Scoring isn't that simple, but don't ask me details <G>.. This link might be useful:
http://lucene.apache.org/java/docs/scoring.html Erick On Dec 6, 2007 2:15 PM, Phillip Farber <[EMAIL PROTECTED]> wrote: > Hello Hoss, > > I appreciate your detailed response. I think I like your second > alternative because I'd like to score whole books rather than pages in > books. It seems to me that the more words one has to work with in a > "document" the better the scoring would be for the entire book. > > Here's a question. Am I correct that (1) book "documents" where the > terms appear farther apart than 10,000 words would not be returned in > the result or (2) they would be in the result but scored lower than all > the books where the terms were within 10,000 chars? > > Thanks, > > Phil > > > > Chris Hostetter wrote: > > : that must appear together on a page. I have a multiValued TextField > called > > : "page" in a document with uniqueId called "id" that represents a OCR'd > book. > > : My default operator is AND. My default field is "page". My query is: > > : > > : q=adhesion+ring&fl=id,score&fq=id:(1+44)&version=2.2 > > : > > : But this doesn't work. I get documents that contain "adhesion" on any > page > > : and "ring" on any page even thought adhesion and ring do not appear > together > > : in any single page field. > > > > one option to consider is changing the granularity of your "documents" > so > > that each "page" is indexed as a seperate document ... this is > > particulararly handy if your ultimate goal is to tell people "the words > > you searched for were all found on *this* page of *this* document. > > > > Alternately: take a look at the comments about "positionIncrementGap" in > > the example schema. by setting that to some value bigger then the > number > > of words you expect to ever be on the same page, you can then do > > "proxmity" queries where you look for the words closer together then > that > > gap size... > > > > q="adhesion+ring"~10000&fl=id,score&fq=id:(1+44)&version=2.2 > > > > this will let you tell people "the words you searched for were all found > > on *a* page of *this* document" > > > > > > -Hoss > > >
