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Normalising facet-search at the /aviser/query/facet-endpoint #12

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maxodsbjerg opened this issue Apr 19, 2021 · 0 comments
Open

Normalising facet-search at the /aviser/query/facet-endpoint #12

maxodsbjerg opened this issue Apr 19, 2021 · 0 comments
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enhancement New feature or request

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@maxodsbjerg
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maxodsbjerg commented Apr 19, 2021 •
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When doing facet searches it would be helpfull to have normalised results as well as the count of articles.
Eg the following facet search:

Q: folkestyre
Facet: lplace

Response:

"lplace","count"
"København",10
"Århus",9
"Aalborg",7
"Hjørring",7
"Horsens",6
"Næstved",4
"Nykøbing Falster",3
"Ringsted",3
"Rønne",3
"Vejle",2

Ideally the csv-structure would be something like:
"lplace", "count", "percentage"

Possible pitfall

Imagine the following query:
folkestyre AND py:[1849 TO 1880]
In this case the value used for normalising should only be the total amount of articles between 1849 and 1880. Is it possible to handle this?
@maxodsbjerg maxodsbjerg added the enhancement New feature or request label Apr 19, 2021
@maxodsbjerg maxodsbjerg changed the title Normalising facet-search Normalising facet-search at the /aviser/query/facet-endpoint Apr 19, 2021
@maxodsbjerg maxodsbjerg mentioned this issue Apr 19, 2021
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@maxodsbjerg