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Merlin Models is a collection of deep learning recommender system model reference implementations
### Bug description After the refactory moving loss and metrics to model.compile(), the loss and eval metrics are worse for a YouTubeDNN retrieval models. For the LastFM dataset for example...
# 🚀 Feature request Make it possible to export query-/item-embeddings from the youtube-dnn retrieval model similar to MF & Two-Tower. Right now the `YoutubeDNNRetrievalModel` returns a `Model` object instead of...
### Description Implement a mapping function to apply on top of the data loader in order to extract targets from the input sequence. The goal is to define different strategies...
## Problem: A clear description of the problem and how it impacts the customer experience of Merlin users. Why is this important? Why/Should we prioritize this work? ## Goal: -...
### Bug description I'm using ```get_aliccp()``` to process Ali CCP dataset following the [multi-stage recsys example](https://github.com/NVIDIA-Merlin/Merlin/tree/main/examples/Building-and-deploying-multi-stage-RecSys) but met a problem: ``` Reading common features...: 730600it [09:54, 1229.12it/s] Processing data...: 100000it...
### Description Providing an example using the dataset from RecSys2022 challenge and teaching concepts of Merlin Models. Concepts: - NextItem Prediction - Sequential input - ...
## Problem: Customers need to be able to train models that exceed the memory of a single GPU. Recommender Systems models can grow to over hundreds of millions of users...
The preprocessing workflow we have been used for retrieval models research is available [here](https://github.com/NVIDIA-Merlin/research/tree/main/retrieval_exp/notebooks/preproc/handm)
Currently we calculate the metrics for both the items in the dataset as well as the sampled negatives. We shouldn’t calculate it for the sampled negatives.
Masking class: sequences are shifted to keep the last item as a label during evaluation (Training=False) but we should disable masking and keep the sequence as it is for the...