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## Summary
Introduce an alternative for the ranking task (powered by LambdaMART algorithm) to leverage pairwise scoring function (instead of the standard pointwise one).
## Motivation
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I think etext access is a very good score but we should balance it with a sort of etext quality score. (I guess we should do that for scans too but currently we can't really get some metrics about tha…
eroux updated
3 months ago
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Hi Team,
So I have a set of documents which are passed to my lambdamart model for rescoring. However after the rescoring, I still want to reduce the relevance of some of the documents. Is this poss…
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Investigate different classifiers that optimize AUC directly instead of some surrogate .
I'm aware of the following classifiers that support AUC optimization::
- Ranking SVM (e.g. svmlight or Fabian'…
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I'm using XGBoost with lambdaMart as objective (`rank:pairwise`)
the problem with this model is the prediction of the model is a rank for each group and the score the model is giving for each item in…
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Hi,
I am using the below command to train an LTR model with Lambdamart and whenever the command executes, it kills all the other processes. Is there any way I can control this to use just one core?…
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See issue.
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ReConfig utilizes the library **RankLib.jar** to re-rank the original predicted ranking list outputed by the rank-based method.
However, the results shows that learning to rank model cannot improve …
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What steps will reproduce the problem?
1. convert sample-ranking-data to binary format
2. train with sample-ranking-data using sample-ranking-config.properties
What is the expected output? What d…