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Posted to dev@lucene.apache.org by "Doron Cohen (JIRA)" <ji...@apache.org> on 2007/07/24 03:21:31 UTC

[jira] Updated: (LUCENE-836) Benchmarks Enhancements (precision/recall, TREC, Wikipedia)

     [ https://issues.apache.org/jira/browse/LUCENE-836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Doron Cohen updated LUCENE-836:
-------------------------------

    Attachment: lucene-836.benchmark.quality.patch

Updated patch is cleaner and almost ready to commit: interfaces are more clean now, and most javadocs is in place. Package javadocs still missing. 

> Benchmarks Enhancements (precision/recall, TREC, Wikipedia)
> -----------------------------------------------------------
>
>                 Key: LUCENE-836
>                 URL: https://issues.apache.org/jira/browse/LUCENE-836
>             Project: Lucene - Java
>          Issue Type: New Feature
>          Components: Other
>            Reporter: Grant Ingersoll
>            Priority: Minor
>         Attachments: lucene-836.benchmark.quality.patch, lucene-836.benchmark.quality.patch
>
>
> Would be great if the benchmark contrib had a way of providing precision/recall benchmark information ala TREC.  I don't know what the copyright issues are for the TREC queries/data (I think the queries are available, but not sure about the data), so not sure if the is even feasible, but I could imagine we could at least incorporate support for it for those who have access to the data.  It has been a long time since I have participated in TREC, so perhaps someone more familiar w/ the latest can fill in the blanks here.
> Another option is to ask for volunteers to create queries and make judgments for the Reuters data, but that is a bit more complex and probably not necessary.  Even so, an Apache licensed set of benchmarks may be useful for the community as a whole.  Hmmm.... 
> Wikipedia might be another option instead of Reuters to setup as a download for benchmarking, as it is quite large and I believe the licensing terms are quite amenable.  Having a larger collection would be good for stressing Lucene more and would give many users a demonstration of how Lucene handles large collections.
> At any rate, this kind of information could be useful for people looking at different indexing schemes, formats, payloads and different query strategies.

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