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

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.

[1]  Madely du Preez Social Web Evolution: Integrating Semantic Applications and Web 2.0 Technologies , 2009 .

[2]  Sri Hastuti Kurniawan,et al.  Review of Interaction design , 2003 .

[3]  Stuart A. Sutton Building a Web-based Education System , 1999 .

[4]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[5]  David Wiley,et al.  Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy , 2000 .

[6]  Michael J. Pazzani,et al.  Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.

[7]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction , 2002 .

[8]  Badrul H. Khan,et al.  Web-based instruction , 1997 .

[9]  Rosabel Roig-Vila,et al.  Objetos de aprendizaje (learning objects) como respuesta educativa al alumnado con altas capacidades desde la inclusión digital , 2004 .

[10]  Yoav Shoham,et al.  Fab: content-based, collaborative recommendation , 1997, CACM.

[11]  Subhash Bhalla,et al.  Dynamic Personalization for Book Recommendation System Using Web Services and Virtual Library Enhancements , 2007, 7th IEEE International Conference on Computer and Information Technology (CIT 2007).

[12]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction. Second Edition , 2007 .

[13]  Batul J. Mirza,et al.  Jumping Connections: A Graph-Theoretic Model for Recommender Systems , 2001 .

[14]  Miltiadis D. Lytras,et al.  Social Web Evolution: Integrating Semantic Applications and Web 2.0 Technologies , 2009 .

[15]  Yvonne Rogers,et al.  Interaction Design - Beyond Human-Computer Interaction, 3rd Edition , 2012 .

[16]  Miltiadis D. Lytras,et al.  Web 2.0: The Business Model , 2008 .