On Fri, Nov 6, 2009 at 12:25 AM, Mathias Bank wrote:
> Well, it could be a facet search, if there would be tags available but
> if you just wanna have a "tag cloud" generated by full-text, I don't
> see how a facet search could help to generate this cloud.
> Unfortunatelly, I don't have tags in my
Well, it could be a facet search, if there would be tags available but
if you just wanna have a "tag cloud" generated by full-text, I don't
see how a facet search could help to generate this cloud.
Unfortunatelly, I don't have tags in my data. What I need is the
information, what are the most used
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
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
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.ne
