Considering the definition of a recommending system

A recommender system, is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item. They are primarily used in commercial applications. Source:Wikipedia.

it is condsidered into a retail problem having two datasets:

  • shop - customers characteristics
  • historical transaction about items with their properties.

I am wondering the following question about this kind of problems:

  • Question 1: By recommending products from similar stores could this algorithm guarantee that the stores are going to get more sales?
  • Question 2: Lets say that we know if a shop is classified into high|Medium|Low customer(we have that variable), In this case, in a general level how could we do a recommendation of products that takes into an account that we expect to convert all shops as much as possible into a high customers.

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