The disclosed embodiments include computer-implemented systems and processes that generate and provision, in real time, directed digital content based on decomposed structured messaging data. For example, an apparatus may receive a plurality of messages that characterize first data exchanges initiated between a first counterparty and second counterparties during a first temporal interval. Each of the messages includes elements of message data associated with a real-time payment requested from the first counterparty by a corresponding one of the second counterparties. Based on the elements of message data, that apparatus may predict an occurrence of a second exchange of data that involves the first counterparty during a second temporal interval, and may transmit notification data that includes product data characterizing an available product associated with the predicted occurrence of the second data exchange to a device operable by the first counterparty for presentation within a digital interface.
An advanced search system leverages a pre-trained large language model to enhance user query responses. The system, equipped with hardware processors, a search query via an interface and accesses a pre-trained large language model designed to respond to the search query. The system fine-tunes the model to generate a task-specific generative model. The system employs the task-specific generative model to generate a search result to the search query and analyzes the search result based on a performance metric associated with the task-specific generative model. The system refines the task-specific generative model based on the analyzing of the search result.
A data processingsystem for providing a service to extract information from a resource includes: a network interface for communicating over a computer network; a scraper tool to receive user instruction specifying a target resource and to extract content from the specified resource, wherein the user instruction further specifies a desired restructuring of the extracted content; and a prompt generator to structure the extracted content into a prompt for an Artificial Intelligence (AI) model, the prompt further directing the AI model to restructure the extracted content based on the user instruction. The prompt generator is to call the AI model with the generated prompt. The service is to receive restructured content from the AI model and provide the restructured content to a workstation submitting the user instruction, the restructured content presenting the content of the target resource in a form according to the user instruction.
The invention discloses an electromechanical engineering construction information operation and maintenance management method and system based on the Internet, and particularly relates to the technical field of data management. Constructing an initial BIM model based on the design drawing, and generating three-dimensional model data containing equipment geometric information and space coordinates; a three-dimensional laser scanning device or a high-precision positioning sensor is used for obtaining the geometrical morphology and actual coordinates of a real object on site; the collected point cloud data is compared with the initial BIM model through a spatial data matchingalgorithm, deviation is recognized, the BIM model is automatically updated, and model precision dynamic correction is achieved; binding the updated equipment information and an equipment entity with a two-dimensional code, and synchronously binding an actual position coordinate through an indoor positioning label; uploading the corrected model and equipment information to a cloud operation and maintenance platform to realize information centralized management and multi-terminal sharing; the method improves electromechanical engineering operation and maintenance efficiency and information precision, and has good application value.
Provided is a system and method for digital content generation and recommendation. A first plurality of stories are collected from various content sources over a network. A second plurality of stories are selected from the first plurality of stories such that a degree of similarity between any two stories of the second plurality of stories is below a determined threshold. A summary and a headline are generated for a first story of the second plurality of stories. A set of images are selected, from an image database, for the first story based on the generated summary and headline. A multimedia item including the summary, the headline, and a first image of the set of images is created. The multimedia item is presented on a lock screen interface of a user device, displaying the generated summary, the generated headline, and the first image on the lock screen interface.
Anonymity and privacy of a client device that fetches a content from a web server are improved by using an intermediate device located along the communication path between the client device and the web server. The primary or exclusive function of the intermediate device may be to serve as an intermediate device, and may be implemented as a stand-alone dedicated client device located at a residential premises, or may be integrated with another device, such as a router or a sensor unit, and may communicate using wired communication (such as LAN) or wireless communication (such as WLAN). The intermediate device may modify a content request from the client device in order to avoid identification or blocking by a web server that uses web tracking, such as fingerprinting. The modification may use a web browser, such as a headless browser, for emulating a different device or user.
A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bankserver stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bankserver, and stays connected to it, for allowing a communication session initiated by the tunnel bankserver. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.
A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bankserver stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bankserver, and stays connected to it, for allowing a communication session initiated by the tunnel bankserver. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.
