51 results about "Rating system" patented technology

Aspects of the subject disclosure may include, for example, generating network configuration data for a network device according to device information of a vendor; providing the network configuration data to an Artificial Intelligence (AI) analysis platform that applies an AI model to the network configuration data based at least in part on topology data resulting in a configuration analysis, wherein the configuration analysis evaluates the network configuration data and generates at least one of rating information, adjustment information or a combination thereof. The rating information can include a security rating, a risk rating and / or an efficiency rating. The adjustment information can include a recommendation for changing at least a portion of the network configuration data for the network device.

An AI-powered rating system includes a central artificial intelligence (AI) agent framework configured to orchestrate a rating process and automatically utilize available tools for data gathering and extraction; a data processing pipeline configured to simultaneously handle multiple streams of information from diverse sources, including structured data and unstructured data; a machine learning infrastructure comprising multiple specialized artificial intelligence models, each configured to evaluate a specific type of entity; a generative AI integration layer configured to provide a natural language explanation of a rating result for the rating process and enable conversational interaction with the system, where the generative AI integration layer is further configured to transform the unstructured data into quantifiable risk signals that are integrated with a structured data processing stream; and an output generation and reporting engine configured to deliver the rating result through one or more channels and formats.

The invention discloses a credit rating system based on multi-source data fusion and an enterprise knowledge graph. The credit rating system comprises the following modules: a data acquisition module, a data preprocessing module, a data fusion module, a knowledge graph construction module and a credit rating module. The data collection module is configured to collect enterprise-related data from a plurality of heterogeneous data sources. By integrating multi-source data fusion and an enterprise knowledge graph technology, comprehensive and dynamic evaluation of enterprise credit is realized, the system can acquire data from multiple channels and construct a unified enterprise data view through preprocessing and fusion, and the enterprise knowledge graph constructed on the basis not only contains attributes of enterprises, but also can construct a unified enterprise data view. Various relationships between enterprises are also disclosed, enabling credit rating to take into account associated risks.

The invention relates to an electric power resource adjustability resource multi-dimensional analysis and visualization method, which comprises the following steps of: selecting four dimensions of response time, service time, adjustable capacity and credibility in electric power resource adjustability characteristic indexes as a rating system, and drawing an electric power adjustability resource adjustability characteristic radar map; and constructing a power adjustable resource characteristic cube by taking the power adjustable resource adjustment characteristic radar map as a bottom surface and taking the corresponding scale capacity as a high surface to represent the adjustable characteristic characteristics of the source network load power resources. Compared with the prior art, the multi-dimensional visualization of the adjustment performance of the power adjustable resource is realized by constructing the characteristic cube, the adjustable characteristic characteristics of the source network load power resource can be comprehensively and accurately represented, and a large number of, multiple and dispersed flexible resources can be aggregated to participate in system adjustment.

This invention discloses a hydrophobicity rating system for superhydrophobic surfaces of energy equipment, relating to the field of hydrophobicity rating technology. The system includes a data acquisition module, an optimal parameter combination module, a sample preparation module, a hydrophobicity quantification and evaluation module, a test closed-loop calibration module, and a hydrophobicity rating classification and output module. These modules are interconnected, and through their collaborative operation, the system quantifies, performs closed-loop calibration, and classifies the hydrophobicity index of superhydrophobic samples of energy equipment with different microstructures. The closed-loop calibration process fully considers both anti-icing and weather resistance, significantly improving the accuracy and generalization ability of the hydrophobicity rating results. This solves the problems of inaccurate evaluation results and inability to adapt to extreme field conditions caused by traditional evaluation systems relying solely on conventional laboratory environments, single physical tests, and empirical thresholds for rating. This enhances the intelligence level of hydrophobicity rating evaluation for superhydrophobic surfaces of energy equipment.

A system includes a processor and a memory accessible to the processor. The memory stores instructions that, when executed by the processor, cause the processor to determine a privacy policy score for one of an application and a website and provide the privacy policy score to a device.

Disclosed herein are systems and methods for generating an Al work score for tasks assisted by artificial intelligence. The score is determined by collecting and processing user data using scoring algorithms that consider at least one of the following: Al integration, task complexity, baseline metrics, and time calibration. The system and methods also generate composite scores across users, tasks, groups or industries and classifications across various metrics, enabling correlation reports. These scores can assist in evaluating Al integration, optimizing task assignments and improving Al usage in supervised environments.

