tensorflow / tensorflow/recommenders
Any example for sequential recommendations?
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 300
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Description
Hi! Ive been reading the docs and I couldnt find any example for sequential recommendations, commonly used for session based recommenders.
Is that use case covered by the functionalities in this repo? Any example about it?
Thanks!
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 by reviewing the repository documentation and existing recommender examples to determine whether sequential, session-based recommendations are supported. If they are, document a concrete example and make the supported behavior clear; otherwise, clarify the requested scope before starting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100