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Based on the findings, the authors discuss practical implications for system design to support users' application of multiple search tactics for each factor.
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While users take leading roles in applying some search tactics, systems play dominant roles in other tactics.
We re-frame a model of search tactics, providing revised definitions that consider known collaborators.
User engagement and system support for different types of search tactics in the search process are illustrated.
Zhang (2008) proposed that the three mental models students use for web searches are acquiring information, understanding the working mechanisms of search engines, and devising search tactics.
An understanding of the impact of categorized overviews on search tactics will be useful to web search researchers, search interface designers, information architects and web developers.
Multiple search strategies were employed.
This chapter highlights the research on search tactics and information-seeking strategies as applied in the digital libraries.
Moreover, the study also discovered, qualitatively, in what ways these factors influence the selection of search tactics.
The column considered is modelled as a random medium and the search tactics for the control problem are formulated as those of automation behaviour in a random medium.
In this paper, we propose a new method for analysing search logs by (semi- automatically identifying usemi- automaticallyfrom logged events, allowidentifyingcale analysis that is comparable across search systems.
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