Details
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Improvement
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Status: Open
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Minor
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Resolution: Unresolved
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None
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None
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None
Description
QuickScorer is an algorithm which can calculate multiple additive trees fast by using bitvectors for detecting target leaves.
It was first published in SIGIR 2015 and won the best paper award of the conference.
refs: http://zola.di.unipi.it/rossano/wp-content/papercite-data/pdf/sigir15.pdf
We implemented QuickScorer as one of LTRScoringModel.
This model uses same configuration of MultipleAdditiveTreesModel, thus it is easy to replace the model.
Our experiments show our model can calculate scores about twice faster than MultipleAdditiveTreesModel.
Attachments
Attachments
Issue Links
- is related to
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SOLR-8542 Integrate Learning to Rank into Solr
- Resolved
- relates to
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SOLR-15315 MultipleAdditiveTreesModel Latency optimisation for LTR tree traversal
- Closed