Interesting idea! Kind of "cheating" because the word frequency in the
whole index is simply mapped to the search results, which is arguable.
But maybe in practice it could work just fine, since nobody really cares
about the counts anyway.
When users click the tag cloud, did anyone really have cared about the
frequency in the search results?
DBSight uses the multi-valued facet search approach to do tag cloud.
Maybe I can "cheat" it this way also... It does save some memory.
--
Chris Lu
-------------------------
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
DBSight customer, a shopping comparison site, (anonymous per request) got 2.6
Million Euro funding!
Jake Mannix wrote:
Well you can do it as a facet search, but in addition to doing multi-valued
faceting, you can also normalize the counts by dividing by the docFreq of
the term, which instead of getting you the most popular tags which overlap
your query, you get the tags which are more popular for documents matching
your query relative to how popular those tags are in general, which is a way
of getting the tags "related to" your query. This can be done pretty easily
within bobo (I just whipped up the code to do this while eating dinner just
now, in fact, let me know if you want to try out that way of doing it, and I
can walk you through the bobo code you'd need to write for this), and it's
probably not too hard to do in Solr either.
How big your index is (and how many tags per document there are, and how
many unique tags there are) will have a big impact on how performant this
query is, of course, but in my experience as long as this is a typical tag
case (with only a handful of values per document), this can be done not much
slower than your original query.
-jake
On Thu, Nov 5, 2009 at 7:01 PM, Chris Lu <chris...@gmail.com> wrote:
Isn't the tag cloud just another facet search? Only difference is the tag
is multi-valued.
Basically just go through the search results and find all unique tag
values.
--
Chris Lu
-------------------------
Instant Scalable Full-Text Search On Any Database/Application
site: http://www.dbsight.net
demo: http://search.dbsight.com
Lucene Database Search in 3 minutes:
http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes
DBSight customer, a shopping comparison site, (anonymous per request) got
2.6 Million Euro funding!
Mathias Bank wrote:
Hi,
I want to calculate a tag cload for search results. I have seen, that
it is possible to extract the top 20 words out of the lucene index. Is
there also a possibility to extract the top 20 words out of search
results (or filter results) in lucene?
Mathias
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