2246results about "Web data browsing optimisation" patented technology

The invention discloses a Web business process intelligent automatic execution system based on deep learning, and relates to the technical field of Web automation, and the system comprises a data acquisition and semantic analysis module which is used for acquiring business process description and Web page multi-modal data and generating structured business process representation; the deep learning feature extraction module is used for performing deep learning feature extraction on the multi-modal data to obtain corresponding structural feature vectors, visual feature vectors and text feature vectors; the cross-modal association fusion module is used for generating unified page feature representation; the page element intelligent identification module is used for identifying and positioning the target element based on the unified feature representation; the instruction generation module is used for generating an operation instruction sequence; and the execution control module is used for executing the instruction and dynamically adjusting the strategy. According to the method, a complete automatic link from business description to technology execution is established, conditional branch processing and complex dependency relationship management are supported, and the workload of manual programming and maintenance is reduced.

The invention provides a front-end resource dynamic preloading method and system based on user behavior intention prediction, and relates to the technical field of computers, and the method comprises the steps: collecting continuous behavior data of a user in real time in a client browser, carrying out the feature extraction of the collected behavior data, and generating a behavior feature vector; on the basis of an intention prediction model deployed at a client, according to the behavior feature vector, performing real-time prediction on the click intention probability of each interactive element in the page; when the predicted click intention probability exceeds a preset threshold value, triggering a resource preloading instruction; and according to the resource preloading instruction, dynamically creating a browser preloading label, and starting background downloading of a target resource so as to perform dynamic preloading of a front-end resource. According to the method and the device, the resource utilization rate and the page loading efficiency are improved, so that the waste of a server and network resources is reduced while the user experience is improved.

The invention discloses a webpage 3D rendering and control method, which comprises the following steps: step 1, asynchronous resource loading and scene initialization: carrying out network-aware asynchronous resource loading by adopting an intelligent prediction driven block loading technology, optimizing memory occupation through a self-adaptive space block and LRU cache strategy, and carrying out scene initialization; meanwhile, constructing a hierarchical scene tree to manage object transformation and a bounding box; and step 2, dynamic rendering pipeline execution: deploying a hierarchical visual degradation engine, dynamically switching multiple effects of soft shadow / PCF hard shadow, SSR precision and I BL sampling based on a five-level frame rate threshold, combining a PBR material adaptive rendering and motion perception LOD system, performing seamless detail level switching through normal reservation simplification, GPU-driven Morph transition and an asynchronous pre-calculation assembly line, and performing dynamic rendering on a dynamic rendering pipeline. The rendering optimization coordinator integrates the multi-dimensional parameters to generate a degradation instruction, and visual consistency is maintained; and step 3, user interaction and control feedback.

The invention discloses a multi-scene multiplexing-oriented VUE dynamic component interface configuration and rendering method, which comprises the following steps of: receiving a multi-scene configuration file, and extracting and coding to generate a scene feature vector; component layout parameters, resource priorities and rendering strategies are automatically generated through the two-stage generative adversarial network, and application parameters are output after the generated parameters are optimized; on the basis of application parameters, asynchronous component loading and priority queue scheduling are adopted, and on-demand loading of components is achieved in combination with dependency topology sorting; dynamically dividing a rendering area by using an adaptive Gaussian algorithm, and rejecting invalid rendering through a boundary box mechanism; the DOM operation frequency is reduced by adopting an optimization Diff algorithm; and constructing a component cache pool through an elimination strategy. According to the method, intelligent configuration and efficient rendering of the interface component under multiple scenes are realized, the development efficiency is improved, and the performance is optimized.

The invention provides a multi-tenant data pushing method, and relates to the technical field of computer software and information, and the method comprises the steps: achieving unified identity authentication through single sign-on, and dynamically distributing a pushing authority based on an authority strategy; defining conversion rules and tasks by utilizing a visual interface of the low-code configuration center, and generating a standardized data packet; and centralized scheduling is carried out in a multi-tenant management and control center, and the stability of the system is guaranteed by combining a current limiting and dynamic retry mechanism. Source system data are collected in real time, and format conversion is completed through a rule engine after grammar, permission and event state verification. And pushing in an asynchronous mode, and recording full-link information including a tracking ID, a timestamp, a data fingerprint and a response state. And when pushing fails, a compensation mechanism is triggered, degradation or retry is carried out according to a preset rule, final consistency of data is ensured, and the reliability and maintainability of the system are improved.

