentales y el uso de redes sociales ha llevado a los
investigadores a trabajar en el desarrollo de métodos automatizados para detectar …