Methods, apparatus, systems, and computer program products are disclosed for utilizing specially configured machine learning models to generate incremental currency value(s) associated with one or more target merchant data objects. Some embodiments, based on one or more market record sets, identify an actual electronic currency value for a total merchant data object set, and include a counterfactual model configured to generate a counterfactual electronic currency value for use in determining a counterfactual incremental electronic currency impact, and in some embodiments for ranking other models. Embodiments, additionally or alternatively, include an incrementality-trained ensemble model for generating a predictive incremental electronic currency impact. The incrementality-trained ensemble model may be trained to predict based on the rankings of the outputs of the counterfactual model. Embodiments may further rank target merchant data objects and perform one or more additional actions, including assigning the target merchant data objects to sales account data structures for management.

Methods, apparatus, systems, and computer program products are disclosed for utilizing specially configured machine learning models to generate incremental currency value(s) associated with one or more target merchant data objects. Some embodiments, based on one or more market record sets, identify an actual electronic currency value for a total merchant data object set, and include a counterfactual model configured to generate a counterfactual electronic currency value for use in determining a counterfactual incremental electronic currency impact, and in some embodiments for ranking other models. Embodiments, additionally or alternatively, include an incrementality-trained ensemble model for generating a predictive incremental electronic currency impact. The incrementality-trained ensemble model may be trained to predict based on the rankings of the outputs of the counterfactual model. Embodiments may further rank target merchant data objects and perform one or more additional actions, including assigning the target merchant data objects to sales account data structures for management.

A compound social network site can manage complex organizational entities, such as businesses, via a compound social network graph. Nodes of the compound social network graph are connected by compound edges which correspond to multiple tiers of profile data of the organizational entities.

A system and method are disclosed for training a machine learning model using information pertaining to job titles. Training data for the machine learning model is generated. Generating the training data includes generating first training input including information identifying the job titles associated with organizations, and generating a first target output for the first training input. The first target output identifies an indication of job families. A job family identifies a category of personnel positions that are categorized based on one or more characteristics that are shared between the personnel positions of the category. The training data to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output is provided.

A system and a computer-implemented method of managing building wellness. The method may include the steps of: obtaining wellness parameters for a building (e.g., an office building) having an occupant(s); processing the wellness parameter to determine a current wellness index for the building and, based on the current wellness index, sending a message regarding the current wellness index to a recipient(s) (e.g., a building occupant), displaying the current wellness index for a user(s), and/or identifying a remediation action(s) to improve the current wellness index.

A system and a computer-implemented method of managing building wellness. The method may include the steps of: obtaining wellness parameters for a building (e.g., an office building) having an occupant(s); processing the wellness parameter to determine a current wellness index for the building and, based on the current wellness index, sending a message regarding the current wellness index to a recipient(s) (e.g., a building occupant), displaying the current wellness index for a user(s), and/or identifying a remediation action(s) to improve the current wellness index.

The method, system and a computer program and a computer product for managing workers and documents is provided. The method includes storing industry representations and a list of workers with data related to the workers, linking the industry representations to the workers and selecting at least one worker from based on the industry representations for that worker. The method also includes scheduling workers to a job based on whether they have all of the required industry representations. In addition, the method includes uploading industry representations and bar code scanning industry representations into the database. The method further includes dispatching said industry representations to other users and automatically mapping fields of the dispatched data in the destination database. In addition, the method includes selectively encrypting only sensitive fields in data transmission between two entities.

The present application relates to a method for managing and controlling a system permission, a data center, a management and control apparatus, and a storage medium. The method for managing and controlling a system permission includes: obtaining personnel change information, wherein the personnel change information includes personal information of a changed person and information about a position change mode of the changed person; obtaining a current permission interface of the changed person based on the personal information; determining, based on the permission interface, whether the changed person has an operation permission for a current object system; if the changed person has the operation permission for the current object system, determining whether the position change mode of the changed person is transfer; sending a notification message if the position change mode of the changed person is the transfer..

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.

A system and method for employee retention includes determining an employee's happiness level by analysis of their attire from a captured image. Image capture and employee identification is commenced when an employee uses their employer ID to enter a work premises. Captured images are analyzed for attire content. Attire content is categorized and analyzed relative to other fashion images to gage an employee's likes or dislikes, along with their happiness level. Remedial suggestions are generated when a happiness level falls below a set threshold level. Remedial suggestions may include gifts personal to an employee as determined from their attire. Captured images and web data are subject to artificial intelligence and machine learning to continuously improve analysis and recommendations.