Transformers4Rec
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Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
I am trying to add users' stable long-term interests and dynamic short-term interests for next action prediction.May I know the documentation to train the two Xlnet , one transformer to...
Notebook 02 had an error output from Triton server request due to NA values in the category column of the batch data. Added a dropna() statement to clean the rows...
# ❓ Questions & Help ## Details Im working on a project that requires me to produce a stable long-term user and item representation and also use short-term user behavior...
Fixes TypeError: torch.Size() takes an iterable of 'int' (item 1 is 'NoneType') Error. When using Transformer4Rec, whilst creating the `tabular_inputs` from `tr.TabularSequenceFeatures.from_schema`, it throws a TypeError. After a bit of...
# ❓ Questions & Help ## Details I have executed 01 and 02 successfully and in 03 as well everything before this block under "3.2.4 Train XLNET with Side Information...
# 🚀 Feature request It would be great if there is a support for using negative signals as inputs to the model. In the context of a music-streaming platform, a...
# Hi. I have a question regarding target feature for causal masking ## Details I am working on a recommendation system for users who clicks on items. The user has...
### Goals :soccer: Ensure that the model is called with features that match the `Model.input_schema`. This ensures that we trace the model with the correct inputs when creating a model...
Fixes # (issue) ### Goals :soccer: ### Implementation Details :construction: ### Testing Details :mag: