Using Folksonomies for Building User Interest Profile

  • Harshit Kumar
  • Hong-Gee Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6787)


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.


User Profiling Folksonomy Clustering 


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  1. 1.
    Noll, M.G., Meinel, C.: Web search personalization via social bookmarking and tagging. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 367–380. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  2. 2.
    Kelly, D., Teevan, J.: Implicit feedback for inferring user preference: A bibliography. In: SIGIR, pp. 18–28 (2003)Google Scholar
  3. 3.
    Agichtein, E., Brill, E., Dumais, S., Ragno, R.: Learning user interaction models for predicting web search result preferences. In: SIGIR, pp. 3–10 (2006)Google Scholar
  4. 4.
    Teevan, J., Dumais, S.T., Horvitz, E.: Personalizing search via automated analysis of interests and activities. In: SIGIR, pp. 449–456 (2005)Google Scholar
  5. 5.
    Chirita, P.A., Firan, C., Nejdl, W.: Summarizing local context to personalize global web search. In: CIKM, pp. 287–296. Springer, Heidelberg (2006)Google Scholar
  6. 6.
    Vallet, D., Cantador, I., Jose, J.M.: Personalizing web search with folksonomy-based user and document profiles. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 420–431. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  7. 7.
    Xu, S., Bao, S., Fei, B., Su, Z., Yu, Y.: Exploring folksonomy for personalized search. In: SIGIR, pp. 155–162 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Harshit Kumar
    • 1
  • Hong-Gee Kim
    • 1
  1. 1.BIKE LabSeoul National UniversitySeoulSouth Korea

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