5671results about "Web data browsing optimisation" patented technology

Systems, computer programs, devices, and methods that enable LLM-based user interfaces within real-time and / or embedded devices. Providing user-specific context to a generically trained LLM may enable a variety of new usages and scenarios. For example, adaptive prompt augmentation may enable a user device to augment user-generated prompts with additional user context in the form of machine-generated prompts. In some variants, machine-generated prompts may be further refined to accommodate e.g., foundation model constraints, etc. APIs for user-specific data structures can be used to e.g., optimize for habitual behaviors, user idiosyncrasies, etc. Agentic query construction may enable a user device to operate with autonomy and decision-making capabilities, beyond prompt-response interactions. Stitching (or dreaming) may be used to identify pattern-based associations within high dimensional space (embedding vectors).

The invention relates to the technical field of front-end resources, in particular to an intelligent caching method and device for loading front-end resources on demand, equipment and a medium, and the method comprises the following steps: obtaining user behavior data, predicting an access page, identifying required resources, and constructing a resource dependency graph; calculating resource use frequency and importance, and determining a target resource; selecting a resource format and a compression mode according to the user equipment type; according to the resource dependency relationship graph, loading and caching target resources required by a next page possibly accessed by the user in advance; meanwhile, the caching strategy is dynamically adjusted based on the resource use frequency and the importance index; the method comprises the following steps: monitoring a network condition, dynamically adjusting a resource loading strategy, pre-loading resources before a user requests by using a resource dependency graph and a server pushing technology, and determining a target loading mode when the user accesses. Therefore, the problems that in the prior art, resource loading is low in efficiency, a caching strategy is rigid, environment adaptability is poor, user behavior analysis is insufficient, and performance optimization automation is lack are solved.

Techniques are provided for presenting a summary with search results. One method includes operations for receiving a search query, performing a search based on the search query, and determining, by a machine learning (ML) model, a user intent based on input comprising the search query, user profile information, and activity information of the user. A prompt is generated based on the search query, the user intent, and relationships between the user and entities. The prompt generation comprises selecting a prompt template comprising fields for the user intent, the search query, and the relationships, and filling in the fields. The method further includes operations for feeding as input the prompt to a generative artificial intelligence (GAI) model, receiving a summary from the GAI model, and causing presentation of the summary and one or more results returned by the search on a user interface (UI) of the device of the user.

The invention discloses a hierarchical memory page management method and system based on a random dynamic access memory and a heterogeneous memory. The hierarchical memory page management method comprises the following steps: defining the random dynamic access memory as the uppermost layer; all the heterogeneous memories are divided into corresponding hierarchies; calculating a comprehensive performance index of each hierarchy, and determining a hierarchy sequence; and dynamically determining the upgrade or degradation of the page according to the access frequency of the page and the comprehensive performance index of the hierarchy to which the heterogeneous memory belongs based on a preset intelligent page migration algorithm by taking the maximum system performance gain as a target, thereby completing the hierarchical memory page management. All the heterogeneous memories are divided into the corresponding hierarchies to facilitate management of the operating system, the heterogeneous memories with different performances are fully and reasonably utilized, after the hierarchies of the heterogeneous memories are divided, movement of the memory data among the different memory hierarchies is optimized by the preset algorithm, and the memory data can be effectively and effectively utilized under the condition that the influence on the system performance is not large. And the memory data is placed at a proper position, so that the performance gain is maximized.

Techniques for intelligent prefetching of database pages for improved query processing are described. Page access patterns for queries are collected over time and used to update a graph data structure to include collections of nodes corresponding to database pages that are often and / or recently accessed together. When processing a query, the graph data structure can be used to identify scenarios when prefetching may be helpful and to identify particular pages that should be prefetched. These pages are prefetched and placed in a local cache storage that can be rapidly accessed by query processors in comparison to the original storage location for this data, which may be across a network.

According to the technical scheme, the BIM model Web end lightweight display method comprises the following steps that S1, a project drawing is created; s2, modeling by using BIM software, and constructing a model hierarchical structure; s3, performing multi-level integration compression on the BIM model; s4, the lightweight BIM model is imported into Unity, and rendering is carried out; s5, UI interface element design is carried out by using a Unity UI; s6, a WebGL platform is set in the Unity, and WebGL items are packaged; and S7, deploying the file to a cloud server. The method has the beneficial effects that multi-level integration lightweight is adopted, and the integrity of geometric data and material texture information of the BIM model is guaranteed. The rendering detail level of the model is adjusted through Lod multi-level detail management built in Unity, and the rendering burden is reduced while the quality of the BIM model is ensured. And by utilizing a Unity asynchronous loading function, the transmission data volume is effectively reduced, and the loading speed and the rendering performance are improved.

