Hi Jake,

Many thanks for your quick reply.

I shall check these out.



Date: Sun, 22 Nov 2009 09:20:24 -0800
Subject: Re: Top field count scoring across documents
From: jake.mannix@gmail.com
To: java-user@lucene.apache.org


You want to do a facet query. This kind of functionality is not in
Lucene-core (sadly), but both Solr (the fully featured search application
built on Lucene) and bobo-browse (just a library, like Lucene itself) are
open-source and work with Lucene to provide faceting capabilities for you.

On Sun, Nov 22, 2009 at 8:42 AM, Peter 4U wrote:

Hello Lucene Experts,

I wonder if someone might be able to shed some insight on this interesting
scoring question:

The problem:
Build a search query that will return [ordered] hits by the top number of
occurences of field values across matched documents (or as close to this as
The built-in scoring is great for scoring number of hits within a document,
but is there an efficient way to do this across the same field in a set of
matched documents? (maybe scoring isn't the best way?)

Let's say you have an index containing book information. Each document has
a 'title' field.
Let's say the index contains 100 entries, with:
65 'title's containing the word 'tiger'
21 containing 'lion'
6 containing 'panther'
5 containing 'kitten'
3 containing 'slug'

What would be the best way to build a query such that returned documents
are ordered in this way:
Rank Value Occurences
1 tiger 65
2 lion 21
3 panther 6
4 kitten 5
5 slug 3

I can, of course, build a standard query, traverse the returned documents
and build such a list, but if the returned query had many 100,000's of hits,
the performance would degrade linearly, particularly if only the 'Top 5' are
actually required.

One idea is to maintain a separate index with this information - the main
problem with this is that you essentially need to know what you're searching
for at index-time, which isn't ideal.

Has anyone come across and solved this particular issue using Lucene?

Many thanks,

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groupjava-user @
postedNov 22, '09 at 4:43p
activeNov 22, '09 at 5:45p

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Peter 4U: 2 posts Jake Mannix: 1 post



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