129 results about "User assessment" patented technology

The invention discloses a data-driven cross-domain intelligent asset knowledge reasoning and value evaluation method and system, and relates to the technical field of intelligent assets, and the method comprises the steps: extracting multi-domain data features of intelligent assets based on a deep learning model, and constructing a cross-domain intelligent asset knowledge graph; analyzing a user evaluation target based on a pre-trained language model, retrieving related assets in a knowledge graph, and performing knowledge reasoning by using an attention mechanism and a graph reasoning algorithm; and on the basis of the value evaluation model of reinforcement learning training, a final evaluation value and an evaluation report containing a confidence interval are generated in combination with a time sequence prediction algorithm. According to the method, multi-source heterogeneous data can be effectively fused, knowledge reasoning and value evaluation of cross-domain intelligent assets are realized, and the evaluation efficiency and accuracy are improved.

The invention discloses a dual-prevention intelligent interaction system based on a large language model, and belongs to the technical field of artificial intelligence. The system comprises a big language base model, a knowledge base management module, an agent module, a multi-modal big model and an evaluation module, and the big language base model understands user intentions and processes natural language tasks and provides token processing capacity for other modules; the knowledge base management module is used for classified storage and management of professional knowledge, establishing indexes according to semantics and finally performing localized storage; the intelligent agent module is used for analyzing input of a user, and different workflows are packaged in different intelligent agents so as to provide personalized services for the user; the multi-modal large model module receives voice input by a user, converts the voice into characters, transmits description of information to the Agent, generates answers by analyzing semantics, converts the characters into the voice and sends the voice to the user; the evaluation module establishes an evaluation index system from the four aspects of accuracy, answer correlation, context correlation and context recall rate.

The subject matter described herein includes methods, systems, and computer readable media for early detection of a neurodevelopmental or psychiatric disorder using scalable computational behavioral phenotyping. According to one method for early detection of a neurodevelopmental or psychiatric disorder using scalable computational behavioral phenotyping includes obtaining user related information, wherein the user related information includes metrics derived from a user interacting with one or more applications executing on at least one user device; generating, using the user related information and a machine learning based model, a user assessment report including a prediction value indicating a likelihood that the user has a neurodevelopmental or psychiatric (neurodevelopmental / psychiatric) disorder and a prediction confidence value computed using relative contributions of the metrics to the prediction value generated using the machine learning based model; and providing the user assessment report to a display or a data store.

A computing platform may train, using historical information access pattern information, a machine learning model to identify unauthorized information access patterns. The computing platform may obscure internal traffic pattern information, and monitor access of the obscured internal traffic pattern information. The computing platform may generate, by inputting information of the access into the machine learning model, a user evaluation output, and may compare the user evaluation output to a first user evaluation threshold. Based on identifying that the user evaluation output meets or exceeds the first user evaluation threshold, the computing platform may modify traffic routing rules corresponding to the user, which may cause activity by the user to be routed to a secure sandbox for further analysis.

A method and system for dynamic skills assessment. Digital indicators are used with dynamic skill assessment indicators to indicate plurals type of skill sets assessed, plural levels of skill sets completed, plural expiration times and dates for the plurals type of skill set assessment completed and plurals levels of skill assessment completed, plural unique identifiers for plural users who completed the plural skill set assessments and plural identifiers for plural network devices on which the plurals skill sets were assessed for the plural users. The dynamic skill assessment indicators include plural different indicators including graphical, audio, video, text and / or haptic dynamic skill assessment indicators that dynamically are changed to different colors, shapes, sizes, sounds, videos, feelings, etc., when new skills sets are achieved and when existing skill sets expire.

The invention provides a physical examination intelligent guide system and method based on a knowledge graph, and belongs to the technical field of medical treatment. Comprising a knowledge graph construction module, a personalized recommendation module, an examination guide decision module and a display module, and the knowledge graph construction module is used for integrating information from various sources such as medical literature, disease guidelines, clinical cases and physical examination data. According to the invention, the intelligent inspection guiding system is combined with the knowledge graph, data such as personal basic information, health conditions, family history and life styles are input, the risk assessment module is used for analyzing user data, and potential health risks are assessed for users by combining existing health risks and disease models in the knowledge graph. And on the basis of an artificial intelligence algorithm and a process rule, an optimal and shortest queuing route is planned, the customer is guided to complete all physical examination orderly in real time in the whole process, the most reasonable physical examination process is arranged for the user, physical examination is completed in the shortest time, and therefore the user satisfaction degree is improved.

