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International Conference on User Modeling, Adaptation, and Personalization

UMAP 2011: User Modeling, Adaption and Personalization pp 438–441Cite as

Using Folksonomies for Building User Interest Profile

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6787))

Abstract

This work exploits folksonomy for building User Interest Profile (UIP) based on user’s search history. UIP is an indispensable source of knowledge which can be exploited by intelligent systems for query recommendation, personalized search, and web search result ranking etc. A UIP consist of a clustered list of concepts and their weights. We show how to design, implement, and visualize such a system, in practice, which aids in finding interesting relationships between concepts and detect outliers, if any. The experiment reveals that UIP not only captures user interests but also its context and results are very promising.

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References

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Author information

Authors and Affiliations

  1. BIKE Lab, Seoul National University, Yeong-gun, Jong-ro, Seoul, South Korea

    Harshit Kumar & Hong-Gee Kim

Authors
  1. Harshit Kumar
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  2. Hong-Gee Kim
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Minnesota, 4-192 Keller Hall, 55455, Minneapolis, MN, USA

    Joseph A. Konstan

  2. E.T.S. Ing. Informatica, Universidad de Málaga, Boulevard Lois Pasteur, 35, 29071, Malaga, Spain

    Ricardo Conejo

  3. EPS Edifici P-IV ( D.208), University of Girona, Campus de Montilivi, 17071, Girona, Spain

    José L. Marzo

  4. Telefonica Research R& D, Via Augusta, 177, 08021, Barcelona, Catalonia, Spain

    Nuria Oliver

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kumar, H., Kim, HG. (2011). Using Folksonomies for Building User Interest Profile. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds) User Modeling, Adaption and Personalization. UMAP 2011. Lecture Notes in Computer Science, vol 6787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22362-4_46

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  • DOI: https://doi.org/10.1007/978-3-642-22362-4_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22361-7

  • Online ISBN: 978-3-642-22362-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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