Apparatus and method for attribute data table matching

Abstract

In an aspect an apparatus for attribute data table matching is presented. An apparatus includes at least a processor. An apparatus includes a memory communicatively connected to at least a processor. A memory contains instructions configured at least a processor to receive an attribute data table from a user. A processor is configured to query an opportunity posting database as a function of a received attribute data table. A processor is configured to select an opportunity posting of an opportunity posting database as a function of at least an attribute data table criterion. A processor is configured to match an attribute data table to an opportunity posting as a function of at least an attribute data table criterion. A processor is configured to provide a match of an attribute data table to a user.

What is claimed is: 
     
         1 . An apparatus for attribute data table matching, 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 an attribute data table from a user, wherein the attribute data table comprises at least a media item; 
 extract a plurality of content elements from the at least a media item; 
 classify each content element of the plurality of content elements to an object of a plurality of objects; 
 identify a media theme correlated to the at least a media item as a function of the plurality of objects, wherein the media theme comprises a principal theme; 
 generate an index classifier using media training data comprising the at least a media item and the media theme correlated to the at least a media item; and 
 match the attribute data table to an opportunity posting of an opportunity posting database utilizing the index classifier. 
   
     
     
         2 . The apparatus of  claim 1 , the memory containing instructions further configuring the at least a processor to:
 receive a user input through a graphical user interface; and   identify the principal theme of the media theme as a function of the user input.   
     
     
         3 . The apparatus of  claim 2 , wherein the memory containing instructions further configuring the at least a processor to utilize a speech recognition model to generate the attribute data table as a function of the user input. 
     
     
         4 . The apparatus of  claim 1 , wherein classifying each content element of the plurality of content elements to an object of a plurality of objects further comprises determining a prevalence of an object of the plurality of objects. 
     
     
         5 . The apparatus of  claim 1 , wherein classifying each content element of the plurality of content elements to the object of the plurality of objects comprises classifying using a visual object classifier trained with an image classification training set comprises geometric forms and correlated labels of objects. 
     
     
         6 . The apparatus of  claim 1 , wherein classifying each content element of the plurality of content elements to the object of the plurality of objects comprises classifying using a linguistic object classifier trained with a linguistic classification training set comprises textual data and correlated labels of objects. 
     
     
         7 . The apparatus of  claim 1 , wherein the memory containing instructions further configuring the at least a processor to:
 query the opportunity posting database as a function of the attribute data table and a target video resume;   receive a plurality of possible opportunity postings from the opportunity posting database as a function of the query; and   select the opportunity posting of the opportunity posting database as a function of at least an attribute data table criterion.   
     
     
         8 . The apparatus of  claim 7 , wherein querying the opportunity posting database further comprises giving a weight to each attribute of the attribute data table based on prior queries. 
     
     
         9 . The apparatus of  claim 7 , wherein the memory containing instructions further configuring the at least a processor to generate a query using a fuzzy logic system to query the opportunity posting database by comparing a first fuzzy set comprising the attribute of the attribute data table and a second fuzzy set comprising a value that is represented by the first fuzzy set. 
     
     
         10 . The apparatus of  claim 1 , wherein the memory containing instructions further configuring the at least a processor to provide a ranked list of attribute data table matches to the user as a function of a user preference. 
     
     
         11 . A method for attribute data table matching, comprising:
 receiving, using at least a processor, an attribute data table from a user, wherein the attribute data table comprises at least a media item;   extracting, using the at least a processor, a plurality of content elements from the at least a media item;   classifying, using the at least a processor, each content element of the plurality of content elements to an object of a plurality of objects;   identifying, using the at least a processor, a media theme correlated to the at least a media item as a function of the plurality of objects, wherein the media theme comprises a principal theme;   generating, using the at least a processor, an index classifier using media training data comprising the at least a media item and the media theme correlated to the at least a media item; and   matching, using the at least a processor, the attribute data table to an opportunity posting of an opportunity posting database utilizing the index classifier.   
     
     
         12 . The method of  claim 11 , further comprising:
 receiving, using the at least a processor, a user input through a graphical user interface; and   identifying, using the at least a processor, the principal theme of the media theme as a function of the user input.   
     
     
         13 . The method of  claim 12 , further comprising:
 generating, using the at least a processor, the attribute data table as a function of the user input utilizing a speech recognition model.   
     
     
         14 . The method of  claim 11 , further comprising:
 determining, using the at least a processor, a prevalence of an object of the plurality of objects.   
     
     
         15 . The method of  claim 11 , further comprising:
 classifying, using the at least a processor, each content element of the plurality of content elements to the object of the plurality of objects using a visual object classifier trained with an image classification training set comprises geometric forms and correlated labels of objects.   
     
     
         16 . The method of  claim 11 , further comprising:
 classifying, using the at least a processor, each content element of the plurality of content elements to the object of the plurality of objects using a linguistic object classifier trained with a linguistic classification training set comprises textual data and correlated labels of objects.   
     
     
         17 . The method of  claim 11 , further comprising:
 querying, using the at least a processor, the opportunity posting database as a function of the attribute data table and a target video resume;   receiving, using the at least a processor, a plurality of possible opportunity postings from the opportunity posting database as a function of the query; and   selecting, using the at least a processor, the opportunity posting of the opportunity posting database as a function of at least an attribute data table criterion.   
     
     
         18 . The method of  claim 17 , further comprising:
 giving, using the at least a processor, a weight to each attribute of the attribute data table based on prior queries.   
     
     
         19 . The method of  claim 17 , further comprising:
 generating, using the at least a processor, a query using a fuzzy logic system to query the opportunity posting database by comparing a first fuzzy set comprising the attribute of the attribute data table and a second fuzzy set comprising a value that is represented by the first fuzzy set.   
     
     
         20 . The method of  claim 11 , further comprising:
 providing, using the at least a processor, a ranked list of attribute data table matches to the user as a function of a user preference.