Inferring users' interests from their activities on social networks has been an emerging
research topic in the recent years. Most existing approaches heavily rely on the explicit …

Social networks enable users to freely communicate with each other and share their recent
news, ongoing activities or views about different topics. As a result, they can be seen as a …

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 …

Recent advances in microblog content summarization has primarily viewed this task in the
context of traditional multi-document summarization techniques where a microblog post or …

Predicting users' interests on social networks is gaining attention due to its potential to cater
customized information and services to the end users. Although previous works have …

E-learning proves its importance in the diverse educational levels over traditional education.
An adaptive e-learning system needs to deduce the learner model for adding …

Purpose Twitter users' generated data, known as tweets, are now not only used for
communication and opinion sharing, but they are considered an important source of …

The abundance of user generated content on social media provides the opportunity to build
models that are able to accurately and effectively extract, mine and predict users' interests …

Various embodiments are described herein for a system and method for determining a
community of users with similar temporal behaviour from a plurality of users that generate …

The accurate prediction of users' future interests on social networks allows one to perform
future planning by studying how users will react if certain topics emerge in the future. It can …