Pradeep,
First, some background on fuzzy term expansions:
1) A query for foobar~2 is really a query for (foobar OR foobar~1 OR
foobar~2)
2) Fuzzy term expansion will only take the first 50 terms found in the
index and drop the rest.
For implementation notes, see this comment -
https://github.com
Corrected Typo mistake.
Hi Team,
We have 8 text fields (*_txt_en) in schema and one multi valued text field
which is copy field of other text fields, like below.
tittle_txt_en, configuration_summary_txt_en, all_text_txt_ens (multi value
field)
Observed one issue with Fuzzy match, same term with
Hi Walter,
It's type, actual input term was "probl" sorry for the typo.
Thanks,
Pradeep
On Mon, Apr 13, 2020 at 3:46 PM Walter Underwood
wrote:
> You need to add three letters to “prob” to get “problem”, so it is edit
> distance 3.
> Fuzzy only works to distance 2.
>
> If you want to match pre
You need to add three letters to “prob” to get “problem”, so it is edit
distance 3.
Fuzzy only works to distance 2.
If you want to match prefixes, edge n-grams are a better approach.
wunder
Walter Underwood
wun...@wunderwood.org
http://observer.wunderwood.org/ (my blog)
> On Apr 13, 2020, at 2
Hi Team,
We have 8 text fields (*_txt_en) in schema and one multi valued text field
which is copy field of other text fields, like below.
tittle_txt_en, configuration_summary_txt_en, all_text_txt_ens (multi value
field)
Observed one issue with Fuzzy match, same term with distance of two(~2) is
w
