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Automated user modeling for personalized digital libraries

Author

Listed:
  • Frias-Martinez, E.
  • Magoulas, G.
  • Chen, S.
  • Macredie, R.

Abstract

Digital libraries (DLs) have become one of the most typical ways of accessing any kind of digitalized information. Due to this key role, users welcome any improvements on the services they receive from DLs. One trend used to improve digital services is through personalization. Up to now, the most common approach for personalization in DLs has been user driven. Nevertheless, the design of efficient personalized services has to be done, at least in part, in an automatic way. In this context, machine learning techniques automate the process of constructing user models. This paper proposes a new approach to construct DLs that satisfy a user's necessity for information: Adaptive DLs, libraries that automatically learn user preferences and goals and personalize their interaction using this information.

Suggested Citation

  • Frias-Martinez, E. & Magoulas, G. & Chen, S. & Macredie, R., 2006. "Automated user modeling for personalized digital libraries," International Journal of Information Management, Elsevier, vol. 26(3), pages 234-248.
    • Handle: RePEc:eee:ininma:v:26:y:2006:i:3:p:234-248
    DOI: 10.1016/j.ijinfomgt.2006.02.006
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    References listed on IDEAS

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    1. Marshall C. Ramsey & Hsinchun Chen & Bin Zhu & Bruce R. Schatz, 1999. "A collection of visual thesauri for browsing large collections of geographic images," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 826-834.
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    Cited by:

    1. Wang, Hui-Chih & Doong, Her-Sen, 2010. "Argument form and spokesperson type: The recommendation strategy of virtual salespersons," International Journal of Information Management, Elsevier, vol. 30(6), pages 493-501.
    2. Kim, Jae Kyeong & Kim, Hyea Kyeong & Oh, Hee Young & Ryu, Young U., 2010. "A group recommendation system for online communities," International Journal of Information Management, Elsevier, vol. 30(3), pages 212-219.

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