Skip to main content

Educational Services Recommendation Using Social Network Approach

  • Conference paper
Intelligent Information and Database Systems (ACIIDS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6591))

Included in the following conference series:

Abstract

In this work we propose a framework for courses recommendation. We use a social network approach to discover relations between users and discover social networks reflecting the patterns according to which the services are used. The topological analysis of this network allows us to detect dense groups of users which tend to use educational. The method for educational services and the results of some experiments are given.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adamic, L.A., Adar, E.: Friends and Neighbors on the Web. Social Networks 25(3), 211–230 (2003)

    Article  Google Scholar 

  2. Boyd, D.M.: Friendster and Publicly Articulated Social Networking. In: CHI 2004, pp. 1279–1282. ACM Press, New York (2004)

    Google Scholar 

  3. Faust, K.: Models and Methods in Social Network Analysis. In: Carrington, P., Scott, J., Wasserman, S. (eds.) New York (2005)

    Google Scholar 

  4. Freeman, L.C.: Centrality in social networks: Conceptual clarification. Social Networks 1(3), 215–239 (1979)

    Article  Google Scholar 

  5. Garton, L., Haythorntwaite, C., Wellman, B.: Studying Online Social Networks. Journal of Computer-Mediated Communication 3(1) (1997)

    Google Scholar 

  6. Hanneman, R., Riddle, M.: Introduction to social network methods (January 4, 2006); online textbook http://faculty.ucr.edu/~hanneman/nettext/

  7. Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5–53 (2004)

    Article  Google Scholar 

  8. Millen, D., Feinberg, J., Kerr, B.: Social bookmarking in the enterprise. Queue 3(9) (2005)

    Google Scholar 

  9. Montaner, M., Lopez, B., De La Rosa, J.L.: Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review 19, 285–330 (2003)

    Article  Google Scholar 

  10. Palla, G., Derenyi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435, 814–818 (2005)

    Article  Google Scholar 

  11. Palla, G., Derenyi, I., Vicsek, T.: Clique percolation in random networks. Phys. Rev. Lett. 94, 160–202 (2005)

    MATH  Google Scholar 

  12. Palla, G., Barabasi, A.-L., Vicsek, T.: Quantifying social group evolution. Nature 446, 664–667 (2007)

    Article  Google Scholar 

  13. Resnick, P., Varian, H.R.: Recommender Systems. Communications of the ACM 40(3), 56–58 (1997)

    Article  Google Scholar 

  14. Rosen, M., Lublinsky, B., Smith, K.T., Balcer, M.J.: Service-Oriented Architecture and Design Strategies. Wiley Publishing, Inc., Chichester (2008)

    Google Scholar 

  15. Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of recommendation algorithms for e-commerce. In: Proceedings of the 2nd ACM Conference on Electronic Commerce, pp. 158–167 (2000)

    Google Scholar 

  16. Shaw, M.E.: Group structure and the behavior of individuals in small groups. Journal of Psychology 38, 139–149 (1954)

    Article  Google Scholar 

  17. Tintarev, N., Masthoff, J.: A Survey of Explonations in Recommender Systems. In: Data Engineering Workshop, pp. 801–810 (2007)

    Google Scholar 

  18. Wasserman, S., Faust, K.: Social network analysis: Methods and applications. Cambridge University Press, New York (1994)

    Book  MATH  Google Scholar 

  19. Wellman, B., Salaff, J., Dimitrova, D., Garton, L., Gulia, M., Haythornthwaite, C.: Computer Networks as Social Networks: Collaborative Work, Telework, and Virtual Community. Annual Review Sociology 22, 213–238 (1996)

    Article  Google Scholar 

  20. Yang, W.S., Dia, J.B., Cheng, H.C., Lin, H.T.: Mining Social Networks for Targeted Advertising. In: 39th Hawaii International International Conference on Systems Science (HICSS-39 2006). IEEE Computer Society, Los Alamitos (2006)

    Google Scholar 

  21. Zhu, W., Chen, C., Allen, R.B.: Visualizing an enterprise social network from email. In: 6th ACM/IEEE-CS Joint Conference on Digital Libraries. ACM Press, New York (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Juszczyszyn, K., Prusiewicz, A. (2011). Educational Services Recommendation Using Social Network Approach. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6591. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20039-7_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20039-7_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20038-0

  • Online ISBN: 978-3-642-20039-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics