Morning Doug, it sounds like you can encode norm as the number of term positions in the title (assuming it's single value). When you search, SpanQuery can access particular positions of the matched terms, and then compare them to the number of terms decoded from the norm. It's sounds more like hack for solving particular problem, and I'm in doubts regarding providing it as a general functionality.
On Fri, Nov 22, 2013 at 11:54 PM, Doug Turnbull < dturnb...@opensourceconnections.com> wrote: > Instead of specifying a percentage or number of query terms must match > tokens in a field, I'd like to do the opposite -- specify how much of a > field must match a query. > > The problem I'm trying to solve is to boost document titles that closely > match the query string. If a title looks something like > > *Title: *[solr] [the] [worlds] [greatest] [search] [engine] > > I want to be able to specify how much of the field must match the query > string. This differs from normal mm. Normal mm specifies a how much of the > query must match a field. > > As an example, with this title, if I use normal mm=100% and perform the > following query: > > mm=100% > q=solr > > This will match the title above, as 100% of [solr] matches the field > > What I really want to get at is a reverse mm: > > Rmm=100% > q=solr > > The title above will not match in this case. Only 1/6 of the tokens in the > field match the query. > > However an exact search would match: > > Rmm=100% > q=solr the worlds greatest search engine > > Here 100% of the query matches the title, so I'm good. > > Is there any way to achieve this in Solr? > > -- > Doug Turnbull > Search & Big Data Architect > OpenSource Connections <http://o19s.com> > -- Sincerely yours Mikhail Khludnev Principal Engineer, Grid Dynamics <http://www.griddynamics.com> <mkhlud...@griddynamics.com>
