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Qiu, L.: Markov models of search state patterns in a hypertext information retrieval system (1993) 0.00
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Abstract

The objective of this research is to discover the search state patterns through which users retrieve information in hypertext systems. The Markov model is used to describe users' search behavior. As determined by the log-linear model test, the second-order Markov model is the best model. Search patterns of different user groups were studied by comparing the corresponding transition probability matrices. The comparisons were made based on the following factors: gender, search experience, search task, and the user's academic background. The statistical tests revealed that there were significant differences between all the groups being compared

Source

Journal of the American Society for Information Science. 44(1993) no.7, S.413-427
Qiu, L.: Analytical searching vs. browsing in hypertext information retrieval systems (1993) 0.00
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Abstract

Reports an experiment conducted to study search behaviour of different user groups in a hypertext information retrieval system. A three-way analysis of variance test was conducted to study the effects of gender, search task, and search experience on search option (analytical searching versus browsing), as measured by the proportion of nodes reached through analytical searching. The search task factor influenced search option in that a general task caused more browsing and specific task more analytical searching. Gender or search experience alone did not affect the search option. These findings are discussed in light of evaluation of existing systems and implications for future design

Source

Canadian journal of information and library science. 18(1993) no.4, S.1-13