tensorflow / tensorflow/recommenders
Prediction using cross layer in retrieval task
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Description
Hello,
In the tutorial https://www.tensorflow.org/recommenders/examples/dcn, we create multitple embedding layers of multiple rich features in the DCN model. I am wondering how to predict in the retrieval task using cross layer if we have multiple rich features in the user model.
Thanks!
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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 TensorFlow Recommenders DCN tutorial, focusing on its multiple rich-feature embeddings, cross layer, and retrieval task. Clarify whether the tutorial should document prediction with multiple user features and define the expected usage or example as the completion criteria.
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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