tensorflow / tensorflow/recommenders
How to know the Rank model improves the output of the Retrieval model in the case of MovieLens dataset?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2k
- Forks
- 300
- PR merge metrics
- No merged PRs in 30d
Description
We all know that the rank will enhance the output of the retrieval model. But how can we see that in the case of MovieLens dataset?
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 names the MovieLens dataset and the Retrieval and Rank models but provides no file, test, or entry point. Start by locating their evaluation code, then establish a reproducible comparison showing whether ranking improves retrieval output on MovieLens; done means the evaluation method and result are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100