The present invention relates to a system (1) for evaluating and scoring the compliance of a driver with traffic rules while driving by analyzing data collected from the vehicle.

The invention discloses an enterprise credit automatic rating method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring to-be-rated enterprise data; inputting the to-be-rated enterprise data into a credit rating model for credit score calculation to obtain a calculation result; determining an industry to which the enterprise belongs according to the to-be-rated enterprise data; determining a mapping relation according to the industry to which the enterprise belongs; determining the credit rating of the enterprise according to the calculation result and the mapping relation; and outputting the credit rating of the enterprise. By implementing the method provided by the invention, a more comprehensive and accurate credit rating system can be realized, and the problems of difficulty in data acquisition, unstable data quality, poor model interpretability and complexity and accuracy of a processing process in the prior art are solved.

The invention relates to the technical field of financial supervision, in particular to an e-commerce loan financing online return clearing supervision system and method. According to the invention, through refined classification of the transaction data and accurate identification of the type of the returned money, independent processing of different types of returned money is ensured, the risk of fund confusion is reduced, and the transparency of fund flow direction is improved. The accurate matching of the return fund and the financing order enables each fund to be quickly cleared according to a preset rule, and improves the efficiency of fund collection and repayment. Based on the real-time evaluation of the shop refunding condition, a plurality of dimensions such as sales fluctuation, refunding proportion and refunding arrival time are comprehensively considered, a stability index is established, the business state of a merchant can be accurately judged, and misjudgment caused by short-term abnormal fluctuation is avoided. In combination with the fund return stability index and the merchant credit score, the credit rating system is optimized, so that the dynamic adjustment of the credit score better conforms to the real business condition of the merchant.

According to the multi-level wind turbine generator cooperative reliability rating system, method and device and the storage medium, the system comprises a domain self-adaptive processing sub-module, a digital twin working condition label calibrates a local gradient through an MMD algorithm, a domain self-adaptive calibration algorithm of federal transfer learning is adopted, and the local gradient of the digital twin working condition label is calibrated; a virtual fault sample generated by digital twinning is combined with real monitoring data, a mixed data set covering all working conditions is constructed, a model can still learn corresponding fault features under the condition that no real extreme fault data exists, a safety aggregation module carries out cross-domain adaptation processing on local gradients through a domain self-adaptation gradient processing formula, and the safety aggregation module carries out cross-domain adaptation processing on the local gradients through the domain self-adaptation gradient processing formula. The method comprises the following steps of: calculating an aggregation weight according to a block chain-federated security aggregation formula, generating block chain evidence hash according to the aggregation weight, fusing real-time real data and digital twin virtual data, reducing interference of a single data source, and greatly improving reliability rating accuracy.

Rating system (10) that determines a network connectivity performance road map (12), wherein the rating system (10) comprises: one or more back-end servers (20) in wireless communication with multiple vehicles (24) located in a geographical area (26) through a wireless communication network (28), wherein the multiple vehicles (24) collect multiple overall performance metrics of the wireless communication network (28); and one or more street map databases (54) in electronic communication with the one or more back-end servers (20), wherein the one or more street map databases (54) store a map data street graph of the geographic area (26) containing multiple nodes (60) connected by multiple edges (62), and one or more statistical measures corresponding to the multiple overall performance metrics of the wireless communication network (28) for each of the multiple nodes (60), and where one or more back-end servers (20) execute instructions to: Calculating one or more statistical measures corresponding to the multiple overall performance metrics of the wireless communications network (28) for each of the multiple edges (62) of the map data street graph of the geographic area (26); and Determining the network connectivity performance road map (12) of the geographical area (26) based on one or more statistical measures corresponding to the multiple overall performance metrics for each of the multiple nodes (60) and for each of the multiple edges (62), Receiving a route request containing a starting point and a final destination from one of the vehicles (24); Calculating distance costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12) in response to receiving the route request; Calculating time costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12), Combining the distance costs and the time costs together on the basis of a weight value assigned to the distance costs and a weight value assigned to the time costs to determine basic edge costs assigned to each of the edges (62) that are part of the network connectivity performance road map (12); and Determining one or more basic route plans by minimizing the basic edge costs assigned to each of the edges (62) located between the starting point and the final destination of the route requirement, characterized by the fact that the one or more back-end servers (20) further execute instructions to: Calculating relief costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12) in response to receiving the route request; and Calculating network live latency costs for each of the multiple edges (62) that are part of the network connectivity performance road map (12).

