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From "Fis Ka (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-3220) Implement various ranking models as Similarities
Date Fri, 17 Feb 2012 15:30:00 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-3220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13210328#comment-13210328
] 

Fis Ka commented on LUCENE-3220:
--------------------------------

Hi All,

pardon my ignorance, I'm new to this. What I need is the BM25 to implement in my current project
(bachelor thesis), I'm using Lucene 3.0.2. 
Can you instruct me what do I need to do, so that I can add the bm25 to my project? Do I get
a jar? or do I need to compile everything on my own?
furthermore, do I need to re-index sources in order to have BM25 working?

best,

 fiska
                
> Implement various ranking models as Similarities
> ------------------------------------------------
>
>                 Key: LUCENE-3220
>                 URL: https://issues.apache.org/jira/browse/LUCENE-3220
>             Project: Lucene - Java
>          Issue Type: Sub-task
>          Components: core/query/scoring, core/search
>    Affects Versions: flexscoring branch
>            Reporter: David Mark Nemeskey
>            Assignee: David Mark Nemeskey
>              Labels: gsoc, gsoc2011
>             Fix For: flexscoring branch
>
>         Attachments: LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch,
LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch,
LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch,
LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch,
LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch, LUCENE-3220.patch
>
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> With [LUCENE-3174|https://issues.apache.org/jira/browse/LUCENE-3174] done, we can finally
work on implementing the standard ranking models. Currently DFR, BM25 and LM are on the menu.
> Done:
>  * {{EasyStats}}: contains all statistics that might be relevant for a ranking algorithm
>  * {{EasySimilarity}}: the ancestor of all the other similarities. Hides the DocScorers
and as much implementation detail as possible
>  * _BM25_: the current "mock" implementation might be OK
>  * _LM_
>  * _DFR_
>  * The so-called _Information-Based Models_

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