154 results about "Link generation" patented technology

The invention discloses a text-to-video full-link generation method and system based on a multi-modal large model, and belongs to the technical field of artificial intelligence content generation. Through cooperative work of multiple agents, analysis of a text input by a user and construction of a cross-modal memory library, unification of videos and audios for generating a sub-mirror is ensured based on memory library content, and the generation efficiency of the sub-mirror is improved. The full-process automatic generation from the text to the video is realized; the method is implemented by the following steps of: acquiring text input of a user; text analysis: dynamically extracting, analyzing, generating, associating and storing image-text-tone multi-modal information from an input text through an Agent working cooperatively, and constructing a multi-modal memory library; generating a split mirror, and generating a split mirror video and an audio according to the memory bank; and performing audio and video synthesis and audio and picture synchronous alignment to form a final video. According to the method, the narrative continuity of long video generation can be realized, the feature consistency of the split image is improved, the consistency of cross-modal emotion is enhanced, manual intervention is reduced, and the video production efficiency is improved.

The invention provides a front-end logic execution system based on a canvas flow, and the system comprises an editor end which comprises an item switching module which is used for providing an item menu tree and a visual page; the page building module is used for storing a menu component; the action flow arrangement module is used for connecting the menu components according to the running sequence and configuring execution conditions, preposed actions, delay events and loop events to form a low-code data packet; the running device end comprises a data packet analysis module which is used for loading a low-code data packet and restoring the low-code data packet into JSON (JavaScript Object Notation) configuration; the rendering module is used for converting the JSON configuration into HTML (Hypertext Markup Language) elements and JS (JavaScript) codes and rendering the HTML elements and the JS codes to a browser And the event execution module is used for executing each action after the browser component is triggered. The method has the beneficial effects that the generation convenience of the business logic execution link can be improved, the technical threshold of front-end business logic development is reduced, and the flow visualization of the whole link generation and execution links is realized.

The invention relates to a reconciliation clearing method and system based on intelligence, and the method comprises the steps: obtaining business transaction processing information, splitting the information into a plurality of information pieces according to a preset data type, obtaining a transaction information piece set, and enabling each information piece to correspond to a data type; performing feature extraction on the transaction information piece set, generating transaction feature vectors, including transaction amount, transaction type and channel identifier, inputting the transaction feature vectors to a pre-trained account checking and clearing window prediction model, and outputting the size of an account checking and clearing window corresponding to the current transaction information piece set; and based on the transaction information piece set and the size of the reconciliation clearing window, performing distributed processing on the transaction information piece set by using a preset reconciliation clearing link generation mechanism to realize reconciliation clearing of the business transaction processing information. Therefore, processing resources are reasonably allocated, distributed processing is realized, and the processing efficiency and accuracy of account checking and clearing are remarkably improved.

The invention relates to the field of distributed storage, in particular to a method for safely transmitting and storing file fragments in a distributed storage system, and solves the problem that data are tampered or leaked in the transmission, storage and decryption process in the existing distributed storage field. The method comprises the following steps: step 1, data fragmentation; 2, data are uploaded before being uploaded; step 3, storing; 4, encrypting file link generation and forwarding; and 5, receiving and decrypting the file. According to the method, fragmented data, secret keys and parameters of each storage node in the distributed storage system are mastered by multiple parties, and encryption and decryption processing of organization, transmission and storage of the fragmented data is realized by adopting a stream encryption and parallel processing mode; the transmission and storage security of the file in the distributed system is effectively guaranteed, and the file is prevented from being tampered.

The invention discloses a graph neural network link prediction method based on multi-dimensional similarity, and aims to improve the accuracy and generalization ability of missing link prediction in a complex network. The method is suitable for social networks, citation networks, recommendation systems and other actual scenes with isomerism, sparsity and dynamic evolution characteristics. In order to solve the problem that a traditional method only depends on local adjacency information or single topological similarity and is difficult to capture a high-order structure relation and multi-dimensional feature association, a unified measurement system fusing structure similarity, attribute similarity and path similarity is constructed, and potential association between nodes is deeply mined. By introducing a self-adaptive feature weighting mechanism, the model can dynamically adjust the multi-dimensional similarity fusion weight according to network features, and the expression and distinguishing capability of the node relationship is enhanced. On the basis, the deep representation learning advantage of the graph neural network is combined, a model structure with the selective feature fusion capability is designed, and precise modeling of a complex link generation mechanism is achieved. The method has good expandability and interpretability, and prediction deviation caused by network heterogeneity can be effectively relieved. Experimental results show that the method is obviously superior to the existing mainstream method on a plurality of real network data sets, and has high theoretical value and wide application prospect.

The invention discloses a multi-source blood relationship candidate link generation and verification method and device, equipment and a medium, and the method comprises the steps: S1, carrying out the unified modeling of a multi-source blood relationship segment, comprehensively calculating the attribute similarity, the hierarchical mapping consistency and the relationship constraint satisfaction degree, and generating a dynamically weighted candidate link set; s2, introducing a constraint breadth-first search algorithm on the basis of the candidate link set, and performing link extension in combination with conflict detection and a loop verification mechanism; and S3, performing multi-dimensional credibility evaluation on the link obtained by reasoning, feeding back a verification result to a candidate link generation link at the same time, and automatically adjusting a weight parameter and a constraint threshold in a candidate link generation stage, thereby forming a complete closed-loop optimization system. According to the method, the multi-source candidate links are automatically constructed and verified in the data consanguinity knowledge graph, so that the completeness and accuracy of link discovery are improved, and the real-time verification and risk early warning capability in a data cross-domain circulation scene is remarkably enhanced.

Embodiments of computer-implemented systems and methods for extracting tables from documents are described. Document layout data is generated based on a plurality of glyphs associated with document lines, comprising data identifying: a plurality of text segments within each line; a plurality of text segment links; a plurality of text blocks of one or more of the text segments; and a plurality of text block links. A document is generated including at least one editable document table corresponding to at least one document table identified based on the plurality of glyphs associated with document lines.

A set of incident records are received for a computing system. The incident records are analyzed to identify similar incident records which are then linked. Incident clusters are generated based upon the links and incident records in each cluster are ranked. A prompt is generated to an artificial intelligence (AI) model based on the ranked, related incidents and the AI model returns a response that identifies a root cause and mitigation steps corresponding to the ranked incidents.

To provide an information processing system that can recruit applicants with high ability to carry out and execute support activities, can ensure a more reliable handover to a successor when the person in charge of coordinating support activities changes, and promote the creation of a local community by encouraging communication among local residents through support activities.SOLUTION: An invitation link generation unit P1 generates an invitation link L for registering a general account. An account registration unit P2 registers a general account. An account change unit P3 changes one of the general accounts to a management account. A recruitment unit P4 accepts the setting input of recruitment information for support activities. An application unit P5 accepts input from a general user for an application to the recruitment information. An application result input unit P7 displays an application history H of the general user stored in a storage unit 22 and accepts the input of application results by a management user.SELECTED DRAWING: Figure 2

The invention discloses a training method of a script link generation large model and a script link generation method. The training method comprises the steps that structure information of at least one action script is obtained, the structure information of the action script comprises an execution action, a precondition and adjacent script relation information, and the adjacent script relation information is used for indicating a next action script which can be executed after the action script is executed; generating at least one first prompt text according to the structure information of each action script; each first prompt text is input into the large language model for training, a script link generation large model is obtained, the script link generation large model is used for generating script links, the system development intelligence degree is improved, time is saved, a complete process script executed by operation is split into independent action scripts, and the operation efficiency is improved. The script link is generated through the large model, a full-process script does not need to be compiled completely, the workload is small, development manpower and storage resources are saved, management is convenient, and different functions are more flexible and changeable to achieve.

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

A server for managing data of items sold by a store, includes a network interface configured to communicate with a mobile terminal, a memory, and a processor configured to execute a program stored in the memory to perform: upon receipt of first text from the terminal, inputting the first text about an item sold by the store to a model, which generates in response thereto second text that promotes the item, acquiring related information corresponding to the item, generating third text based on the acquired information, storing the third text in a location, and generating a link to the location, generating answer information including the second text and the link, and transmitting the answer information to the mobile terminal.

