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System for measuring and testing a product using artificial olfactometry and analytical data

  • US 7,593,863 B1
  • Filed: 03/09/2001
  • Issued: 09/22/2009
  • Est. Priority Date: 03/10/2000
  • Status: Expired due to Fees
First Claim
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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.

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