mxnet gluon recommender batch prediction?

Hi, I am able to run and query the endpoint, this model takes a user and multiple items (or single) to get the recommendation scores.

I am not sure how to apply batch predictions like for each user get all the products they haven't seen (or bought, liked), I would really appreciate if you share any architecture approach. Is there a way to do all of this by online inference machines?