Patent ID: 7593863
Filing Date: 2009-09-22
Classification: G06Q

Abstract:
1. A system executed by a computer that recommends a consumer product selection across a network to a consumer, said system comprising: a recommendation engine comprising a first computing module, embodied in the computer, that determines a difference between a plurality of consumer products having a plurality of descriptors by differentiating between at least one descriptor of each said plurality of consumer products and providing said difference to a second computing module embodied in the computer; a descriptor module, embodied in the computer, that is configured to receive human descriptor trait (HDT) descriptor input regarding the plurality of descriptors of at least a sampled consumer product from at least two independent consumers at two independent nodes, respectively, on the network; the second computing module, coupled to said recommendation engine, that sorts between each of said consumer products to form at least two classes for said plurality of consumer products; a third computing module, embodied in the computer, and coupled to said recommendation engine, that determines for each of said plurality of consumer products a correlation between said at least two classes and each of said plurality of descriptors including the received HDT descriptor input, said third computing module assigning a weighting term for each of said plurality of descriptors based upon each of said descriptor's ability to sort between said at least two classes; and a fourth computing module, embodied in the computer, and coupled to said recommendation engine, that cooperatively operates on said weighting terms to provide a recommendation.