publication . Article . 2009

Multidimensional Models of Information Need

Kai Huang Joseph Tan; Yunjie Calvin Xu;
Open Access
  • Published: 01 Jan 2009 Journal: Journal of Information & Knowledge Management, volume 8, issue 1, pages 53-66
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, Data science, Information retrieval, Redundancy (engineering), Multiple time dimensions, Information needs, Novelty, Cognitive models of information retrieval, Information science, Relevance (information retrieval), Information behavior, Computer science
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