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From "Michael McCandless (JIRA)" <j...@apache.org>
Subject [jira] Commented: (LUCENE-2392) Enable flexible scoring
Date Mon, 12 Apr 2010 09:57:41 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-2392?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12855906#action_12855906
] 

Michael McCandless commented on LUCENE-2392:
--------------------------------------------

bq. I think what I'm saying is that if we can open up the norms computation to custom code
- that will do what I want, right? 

I'm calling the norms "boost bytes" :)  This was Marvin's term.. I
like it.

This patch makes boost byte computation completely private to the
sim (see the *FieldSimProvider).  Ie the sim providers walk the stats
and do whatever they want to "prepare" for real searching.  EG if you
have the RAM maybe you want to use a true float[] not boost bytes.  Or
if you really don't have the RAM maybe you use only 4 bits per-doc,
not 8.  The FieldSim just provides a "float boost(int docID)" so what
it does under the hood is private.

bq. Maybe we can have a class like DocLengthProvider which apps can plug in if they want to
customize how that length is computed.

So... I'm actually trying to avoid extensibility on the first go, here
(this is the "baby steps" part of the original thread).

Ie, the IR world seems to have converged on a smallish set of "stats"
that are commonly required, so I'd like to make those initial stats
work well, for starters.  Commit that (it enables all sorts of state
of the art scoring models), and perhaps cutover to the default Robert
created in LUCENE-2187 (which needs stats to work correctly).  And
then (phase 2) work out plugability so you can put your own stats
in....

bq. Wherever we write the norms, we'll call that impl, which by default will do what Lucene
does today?

Right, this is the DefaultSimProvider in my current patch -- it simply
computes the same thing Lucene does today, but uses the stats at IR
open time (once it's hooked up) to do, instead of doing so during
indexing.

bq. I think though that it's not a field-level setting, but an IW one?

It's field level now and I think we should keep it that way.  EG
Terrier was apparently document oriented in the past but has now
deprecated that and moved to per-field.

You can always make a catch-all field if you "really" want aggregated
stats across the entire doc?


> Enable flexible scoring
> -----------------------
>
>                 Key: LUCENE-2392
>                 URL: https://issues.apache.org/jira/browse/LUCENE-2392
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Search
>            Reporter: Michael McCandless
>            Assignee: Michael McCandless
>             Fix For: 3.1
>
>         Attachments: LUCENE-2392.patch
>
>
> This is a first step (nowhere near committable!), implementing the
> design iterated to in the recent "Baby steps towards making Lucene's
> scoring more flexible" java-dev thread.
> The idea is (if you turn it on for your Field; it's off by default) to
> store full stats in the index, into a new _X.sts file, per doc (X
> field) in the index.
> And then have FieldSimilarityProvider impls that compute doc's boost
> bytes (norms) from these stats.
> The patch is able to index the stats, merge them when segments are
> merged, and provides an iterator-only API.  It also has starting point
> for per-field Sims that use the stats iterator API to compute boost
> bytes.  But it's not at all tied into actual searching!  There's still
> tons left to do, eg, how does one configure via Field/FieldType which
> stats one wants indexed.
> All tests pass, and I added one new TestStats unit test.
> The stats I record now are:
>   - field's boost
>   - field's unique term count (a b c a a b --> 3)
>   - field's total term count (a b c a a b --> 6)
>   - total term count per-term (sum of total term count for all docs
>     that have this term)
> Still need at least the total term count for each field.

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