publication . Article . 2009

Multidimensional Models of Information Need

Yun-jie (Calvin) Xu; Kai Huang (Joseph) Tan;
Open Access
  • Published: 01 Jan 2009 Journal: Journal of Information & Knowledge Management, volume 8, pages 53-66 (issn: 0219-6492, eissn: 1793-6926, Copyright policy)
  • Publisher: World Scientific Pub Co Pte Lt
Abstract
<jats:p> 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 outpe...
Subjects
free text keywords: Information retrieval, information behavior, relevance, topicality, novelty, redundancy, Computer Networks and Communications, Library and Information Sciences, Computer Science Applications
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