272 results about "Match algorithms" patented technology

The invention provides an AI-based post competency and recruitment post matching method, and relates to the technical field of big data processing, and the method comprises the steps: obtaining multi-source heterogeneous data, and extracting dominant skill entities and implicit ability entities of candidates; constructing a candidate ability evolution graph; analyzing a post dynamic demand by combining a time sequence prediction model, and forming a dynamic post portrait including a current demand, a hidden demand and a future evolution demand; calculating the structural similarity between a candidate map and a post portrait through a map neural network matching algorithm, and generating and sorting comprehensive matching scores in combination with adaptive dimensions such as core capability difference, future integrating degree and team integration potential; team cooperative effect simulation is introduced, the influence of candidate addition on a team capability structure and a cooperative network is predicted, and the model is optimized through a closed-loop feedback mechanism; the talent recognition accuracy and coverage range are remarkably improved, prospective strategic talent matching is achieved, and the matching efficiency is improved.

The invention relates to the fields of artificial intelligence, finance and medical treatment, and discloses an intelligent question and answer accuracy improving method and device, computer equipment and a storage medium, and the method comprises the steps: converting structured supervision fine tuning training data into a high-dimensional vector; constructing a multi-dimensional joint index for the high-dimensional vector, and storing the indexed high-dimensional vector in a distributed vector database; receiving a current dialogue text input by a user, and retrieving an associated question set from the distributed vector database through a similarity matching algorithm; dynamically splicing the retrieved associated questions, the corresponding answers and preset template instructions to generate enhanced cue words containing knowledge contexts; inputting the enhanced cue word into a large language model, and generating N candidate answers in parallel; and carrying out quantitative evaluation on the N candidate answers by adopting a multi-dimensional reward model, and selecting the answer with the highest score and returning the answer to the user. According to the scheme, the answering accuracy of the dialogue robot can be improved, so that the user experience is improved.

The invention relates to the technical field of information processing, and discloses a big data-based information matching management system, which comprises an acquisition module, an attribute analysis module, a multi-dimensional modeling module and a dynamic matching module. The acquisition module acquires a user behavior data set and extracts active information demand features; the attribute analysis module analyzes the real-time updating frequency, the semantic association degree, the historical matching success rate and the data topological structure characteristics of the target information resources; a multi-dimensional modeling module performs heterogeneous modeling on each feature to generate timeliness, semantic association, matching probability feature vectors and topological structure vectors; and the dynamic matching module generates an adaptation degree score and determines an optimal matching object through heterogeneous space projection and feature coupling operation. The system improves the accuracy, real-time performance and efficiency of information matching through multi-dimensional feature processing, topological structure analysis and a dynamic matching algorithm, and is suitable for an accurate information matching scene in a big data environment.

The invention discloses a person and post matching method and system based on talent evaluation. The method comprises the following steps: step 1, setting a talent evaluation standard; 2, establishing an occupational quality model of the personnel; 3, creating a post model; 4, developing a post matching algorithm; 5, internal employee behavior analysis; step 6, a post recommendation system; step 7, quantitative evaluation and demand analysis; 8, a data processing technology; compared with the prior art, the method has the advantages that the scientificity, objectivity, efficiency and accuracy of personnel and post matching are improved, personalized recommendation of employees is realized, the efficiency of talent recognition is improved, and the method has remarkable superiority.

The invention discloses a computing power comprehensive scheduling method and system for cloud computing, and relates to the technical field of computing power scheduling, and the method comprises the steps: determining the task priority of a cloud computing task, preliminarily generating a mapping matrix, and respectively defining task preference and virtual machine preference by using a bilateral preference game mechanism, a stable matching algorithm is used for preliminarily matching the tasks with the virtual machines, idle fragment resources of the virtual machines are determined, a rhododendron behavior scheduling algorithm is used, the scheduling probability of unmatched tasks is calculated, task matching is updated, and an egg replacement mechanism is used for replacement again to match the tasks for local optimization. According to the method, through matching, parasitism and replacement chained control, full-process control from static gaming to dynamic fault tolerance is completed, the task scheduling success rate, the task entering density and the unit utilization efficiency of resources are improved, and the overall scheduling failure rate and the resource vacancy rate of the system are reduced.

