Fab: content-based, collaborative recommendation
Communications of the ACM
Building a Web-Based Education System
Building a Web-Based Education System
IEEE Transactions on Knowledge and Data Engineering
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
Web 2.0: The Business Model
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Interaction Design: Beyond Human - Computer Interaction
Interaction Design: Beyond Human - Computer Interaction
Affective impact of navigational and signaling aids to e-learning
Computers in Human Behavior
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Implicit feedback techniques on recommender systems applied to electronic books
Computers in Human Behavior
Knowledge-Based Systems
Hybrid recommendation approaches for multi-criteria collaborative filtering
Expert Systems with Applications: An International Journal
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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.