The application relates to a short link generation method and a related device, wherein the method comprises the following steps: obtaining an input long link and corresponding agency parameters; generating a first short link corresponding to the agency parameters according to a preset short link generation table; obtaining a second short link corresponding to the long link by incrementing the first short link; converting the second short link to obtain a third short link in a target numeral system, and storing the third short link and the long link together in a short link mapping table in a database; and generating a short link corresponding to the long link based on the short link mapping table. The application generates a first short link corresponding to the agency parameters by inputting a long link and the agency parameters corresponding to the long link, obtains a second short link by incrementing the first short link, converts the second short link to obtain a third short link, and finally generates a short link based on the short link mapping table, so that the length of the address corresponding to the long link can be simplified, the conversion and access efficiency of the long link can be improved, the effectiveness and security of the long link can be improved, and maintenance is facilitated.

The invention provides a shared link generation method and device, an analysis method and device, equipment and a storage medium, and relates to the technical field of data processing, in particular to the technical field of personal cloud and file sharing. The specific implementation scheme is as follows: acquiring a user identity identifier of a sharing user initiating a sharing request; generating a unique link identifier for a sharing link corresponding to the sharing request; constructing a data load based on the link unique identifier and the user identity identifier; a path portion of the shared link is generated based on the data load. According to the scheme provided by the invention, the problem that link positioning is difficult when a sharer and a visitor belong to different areas can be solved.

The application discloses a multi-source bloodline candidate link generation and verification method, device, equipment and medium. The method comprises the following steps: S1, uniformly modeling multi-source bloodline fragments, comprehensively calculating attribute similarity, hierarchical mapping consistency and relationship constraint satisfaction degree, and generating a dynamic weighted candidate link set; S2, introducing a constraint breadth-first search algorithm on the basis of the candidate link set, combining a conflict detection and loop verification mechanism to perform link expansion; S3, performing multi-dimensional credibility evaluation on the inferred link, and feeding back the verification result to the candidate link generation link, automatically adjusting the weight parameter and constraint threshold of the candidate link generation stage, thereby forming a complete closed-loop optimization system. The application automatically constructs and verifies multi-source candidate links in the data bloodline knowledge graph, not only improves the integrity and accuracy of link discovery, but also significantly enhances the real-time verification and risk warning capability in the data cross-domain flow scene.

This invention relates to the field of computer software technology and discloses a state-aware dynamic execution link generation and adjustment method. The method first receives a list of sub-intents decomposed from business intents, matches optimal execution resources for each sub-intent using cosine similarity calculation, and monitors the health status of resources in real time for hierarchical classification. Subsequently, based on sub-intent dependencies, matching resource status, and business rules, an improved greedy algorithm is used to generate an initial execution link in a hybrid serial-parallel manner. During execution, changes in resources, rules, and data are monitored in real time. Once a triggering condition is met, an impact range analysis algorithm is used to locate affected nodes, performing resource re-matching and link replanning only locally, and triggering a three-level service degradation strategy. This invention achieves dynamic link optimization and rapid fault tolerance, improving system execution efficiency and robustness.

The present invention discloses a full-link text-to-video generation method and system based on a multimodal large model, which belongs to the field of artificial intelligence content generation technology. Through the collaborative work of multiple intelligent agents, user input text is analyzed, a cross-modal memory library is constructed, and the unified video and audio of the generated storyboard is ensured based on the memory library content, thereby realizing the full-process automatic generation from text to video. The implementation of this method includes the following steps: obtaining user text input; text analysis, through collaborative agents, dynamically extracting, analyzing, generating, associating, and storing multimodal information of images, texts, and audios from the input text to construct a multimodal memory library; generating storyboards, generating storyboard videos and audios according to the memory library; audio and video synthesis, and forming the final video after synchronous alignment of audio and video. The present invention can achieve narrative coherence in long video generation, improve the feature consistency of storyboards, enhance the consistency of cross-modal emotions, reduce manual intervention, and improve the efficiency of video production.

