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Merge pull request #3555 from vespa-engine/kkraune/ltr
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Update text-search-ml.md
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kkraune authored Jan 3, 2025
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Expand Up @@ -19,6 +19,9 @@ More specifically, you will accomplish the following steps in this tutorial.
and ensure you have a properly built dataset at the end of the process.
* Illustrate the importance of going beyond pointwise loss functions when dealing with Learning To Rank (LTR) tasks.

[Vespa Product Ranking](https://github.com/vespa-engine/sample-apps/tree/master/commerce-product-ranking)
is a good resource for Learning To Rank using XGBoost and LightGBM, with linked blog posts.


## Collect rank feature data from Vespa

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