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 …

The automation process for inferring users' interest groups is a challenge task in social
networks research and it has applications in marketing and recommendation systems …

How to model user interests and intentions through user profiling is an important key for
providing personalized service on Internet. User profiling can be seen as the inference of …

Modeling users' interests plays an important role in the current web since it is at the basis of
many services such as recommendation and customization. Using semantic technologies to …

User modeling based on the user-generated content of users on social networks such as
Twitter has been studied widely, and has been used to provide personalized …

We present a framework for (automatically) classifying the relative interests of Twitter users
using information from Wikipedia. Our proposed framework first uses Wikipedia to …

The most important goal for digital libraries is to ensure high quality search experience for all
kinds of users. To attain this goal, it is necessary to have as much relevant metadata as …

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 …

The constantly growing amount of Web content and the success of the Social Web lead to
increasing needs for Web archiving. These needs go beyond the pure preservation of Web …

Social media based recommendation systems infer users' interests from their social network
activity in order to provide personalised recommendations. Typically, the user profiles are …