tensorflow / tensorflow/recommenders
[Re-opened][Question] Sequential Ranking Model
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Description
Hello! I am trying to build a recommendation system using tfrs. I managed to build a retrieval model using the Retrieval with Sequential Model tutorial, but I don't know where to go from here. I've tried to build the model ranking model based on the retrieval model but I failed.
Now, sorry if it's a dumb question, I'm still learning but, can I build a model of Ranking using the same GRU layer? If yes, can you point me to an example of how should I build such a model or help me with a model that for the Movielens dataset like in the tutorial?
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 Retrieval with Sequential Model tutorial and the described MovieLens retrieval model, then determine what ranking example or guidance is missing. Done means the issue's question about reusing the GRU layer is answered with a reproducible ranking example or clear documentation, including how to verify it on MovieLens.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100