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:
remen
http://www.thetaphi.de
eMail: u...@thetaphi.de
> -Original Message-
> From: Deb Lucene [mailto:deb.luc...@gmail.com]
> Sent: Wednesday, March 21, 2012 4:48 PM
> To: java-user@lucene.apache.org
> Subject: Re: A key value field storing
>
> Hi Ian,
>
> Thanks f
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
