Hi Sumit, Here's a good place to start:
http://lucene.apache.org/java/docs/scoring.html Steve On 12/28/2007 at 12:30 PM, sumittyagi wrote: > > also > what is the lucene ranking (scoring documents) formula > > sumittyagi wrote: > > > > hi which file can i edit to change the scoring factors in lucene results > > > > markharw00d wrote: > > > > > > Thanks for the context - much more useful. The challenge here is > > > similar to that posed by offering end-user tagging of content (see here > > > > http://www.mail-archive.com/java-user@lucene.apache.org/msg175 > 80.html ). > > > The main difference here being that words are added to docs implicitly > > > by search click-throughs rather than any explicit tagging action. > > > > > > In both cases the challenge is that the user data around documents is > > > likely to be updated very often while the documents remain relatively > > > static. I suspect some additional things to think about are: 1) > > > Cancelling out the "human laziness" bias that favours clicking results > > > on page 1. Are clicks on page 2 worth more? 2) Spam clicks - detecting > > > deliberate gaming of your re-ranking algorithm. 3) Lucene doc IDs are > > > not stable - how will you associate query terms/click data with > > > documents and join them at speed? 4) Are individual words or phrases > > > the unit of boost? "Paris" means different things in "Paris Hilton" > > > and "Paris, France". > > > > > > A simple approach might be to re-index your content with all of the > > > additional search terms from clicks added to the associated document > > > in a "searchClicks" field - the more clicks, the more repetitions of > > > the same search words in the document to help with tf (Term > > > Frequency). This additional content would need to be capped, to avoid > > > huge documents. This has the disadvantage of requiring a re-index > > > though. Another option to avoid reindexing everything is to wrap > > > IndexReader (See FilterIndexReader) and implement TermEnum/TermDocs > > > for a fake field called "searchClicks". The idea is Lucene looks after > > > the usual, static document content while your implementation goes off > > > to your more volatile storage (e.g. database/parallel index, custom > > > file structure) to retrieve lists of doc ids, term frequencies etc. > > > for this "searchClicks" field. All of the Lucene queries you might > > > want to throw at this e.g. PhraseQueries can then test both the static > > > Lucene fields and your new volatile "click" fields without being aware > > > of this low-level trickery. > > > > > > I'm sure there will be other ways of doing this too but this seems > > > like a conceptually clean way of modelling it - just seeing search > > > terms as extensions to the document content. > > > > > > Cheers > > > Mark > > > > > > > > > ----- Original Message ---- > > > From: sumittyagi <[EMAIL PROTECTED]> > > > To: java-user@lucene.apache.org > > > Sent: Sunday, 23 December, 2007 5:30:55 AM > > > Subject: Re: Which file in the lucene package is used to manipulate > > > results.. > > > > > > > > > Actually what i have to do is... > > > 1.) for every query(keyword), among the results obtained, > the keyword > > > will > > > be mapped with the page clicked, along with the no. of clicks for that > > > keyword on that page 2.) next time for the same query(keyword), the > > > mapped pages will be > > > ranked > > > higher considering the no. of clicks too.. > > > 3.) for every new query these steps will be repeated... > > > this was a very high level view , i have made algorithms for these > > > modules > > > and trying to incorporate with lucene but dont know , on > which files i > > > have > > > to do edition to make it work... > > > please help me regarding this, if you need some more explanation, > > > please let > > > me know... > > > thanks > > > Sumit Tyagi > > > > > > > > > > > > > > > > > > Erick Erickson wrote: > > > > > > > > You still haven't explained *why* you want to rerank results. What is > > > > the use-case you're trying to implement? Quite often it's turned out > > > > for me that when I let folks on the list know what the use case I'm > > > > trying to support is, they come up with much more elegant solutions > > > > than I was thinking about. > > > > > > > > For instance, does the CustomScoreQuery class have any relevance > > > > to your problem? > > > > > > > > If you're thinking of modifying the core Lucene code for your special > > > > purpose, I'd advise against it unless and until you'd exhausted all > > > > the other options. It's always a maintenance headache to do this. > > > > > > > > Best > > > > Erick > > > > > > > > On Dec 21, 2007 10:09 AM, sumittyagi <[EMAIL PROTECTED]> wrote: > > > > > > > > > > > > > > actually i am writing a module to rerank the results, so > i want to > > > edit > > > > > the file which arrange the results and give them ranks, or is there > > > > > any other way i can use my module to rerank the results > > > > > > > > > > > > > > > markharw00d wrote: > > > > > > > > > > > > I think you need to describe your "factors" in more detail. > > > Exactly > > > > > what > > > > > > do you want to achieve for your users? > > > > > > We could be talking about any number of Lucene functions here. > > > > > > > > > > > > ----- Original Message ---- From: sumittyagi <[EMAIL PROTECTED]> > > > > > > To: java-user@lucene.apache.org Sent: Friday, 21 December, 2007 > > > > > > 4:51:09 AM Subject: Which file in the lucene package is used to > > > > > > manipulate results.. > > > > > > > > > > > > > > > > > > hi, i am using lucene for the very first time and want to > > > manipulate > > > > > > the > > > > > > results, by adding some more factors to it, which file should i > > > > > > edit to manipulate the search results.... > > > > > > > > > > > > Thanks > > > > > > Sumit Tyagi > > > > > > -- > > > > > > View this message in context: > > > > > > > > > > > > > > > > > > > > > > > > http://www.nabble.com/Which-file-in-the-lucene-package-is-used > -to-manipulate-results..-tp14450335p14450335.html > > > > > > Sent from the Lucene - Java Users mailing list archive at > > > > > > Nabble.com. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > __________________________________________________________ Sent > > > > > > from Yahoo! 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