The invention relates to the technical field of power distribution automation of a power system, and particularly discloses a general operation and maintenance method and system supporting multiple types of power distribution terminals. According to the method, millisecond-level automatic accurate identification of the power distribution terminal is realized through a multi-layer protocol feature fingerprint extraction technology and a weighted dynamic similarity matching algorithm. On the basis of a double-library cooperation mechanism, after equipment identification succeeds, communication parameters, point table mapping relations and operation and maintenance instructions which conform to international / industrial general standards are automatically triggered, loaded and issued. The plug-and-play and zero-configuration deployment of the power distribution terminal is realized, and the point table configuration error rate is reduced to below 1%. And an unidentified equipment self-learning closed-loop process is designed, so that the system can quickly adapt to a power distribution terminal of a new manufacturer, a new number or a new firmware version. And an automatic parameter read-back and verification comparison mechanism after configuration execution forms an operation and maintenance operation closed loop, so that the accuracy of configuration issuing each time and the controllability of the equipment operation state are ensured.

The invention relates to an AR card interaction method and system based on a user portrait and a dynamic matching algorithm, and the method comprises the steps: obtaining the materials of an IP card in the aspects of videos, 3D models and special effect resources, and constructing a user portrait database; identifying card features and associating a user account based on an AR module; according to the user portraits and the material labels, matching scores are calculated through a weighting formula, and a recommendation list is generated according to score sorting; loading the recommended material, and adjusting the special effect according to the 3D engine in combination with the environment data; and associating recommendation priorities according to the degrees of collecting, liking, commenting or purchasing the materials by the user, and updating the user portrait in real time. According to the method, a highly personalized effect is achieved by combining the user portrait and the environment data, the scene immersion is enhanced and the dynamic adaptability is improved by adjusting the recommended content and rendering the special effect in real time, and the viscidity is improved by supporting the user to actively participate in content selection and feedback, so that the interaction diversity is realized.

The invention discloses a defect segmentation loss evaluation method based on space consistency optimization, and relates to the field of computer vision and defect segmentation. The problem that an existing loss calculation method is difficult to give consideration to defect space consistency and fair modeling of defects of different scales, and consequently loss evaluation accuracy is poor is solved. According to the method, a prediction result and a defect area in a real label are subjected to instantiation modeling, a prediction and real defect set is constructed, and one-to-one optimal matching of the prediction result and the real defect set is realized through a Hungary matching algorithm; in order to enhance the modeling capability for defects of different sizes, a Wasserstein distance is introduced to measure the spatial similarity of matched defect pairs, defect segmentation loss is calculated for successfully matched defect pairs based on the distance, a fixed loss value is directly applied to predicted defects which are not successfully matched, and the sum of the defect segmentation loss and the fixed loss value is used as a total loss value of a sample. The method is mainly applied to an industrial product surface defect segmentation task.

The embodiment of the invention provides an address data matching method and related equipment, and belongs to the technical field of geographic information services. The method comprises the following steps: constructing an address annotation corpus according to input address information data and a preset address database; the method comprises the following steps: generating a geographic information embedding vector according to a preset geographic information knowledge graph, performing address element analysis in combination with an address annotation corpus to obtain an address element sequence so as to construct a dictionary tree, and performing similarity screening through a spatial hierarchical matching algorithm to obtain a similar address set; generating an address embedding vector matrix through a preset word embedding vector model, and performing feature extraction through a preset semantic feature extraction model to obtain semantic-level similar features; according to input address information data, multi-dimensional character similarity matching is carried out to obtain character-level similar features, then weighted fusion is carried out in combination with semantic-level similar features, and target matching address data is determined according to a weighted fusion result. According to the embodiment of the invention, the address data matching accuracy and efficiency can be improved.

Method and digital signage server for optimizing placement of digital signage content based on audience segments of a plurality of digital signage players. A plurality of segments for the players are stored at the server. Characteristics for a plurality of contents are received at the server. A matching algorithm is executed by the server, comparing the characteristics of the plurality of contents with items of the segments for the plurality of players, to identify for each content a target segment matching the characteristics of the content. One of the contents is selected and a plurality of candidate players is determined among the plurality of players, each candidate player having the target segment of the selected content. The server further identifies one or more target players from the plurality of candidate players for displaying the selected content, based on metric thresholds of respective corresponding metrics defined for the candidate players.

