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Relevance: analyze stemming behavior #725

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anarchivist opened this issue Sep 5, 2019 · 1 comment · Fixed by #855
Closed

Relevance: analyze stemming behavior #725

anarchivist opened this issue Sep 5, 2019 · 1 comment · Fixed by #855
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On the 2019-09-04 PO call, we talked about matches (involving names) where names that appeared in e.g. a title were ranked lower than than those containing a stemmed form of the query. For example, the name Eugene is presumably getting stemmed to eugen, which also matches eugenics.

  • What are our options for adjusting this?
  • Are there specific fields that do not benefit from stemming?
This was referenced Sep 5, 2019
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@cbeer cbeer self-assigned this Sep 19, 2019
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cbeer commented Sep 19, 2019

KeywordRepeatFilterFactory may be sufficient in many cases to address stemmed vs unstemmed relevancy.

cbeer added a commit that referenced this issue Sep 19, 2019
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Improve the text and text_en analyzers by applying ICU folding rules,…
3c2a5f8 
… preserving incoming keywords for better exact matching, etc; fixes #725
@cbeer cbeer mentioned this issue Sep 19, 2019
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Improve search relevancy rankings for text and identifiers projectblacklight/arclight
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