Methods and apparatuses to rank multiple results from multiple search engines using a fully connected neural network

A non-transitory processor-readable medium storing code representing instructions to be executed by a processor of a first compute device, the code comprising code to cause the processor to:

• receive a plurality of ballots (1) for a plurality of candidates, (2) generated by a plurality of search engines, and (3) for a job description, each ballot from the plurality of ballots generated by a search engine from the plurality of search engines different than remaining search engines from the plurality of search engines;
• generate a mathematical representation that indicates, for each candidate from the plurality of candidates, how many other candidates from the plurality of candidates that candidate was ranked higher than in the plurality of ballots;
• generate, using a trained statistical model and based on the mathematical representation, a final ballot ranking the plurality of candidates;
• and
• identify a candidate from the plurality of candidates for the job description based on the final ballot.

A method, comprising:

• receiving a plurality of ballots (1) for a plurality of candidates, (2) generated by a plurality of search engines, and (3) for a job description, each ballot from the plurality of ballots generated by a search engine from the plurality of search engines different than remaining search engines from the plurality of search engines;
• generating a mathematical representation that indicates, for each candidate from the plurality of candidates, how many other candidates from the plurality of candidates that candidate was ranked higher than in the plurality of ballots;
• generating, using a trained statistical model and based on the mathematical representation, a final ballot ranking the plurality of candidates;
• and
• identifying a candidate from the plurality of candidates for the job description based on the final ballot.