The invention provides an intelligent project management method and system for project supervision, and relates to the technical field of project supervision, and the method comprises the steps: taking a structural member and a construction technology in a construction drawing as a basis, extracting a risk supervision unit with a space anchor point and a supervision priority through a semantic matching and structural modeling mode, and carrying out the construction of a project. The risk units serve as the minimum execution entity of the supervision task, the future disturbance trend of each risk unit is predicted based on the time sequence modeling technology in combination with field IoT data and the construction progress, and the dynamic risk score of the risk unit is calculated according to the future disturbance trend; by using the scoring system, through a matching algorithm and a scheduling optimization model, dynamically generating an optimal scheduling suggestion of the supervisor, and continuously recording supervision behaviors of the supervisor on site; all supervision behaviors are subjected to semantic alignment with drawing specifications in a structured filing mode, the behavior quality is judged through a consistency scoring mechanism, and acceptance suggestions or rectification actions are triggered on the basis; and the consistency of the supervised object and the drawing target is ensured.

The invention discloses an interactive terminal system for artificial intelligence recruitment, and relates to the technical field of artificial intelligence and human resources. The system comprises an intelligent interaction module, a demand analysis module, a data storage module, an intelligent matching engine, a post issuing module, an intelligent evaluation module, a process management module and a user feedback and model optimization module. The system receives an unstructured recruitment demand through a multi-modal interface, analyzes and generates structured post data based on a natural language processing technology, realizes accurate man-post matching through a multi-dimensional matching algorithm, and automatically completes post release, skill evaluation, video interview analysis and process management. According to the method, the problems of inaccurate demand understanding, low matching efficiency and tedious process in traditional recruitment are effectively solved, intelligent and automatic management of the whole recruitment process is realized, and the recruitment efficiency and talent matching accuracy are remarkably improved.

The invention provides a UI automatic test system and method, computer equipment and a storage medium, a manual case structuring module receives a manual case and converts the manual case into structured data in a preset format; the page element obtaining module calls a browser driving engine according to the target URL to obtain full page elements; the AI element matching module is used for scoring full elements of a page through a pre-matching algorithm based on operation types and interface element descriptions in the structured data, screening out first K elements, and carrying out secondary screening through a large model to determine target elements; and the automatic use case execution module generates an automatic test use case according to the target element and the operation data in the structured data, executes the automatic test use case and verifies whether an execution result conforms to expectation or not to realize UI automatic testing. By the adoption of the scheme, the labor cost of UI testing is reduced, the efficiency and adaptability of UI testing are improved, and then the automation level and the large-scale capacity of UI testing are improved.

The invention provides an intelligent course matching and promotion path recommendation method and device based on post portraits. The method comprises the steps of obtaining internal multi-source heterogeneous data of an enterprise and performing preprocessing to obtain a standardized multi-dimensional feature data set; constructing a dynamic post capability portrait by adopting a semi-definite programming method of an asymmetric random block model; analyzing a causal relationship between capability dimensions by applying a linear time primitive algorithm to obtain an employee capability assessment report; a constraint solution algorithm meeting excessive dissipation is adopted to calculate the capability gap matrix to obtain a personalized capability improvement requirement; screening and combining the learning resources through a weighted matching algorithm to obtain a personalized learning recommendation plan; and adopting a promotion path planning algorithm to construct multi-dimensional promotion possibility evaluation to obtain personalized promotion path suggestions. According to the invention, a closed-loop feedback mechanism of learning, evaluation and promotion is realized, and a systematic solution is provided for enterprise talent development.

The invention discloses a shaping template positioning method based on a BIM matching algorithm and pre-assembly optimization, and the method comprises the steps: reading a corrected BIM and a field point cloud, and constructing a stage freezing boundary; generating candidate hole positions by using three-point reference and one-circle two-slot holes, and completing reachable, interference and processing constraint checking; according to alignment of the drifting main shaft and the normal direction, the long hole is orthogonally provided with a limit and a backstop in the same direction and distributes slippage; an assembly chain for round hole initial insertion, pushing insertion along the main shaft and final hole locking is made; and a template processing drawing, an operation card, positioning parameters and deviation statistics are output, and one-time positioning under the complex working condition is achieved.

