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Posted to issues@lucene.apache.org by "Zach Chen (Jira)" <ji...@apache.org> on 2021/05/02 02:43:00 UTC
[jira] [Updated] (LUCENE-9335) Add a bulk scorer for disjunctions
that does dynamic pruning
[ https://issues.apache.org/jira/browse/LUCENE-9335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Zach Chen updated LUCENE-9335:
------------------------------
Attachment: wikimedium.10M.nostopwords.tasks
> Add a bulk scorer for disjunctions that does dynamic pruning
> ------------------------------------------------------------
>
> Key: LUCENE-9335
> URL: https://issues.apache.org/jira/browse/LUCENE-9335
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Adrien Grand
> Priority: Minor
> Attachments: wikimedium.10M.nostopwords.tasks
>
> Time Spent: 2.5h
> Remaining Estimate: 0h
>
> Lucene often gets benchmarked against other engines, e.g. against Tantivy and PISA at [https://tantivy-search.github.io/bench/] or against research prototypes in Table 1 of [https://cs.uwaterloo.ca/~jimmylin/publications/Grand_etal_ECIR2020_preprint.pdf]. Given that top-level disjunctions of term queries are commonly used for benchmarking, it would be nice to optimize this case a bit more, I suspect that we could make fewer per-document decisions by implementing a BulkScorer instead of a Scorer.
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