BAYESIAN PRODUCT RECOMMENDATION ENGINE

The invention provides a method of generating a recommendation for a product type. A plurality of product attributes associated with the product type is provided. A sampled set of consumer values is received. At least one user preference corresponding to the product attributes is received. A plurality of consumer values based on the at least one user preference and the sample set of consumer values is calculated, and at least one product recommendation is determined based on the calculated consumer values.