This paper describes the context-aware mobile tourist application COMPASS that adapts its
services to the user's needs based on both the user's interests and his current context. In …

This article proposes an adaptable hybrid model for recommending effective investments in
different scenarios. Currently, a wide variety of methodologies are used for company …

This paper presents a SVM-based prediction approach for constructing personal
recommendation system for TV programs. We have applied support vector machine (SVM) …

The Internet has provided people with the possibility to easily publish and search for
information. This resulted in an enormous amount of online available information, products …

A recommender system is a kind of automated and sophisticated decision support system
that is needed to provide a personalized solution in a brief form without going through a …

Semantic web is the driving technology of today's Internet as it can provide valuable
information on-the-fly to users everywhere. The semantic web is well recognized as an …

In addition to turning me into a better researcher, Antal was also instrumental in improving
my Guitar Hero skills. Our thesis meetings during your sabbatical doubled as a kind of …

In a context characterized by a growing demand for networked services, users of advanced
applications sometimes face network performance troubles that may actually prevent them …

In Portugal, the organisations responsible for the internal control of the State's financial
administration need to progressively optimise their human resources in order to maximise …

Recommender systems help people to find information that is interesting to them. However,
current recommendation techniques only address the user's short-term and long-term …