The invention provides an examination system suitable for pathology teaching, which is based on a pathology database, combines with examination key points, automatically generates examination papers, answers and submits the examination papers based on identity information of users, and combines with a multimedia technology and a remote teaching means based on the pathology database. Pathology simulation practice operation is designed for online practice of a user, and a practice operation result is obtained; based on the test paper result and the practical operation result, performing pathological knowledge mastering evaluation on the user to obtain a user evaluation result; the problem that a traditional examination form is difficult to comprehensively evaluate learning results of students is solved, the examination system suitable for pathology teaching can provide diversified evaluation means, learning conditions of the students can be more comprehensively understood by comprehensively evaluating knowledge mastering degrees of the students, and meanwhile, by means of a multimedia technology and a remote teaching means, the learning results of the students can be comprehensively evaluated. More practical opportunities are provided for students, observation and analysis experience of the students on pathological specimens is increased, and practical operation ability is improved.

The invention discloses a digital human intelligent recommendation and decision-making auxiliary system which provides personalized suggestions and solutions for historical behaviors, preferences and current situations of a user by using big data analysis and an artificial intelligence algorithm. The system comprises a user behavior analysis module which is used for deeply mining user behavior data and constructing a preference model; the situation awareness module monitors the environment where the user is located in real time and obtains related information; the personalized recommendation engine is used for generating a recommendation list in combination with user preferences and real-time situations; the decision-making auxiliary tool provides decision-making support to help the user to evaluate different selections; and a feedback learning mechanism is adopted, so that the system can perform self-optimization according to user feedback. In addition, the system particularly pays attention to user privacy protection and ensures data security. The system has wide application value in multiple fields such as shopping, travel, occupational planning and the like, can significantly improve the decision-making quality and life experience of the user, and has huge market potential and practical application significance.

The embodiment of the invention provides an insurance product recommendation method and device, electronic equipment and a storage medium, belongs to the technical field of intelligent recommendation, and is suitable for the field of financial science and technology. The method comprises the following steps: acquiring user insurance policy information of an insurance reference user, and acquiring basic user information of a target user; performing information extraction on the user insurance policy information to obtain user insurance information and user credit information; based on the basic user information, performing information query on the user insurance information to obtain user associated insurance information; performing information query on the user credit information based on the basic user information to obtain user associated credit information; based on the user associated credit information, performing credit assessment on the target user to obtain a user assessment category, the user assessment category including a trusted user category; and based on the trusted user category and the user associated insurance information, performing insurance recommendation on the target user. According to the embodiment of the invention, the accuracy of insurance product recommendation can be improved.

The invention discloses a user ability evaluation method, medium and system, and the method comprises the steps: obtaining original answer data, calculating a corresponding score standard deviation, and generating standardized score data; obtaining a user answering behavior log, and calculating a redo rate corresponding to user evaluation based on the user answering behavior log; judging whether a fluctuation factor can be constructed or not; if yes, calculating a fluctuation factor, and generating a normalized vector according to the standardized score data and the fluctuation factor; constructing a fluctuation derivative based on a behavior fluctuation sequence generation mechanism of the sliding window; judging whether the fluctuation derivative meets a dynamic adjustment condition or not; if yes, performing dynamic weighted fusion based on the fluctuation derivative and the normalized vector to obtain a final risk score; and if not, performing static weighted fusion based on the normalized vector to obtain a final risk score. The user capability can be effectively evaluated, the volatility of the user in the evaluation process is effectively evaluated, and the accuracy of the evaluation result is improved.