A system, responsive to successfully authenticating a requestor user, can receive sender user information of a sender user, generate a link corresponding to a file repository, generate a packet, wherein the packet corresponds to a location at the file repository where a file uploaded responsive to interaction with an upload link is stored, generate a packet access token that comprises a packet identifier associated with the packet, embed the packet access token with the link to create the upload link, wherein the upload link is associated with the packet; and output the upload link to enable the sender user to access the packet to upload the file to the location at the file repository that corresponds to the packet. Once the sender user uploads the file using the upload link, a file access link can be provided to a recipient user to access the file.

Described herein are systems and methods that related to techniques for managing individual data (such as patient data). In examples, systems can be configured to obtain data associated with individual profiles; obtain data associated with individual samples indexed in accordance with a period of time; and for each individual, link one or more entries of the individual profile corresponding to the individual with individual samples corresponding to the individual based on the period of time and the profile for each individual. In some examples, the system can generate workflow profiles corresponding to each individual of the plurality of individuals based on linking the one or more entries of the individual profile with individual samples. The system can then de-identify the workflow profiles corresponding to each individual of the plurality of individuals to generate limited workflow profiles that are used to test one or more models in a development environment.

Systems, computer program products, and methods for generating dynamic links in federated data channels is configured to identify an account identifier(s) based on at least one first communication channel; determine a secondary user(s) associated with the account identifier(s); access a user account preference database comprising the account identifier(s) and data associated with the secondary user(s); generate, by an intelligent deep link generator, an intelligent deep link message comprising content associated with the account identifier; access, based on the secondary user account(s), a virtual communication registry comprising an available communication channel identifier(s); select an available communication channel identifier(s) for the secondary user(s) based on the primary channel preference; and transmit the intelligent deep link message to the selected available communication channel identifier(s).

The invention provides a method and system for generating an engineering disclosure file and a storage medium, and relates to the field of engineering construction. The method comprises the following steps: acquiring a building information model and related construction data; generating feature codes of a plurality of elements in the building information model based on the building information model and the construction data; determining a target feature code from the feature codes, wherein the target feature code is related to a target element corresponding to the to-be-generated project disclosure file; and generating an engineering disclosure file based on the target feature code. The system comprises an acquisition module, a feature code generation module, a determination module, an engineering disclosure file generation module and an interactive link generation module. The method can also be operated after a computer instruction stored in a computer readable storage medium is read. According to the method, the engineering disclosure file is generated based on feature coding, data multiplexing is achieved, the generation efficiency, accuracy and consistency of the engineering disclosure file are improved, and higher safety and smaller data processing amount are achieved.

The invention provides a harrowing operation path planning method and device, a terminal, a medium and a program product. The method comprises the following steps: acquiring a target land parcel, and determining an operation starting point on the target land parcel; determining a working line generation reference endpoint according to the geometric parameters of the target land parcel, and determining a working line reference direction according to the working starting point and the working line generation reference endpoint; generating a plurality of operating lines in the boundary of the target plot according to the operating line reference direction; generating a plurality of operation links according to the plurality of operation lines based on a path selection strategy of obtuse angle priority and distance priority; operation numbering operation is executed based on the multiple operation links, and a harrowing operation path is obtained. According to the method, through the steps of plot area division, main operation line generation, parallel operation line layout, operation link generation, number sorting and the like, full-coverage path planning of plots in different shapes is realized, the operation continuity is high, and the operation efficiency is remarkably improved.

The application discloses a high-concurrency short link generation and analysis method, which combines the advantages of short link generation technology and uses the Redis INCRBY command and a random number code to generate a sequence number with an increasing trend. The sequence number is mapped by using a 62-base hash algorithm to generate a short link. This method not only realizes the uniqueness of the short link, but also has multiple advantages such as high performance, high security and low storage space. The method can effectively manage the short link, improve the performance and security of the system, and save storage space.

Recommendation services typically struggle with sparse data scenarios. A freezing generated item start technique can use a matrix of external generated items to find a linking generated item. Embeddings can be used to determine distance between items. The technologies are useful for providing recommendations even in scenarios involving little or no transaction data.

