You are viewing a plain text version of this content. The canonical link for it is here.

Posted to oak-issues@jackrabbit.apache.org by "Tommaso Teofili (JIRA)" <ji...@apache.org> on 2019/03/12 13:21:00 UTC

[jira] [Resolved] (OAK-8119) Let similarity search rerank use distance as exact score

     [ https://issues.apache.org/jira/browse/OAK-8119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Tommaso Teofili resolved OAK-8119.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.10.2
                   1.12

> Let similarity search rerank use distance as exact score
> --------------------------------------------------------
>
>                 Key: OAK-8119
>                 URL: https://issues.apache.org/jira/browse/OAK-8119
>             Project: Jackrabbit Oak
>          Issue Type: Task
>          Components: lucene
>            Reporter: Tommaso Teofili
>            Assignee: Tommaso Teofili
>            Priority: Major
>             Fix For: 1.12, 1.10.2
>
>
> Currently the reranking algorithm for feature vector similarity search uses an additive scoring mechanism so that the final score is the sum of the original LSH query and the query - document feature vector distance. It turns out that since LSH is supposed to approximate the fv distance it'd be more effective to just use the exact distance as the final score instead of performing the mentioned sum.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)