Another approach for this problem is to use another Solr core for
storing users queries for auto complete functionality ( see
http://www.lucidimagination.com/blog/2009/09/08/auto-suggest-from-popular-queries-using-edgengrams/
) and index not only user_query field, but also transliterated and
diff_l
Pavel,
it depends on size of your documents corpus, complexity and types of
the queries you plan to use etc. I would recommend you to search for
the discussions on synonyms expansion in Lucene (index time vs. query
time tradeoffs etc.) since your problem is quite similar to that
(think Moskva vs.
Alexander,
Thanks,
What variat has better performance?
2010/10/28 Alexander Kanarsky
> Pavel,
>
> I think there is no single way to implement this. Some ideas that
> might be helpful:
>
> 1. Consider adding additional terms while indexing. This assumes
> conversion of Russian text to both "tra
Pavel,
I think there is no single way to implement this. Some ideas that
might be helpful:
1. Consider adding additional terms while indexing. This assumes
conversion of Russian text to both "translit" and "wrong keyboard"
forms and index converted terms along with original terms (i.e. your
Analy