The invention provides an AI streaming output rich text real-time rendering method and system based on minimum rendering unit recognition. The method comprises the steps that an AI model outputs a text stream to an AI agent; defining a minimum rendering unit (MRU), wherein the minimum rendering unit is self-consistent in format and complete; the AI agent analyzes the text streams in real time, the analysis process continuously judges whether the currently accumulated text streams form a complete MRU or not, and if yes, a rendering trigger mark is added for output; if not, directly outputting; the client receives the output result and the text stream and judges whether current rendering is triggered or not, and if yes, the rendering result is displayed; and if not, continuing to receive the output result until the rendering result is displayed after the rendering is triggered. According to the method, real real-time rendering can be realized, and a user can see a formatted result to appear on a screen step by step and smoothly while AI generates contents, so that response speed perception and interaction experience are greatly improved, and the pain point of blank screen waiting is solved.

Certain aspects of the disclosure provide artificial intelligence (AI) methods and systems for generating personalized social media content with trend integration. A method generally includes retrieving data from data sources that includes customer interactions with a business, and inventory data of the business, determining trending-product pairs that increase engagement of the customers with products recorded in the inventory data of the business based on the retrieved data. A generative artificial intelligence (AI) model is used to generate one or more of a caption, a hashtag, and a promotional image that are personalized to each of the customers in response to receiving prompts that contain information about the customers, information about trending-product pairs, and social media platforms of the customers. The method sends one or more of the captions, the hashtags, and the promotional images that are personalized to the customers to social media platforms of the customers.

The invention discloses a home page multi-component parallel prefetching and rendering first screen acceleration method and device and a storage medium, and the method comprises the following steps: constructing a global dependency relationship model based on the metadata and dependency relationship of each component of a home page, and calculating the priority for each component according to a predefined priority evaluation strategy, generating a component scheduling sequence constrained by the priority and the dependency relationship; controlling a concurrency control strategy of the component; preferentially rendering a visual placeholder structure, and smoothly replacing the real content to a user visible area through a progressive rendering replacement strategy; when the variable quantity of the component data exceeds a preset threshold value, triggering an increment updating strategy based on the difference content; generating a cache identifier according to component granularity, reading and writing data in a multi-level cache structure based on the cache identifier, and ensuring data consistency by adopting a background asynchronous verification strategy; and collecting performance indexes in a page rendering process, and adjusting the priority evaluation strategy, the concurrency control strategy and the increment updating strategy according to the performance indexes.

The invention discloses a front-end performance optimization method and system based on dynamic resource loading and rendering optimization, belongs to the technical field of webpage front-end development, and aims to solve the technical problems that an on-demand loading scheme lacks dynamic strategy adaptation, is not deeply combined with a rendering process and cannot be dynamically optimized according to a real-time environment. Comprising the steps of predicting page blocks or resource types possibly accessed by a user through a behavior prediction model on the basis of user behavior data, and dynamically calculating a loading weight of each resource on the basis of the resource types, the distance between the resources and a viewport, the user behavior data and a user behavior prediction result; based on the network state and the equipment memory capacity, according to a preset resource loading strategy, setting a loading mode and a priority of resources; splitting a long list or a component in the page block into a plurality of independent frame rendering tasks, and processing the frame rendering tasks in batches in an idle period of the browser; and pre-defined performance indexes are monitored and recorded in real time.

A computer-implemented method for computational textual search to find and display search identified information in documents. Search queries are processed over one or more documents either at a server or user device using match schemes that produce both binary (match or no match) and non-binary (i.e. multiple matching values) results and have relative fuzziness relationships. A fuzzier match scheme implies more results and fewer false negatives and a less fuzzy match scheme implies fewer results and fewer false positives. This fuzziness relationship allows, without changing a search string, for users to quickly change from a match scheme to a fuzzier or less fuzzy match scheme depending on user evaluation of results as containing too many false negatives or too many false positives—without becoming a programmer of complex search string metadata or an expert user of advanced search capabilities.

The invention provides a social network hierarchical visualization method and system based on a structure entropy and a coding tree, and the method comprises the steps: obtaining graph data, building the coding tree based on the graph data with the minimized structure entropy, and enabling the coding tree to be used for capturing a hierarchical community structure of a graph; constructing a minimum entropy priority queue, adaptively selecting non-leaf nodes for division by adopting the minimum entropy priority queue, and distributing a current structure entropy value as a weight for a cross-community edge; force-oriented layout based on structure entropy and layout entropy is used, attraction is adjusted based on edge weight, standard repulsive force is kept, and a force model is established; solving a layout entropy maximization target for the force model to calculate a layout result; and for the calculated layout result, outputting and rendering a layout result with a clear community separation effect as a final visualization result.

