Recommendation System based on user interaction data applied to intelligent electronic books

Abstract

Nowadays, new technologies and the fast growth of the Internet have made access to information easier for all kind of people, raising new challenges to education when using Internet as a medium. One of the best examples is how to guide students in their learning processes. The need to look for guidance from their teachers or other companions that many Internet users experience when endeavoring to choose their readings, exercises o practices is a very common reality. In order to cater for this need many different information and recommendation strategies have been developed. Recommendation Systems is one of these. Recommendation Systems try to help the user, presenting him those objects he could be more interested in, based on his known preferences or on those of other users with similar characteristics. This document tries to present the current situation with regards to Recommendation Systems and their application on distance education over the Internet. © 2010 Published by Elsevier Ltd. All rights reserved.