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Multidimensional Models of Information Need

Author

Listed:
  • Yun-jie (Calvin) Xu

    (Department of Information Systems, School of Computing, National University of Singapore, 3 Science Drive 2 Singapore, 117543, Singapore)

  • Kai Huang (Joseph) Tan

    (Department of Information Systems, School of Computing, National University of Singapore, 3 Science Drive 2 Singapore, 117543, Singapore)

Abstract

User studies in information science have recognised relevance as a multidimensional construct. An implication of multidimensional relevance is that a user's information need should be modeled by multiple data structures to represent different relevance dimensions. While the extant literature has attempted to model multiple dimensions of a user's information need, the fundamental assumption that a multidimensional model is better than a uni-dimensional model has not been addressed. This study seeks to test this assumption. Our results indicate that a retrieval system that models both topicality and the novelty dimension of a users' information need outperforms a system with a uni-dimensional model.

Suggested Citation

  • Yun-jie (Calvin) Xu & Kai Huang (Joseph) Tan, 2009. "Multidimensional Models of Information Need," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 53-66.
    • Handle: RePEc:wsi:jikmxx:v:08:y:2009:i:01:n:s0219649209002221
    DOI: 10.1142/S0219649209002221
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