72 results about "Content adaptation" patented technology

The invention discloses an intelligent communication content adaptation system and method based on user intention recognition. The system integrates and processes texts, voices, emoticons and unstructured behavior data through a multi-modal input analysis module; the deep learning intention recognition engine adopts a triple attention mechanism, current input and weighted historical interaction features are fused, and multi-level intention classification including basic operation, semantic targets and emotion driving is output; the real-time emotion state analysis module fuses acoustics, semantics and physiological indexes to generate a dynamic emotion matrix; the content adaptation decision engine is based on the intention confidence and the emotional state; and the multi-channel output optimization module performs cooperative adjustment on the speech synthesis rhythm, the text abstract and the visual interface according to the speech synthesis rhythm and the text abstract. According to the method, the perception precision of the deep intention and emotion of the user in a complex scene is remarkably improved, the individuation and multi-channel adaptive optimization of the response content are realized, and the communication efficiency and the user experience are effectively improved.

The invention relates to the technical field of auxiliary writing systems, in particular to a structured auxiliary writing system based on multi-agent collaboration. The system specifically comprises a writing task demand analysis and modeling module, a multi-agent system architecture construction module, a writing task disassembly and subtask distribution module, a multi-source knowledge retrieval and integration module, a structured content generation module, a format specification and quality evaluation module, a logic verification and content adjustment module and a user feedback iteration and model optimization module. The writing task demand analysis and modeling module firstly performs surface analysis on a writing task of a user, determines the type, theme, target audience, core demand and quality requirement of the writing task, and converts a fuzzy writing demand into a quantifiable and executable structured task model; according to the invention, the limitation of a traditional writing mode and an existing single-function auxiliary tool is solved.

The invention belongs to the technical field of culture propaganda and display, and particularly relates to an immersive culture propaganda system based on an AR technology. Comprising a characteristic culture resource library module, a user portrait analysis module, a culture deep hierarchical analysis module, an immersive narrative engine module, an autonomous exploration interaction module, a dynamic content generation module, a multi-sensory experience enhancement module and a feedback optimization module. Each module takes a characteristic culture resource library as a content basis, takes a user portrait analysis module as a demand guide, realizes content adaptation through a culture deep layering analysis module, and creates an interesting and autonomous experience form by means of an immersive narrative engine, autonomous exploration interaction and multi-sensory experience enhancement module. The content freshness feeling is kept by means of the dynamic content generation module, finally, full-link closed-loop iteration is formed through the feedback optimization module, content supply, demand matching and experience presentation are changed into continuous optimization, and the problems that propaganda culture contents are similar and poor in interestingness are systematically solved.

The invention relates to the technical field of advisement player management, and discloses an AI indoor and outdoor advisement player management system based on virtual reality. An environment sensing module of the system obtains indoor and outdoor environment parameters and user interaction data of an advertising machine deployment scene, and extracts spatial layout features and dynamic behavior features; the content adaptation module is used for matching advertisement content library candidate materials and generating a content adaptation scheme in combination with a delivery strategy; the virtual reality mapping module converts the scheme into a three-dimensional advertisement model and adjusts rendering attributes according to scene illumination and view angle parameters; the abnormity monitoring module collects running state data in real time, and analyzes deviation from a preset reference parameter to identify hardware or content playing abnormity; and the cloud collaboration module uploads the exception to the cloud analysis platform, receives the exception handling strategy and synchronously updates the local content library and the delivery strategy library. According to the system, the advertisement adaptability and the display effect can be improved, and the equipment management efficiency is optimized.

A method provides techniques for generating dynamically adapted content from received source content based on cultural and other differences and user / device presentation preferences. The method includes obtaining source content from a source application. The method further includes identifying one or more items of convertible information within the source content, and determining characteristics that can be correlated to device presentation preferences for presenting the source information in a format / style that matches the device presentation preferences. The method further includes creating a modified version of the source content with the at least one of the one or more items of convertible information converted to its renderable presentation alternative for presentation on the electronic device, and presenting the modified version of the source content via an output device such as an electronic display or audio speaker.

The invention discloses an immersive cinema dynamic content adaptation control method based on multi-modal fusion, and the method comprises the steps: collecting at least one non-contact physiological signal of a target audience seat area in real time, the physiological signal comprising a respiratory wave signal collected by a millimeter wave radar or a photoplethysmography signal collected by a near-infrared photoelectric sensor; performing time-frequency analysis on the physiological signal, and extracting a physiological wake-up characterization value in a current time window; the physiological wake-up characterization value comprises a heart rate variability change rate and a heart rate deviation value; constructing a dynamic damping adjustment model, and calculating a virtual damping coefficient of the seat movement system at the current moment based on the physiological wake-up characterization value; and the virtual damping coefficient is converted into an execution instruction of a seat motion controller, and damping force output of the motion platform is adjusted in real time. The technical problem that the pre-programmed motion feedback is disjointed with the real-time physiological and psychological state of the audience can be solved, the experience adaptability and comfort of the cinema seat are improved, and the system safety is improved.

