Artificial intelligence assisted hybrid enterprise/candidate employment assistance platform

Abstract

A platform for providing employment assistance services to enterprises and candidates is disclosed. For example, the platform trains, based on personal attributes of employees of multiple enterprise and work culture attributes associated with each employer of the multiple enterprises, a machine learning model that defines associations between the personal attributes and the work culture attributes. Further, the platform extracts information associated with a person from one or more sources on the Web where the person is represented, generates, based on the information associated with the person, a user profile associating personal attributes with the person, applies the user profile to the machine learning model; and receives an indication, from the machine learning model, of an employer profile that is compatible with the user profile, the employer profile including work culture attributes associated with an employer.

What is claimed is: 
     
         1 . A method, comprising:
 training, based on personal attributes of employees of multiple employers and work culture attributes associated with each employer of the multiple employers, an employee-employer compatibility model that defines associations between the personal attributes and the work culture attributes;   extracting information associated with a person from one or more sources on the Web where the person is represented;   generating, based on the information associated with the person, a user profile associating personal attributes with the person;   applying the user profile to the employee-employer compatibility model;   receiving an indication, from the employee-employer compatibility model, of an employer profile that is compatible with the user profile, the employer profile including work culture attributes associated with an employer; and   generating a notification that indicates at least one of a designation of the employer or the work culture attributes associated with the employer.   
     
     
         2 . The method of  claim 1 , further comprising:
 extracting information associated with the employer from the one or more sources on the Web where the employer is represented; and   generating, based at least in part, on the information associated with the employer, the employer profile.   
     
     
         3 . The method of  claim 1 , further comprising:
 updating the employee-employer compatibility model to account for one or more associations detected between the user profile and the employer profile.   
     
     
         4 . The method of  claim 1 , further comprising:
 extracting additional information associated with the person from at least one of a resume of the person or from a questionnaire completed by the person; and   generating the user profile based on the additional information associated with the person.   
     
     
         5 . The method of  claim 1 , further comprising:
 auditing the employee-employer compatibility model for bias by verifying that a group of recommended candidates is a representative sample of a group of all qualified candidates.   
     
     
         6 . The method of  claim 1 , further comprising:
 receiving an indication from the employee-employer compatibility model that the user profile is compatible with a plurality of employer profiles, each employer profile of the plurality of employer profiles including work culture attributes corresponding to an employer.   
     
     
         7 . The method of  claim 6 , further comprising:
 identifying job listings of the employers associated with the identified employer profiles; and   generating a notification for the person including indications of the job listings.   
     
     
         8 . A system, comprising:
 a model generator configured to train, based on personal attributes of employees of multiple employers and work culture attributes associated with each employer of the multiple employers, an employee-employer compatibility model that defines associations between the personal attributes and the work culture attributes;   an agent of the system configured to extract information associated with an employer from one or more sources on the Web where the employer is represented; and   cognitive artificial intelligence engine configured to:
 generate, based on the information associated with the employer, an employer profile including work culture attributes of the employer; 
 apply the employer profile to the employee-employer compatibility model; and 
 receive an indication, from the employee-employer compatibility model, of a user profile that is compatible with the employer profile, the user profile associating personal attributes with a person. 
   
     
     
         9 . The system of  claim 8 , wherein the profile generator is further configured to:
 extract information associated with the person from the one or more sources on the Web where the person is represented; and   generate, based on the information associated with the person, the user profile.   
     
     
         10 . The system of  claim 8 , wherein the model generator is further configured to update the employee-employer compatibility model to account for one or more associations detected between the user profile and the employer profile. 
     
     
         11 . The system of  claim 8 , wherein the cognitive AI engine is further configured to:
 receive an indication from the employee-employer compatibility model that the employer profile is compatible with a plurality of user profiles, each user profile of the plurality of user profiles associating personal attributes with a corresponding person.   
     
     
         12 . The system of  claim 8 , wherein the agent is further configured to generate a notification that indicates at least one of information identifying the person or the personal attributes. 
     
     
         13 . The system of  claim 8 , wherein the cognitive AI engine is further configured to:
 extract additional information associated with the employer from one or more job listings published by the employer; and   generate the employer profile based on the additional information associated with the employer.   
     
     
         14 . A computer-readable storage medium having program instructions recorded thereon that, when executed by at least one processing circuit of a computing device, perform a method, comprising:
 training, based on personal attributes of employees of multiple employers and work culture attributes associated with each employer of the multiple employers, an employee-employer compatibility model that defines associations between the personal attributes and the work culture attributes;   extracting information associated with a person from one or more sources on the Web where the person is represented;   generating, based on the information associated with the person, a user profile associating personal attributes with the person;   applying the user profile to the employee-employer compatibility model;   receiving an indication, from the employee-employer compatibility model, of an employer profile that is compatible with the user profile, the employer profile including work culture attributes associated with an employer; and   generating a notification that indicates at least one of a designation of the employer or the work culture attributes associated with the employer.   
     
     
         15 . The computer-readable storage medium of  claim 14 , wherein the method further comprises:
 extracting information associated with the employer from the one or more sources on the Web where the employer is represented; and   generating, based at least in part, on the information associated with the employer, the employer profile.   
     
     
         16 . The computer-readable storage medium of  claim 14 , wherein the method further comprises:
 updating the employee-employer compatibility model to account for one or more associations detected between the user profile and the employer profile.   
     
     
         17 . The computer-readable storage medium of  claim 14 , wherein the method further comprises:
 extracting additional information associated with the person from at least one of a resume of the person or from a questionnaire completed by the person; and   generating the user profile based on the additional information associated with the person.   
     
     
         18 . The computer-readable storage medium of  claim 14 , wherein the method further comprises:
 training the employee-employer compatibility model based on professional attributes of the person.   
     
     
         19 . The computer-readable storage medium of  claim 14 , wherein the method further comprises:
 receiving an indication from the employee-employer compatibility model that the user profile is compatible with a plurality of employer profiles, each employer profile of the plurality of employer profiles including work culture attributes corresponding to an employer.   
     
     
         20 . The computer-readable storage medium of  claim 20 , wherein the method further comprises:
 identifying job listings of the employers associated with the identified employer profiles; and   generating a notification for the person including indications of the job listings.