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
How to implement different ranking algorithms in tf-ranking framework?
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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.
You probably have already seen these, but just in case:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank
and
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks