22 mar 2007 kl. 10.42 skrev Matt Chaput:
Per Term Position (prox) data vs. Per Doc Term Vectors. Belt and Suspenders? Can't Term Vectors effectively (performantly) replace position data for doing phrase matches? Is there another use of position data that term vectors doesn't satisfy? Does each have pros and cons? Or if you were implementing Lucene from scratch, would you just implement term vectors and forget positions?
Term posisitions are stored next to the term because that is where the context cursor is located when placing queries (inversed index access). The term vectos is the oppsite thing, accessing the positions based on a document (vector space model). So to answer you question, as Lucene is an inverted index, term positions can not be replaced by term vectors to get the same or better performace at query time. The term vector is (as I see it) a cached vector space model.
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