tensorflow / tensorflow/recommenders
[Question] What are best practices to post-process predictions for inventory levels?
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@maciejkula is already working on this.
Since Dec 20, 2021.
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Description
Suppose I run the worlds last DVD-rent-by-mail service and we've developed a basic recommend model by following your excellent Recommending movies: retrieval guide. Everything is working great until we notice our model is recommending movies that are out of stock! What's a good way to deal with this? I can't train the model before every recommendation, so obviously some sort of post processing needs to be done to the recommendation. I'm not sure the right way to approach this.
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