A method for overcoming intermittent, temporary, or other fetching failures by using multiple attempts for retrieving a content from a web server to a client device is disclosed. The URL fetching may use direct or non-direct fetching schemes, or a combination thereof. The non-direct fetching method may use intermediate devices, such as proxy server, Data-Center proxy server, tunnel devices, or any combination thereof. Upon sensing a failure of a fetching action, the action is repeated using the same or different parameters or attributes, such as by using different intermediate devices, selected based on different parameters or attributes, such as different countries. The repetitions are limited to a pre-defined maximum number or attempts. The fetching attempts may be performed by the client device, by an intermediate device in a non-direct fetching scheme, or a combination thereof. Various fetching schemes may be used sequentially until the content is retrieved.
The invention belongs to the technical field of webpage data analysis, and particularly relates to a webpage data analysis method based on a large language model, which comprises the following steps: acquiring a target website URL (Uniform Resource Locator) input by a user; carrying out preliminary analysis on the input URL by utilizing a large language model; the DOM structure of each website is analyzed, and HTML elements and the hierarchical relation thereof are extracted; generating a corresponding data crawling script according to an analysis result; executing the data crawling script, and extracting required data from each website; the extracted data is preprocessed; performing multi-source fusion on the preprocessed data; extracting main information from the fused data; and storing the finally processed and extracted information in a database. According to the method, automatic analysis of complex webpage data, intelligent entity extraction and knowledge expansion and efficient data fusion and duplicate removal are realized.
Disclosed are various embodiments for providing non-fungible tokens (NFT) as a mechanism for verifying ownership of payment instruments such as stored value payment instruments. First, a computing device can receive a purchase notification, the purchase notification indicating that a first user has purchased a stored value payment instrument. Then, the computing device can create a non-fungible token (NFT) on a distributed data store in response to receipt of the purchase notification. Next, the computing device can associate a unique identifier of the NFT with the stored value payment instrument. Subsequently, the computing device can receive a first public key associated with the first user. Then, the computing device can update an owner identifier of the NFT with the first public key associated with the first user.
One or more settings of a power tool device can be automatically adjusted based on a location of the power tool device relative to a work object. Work object data that indicate a work object type for the work object can be determined, and work location data can be determined based on the work object data. The work location data indicate work locations on the work object where a power tool device action is to be performed. A position of the power tool device is also determined. An electronic controller can determine a power tool device setting corresponding to the power tool device action to be performed at the work location nearest to the power tool device position. The power tool device setting is transmitted to the power tool device by the electronic controller, where the power tool device setting indicates an operating parameter of the power tool device.
The invention discloses a method and a system for intelligently acquiring and analyzing webpage merchant information. Automatic acquisition of the merchant information is realized through five main steps of intelligent webpage capture, intelligent field identification, accurate address information analysis, intelligent merchant grouping and automatic page discovery. According to the method, a traditional rule-based extraction method is abandoned, information such as merchant names, phone numbers and addresses in webpages is automatically recognized by using context semantic analysis and mode recognition technologies, and accurate association grouping of fields is realized through a dynamic weight multi-dimensional similarity calculation method; and the merchant information can be continuously discovered and collected by using an automatic page discovery mechanism without manually specifying a collection path. The technical bottlenecks that specific rules need to be written for different websites, webpage structure changes are difficult to deal with, multi-merchant information grouping cannot be processed and the like in a traditional method are broken through, the method adapts to various webpage structure changes, and the automation degree, accuracy and efficiency of merchant information collection are greatly improved.
A server identifies, by parsing through code of an online page associated with a contact centersystem, information related to offerings associated with the online page. The server identifies a set of intents based on the information, at least a portion of the set of intents corresponding to at least one of headers or menu items of the online page. The server updates the set of intents based on supplemental information accessible via a hyperlink from the online page. The server transmits the updated set of intents to a first user device. The server receives an acceptance of a subset of the updated set of intents from the first user device. The server stores, in an intent data repository, the accepted subset of the updated set of intents.
The invention discloses an aero-engine system demand servitization collaborative management method, which comprises the steps of constructing a semantic mapping rule of an aero-engine demand document based on an OSLC specification, and converting an unstructured document into a standardized data model; standardized access of elements in the demand document is achieved through resource identification and a servitization interface, and a Web-based demand document interoperation mechanism is constructed; multidisciplinary collaborative design is carried out based on a demand document interoperation mechanism, and a demand document is updated in real time to form a complete design demand document; constructing an intelligent change analysismechanism based on project tracking to realize multi-version comparison and change propagation path visualization of the design requirement document; constructing a fine-grained version evolution and conflict management mechanism based on the demand entry influence network, and executing demand version merging and conflict automatic detection in a parallel development scene; according to the method, aero-engine system demand document entry level collaborative editing and standardized service interface can be realized, and the development efficiency is remarkably improved.
