31 results about "Job description" patented technology

A method is described. The method comprises: extracting one or more contents related to an organization from one or more data sources based on one or more job role names and one or more contextual inputs; determining, using an artificial intelligence engine, at least one of an organizational structure, one or more roles, one or more responsibilities, one or more hierarchical relationships, one or more access levels, one or more service actions, and one or more departments of the organization from the one or more contents; and generating, using the artificial intelligence engine, one or more job descriptions based on at least one of the organizational structure, the one or more roles, the one or more responsibilities, the one or more hierarchical relationships, the one or more access levels, the one or more service actions, and the one or more departments.

A method, system and computer program for advanced candidate evaluation and selection for recruitment processes are proposed. The method comprises collecting data concerning a recruitment process, including job description data, candidates data, and prioritization parameters regarding specific needs of the job position, the candidates data comprising, for each candidate, personal details thereof and a record of an interview; extracting information for enhancing the recruitment process by processing the collected data using natural language, and categorizing the extracted information into different domains; generating representations of the extracted information using an embedding model; calculating a similarity measure of the generated representations by comparing them with those within a same domain using comparison techniques; computing a fit percentage of each candidate to the job position by aggregating and weighting the calculated similarities based on the one or more prioritization parameters; and ranking the candidates based on the fit percentage.

A method and system for generating recommendations and personalized learning paths is disclosed. The system helps identify users' skill gaps through an Agentic AI tutor, which provides tailored instructions on the projects to build a complete portfolio and achieve job qualification. This qualification process, informed by industry standards, job descriptions, and hiring manager input, accelerates the employment by automatically recommending qualified candidate to hiring managers. In some embodiments, the method includes receiving a first set of data from a first user, generating recommendations for the first user by processing the first set of data using a non-parametric algorithm, using AI models to generate a personalized learning path for the first user based on the recommendations, providing guidance to the first user through verified activities aligned with the personalized learning path, and dynamically displaying the personalized learning path to the first user and one or more second users.

The present invention relates to the fields of Computer Science, Artificial Intelligence, Machine Learning and Deep Learning, specifically focusing on Human Resources technology, automated interviewing, and evaluation processes. The present invention discloses various embodiments of an AI-driven interview system and method enabling automated and structured interviews of various prospective candidates wherein data from structured and unstructured job description texts (201) are extracted using LLM / NLPs (706) and contextual questions are framed. The embodiments disclosed is also adapted to evaluate and assess the skill of the interview candidate (110) on one or more parameters and assign a rating (113) to the user using LLMs. The embodiments disclosed are also adapted to artificially generate video of interviewer (117), perform fraud detection (111) and incorporate redundancy for human intervention (610).

An artificial intelligence (AI)-driven system and a method for orchestrating and automating a talent acquisition process are disclosed. The AI-driven system comprises a job description generating subsystem, a resume screening subsystem, an interview link generating subsystem, an anomaly detection subsystem, a report generating subsystem, and an autonomous decision-making subsystem. The job description generating subsystem generates precise job descriptions by analyzing hiring needs of organizations The resume screening subsystem evaluates one or more resumes against pre-defined criteria in the job descriptions. The interview link generating subsystem schedules interviews by generating interview links. The anomaly detection subsystem monitors suspicious behaviors of one or more candidates during the interview. The report generating subsystem generates a comprehensive final report that consolidates all aspects of an interview process. The autonomous decision-making subsystem makes decisions at each phase of the talent acquisition process using a cognitive architecture and automatically progresses to subsequent phases.

The invention provides a multi-solver CFD self-correction method and system based on semantic orchestration, and the method comprises the steps: carrying out the retrieval and slot filling processing of multi-modal input, and generating a simulation intention intermediate representation; carrying out structured verification, default completion and mechanism examination to obtain reachability classification; mapping is established for a CFD solver, and short-distance concurrent trial running and preferential long-distance running are carried out on an equivalent example and job description compiled into a target solver through a mixed strategy; the method comprises the following steps: collecting a structured fingerprint in a running period, generating a minimum change set only reaching a necessary field when a triggering condition is established, writing back to an intention layer, and automatically recompiling and continuing running after the intention layer is formed; and introducing a physical information neural network and a digital twinborn body to provide suggestions or approximate fields, generating reports, and performing Hash signature archiving on measurement point and section data. According to the method, the correctness and the traceability are ensured, and meanwhile, the one-time runnability, the cross-solver transportability and the engineering efficiency are remarkably improved.

