: With your solution, RECORD 1 does appear at the top but I think thats just : blind luck more than anything else because RECORD 3 shows as having the same : score. So what more can I do to push RECORD 1 up to the top. Ideally, I'd : like all three records returned with RECORD 1 being the first listing.
with omitNorms RECORD1 and RECORD3 have the same score because only the tf() matters, and both docs contain the term "frank" exactly twice. the reason RECORD1 isn't scoring higher even though it contains (as you put it "matchings 'Fred' exactly" is that from a term perspective, RECORD1 doesn't actually match "myname:Fred" exactly, because there are in fact other terms in that field because it's multivalued. one way to indicate that you (only* want documents where entire field values to match your input (ie: RECORD1 but no other records) would be to use a StrField instead of a TextField or an analyzer that doesn't split up tokens (lie: something using KeywordTokenizer). that way a query on myname:Frank would not match a document where you had indexed the value "Frank Stalone" by a query for myname:"Frank Stalone" would. in your case, you don't want *only* the exact field value matches, but you want them boosted, so you could do something like copyField "myname" into "myname_str" and then do... q=+myname:Frank myname_str:"Frank"^100 ...in which case a match on "myname" is required, but a match on "myname_str" will greatly increase the score. dismax (and edismax) are really designed for situations like this... defType=dismax & qf=myname & pf=myname_str^100 & q=Frank -Hoss
