At least it doesn't give the same score for a doc which doesn't have all the terms which I think at one point you claimed.
So to try and simplify this, you've got one field called content and doc1: pqrst uvwx abcd doc2: abcd pqrst uvwx and the query "abcd^10.0 content:pqrst^5.0" gives the same score for doc1 and doc2. That is to be expected since both docs are the same length and both contain both search terms. As I said before, if you want the order of matched terms to matter, see PhraseQuery or SpanQuery. Or store positional info in a Payload and factor that in somehow. Powerful but complicated. See http://www.lucidimagination.com/blog/2010/04/18/refresh-getting-started-with-payloads/ for an example. I can't think of another way to make, in your case, abcd score higher if is first rather than third term in the doc. I'd try a SpanQuery with some reasonable slop value and add it as an optional clause to your query, possibly with a boost. -- Ian. On Sat, Feb 4, 2012 at 10:11 AM, A Z <4azfri...@gmail.com> wrote: > hi lan, > > sorry for late reply , > > it is simple search with default similarity only, > here it gives same score for doc which has both token that is abcd pqrst, > there is no more weight for doc which has predence of abcd in document . > > here is output with score and searcher.explain > > > Query content:abcd^10.0 content:pqrst^5.0 > > *title ->pqrst uvwx abcd ::: content -> pqrst uvwx abcd::: Score ->0.6175326 > * > > Searcher.explain -> 0.6175326 = (MATCH) sum of: > > 0.46281427 = (MATCH) weight(content:abcd^10.0 in 0), product of: > > 0.92562854 = queryWeight(content:abcd^10.0), product of: > > 10.0 = boost > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.092562854 = queryNorm > > 0.5 = (MATCH) fieldWeight(content:abcd in 0), product of: > > 1.0 = tf(termFreq(content:abcd)=1) > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=0) > > 0.15471835 = (MATCH) weight(content:pqrst^5.0 in 0), product of: > > 0.37843326 = queryWeight(content:pqrst^5.0), product of: > > 5.0 = boost > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.092562854 = queryNorm > > 0.40883923 = (MATCH) fieldWeight(content:pqrst in 0), product of: > > 1.0 = tf(termFreq(content:pqrst)=1) > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=0) > > *title ->abcd pqrst uvwx ::: content -> abcd pqrst uvwx::: Score ->0.6175326 > * > > Searcher.explain -> 0.6175326 = (MATCH) sum of: > > 0.46281427 = (MATCH) weight(content:abcd^10.0 in 1), product of: > > 0.92562854 = queryWeight(content:abcd^10.0), product of: > > 10.0 = boost > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.092562854 = queryNorm > > 0.5 = (MATCH) fieldWeight(content:abcd in 1), product of: > > 1.0 = tf(termFreq(content:abcd)=1) > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=1) > > 0.15471835 = (MATCH) weight(content:pqrst^5.0 in 1), product of: > > 0.37843326 = queryWeight(content:pqrst^5.0), product of: > > 5.0 = boost > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.092562854 = queryNorm > > 0.40883923 = (MATCH) fieldWeight(content:pqrst in 1), product of: > > 1.0 = tf(termFreq(content:pqrst)=1) > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=1) > > *title ->pqrst uvwx lmn abcd ::: content -> pqrst uvwx lmn abcd::: Score > ->0.6175326* > > Searcher.explain -> 0.6175326 = (MATCH) sum of: > > 0.46281427 = (MATCH) weight(content:abcd^10.0 in 3), product of: > > 0.92562854 = queryWeight(content:abcd^10.0), product of: > > 10.0 = boost > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.092562854 = queryNorm > > 0.5 = (MATCH) fieldWeight(content:abcd in 3), product of: > > 1.0 = tf(termFreq(content:abcd)=1) > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=3) > > 0.15471835 = (MATCH) weight(content:pqrst^5.0 in 3), product of: > > 0.37843326 = queryWeight(content:pqrst^5.0), product of: > > 5.0 = boost > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.092562854 = queryNorm > > 0.40883923 = (MATCH) fieldWeight(content:pqrst in 3), product of: > > 1.0 = tf(termFreq(content:pqrst)=1) > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=3) > > *title ->pqrst abcd uvwx lmn ::: content -> pqrst abcd uvwx lmn::: Score > ->0.6175326* > > Searcher.explain -> 0.6175326 = (MATCH) sum of: > > 0.46281427 = (MATCH) weight(content:abcd^10.0 in 4), product of: > > 0.92562854 = queryWeight(content:abcd^10.0), product