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Popularität und Relevanz in der Suche
n order to judge the relevance of search results in web search engines or library
catalogues, users apply various criteria to judge the relevance of their search
results. Modern academic search systems integrate additional information about
the document into the search result presentation, in addition to the traditional
metadata, which can be used for relevance judgments, such as the citation count
in Google Scholar. Such popularity data can be seen as an indicator for quality.
So far, there are no studies on relevance criteria that consider popularity data as
part of the search results in an academic context. This is where the present work
sets in by focusing on the criteria for relevance judgments of search results in
academic search systems and by investigating the influence of popularity data on
judgments. For this purpose, a model was developed that shows the process of
relevance judgment of search results in academic search systems and the influencing parameters that are part of this process
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