recommenders
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TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
We have done a comparison of TFRS with [Lightfm](https://making.lyst.com/lightfm/docs/home.html) (a open source library which is for recommendation system) and Result shows that Lightfm performs better than TFRS. Here we use...
I would like to ask for some help regarding stacked Cross layers. From [this tutorial](https://www.tensorflow.org/recommenders/examples/dcn), the calling of a simple DCN layer looks like this: ``` if use_cross_layer: self._cross_layer =...
Hi @maciejkula - its been a while hope you are well :) I am back with another question! --- In my application I can easily swap query and candidate towers,...
Hi Im trying to add a new feature to the candidate tower (product title) as well as the ID of the product. I followed the same process as the user...
Hi, In a ranking model for a web-store- what is customary to use as product ranking? In the movie database it's movie rankings given by users, in the web-store there...
I have trained a deep retrieval model for my own data (~3 million records) and I have trained 30 epochs. I have seen that the "val_loss "decrease over the first...
This is a bit more of a help for others that encounter my same error. Running tensorflow_recommenders with tensorflow 2.5 on python 3.8 kills the interpreter with a `Illegal instruction...
Hi, currently it's not possible to install tensorflow-recommenders with version newer than 0.3.0 on MacOS-machine since it requires `tensorflow >= 2.9.0` package, while it doesn't exists for macos. Without the...
I have the following model using sequences to predict the next item: ```python class Model(tfrs.models.Model): def __init__(self): super().__init__() self.query_model = tf.keras.Sequential([ QueryModel(), tf.keras.layers.Dense(64), L2NormalizationLayer(axis=1) ]) self.candidate_model = tf.keras.Sequential([ CandidateModel(), tf.keras.layers.Dense(64),...
This changes refer to the sequential recommendations example notebook. Original published code threw the following exception while trying to train the model (in Google Collab) ```python3 query_model = tf.keras.Sequential([ tf.keras.layers.StringLookup(...