On 1/15/15 4:34 AM, rama44ster wrote:
Hi,
I am using lucene to index documents that have a multivalued text field
named ‘city’.
Each document might have multiple values for this field, like la, los
angeles etc.
Assuming
document d1 contains city = la ; city = los angeles
document d2 contains city = la mirada
document d3 contains city = la quinta
Now when I search for 'la', I would prefer getting d1 as it has the exact
match ie., a match that doesn't have any extra terms than what is in the
query. I read lucene already prefers documents with fewer terms as
DefaultSimilarity.computeNorm does
return state.getBoost() * ((float) (1.0 / Math.sqrt(numTerms)));
The problem I have is, I am not sure how numTerms is calculated for a
multivalued field like city. Here would numTerms for d1 be 1 or 3? Would
the numTerms be the sum of all the numTerms for each field value?
Any idea on how to make the document d1 rank higher than d2 and d3?
Thanks in advance,
Prasad.
One thing we have done to prefer "exact" matches is to index magic
anchoring terms at the start/finish of every field and then use phrase
queries to boost exact matches. EG you would index
document 1 city = __anchor__ la __anchor__ ; city = __anchor__ los
angeles __anchor__
then you can query for:
la "__anchor__ la __anchor__"^2
this won't do the same thing you asked for, but it might be what you want?
-Mike
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