Sadly, it seems it wasn't been done so far. It's either custom similarity or function query.
On Thu, Nov 6, 2014 at 9:40 AM, Trey Grainger <solrt...@gmail.com> wrote: > Just curious if there are some suggestions here. The use case is fairly > simple: > > Given a query like python OR solr OR hadoop, I want to sort results by > "number of keywords matched" first, and by relevancy separately. > > I can think of ways to do this, but not efficiently. For example, I could > do: > q=python OR solr OR hadoop& > p1=python& > p2=solr& > p3=hadoop& > sort=sum(if(query($p1,0),1,0),if(query($p2,0),1,0),if(query($p3,0),1,0)) > desc, score desc > > Other than the obvious downside that this requires me to pre-parse the > user's query, it's also somewhat inefficient to run the query function once > for each term in the original query since it is re-executing multiple > queries and looping through every document in the index during scoring. > > Ideally, I would be able to do something like the below that could just > pull the count of unique matched terms from the main query (q parameter) > execution:: > q=python OR solr OR hadoop&sort=uniquematchedterms() desc,score desc. > > I don't think anything like this exists, but would love some suggestions if > anyone else has solved this before. > > Thanks, > > -Trey > -- Sincerely yours Mikhail Khludnev Principal Engineer, Grid Dynamics <http://www.griddynamics.com> <mkhlud...@griddynamics.com>
