Difference between revisions of "Blog/Boost document findability with tags in O365"

From DIQA-Homepage
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# Create a term for each document type that you keep in your document library, e.g. inquiry, invoice, sales order, resume
 
# Create a term for each document type that you keep in your document library, e.g. inquiry, invoice, sales order, resume
 
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<big>You have now prepared everything required to teach the "Easy Tagging App" about your way to tag. You can now carry on and install the Easy Tagging App and train the "Learn Tags"-predictor.</big>
 
<big>You have now prepared everything required to teach the "Easy Tagging App" about your way to tag. You can now carry on and install the Easy Tagging App and train the "Learn Tags"-predictor.</big>
 
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# Click on the "Easy Tagging" card to initiate the installation.
 
# Click on the "Easy Tagging" card to initiate the installation.
 
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# The configuration page of the app opens in a new tab.  
 
# The configuration page of the app opens in a new tab.  
 
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# Click on the link "Click here to connect to IDAS"
 
# Click on the link "Click here to connect to IDAS"
 
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# The dialog closes and you can setup a predictor.
 
# The dialog closes and you can setup a predictor.
 
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# You can inspect the progress of the training process in the status bar of the predictor.
 
# You can inspect the progress of the training process in the status bar of the predictor.
 
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# Click on "Store changes" to create the new tagger.
 
# Click on "Store changes" to create the new tagger.
 
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# After the tagging has completed you can inspect the tagging log of the tagger (action link "open the tagging log")
 
# After the tagging has completed you can inspect the tagging log of the tagger (action link "open the tagging log")
 
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<big>Now all your documents in the library have been provided with tags, and the search index is being updated in the background. You can now carry on and setup the search page that uses these tags.</big>
 
<big>Now all your documents in the library have been provided with tags, and the search index is being updated in the background. You can now carry on and setup the search page that uses these tags.</big>
 
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# Click on "Create" to create the new seach center.
 
# Click on "Create" to create the new seach center.
 
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# Save the settings.
 
# Save the settings.
 
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# Store the modified page.
 
# Store the modified page.
 
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<big>If the new refiner does not contain values then you have to wait until the Sharepoint online search engine has completed re-indexing your library. If still no values show up then you have to go back to your library settings and click on "re-index library".</big>
 
<big>If the new refiner does not contain values then you have to wait until the Sharepoint online search engine has completed re-indexing your library. If still no values show up then you have to go back to your library settings and click on "re-index library".</big>
 
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Revision as of 10:33, 30 September 2020

Main Page > Der DIQA Blog > Blog/Boost document findability with tags in O365
Blog

O365: Boost document findability with tags (September 1, 2020)


Finding documents in Sharepoint online/Office 365 can be tedious. If you want to restrict your search to certain document types (like: reports, inquiries, CVs, sales orders, invoices) you either end up with too many irrelevant search hits or relevant documents don't show up because they don't include the search term. If you rely on Sharepoint's fulltext search capabilities only, then your users will be frustrated and spend too much time to find the right documents.

You can provide your users with a better search experience if you use search refiners. Users can further refine their search result by clicking on the refiner values, e.g. to retrieve "sales orders" or "invoices", only. Before you are able to create meaningful search refiners, you have to arrange for a couple of pre-requisites which include tagging documents with tags. This guide shows you how to automatically tag documents with their type (e.g. invoice, sales order, cv, inquiry) and how to provide search refiners that contain these document types.

Frustrating search experience without meaningful refiners:

Tagcloud

Entering the search term "order" returns a lot of irrelevant documents (e.g. a CV) and even misses some sales order documents.

Better: filter documents by type, language, etc:

Tagcloud

If you provide search refiners, then the users will be able to precicely filter for all "sales order" documents, for instance.

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