In certain examples, computer-implemented methods include assembling automatically generated content into a website structure that is optimal to a particular user and tailored to user goals and consistent with attributes of media assets of the user. The method further includes: analyzing, for the particular user (e.g., individual or entity), inputs and media assets; constructing a set of context-aware prompts, wherein each of the context-aware prompts is associated with one or more contexts discerned in response to user inputs and media assets being analyzed; and generating, via large language modeling and based on the constructed context-aware prompts, the website content inclusive of text, code, and media elements. In photography examples, such methods customize content based on responses to constructed context-aware prompts, and use a library of predefined website content (e.g., images) with configurable parameters and customized content created dynamically.

The invention provides a WEB browsing real-time rendering method and system based on distributed rendering, and relates to the technical field of distributed rendering, and the method comprises the following steps: receiving a rendering request from a user terminal browser, obtaining page data of a target webpage according to the rendering request, preprocessing the page data, analyzing the preprocessed page data, and displaying the analyzed page data. Obtaining a DOM tree structure and a CSSOM tree structure of the page, and constructing a rendering tree adaptive to the user terminal according to the DOM tree structure, the CSSOM tree structure and the equipment parameters; dividing the rendering tree into a plurality of sub-rendering trees, transmitting sub-rendering results generated by the plurality of distributed rendering nodes to a synthesis service node, performing image compression, transmitting the compressed rendering result data to a user terminal browser, receiving and decompressing the rendering result data in the user terminal browser to obtain a rendering result bitmap, and displaying the rendering result bitmap in the synthesis service node. And displaying the information to the user for real-time interactive browsing of the user.

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.

The invention relates to the technical field of page rendering, and discloses a progressive page rendering method and system based on streaming data, and the method comprises the steps: carrying out the data segmentation through obtaining a data stream, user interaction data and equipment performance parameters, and obtaining data blocks; then, performing cache management in combination with the data, and constructing a multi-level cache pool; thirdly, performing priority grading and sorting on the data blocks to form a rendering task queue; and according to the equipment performance parameters, optimizing a task sequence and obtaining an optimized task sequence. Next, combining the optimized task sequence and user interaction data, predicting data about to enter a viewport, and generating a viewport pre-rendering task; and finally, according to the viewport pre-rendering task, the multi-level cache pool and the equipment performance parameters, performing rendering strategy optimization to obtain a dynamically adjusted rendering task flow. The method can realize dynamic resource scheduling.

The invention provides a front-end performance optimization method based on cache management, and the method comprises the steps: S1, collecting and processing user behavior data, and obtaining target data; s2, analyzing a user behavior based on the target data, constructing a user behavior model, and predicting an access demand of a user by using a prediction algorithm to obtain a prediction model; s3, generating a caching strategy based on the user behavior model and the prediction model; and S4, storing resources on the client, the server and the content distribution network node based on the caching strategy. The cache hit rate is improved; the caching strategy is dynamically adjusted according to the actual use condition of the user, and the user requirement is more accurately met; the cache preloading mechanism can shorten the response time of the user request, can adapt to different user behaviors, and improves the user experience. The system and the electronic equipment provided by the invention have corresponding advantages.

The invention discloses a knowledge graph-driven sales data multi-dimensional analysis and visualization method and system. The method comprises the following steps: constructing a sales domain knowledge graph containing products, customers and transaction entities; on the basis of the knowledge graph, preprocessing the original sales data to obtain preprocessed sales data; according to a knowledge graph and the preprocessed sales data, realizing time sequence adaptive multi-view collaborative graph embedding, and obtaining graph embedding features; fusing the graph embedding feature with the traditional sales data feature to obtain a fused feature; performing multi-dimensional analysis based on the fusion features to obtain an analysis result; performing visual presentation on the analysis result to generate visual data; on the basis of visual data, an interactive exploration interface is provided, deep analysis and insight of data are achieved, by introducing the knowledge graph technology, the complex relation between entities can be effectively captured and utilized, the association rule mining effect is remarkably improved, and the association rule mining efficiency is improved by 77.8% compared with a traditional method.

The invention relates to a replay playback display control method based on event tracing, which is suitable for event analysis and playback control in a simulation deduction process, and comprises the following steps: inputting a key event; event data analysis; key events are dynamically displayed; deducing situation backtracking; performing playback control; subscribing and pushing key events; tracing an evaluation result; and deducing data association analysis. According to the method, the playback experience of the user is improved, the user can subscribe specific key events, the system pushes event results in real time in the deduction process, multi-path analysis is carried out through different conditions, the evaluation results are visually displayed and traced, and the user is helped to comprehensively analyze the influence of the key events on deduction.

Embodiments provide for responsive optimization of websites. In some examples, a layout graph data structure is generated based on applying a trained layout model to extracted website elements from an input object including one or more website building tools. A webpage layout data structure is generated based on applying a trained structure optimization model to the layout graph data structure. An optimized webpage that is configured to render according to a plurality of screen parameters is generated based on applying a trained responsive optimization model to the webpage layout data structure and a plurality of screen parameters.

