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:memo: Misspelling correction

2

Update featurization notebook: likley to likely

griveralazo

Please help! Can't get model together

3

I am new to TensorFlow, in fact, I started exploring this library 2-3 weeks ago, because I am doing an internship where my project is a Recommender System. I could...

joaoalveshenriques

## codes `layers/loss.py` : change class name `SamplingProbablityCorrection` to `SamplingProbabilityCorrection` `layers/loss_test.py` : change class name `SamplingProbablityCorrection` to `SamplingProbabilityCorrection` for correct reference after the class name has been changed `tasks/retrieval.py` :...

Noba1anc3

multiple GPUs are not working properly in distribution tutorial

4

I ran [this tutorial ](https://www.tensorflow.org/recommenders/examples/diststrat_retrieval) on google cloud compute engine. My instance has 2 GPUs(A100),and tensorflow recognizes my GPUs. ```python from tensorflow.python.client import device_lib device_lib.list_local_devices() [name: "/device:CPU:0" device_type: "CPU" memory_limit:...

canonrock16

Example on how to pass candidate_ids and candidate_sampling_probability in Retrieval

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Hi, I'm having problems trying to pass candidate_ids and candidate_sampling_probability Can someone please share some code on how to create these two tensors?

stefanogaiera

loaded scann index can not use k param

8

https://github.com/tensorflow/recommenders/blob/main/docs/examples/basic_retrieval.ipynb ``` # Export the query model. with tempfile.TemporaryDirectory() as tmp: path = os.path.join(tmp, "model") # Save the index. index.save(path) # Load it back; can also be done in TensorFlow...

liyingkun1237

Prediction using cross layer in retrieval task

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Hello, In the tutorial https://www.tensorflow.org/recommenders/examples/dcn, we create multitple embedding layers of multiple rich features in the DCN model. I am wondering how to predict in the retrieval task using cross...

cory1219

🔨 Fix spelling error 'likley' → 'likely'

1

dunnkers

[Question] How to train/ continuous train with large dataset?

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The tutorial example illustrates how we recommend movies given to users. I have two follow-up questions regarding when this algorithm scale-up: 1. What if the number of users increases to...

xiaoyaoyang

Hi all, **Context:** I'm using Tensorflow Recommender to recommend SKUs to Users depending on the purchase History. To divide the train and the test set I have used the date...

stefanogaiera