Aggregation and scoring system for collecting and analyzing public and survey data of public entities, private entities, elected officials, candidates for public office, and other individuals or entities who hold a position of public or private prominence, or public or private influence, to generate a five-tiered score predicated on predetermined metrics of evaluation.

The invention discloses a leg posture analysis and rating system for a football player in a ball kicking process, and the system comprises a data collection unit which collects four-stage kinematics parameters of kicking, kicking and stretching, backward swinging, forward swinging and ball touching through a three-dimensional motion capture system and a high-speed camera; the data processing unit is used for processing parameters and extracting characteristic parameters of each stage; the expert evaluation interface is used for receiving evaluation data of multiple experts on different ball kicking technology types on the multi-score influence factors; the weight calculation unit is used for calculating an influence factor attribute weight by using a Bayesian method based on expert data; the rating decision matrix construction unit is used for constructing a comprehensive matrix in combination with a weight rough projection method; the multi-angle analysis unit is used for performing multi-angle risk rating by fusing a rough set theory and an approximate ideal solution sorting method; and the result output unit is used for outputting the posture quality grade and the training suggestion. According to the method, the actual requirements of football training on precision, standardization and comprehensiveness of posture analysis can be met.

A method for displaying digital media objects and dynamically calculating their rating values. A first digital media object is displayed on a first computing device. A first user provides one of predefined inputs corresponding either to a positive or a negative response to the first digital media object. The rating value of the first digital media object is increased if the response is positive and decreased if the response is negative. The numerical change of the rating value is calculated based on a coefficient value associated with the first user. The rating value of the first digital media object and the coefficient value of the first user are dynamically recalculated based on subsequent responses of the first digital media object from other users. The updated coefficient value is used to calculate subsequent numerical changes in the ratings of other digital media objects based on the first user's subsequent responses.

The invention discloses a rating method, a rating system, electronic equipment and a storage medium. The rating method comprises the following steps: presetting priority levels of various performance requirements of a to-be-rated object according to requirements; formulating an executable rating standard based on each performance requirement with the preset priority level; and based on the actual performance of the to-be-rated object, performing performance rating on the to-be-rated object according to the executable rating standard, and outputting a formal rating report. Due to the adoption of the rating method, the classification rule of the rating object such as a crystal bar in multiple dimensions can be easily realized, so that different rating standards are easy to maintain; and specific classification is realized by setting the priority level, so that the requirement of product customization can be met, and the customer satisfaction is improved.

The invention relates to the technical field of credit scoring, in particular to a credit scoring system for quantitative model service capability based on artificial intelligence, which aims at the pain points of current credit data output and traditional technical architecture, constructs a unified data table, breaks the independence of data distribution and storage, and improves the credit scoring efficiency. Real-time integration and linkage of multi-source heterogeneous data are achieved, characterization, tagging and business based on data are provided, original information and fields scattered in different data sources are collected in a unified mode, indexes are processed and integrated in a unified mode, a unified tag library with enterprises as the granularity is formed, and support is provided for decision-making type model development and business decision making. And in the aspect of the model, a machine learning algorithm is introduced, and the automatic learning capability and the dynamic adjustment characteristic of the machine learning algorithm are utilized, so that rapid iteration and accurate prediction of the risk control model are realized, the high requirements of banks on real-time data processing and dynamic risk strategies are met, and credit investigation companies are comprehensively assisted to promote general financial services.

A system and related methods for analyzing and generating a score for web sites containing content, and providing recommendations and guidance for content modifications and additions. The system provides and receives content survey results from users or viewers of a site, aggregates the content survey results, integrates metrics for multiple content types and domains, and generates a content score for each content type and domain. A summary or aggregate score based upon the scores for each content type and domain also is calculated. The scores can be presented or displayed in a dashboard, graphic interface, report, or other means.

