The proliferation of social network data has unlocked unprecedented opportunities for
extensive, data-driven exploration of human behavior. The structural intricacies of 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 …

Interest is an important concept in psychology and pedagogy and is widely studied in many
fields. Especially in recent years, the widespread use of many interest-based …

The exhaustion, disappointment, and listlessness experienced under digital capitalism,
explored through works by contemporary artists, writers, and performers. Sometimes …

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 …

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 accurate identification of user interests on Twitter can lead to more efficient procurement
of targeted content for the users. While the analysis of user content has engaged with on …

This paper presents Wiki-MID, a LOD compliant multi-domain interests dataset to train and
test Recommender Systems, and the methodology to create the dataset from Twitter …

With more than one billion monthly active users and nearly 100 million photos shared on the
platform daily, Instagram has become among the richest sources of information for detecting …

User profiling has existed in the social media since their inception and has supported most
of their business model. Even if users do not actively share the information about themselves …