The invention discloses a method for rendering a large-scale point cloud at a web end, and belongs to the technical field of large-scale point cloud rendering, and the method comprises the steps: S1, carrying out the data preprocessing of point cloud data, and carrying out the octree division of the whole point cloud; s2, on the basis of octree division, performing Lod hierarchical data division on leaf nodes of the whole octree; s3, data which needs to be rendered currently are screened out from the octree through view cone cutting; s4, high-level data and low-level data are separated from the screened data needing to be rendered, the low-level data are used for real-time rendering, and the high-level data are used for non-real-time rendering; and S5, combining the real-time rendering result and the non-real-time rendering result, and outputting all rendering results. According to the method, a similar double-buffer structure is used, and large-scale point clouds can be rendered in a real-time and non-real-time mixed mode at a web end.

The invention discloses a pre-request optimization method for an embedded H5 page of a mobile terminal application program and a storage medium. The invention relates to the technical field of computer networks. And carrying out system environment detection, and determining whether a network state, equipment resources, a storage space and the like meet preloading conditions or not. If yes, a preloading strategy configuration file is loaded, and the file comprises the preloading resource list, the priority, the cache rule and the timeout time. And constructing a preloading task queue according to the configuration strategy. In the task queue, the resources with high priorities are loaded preferentially. According to the method, key resources are loaded in advance, so that the waiting time of a user is shortened, and particularly, the first screen content is quickly displayed, so that the application feels smoother and responds immediately. Even under the condition that the network is unstable, instant availability of the basic content can be guaranteed by means of the local cache, and the bad experience of white screen or long-time loading is avoided.

The invention relates to the technical field of exhibit recommendation, and particularly discloses an exhibit first push item optimization method combining a user portrait and user positioning, which extracts user positioning data from an indoor positioning system, and determines a target exhibit group based on real-time position and orientation information of a user, and then introducing a deep learning technology to perform semantic analysis on the user portrait data to extract user portrait features, and performing semantic matching analysis on the user portrait features and feature tags of each exhibit in the target exhibit group to determine an exhibit first push item from the target exhibit group. Through the mode, the behavior preference of the user and the real-time physical environment information can be comprehensively considered, a more accurate and personalized exhibit recommendation service is provided for the user, then the visiting experience of visitors is improved, and the resource utilization efficiency of culture display places such as museums and exhibition halls is optimized.

A search assistant engine is described that integrates with a data intake and query system and provides an intuitive user interface to assist a user in searching and evaluating indexed event data. Additionally, the search assistant engine provides logic to intelligently provide data to the user through the user interface such as determining fields of events likely to be of interest based on determining a mutual information score for each field and determining groups of related fields based on determining a mutual information score for each field grouping. Some implementations utilize machine learning techniques in certain analyses such as when clustering events and determining an event templates for each cluster. Additionally, the search assistant engine may import terms or characters from user interaction into predetermined search query templates to generate tailored search query for the user.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an intelligent document processing method, device, equipment and medium, comprising: receiving a document processing request and generating a task identifier, creating and sending a document processing task, constructing an intermediate document structure and generating a plurality of subtasks, and processing the sub-tasks, writing states and page contents into a cache, regularly querying task states, updating accessible identifiers, responding to an access request, loading the page contents, and integrating pages to generate a complete document after all the sub-tasks are completed. According to the method, the document generation task is divided into a plurality of sub-tasks which can be independently processed, and page-level asynchronous loading is realized in combination with a state cache and a regular query mechanism, so that the response speed and the system processing efficiency are remarkably improved while the generation accuracy is ensured; the problems that in the prior art, document generation delay is high, loading is slow, and user waiting time is long are effectively solved.

In particular embodiments, a consent notice configuration determination system may be configured to: (1) scan a particular website from a plurality of different locations; (2) identify one or more types of technologies available on the particular website for individuals accessing the particular website from each of the plurality of different locations; (3) determine, for each of the plurality of different locations, based on a global set of databases, legal / regulatory guidance, etc. and the one or more types of technologies, particular legal and industry requirements for each of the plurality of different locations; and (4) automatically configure, for each of the plurality of different locations, a consent interface for the particular website for each of the plurality of different locations based at least in part on the one or more types of technologies and the global set of databases.

The embodiment of the invention discloses an intelligent front-end rendering optimization method and system based on real-time environment perception. Obtaining user behavior data and environment perception data corresponding to the terminal; determining a resource loading variable according to the environment perception data based on the equipment weight model, the network weight model and the rendering weight model; performing priority weighting processing on the resource loading variable, and determining priority data corresponding to the terminal; a preset resource loading strategy is sent to the terminal according to the priority data, and the terminal performs rendering optimization on the page based on the preset resource loading strategy according to a progressive rendering template and a parallel resource scheduling method; and determining a multi-terminal operation conflict probability based on the user behavior data, determining a multi-terminal high-risk operation type, and executing intelligent front-end rendering optimization of a conflict reduction strategy based on real-time environment perception according to the multi-terminal high-risk operation type. The loading speed and rendering efficiency of the front-end application are improved, and smoother interaction experience is provided for the user.