The invention provides a building decoration material environmental protection property detection and rating system. Relates to the technical field of building and decoration material detection, and comprises a multi-source detection unit which forms a composite detection channel through an electrochemical sensing coupling detection technology, and the composite detection channel detects key environmental protection indexes of building decoration materials to generate key environmental protection index data. According to the environment-friendly property detection and rating system for the building decoration material, the environment-friendly property of the building decoration material is comprehensively detected through a multi-source electrochemical detection technology in combination with methods such as infrared spectrum sensing, differential pulse voltammetry and electrochemical impedance spectroscopy. The innovative detection can evaluate the key environmental protection indexes of the material in multiple dimensions, such as formaldehyde emission, volatile organic compound concentration, heavy metal element content and radioactivity, so that the accuracy and comprehensiveness of the detection result are ensured, and the scientificity of environmental protection material evaluation is effectively improved.

The application belongs to the technical field of scientific education, and discloses a popular science quantitative intelligent scoring system; the system comprises a data collection module, which is used for acquiring popular science activity data; an intelligent recommendation module, which is used for recommending different popular science contents to participants according to the popular science activity data; a popular science effect evaluation module, which is used for evaluating whether the participants achieve positive influence after participating in different popular science contents; and a popular science quantitative scoring module, which is used for scoring the positive influence achieved by the participants after participating in different popular science contents, so as to provide an effective basis for the examination of popular science work, help improve the quality and efficiency of the popular science work, and help improve the effect of the popular science activities and the satisfaction of the participants.

The invention, which relates to the technical field of data processing and intelligent matching, discloses a digital intelligence platform comprising a multi-modal data acquisition module, a multi-modal sentiment analysis module, a data basic module, an intelligent negotiation auxiliary module and a false information identification and correction module. The multi-modal data acquisition module is used for acquiring text, audio and video multi-modal data of enterprises and job seekers; the multi-modal sentiment analysis module extracts sentiment features from the multi-modal data, fuses the sentiment features and outputs sentiment matching scores of the two parties; the data basic module collects market data of industries and regions in real time and records user behavior data; the intelligent negotiation auxiliary module provides a negotiation strategy in salary, man-hour and welfare dimensions based on the data; according to the system and the method, a real, efficient and humanized intelligent matching and negotiation environment can be constructed, and the long-term integrating degree of people and posts is improved.

An information acquisition unit (S410 to S420) captures an API access log, which represents the usage status of an API according to a request from an application installed in a vehicle. A sales-related index generation unit (S480 to S490) generates a sales-related index according to a log aggregation value. This index is the result of aggregating the API access log for each vehicle classification, obtained by classifying the vehicle based on vehicle sales data, and for each API type. The sales-related index is an API index that indicates the degree of influence of the API on the application and a vehicle user. An output unit (S510) outputs the sales-related index.

Some embodiments provide techniques for generating common vulnerability scoring system (CVSS) vectors for vulnerabilities to use in scanning a computing environment for vulnerabilities. The techniques involve obtaining a textual description of a vulnerability; generating inputs for a plurality of ML models using the textual description of the vulnerability; providing the inputs to the plurality of ML models to obtain outputs indicating values of CVSS risk metrics; and storing the values of the CVSS risk metrics indicated by the outputs of the plurality of ML models in a vector to obtain the CVSS vector for the vulnerability.

The invention provides a coke rating method and rating system based on a multi-scale residual neural network. The method comprises the following steps: S1, establishing terminal equipment and a coke quality management system; s2, acquiring coke audio information, and performing audio feature extraction and analysis; s3, forming a function by using the coke components, and marking a quality label on the coke sample in combination with experience; s4, constructing a coke quality rating model; s5, obtaining a quality evaluation result of the current coke sample, and generating a corresponding quality grade; and S6, displaying the quality grade of the coke sample on a terminal equipment interface, and completing the final quality grade of the coke quality. The invention provides a set of complete system from terminal information collection to result display, can unify and standardize the evaluation of the coke quality grade, is beneficial to timely and accurate judgment of the quality level of the coke, promotes judgment and management of the coke, improves the efficiency of coke quality rating management, and enables the coke rating process to be more scientific and normative.

