Intelligent environments are rapidly gaining ground, propelled by a rich sensor
infrastructure, the Internet of Things, sophisticated reasoning capabilities, and Artificial …

This chapter gives an overview of the area of explanations in recommender systems. We
approach the literature from the angle of evaluation: that is, we are interested in what makes …

Technology enhanced learning (TEL) aims to design, develop and test socio-technical
innovations that will support and enhance learning practices of both individuals and …

The increasing number of publications on recommender systems for Technology Enhanced
Learning (TEL) evidence a growing interest in their development and deployment. In order …

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical
innovations that will support and enhance learning practices of both individuals and …

The evaluation of interactive adaptive systems has long been acknowledged to be a
complicated and demanding endeavour. Some promising approaches in the recent past …

This paper suggests an alternative to the traditional" as a whole" approach of evaluating
adaptive learning systems (ALS), and adaptive systems, in general. We argue that the …

Recommender systems usually provide explanations of their recommendations to better
help users to choose products, activities or even friends. Up until now, the type of an …

Adaptive systems are usually interactive systems. As such they stand to benefit considerably
from a development lifecycle that ensures user involvement from the early design stages …

In this article, we describe a hybrid recommender system (RS) in the artistic and cultural
heritage area, which takes into account the activities on social media performed by the target …