Providing Personalised Recommendations in a Web-Based Education System

  • Colm O’Riordan
  • Josephine Griffith
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2774)


Given the changing profile of learners, the continual need to enhance employee skills and the flexibility offered by online learning, web-based education has been afforded much attention in the past number of years. It is imperative that web-based education provides personalised learning (right information to the right people) and also addresses the feelings of isolation reported by many students who are learning without the traditional classroom environment. This paper presents details of a system which provides personalised intelligent recommendations on course content and peer-peer groups. We present an approach to combine different sources of information by utilising a number of approaches including information retrieval and collaborative filtering techniques.


Information Retrieval Collaborative Filter Vector Space Model Similar User Intelligent Tutor System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    O’Riordan, C., Griffith, J.: A multi-agent approach to intelligent on-line education. Journal of Interactive Learning Research 10(3), 246 (1999)Google Scholar
  2. 2.
    Hartley, J.R., Collins-Brown, E.: Effective pedagogies for managing collaborative learning in on-line learning environments. Educational Technology & Society 2(2) (1999)Google Scholar
  3. 3.
    Olguin, C., Delgado, A.: An agent infrastructure to set collaborative environments. Educational Technology & Society 3(3) (2000)Google Scholar
  4. 4.
    Brusilovsky, P.: Course sequencing for static courses? applying ITS techniques in large-scale web-based education. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 625–634. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  5. 5.
    Ragoonaden, K., Bordeleau, P.: Collaborative learning via the internet. Educational Technology & Society 3(3) (2000)Google Scholar
  6. 6.
    Burns, H.L., Capps, C.G.: Foundations of Intelligent Tutoring Systems: An Introduction. Lawrence Erlbaum Associates, Hillsdale (1988)Google Scholar
  7. 7.
    Benest, I.D., Worsley, M.J.: Finding knowledge in an on-line lecture corpus. In: 3rd Annual Conference of the LTSN Centre for Information and Computer Sciences, pp. 37–42 (2002)Google Scholar
  8. 8.
    Brusilovsky, P.: Adaptive and intelligent technologies for web-based education. KI - Kúnstliche Intelligenz 13(4), 19–25 (1999)Google Scholar
  9. 9.
    Anjaneyulu, K.: Concept level modelling an the www. In: Workshop an Intelligent Educational Systems an the World Wide Web (1997)Google Scholar
  10. 10.
    McCalla, G., Greer, J., Kumar, V., Meagher, P., Collins, J., Tkatch, R., Parkinson, B.: A peer help system for workplace training. In: Proceedings of the 8th World Conference an Artificial Intelligence in Education, AI-ED 1997, pp. 183–190 (1997)Google Scholar
  11. 11.
    Salton, G.: Automatic Text Processing: The transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley, Reading (1989)Google Scholar
  12. 12.
    Shardanand, U., Maes, P.: Social information filtering: Algorithms for automating ”word of mouth”. In: Computer-Human Interfaces, CHI 1995 (1995)Google Scholar
  13. 13.
    Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proceedings of ACM 1994 Conference an CSCW, Chapel Hill, pp. 175–186 (1994)Google Scholar
  14. 14.
    Griffith, J., O’Riordan, C.: Non-traditional collaborative filtering techniques. Technical report, Dept. of IT., NUI, Galway (2002)Google Scholar
  15. 15.
    Herlocker, B.J., Konstan, J., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: SICIR, pp. 230-237 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Colm O’Riordan
    • 1
  • Josephine Griffith
    • 1
  1. 1.Departement of Information TechnologyNational University of IrelandGalwayIreland

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