The invention relates to the technical field of artificial intelligence, and particularly provides a large-model front-end dialogue interaction method, system and device and a storage medium, and the method comprises the steps: obtaining a cue word, and determining a historical dialogue text quoted by the cue word; the prompt word and the historical dialogue text are packaged into a streaming post request, the streaming post request is sent to a server, and a large model is deployed in the server; obtaining response data generated by the large model and returned by the server, and adding the response data to a buffer queue; recursively analyzing the response data in the buffer queue to obtain a reply text; and rendering the reply text word by word in a dialogue window, and adaptively adjusting a scroll bar of the dialogue window. According to the method, the interaction naturalness and the system response efficiency can be remarkably improved.

The invention relates to the technical field of cloud computing, and particularly provides a data cache prefetching method and device, a storage medium and a program product. According to the method, file access characteristics representing file access preferences of a user are obtained based on historical access data of the user, a target file meeting a cache prefetching strategy is determined based on the file access characteristics, and the target file is cached and prefetched. By dynamically analyzing the historical access data of the user, the system can adjust the cache content in real time, actively load the data possibly required by the user and ensure that the high-frequency access data is always available, and the mechanism not only improves the data access speed, but also remarkably reduces the influence caused by network delay.

The invention provides a DMP-based crowd selection method and apparatus, and an electronic device, a data management platform pre-processes multi-source user data, generates user features corresponding to the pre-processed data based on a preset rule, converts the obtained user features into user tags based on a pre-constructed tag system, and sends the user tags to the user management platform; the method comprises the following steps: acquiring a user tag, storing the acquired user tag in a distributed storage mode, displaying the stored user tag through an operation interface, converting a circling operation for a target user tag displayed on the operation interface into a rule tree, and circling a target user corresponding to the target user tag based on the rule tree. And associating the circling result with the identification information of the target user corresponding to the circling result to generate a crowd packet, and expanding the obtained crowd packet by adopting a similar crowd expansion algorithm. According to the invention, the problems of complex rule configuration, insufficient real-time performance, limited expansibility and the like of a DMP-based crowd selection system in the prior art can be solved.

The invention relates to the technical field of information flow intelligent recommendation, and discloses a real-time interactive feedback information flow content adaptive optimization method and system.The real-time interactive feedback information flow content adaptive optimization method comprises the steps that user interaction data are collected and subjected to robust preprocessing to obtain standardized interaction feature vectors; constructing a user personalized interaction baseline model to obtain a multi-level behavior reference basis, identifying a real-time interest signal of a user and updating an interest state, dynamically adjusting a recall strategy and executing multi-path recall to obtain a candidate content set, adaptively adjusting a sorting feature weight and executing sorting, and dynamically controlling diversity to execute rearrangement to obtain a final recommendation list, and meanwhile, obtaining an interest prediction score in a sorting stage by adopting a hierarchical reasoning architecture and a model distillation technology. The interest change of the user can be captured in real time, the matching degree of the recommended content and the instant interest of the user is improved, and the user experience and the recommendation effect are improved.

The invention relates to a user portrait recognition method and a website recommendation method based on semantic analysis, and the user portrait recognition method comprises the steps: dividing a website which is browsed by a current user in a first preset time period and relates to the same category into a plurality of sub-categories, and taking each sub-category as a point of a portrait; and for each sub-category, determining the sub-category as a current sub-category, determining other sub-categories as adjacent sub-categories, constructing edges, pointing to all the adjacent sub-categories, of the current sub-category, and taking a correlation coefficient, pointing to the adjacent sub-categories, of the current sub-category as a weight of the edges to form a user portrait. Consumption habits of consumers and relevance among different commodities are fully considered, on the basis, recommendation weights of websites are corrected layer by layer through browsing information and consumption information of current users in combination with browsing information and consumption information of group users, personalized and high-accuracy website recommendation schemes are provided for the users, and user experience is improved. And the user experience is improved.

