Collaborative filtering (CF) algorithms have been widely used to build recommender
systems since they have distinguishing capability of sharing collective wisdoms and …

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 …

Collaborative tagging systems, also known as folksonomies, have grown in popularity over
the Web on account of their simplicity to organize several types of content (eg, Web pages …

In this paper we provide a classification of adaptive systems with respect to the kind of
semantic technology they exploit to accomplish or improve specific adaptation and user …

Pseudo-relevance feedback (PRF) is a type of relevance feedback approach of query
expansion that considers the top ranked retrieved documents as relevance feedback. In this …

With the development of social networking applications, microblog has turned to be an
indispensable online communication network in our daily life. For microblog users …

In the era of big data, collaborative tagging (aka folksonomy) systems have proliferated as a
consequence of the growth of Web 2.0 communities. Constructing user profiles from …

In this work we present an in-depth analysis of the user behaviors on different Social
Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon …

With the widespread of social media websites in the internet, and the huge number of users
participating and generating infinite number of contents in these websites, the need for …

As social networks are growing in terms of the number of users, resources and interactions;
the user may be lost or unable to find useful information. Social elements could avoid this …