It¹s worth mentioning that scores should not be considered comparable across queries, so equating ³confidence² and ³score² is a tricky proposition. That is, the maxScore for the search "field1:foo" may be 10.0, and the maxScore for ³field1:bar² may be 1.0, but that doesn¹t mean the top result for ³foo" is ten times better than the top result for ³bar². If might just be that ³foo² and ³bar² have very different frequencies in your data.
You can work around this with a custom Similarity class. You¹d do this by removing most of Solr/Lucene¹s term and document frequency scoring intelligence, so that scoring is almost entirely a factor of which fields matched with which boosts. You could also truncate a given result set based on a percentage of the maxScore for that result set, but even within a single result set, you shouldn¹t assume that 1/3rd the score means 1/3rd the match quality. You¹ll need to find numbers that work for you. On 3/3/14, 7:50 PM, "Susheel Kumar" <susheel.ku...@thedigitalgroup.net> wrote: >Hi, > >We are looking to automate searches (name searches) & filter out the >results based on some scoring confidence. Any suggestions on what >different approaches we can use to pick only top closer matches and >filter out rest of the results. > > >Thanks, >Susheel >