Exemplary systems include an AI-powered assistant that automatically analyzes available data to create a contextual framework based on the nature of the query, the persona, and the permissions of the user, allowing it to provide relevant and personalized responses to user queries. The system can also generate contextual personas based on job descriptions within an organization, respond to specific tasks associated with roles, and integrate with network appliances and flow data to embed AI-generated insights into logging streams and ensure compliance with defined policies.

The invention discloses a job configuration information adjusting method and device and electronic equipment. Relates to the distributed field, and the method comprises the following steps: determining whether there is an abnormal job in a historical job set according to a multi-tuple information table, the multi-tuple information table at least comprising a job dependence object, job execution information and job description of each historical job; under the condition that the abnormal job exists in the historical job set, adjusting the job dependence object of the abnormal job according to the job dependence object and the job execution information of each historical job in the multi-tuple information table to obtain first adjustment information; adjusting the job execution information of the abnormal job according to the target job description of the abnormal job to obtain second adjustment information; and adjusting the initial configuration information of the abnormal operation according to the first adjustment information and the second adjustment information to obtain target configuration information. Through the method and the device, the problem of relatively low efficiency of adjusting the operation configuration information in related technologies is solved.

This invention discloses a resume screening and display method and system for human resource management. It constructs a keyword-dimension mapping table based on job description text using a natural language processing engine; analyzes keyword frequency, syntactic position, modification strength, and semantic relevance to generate a job requirement intensity vector; retrieves historical recruitment data based on job meta-information to generate a historical weight vector; adaptively calculates a smoothing coefficient based on the amount of historical data; and integrates dual-source weights to generate a dynamic weight vector; standardizes the scoring of each dimension of the resume, using a normalized formula based only on valid dimensions to calculate the matching degree, avoiding score distortion caused by missing fields; and finally displays the results sorted by matching degree. This invention abandons the preset weight mode, achieving dynamic screening with a tailored approach for each job, improving matching accuracy, operational efficiency, and the quality of human-machine collaborative decision-making, providing a scientific, efficient, and transparent intelligent solution for human resource management.

This application provides a method for finding employees based on OKRs, an electronic device, a storage medium, and a program product, relating to the field of computer technology. This method integrates OKR data with departmental responsibility data into user job description data. It constructs a multi-level matching optimization logic around the employee search request, from initial matching degree to revised matching degree and then to target matching degree, combining accuracy, timeliness, and practicality tailored to actual enterprise collaboration. This method abandons the drawbacks of traditional employee search methods that rely on static information, incorporating OKR data reflecting employees' current work priorities into the core matching dimension. This ensures that the personnel matching results highly align with the enterprise's real-time business needs, fundamentally improving the matching degree. Simultaneously, by adjusting the initial matching degree through capability assessment parameters, it optimizes the matching results based on employees' actual ability levels. Furthermore, by combining organizational structure hierarchy to determine the target matching degree, it fully considers the characteristics of internal collaboration levels, optimizes collaboration paths, reduces trial-and-error costs and communication costs in cross-departmental and cross-position collaboration, thereby improving the accuracy of recommendation results.

The application relates to the technical field of talent evaluation, and discloses a multi-dimensional adaptive examination generation method and system based on a dynamic skill map. The method comprises the following steps: real-time analysis of recruitment website and enterprise job description data, extraction of atomized skill phrases containing skill names, levels and correlation degrees, and generation of unified semantic representation; obtaining a standardized skill map through a large language model and transmitting the standardized skill map to a central database through a blockchain; generating an evolution strategy based on skill node weights and user historical answering characteristics, and differentiating and executing the evolution strategy by edge nodes; selecting a target edge node and configuring a skill knowledge cache; analyzing a candidate natural language answering request to generate ability matching characteristics, determining a candidate test question set, and outputting a test paper; and updating an ability evaluation model and an evolution strategy in combination with an answering result and a response time. The application can improve the authority and reliability of the evaluation result to meet the scientific and accurate needs of enterprises for talent evaluation.