The invention discloses an evaluation report automatic generation system and method. The method comprises the following steps that data keywords are obtained according to a survey data table; matching the report template, and generating an evaluation data report; inputting the data keywords into a Genius model to obtain a text report, and detecting and adjusting the text report by using grammar rules to obtain an evaluation text report; combining the evaluation data report and the evaluation text report to obtain an evaluation report; if any survey data is modified, updating other survey data according to the data association table, obtaining an updated survey data table, and repeating the steps S1-S3 to obtain a final edition evaluation report; the user evaluates the final edition evaluation report to obtain score information, and the report generation process is adjusted; according to the method, the text report is obtained through the data keyword, and the grammatical rule is utilized to adjust the text report, so that the content of the evaluation report is more flexible and more targeted, manpower and material resources are saved, the content quality of the evaluation report is guaranteed, and the application range of the automatic report generation method is expanded.

To provide a method for multilaterally evaluating the skill of registered personnel.SOLUTION: In a user evaluation method for evaluating a user, a system executes an input information receiving step of receiving input information including information on a biography of the user, a question output step of creating a question based on the input information using the input information and outputting the question, a response receiving step of receiving response information from the user regarding the question, and a user analysis step of analyzing a feature of the user based on the input information and the response information and obtaining analysis information of the user.SELECTED DRAWING: Figure 2

The invention discloses a customer data analysis system and method based on big data. The customer data analysis system comprises an acquisition module, a storage module, an analysis module and a comparison module, the acquisition module acquires server information and user information, the server information comprises server push information and online information, the user information comprises user online information and benefit conversion information, and the information is transmitted to the storage module after acquisition; the storage module stores the information and transmits the information to the analysis module; and the analysis module receives the data, and transmits an accurate evaluation coefficient generated by server push information and online information and a user evaluation coefficient generated by user retention information and benefit conversion information to the comparison module for comparison. According to the video pushing method and device, the accuracy degree of video pushing is analyzed, when the accuracy degree of video pushing becomes poor, video pushing is updated in advance, then the importance degree of the user is analyzed, video pushing is conducted on the user with the high importance degree in a preferential batch mode, and the experience feeling of important users is improved.

Computer implemented biometric methods and systems incorporate sensing biophysical phenomena, translating the phenomena into digital data and transmitting the data to a series of servers operating in an open feedback loop to generate a module. A biometric networking system can include a biometric monitoring cloud computing platform with AI / machine learning augmented models are generated to make user assessments, programs and confidence scores to the healthcare provider systems. The AI / machine learning models can be used by the biometric monitoring network to generate health-related AI processes that analyze relationships treatment techniques and outcomes. AI techniques can be used to calculate movement modeling and confidence scoring including support vector machines, neural networks, and decision trees. The biophysical phenomena may include biometric parameters based on data, such as medical history, exertion, sleep, temperature, cardiovascular events, respiratory events, and muscle and blood pH.

An input device assesses an object in a field of view using multi-wavelength reflectance spectroscopy to determine if the object is an actual user or an artifact. Light sources are operated to illuminate an object. For example, the object may be illuminated with white, violet, and infrared light simultaneously. A spectrometer comprising a plurality of detectors, each with associated wavelength filters determines intensity data indicative of intensity of light of these different colors as reflected from the object. The intensity data is processed to determine whether the object is part of a user or is an artifact. For example, if the object is deemed to be a user, biometric input may be acquired. The biometric input may then be processed to identify the user. The input device may be used at various locations, such as at an entry portal, point of sale, under direct solar illumination, and so forth.

This invention discloses a dual-prevention intelligent interaction system based on a large language model, belonging to the field of artificial intelligence technology. The system includes a large language foundation model, a knowledge base management module, an agent module, a multimodal large model, and an evaluation module. The large language foundation model understands user intent and processes natural language tasks, and provides token processing capabilities for other modules. The knowledge base management module is used to classify, store, and manage professional knowledge, establish indexes based on semantics, and finally store it locally. The agent module analyzes user input, with different workflows encapsulated within different agents to provide personalized services to users. The multimodal large model module receives user-input speech, converts the speech to text, transmits the information description to the agent, generates answers through semantic analysis, and converts the text back to speech to send to the user. The evaluation module establishes an evaluation index system from four perspectives: accuracy, answer relevance, context relevance, and context recall.

