On Sun, Jun 19, 2011 at 5:39 PM, Saurabh Gokhale <saurabhgokh...@gmail.com> wrote: > Yes, it makes sense. So in the case of No_Norm I suppose, all the fields > small or large, are treated the same instead of as per their sizes and > implicit boost factor.
well yes they will use TF / IDF for scoring additional length normalization and boost are omitted simomn > > Thanks for the explanation > > Saurabh > > On Sun, Jun 19, 2011 at 9:26 AM, Simon Willnauer < > simon.willna...@googlemail.com> wrote: > >> if you use norms lucene uses the boost of the fields / document and >> multiplies it with a length normalization factor -> 1.0 / >> Math.sqrt(numTerms) so you scores should be different. Does that >> explain what you are seeing? >> >> Simon >> >> On Sun, Jun 19, 2011 at 7:06 AM, Saurabh Gokhale >> <saurabhgokh...@gmail.com> wrote: >> > Hi All, >> > I have a question regarding index time parameter Index.ANALYZED_NO_NORMS >> > and Index.ANALYZED >> > As per the definition, ANALYZED_NO_NORMS is no different than ANALYZED >> > option except that it does not store norm (boost) information in the >> index. >> > So if I create 2 indexes: 1 with ANALYZED option and another >> > with ANALYZED_NO_NORMS option, for the same indexed document and for the >> > same search query both should bring same result with same matching >> > percentile. >> > But the percentile for the index created using NO_NORM is higher than the >> > one created with NORM. Why is that so? >> > Attached is the java example with 2 indexes created and the same document >> > searched using BooleanQuery. >> > The result indicates that though the matched documents are same, their >> > percentiles differ? can some one pls help me understand norm better? is >> it >> > because in the index with norm, lucene adds some boost for index fields? >> > >> > >> > Result of running the program is: >> > >> -------------------------------------------------------------------------------------------- >> > Adding Doc to NORM Index :: author : author1 >> > --------------------------------------- >> > Adding Doc to NO NORM Index :: author : author1 >> > ======================================= >> > Adding Doc to NORM Index :: author : author2 >> > --------------------------------------- >> > Adding Doc to NO NORM Index :: author : author2 >> > ======================================= >> > Adding Doc to NORM Index :: author : author3 >> > --------------------------------------- >> > Adding Doc to NO NORM Index :: author : author3 >> > ======================================= >> > Adding Doc to NORM Index :: author : author4 >> > --------------------------------------- >> > Adding Doc to NO NORM Index :: author : author4 >> > ======================================= >> > Search for the book with Author: author1 >> > NORM:: WITH NORM Query :: (author:author1) (subject:book subject:first >> > subject:my) -isbn:123 >> > Match: 19.738173% || Doc Author: author2 || Doc subject: My next book >> || >> > Doc ISBN: 333 >> > Match: 6.168179% || Doc Author: author3 || Doc subject: this first text >> || >> > Doc ISBN: 444 >> > Search for the book with Author: author1 >> > NORM:: WITHOUT NORM Query :: (author:author1) (subject:book >> subject:first >> > subject:my) -isbn:123 >> > Match: 39.476345% || Doc Author: author2 || Doc subject: My next book >> || >> > Doc ISBN: 333 >> > Match: 9.869086% || Doc Author: author3 || Doc subject: this first text >> || >> > Doc ISBN: 444 >> > >> > >> > Thanks >> > Saurabh >> > >> > --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