We will flexibly recruit workers for a single job posting. [Solution] The recruitment system described herein generates multiple job postings that include job descriptions and recruitment slots, with at least a portion of the job descriptions being common to all of them, and accepts applications for these multiple job postings. When predetermined conditions are met, the recruitment system adds at least a portion of the difference between the recruitment slots and the number of applicants for the first job posting, which is one of the multiple job postings, to the recruitment slots for the second job posting, which is one of the multiple job postings.

An employment investment process includes providing a performer database and populating the performer database with performer data. The performer data includes data related to job description, employment term, and / or minimum salary of an individual performer. An employer database is provided and populated with data related to available position, intended projects, and credit rating of an individual employer. A performer pledge account is assigned to the individual performer. Investors are enabled to pledge monetary funds to the performer pledge account. The performer is employed by the employer when the pledged monetary funds reach the minimum salary. The performer's salary is paid to the performer from the performer pledge account until the end of the employment term. An investment amount is paid to the investors by the employer.

An artificial intelligence (AI)-driven system and a method for orchestrating and automating a talent acquisition process are disclosed. The AI-driven system comprises a job description generating subsystem, a resume screening subsystem, an interview link generating subsystem, an anomaly detection subsystem, a report generating subsystem, and an autonomous decision-making subsystem. The job description generating subsystem generates precise job descriptions by analyzing hiring needs of organizations. The resume screening subsystem evaluates one or more resumes against pre-defined criteria in the job descriptions. The interview link generating subsystem schedules interviews by generating interview links. The anomaly detection subsystem monitors suspicious behaviors of one or more candidates during the interview. The report generating subsystem generates a comprehensive final report that consolidates all aspects of an interview process. The autonomous decision-making subsystem makes decisions at each phase of the talent acquisition process using a cognitive architecture and automatically progresses to subsequent phases.

The invention discloses a resume screening display method and system for human resource management. The method comprises the following steps: constructing a keyword-dimension mapping relation table based on a post description text through a natural language processing engine; analyzing the keyword frequency, syntactic position, modification intensity and semantic association degree to generate a post demand intensity vector; historical recruitment data are retrieved in combination with the post meta-information, and historical weight vectors are generated; self-adaptively calculating a smoothing coefficient according to the historical data volume, and fusing the double-source weight to generate a dynamic weight vector; standardized scoring is carried out on each dimension of the resume, a matching degree is calculated by adopting a normalization formula only based on effective dimensions, and score distortion caused by missing fields is avoided; and finally displaying results according to the matching degree sequence. According to the method, a preset weight mode is abandoned, one-post-one-strategy dynamic screening is realized, the matching accuracy, the operation efficiency and the man-machine collaborative decision-making quality are improved, and a scientific, efficient and transparent intelligent solution is provided for human resource management.

The invention discloses a position description generation method and device based on a large model and a storage medium. The method comprises the steps of receiving a recruitment demand text input by a user; inputting the recruitment demand text into a position description generation model to obtain a plurality of candidate position descriptions; scoring each candidate position description according to a preset scoring strategy to obtain a scoring result; and determining the candidate position description with the highest score as the optimal position description according to the scoring result, and outputting the optimal position description. According to the invention, when the position description is generated, the plurality of candidate position descriptions are firstly generated, and then the optimal position description is selected from the plurality of candidate position descriptions, so that the generation quality of the position description is prevented from being uncontrollable, the generation quality of the position description is improved, a recruiter does not need to carry out manual verification and modification, and the efficiency of the recruiter is improved. And the generation efficiency of the position description is improved.

The invention, Method to SUCCEED—Model for Students' Success through Parental Involvement, is a new department / office to support parents to help their child succeed. The components in this new department / office include: the office / setup with mission statement, job description of SUCCEED personnel, SUCCEED assistants to include volunteers, and stakeholders, letters to inform the public about SUCCEED, assistance that can be acquired through the SUCCEED office, SUCCEED Plan with a SUCCEED Plan Form, SUCCEED criteria for awards, as well as certificates for SUCCEED awards. In conclusion and with emphasis, the involvement of parents in a child's life is one of the primary indicators of future success for the child in school, activities, and life in general. This invention will support that crucial parental involvement; therefore, that is fundamentally and predominately why a Utility Patent should be considered and granted for this invention, Method to SUCCEED—Model for Students' Success Through Parental Involvement.

To provide a sentence preparation support system or the like for easily preparing a sentence related with the job contents of a job seeker.SOLUTION: According to an aspect of the present invention, there is provided a document creation assistance system including at least one processor, wherein the processor is configured to execute the following steps by reading a program, and in the receiving step, the following steps are executed via a first input screen including a first field in which job specifications of a job applicant can be input: The sentence creation support system receives an instruction to automatically create a sentence related to job specifications of a job applicant, acquires job applicant information related to the job applicant in response to receiving the instruction to automatically create the sentence, generates the sentence by an artificial intelligence module based on the job applicant information, and displays the generated sentence in a second field different from the first field on the first input screen.SELECTED DRAWING: Figure 1

A method and system to forecast the labor required for an industrial or construction job based on industry standard job classifications and key job impact factors that affect the labor required to do a job. A new job description is created for a job and matched to an industry standard job classification which has an identification of details pertaining to the industry standard job. A historical job database provides a baseline estimate of the labor required to complete the job based on the new job requirements and the baseline estimate is adjusted to provide a more accurate labor estimate by incorporating the job impact factors that impact the labor required for the job. A work digest for the job can be created and provided to a worker.

A method and system to forecast the labor required for an industrial or construction job based on industry standard job classifications and key job impact factors that affect the labor required to do a job. A new job description is created for a job and matched to an industry standard job classification which has an identification of details pertaining to the industry standard job. A historical job database provides a baseline estimate of the labor required to complete the job based on the new job requirements and the baseline estimate is adjusted to provide a more accurate labor estimate by incorporating the job impact factors that impact the labor required for the job. A work digest for the job can be created and provided to a worker.

A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions / job descriptions may be more accurately identified.

The invention relates to the technical field of natural language processing, and discloses a recruitment information and resume matching method, which comprises the following steps: firstly, converting a position description text and a resume text into vector sequences, respectively inputting the vector sequences into a recurrent neural network for encoding, aggregating position side codes into position vectors, and extracting a hidden state sequence from a resume side; segmenting the hidden state sequence according to window parameters, and obtaining collapse measurement in each segment through state derivative calculation and matrix operation; generating a time weight according to collapse measurement and adjustment parameters, and performing weighted aggregation on the hidden state sequence to obtain a resume vector; and finally, calculating the similarity between the resume vector and the position vector to obtain a matching score, comparing the matching score with a threshold parameter, and outputting a resume matching or resume mismatching result to realize inhibition and high-precision semantic matching of the resistant resume.

The invention discloses a batch job code generation method and device, electronic equipment and a program product, relates to the field of artificial intelligence, and is applied to the field of financial science and technology. The method comprises the steps that a knowledge graph is generated based on metadata, codes and job types of historical jobs; determining job description information of the target job according to the business demand, and inputting the job description information into the target classification model to obtain a job type of the target job; searching a similar job with the maximum similarity with the target job in the knowledge graph according to the job type of the target job; and inputting the job description information of the target job, the knowledge graph and the code sum of the similar job into the large model to generate a target code corresponding to the target job. Through the method and the device, the problem that the generated codes are inaccurate due to different description of batch jobs by different business personnel when the batch job codes are generated based on a large model in the related technology is solved.

This disclosure provides a dialogue-based method and apparatus for processing job data, applicable to the fields of autonomous driving, natural language processing, and information retrieval. The method includes: acquiring initial requirement information input by a target object through dialogue; displaying data feedback results representing job data, whereby the job data represents the job behavior performed by the target object in a job scenario, and the data attributes of the job data match the initial requirement information; determining job description tags corresponding to the job data based on the target object's labeled requirement intent in response to the data feedback results; and determining target job data based on the job description tags and the job data.

Embodiments of the described technologies receive, via a user interface, an input associated with a first user of a user connection network. The input identifies first position data related to a position capable of being filled by a hiring of a person. In response to validating the first position data, second position data different from the first position data is extracted from the user connection network, based on the first position data. A first prompt is formulated based on the first position data and the second position data. The first prompt is sent to a generative language model. A first piece of writing is received from the generative language model. The first piece of writing includes a position description output by the generative language model based on the first prompt. The position description is sent to the user interface in response to the input.

The present application relates to the field of post description, and more particularly to a post description automatic generation method based on deep learning, which comprises: preprocessing obtained post description text data to obtain a plurality of modules, and adding corresponding module labels to word segmentation in each module; constructing a module aggregation degree reflecting the semantic purity within the module according to the probability distribution of the words in each module; extracting the boundary local word sequence between adjacent modules and calculating the information entropy, and constructing the boundary jump degree in combination with the module aggregation degree; constructing the structure weight of each module according to the boundary jump degree and the word number proportion of each module, improving the prediction loss function of the ProphetNet model by using the structure weight as an adaptive weighting coefficient, and obtaining an improved ProphetNet model for generating post description text. The present application improves the writing efficiency and quality in the recruitment scenario.

This invention relates to the field of job descriptions, and more particularly to a deep learning-based method for automatically generating job descriptions. The method includes: preprocessing acquired job description text data to obtain multiple modules; attaching corresponding module tags to word segments in each module; constructing a module aggregation degree reflecting the semantic purity within each module based on the probability distribution of words within each module; extracting boundary local word sequences between adjacent modules and calculating information entropy, and constructing a boundary jump degree based on the module aggregation degree; constructing structural weights for each module based on the boundary jump degree and the word count ratio of each module; using the structural weights as adaptive weighting coefficients to improve the prediction loss function of the ProphetNet model, obtaining an improved ProphetNet model for generating job description text. This invention improves the writing efficiency and quality in recruitment scenarios.

Systems and methods for automatically generating job-specific resumes from a job description or an uploaded resume are provided. The system accepts a job posting link, pasted text, or an uploaded file. It parses the content with natural language processing to extract skills, qualifications, titles, certifications, and context such as seniority, location, and industry. The system selects a template from a region-aware library and assembles a resume that aligns summary, skills, experience, and education. It evaluates applicant-tracking-system compliance, keyword coverage, and readability. When a resume is provided, the system rewrites portions to improve alignment while preserving verifiable facts. It can localize content into multiple languages. A user interface allows review and editing and exports to document or structured formats and to recruitment services. The approach reduces preparation time and increases the likelihood of passing automated screening.

This application discloses a resume evaluation method, electronic device, and storage medium. The method includes: intercepting page loading data in a browser window in response to a display instruction for candidate resumes to obtain candidate resume data included in the page loading data; generating prompts corresponding to the job description information of the job to be recruited based on preset job description information; controlling the input of the prompts and candidate resume data into a preset large model to output evaluation results for each candidate resume corresponding to the candidate resume data; and displaying the corresponding evaluation results for each candidate resume when displaying them on the browser window. By utilizing a large model for resume evaluation and displaying the corresponding evaluation results when showing candidate resumes, recruiters can quickly locate high-scoring resumes, improving resume screening efficiency.

We provide information processing systems and other tools that enable the creation of high-quality job postings. [Solution] According to one aspect of the present invention, an information processing system is provided, comprising at least one processor, wherein the processor is configured to perform the following steps by reading a program: in a first job information acquisition step, first job information including a job description document relating to the organization or business of the target job is acquired; in a similar job extraction step, similar job postings similar to the target job are extracted from job postings registered in the database based on the first job information; in an analysis step, improvement suggestion information including points for improvement of the target job is created based on a comparison between the job description document and second job information representing the content of the similar job postings; and in an improvement information display control step, the improvement suggestion information is displayed.