recommenders

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recommendation results not making sense

2

`model = tf.saved_model.load(model_path) request = {"userid":user_id} scores,rec_item_ids = model(request) ` here rec_item_ids are all same and their scores as well . any help why this is happening

riyaj8888

SampledSoftmax Loss in Retrieval

11

Hi, as is shown in the basic_retrieval tutorial, we seem to use `tf.keras.losses.CategoricalCrossentropy` loss as default. 1. I wonder if there is any difference between that and `tf.nn.sampled_softmax_loss`? In my...

tangzhy

[Question] TFX Evaluator in a recommender pipeline

2

I apologize if an issue isn't the appropriate place for my question - but if what I am trying to do here is sensible/possible then maybe this could be considered...

TaylorZowtuk

https://www.tensorflow.org/recommenders/examples/listwise_ranking by follow this doucument I wrote some code ``` import pprint import numpy as np import tensorflow as tf import tensorflow_datasets as tfds import tensorflow_ranking as tfr import tensorflow_recommenders...

hyyan112

I get the following error after doing `pip install tensorflow-recommenders`: ``` ERROR: Could not find a version that satisfies the requirement tensorflow-macos>=2.9.0; sys_platform == "darwin" (from tensorflow-recommenders) (from versions: none)...

drljem

[Question] How to flatten the normalised distribution of scores?

4

Hi! When training a TF recommender, my final cosine distance between all users items creates a very peaky narrow distribution around 0. See the following chart: I can apply a...

ydennisy

How to reorder candidates retrieved by index(ScaNN) based on ranking model?

2

Firstly, amazing library! I've trained a multitask model as described in the tutorial, but I don't know how to reorder the candidates retrieved by the index based on the score...

Dfmejial

Unable to save model checkpoint on Tensorflow Recommender's subclass model

3

Hi, I have used Tensorflow Recommender's tutorial of Movielens to train the recommender model. But when I try to use callback mdel checkpoint in model.fit(). It raises following error: ```...

karndeepsingh

[Question] When to use num_hard_negatives?

1

Intuitively, by using hard negatives, we are trying to push away random negatives with high logits away from the true positive. Since the negatives are random, isn't this forcing model...

mesuvash

How can I add Mean Average Precision metric?

1

Hello, I was reading several books on recommender systems and in the literature the **mAP (Mean Average Precision)** metric is used a lot and I wanted to know how I...

ftcister