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Processing of categorized product information

  • US 9,524,310 B2
  • Filed: 10/24/2014
  • Issued: 12/20/2016
  • 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 and a plurality of non-product attribute parameters; and

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

    partition one of the plurality of sets into a plurality of subsets based on one non product attribute parameter of the plurality of non-product attribute parameters;

    partition the standard product information within one of the plurality of sets into a plurality of subsets based on a degree of similarity of non-product attribute parameters;

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

    deduplicate the standard product information and the non-standard product information; and

    provide a product recommendation to be displayed by a user based on the plurality of subsets; 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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