One example method includes receiving, at a decision tree trained with a group of training observations, a group of new observations, traversing the decision tree with the new observations, calculating, for one or more nodes of the decision tree, a respective local diversity score, and aggregating the local diversity scores to create an aggregate diversity score, and the aggregate diversity score indicates an extent to which one or more of the new observations are similar, in one or more respects, to the group of training observations.

A method, apparatus, system, and computer program product for creating a forecasting model for payroll records. Payroll records are received for a group of employers. The payroll records comprise granular data parameters about employees of the group of employers. A forecasting model is created the that aligns the payroll records to high-level employment data. Creating the forecasting model includes identifying predictor variables from the granular data parameters of the payroll records. Creating the forecasting model includes generating a set of basis functions from the predictor variables. Creating the forecasting model includes combining the set of basis functions to create the forecasting model.

A method, apparatus, system, and computer program product for creating a forecasting model for payroll records. Payroll records are received for a group of employers. The payroll records comprise granular data parameters about employees of the group of employers. A forecasting model is created the that aligns the payroll records to high-level employment data. Creating the forecasting model includes identifying predictor variables from the granular data parameters of the payroll records. Creating the forecasting model includes generating a set of basis functions from the predictor variables. Creating the forecasting model includes combining the set of basis functions to create the forecasting model.

Systems, methods, and non-transitory computer-readable media can determine a user embedding for a user of a content provider based on one or more machine learning models. A job embedding for a job posting published through the content provider can be determined based on one or more machine learning models. A determination can be made of a threshold level of similarity between the user embedding and the job embedding. The job posting can be provided as a recommendation to the user through the content provider.

An apparatus for screening users. The apparatus includes a processor communicatively connected to a user device and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive verbal communication associated with a user and parse, using a chatbot, at least a user characteristic from the verbal communication. The processor also screens the user as a function of the user characteristic. Screening the user includes generating a compatibility score based on a compatibility of the at least a user characteristic and a posting and determining a confidence score wherein the confidence score comprises a quantitative value reflecting a confidence in the screening.

Disclosed herein are methods and systems to generate and communicate interactive digital receipts. In one implementation, the method may include receiving an indication of a payment transaction between a merchant and a user. Via a customer identification system, an employment profile of the user; may be determined. The employment profile of the user may be compared with one or more employment vacancies within an employment database, where the employment vacancies relate to employment at one of a location of the merchant and another merchant's location. A particular employment vacancy from among the employment vacancies may be selected. The payment processing system generates one or more interactive receipts including at least a transaction component configured to display details of the payment transaction and an employment application component configured to display the particular employment vacancy.

One or more embodiments of the present specification relates to an online interview method and system. The method includes: establishing communication connection between an interviewing terminal and an interviewed terminal through a network; and acquiring communication information between the interviewing terminal and the interviewed terminal. The communication information includes one or more types of audio information, video information, and text information. The interviewing terminal includes one or more of a first host terminal, a second host terminal, and a text processing terminal. The first host terminal is configured to host an interview, and the first host terminal displays an interview outline and/or information of the interviewed terminal. The second host terminal is configured to host the interview and/or participate in the consultation of interview questions. The text processing terminal converts the audio information and/or the audio information in the video into corresponding text information.

One or more embodiments of the present specification relates to an online interview method and system. The method includes: establishing communication connection between an interviewing terminal and an interviewed terminal through a network; and acquiring communication information between the interviewing terminal and the interviewed terminal. The communication information includes one or more types of audio information, video information, and text information. The interviewing terminal includes one or more of a first host terminal, a second host terminal, and a text processing terminal. The first host terminal is configured to host an interview, and the first host terminal displays an interview outline and/or information of the interviewed terminal. The second host terminal is configured to host the interview and/or participate in the consultation of interview questions. The text processing terminal converts the audio information and/or the audio information in the video into corresponding text information.

An interview robot that is used in the field of human resources (HR), having a camera, a microphone, an odor sensor, a speaker and touch sensors enabling communication with the interviewed candidate, a utility function determination memory, which addresses the questions to the candidate so as to determine the parameters of the utility functions for the economic, social and environmental attributes of the candidate being interviewed, and stores the utility function parameters calculated with the answers received, the nonlinear assignment program solution memory with uncertain utility functions that performs the best (optimal) job-personnel matching under different scenarios by simultaneously taking into account the situation in which employee satisfaction from the utility function determination memory varies in a mostly non-linear way in parallel with the economic, social and environmental characteristics of the candidate, and the uncertainties that may occur in employee satisfaction.

An interview robot that is used in the field of human resources (HR), having a camera, a microphone, an odor sensor, a speaker and touch sensors enabling communication with the interviewed candidate, a utility function determination memory, which addresses the questions to the candidate so as to determine the parameters of the utility functions for the economic, social and environmental attributes of the candidate being interviewed, and stores the utility function parameters calculated with the answers received, the nonlinear assignment program solution memory with uncertain utility functions that performs the best (optimal) job-personnel matching under different scenarios by simultaneously taking into account the situation in which employee satisfaction from the utility function determination memory varies in a mostly non-linear way in parallel with the economic, social and environmental characteristics of the candidate, and the uncertainties that may occur in employee satisfaction.