The invention discloses an optimization method, system and device for an audio production test system and a storage medium, and relates to the technical field of audio, and the method comprises the steps: building a multi-level code scanning data return stabilization mechanism, and guaranteeing the uploading reliability of code scanning data in a production test process through a local buffer queue, network state real-time evaluation and an intelligent retry strategy; constructing a multi-version application processor AP compiling adaptation framework, and automatically loading corresponding function libraries and compiling parameters through version automatic identification, compatibility index evaluation and dynamic link library management; a cross-platform compatible work order query interface is constructed, the work order query interface is dynamically rendered through a self-adaptive layout algorithm, a compiling adaptation frame suitable for different AP versions is adopted, dynamic link library management and automatic compiling parameter configuration are combined, the universality and expansibility of a tool are greatly improved, meanwhile, a cross-platform interface self-adaptive rendering technology is adopted, and the working efficiency is improved. Therefore, the work order query tool can provide consistent user experience under multiple operating systems.

A system for a visual design system (VDS) includes storing at least one layout and an associated layout signature where the associated layout signature represents a hierarchical composition of the semantic types of the components; a unit to analyze components of an existing layout provided by a user of the VDS, to determine a component set signature, to compare it with at least one stored associated layout signature and to find a set of candidate layouts which are visually diverse and semantically similar to the existing layout; where the unit presents the set of candidate layouts to the user, updates the existing layout according to a user selected layout. It also includes an experiment system to create, run and analyze the results of at least one experiment using at least one of: A / B and multivariate testing on user selected layouts to provide information on user preferred layouts for the VDS.

The invention relates to the technical field of computer networks, in particular to a webpage project construction and access control method, which comprises the following steps: acquiring a Web project source code file, packaging the Web project source code file, configuring a root directory to correspond to the action of a rendering page, and generating a packaged resource file; uploading the packaged resource file to a code warehouse for code hosting, triggering an assembly line execution process, and storing the packaged resource file in a workpiece generated in the assembly line execution process; receiving an access request of a user, and determining item positioning information through a unique identifier in the access request; verifying the user access authority; if the user permission state indicates that the user permission verification is passed, requesting a corresponding resource file from a workpiece, and generating rendering page information containing API basic address information; and sending the rendering page information to a browser for page rendering.

The invention relates to the technical field of quality management, in particular to a lightning protection detection management method and system, electronic equipment and a storage medium. The method comprises the following steps: responding to a new detection operation through an applet in a mobile terminal used by a lightning protection detector, and displaying a project information filling interface; according to template information selected based on the project information filling interface, displaying a corresponding template filling interface; filling detection data obtained in the lightning protection detection process according to filling operation based on the template filling interface; uploading the detection data; and generating a lightning protection detection report according to the detection data through indication of a webpage browser of the terminal, and auditing, signing and issuing the lightning protection detection report. According to the method, the lightning protection detection management efficiency is improved. The invention also discloses a lightning protection detection management system, electronic equipment and a storage medium.

Techniques for caching data objects are described. An expiry policy and a reference for one or more user interface (UI) objects is maintained. A user interface (UI) comprising the one or more UI objects is presented. A determination that a trigger of the expiry policy for a first UI object has been triggered is made based on first data from the UI or the computing device. The first UI object is determined to be expired based on the trigger. A request for a second UI object and second data is generated based on the reference for the second UI object and the expiry policy of the first UI object. The request is transmitted to an information source. The UI is updated to replace the first UI object with the second UI object in response to receiving the second UI object and the second data.

The embodiment of the invention provides a resource preloading method which can be applied to the technical field of big data. The method comprises the following steps: quantifying behavior characteristics of a user to obtain quantified behavior characteristics; determining a correlation degree between the behavior characteristics of the user and target resources, wherein the target resources are to-be-preloaded resources; calculating the demand probability of the user for the target resource based on the quantized behavior characteristics and the correlation degree; and determining whether to pre-load the target resource according to the demand probability and the attribute of the target resource. The embodiment of the invention further provides a resource preloading device and equipment, a storage medium and a program product.

The invention belongs to the technical field of research, development and design, and relates to a page layout generation method, device and equipment and a storage medium thereof. Performing data depth feature extraction on the preprocessed original data to obtain data depth features; carrying out attention weight calculation on all constituent elements in the page by adopting a preset depth self-adaptive sparse attention mechanism in combination with the data depth features, and generating a dynamic sparse mask matrix in combination with a context sparse perception result; through decoding and layout rendering, a visual page layout is rendered in a target interface, in combination with a preset depth adaptive sparse attention mechanism, the attention weight calculation complexity is reduced, more attention is paid to the calculation of page layout data depth features, the computing power resource consumption of a computer is reduced, the page generation efficiency is improved, and the page generation efficiency is improved. The method is applied to the field of financial or health care medical services, and can improve the generation efficiency of service electronic propaganda posters or APP activity pages.

