In the vehicle sales area, a recommender system (RS) allows vehicle items to be displayed
and selected replied on the parameters that are the most relevant to specific users-buyers. In …

There have been many research efforts aimed at improving recommendation accuracy with
Collaborative Filtering (CF). Yet there is still a lack of investigation into the integration of CF …

Cardiac arrhythmias are not life-threatening straight away but can cause serious heart-
related complications if not medically handled appropriately. An electrocardiogram (ECG) …

When composing multiple preferences characterizing the most suitable results for a user,
several issues may arise. Indeed, preferences can be partially contradictory, suffer from a …

Collaborative Filtering techniques provide the ability to handle big and sparse data to predict
the ratings for unseen items with high accuracy. Matrix factorization is an accurate …

The purpose of this research was to explore the possibility to recommend programming
languages/frameworks to be used in a Software Development Project using ontology …

The notion of preferences plays an important role in many disciplines including service
robotics which is concerned with scenarios in which robots interact with humans. These …

Web mining is utilization of information mining procedures to extricate information from Web.
Web mining has been investigated to an immense degree as well as various methods have …

This chapter reviews the work done at the ITAKA research group in the last decade on
extending the ELECTRE multiple criteria decision aiding method. We present three different …

Abstract Development of Intelligent Environments have been so far mostly ad-hoc and here
we investigate one fundamental bottleneck which needs to be addressed to facilitate more …