Abstract: According to an example embodiment, a system is configured to determine a product group selectively grouping one or more of related products and related product classes; compute centroid values averaging customer preference values for the one or more of the related products and the related product classes of the product group; compute similarity scores between the product group and other product objects using the customer preference centroid values associated with the product group and customer preference values associated with the product objects; and select for recommendation one of the other product objects based on the similarity scores. The product objects including one or more of products and product classes from the product database.