The invention provides a short video content personalized recommendation method and system based on big data, and relates to the technical field of short video recommendation. The method comprises the following steps: acquiring historical short video watching data of a user, determining a plurality of fragment watching events and constructing a plurality of watching content sequences; constructing an event behavior vector of each watching content sequence, performing watching scene division on a plurality of fragment watching events to generate a plurality of watching scene clusters, performing content adaptation analysis on each watching scene cluster, constructing a content adaptation map of each watching scene cluster, and obtaining a content adaptation map of each watching scene cluster; and performing content preference analysis on each watching scene cluster and constructing a content preference sequence, generating a plurality of video recommendation optimization units of the user based on the content adaptation map and the content preference sequence, and performing personalized short video content recommendation on the user based on the plurality of video recommendation optimization units. According to the invention, the accuracy of personalized recommendation of the short video is improved.

The invention provides a page content processing method and device, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps that a first network content page is displayed, an artificial intelligence control is displayed in the first network content page, and the artificial intelligence control is used for adjusting content in the first network content page through artificial intelligence; in response to a trigger operation for the artificial intelligence control, displaying an instruction input control, and displaying a first adjustment instruction input based on the instruction input control, the first adjustment instruction being used for instructing to execute a first adjustment operation on the content of the first network content page; and displaying a second network content page in response to an application operation for the first adjustment instruction, the second network content page being obtained by executing the first adjustment operation on the content through artificial intelligence. Through the method and the device, the content adjustment efficiency of the network content page can be improved.

The invention discloses a text translation method and device, electronic equipment and a storage medium, and the method comprises the steps: translating an original text through employing a neural machine translation algorithm, and obtaining an initial translated text; inputting the initial translation text into a pre-constructed culture knowledge base, and outputting a content adjustment strategy corresponding to the initial translation text through the culture knowledge base; processing the initial translated text according to the content adjustment strategy to obtain an intermediate translated text, and then calling a pre-constructed policy database to verify the intermediate translated text; and generating a target translated text corresponding to the original text according to a verification result of the intermediate translated text. According to the technical scheme provided by the embodiment of the invention, the problems of cultural semantic deviation, content violation risk and the like in cross-regional translated text can be solved, ambiguity in the translated text is eliminated, and the accuracy and flexibility of a text translation result are improved.

We will provide programs that improve the convenience of our services. [Solution] The computer functions as a control means that changes the content being played on a device in response to the heat state of a specific part of the device running the game. The control means also controls the device to an idling state in which the game is interrupted if the temperature of the specific part exceeds a predetermined level. Furthermore, the device is made capable of notifying the end of the idling state, and the system is equipped with a modification means that changes the duration of the idling state according to the content to be played after the idling state ends.

A method includes receiving, by a user device, a first bitstream. The first bitstream includes data corresponding to a media item. The first bitstream includes data for display at a first aspect ratio. The method further includes receiving a second bitstream including data corresponding to the media item for display at a second aspect ratio. The method further includes providing the first bitstream to a first bitstream decoder and the second bitstream to a second bitstream decoder. Operations of the first bitstream decoder and operations of the second bitstream decoder overlap in time. The method further includes determining whether to display the media item at the first or the second aspect ratio. The method further includes generating a composited media item based on the first bitstream and the second bitstream. The method further includes displaying the composited media item.

Systems and methods are presented herein for balancing rendering of haptics and graphics of a version of media content from a server at a client device. At a server, a request is received for a media asset for interaction on a haptic enabled device. Based on the request, haptic feedback settings of the haptic enabled device associated with the request are determined. The server transmits to the haptic enabled device a version of the media asset comprising haptic feedback rendering criteria compatible with the haptic enabled device. The version of the media asset is comprised of graphics and haptics rendering criteria transmittable over a current network connection strength between the server and the haptic enabled device and also incorporates user interaction data. The haptic enabled device renders the version of the media asset based on the haptic feedback settings.

This invention discloses a multi-task operation ticket continuous printing system and method. The system includes: a status management module for centrally maintaining and managing the status of tasks, steps, and page numbers during the printing process; a dynamic layout calculation module for real-time measurement and pagination decisions on the operation ticket content, including a paginator unit to determine whether drawing is allowed based on the real-time remaining space on the page; and a structured drawing module for executing page drawing based on the layout calculation results, with its drawing cycle following a "measurement, decision, execution" process and synchronously updating the status. The method, based on the above system, forms a closed-loop control process through four steps: initializing the printing status, performing dynamic layout calculation, performing structured page drawing, and updating the printing status, which is executed cyclically until all tasks are completed. This invention achieves accurate dynamic content adaptation, intelligent pagination, globally continuous page numbers, and unified format output for multi-task, multi-step operation tickets, solving the problems of chaotic layout and difficult status management in existing technologies. The system architecture is clear and easy to maintain and expand.

