NVIDIA-Merlin / NVIDIA-Merlin/Merlin
POC on how to build a session-based recommendation model that can be used to re-rank candidate items
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 907
- Forks
- 129
- PR merge metrics
- No merged PRs in 30d
Description
This issue has no description.
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
The issue body is empty and does not identify files, tests, or an entry point. Start by reviewing the repository's existing recommendation-model and ranking components, then define a session-based model that can re-rank candidate items and document the evaluation criteria for a complete proof of concept.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100