NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec
[FEA] Post context fusion using T4rec api
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status/needs-triage
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 165
- Avg merge
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- Merged PRs (30d)
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Description
🚀 Feature request
Motivation
SIGIR_eCommerce_Challenge_2021 solution from nvidia used a post-context fusion of search embeddings. Is there a way to introduce post context fusion using t4rec api and package.
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
Read recsys_meta_model.py around line 605 in the linked SIGIR eCommerce Challenge solution, then inspect the Transformers4Rec API and package entry points relevant to context fusion. Define the required API behavior and confirm that post-context fusion can be represented through the package; the issue does not name tests or a specific completion check.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- api, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100