Predictive analysis of social media data has attracted considerable attention from the
research community as well as the business world because of the essential and actionable …

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 …

Twitter, due to its massive growth as a social networking platform, has been in focus for the
analysis of its user generated content for personalization and recommendation tasks. A …

Using semantic technologies for mining and intelligent information access to social media is
a challenging, emerging research area. Traditional search methods are no longer able to …

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 rapidly increasing deployment of Internet-connected, location-aware mobile
devices, very large and increasing amounts of geo-tagged and timestamped user-generated …

Chapter Title: Twitris- a System for Collective Social Intelligence Synonyms Glossary
Introduction Page 1 Chapter Title: Twitris- a System for Collective Social Intelligence Amit …

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, user interest detection …

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 …

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 …