Sure, in Solr you can specify start/rows parameters on queries like:
&start=0&rows=1
&start=1&rows=1
&start=2&rows=1
You'll hit the "deep paging" problem, however. Briefly as you page deeper and
deeper you're response time will drop, see:
https://issues.apache.org/jira/browse/S
Ah, I see. More complicated than I realized. How about using two
sorts of documents.
Type 1, one lucene doc for your example
textid: 1234
text: some text about something
Type 2, 3 lucene docs for your example
First
textid: 1234
company: IBM
score: 0.6
Second
textid: 1234
company:
You can use a CustomScoreQuery wrapping your scored query to multiply the
"confidence level" (as a DocValues field in Lucene trunk, or an indexed
NumericField with precisionStep=Integer.MAX_VALUE using FieldCache) into the
score.
-
Uwe Schindler
H.-H.-Meier-Allee 63, D-28213 Bremen
http://www.
Hi Ian,
Thanks for the reply. I am not sure if the bq solution will b able to solve
the problem. Let me explain with an example -
document 1 - (some text)
IBM - 0.6
Google - 0.1
Apple - 0.4
Now suppose I index the document based on the "company name" and
"confidence scores" separately and search
Why do you want to link name and confidence in one field? Store
confidence as a NumericField and search something like
BooleanQuery bq = new BooleanQuery();
Query nameq = parser.parse(...) or whatever
Query confq = NumericRangeQuery.newXxx(...);
bq.add(nameq, ...);
bq,add(confq, ...);
and search
Hi Group,
Sorry for cross posting!
We need to index a document corpus (news articles) with some meta data
features. The meta data are actually company names with some scoring (a
double, between 0 to 1). For example, two documents can be -
document 1
(some text - say a technical article from NY t
I'm new to lucene and have searched the archives and FAQ for an answer on
how to do something and have found no information.
Our server is running SOLR and is running out of memory when returning
large result sets.
I was curious if anyone there would know how to break up a query so that
retur
