Contextualization.md

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-# Contextualization
+# Relevance feedback / Contextualization
 
-DynaQ offers the concept of 'relevance feedback' - simply mark your documents as relevant, and these and similar ones will appear higher inside the result list. 
+DynaQ offers the concept of contextualization. This means an additional, more generic query specification with a so-called 'context', where documents that are similar to the specified context will be ranked higher. Result documents will be marked/shown as relevant to a specified context, which is a kind of classification (3).
 
-![relevant_document_annotated](uploads/602183153998543d9e1f912458d701cb/relevant_document_annotated.png)
+![screenshotContextualization.png](uploads/b57556b2b122aedc02d628aae2767ae3/screenshotContextualization.png.png)
 
+A context can be specified by documents as relevance feedback - simply mark documents as relevant, and these and similar ones will appear higher inside the result list (1). If you have a heterogenous result list, e.g. with plants and bears, mark one or more bear or animal documents if you search for bears, which is more generic as specifying an additional search term. The query statement will be 'give me more documents like these with my search terms inside'. You can even search for similar documents without any search terms when you just leave them.
 
-![screenshotContextualization.png](uploads/b57556b2b122aedc02d628aae2767ae3/screenshotContextualization.png.png)
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+The relevance degree of the context can also be adjusted with an according relevance slider (2). The similarity of a result document to the context will be shown in an additional column inside the birdeye view with grey background (3). There you can see that if you raise the relevance of the context with the slider, context-similar documents will move to the top.
+
+DynaQ enables to save queries (inclusive facets and context) as so-called '[Topics](https://git.opendfki.de/reuschling/dynaq/-/wikis/Classification)'. You can specify or enhance your context with one or more topics also (4). Topics are more 'on the point' as generic relevance documents. You can use them for e.g. dedicated classification tasks during your searches.
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