I don't think this is possible without changing Solr. Or maybe it's possible with a custom Search Component that looks at all hits and checks the "df" (document frequency) for a term in each document? Sounds like a very costly operation...
Otis -- Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch ----- Original Message ---- > From: Alex Shevchenko <caeza...@gmail.com> > To: solr-user@lucene.apache.org > Sent: Wednesday, June 3, 2009 9:57:29 AM > Subject: Re: Keyword Density > > So, is there an ability to perform filtering as I described? > > On Mon, Jun 1, 2009 at 22:24, Alex Shevchenko wrote: > > > But I don't need to sort using this value. I need to cut results, where > > this value (for particular term of query!) not in some range. > > > > > > On Mon, Jun 1, 2009 at 22:20, Walter Underwood wrote: > > > >> That is the normal relevance scoring formula in Solr and Lucene. > >> It is a bit fancier than that, but you don't have to do anything > >> special to get that behavior. > >> > >> Solr also uses the inverse document frequency (rarity) of each > >> word for weighting. > >> > >> Look up "tf.idf" for more info. > >> > >> wunder > >> > >> On 6/1/09 11:46 AM, "Alex Shevchenko" wrote: > >> > >> > Something like that. Just not '> N times' but ' > >> > appears>/> ' > >> > > >> > On Mon, Jun 1, 2009 at 21:00, Otis Gospodnetic > >> > wrote: > >> > > >> >> > >> >> Hi Alex, > >> >> > >> >> Could you please provide an example of this? Are you looking to do > >> >> something like "find all docs that match name:foo and where foo appears > >> > N > >> >> times (in the name field) in the matching document"? > >> >> > >> >> Otis > >> >> -- > >> >> Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch > >> >> > >> >> > >> >> > >> >> ----- Original Message ---- > >> >>> From: Alex Shevchenko > >> >>> To: solr-user@lucene.apache.org > >> >>> Sent: Monday, June 1, 2009 1:32:49 PM > >> >>> Subject: Re: Keyword Density > >> >>> > >> >>> HI All, > >> >>> > >> >>> Is there a way to perform filtering based on keyword density? > >> >>> > >> >>> Thanks > >> >>> > >> >>> -- > >> >>> Alex Shevchenko > >> > >> > >> > > > > > > -- > > Alex Shevchenko > > > > > > -- > Alex Shevchenko