The invention relates to a method and system for automatically identifying the authenticity of entry and exit certificates, which comprises the following steps of: acquiring an integral image of a certificate, positioning a textural feature extremal region, extracting key details, matching an anti-counterfeiting mark feature library by combining a feature matching algorithm, and extracting an anti-counterfeiting standard detail feature image in the key details; a fuzzy algorithm is adopted to unify the size of an anti-counterfeiting region, and gray mapping and normalization are combined to realize standardization processing of an anti-counterfeiting standard detail feature image, so that deformation and illumination interference are solved. According to the method, a graph neural network based on a pre-training attention mechanism network is constructed, a convolutional layer, a pooling layer, a full-connection layer, a nonlinear kernel SVM classifier and a classification module are superposed to form a multi-stage classifier, generalization is improved through positive and negative sample training, an anti-counterfeiting standard detail feature image subjected to standardization processing is used as input, and an authenticity judgment result is output. The multi-level feature analysis and the deep network learning are fused, the authenticity identification precision and the anti-counterfeiting capability are remarkably improved, and the method is suitable for multi-type certificate anti-counterfeiting detection scenes.

The invention discloses a supply chain management method based on a digital block chain, and the method comprises the following steps: S1, dividing a supply chain participant into four heterogeneous chain networks according to the role type of the supply chain participant; s2, deploying cross-chain relay bridge modules among the heterogeneous chain networks; s3, demand information initiated by manufacturer nodes is collected, and a bilateral matching graph is constructed; s4, performing supply and demand matching by adopting an improved stable matching algorithm to generate a matching result set; s5, deploying a matching contract according to the matching result set, and completing state synchronization and atomic locking through a cross-chain relay bridge module; s6, executing the matching contract, collecting performance data in real time, and mapping the performance data into a credit score; s7, writing the credit score of each matched node into a supervision chain network; and S8, when delay, default or credit decline events occur in the performance data, executing S4 to S6 again, and completing block chain storage. According to the invention, a heterogeneous chain network system is constructed, dynamic matching and a credit evolution mechanism are fused, and intelligent scheduling and supervision of the supply chain are realized.

The invention relates to the field of automobile financial consumption, and provides a method, a system, equipment and a medium for intelligently and automatically recommending an automobile loan scheme. According to the method, a two-dimensional portrait is constructed by obtaining user data and fund party data, the user data is processed by feature crossing and a portrait algorithm to generate a user portrait, and the fund party data is processed by normalization and feature engineering to generate a fund party portrait. The method is advantaged in that the user and fund party portraits are matched based on the machine learning model, the matching degree is calculated, the personalized car loan scheme is generated according to matching degree sorting, interest rate, deadline and approval requirements are considered, accurate matching of the user and the fund party is realized, and recommendation success rate and user satisfaction are substantially improved. Meanwhile, the method supports dynamic adjustment of the model, a matching algorithm is optimized in real time through performance comparison of the challenger model and the champion model, efficient extension and multi-fund-party access are achieved, and the method has industrial popularization value.

The invention discloses a method and device for extracting a bill of material and title information in CAD and a medium, and the method comprises the steps: extracting an INSERT insertion object and an ATTRIB attribute object from a drawing object list of a CAD file, and taking the INSERT insertion object and the ATTRIB attribute object as filtering data; the BOM and the title information are extracted from the filtered data through a preset rule matching algorithm, and if extraction succeeds, the BOM and the title information are output; and if the extraction fails, extracting the BOM and the title information from the filtered data according to a preset dictionary matching algorithm, and outputting the BOM and the title information. According to the method, a dictionary matching and rule matching algorithm in NLP (Natural Language Processing) and text analysis is fully utilized to perfectly solve the pain point of manually inputting the BOM in the use process of an ERP (Enterprise Resource Management) system.

The invention discloses a document-level event extraction method based on an interleaving argument association matching algorithm, which relates to the field of natural language processing and comprises the following steps of: performing data enhancement on original data of a document-level event to generate an enhanced training data set; defining event types and argument roles corresponding to the event types, and constructing a structured event template; constructing a prompt template, and performing multi-task optimization on the UIE model in combination with the enhanced training data set; extracting an entity, a trigger word and an argument in the target document, and generating a structured recognition result; and carrying out structure recombination by adopting an interleaving argument association matching algorithm to generate a document-level event extraction result. According to the method, through data enhancement, prompt template construction and an interleaving argument association matching algorithm, the adaptability of the model under the condition of data deficiency is improved, error accumulation is reduced, cross-paragraph argument association is accurately recognized, and the accuracy and integrity of document-level event extraction are remarkably improved.

