Hi,
I know this is probably a common question and I've found a couple of posts
about it in the archive but none with a complete answer. If there is one
please point me to it!
The question is that I want to discard the default scoring and implement my
own. I want all the the hits to be sorted
You need your own Similarity implementation and you need to set it as
shown in this javadoc:
http://jakarta.apache.org/lucene/docs/api/org/apache/lucene/search/Similarity.html
Otis
--- [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
Hi,
I know this is probably a common question and I've found a
Yes thanks,
I implemented my own Similarity class that returns 1.0f from lengthNorm()
and idf() then I use setBoost when writing the document. However I get some
small round errors. When I boost with 0.7 that document gets the score
0.625. I've found that this has to do with the encode/decode norm
Actually what William should use is the new Sort facility to order
results by a field. Doing this with a Similarity would be much
trickier. Look at the IndexSearcher.sort() methods which take a Sort
and follow the Javadocs from there. Let us know if you have any
questions on sorting.
Thanks for the reply,
I've looked in to the search method that takes a Sort object as argument.
As I understand it the sorting is only done on the best matches (100 by
default)? I don't want the default score to have any impact at all. I want
to sort all hits on popularity not just the best
Sorting is done however you specify, by field, with secondary fields
specified, by document id, by score/relevance, or even by a custom
implementation to sort by something else (in Lucene in Action we
provide an implementation that sorts by two-dimensional distance from a
given location,
