Apparatuses and methods for revealing user identifiers on an immutable sequential listing

Abstract

An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to store, using a computing device, on an immutable sequential listing, a plurality of user identifiers, wherein each user identifier of the plurality of user identifiers is associated with the same user, each user identifier of the plurality of user identifiers is associated with a plurality of action data, and each of the plurality of user identifiers is associated with a user role of the user, receive, using a computing device, information relating to an element of posting data associated with a posting generator, classify, as a function of the received information, the information to a user identifier of the plurality of user identifiers as a function of the plurality of action data associated with the user identifier and reveal the user identifier to the posting generator.

What is claimed is: 
     
         1 . An apparatus for revealing user identifiers on an immutable sequential listing to a posting generator, 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:
 store on an immutable sequential listing, a plurality of user identifiers, wherein: 
 each user identifier of the plurality of user identifiers is associated with the same user; 
 each user identifier of the plurality of user identifiers is associated with a plurality of action data; and 
 each user identifier of the plurality of user identifiers is associated with a user role of the user; 
 
 receive information relating to an element of posting data associated with a posting generator; 
 classify the received information to a user identifier of the plurality of user identifiers as a function of the plurality of action data associated with the user identifier, wherein classifying the received information to the user identifier further comprises:
 training a machine learning algorithm with training data to generate a first machine learning model, wherein the training data correlates posting information data to user action data; and 
 classifying the received information to the user identifier using the first machine learning model; and 
 
 reveal the user identifier to the posting generator. 
   
     
     
         2 . The apparatus of  claim 1 , wherein classifying the received information further comprises:
 determining, using the first machine learning model, the classification of the received information to the user identifier, wherein the received information is provided to the first machine learning model as an input to output the user identifier; and   calculating, using a second machine learning model, a relevance score for the user identifier as a function of the plurality of action data associated with the user identifier and the posting data.   
     
     
         3 . The apparatus of  claim 1 , wherein the processor is further configured to authenticate the posting generator, wherein authenticating the posting generator comprises verifying a digital certificate of the posting generator. 
     
     
         4 . The apparatus of  claim 1 , wherein the processor is further configured to decrypt the user identifier stored on the immutable sequential listing based on the authentication of the posting generator. 
     
     
         5 . The apparatus of  claim 1 , wherein revealing the user identifier comprising revealing the user identifier to the posting generator if the relevance score for the user identifier exceeds a relevance score threshold. 
     
     
         6 . The apparatus of  claim 5 , wherein revealing the user identifier comprises revealing a fixed number of user identifiers with relevance scores exceeding the relevance score threshold. 
     
     
         7 . The apparatus of  claim 5 , wherein calculating the relevance score comprises combining a plurality of sub-scores of an element of the action data and the user role of the user identifiers as a function of relevance of the posting data. 
     
     
         8 . The apparatus of  claim 7 , wherein calculating the relevance score further comprises:
 using a machine learning process to calculate the plurality of sub-scores of the element of action; and   combining the plurality of sub-scores into the relevance score.   
     
     
         9 . The apparatus of  claim 8 , wherein an input of the machine-learning process comprises the plurality of action data and user roles, and an output of the machine-learning process includes a sub-score. 
     
     
         10 . The apparatus of  claim 8 , wherein calculating the plurality of sub-scores comprises calculating each sub-score of the plurality of sub-scores using at least a compatibility criterion. 
     
     
         11 . The apparatus of  claim 1 , wherein classifying the received information comprises using a language processor to match each term of the posting data to a plurality of synonyms of terms contained in the action data and user role associated with a user identifier of the plurality of user identifiers. 
     
     
         12 . The apparatus of  claim 11 , wherein classifying the received information further comprises matching the posting data to a particular user identifier of the plurality of user identifier as function of the plurality of synonyms. 
     
     
         13 . The apparatus of  claim 1 , wherein revealing the user identifier to the posting generator comprises:
 decrypting the user identifier stored on the immutable sequential listing; and   transmitting the decrypted user identifier to the posting generator.   
     
     
         14 . The apparatus of  claim 15 , wherein transmitting the decrypted user device comprises an electronic notification on a posting generator device. 
     
     
         15 . A method for revealing user identifiers on an immutable sequential listing to a posting generator, the method comprising:
 storing, using a computing device, on an immutable sequential listing, a plurality of user identifiers, wherein:
 each user identifier of the plurality of user identifiers is associated with the same user; 
 each user identifier of the plurality of user identifiers is associated with a plurality of action data; and 
 each user identifier of the plurality of user identifiers is associated with a user role of the user; 
   receiving, using the computing device, information relating to an element of posting data associated with a posting generator;   classifying, using the computing device, the information to a user identifier of the plurality of user identifiers as a function of
 the plurality of action data associated with the user identifier, wherein classifying the received information to the user identifier further comprises:
 training a machine learning algorithm with training data to generate a first machine learning model, wherein the training data correlates posting information data to user action data; and 
 classifying the received information to the user identifier using the first machine learning model; and 
 
   revealing, using a computing device, the user identifier to the posting generator.   
     
     
         16 . The method of  claim 15 , wherein classifying the received information relating to an element of posting data to a user identifier of the plurality of user identifiers further comprises:
 calculating a relevance score as a function of the plurality of user action data and a machine learning algorithm; and   classifying the received information as a function of the relevance score.   
     
     
         17 . The method of  claim 16 , wherein calculating the relevance score further comprises:
 using at least a machine learning process to calculate a plurality of sub-scores of an element of action and user role based on relevance to the posting data; and   combining the plurality of sub-scores into the relevance score.   
     
     
         18 . The method of  claim 15 , wherein classifying the received information comprises using a language processor to match each term of the posting data to a plurality of synonyms of terms contained in the action data and user role associated with a user identifier of the plurality of user identifiers. 
     
     
         19 . The method of  claim 18 , wherein classifying the received information further comprises matching the posting data to a particular user identifier of the plurality of user identifier as function of the plurality of synonyms. 
     
     
         20 . The method of  claim 15 , wherein revealing the user identifier to the posting generator comprises:
 decrypting the user identifier stored on the immutable sequential listing; and   transmitting the decrypted user identifier to the posting generator.