The invention belongs to the technical field of data security, and particularly relates to an information management platform and method supporting multi-center data fusion, and the platform constructs a portrait monitoring node network based on different center user monitoring information and a single center hash index through a portrait index module by using a hash algorithm and a graph algorithm; the global fusion module generates a cross-center global portrait node network through an association matching algorithm by means of a security index hash table containing single and cross-center hash index mapping, and the cross-center hash index mapping is constructed based on a dynamic feature anchor point algorithm and effective time; the hierarchical permission module is combined with a hierarchical permission criterion and an access control algorithm to generate a global permission hierarchical access node network; the cross-center access module obtains an index intention information list according to the user access intention, the authority level and the historical intention access frequency in combination with the global authority network; according to the platform, multi-center data security fusion and collaborative access are realized, and data isolation and cross-domain sharing efficiency are guaranteed.

The invention discloses a lossless compression storage method and system based on heterogeneous data in a credential environment, and the method comprises the steps: firstly, extracting a mapping relation between a file type and a structural feature through scanning a target file, carrying out the preliminary lossless compression after classification and grouping, and further employing a sliding window matching and sequence matching algorithm to optimize compressed data for a redundancy mode, and then generating a metadata structure containing a check code and a compression parameter, packaging the metadata structure into a data packet supporting cross-platform transmission, finally transmitting the data packet to a target storage device through a secure write-in protocol, and verifying data consistency and recovering path feasibility by using the check code. According to the method, the data compression efficiency is remarkably improved, the compatibility of cross-platform transmission and the integrity of stored data are ensured, and efficient and reliable technical support is provided for complex electronic file processing.

The invention discloses a reference multi-target tracking method based on language decoupling and fine-grained multi-modal feature alignment, and relates to a computer vision technology. The method comprises the following steps: A, giving a training data set containing a video sequence and language description; b, inputting the video sequence in the step A into a backbone network to extract visual features, and inputting language description into a language model to extract text features; and C, performing multi-modal alignment and fusion through a cross attention mechanism according to the visual features and the language features extracted in the step B. And D, decoupling the language features extracted in the step B into local description and a motion state. And E, inputting the refined features extracted in the step C and the local description extracted in the step D into a static semantic enhancement module to extract target information. And F, associating the current frame target obtained in the step E with the existing trajectory by using a Hungary matching algorithm. G, inputting the matched target features in the step F and the motion state in the step D into a motion perception alignment module to enhance the target recognition capability; the tracking performance of the method is improved.

The invention discloses a multi-level standardized splitting method for detailed addresses, which adopts BERT + CRF technology to accurately split address named entities, utilizes a five-level administrative division address library to check and complement superior and subordinate relationships to ensure the correctness of an address hierarchical structure, and combines a road name library and an address fence technology to improve the accuracy of the address hierarchical structure. According to the method, the geographic range is accurate through regular matching and mixed similarity matching algorithms, the addresses are further verified and complemented by using multi-weight regular segmentation logic and a place name library, and detailed address information which is not limited to house numbers and floor final levels is reserved, so that the complemented address information is ensured to be complete. According to the method, a multi-algorithm fused high-speed matching strategy is combined with an exquisite bidirectional verification and feedback closed-loop mechanism, so that high efficiency is ensured, and meanwhile, the matching accuracy, robustness and logic consistency of address elements (administrative division, roads, interest points and fences) at all levels are remarkably improved.

The present invention provides a method and system for automatically generating a bond project implementation plan, comprising: obtaining key information of the bond project input by a user terminal; performing data matching on the key information of the bond project using a pre-built bond business model based on the key information of the bond project, and outputting an initial project plan corresponding to the key information of the bond project; extracting business data information from the initial project plan, and performing data identification based on the business data information using a matching algorithm to obtain a data table and business description corresponding to the business data information; generating a project implementation plan corresponding to the key information of the bond project based on the data table and the business description; the present application significantly improves the accuracy of information extraction and the accuracy of plan matching through automated acquisition of key information of the bond project, intelligent matching and data identification, and can quickly generate standardized project implementation plans, thereby reducing manual intervention, reducing errors and improving efficiency.

