I am definitely interested in trying your Similarity class. Can you please post the patch in jira?
thanks -Simon Sean Timm wrote: > > In the example below, Doc1, and Doc2 will all have the same score for > the query "chevrolet tahoe." We would prefer Doc2 to score higher than > Doc1. The score length norm for each is also 0.5f. I presume which one > appears first now falls to the order they were placed in the index? By > using our score length norm function, Doc2's score will be multiplied by > 1.0f and Doc1 by 0.875f resulting in the desired behavior. > > Doc1: Chevrolet Tahoe Hybrid 2008 > Doc2: Chevrolet Tahoe 2008 > > -Sean > > Mark Miller wrote: >> Sean Timm wrote: >>> To solve this, we wrote our own Similarity class which extends >>> DefaultSimilarity and maps numTerms 1-10 to precalculated values >>> between 1.5f and 0.3125f. For numTerms >10, we use the standard >>> formula above. If anyone else is interested in this, I can post the >>> code as a patch in Jira. >>> >> Does this actually have a good measurable affect for you? Wouldn't it >> make more sense to just turn off norms for short fields? > > -- View this message in context: http://www.nabble.com/How-to-boost-the-score-higher-in-case-user-query-matches-entire-field-value-than-just-some-words-within-a-field-tp19079221p19094822.html Sent from the Solr - User mailing list archive at Nabble.com.
