Himan Abdollahpouri

Hello I was trying to find some algorithms that are designed to improve novelty, diversity or long-tail of the recommendations but I was not able to find those in Librec....

Hello, I remember in previous versions of LibRec, the output file of the recommendations contained userId, item-ID and predicted ratings and also a star (*) that represented if that was...

Hello, I realized for RankALS algorithm unlike other ranking algorithms, the program does not track the loss and does not print the loss. It is a good feature that other...

Algorithms don't return more than a certain number of recommendations per user

3

I was trying to get a recommendation of size 100 per user for MovieLens 1M dataset but the algorithm(I tried SVD but I'm sure it is the same for others...

SHAP values and treatment effect values for causal forest

1

Hello, I have been following one of the examples [(here)](https://github.com/uber/causalml/blob/master/examples/feature_interpretations_example.ipynb) and I see the meta learners have a `. get_shap_values` and `plot_shap_values` methods for SHAP values. Also, I think they...

heterogeneous treatment effects of treatments

4

Hello. It is really not a request for a feature neither it is a bug. I was looking for a package to do heterogeneous treatment effects of different treatments and...

Finding meaningful user cohorts in the Uber ad Bidder example

2

Hello. I followed your example notebook for Uber Targetting Optimization (slide is [here](https://drive.google.com/file/d/1QJJUCo4LH5kGQP3kaJlG1RdhjhaJWp-5/view) and notebook is [here](https://colab.research.google.com/drive/1fnZEHIAcNxrvSxFrlO1hRTHO7sazXbo0?usp=sharing) ) for finding the best users to target to minimize the advertising cost....

What is the benefit of having two separate class one for user and one for query?

1

Hello I see in this [tutorial](https://github.com/tensorflow/recommenders/blob/main/docs/examples/deep_recommenders.ipynb), there are separate classes for user model and query model. The same for the movie model and candidate model. Can you please explain what...

index_from_dataset returns indices rather than movie names

3

Hello In my code I added another feature to the candidate tower in addition to movie title (for each movie I have a vector representation of that movie which is...

Hello In the vanilla Keras models, I have been using `tf.keras.utils.plot_model()` to see the model architecture which has been extremely useful. However, the function does not work on the model...