The invention provides a polyester fabric production whole process monitoring management method and system. The method belongs to the technical field of production process monitoring. The method comprises the following steps: deploying various types of sensors at each key node of a polyester fabric production line; various physical parameters and environment information related to polyester fabric production are collected in real time; meanwhile, an operation state monitoring system of the production equipment is integrated to obtain equipment data; carrying out deep fusion processing on multi-source heterogeneous data obtained from the polyester fabric production holographic sensing architecture; constructing a data association model; comprehensively evaluating the production situation based on the model in combination with the technological process and the quality standard of polyester fabric production; generating a production situation assessment report through production situation assessment; the whole-process data tracing system provides a traceable basis for quality disputes, raw material problems and the like, enhances the capability of controlling supply chain risks, meets the requirements of downstream customers on product traceability, and improves the brand credibility.
Provided are a system, a program in a user terminal, and a server with which it is possible to provide the position of a physical store at which it is possible to purchase a purchase-considering product. This server has: an assessment unit configured to determine whether the product ID of the purchase-considering product matches at least one of the physical store product IDs; a physical-retail-store-specifying unit; and a transmission unit for transmitting image data pertaining to the product and location information pertaining to the physical retail store to a user terminal. The user terminal has a display unit for displaying a map. The display unit displays, at a position on the map that is specified by the location information of the physical store, an image of a product based on the image data.
An online system receives a user request from a client device through the interface, identifies one or more featured products based on the query, and generates a prompt for input to a machine-learned generative language model. The prompt specifies both the user's request and a request to suggest the featured products in association with a response to the user request. This prompt is fed into a machine-learned language model via a model serving system for execution. The online system receives a response generated by the model, generates a query response based on the response generated by the model, and transmits instructions to the client device to display the query response. The online system collects data on user interactions with the uses the collected data to fine-tune the machine-learned generative language model.
The browser tab page data storage method supporting data encryption comprises the steps that browser tab page interaction behaviors are monitored in real time to generate a dynamic factor, and a session key dynamically changing along with the life cycle of a tab page is generated in combination with a process ID of the tab page; based on a self-adaptive encryption strategy, respectively encrypting structured data and unstructured data of the label page; wherein the structured data are encrypted according to field sensitivity levels, and the unstructured data are encrypted through mapping binding of a secret key and the data; the encrypted data and a timestampvoucher of the session key are stored in an associated mode, decryption operation is only allowed to be completed in a label page process memory generating the session key, and the session key is not stored in a landing mode; and when the label page is closed, synchronously clearing the decryption data in the session key and the process memory. According to the method and the device, the defects that the dynamic generation of the key cannot be realized and the key cannot fall to the ground at present are overcome.
An automated server-based scheme allows a hosted service such as an individual computer system, computer application, or network service, to infer root certificate authorities present in client trust stores. Presenting a random selection of one or more digital certificates to a given client seeking a favorite icon URL, in response to a Transport Layer Security (TLS) connection request from the client, allows the service operator's trained machine learning system to define a customized set of potentially-trusted root certificate authorities based on learned successes and failures of connections with the given client, as well as other parties. The hosted service operator may employ a certificate manager and / or client-specific rules for presenting the certificates.
The invention discloses an HTML (Hypertext Markup Language) information extraction method and device based on a multi-LoRA cascade strategy, equipment and a medium, and relates to the technical field of HTMLinformation extraction. The information extraction method comprises the following steps: acquiring a document and inputting a large language model; and the large language model judges whether a table is included. And if the table is included, calling a table processing LoRA adapter to extract table content and convert the table content into pseudo natural language description, calling a text processinglogic module to extract adjacent text contexts of the table, and then performing semantic integration to obtain first text information. And if the table is not included, calling a text processing module of the table processing LoRA adapter to extract the text content, and obtaining the first text information. And calling a key information extraction LoRA adapter, and extracting the structured key value pair from the first text information to generate JSON data. And calling a nested structured generation module to convert the JSON data into a target sequence in a multi-layer nested JSON format.
