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A Novel Multi-agent Community Building Scheme Based on Collaboration Filtering

  • Yu Sun
  • Peng Han
  • Qian Zhang
  • Xia Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3583)

Abstract

Research on e-learner community building has attracted much attention for its effectiveness in sharing the learning experience and resources among geographically dispersed e-learners. While collaborative filtering proves its success as one of the most efficient methods in finding similar users in e-commerce domain, it does meet special challenges in e-learning areas. In this paper, we incorporate multi-agent techniques into collaborative filtering and propose a novel community building scheme. By doing so, we manage to collect useful information from the learner behaviors and thus increase the scalability and flexibility of traditional collaborative filtering methods. The experiment on a standard benchmark shows that our scheme has reasonable community building quality and e-learners can make better recommendations to each other inside the community.

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References

  1. 1.
    Breese, J., Heckerman, D., Kadie, C.: Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pp. 43–52 (1998)Google Scholar
  2. 2.
    Herlocker, J.L., Konstan, J.A., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 230–237 (1999)Google Scholar
  3. 3.
    Linden, G., Smith, B., York, J.: Amazon.com Recommendations Item-to-item collaborative filtering. IEEE Internet Computing 7(1), 76–80 (2003)CrossRefGoogle Scholar
  4. 4.
    Eachmovie collaborative filtering data set.: http://research.compaq.com/SRC/eachmovie

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yu Sun
    • 1
  • Peng Han
    • 2
  • Qian Zhang
    • 1
  • Xia Zhang
    • 1
  1. 1.National Engineering Research Center for Computer SoftwareNortheastern UniversityShenyangChina
  2. 2.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina

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