An object of a system according to an embodiment is to appropriately translate and adjust an overseas blog for Japanese.SOLUTION: A system includes a reception unit, a translation unit, and an adjustment unit. The reception unit receives a URL. The translation unit analyzes the URL accepted by the acceptance unit and translates the contents of the blog. The adjustment unit adjusts the content translated by the translation unit for Japanese.SELECTED DRAWING: Figure 1

Parallel processing computer systems and methods for real-time multimodal behavioral classification and dynamic content adaptation are provided. A parallel processing pipeline implements concurrent execution of sensor data ingestion, neural network inference, content adaptation, and rendering stages across specialized processor resources including graphics processing units and tensor processing units. The parallel processing pipeline achieves end-to-end latency of less than 200 milliseconds from sensor data capture to rendered content output, representing a reduction of at least 60% compared to conventional sequential architectures exhibiting latencies exceeding 500 milliseconds. A trained neural network model comprising feature extraction modules with parallel convolutional branches, a bidirectional Long Short-Term Memory temporal processing module, and a classification module processes multimodal sensor data including video frame data, audio waveform data, motion tracking data, and physiological sensor data to classify behavioral states and calculate engagement levels. A dynamic adjustment algorithm modifies content parameters including difficulty level, environmental complexity, and reinforcement schedule based on real-time performance metrics to maintain user performance within target ranges.

The application relates to a content adjustment method and device, computer equipment, a storage medium and a product. The method comprises the following steps: displaying a dialogue page between a target intelligent agent, the dialogue page comprising initial media content and an adjustment entrance; in response to a triggering operation on the adjustment entrance, displaying at least two templates in the dialogue page; the templates are determined based on target published content; the target published content is content that is published in advance by a user on a content platform and is distributed on the content platform; in response to a triggering operation on a target template, displaying target media content; the target media content is obtained by adjusting the initial media content based on the target template by the target intelligent agent. The method provides an adjustment entrance for the user on the dialogue page, the user can directly select an adjustment template in the target published content through the adjustment entrance, thereby realizing content adjustment of the same content template as the target published content, reducing the content adjustment difficulty, and improving the content adjustment efficiency.

A method, apparatus, non-transitory computer-readable medium, and image generation system comprise obtaining an object prompt and a background prompt, wherein the object prompt describes an object with a targeting effect and the background prompt describes a scene. A noise input is generated based on the object prompt and the background prompt, the noise input specifying the object's location within the scene. An image generation model generates a synthetic image based on the object prompt, the background prompt, and the noise input. The synthetic image represents the object at the location within the scene with the targeting effect applied to the object.

This destination recommendation system is provided with a plurality of recommendation agents that recommend destinations to each user, and an adjustment agent that adjusts the plurality of recommendation agents. The adjustment agent recommends the destination to each recommendation agent on the basis of the congestion condition of the destination, the congestion condition of the parking lot near the destination, or the congestion condition of the route to the destination, and the utility of each recommendation agent at present or in the past. The presence or absence of presentation of the recommended content is determined for each recommendation agent or the recommended content is determined from among the recommended content candidates. The adjustment agent includes an AI.

The present application relates to the technical field of securities information processing, and discloses a securities information intelligent accurate pushing method and system based on big data, which comprises the following steps: collecting multi-dimensional data sources in a securities big data platform, separating interest feature vectors and information content feature vectors about users from the multi-dimensional data sources, and calculating the correlation matching degree of the interest feature vectors and the information content feature vectors; determining the real-time scene attributes of the users, calculating the content adaptation priority of securities information in the securities big data platform in the pushing process; obtaining historical transaction frequency, holding size and information interaction rate data of the users, calculating the demand urgency of the users about the securities information, determining the target information pushing accuracy of the users; calculating the effective pushing weight of the securities information, combining the target information pushing accuracy, performing content arrangement and pushing processing on the securities information, and obtaining the pushing result. The present application can improve the accuracy of securities information intelligent accurate pushing based on big data.

The invention provides an intelligent putting algorithm optimization method and system applied to a short video streaming platform, and belongs to the technical field of internet advertisement putting, and the method comprises the steps: firstly determining an initial content pool containing short video materials and content tags classified according to themes, and a target user group reaching range covering user behaviors and regional features; then collecting real-time interaction data of the target user group to the initial content pool, generating a content adaptation coefficient reflecting matching association of the material and the user based on the real-time interaction data, and adjusting the initial content pool delivery priority and the target user group reaching range coverage dimension according to the content adaptation coefficient; and finally, circularly executing the operation until a stable delivery strategy is formed and is applied to continuous stream delivery. Therefore, the short video stream delivery accuracy and efficiency can be improved.