This invention provides a method, device, electronic device, and storage medium for mental health intervention. The method includes: acquiring user assessment behavior characteristic data, including consistency scores for answers, reasonableness scores for completion time, and regularity scores for response patterns; determining a credibility index based on the assessment behavior characteristic data, determining a warning level based on the credibility index, and determining a preset first intervention strategy based on the warning level; after the preset first intervention strategy is applied to the user, acquiring user characteristic data and forming a user characteristic vector based on the user characteristic data; assigning a corresponding preset second intervention strategy to the user through a trained classification model and the user's clustering categories for psychological intervention, acquiring intervention effect labels, and stopping the push of the preset second intervention strategy to the user if the levels of several pre-effect labels are lower than the preset label levels. This method can improve the effectiveness of mental health intervention.

1. The name of the design product: electronic device with flow visualization of aerodynamic characteristics calculation graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. Omitted views: the electronic device is a common design, and other views are omitted. 6. The use of the graphical user interface: to help users evaluate, optimize, and understand the aerodynamic characteristics of components through flow visualization technology. 7. The human-computer interaction mode of the graphical user interface: click "movable component" in the view, import the model, and enter interface change state diagram 1; in interface change state diagram 1, click the "flow visualization" button, and enter interface change state diagram 2. 8. Other circumstances that need to be explained: "X" in the interface represents replaceable text, numbers, letters, or symbols.

The present application discloses a big-data-based bank user risk early warning method and device, which relates to the financial field. The method includes: receiving a service handling request submitted by a user; obtaining dynamic data of the user authorized by the user and a third-party institution according to the service handling request; performing data cleaning and data governance on the dynamic data to obtain evaluation data of the user; determining a risk evaluation result of the user according to the evaluation data and a pre-created risk early warning model; wherein the risk early warning model is pre-trained according to the dynamic data of multiple users and corresponding ones. The present application performs user risk assessment based on the dynamic data of the user, solves the shortcoming problem of the existing dynamic assessment method for bank customer risk early warning, and provides a more dynamic, vivid, real-time and highly valuable, brand-new way for user assessment in the process of bank service handling.

A system performs assessment of users based on a simulated meeting. The system stores video segments in a database. The system retrieves an execution plan for a simulated interaction with a user. The execution plan comprises instructions for a plurality of video interactions. Each video interaction comprises either displaying one or more pre-recorded video segments selected from a plurality of pre-recorded video segments or a live video stream of the user. The system repeatedly performs the following steps according to the execution plan of the simulated interaction. The system performs a sequence of video interactions. A video interaction may comprise sending a set of pre-recorded video segments for display via a user interface. In response to the sequence of video interactions, the system performs a second video interaction by recording a live video stream of the user. The system analyzes the simulated interaction to evaluate the user.

The invention discloses a user skill portraying method and system for electric power simulation training. According to the method, user operation behaviors in electric power simulation training are comprehensively collected and analyzed, a multi-dimensional user portrait is generated, dynamic scoring is performed according to actual performance of a user, and finally comprehensive evaluation of user operation capability and skill portrait display are realized. According to the scheme of the invention, more efficient, accurate and fair user evaluation is provided.

A method may include obtaining a request for a user to perform a user assessment. The method may further include obtaining first image data regarding the user. The method may further include obtaining second image data regarding a user credential of the user. The method may further include determining, automatically by a user device, whether the user is authorized to perform the user assessment based on an analysis of the first image data and the second image data. The method may further include generating, in response to determining that the user is authorized to perform the user assessment, a virtual reality (VR) space based on the user assessment.

A system is provided.SOLUTION: A system comprising: means for acquiring a proposal generated by generation means; means for visualizing the generated proposal using augmented reality technology; and means for evaluating the visualized proposal by a user.SELECTED DRAWING: Figure 1

The invention provides an intelligent mirror, a rehabilitation training system and a rehabilitation training method. The intelligent mirror comprises a mirror surface display module, a camera module, an audio module and a processor. And the processor acquires user disease data through the cloud and / or displays a pathological type through the mirror display module, and acquires the user disease data according to a user instruction. And the processor generates an evaluation item according to the user disease data, issues a corresponding evaluation instruction through the mirror display module and / or the audio module to obtain user evaluation data, and generates an evaluation report. Besides, the processor also generates a training scheme according to the evaluation report, issues a corresponding training instruction through the mirror display module and / or the audio module, obtains a user training action through the camera module and / or the audio module, and generates a training report according to the user training action. Evaluation and training are carried out through the intelligent mirror, a patient can obtain efficient, convenient and personalized rehabilitation experience at home, and occupation of medical resources is reduced.