The invention discloses a satellite spatio-temporal trajectory data association analysis method based on PNTA, and particularly relates to the technical field of data association analysis. Aggregation and crossing behaviors of trajectories in a sliding window are sensitively captured by introducing trajectory crossing and overlapping risk coefficients; secondly, the modal feature degradation perception coefficient dynamically measures the feature degradation degree caused by shielding, interference or sensor failure of the multi-modal information carried by each track from two dimensions of time sequence stability and spectrum distribution, and the feature degradation degree of the multi-modal information carried by each track is evaluated through joint evaluation. The method can actively trigger a confidence suppression and modal enhancement mechanism when a system enters a high-pseudo-consistency mismatch risk area, avoids the damage of false trajectory combination to subsequent clustering and scheduling path deduction, and can maintain the high efficiency and stability of a matching algorithm in a low-risk state. Therefore, fine control over the misjudgment risk in the trajectory recognition link is achieved, and the accuracy, robustness and system response capability of multi-target trajectory association in a complex environment are remarkably improved.

A method and apparatus for extracting commands between a controller and an operator, the method comprising: receiving a command and a response to the command; extracting an instruction from the command using a trained neural network model that processes text in a bidirectional manner; comparing the extracted instruction from the command and the response to the command to find text that is similar; and extracting text in the response to the command found to be most similar to the text in the extracted instruction of the command, wherein a fuzzy matching algorithm is used for comparing the extracted instruction of the command and the response to the command to find text that is similar, wherein the fuzzy matching algorithm compares a span of the extracted instruction of the command with a span of the response to the command and calculates a similarity score for the two compared spans.

The invention belongs to the technical field of Internet crowdsourcing platforms, and particularly relates to an automatic task pushing method based on a crowdsourcing human platform, which comprises the following steps: S1, data collection: collecting executor information and task information; s2, data analysis and modeling: models constructed in the step comprise an executor portrait model, a task model and a matching algorithm model; s3, automatic pushing: based on the task information and the comprehensive matching score, automatically pushing a corresponding task to an executor according to a pushing rule; and S4, feedback and optimization: collecting feedback information and optimizing the executor portrait model, the task model and the matching algorithm model according to the feedback information. According to the method, through multi-dimensional data collection and analysis, an accurate executor portrait and a task model are constructed, high matching of the task and the executor is realized through a multi-dimensional matching algorithm, and the task completion quality and efficiency are improved.

The invention relates to the technical field of traditional Chinese medicine formula matching, in particular to a traditional Chinese medicine formula intelligent matching system which comprises a data acquisition module, a data processing module, a model training module and a prescription matching module. The data acquisition module is used for acquiring medicinal material and formula information from traditional Chinese medicine literatures, a medical database, experimental research results and clinical cases through a data interface and a crawler technology, and storing the medicinal material and formula information into a unified database; the data processing module is used for performing structured processing on the acquired unstructured text data by adopting an NLP technology and extracting names, indications, doses, pharmacological actions and incompatibility of the medicinal materials; the model training module is used for carrying out classification and correlation analysis on the prescription combination based on a machine learning algorithm and generating model parameters for prescription matching; according to the prescription matching module, a user can perform retrieval according to various screening conditions such as a purpose, a dosage form, an action mechanism and a region, and a system screens a prescription combination which most accords with the conditions from a database according to a matching algorithm and a training model.

The invention discloses a vehicle target tracking method and system based on an outdoor scene. The method comprises the following steps: matching each to-be-tracked target detection frame and each tracked target tracking frame through a Hungary tracking matching algorithm to obtain a first tracking matching result and target detection frames and target tracking frames which are not successfully matched for the first time; matching the target detection frame and the target tracking frame which are not successfully matched for the first time through a Hungary tracking matching algorithm so as to obtain a second tracking matching result; and generating a tracking queue according to the first tracking matching result and the second tracking matching result. According to the method, the detection frame and the tracking frame which are successfully tracked and matched do not participate in next tracking and matching, and the error matching rate of the second time can be effectively reduced through screening of the first matching; and taking a result after twice matching as a final tracking matching result, and updating the successfully matched detection frame to a corresponding tracking target list.