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As with locality and verbatimLocality, there is often overlap in the content of higherGeography and the administrative geography fields. The former is often constructed from the latter using one pattern or another. For cases where higherGeography carries no information not found in the rest, ignoring highergeography could be a source of better matching.
There are 1,395,258 distinct highergeography values in gazetteer.locations_distinct_with_scores. Only 46,776 distinct highergeography records have nothing in the other geography fields.
What would be useful here is to ignore highergeography in matching strings when everything in the highergeography is in the geography fields.
The text was updated successfully, but these errors were encountered:
As with locality and verbatimLocality, there is often overlap in the content of higherGeography and the administrative geography fields. The former is often constructed from the latter using one pattern or another. For cases where higherGeography carries no information not found in the rest, ignoring highergeography could be a source of better matching.
There are 1,395,258 distinct highergeography values in gazetteer.locations_distinct_with_scores. Only 46,776 distinct highergeography records have nothing in the other geography fields.
What would be useful here is to ignore highergeography in matching strings when everything in the highergeography is in the geography fields.
The text was updated successfully, but these errors were encountered: