21 results about "Job content" patented technology

A robot fleet platform for preparing a job request includes one or more processors configured to execute instructions. The instructions include a job request ingestion system configured to receive job content relating to at least one of picking, packing, moving, storing, warehousing, transporting or delivering of items in a supply chain. The job content includes an electronic job request and related data. The instructions include a job content parsing system configured to apply filters to the received job content to identify candidate portions thereof for robot automation. The instructions include a fleet intelligence layer that activates a set of intelligence services to process terms in the candidate portions of the job content and receive therefrom at least one recommended robot task and associated contextual information. The instructions include a demand intelligence layer that provides real time information relating to a parameter of demand for the items in the supply chain.

A system is provided.SOLUTION: The system includes a means for collecting employee information and storing the information in a database, a means for collecting business contents and required personnel data and storing the data in the database, a means for analyzing the employee information and the business data by a generation AI and calculating the optimum matching of the employee and the business, a means for transmitting and displaying an appropriate arrangement proposal to a terminal, a means for collecting feedback from the terminal and storing the feedback in the database, and a means for performing re-evaluation based on the feedback and finally determining and notifying the optimum arrangement.SELECTED DRAWING: Figure 1

The application relates to a behavior time sequence-oriented work flow identification method and belongs to the technical field of computer vision. A work behavior action label library for different application scenarios is established, and behavior identification is carried out; a light-weight multi-target tracking model is constructed, and character identity identification is carried out to track characters in a video; the identity and behavior of a person are bound to obtain a behavior sequence after identity binding; a work content training label library is established, a time sequence model is used to check the work content of the behavior sequence, so that the work content of the behavior sequence is judged; a work flow check library is established, the behavior sequence with the determined work content is matched with a work flow sequence belonging to the same work content in the work flow check library, and whether the work flow of the behavior sequence conforms to standard norms is judged. The application is used for checking and judging the work flow normativeness of workers in a complex video scene by establishing a relationship chain of different targets and behaviors.

We provide an information processing system capable of generating text tailored to job seekers. [Solution] According to one aspect of the present invention, an information processing system is provided, comprising at least one processor, the processor being configured to perform the following steps by reading a program: in a reception step, first job seeker information including information about the attributes of the job seeker; in a question information extraction step, question information corresponding to the first job seeker information is extracted from reference information, the question information including a question to the job seeker and information about an example answer corresponding to the question, the reference information including a plurality of candidate question information which are pre-generated candidate question information based on accumulated job content; in an acquisition step, the answer from the job seeker to the question information is acquired; and in a job content generation step, text about the job content of the job seeker is generated using second job seeker information, the second job seeker information including the first job seeker information and the answer acquired in the acquisition step.

We provide the system. [Solution] A means for receiving the industry and job content selection from the user, Based on the aforementioned industry and business content, a means for sending a request to the server, A means for identifying the target industry from the aforementioned request content and selecting the appropriate prompt by referring to a database, A system including means for responding to the user with a selected prompt.

The invention provides a post matching degree analysis method and apparatus, and a readable storage medium. The method comprises the steps of obtaining an operation track log of a target employee in at least one business system; according to the operation track log of the target employee in the at least one business system, obtaining the proportion of the operation quantity of the target employee in each business system; and analyzing the post matching condition of the target employee according to the proportion of the operation quantity of the target employee in each business system and a preset theoretical post model. According to the method, the device and the readable storage medium, the problem that the evaluation of the employees is not accurate enough due to the lack of an objective and fair mode for judging the difference between the post work content of the employees and the actual work content in the current enterprise evaluation method can be solved.

Embodiments of the present specification provide a job content recognition model training method, a job content recognition method and device, wherein the job content recognition model training method comprises: determining task description data and sample data of a job content recognition task, wherein the sample data comprises image sample data and text sample data; inputting the sample data and the task description data into a label generation model to obtain sample labels corresponding to the sample data output by the label generation model, wherein the sample labels comprise first sample labels corresponding to the image sample data and second sample labels corresponding to the text sample data; determining target training data according to the sample data and the sample labels, and performing cross-modal training on an initial job content recognition model using the target training data to obtain a target job content recognition model, wherein the target job content recognition model is used to perform the job content recognition task. The recognition ability of the model for different modal job content is improved.

The challenge is to provide a system that enables multiple people to efficiently manage projects, share information related to projects, and organize documents related to projects. [Solution] The management device is a case management, information sharing, and document organization system that includes a work content display means which displays a list of work content display frames T1 that display registered new work content in a work content display area T, separated from other work content display frames T1, and also displays a list of work content display frames T1 that display new work content in a progress display area P, separated from other work content display frames T1, and associates the work date of the new work content with the work content display date of the new work content. Furthermore, for administrator terminals of administrators designated as workers or non-administrator terminals of non-administrators, the system includes a highlighting means which highlights the work content display frame T1 that displays the work content designated as the worker, among the work content display frames T1 displayed in the work content display area T, in a manner different from other work content display frames T1 displayed in the list.

The application provides a work record generation method, device and equipment and a storage medium. The method comprises the following steps: obtaining screenshots taken at preset intervals within a preset time; cutting out first key areas from the screenshots; performing optical character recognition on each first key area to obtain priority classification information of each first key area; determining a work duration corresponding to each priority classification information based on the number of screenshots corresponding to each priority classification information; and determining a work record of a user based on at least the priority classification information and the work duration corresponding to each priority classification information. The method can help the user to automatically record the work content in daily life, effectively reduces the time and effort of the employee when reporting work summary or performance evaluation, and thus improves the work efficiency of the employee.

We provide the system. [Solution] A means of acquiring input information and generating learning data based on job content, A means of distributing the generated training data to users and recording their learning progress, A means of analyzing recorded learning progress and making it visible to stakeholders, A system that includes this.

This job content generation device for generating, on the basis of voice data indicating voice received by a smart speaker, job content to be executed by an image formation device corrects at least one of a plurality of setting values in the job content if the plurality of setting values in the job content are a combination such that these setting values cannot be simultaneously set, so that the resulting combination of a plurality of setting values in the job content can be simultaneously set (S73).

The system according to the embodiment aims to efficiently measure the growth of new employees and mid-career employees and provide appropriate guidance. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, a training unit, a measurement unit, and a feedback unit. The collection unit collects data on the work content or progress of new employees or mid-career employees. The analysis unit analyzes the data collected by the collection unit. The training unit provides guidance or advice to elders based on the analysis results obtained by the analysis unit. The measurement unit measures the growth of new employees or mid-career employees based on the guidance or advice provided by the training unit. The feedback unit feeds back the growth results measured by the measurement unit to elders.

The invention, which relates to the technical field of artificial intelligence and educational informatization, discloses a human-intelligent collaborative operation evaluation method based on generative artificial intelligence and related equipment, and the method comprises the steps: obtaining to-be-evaluated operation content and operation evaluation setting corresponding to the to-be-evaluated operation content, when the length of the to-be-evaluated job content exceeds a context processing threshold value of the generative artificial intelligence model, performing segmentation processing on the to-be-evaluated job content to obtain a plurality of content segments, and constructing a hierarchical semantic structure; performing cross-segment correlation analysis on all content segments in the hierarchical semantic structure by utilizing a generative artificial intelligence model, and generating an initial judgment result; and according to the optimization strategy, updating operation evaluation setting for performing subsequent operation content evaluation. According to the method, automatic updating of the evaluation prompt words and the evaluation parameters in evaluation setting is realized, so that the evaluation strategy can be continuously and adaptively evolved based on teacher feedback, and the man-machine cooperation efficiency and the accuracy of long-term application are improved.