The invention provides a page jumping method, a page jumping device, electronic equipment and a storage medium, and is applied to the technical field of computers. The method is applied to a server, and comprises the following steps: in response to an input voice of a rider, performing intention recognition on the input voice to obtain a target operation intention of the input voice; determining a target page based on the target operation intention; determining whether the current page is a target page or not; when it is detected that the current page is not the target page, a control instruction is sent to the user side so that the user side can automatically jump to the target page, and the control instruction comprises the target page address of the target page. According to the method, the convenience of page jumping can be improved.

Disclosed embodiments provide a framework for provisioning a virtual browser application environment accessible using a native browser application. The virtual browser application environment is implemented on a virtual machine instance, where the virtual environment is isolated from other functionality of the virtual machine instance. In response to a request to access the environment, a set of access control policies are identified. The access control policies define a level of access to actions that can be performed within the environment. The environment is presented through a website executed on a user's native browser application. The user's interactions with the environment and with any other users within the environment are monitored in real-time according to the access control policies.

The invention relates to the technical field of network advertisement processing, and discloses a method for intelligently identifying and automatically closing website advertisements based on a multi-modal large model. The method comprises the following steps: acquiring text data, image data and interactive behavior data of a website page in real time, and performing format standardization processing on each modal data to obtain a multi-modal original data set; extracting text features, image features and behavior features of the advertisement candidate area according to the data set, and establishing a feature association index; performing cross-modal semantic fusion on the feature association index through a pre-trained multi-modal large model to generate an advertisement recognition probability value; comparing the advertisement recognition probability value with a preset threshold value, judging whether the advertisement candidate area is a target advertisement or not, and generating a recognition result; and triggering a page element operation instruction based on the identification result, executing an automatic closing operation on the target advertisement area, and recording an operation log. According to the method, interference of advertisements on user browsing is effectively reduced, and network use experience is improved.

The invention discloses a processing method and device for search engine optimization, electronic equipment and a storage medium, and the method comprises the steps: carrying out search optimization for obtaining search engine recommendation on a target information object to be put into a network through a target generative model, and obtaining an optimized target information object; putting the optimized target information object to a network; searching metadata by an engine for searching the optimized target information object, and accessing the metadata by a user; generating multi-dimensional model optimization data according to information content, engine search metadata and user access metadata contained in an optimized target information object page released to a network, and a search-recommendation rule of a search engine; optimizing and storing the target generative model by adopting an optimization mode matched with the model optimization data of each dimension; therefore, the ranking of the website links of the optimized target information object in the search result of the search engine is improved.

The invention provides a GPU, a data access method, a medium and a program product. Wherein the GPU comprises a rendering core, a GPU bus and a second-level cache; the rendering core sends a target access address of the data to be accessed to the GPU bus; the GPU bus determines a target first index corresponding to the target memory access address, and sends the target memory access address to a second-level cache through a target first memory access channel corresponding to the target first index; the target first index is generated by performing random operation based on a first bit in a binary address of the target first address block; the target first address block is an address block to which the target memory access address belongs in the plurality of first address blocks. According to the embodiment of the invention, the load balance of each access channel can be realized, the utilization rate of the access channels is improved, and the storage bandwidth utilization rate is improved.

The invention relates to the technical field of information, and discloses a hotel resource digital management method and system and a storage medium. The method comprises the following steps: constructing a unified semantic data model; multi-source data fusion and real-time state perception visualization are realized; cross-department collaborative arrangement is carried out; and intelligent decision support and optimization are realized. According to the invention, a comprehensive digital management platform based on a unified semantic data model, multi-source data fusion, real-time state perception, cross-department collaborative workflow arrangement and intelligent decision support and optimization is constructed. According to the platform, global visualization and real-time dynamic management of each core resource of the hotel are realized, and the operation efficiency and the fine management level of the hotel are remarkably improved. The departments of guest rooms, catering, conference rooms, spare part inventory, human resources, finance and the like do not combat each other, but perform cooperative work based on a unified data view.