The invention relates to the field of enterprise evaluation, in particular to an enterprise evaluation method based on big data analysis, which comprises the following steps: acquiring target enterprise data of a target evaluation enterprise; performing data division on the target enterprise data of the target evaluation enterprise to obtain a target evaluation subset; determining a subset processing strategy according to the fragment execution state of each target evaluation subset; in the first confidence analysis mode, fragment quality parameters of one type of evaluation subsets are determined according to the subset execution efficiency and the reference correlation index, an efficiency adjustment mode is determined according to the fragment quality parameters, and confidence reference coefficients of the correlation analysis texts are determined; in the second confidence analysis mode, determining a subset execution coefficient of the second-class evaluation subset according to a reference association index and a theme association proportion, and determining a set setting mode and an effective evaluation strategy according to the subset execution coefficient; and determining the final evaluation score of each piece of target evaluation data. According to the method and the device, the accuracy of effectiveness evaluation of the obtained webpage information is improved.
The disclosure relates to a method and an apparatus, a device and a storage medium for processing book information. The method includes: in response to a target triggering operation, displaying a book page, wherein the book page is configured to display book attribute information of a plurality of books; displaying recommendation information of at least one target read book in the book page, wherein the read book is a book with unread book contents; the recommendation information at least includes key information of an unread chapter in the target read book. According to the embodiment of the disclosure, the exposure rate of the target read book can be improved, the user is guided to continue reading the target read book through the recommendation information, and then the reading probability of the target read book is improved.
The invention relates to the technical field of cyberspace asset surveying and mapping, in particular to a cyberspace asset dynamic fusion drawing method based on knowledge graph enhancement, which constructs an asset attribute co-reference resolution mechanism based on asset information quality and defines asset information dataquality measurement indexes based on real network environment asset information data. And the asset information data quality is comprehensively evaluated, and network semantic co-reference attribute resolution in the multi-source asset information data is guided. A network space asset mapping knowledge domain ontology structure of a six-tuple structure is designed, a network asset entity and asset relation is extracted through asset attribute representation and asset protocol analysis, and the network asset entity and relation are accurately represented in combination with the ontology structure. The extensive resolution domain name asset entity range in the asset information data is identified by using a misreported domain name asset entity alignment algorithm, and effective public main domain assets are extracted to align misreported asset entities, so that network asset fusion drawing noise can be eliminated, and the accuracy of network asset knowledge representation results is improved.
The invention relates to a BIM model mobile terminal and mixed reality cooperation method and system and a medium, and the method comprises the steps: carrying out the space segmentation and space grid division processing of a BIM model according to a pre-created index structure, obtaining the index information of a plurality of space models and a plurality of space grids, and obtaining a plurality of space models and a plurality of space grids based on the index information; and constructing a unique identification code of the spatial model. Identifying the identification code through the mobile terminal, loading the spatial model corresponding to the identification code, obtaining spatial coordinates in the spatial model according to the gesture operation, converting the spatial coordinates into spatial grid index information through a preset conversion rule, and generating a loading instruction of the mixed reality equipment. And the mixed reality equipment loads a space model corresponding to the space grid index information according to the loading instruction, and superposes the space model to a real building scene through a positioning strategy. The problem of low cooperation efficiency of a BIM model mobile terminal and mixed reality in related technologies is solved.
A method for overcoming intermittent, temporary, or other fetching failures by using multiple attempts for retrieving a content from a web server to a client device is disclosed. The URL fetching may use direct or non-direct fetching schemes, or a combination thereof. The non-direct fetching method may use intermediate devices, such as proxy server, Data-Center proxy server, tunnel devices, or any combination thereof. Upon sensing a failure of a fetching action, the action is repeated using the same or different parameters or attributes, such as by using different intermediate devices, selected based on different parameters or attributes, such as different countries. The repetitions are limited to a pre-defined maximum number or attempts. The fetching attempts may be performed by the client device, by an intermediate device in a non-direct fetching scheme, or a combination thereof. Various fetching schemes may be used sequentially until the content is retrieved.