There isn’t really an “industry standard”, since the reasons someone wants this kind of behavior vary from situation to situation. That said, Solr has RerankQParserPlugin that’s designed for this.
Best, Erick > On Feb 10, 2020, at 4:23 AM, Nitin Arora <nitinaror...@gmail.com> wrote: > > I am looking for an efficient way for setting the MM(minimum should match) > parameter for my solr search queries. As we go from MM=100% to MM=0%, we > move from lots of zero result queries on one hand to too many irrelevant > results (which may then get boosted by other factors) on the other. I can > think of multiple ways to approach this: > 1) Try decreasing mm from 100% to 90% to 80% in a staggered manner till you > have just the right number of results. Does not sound very efficient though. > 2) Use a low value of MM, say 0%, and then pick only the top 200 results to > apply other boost factors to. Would not allow to use bf, bq, boost within > SOLR. > > My question is, What is the standard industry practice in this matter. How > do you go about ensuring that your search returns *just the right* number > of results so that you can use other boost functions on the relevant set of > results. > > Thanks in advance > Nitin
