We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whil...
Abstract. This paper studies the properties of a helpful and trustworthy explanation in a movie recommender system. It discuss the results of an experiment based on a natural langu...
Open learner models (OLM) are learner models that are accessible to the learner they represent. Many examples now exist, often with the aim of prompting learner reflection on their...
This paper presents the methods used in a TV Recommender System that helps users in the difficult task of finding an interesting TV program from among the hundreds of channels that...
The evolution of learning systems brought improvements to the functionality of their components by offering support and mediating learning, communication and collaboration. However...