of: > > 10.0 = boost > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.092562854 = queryNorm > > 0.5 = (MATCH) fieldWeight(content:abcd in 4), product of: > > 1.0 = tf(termFreq(content:abcd)=1) > > 1.0 = idf(docFreq=4, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=4) > > 0.15471835 = (MATCH) weight(content:pqrst^5.0 in 4), product of: > > 0.37843326 = queryWeight(content:pqrst^5.0), product of: > > 5.0 = boost > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.092562854 = queryNorm > > 0.40883923 = (MATCH) fieldWeight(content:pqrst in 4), product of: > > 1.0 = tf(termFreq(content:pqrst)=1) > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=4) > > *title ->pqrst uvwx lmn ::: content -> pqrst uvwx lmn::: Score ->0.07735918* > > Searcher.explain -> 0.07735918 = (MATCH) product of: > > 0.15471835 = (MATCH) sum of: > > 0.15471835 = (MATCH) weight(content:pqrst^5.0 in 2), product of: > > 0.37843326 = queryWeight(content:pqrst^5.0), product of: > > 5.0 = boost > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.092562854 = queryNorm > > 0.40883923 = (MATCH) fieldWeight(content:pqrst in 2), product of: > > 1.0 = tf(termFreq(content:pqrst)=1) > > 0.81767845 = idf(docFreq=5, maxDocs=5) > > 0.5 = fieldNorm(field=content, doc=2) > > 0.5 = coord(1/2) > > > On Mon, Jan 30, 2012 at 2:59 PM, Ian Lea <ian....@gmail.com> wrote: > >> They all give exactly the same score, even the 3rd doc which doesn't >> contain abcd at all? Surprising. What does searcher.explain() say? >> Is this a simple search with default Similarity or is there stuff >> you're not telling us? >> >> -- >> Ian. >> >> >> On Sat, Jan 28, 2012 at 4:44 AM, A Z <4azfri...@gmail.com> wrote: >> > Hi lan >> > >> > thanks for your reply. >> > >> > when i boosting each term while searching like abcd is boost with boost >> > factor of 10 and pqrst boost with boost factor of 5. >> > then also it gives same score for documents >> > >> > *Query content:abcd^10.0 content:pqrst^5.0* >> > >> > >> > title ->pqrst uvwx abcd ::: content -> pqrst uvwx abcd::: Score >> ->0.40883923 >> > >> > title ->abcd pqrst uvwx ::: content -> abcd pqrst uvwx::: Score >> ->0.40883923 >> > >> > title ->pqrst uvwx lmn ::: content -> pqrst uvwx lmn::: Score >> ->0.40883923 >> > >> > title ->pqrst uvwx lmn abcd ::: content -> pqrst uvwx lmn abcd::: Score >> > ->0.40883923 >> > >> > title ->pqrst abcd uvwx lmn ::: content -> pqrst abcd uvwx lmn::: Score >> > ->0.40883923 >> > Thanks >> > >> > On Wed, Jan 25, 2012 at 8:38 PM, Ian Lea <ian....@gmail.com> wrote: >> > >> >> If you want particular search terms to be more important than others >> >> you can use boosting. See >> >> http://lucene.apache.org/java/3_5_0/queryparsersyntax.html#Boosting a >> >> Term >> >> >> >> If you want the order of matched terms to matter, see PhraseQuery or >> >> SpanQuery. The latter is more flexible. See >> >> http://www.lucidimagination.com/blog/2009/07/18/the-spanquery/ for a >> >> good writeup. >> >> >> >> And you can of course use combinations of everything. >> >> >> >> >> >> -- >> >> Ian. >> >> >> >> >> >> >> >> On Tue, Jan 24, 2012 at 5:08 PM, A Z <4azfri...@gmail.com> wrote: >> >> > Hi >> >> > >> >> > >> >> > >> >> > how can we assign custom score for each token/word. >> >> > >> >> > >> >> > >> >> > For Ex >> >> > >> >> > I have document >> >> > >> >> > >> >> > >> >> > 1 pqrst uvwx abcd >> >> > >> >> > 2 abcd pqrst uvwx >> >> > >> >> > 3 pqrst uvwx lmn >> >> > >> >> > 4 pqrst uvwx lmn abcd >> >> > >> >> > 5 pqrst abcd uvwx lmn >> >> > >> >> > >> >> > >> >> > *Now i m searching data ---> abcd pqrst* >> >> > >> >> > So it should give more weightage score to 2nd document then 1st >> document >> >> > >> >> > >> >> > >> >> > So i want is >> >> > >> >> > *document 1 :---* *pqrst *has more *weight * then *uvwx *word and >> >> *then >> >> > abcd *word >> >> > >> >> > *document 2* *:---* *abcd *has more *weight * then *pqrst* word >> >> > and *then uvwx >> >> > *word >> >> >> >> --------------------------------------------------------------------- >> >> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org >> >> For additional commands, e-mail: java-user-h...@lucene.apache.org >> >> >> >> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org >> For additional commands, e-mail: java-user-h...@lucene.apache.org >> >> --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
