1. A computer-implemented method comprising: receiving, by a configured computer system, recommendation boost instructions from a first user that indicate how strongly recommendations for an indicated boost subject should be increased or decreased, the indicated boost subject corresponding to one or more products that are available to be recommended; receiving, by the configured computer system, a request for one or more product recommendations to be presented to one or more users other than the first user; after receiving the recommendation boost instructions, receiving, by the configured computer system, a set of product recommendations that are generated by one or more remote automated recommendation systems, the set of recommendations having been generated by the one or more automated recommendation systems using one or more defined selection models and without using the recommendation boost instructions; and after the receiving of the set of recommendations, automatically modifying, by the configured computer system, the set of product recommendations based on the recommendation boost instructions so that recommendations for the one or more products are increased or decreased based on the recommendation boost instructions, the modifying based on the recommendation boost instructions enabling control by the first user of at least some recommendations of the automatically modified set and being performed without modifying the one or more defined selection models.