NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec
Documentation of a reference pipeline for session-based recommendation training and inference
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- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 165
- Avg merge
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- Merged PRs (30d)
- 2
Description
Documentation with a diagram, description and examples on how to build and end2end session-based recommendation inference pipeline, including Merlin tools and suggested open-source tools.
Reference doc
Rich information can come from related issues #127 and #128
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked reference document and related issues #127 and #128 to identify the pipeline stages, Merlin components, and examples to cover. Done means the documentation includes the requested diagram, an end-to-end session-based training and inference description, and practical examples.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100