The computerized staffing platform includes a staffing server with a processor configured to store data indicating available shifts from third-party businesses and data indicating employees of the platform registered to fulfill the available shifts. The processor is configured to receive a request from a particular business to fulfill a target available shift, and determine candidate employees to fulfill the target available shift. The processor is configured to compute a predicted labor burden associated with hiring each candidate employee for the target available shift, including whether the candidate employee has exceeded an income threshold after which a labor burden factor no longer applies. The processor is further configured to send, to the particular business, a list of the candidate employees and the predicted labor burden for each candidate employee, receive a selection of a candidate employee, and send, to the selected candidate employee, an offer to fulfill the available target shift.

The computerized staffing platform includes a staffing server with a processor configured to store data indicating available shifts from third-party businesses and data indicating employees of the platform registered to fulfill the available shifts. The processor is configured to receive a request from a particular business to fulfill a target available shift, and determine candidate employees to fulfill the target available shift. The processor is configured to compute a predicted labor burden associated with hiring each candidate employee for the target available shift, including whether the candidate employee has exceeded an income threshold after which a labor burden factor no longer applies. The processor is further configured to send, to the particular business, a list of the candidate employees and the predicted labor burden for each candidate employee, receive a selection of a candidate employee, and send, to the selected candidate employee, an offer to fulfill the available target shift.

Systems and methods to connect care seekers with care providers for caretaking needs are disclosed. Exemplary implementations may: store seeker profiles for care seekers and/or provider profiles for care providers; present a user interface configured to facilitate generation of individual provider profiles; receive care seeker-defined characteristics of potential care providers; generate new individual provider profiles for individual potential care providers; and/or perform other operations.

Provided is a system and method for generating job posting content through machine learning. In one example, the method may include storing text content of previous postings, receiving target attributes of a candidate that is a subject of a new posting, identifying, via a machine learning model, a subset of previous postings from among the previous postings which are most closely related to the new posting based on the target attributes of the candidate with respect to content of the previous postings, and detecting text objects from the identified subset of previous postings and outputting a display of the detected text objects.

In some implementations, a device may obtain interaction data for an evaluator in a communication session with an individual based on interactions of the evaluator with the individual during the communication session, wherein the evaluator is to provide the evaluation of the individual. The device may obtain evaluation information identifying the evaluation of the individual by the evaluator. The device may determine a degree of bias of the evaluator toward the individual during the communication session based on at least the interaction data. The device may adjust the evaluation of the individual based on the degree of bias of the evaluator.

There is provided an information processing apparatus including a processor that generates a plurality of pieces of authority information for obtaining user information classified into a plurality of categories, in which the processor generates the authority information to correspond to each of a plurality of the categories.

An example method for gathering a plurality of data sets for a particular process is provided. Each data set indicates transitions between different stages for a corresponding occurrence of the particular process. The method includes generating stage transition data based on the plurality of data sets. The stage transition data indicates an aggregate value for each distinct transition. The method includes determining a root stage based on the plurality of data sets. The method includes selecting each additional stage in the pipeline of stages. Each additional stage is sequentially selected based on a dynamically determined path constructed to reduce a value of a cost function. The method includes selectively modifying the pipeline of stages responsive to detecting an improvement to the value of the cost function. The method also includes generating a command to perform the particular process using the modified pipeline of stages.

In an example embodiment an approximate nearest neighbor framework is provided to query user activity data to find users who are similar to users who have been “matched” to a particular piece of content but who otherwise would not have been matched on their own. The users who have been matched may be called a seed set of users, which are known in real-time, or near-real-time. Use of the approximate nearest neighbor framework allows the system to expand instantly the initial seed set of users to other similar users to rapidly distribute relevant pieces of content to active users, increasing liquidity of the system. Additionally, the target set of specific users to which a notification is sent about the pieces of content can also be expanded, increasing the recall rate.

Aspects relate to apparatuses and methods for linking posting data to a plurality of user identifiers. An exemplary apparatus includes a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive a plurality of user identifiers relating to a plurality of users, receive posting data from a posting generator of a plurality of posting generators, identify a plurality of keywords within the posting data, generate a keyword ranking, match a plurality of keywords of the keyword ranking to the plurality of user identifiers, and generate, as a function of the matching, a ranking of the plurality of user identifiers based on a superiority criterion of each user identifier using a fuzzy set inference system.

A method for facilitating employee selection of one or more health insurance products includes displaying specific defined contribution amounts for health insurance products; receiving, from the user, input corresponding to selection of a health insurance product; displaying, to the user, information regarding the selected insurance product including an estimated cost of a plan including the selected health insurance product, a coupon amount the cost of the plan will be discounted based on a specific defined contribution amount for the class of the selected health insurance product, a lump sum defined contribution amount the cost of the plan will be discounted, and an estimated monthly cost after the coupon amount and lump sum defined contribution amount are applied.