: I know I am getting very close on this one but can't seem to get the score : above .306. My guess is that I need to do something different in my
1) you didn't setOmitNorms(true) 2) why do you care what the score is? .. you said you only wanted exact matches: if you don't tokenize, and you build your queries explicitly (all MUST or MUST_NOT, no sloppy phrases, etc..) the matches you get will only be exact matches. 3) if you really care about the numeric score values, don't use Hits, those scores are "psuedo-normalized" 4) the Searcher.explain method can be used to understand why you are getting a particular score value. most likely you can get a score of "1.0" by subclassing Similarity in a creative way, but see point#2. : > 1) Use only UN_TOKENIZED fields when adding your documents, and if you : > use QueryParser to build your queries for you, use the KeywordAnalyzer to : > make sure no lowercasing or stemming takes place. : > 2) OMIT_NORMs when indexing .. they only matter if you want the lengths : > of fields to affect the score, and you don't -- you only want to know if : > it matched or not. : > 3) if you want to require name="jeff" and age="33" make sure you : > construct a query where all clauses are mandatory .. the default in the : > query parser is "SHOULD" meaning only one clause is mandatory, and the : > other clauses increase the score. -Hoss --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
