1. A method of incorporating recommendation boosting in an automated recommendation system comprising the steps of: receiving recommendation boost instructions; receiving a request for one or more recommendations; receiving a set of recommendations from one or more automated recommendation systems, wherein each recommendation system utilizes one or more selection models or user models; and modifying the set of product recommendations according to the recommendation boost instructions.