Business Process flexibility supports organizations in changing their everyday work activities
to remain competitive. Since much research has been done on this topic a better awareness …

One of the major problems in the domain of social networks is the handling and diffusion of
the vast, dynamic and disparate information created by its users. In this context, the …

Recommender systems aim to propose items that are expected to be of interest to the users.
As one of the most successful approaches to building recommender systems, collaborative …

In this paper, we present a framework which incorporates runtime adaptation for BPEL
scenarios. The adaptation is based on (a) the quality of service parameters of available …

Nowadays, due to the huge volume of information available on the web, the need for
personalization is more than necessary. Choosing the right information for each user is as …

Collaborative filtering creates personalized recommendations by considering ratings
entered by users. Collaborative filtering algorithms initially detect users whose likings are …

Collaborative filtering formulates personalized recommendations by considering ratings
submitted by users. Collaborative filtering algorithms initially find people having similar …

This article presents the work on social media analysis-driven policy-making platforms that
are powered by classic social media analysis technologies, such as policy modelling …

This work addresses the challenges of creating usable and personalized conversational
interfaces for broad, yet applicable, domains that require user engagement and learning …

The interactions in the world of the web and the possibilities offered by information and
communication technologies are becoming increasingly unlimited and at the same time …