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dc.contributor.authorPharo, Nilsen_US
dc.contributor.authorJärvelin, Kalervoen_US
dc.date.accessioned2010-04-12T08:01:25Z
dc.date.available2010-04-12T08:01:25Z
dc.date.issued2004en_US
dc.identifier.citationPharo, N. & Järvelin, K. (2004). The SST method: a tool for analysing Web information search processes. Information Processing & Management, 40 (4), 633-654.en_US
dc.identifier.issn0306-4573en_US
dc.identifier.urihttps://hdl.handle.net/10642/342
dc.description.abstractThe article presents the search situation transition (SST) method for analysing Web information search (WIS) processes. The idea of the method is to analyse searching behaviour, the process, in detail and connect both the searchers' actions (captured in a log) and his/her intentions and goals, which log analysis never captures. On the other hand, ex post factor surveys, while popular in WIS research, cannot capture the actual search processes. The method is presented through three facets: its domain, its procedure, and its justification. The method's domain is presented in the form of a conceptual framework which maps five central categories that influence WIS processes; the searcher, the social/organisational environment, the work task, the search task, and the process itself. The method's procedure includes various techniques for data collection and analysis. The article presents examples from real WIS processes and shows how the method can be used to identify the interplay of the categories during the processes. It is shown that the method presents a new approach in information seeking and retrieval by focusing on the search process as a phenomenon and by explicating how different information seeking factors directly affect the search process.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesInformation Processing & Managementen_US
dc.subjectInformation searchingen_US
dc.subjectInformation retrievalen_US
dc.subjectInformation seekingen_US
dc.subjectWorld Wide Weben_US
dc.subjectWWW
dc.titleThe SST method: a tool for analysing Web information search processesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionPostprint-version of published articleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.ipm.2003.08.005


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