<p>TF Ranking provides a framework for you to implement your own algorithm. It helps you set up the components around the core of your model (input_fn, metrics and loss functions, etc.). But the scoring logic (aka scoring function) should be provided by the user.</p>

<p>You probably have already seen these, but just in case:</p>

<p><a href="https://arxiv.org/abs/1812.00073" rel="nofollow noreferrer">TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank
</a></p>

<p>and</p>

<p><a href="https://arxiv.org/abs/1811.04415" rel="nofollow noreferrer">Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks</a></p>
How to implement different ranking algorithms in tf-ranking framework?
<p>What is the algorithm behind tf-ranking? and can we use Lambdamart algorithm in tf-ranking .Can anyone suggest some good sources to learn these </p>