For the satisfaction of individual customer
requirements, products with many options are offered in
mass customization. However, in the area of ecommerce,
the large number of possible product
configurations can overwhelm the customer, as he or she
is not supported by a human sales expert. To minimize
the customer’s overload, this paper examines the
combination of a knowledge-based product configurator
with an upstream probabilistic recommender system to
provide a quick, individual and dynamic initial
orientation for the customer. The application of the
approach is demonstrated using an example from
engineering design.
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