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Processing of categorized product information

  • US 8,903,868 B2
  • Filed: 11/27/2013
  • Issued: 12/02/2014
  • Est. Priority Date: 09/21/2010
  • Status: Active Grant
First Claim
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1. A data processing system, comprising:

  • one or more processors configured to;

    access a product category tree, the product category tree comprising a plurality of hierarchical levels, wherein;

    a leaf category level of the plurality of hierarchical levels comprises a leaf category node;

    the leaf category node includes product information;

    the product information comprises a plurality of product attribute parameters;

    the plurality of product attribute parameters comprises non-standard product information and standard product information; and

    the standard product information comprises a plurality of non-product attribute parameters;

    select, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information;

    partition standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information, and wherein the representative product attribute parameter comprises a price of the product, a material of the product, a brand of the product, a model number of the product, a weight of the product, or any combination thereof;

    determine whether values of product attribute parameters in the non-standard product information and used for set partitioning fail to meet an established criterion; and

    in the event that the values of product attribute parameters in the non-standard product information and used for set partitioning fail to meet the established criterion;

    determine a degree of similarity of non-product attribute parameters within each subset;

    determine whether the degree of similarity of non-product attribute parameters within each subset meets a threshold value; and

    in the event that the degree of similarity of non-product attribute parameters within anyone subset fails to meet the threshold value;

    determine one of the product attribute parameters having a value that meets the established criterion;

    determine a set to which the one product attribute parameter belongs; and

    partition the non-standard product information into a subset of the determined set to which the one product attribute parameter belongs based on the non-product attribute parameters of the non-standard product information; and

    one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions.

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