Apparatuses and methods for linking posting data

Abstract

Aspects relate to apparatuses and methods for linking posting data to a plurality of user identifiers. An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a plurality of user identifiers relating to a plurality of users, receive posting data from a posting generator of a plurality of posting generators, identify a plurality of keywords within the posting data, generate a keyword ranking, match a plurality of keywords of the keyword ranking to the plurality of user identifiers, and generate, as a function of the matching, a ranking of the plurality of user identifiers based on a superiority criterion of each user identifier using a fuzzy set inference system.

What is claimed is: 
     
         1 . An apparatus for linking posting data to a plurality of user identifiers, the apparatus comprising:
 at least a processor; and   a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:
 receive a plurality of user identifiers relating to a plurality of users, wherein a user identifier of the plurality of user identifiers comprises at least a video resume; 
 receive posting data from a posting generator of a plurality of posting generators; 
 identify a plurality of keywords within the posting data; 
 generate a keyword ranking based on a plurality of weighted values reflecting priority among the plurality of keywords; 
 match a plurality of keywords of the keyword ranking to the plurality of user identifiers; and 
 generate, as a function of the matching, a ranking of the plurality of user identifiers based on a superiority criterion of each user identifier using a fuzzy set inference system. 
   
     
     
         2 . The apparatus of  claim 1 , wherein:
 the at least video resume contains at least verbal content; and   the memory contains instructions further configuring the processor to utilize at least an audiovisual speech recognition process to convert the verbal content into textual data.   
     
     
         3 . The apparatus of  claim 1 , wherein the posting data comprises a plurality of descriptive data elements pertaining to the posting generator. 
     
     
         4 . The apparatus of  claim 1 , wherein the plurality of keywords comprises at least the plurality of descriptive data elements. 
     
     
         5 . The apparatus of  claim 1 , wherein the memory contains instructions further configuring the processor to use a language processing module to extract the plurality of keywords from the posting data. 
     
     
         6 . The apparatus of  claim 1 , wherein the memory contains instructions further configuring the processor to use optical character recognition to extract the plurality of keywords from the posting data. 
     
     
         7 . The apparatus of  claim 1 , wherein generating the keyword ranking based on the plurality of weighted values comprises using a machine learning process including a feedback loop to generate the plurality of weighted values based on training data containing at least priority feedback from the plurality of posting generators. 
     
     
         8 . The apparatus of  claim 7 , wherein the at least priority feedback from the plurality of posting generators is received from a priority feedback database containing a plurality of samples related to the keyword ranking. 
     
     
         9 . The apparatus of  claim 1 , wherein matching a plurality of keywords to the plurality of user identifiers comprises using a machine learning classification algorithm configured to output data bins of a plurality of particular user identifiers matched to the posting data. 
     
     
         10 . The apparatus of  claim 9 , wherein using the machine learning classification algorithm further comprises using a language processing module. 
     
     
         11 . A method for using linking posting data to a plurality of user identifiers, the method comprising:
 receiving, using a computing device, a plurality of identifiers relating to a plurality of users, wherein a user identifier of the plurality of user identifiers comprises at least a video resume;   receiving, using a computing device, posting data from a posting generator of a plurality of posting generators;   identifying, using a computing device, a plurality of keywords within the received posting data;   generating, using a computing device, a keyword ranking based on a plurality of weighted values reflecting priority among the plurality of keywords;   matching, using a computing device, a plurality of keywords of the keyword ranking to the plurality of user identifiers; and   generating, using a computing device, a ranking of the plurality of user identifiers based on a superiority criterion of each user identifier using a fuzzy set inference system.   
     
     
         12 . The method of  claim 11 , wherein:
 the at least video resume contains at least verbal content; and   the method further comprises using at least an audiovisual speech recognition process to convert the verbal content into textual data.   
     
     
         13 . The method of  claim 11 , wherein the posting data comprises a plurality of descriptive data elements pertaining to the posting generator. 
     
     
         14 . The method of  claim 11 , wherein the plurality of keywords comprises at least the plurality of descriptive data elements. 
     
     
         15 . The method of  claim 11 , wherein the method further comprises using language processing module to extract a plurality of keywords from the received posting data. 
     
     
         16 . The apparatus of  claim 11 , wherein the method includes using optical character recognition to extract the plurality of keywords from the posting data. 
     
     
         17 . The method of  claim 11 , wherein generating the keyword ranking based on the plurality of weighted values comprises using a machine learning process including a feedback loop to generate the plurality of weighted values based on training data containing at least priority feedback from the plurality of posting generators. 
     
     
         18 . The apparatus of  claim 17 , wherein the at least priority feedback from the plurality of posting generators is received from a priority feedback database containing a plurality of samples related to the keyword ranking. 
     
     
         19 . The method of  claim 11 , wherein matching a plurality of keywords to the plurality of user identifiers comprises using a machine learning classification algorithm configured to output data bins of a plurality of particular user identifiers matched to the posting data. 
     
     
         20 . The method of  claim 19 , wherein using the machine learning classification algorithm further comprises using a language processing module.