The present application discloses a change impact assessment method and device based on a knowledge graph. When a change instruction sent by a user is received, the change instruction is parsed to obtain the change subject. From the graph database, a knowledge graph with the same operation and maintenance field as the operation and maintenance field involved in the change subject is selected as the target knowledge graph. From the target knowledge graph, search for entities with the same name as the name of the change subject. From the target knowledge graph, search for other entities that have a semantic association relationship with the entity. Count the number of other entities, obtain a target value, and determine whether the target value is greater than a preset threshold. If the target value is greater than the preset threshold, the user is prompted that the impact of this change is not within the controllable range. Using knowledge graphs to assist users in evaluating the impact of changes avoids incorrect evaluations due to lack of user experience. In addition, using knowledge graphs as the basis for evaluation is more scientific and objective, which improves the reliability of change impact assessments.

The invention relates to the technical field of product marketing evaluation and optimization, in particular to a big data-based product marketing condition evaluation and optimization system, which comprises a data acquisition module, a server, a sales evaluation analysis module, a market evaluation analysis module, a user evaluation analysis module, a marketing comprehensive analysis module, a marketing optimization module, a display terminal and a cloud database. According to the invention, the marketing state, the market state and the user state data of the online financial products are comprehensively collected and analyzed, deep mining and analysis are carried out by using an advanced algorithm mode, the marketing state is accurately evaluated in real time, the marketing state is intelligently judged, and a targeted optimization signal is generated. Therefore, merchants can be assisted to quickly respond to market changes, precise marketing is implemented, marketing strategies are expanded, the marketing efficiency and the conversion rate of online financial products are improved, and the market competitiveness of the merchants is enhanced.

The embodiments of this specification provide a user classification method, device and equipment. The method includes: obtaining user information of a target user; dividing the user information into user classification information corresponding to at least one preset information category; calculating the category evaluation value of the target user corresponding to each preset information category according to the user classification information; combining the weight value corresponding to each preset information category and the category evaluation value to obtain the user evaluation result corresponding to the target user; determining the user category of the target user based on the user evaluation result; wherein different user categories correspond to different processing schemes; wherein different processing schemes occupy different processing resources. The above method evaluates the target user based on the information of the target user, and determines the user category according to the evaluation result to allocate different processing resources to process the user, thereby reducing the waste of time and resources.

The invention relates to a computer-implemented method for determining a time window for operation (TWO) of a garden device (100), in particular a mowing robot (101), a garden tractor (102) or a mower (103). The time window for operation (TWO) is determined according to input data (ID), e.g. weather data, lawn characteristics data and user profile data, by means of a grass growth simulation (201) and / or by means of a trained AI system (202) and proposed to the user for evaluation. Training data (TD) can be generated based on the user evaluation data (UED) in order to train the AI system (202). Improved garden device deployment plans can be generated by training the AI system (202) with the generated training data (TD).

The data-driven cross-domain smart asset knowledge reasoning and value assessment method and system of the present invention relates to the field of smart asset technology, including extracting multi-domain data features of smart assets based on deep learning models, building a cross-domain smart asset knowledge graph; parsing user evaluation goals based on pre-trained language models, retrieving related assets in the knowledge graph, and using attention mechanisms and graph reasoning algorithms for knowledge reasoning; based on the value assessment model trained by reinforcement learning, combined with a time series prediction algorithm, generating a final assessment value and an assessment report containing a confidence interval. The present invention can effectively integrate multi-source heterogeneous data, realize knowledge reasoning and value assessment of cross-domain smart assets, and improve assessment efficiency and accuracy.

We provide the system. [Solution] A means of receiving questions entered by the user, A means for analyzing the aforementioned questions and generating answers, A means of displaying the generated answer, A means for the user to evaluate whether the aforementioned answer is "slightly off" from the question, A means of providing prizes based on the aforementioned evaluation, A system that includes this.