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An Adaptation Approach: Query Enrichment by User Profile

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Book cover Advanced Internet Based Systems and Applications (SITIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4879))

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Abstract

In semi-structured information systems, generally, the adaptation of documents is essential to give the user the feeling that the query result is adapted to his preferences. The user’s needs can be defined in a user profile. But, in the literature, adaptation systems are designed for a particular domain and are oriented towards either navigation adaptation or content adaptation. Adaptation takes place after the user’s query has been evaluated. So, in this paper, we contribute to propose an adaptation algorithm which is domain independent and whose adaptation takes place before user’s query evaluation. This algorithm consists in enriching the user query on the basis of user profile in order to adapt the results to the user.

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References

  1. Aiken, A., Hellerstein, J.M., Widom, J.: Static analysis techniques for predicting the behavior of active database rules. ACM Trans. Database Syst. 20(1), 3–41 (1995)

    Article  Google Scholar 

  2. Amous, I.: Méthodologies de conception d’applications hypermédia - Extension pour la réingénierie des sites Web. Thése de doctorat, Université Paul Sabatier, Toulouse, France (December 2002)

    Google Scholar 

  3. Bra, P.D., Aerts, A., Berden, B., de Lange, B., Rousseau, B., Santic, T., Smits, D., Stash, N.: Aha! the adaptive hypermedia architecture. In: HYPERTEXT 2003: Proceedings of the fourteenth ACM conference on Hypertext and hypermedia, pp. 81–84. ACM Press, New York (2003)

    Chapter  Google Scholar 

  4. Bra, P.D., Houben, G.-J., Wu, H.: Aham: a dexter-based reference model for adaptive hypermedia. In: HYPERTEXT 1999: Proceedings of the tenth ACM Conference on Hypertext and hypermedia: returning to our diverse roots, pp. 147–156. ACM Press, New York (1999)

    Google Scholar 

  5. Braga, D., Campi, A.: Xqbe: A graphical environment to query xml data. World Wide Web 8(3), 287–316 (2005)

    Article  Google Scholar 

  6. Brusilovsky, P.: Adaptive hypermedia. User Model. User-Adapt. Interact. 11(1-2), 87–110 (2001)

    Article  MATH  Google Scholar 

  7. Mills, J., Cleverdon, C.W., Keen, E.M.: Factors determining the performance of indexing systems. ASLIB Cranfield Research Project (1966)

    Google Scholar 

  8. Conklin, J., Begeman, M.L.: gibis: A hypertext tool for team design deliberation. In: Hypertext, pp. 247–251 (1987)

    Google Scholar 

  9. Encelle, B., Jessel, N.: Adapting presentation and interaction with XML documents to user preferences. In: Miesenberger, K., Klaus, J., Zagler, W.L., Burger, D. (eds.) ICCHP 2004. LNCS, vol. 3118, pp. 143–150. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Halasz, F., Schwartz, M.: The dexter hypertext reference model. Commun. ACM 37(2), 30–39 (1994)

    Article  Google Scholar 

  11. Kobsa, A., Koenemann, J., Pohl, W.: Personalised hypermedia presentation techniques for improving online customer relationships. Knowl. Eng. Rev. 16(2), 111–155 (2001)

    Article  MATH  Google Scholar 

  12. Koch, N., Kraus, A.: The expressive power of uml-based web engineering (2002)

    Google Scholar 

  13. Koutrika, G., Ioannidis, Y.: Personalization of queries in database systems. In: ICDE 2004: Proceedings of the 20th International Conference on Data Engineering, p. 597. IEEE Computer Society Press, Washington (2004)

    Google Scholar 

  14. van der Weide, T., Bommel, P.v.: GAM: A Generic Model for Adaptive Personalisation. Technical Report ICIS–R06022, Radboud University Nijmegen, Nijmegen, The Netherlands, EU (June 2006)

    Google Scholar 

  15. Yi, S., Huang, B., Chan, W.T.: Xml application schema matching using similarity measure and relaxation labeling. Inf. Sci. 169(1-2), 27–46 (2005)

    Article  MATH  Google Scholar 

  16. Zayani, C., Sedes, F., Peninou, A., Canut, M.-F., Amous, I.: Interrogation de documents semi-structurés: extensions basées sur l’adaptation l’utilisateur. In: INFORSID, Hammamet - Tunisie, 1-03 juin 06, pp. 97–112. Hermés Science Publications (June 2006), http://www.hermes-science.com/

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Zayani, C.A., Péninou, A., Canut, MF., Sèdes, F. (2009). An Adaptation Approach: Query Enrichment by User Profile. In: Damiani, E., Yetongnon, K., Chbeir, R., Dipanda, A. (eds) Advanced Internet Based Systems and Applications. SITIS 2006. Lecture Notes in Computer Science, vol 4879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01350-8_32

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  • DOI: https://doi.org/10.1007/978-3-642-01350-8_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01349-2

  • Online ISBN: 978-3-642-01350-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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