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Sourcing abound candidates apparatuses, methods and systems

  • US 10,261,969 B2
  • Filed: 08/19/2014
  • Issued: 04/16/2019
  • Est. Priority Date: 08/19/2013
  • Status: Active Grant
First Claim
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1. A disparate-network candidate criteria matching apparatus, comprising:

  • a memory;

    a component collection in the memory, including;

    a data normalizer component;

    an attributized profile component;

    a profile enrichment component;

    a complexity reduction component;

    a weighting component; and

    a matching component;

    a processor disposed in communication with the memory, and issues a plurality of processing instructions from the component collection stored in the memory,wherein the processor issues instructions from the data normalizer component, stored in the memory, to;

    provide a candidate profile data extraction request to a network server, obtain a candidate data normalization support responses from the network server, normalize the candidate data normalization support responses;

    wherein the processor issues instructions from the attributized profile component, stored in the memory, to;

    create a candidate attributized profile from the normalized candidate normalization responses;

    wherein the processor issues instructions from the profile enrichment component, stored in the memory, to;

    determine attributed profile attributes for the candidate attributized profile, which are targets of no mapping, identify related normalized data tags from the normalized candidate data normalization support responses, analyze the normalized data tags to yield population results of under consideration attributes, enrich the candidate attributized profile with the yield population results;

    wherein the processor issues instructions from the complexity reduction component, stored in the memory, to;

    apply complexity reduction approach to the enriched candidate attributized profile;

    wherein the processor issues instructions from the weighting component, stored in the memory, to;

    determine attribute-wise similarity set for social network pair, determine and set attribute weights based on the determine attribute-wise similarity set;

    wherein the processor issues instructions from the matching component, stored in the memory, to;

    obtain a candidate criteria query from a requestor, identify attributized user profiles matching the candidate criteria query;

    place matching identified attributized user profiles in a profile bucket, wherein application of complexity reduction factors generates disparate profile buckets, prune attributized user profiles from the profile bucket, wherein transitivity is employed to remove attributized user profiles not corresponding to a same individual, identify attributized user profile with sameness match to the candidate criteria query from the profile bucket, provide criteria-matching candidate results from the identified atributized user profile to the requestor.

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