To realize a society capable of sufficiently utilizing the ability of an individual by expanding the activity contents and activity range of a person who acts individually.SOLUTION: In the present invention, in an evaluation system, a computer (2) of an operator is connected to a computer (6) of an evaluator who evaluates activities of a guild via an electronic communication network (8), the computer (6) of the evaluator totalizes and stores evaluation points of individuals belonging to the guild based on evaluation points calculated according to the activities of the guild, issues a certificate that certifies the evaluation points, stores the evaluation points of the individual as value points of a token for the individual, and presents the evaluation points, the value points, and the certificate according to a request from another computer (7).SELECTED DRAWING: Figure 1

The application relates to the technical field of computer application, and discloses a scoring system, method and equipment for a freestyle scooter competition, wherein the system comprises an image acquisition module, which is used for acquiring a video stream of a competition of a target object, analyzing one or more action units of the target object in the video stream, and acquiring a plurality of video frames in the action units; an image analysis module, which is used for determining a plurality of action parameters in the action units based on the plurality of video frames of each action unit; an upper computer module, which is used for inputting the action units into a scoring architecture model, evaluating each action unit according to the plurality of action parameters of each action unit, and obtaining a comprehensive score of the target object based on an evaluation result; and a display module, which is used for acquiring the comprehensive score of the target object and displaying the comprehensive score to a terminal screen. The technical scheme provided by the application can quickly and accurately obtain a competition score of a freestyle scooter player in a complex environment.

A system and method for dynamic context-specific rating calculation is disclosed. The system receives a corpus of user reviews and a user-specified context indicator. A filtering module (110) identifies a subset of reviews whose text contains or is semantically relevant to the context indicator, optionally utilizing a Natural Language Processing (NLP) model. Ratings from the filtered subset are extracted and aggregated by a recalculation processor (120), which applies dynamic weighting factors and computes a statistical confidence metric based on the filtered subset's size or variance. The resulting context-specific rating and corresponding confidence metric (130) are displayed to the user, providing a performance metric relevant to a user-defined scenario (e.g., filtering a rating to a “Dinner” or “Service” score).

This invention discloses an automatic scoring system and optimization method for picture-based writing in primary school Chinese language teaching, belonging to the field of intelligent education technology. The system includes an image understanding module, which analyzes the core elements, themes, and logic of images through a lightweight object detection and scene classification model; a text analysis module extracts text features from the dimensions of content relevance, language standardization, logical completeness, and imagination; a scoring model module outputs scores using a hybrid strategy of "rule-based scoring + model scoring"; a feedback generation module provides targeted suggestions; and an optimization module fine-tunes the model and dynamically updates the scoring criteria based on teacher feedback. The method achieves automated scoring through image analysis, text feature analysis, hybrid scoring, and feedback generation, and improves accuracy by combining grade-level adaptation and human-computer collaborative optimization. This solution solves the problems of low efficiency and inconsistent standards in manual grading, assists teachers in precise teaching, provides students with immediate guidance, adapts to the needs of digital education, and has significant practical value in teaching.

The application discloses a kind of civil collection rating method and system based on multi-element weighting, belong to data processing and evaluation technical field.The method includes: first, according to the macro element such as manufacturer, material, process to determine the grade of collection (rare to common six grades);Again, the upper limit of the price of this grade is taken as the benchmark score;Then, according to the specific series to which the collection belongs, multiple preset evaluation elements such as age, ware type, painting skill and their weight proportion are retrieved, the total weight score is calculated, and the grade score is obtained by multiplying the benchmark score;Finally, the grade score is compared with the grade-price table to determine the specific 1-5 level and market price segment.The subjective identification is converted into objective quantitative calculation, the first unified rating system covering all main categories of folk collections such as porcelain, jade, wood, bronze and calligraphy and painting is established, the rating and pricing are completed synchronously, and the application is scientific, accurate and fair, which provides a standardized professional tool for the identification, transaction and rational collection of folk collections.

The invention relates to the technical field of railway vehicle maintenance task interval decision making, in particular to a maintenance interval rating system development method based on fuzzy clustering, which can reasonably and effectively classify all factors influencing vehicle system, structure and equipment damage on the basis of a current maintenance interval framework, and improve the maintenance interval rating efficiency. According to the method and the system, the preventive maintenance task interval rating system suitable for the structure, the area and the like of the rail transit vehicle can be formulated conveniently, the preventive maintenance task interval of the structure, the area and the like can be formulated more reasonably and accurately, over-maintenance and missed maintenance are reduced, the online rate is improved, and cost reduction and efficiency improvement can be realized more accurately and effectively.