A system and associated method for simplifying and enhancing a customer browsing experience on websites. In an embodiment, the method involves, upon determining that a customer has clicked on a clickable prompt button embedded at a website, in association with a specific product or article, displaying instantaneous product information to the user without requiring the user to type in lengthy requests. In another embodiment, upon determining that a customer has clicked on a clickable prompt button embedded at a website, providing means for enabling the customer to interact with a large language model that is capable of responding with specificity to user questions about products on the websites based on contextual information transparently provided by the clickable prompt buttons.

The invention discloses a public information publishing platform and method, and relates to the technical field of information public facilities, and the method comprises the following steps: obtaining to-be-evaluated information and publisher data, and analyzing to generate a credibility score PA of an information source; performing sentiment analysis and keyword inspection on the to-be-evaluated information, identifying sentiment deviation and semantic contradiction in the to-be-evaluated information, and analyzing a credibility score PB of the generated content; and acquiring an external authoritative data source, comparing the external authoritative data source with a time consistency check algorithm by using a text similarity algorithm, judging the consistency of the to-be-evaluated information and the external authoritative data source, and outputting a consistency reliability index Pc. According to the method, the problems of low false information identification efficiency and poor accuracy in the prior art are effectively solved by combining multi-dimensional data processing such as information source credibility evaluation, content analysis, external authoritative data source comparison, propagation path analysis and the like.

Methods, systems, and computer storage media for providing a knowledge graph using a generative AI knowledge graph (KG) engine “generative AI KG engine” in an item listing system. The generative AI KG engine supports generating the knowledge graph using a generative AI model (e.g., an LLM). In operation, a seed product is accessed in a product listing system. Using a product knowledge graph, a plurality of candidate products associated with the seed product are identified. The product knowledge graph comprises a plurality of products as nodes and a plurality of relationships as edges. The product knowledge graph is associated with a generative AI model. Using a ranker of the product listing system, a plurality of recommended products are identified. The plurality of recommended products are a subset of the plurality of candidate products. The plurality of recommended products are communicated and caused to be generated on a graphical user interface.

The embodiment of the invention provides a man-machine conversation method, device and equipment and a computer readable storage medium. The method provided by the embodiment of the invention comprises the steps that a reading document is selected to enter a first mode, and an interface of a man-machine conversation program in the first mode comprises a reading area and a conversation area; displaying the content of the reading document in the reading area; obtaining first prompt information in the dialogue area, wherein the first prompt information is used for generating a mind map of at least one part of content of the read document; and in response to first prompt information obtained in the dialogue area, generating and displaying a mind map for at least one part of content in the read document in the dialogue area.

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 relates to the technical field of artificial intelligence, and provides a webpage action execution method and device, electronic equipment and a storage medium, and the method comprises the following steps: determining a function node tree based on a page function structured analysis result, and carrying out semantic matching on a task target vector corresponding to a task text and a function description vector to obtain a candidate operation path; executing a webpage action based on the candidate operation path and the matching degree sequence corresponding to the candidate operation path, when a state verification result corresponding to the webpage action is that verification is not passed, performing path backtracking on the function node tree to obtain an operation path, executing the webpage action based on the operation path, and when an execution result corresponding to the webpage action is that verification is passed, performing path backtracking on the function node tree to obtain the operation path. And displaying the execution result of the webpage action. The function node tree is determined based on the page function structured analysis result, complex hierarchical operation is effectively processed, the operation path is obtained based on semantic matching of the task target vector and the function description vector, and the accuracy of page state tracking corresponding to the operation path is improved.

The invention discloses a hotspot mining system and method based on Internet finance and economics information and a medium, and relates to the field of Internet finance and economics hotspot mining systems, and the system comprises an information collection module which collects finance and economics information in a multi-source manner, determines a collection period according to source characteristics, and carries out the screening and storage; the text preprocessing module is used for cleaning and analyzing texts, standardizing terms and carrying out classification labeling; the hotspot evaluation index calculation module is used for calculating indexes such as classification weighting, TF-IDF and the like; the hotspot mining and analyzing module is used for setting threshold mining hotspots, analyzing emotion and the like; and the visual display module is used for visually displaying the hot spots and supporting interaction and pushing. According to the invention, financial information is integrated, and hotspots are mined accurately. The information acquisition efficiency is improved, and decision-making investment and research are assisted. Information spreading is promoted, and financial field development is promoted.

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.