The application relates to the technical field of artificial intelligence, in particular to a scheduling optimization method and device based on artificial intelligence, computer equipment and a medium. The method processes the job content and the amount of computing resources of a to-be-optimized job through a time length prediction model to obtain a predicted job time length, obtains an upstream job corresponding to a downstream job according to a similarity calculation result of the upstream job and the downstream job in the to-be-optimized job, determines a starting time point of the corresponding downstream job according to a starting time point of the upstream job and the predicted job time length, inputs the starting time point of the downstream job, the predicted job time length and the amount of computing resources into a scheduling optimization model to obtain an optimization amount of the starting time point and the amount of computing resources of the downstream job, avoids the influence of job content change on the optimization scheduling accuracy, adjusts the scheduling time and the amount of computing resources of the downstream job according to the overall job condition, can smooth the peak value of the scheduling resource amount, reasonably allocates the computing resources and improves the efficiency of job execution.

To easily grasp a task for which support by a tool is recommended.MEANS FOR SOLVING THE PROBLEM: An information processing device includes an information acquisition unit that acquires input of task content information indicating a content of a task, a recommended task identification unit that searches the task content information with a search condition for identifying a task for which use of a tool for supporting the task is recommended, and an output unit that outputs, to a terminal device, information for displaying a screen in which a display mode of information indicating a task matching the search condition among tasks included in the task content information and a display mode of information indicating a task other than the task matching the search condition are different from each other.SELECTED DRAWING: Figure 11

We provide the system. [Solution] A means of acquiring information on each worker's work environment and job content, A means for analyzing the results of each worker using a generative model based on the acquired information, Based on the analysis results, a means of matching other workers who are improving their work performance under similar operating conditions, Means for planning and implementing education and training for associated workers to share successful methods, A means of evaluating the worker's performance in accordance with the improvement of their results, A system that includes means for presenting efficient work procedures for inventory management at logistics facilities and means for linking information processing devices.

We provide the system. [Solution] Means for collecting information from emails, communication platforms, and digital documents within an organization, A means for inputting the collected information into a natural language processing model to extract job content and skills information, A means for summarizing the extracted work content and skills information and registering it in a database, A system including means for providing an interface that allows users to view and modify the registered information.

To provide an information processing system or the like allowing a job seeker to easily use an automatic generation function.SOLUTION: According to an aspect of the present invention, there is provided an information processing system including at least one processor, wherein the processor is configured to execute the following steps by reading a program, in the generating step, an appeal sentence for appealing to a job applicant is generated according to job applicant information related to a job seeking activity of the job applicant, in the transmitting step, appeal information including the appeal sentence is transmitted, and the appeal information includes link information to an automatic generation function of a sentence related to job specifications of the job applicant.SELECTED DRAWING: Figure 1

This invention provides a method and system for quantifying and evaluating individual employee workload, belonging to the field of employee workload management technology. By proposing the WU decomposition method for the first time, it classifies and breaks down various complex tasks in the R&D and management processes into multi-level, standardized categories, defining the smallest quantifiable work unit. This transforms abstract work content that was originally difficult to measure into calculable WU values. A comprehensive individual evaluation system covering multiple dimensions such as "workload saturation, workload, work status, work ability / efficiency, work attitude, and overtime" is constructed. This breaks through the limitations of traditional evaluations that only focus on work completion, providing organizations with a comprehensive and three-dimensional data profile of individual employee performance. It not only improves the efficiency of data entry and processing, but more importantly, it bridges the information gap between evaluation data and actual work data, achieving efficient collaboration between work execution and work evaluation.

We provide an information processing system capable of generating text tailored to job seekers. [Solution] According to one aspect of the present invention, an information processing system is provided, comprising at least one processor, the processor being configured to perform the following steps by reading a program: in a reception step, first job seeker information including information about the attributes of the job seeker; in a question information extraction step, question information corresponding to the first job seeker information is extracted from reference information, the question information including a question to the job seeker and information about an example answer corresponding to the question, the reference information including a plurality of candidate question information which are pre-generated candidate question information based on accumulated job content; in an acquisition step, the answer from the job seeker to the question information is acquired; and in a job content generation step, text about the job content of the job seeker is generated using second job seeker information, the second job seeker information including the first job seeker information and the answer acquired in the acquisition step.