The invention belongs to the technical field of natural language processing, and particularly discloses a method for constructing a geographic knowledge graph alignment model, which comprises the following steps of: constructing a geographic knowledge graph structure containing multi-dimensional spatial information; creating a corresponding reverse link for the relation link between each geographic entity by using a reverse link generation strategy; distributing corresponding weights to different neighbor entities of each geographic entity by using a spatial perception attention mechanism, and calculating an output feature of each geographic entity by combining an orthogonal transformation matrix of the relationship and the spatial distance; and generating a negative sample through the adversarial network, training a pre-constructed deep learning network by using the negative sample, performing error calculation by using a combination of vector loss and geographic loss as total loss in the training process, and updating a corresponding weight parameter according to an error result until network convergence reaches an expected target, thereby completing training. According to the method and the device, the accuracy of geographic entity alignment in the geographic knowledge graph can be improved.

The application discloses a kind of online payment method and device based on wechat payment suitable for meeting system, including: user fills out registration information, after registration fee related information, meeting payment system gives required cost, user sends payment request, meeting payment system generates user registration order and payment order, simultaneously, it is called the ordering interface of wechat payment platform to generate prepayment transaction, and according to prepayment transaction link, payment two-dimensional code is generated for user to scan code, after completion, wechat payment platform asynchronously informs meeting system payment result, meeting payment system updates local payment state and user registration order state, and prompts registration success to user.The application provides a kind of quick, safe payment mode to handle meeting fee payment, improves user experience and meeting organization efficiency.

The invention discloses a tamper-proof landing page parameter processing method, system and device and a medium. The method comprises the following steps: constructing a basic template, setting a data table structure, and storing template information and landing page information based on the data table structure; dynamically rendering the parameter form, and importing landing page parameters based on the rendered parameter form; determining a target landing page, and generating a corresponding promotion link based on the link generation logic; in response to a link acquisition operation of a user side, analyzing the promotion link to obtain corresponding user behavior data; the method can be used as an independent service, adopts distributed deployment, does not depend on other system components, is flexible in deployment, is simple in function, can configure and expand template parameters and landing page information at any time according to business requirements, and does not need to modify codes on a large scale; and meanwhile, a new landing page can be generated by only developing a basic landing page template and subsequently replacing parameter values, so that the workload of repeated development is reduced.

The invention provides a short link generation method, electronic equipment, a storage medium and a program product, and belongs to the technical field of computers. The method comprises the following steps: performing hash operation on a long link to obtain a hash value with a fixed length, and converting the hash value to obtain a short link identifier with a fixed length; whether a short chain identifier exists in a mapping relation or not is inquired, and if the short chain identifier does not exist in the mapping relation, the short chain identifier is determined to be a short link mapped by a long link; and if the short chain identifier exists in the mapping relation, generating a unique identifier from the short chain identifier through a snowflake algorithm, and determining the unique identifier as a short link. Therefore, the conventional network link is converted into the short link, the unique mapping relation between the long link and the short link is ensured, and the generation speed of the short link is improved.

The invention discloses a network dial test link generation method and device, a network dial test method and device, a medium and a product. Traffic data of a target network node of a target data center are collected in real time; caching the traffic data to a memory; taking a preset time interval as a training period, and obtaining all the traffic data in the training period from the memory as sample traffic data; and training the sample traffic data by adopting a preset CNN-Kmeans algorithm, and generating a network dial test link for executing a network dial test task. By adopting the method provided by the invention, the flexibility and effectiveness of generating the network dial test link can be improved, so that the network efficiency of a data center can be improved.

The present application relates to a kind of panoramic picture node link relationship automatic generation method, belong to geographic spatial information technical field.The present application relates to a kind of panoramic picture node link relationship automatic generation method, the present application first changes plane panoramic picture into spherical panoramic picture model, and renders panoramic picture;Then establish panoramic image importance judgment standard, evaluate each panoramic image importance degree;Again using clustering algorithm, divide panoramic image, construct aerial panoramic image hierarchical model, generate hierarchical list;Finally, according to link generation rule, establish different image link relationship, and according to link label position, adjust link label rendering effect.Through the above process, the present application improves aerial panoramic image display effect, improves image spatial readability, can help observer to recognize geographic topography distribution.