English, Article edition: Multidimensional Models of Information Need Yun-jie (Calvin) Xu; Kai Huang (Joseph) Tan

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Physical Description
  • article
Language
  • English

Edition details

Title
  • Multidimensional Models of Information Need
Author
  • Yun-jie (Calvin) Xu
  • Kai Huang (Joseph) Tan
Physical Description
  • article
Notes
  • 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.
  • Information retrieval, information behavior, relevance, topicality, novelty, redundancy
  • RePEc:wsi:jikmxx:v:08:y:2009:i:01:p:53-66
Language
  • English
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