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Ranked Tag Recommendation Systems Based on Logistic Regression

  • J. R. Quevedo
  • E. Montañés
  • J. Ranilla
  • I. Díaz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6076)

Abstract

This work proposes an approach to tag recommendation based on a logistic regression based system. The goal of the method is to support users of current social network systems by providing a rank of new meaningful tags for a resource. This system provides a ranked tag set and it feeds on different posts depending on the resource for which the user requests the recommendation. The performance of this approach is tested according to several evaluation measures, one of them proposed in this paper (\(F_1^+\)). The experiments show that this learning system outperforms certain benchmark recommenders.

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References

  1. 1.
    Basile, P., Gendarmi, D., Lanubile, F., Semeraro, G.: Recommending smart tags in a social bookmarking system. In: Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007), pp. 22–29 (2007)Google Scholar
  2. 2.
    Keerthi, S.S., Lin, C.J., Weng, R.C.: Trust region newton method for logistic regression. Journal of Machine Learning Research (9), 627–650 (2008)MathSciNetzbMATHGoogle Scholar
  3. 3.
    Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Trend detection in folksonomies, pp. 56–70 (2006)Google Scholar
  4. 4.
    Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002)CrossRefGoogle Scholar
  5. 5.
    Jäschke, R., Marinho, L., Hotho, A., Schmidt-Thieme, L., Stumme, G.: Tag recommendations in folksonomies. In: Hinneburg, A. (ed.) Proceedings of LWA 2007, September 2007, pp. 13–20 (2007)Google Scholar
  6. 6.
    Katakis, I., Tsoumakas, G., Vlahavas, I.: Multilabel text classification for automated tag suggestion. In: Proceedings of ECML PKDD Discovery Challenge (RSDC 2008), pp. 75–83 (2008)Google Scholar
  7. 7.
    Marinho, L., Schmidt-Thieme, L.: Collaborative tag recommendations. In: Studies in Classification, Data Analysis, and Knowledge Organization, pp. 533–540. Springer, Heidelberg (2008)Google Scholar
  8. 8.
    Sigurbjörnsson, B., van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: Proceedings of WWW 2008, pp. 327–336. ACM, New York (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • J. R. Quevedo
    • 1
  • E. Montañés
    • 1
  • J. Ranilla
    • 1
  • I. Díaz
    • 1
  1. 1.Computer Science DepartmentUniversity of OviedoSpain

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