In order to adapt functionality to their individual users, systems need information about these
users. The Social Web provides opportunities to gather user data from outside the system …

Targeted advertisements, tailored information feeds, and recommended content are now
common and somewhat inescapable components of our everyday lives. With the help of …

Since their launch in the early 1990's, recommender systems (RSs) have played an
essential role in information filtering and providing personalized information to users by …

Online social networks now play a prominent role in our daily lives and our decisions and
behaviors in many areas. Of particular interest here is the application of social network data …

Research on service brands' participation in online activities has focused largely on Internet-
enabled transactions and functional interactions between the firm and the customer. Most …

Recommender systems have been an important tool to filter and tailor the best content for
online users. Classical recommender system methods typically face the filter bubble …

E‐learning platforms are becoming more and more important and they are gradually
changing people's learning ways. In the e‐learning platforms, users actively create and join …

In the past few decades, scientific communication has become widespread through
academic social networks (ASNs). The purpose of this article is to consider ASNs both as a …

We propose a user model to support personalized learning paths through online material.
Our approach is a variant of student modeling using the computer tutoring concept of …

In this paper, we present an evaluation of a social adaptive website in the domain of cultural
events, iCITY DSA, which provides information about cultural resources and events that …