A technique for connecting independent contractors to clients is described. A server receives, from a first contractor device, a request to add a first independent contractor to a database including a plurality of independent contractors. The server prompts the first contractor device for information descriptive of the first independent contractor including an hourly wage for the first independent contractor. The server receives the information and adds the first independent contractor to the database and the plurality of independent contractors. The server receives, from a client device, a request to view at least a portion of the plurality of independent contractors. The server sends the client device at least the portion of the plurality of independent contractors and respective information for each independent contractor included in the portion of the plurality of independent contractors, wherein the portion of the plurality of independent contractors includes the first independent contractor.

In a computer-implemented method for information retrieval and a processing system of a computer-implemented information retrieval system, an input text is received by a Natural Language Processing, NLP, suite, wherein the NLP suite comprises a plurality of models. At least one of the plurality of models is a model trained using selected features. The selected features are determined using a feature selection process. The input text is processed by each one of the plurality of models. An intermediate representation of the input text is generated by each one of the plurality of models. An enhanced representation of the input text is generated by combining a plurality of the generated intermediate representations. Information is retrieved based on the enhanced representation of the input text.

In a computer-implemented method for information retrieval and a processing system of a computer-implemented information retrieval system, an input text is received by a Natural Language Processing, NLP, suite, wherein the NLP suite comprises a plurality of models. At least one of the plurality of models is a model trained using selected features. The selected features are determined using a feature selection process. The input text is processed by each one of the plurality of models. An intermediate representation of the input text is generated by each one of the plurality of models. An enhanced representation of the input text is generated by combining a plurality of the generated intermediate representations. Information is retrieved based on the enhanced representation of the input text.

Embodiments are directed to data ingestion over a network. Raw data and integrated data associated with a plurality of separate data sources may be provided such that the raw data includes content associated with a plurality of subjects. Categorization models may be employed to categorize the raw data based on various features, such as, format, structure, data source, variability, volume, or associated entities. Matching models may be determined based on the categorization of the of the raw data, the integrated data and the content associated with the plurality of subjects. Matching models may generate a plurality of unified facts based on the raw data and the integrated data such that each unified fact is associated with a score associated with a quality of its match with a unified schema.

Embodiments are directed to data ingestion over a network. Raw data and integrated data associated with a plurality of separate data sources may be provided such that the raw data includes content associated with a plurality of subjects. Categorization models may be employed to categorize the raw data based on various features, such as, format, structure, data source, variability, volume, or associated entities. Matching models may be determined based on the categorization of the of the raw data, the integrated data and the content associated with the plurality of subjects. Matching models may generate a plurality of unified facts based on the raw data and the integrated data such that each unified fact is associated with a score associated with a quality of its match with a unified schema.

This invention relates to the field of labor and employment, and more specifically the process and method of conducting background investigations, clearance searches, and other employee-related qualification of individuals or job applicants, and the creation of different tools and indexes linked with such process and optimization scheme. The system utilizes biometric feedback from an applicant, a downloadable App to be used at the applicant's device and the integration of tokens and statistical scores and ratings to help improve and lower the cost of the process.

This invention relates to the field of labor and employment, and more specifically the process and method of conducting background investigations, clearance searches, and other employee-related qualification of individuals or job applicants, and the creation of different tools and indexes linked with such process and optimization scheme. The system utilizes biometric feedback from an applicant, a downloadable App to be used at the applicant's device and the integration of tokens and statistical scores and ratings to help improve and lower the cost of the process.

A method for providing candidate recommendations for an open position based on problem solving proficiency and culture matching includes: receiving job posting data from a first computing system, the job posting data including employer culture markers and job criteria values; receiving candidate information for a candidate, the candidate information including candidate culture markers, text submissions, and candidate values; determining a culture match score by comparing the employer culture markers against the candidate culture markers; determining a problem solving proficiency level for the candidate by applying a problem solving algorithm to the text submissions; and transmitting a hiring recommendation for the candidate to the first computing system based on the determined culture match score and problem solving proficiency level for the candidate and the criteria values.

A method for providing candidate recommendations for an open position based on problem solving proficiency and culture matching includes: receiving job posting data from a first computing system, the job posting data including employer culture markers and job criteria values; receiving candidate information for a candidate, the candidate information including candidate culture markers, text submissions, and candidate values; determining a culture match score by comparing the employer culture markers against the candidate culture markers; determining a problem solving proficiency level for the candidate by applying a problem solving algorithm to the text submissions; and transmitting a hiring recommendation for the candidate to the first computing system based on the determined culture match score and problem solving proficiency level for the candidate and the criteria values.

A method for preparing a credential package includes providing access to a credential record of a plurality of credential records stored in a database system. The credential record includes information identifying a credential candidate and credential information associated with the credential candidate. The method further comprising receiving a credential document associated with the credential information, receiving credential document information associated with the credential document, and storing the credential document in a distributed ledger system comprising a plurality of nodes.