Exploring Folksonomy Structure for Personalizing the Result Merging Process in Distributed Information Retrieval

  • Zakaria Saoud
  • Samir Kechid
  • Radia Amrouni
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8891)

Abstract

In this paper we present a new personalized approach that integrates a social profile in distributed search system. The proposed approach exploits the social profile and the different relations between social entities to : (i) make a query expansion, (ii) personalize and improve the result merging process in distributed information retrieval.

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References

  1. 1.
    Lawrence, S., Giles, C.L.: Accessibility of information on the web. Nature 400, 107–107 (1999)CrossRefGoogle Scholar
  2. 2.
    Saito, K., Kimura, M., Ohara, K., Motoda, H.: Selecting information diffusion models over social networks for behavioral analysis. In: Balcázar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010, Part III. LNCS, vol. 6323, pp. 180–195. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  3. 3.
    Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies: Search and ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)Google Scholar
  4. 4.
    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
  5. 5.
    Schenkel, R., Crecelius, T., Kacimi, M., Neumann, T., Parreira, J.X., Spaniol, M., Weikum, G.: Social wisdom for search and recommendation. IEEE Data Eng. Bull. 31, 40–49 (2008)Google Scholar
  6. 6.
    Bender, M., Crecelius, T., Kacimi, M., Michel, S., Neumann, T., Parreira, J.X., Schenkel, R., Weikum, G.: Exploiting social relations for query expansion and result ranking. In: IEEE 24th International Conference on Data Engineering Workshop, ICDEW 2008, pp. 501–506. IEEE (2008)Google Scholar
  7. 7.
    Jeon, H., Kim, T., Choi, J.: Personalized information retrieval by using adaptive user profiling and collaborative filtering. AISS 2, 134–142 (2010)CrossRefGoogle Scholar
  8. 8.
    Fox, E.A., Shaw, J.A.: Combination of multiple searches, pp. 243–243. NIST Special Publication SP (1994)Google Scholar
  9. 9.
    Yuwono, B., Lee, D.L.: Server ranking for distributed text retrieval systems on the internet. In: DASFAA, vol. 97, pp. 41–49. Citeseer (1997)Google Scholar
  10. 10.
    Si, L., Callan, J.: A semisupervised learning method to merge search engine results. ACM Transactions on Information Systems (TOIS) 21, 457–491 (2003)CrossRefGoogle Scholar
  11. 11.
    Si, L., Callan, J.: Modeling search engine effectiveness for federated search. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 83–90. ACM (2005)Google Scholar
  12. 12.
    Kechid, S., Drias, H.: Personalizing the source selection and the result merging process. International Journal on Artificial Intelligence Tools 18, 331–354 (2009)CrossRefGoogle Scholar
  13. 13.
    Kechid, S., Drias, H.: Personalised distributed information retrieval-based agents. International Journal of Intelligent Systems Technologies and Applications 9, 49–74 (2010)Google Scholar
  14. 14.
    Smyth, B.: Web search: Social & collaborative. In: COnférence en Recherche d’Infomations et Applications - CORIA 2011, 8th French Information Retrieval Conference, Avignon, France, March 16-18, p. 3 (2011)Google Scholar
  15. 15.
    Rocchio, J.J.: Relevance feedback in information retrieval (1971)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Zakaria Saoud
    • 1
  • Samir Kechid
    • 1
  • Radia Amrouni
    • 1
  1. 1.LRIA, Computer Science DepartmentUSTHBAlgiersAlgeria

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