Andrzej,
I have been trying to solve a similar problem where I need to boost
score based on the document type. Your approach is very interesting
and I want to give it a try.
I have a implementation specific question. When you mention to put as
many 1 as the boost need to be, do you mean that
I am trying to use Lucene nightly build lucene-2006-12-22.tar.gz.
When my code tries to execute:
IndexSearcher searcher = new IndexSearcher(/home/lucene/index);
I am receiving the following error:
java.lang.NoClassDefFoundError: com_cenqua_clover/g
java.lang.NoClassDefFoundError:
Here are the values:
mergeFactor=10
maxMergeDocs=10
minMergeDocs=100
And I see your point. At the time of the crash, I have over 5000
segments. I'll try some conservative number and try to rebuild the
index.
On 11/27/06, Yonik Seeley [EMAIL PROTECTED] wrote:
On 11/27/06, Suman Ghosh
Yonik,
Thanks for the pointer. I'll try the nightly build once the change is committed.
Suman
On 11/27/06, Yonik Seeley [EMAIL PROTECTED] wrote:
On 11/27/06, Suman Ghosh [EMAIL PROTECTED] wrote:
Here are the values:
mergeFactor=10
maxMergeDocs=10
minMergeDocs=100
And I see your
point to mistakes I'm making in the logic.
Suman
On 11/27/06, Michael McCandless [EMAIL PROTECTED] wrote:
Suman Ghosh wrote:
On 11/27/06, Yonik Seeley [EMAIL PROTECTED] wrote:
On 11/27/06, Suman Ghosh [EMAIL PROTECTED] wrote:
Here are the values:
mergeFactor=10
maxMergeDocs=10
Hi all,I am evaluating Lucene
1.9 for a search application. I am using MultiFieldQueryParser for searching across fields and everything works fine. However, we have a new requirement where certain fields need to be boosted while searching. To complicate matters, users can specify fields while