Multidimensional Models of Information Need

Yun-jie (Calvin) Xu () and Kai Huang (Joseph) Tan ()
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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

Journal of Information & Knowledge Management (JIKM), 2009, vol. 08, issue 01, 53-66

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.

Keywords: Information retrieval; information behavior; relevance; topicality; novelty; redundancy (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1142/S0219649209002221

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