it depends on your goal. index time field boosts are a way to express things like "this documents title is worth twice as much as the title of most documents" query time boosts are a way to express "i care about matches on this clause of my query twice as much as i do about matches to other clauses of my query.
Assuming I want to boost the fields with the same value for all documents, can this be replaced by query-time boosting.
: 2. When searching through the archive I had read a post by you, saying : its possible to give exact matches much higher weightage by indexing : the START & END : from : http://www.nabble.com/What-are-norms--tf1919250.html#a5335856 the context was that even if you turn off field norms you can still some score benefits/restrictions of matches on shorter fields vs longer fields by indexing marker tokens (things you wouldn't expect to be regular tokens; i used START and END just for convinience) at the begining and ending of hte field, and then including them in your phrase or span near query with lots of slop ... so a values like...
Cool, that was a good solution. I, though, am storing the norms & yet do not get exact matches ranking higher than others. I do change "user query" to "user query"^PHRASE_BOOST user query this helps to some level, but my problem comes from the fact that given a user query, i dont know which field to search in & hence construct a boolean query that searches in all fields. The issue with this is, that an exact match in field A ends up ranking lower than a broader match in field A of another doc which also matches partially with field B Are there any easy solutions that have been used before ? eg. Britney spears -> "Britney spear"^N britney spears will match : doc1 - A:"BritneySpears, and other celebrities" B:William Spears doc2 A: "Britney Spears" the problem is aggravated by the fact that a query for "spears william" should get me doc1 (that is is should actually query & score based on all fields). The only good solution I can think of is - giving very very high weightage to the phrase, but even that did not seem to work. Another possible idea - make length norm play a greater role in the score (use length norm ^ 2 ? ) . What else can I try ? Thanks a lot for the responses Chris, mek. --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
