tensorflow / tensorflow/recommenders
[Question] Best practice for making the model updates with new data?
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@maciejkula is already working on this.
Since Feb 26, 2021.
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Description
I have built a recommender by applying method in tutorial, but in real practice, the training data is not still, new contents will be generated, user will react to your recommendation content.
So I would like to get advice for two points:
- What's the best practice for updating the mdl with new user behavior / new content? (Not retraining from beginning)
- What's the best practice for involving people's reaction to my recommendation?
Thanks in advance.
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