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I've to build a recommendation system with a dataset where the feedback is given for the whole set of items instead to the specific items. We can see that feedback as a numerical indicator of the global happiness of the customer. I'm willing to construct a hybrid recommendation system but I don't know exactly how to exploit this global feedback.

Additionally, I've vector representations of the items.

Any idea? Thanks!

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