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From: Adrien Grand <jpountz@gmail.com>
Date: Mon, 20 Nov 2017 18:22:18 +0000
Message-ID: <CAPsWd+NKO-DLEY4-ac4dnNOnOvwDkgOGhgHujYUJaFZhanwj+A@mail.gmail.com>
Subject: Re: Custom scoring algorithm and Explanation extending.
To: java-user@lucene.apache.org
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archived-at: Mon, 20 Nov 2017 18:22:35 -0000

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Hi Vadim,

Le jeu. 16 nov. 2017 =C3=A0 18:09, Vadim Gindin <vgindin@detectum.com> a =
=C3=A9crit :

> 1. I would like to use my custom scoring algorithm. Is it make sense to u=
se
> Lucene with other scoring algorithm? What is the best way for that -
> implement Similarity and own Queries?
>

It really depends what you are after. Similarity is the right entry point
if you want to configure how term queries compute their score based on
index statistics. If this is not flexible enough for you then you will need
to implement a custom query.


> 2. I'm reasearching Elasticsearch/Lucene capabilities. Elastichsearch
> contains request parameter "explain" that uses Lucene's Explanation class
> under the hood. But this class covers only scoring aspects. I would like =
to
> include matching logic details there. It seems a good place but this clas=
s
> is final..
>

Well, you can already do that today, just add sub explanations and put what
you need in the explanation description. If the float value is irrelevant,
you can just pass a dummy value.

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