If you are running in VS 2010, I'd advise saving yourself some trouble and just grabbing the 2.9.2 package off nuget.
On Wed, Feb 16, 2011 at 3:13 PM, Wen Gao <samuel.gao...@gmail.com> wrote: > Thanks you. > > Wen > 2011/2/16 Digy <digyd...@gmail.com> > >> Download the source from >> https://svn.apache.org/repos/asf/incubator/lucene.net/tags/Lucene.Net_2_9_2 >> using a svn client(like TortoiseSVN), and open the project file with >> VS20XX. >> >> DIGY >> >> -----Original Message----- >> From: Wen Gao [mailto:samuel.gao...@gmail.com] >> Sent: Wednesday, February 16, 2011 9:58 PM >> To: lucene-net-...@lucene.apache.org >> Subject: Re: how can I get the similarity in fuzzy query >> >> OK. i get it. how can I recompile a Lucene_src on Windows? >> >> Thanks. >> Wen >> 2011/2/16 Christopher Currens <currens.ch...@gmail.com> >> >> > As far as i know, you'll need to calculate that manually. FuzzyQuery >> > searches don't return any results like that. >> > >> > On Wed, Feb 16, 2011 at 11:47 AM, Wen Gao <samuel.gao...@gmail.com> >> wrote: >> > >> > > Hi, >> > > I think my situation is just to compare the similarity of strings: I >> want >> > > to >> > > calculate the similarity between the typed results and the returned >> > results >> > > using *FuzzyQuery*. I have set the minimumSimilarity of FuzzyQuery as >> > 0.5f, >> > > what i want to do is get the "similariy" instead of "score" for every >> > > result >> > > that returns. >> > > >> > > Thanks for your time. >> > > >> > > Wen >> > > >> > > 2011/2/16 Christopher Currens <currens.ch...@gmail.com> >> > > >> > > > I was going to post the link that Digy posted, which suggests not to >> > > > determine a match that way. If my understanding is correct, the >> scores >> > > > returned for a query are relative to which documents were retrieved >> by >> > > the >> > > > search, in that if a document is deleted from the index, the scores >> > will >> > > > change even though the query did not, because the number of returned >> > > > documents are different. >> > > > >> > > > If the only thing you wanted to do was to calculate how a resulting >> > > string >> > > > was to a search string, I suggest the Levenshtein Distance algorithm >> > > > http://en.wikipedia.org/wiki/Levenshtein_distance...but it doesn't >> > seem >> > > > like >> > > > that's quite what you want to accomplish based on your question. >> > > > >> > > > Christopher >> > > > >> > > > On Wed, Feb 16, 2011 at 10:55 AM, Wen Gao <samuel.gao...@gmail.com> >> > > wrote: >> > > > >> > > > > Hi, >> > > > > I am using FuzzyQuery to get fuzzy mathed results. I want to get >> the >> > > > > similarity in percent for every matched record. >> > > > > for example, if i search for "databasd", and it will return results >> > > such >> > > > as >> > > > > "database", "database1", and "database11". I want to get the >> > similarity >> > > > in >> > > > > percent for evey record, such as 87.5%, 75%, and 62.5%. >> > > > > >> > > > > How can I do this? >> > > > > >> > > > > Any ideas? >> > > > > >> > > > > Wen Gao >> > > > > >> > > > >> > > >> > >> >> >
