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Learning to Rank in TensorFlow

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The issue of float precision affects many computations in `tensorflow_ranking`, such as https://github.com/tensorflow/ranking/blob/a928e2b1930a1ebcae2c509e3f6ca95941fd1e49/tensorflow_ranking/python/metrics_impl.py#L603-L628 This has been mentioned before in #254, but I want to elaborate on our difficulties. This type...

The class `class _PairwiseLoss(_RankingLoss):` overrides `def call(...)` from its parent without applying the temperature scaling (unlike its parent): https://github.com/tensorflow/ranking/blob/c46cede726fd453e0aaa6097871d23dc8e465bdc/tensorflow_ranking/python/keras/losses.py#L322

Hi, Is there any reason for masking the negative labels? As far as I know there is no mention in the documentation that the labels must be positive, neither in...

Validation step incorrectly used training dataset, change to validation dataset

In the [movie lens example provided in the quickstart section](https://www.tensorflow.org/ranking/tutorials/quickstart) how is it possible to get such high MRR=1 and nDCG=0.94??

The provided examples contains univariate and bivariate models, but lack of multivariate examples, such as DLCM. It would be very nice to provide some.

Hello there, Following announcement #202: I've successfully trained a neural GAM model following this [tutorial](https://www.tensorflow.org/ranking/tutorials/ranking_dnn_distributed), but using GAMScorer instead. I've been able to predict the ranking of a test query...

I am trying to add an extra loss to penalize some intermedia variables in the scoring function, but I notice that by calling tf.compat.v1.add_to_collection, the loss did not change. Here...

in the tutorial documentation we have a basic implementation that does not use the movie title text features or some other movie feature in listwise ranking., i was trying to...

Updated quickstart tutorial with new apis Old api - tf.keras.layers.experimental.preprocessing.StringLookup New api - tf.keras.layers.StringLookup Attached [Old](https://colab.sandbox.google.com/github/tensorflow/ranking/blob/master/docs/tutorials/quickstart.ipynb#scrollTo=9I1VTEjHzpfX) and [new](https://colab.sandbox.google.com/gist/mohantym/c50fbb9c662018c9216f0140cc409cc7/quickstart.ipynb#scrollTo=9I1VTEjHzpfX) gist for reference.