Use a bf of 10 * RANK. That will give the same ordering as dividing the score by 10 and adding RANK.
There are problems with additive boosts, so I strongly recommend looking at the “boost” parameter, which is a multiplicative boost. That is more stable over a wide range of score values. wunder Walter Underwood wun...@wunderwood.org http://observer.wunderwood.org/ (my blog) > On Oct 25, 2018, at 11:11 AM, Amjad Khan <amjad2...@gmail.com> wrote: > > We use ranking below 100 and yes it is float. > >> On Oct 25, 2018, at 1:08 PM, David Hastings <hastings.recurs...@gmail.com> >> wrote: >> >> is this RANK value stored as a float/integer? and whats the range? one >> idea is you could use edismax and have a really possible long boost query: >> RANK:[1 TO 2]^10 OR RANK:[3 TO 4]^9 >> but this isnt actually a great idea and gets sloppy fast. you could apply >> boost at index time, or a function query at query time, both represented >> here: >> https://wiki.apache.org/solr/SolrRelevancyFAQ#How_can_I_increase_the_score_for_specific_documents >> >> >> >> On Thu, Oct 25, 2018 at 11:58 AM Amjad Khan <amjad2...@gmail.com> wrote: >> >>> Hi >>> >>> Is there a way to achieve the following - >>> >>> We have a RANK field in each document, and essentially, I would like my >>> score to be influenced by this RANK as follows - >>> >>> score = score*0.1 + RANK >>> >>> How can I achieve this with function queries? >>> >>> Thanks! >