The present application relates to the field of digital technology of tourism and travel, and discloses a tourism and culture content generation method and device based on a large language model, wherein the device comprises a tourism and culture knowledge graph global construction and dynamic updating module, a scene demand semantic analysis and generation constraint standardization definition module, a culture narrative chain intelligent construction and core content original generation module, a multi-form content adaptation and immersive expression optimization module, a tourism and culture content culture authenticity verification and compliance verification module, and a content effect quantitative evaluation and generation model iterative optimization module; the method comprises the following steps: S1, a tourism and culture knowledge graph construction stage; S2, a demand analysis and constraint definition stage; S3, a narrative chain construction and core content generation stage; S4, a content form adaptation and immersive optimization stage; S5, a content verification and compliance verification stage; and S6, an effect evaluation and model iteration stage; the present application breaks through the problem that traditional tourism and culture content production relies on artificial creation and content homogenization is serious.

The invention discloses an interactive audience participation feedback method based on sentiment analysis and behavior prediction. User behavior data and text sentiment information are collected in real time through an audience terminal, behavior analysis and sentiment recognition are executed in parallel on a cloud server, and behavior tags and multi-level sentiment scores are generated; in combination with the historical portrait of the user, personalized interactive feedback content including an expression package, a knowledge point card, a microphone connection invitation or a voting entry is dynamically generated through a weighted scoring mechanism, and the pushing frequency is controlled to be not more than once every three minutes to avoid interference; meanwhile, when the individual continuously carries out negative feedback or the overall negative emotion ratio of the live broadcast room exceeds a threshold value, an instruction is automatically sent to the live broadcast stream pushing end, and real-time content adjustment is achieved. The method effectively solves the problems that traditional live broadcast interaction lags behind, is single in form and lacks emotional response, remarkably improves the audience immersion, participation and platform retention rate, and is suitable for various live broadcast scenes such as education, entertainment and e-commerce.

For role-based content adaptation, a set of predefined user roles and role-based transformation instructions are obtained from the role-based access control system. The role-based transformation instructions define content adaptation rules for each of the roles. Then, a large language model is used to transform the input content for each of the obtained roles, creating a role-based adapted content instance of the input content. The large language model is used to retrieve role-related content from the input content using the role-based transformation instructions. The role-based adapted content instances are stored in a role-partitioned content storage, where each instance is tagged to identify the associated role. Through role-aware content partitioning, various content types can be managed efficiently.

A method, apparatus, transitory or non-transitory computer-readable medium, and presentation generation system comprise receiving an input prompt describing a topic and generating a presentation outline based on the input prompt using a text generation model. Subsequently, a presentation structure is generated based on the presentation outline, the presentation structure including a structured attribute specifying a slide layout element. Based on the presentation structure, a presentation on the topic is generated, the presentation including a slide containing the slide layout element.

Methods and systems directed to a computer-implemented educational content delivery system that integrates media content with curriculum projects through streaming technology are disclosed. An example system includes a central server hosting educational content, a content management system for mapping educational objectives to entertainment content, and a learning management system providing user authentication and adaptive learning pathways. The system tracks user engagement and comprehension levels in real time through a student interface and teacher portal. The system includes features for geo-locational content customization, blockchain-enabled content verification, and streaming-only assessments. The architecture supports multi-device synchronization and incorporates collaborative virtual spaces for peer-to-peer interaction. The system processes user interaction data through machine learning algorithms to provide dynamic content adjustments and personalized learning experiences. An example method provides DRM-compliant integration of educational and entertainment content to user devices, and supports updating the content based on user engagement metrics.

A generative artificial intelligence (GenAI) driven education platform provides personalized learning experiences by leveraging large language models (LLMs) and secure data storage. The platform refines training objectives, generates context-aware scenarios, and adjusts difficulty based on user performance. User data—such as past performance, roles, and preferences—remains on-premises for privacy, supporting dynamic content adaptation without exposing sensitive information to external servers. Contextual materials, including news articles or internal documents, enhance scenario realism. Real-time feedback pinpoints knowledge gaps, while iterative updates to test cases continually evolve training modules. Applications include phishing simulations, compliance training, professional exam preparation, and more. Interactive components, such as multimedia quizzes and immersive simulations, are rendered through a customizable interface. This hyper-personalized approach boosts engagement, retention, and relevance by incorporating granular user data and ongoing performance metrics. Ultimately, organizations gain a robust, adaptive framework to deliver secure, high-impact learning across academic, corporate, and professional environments.

The invention discloses a method for synchronizing and publishing works of multiple types of social media accounts, and relates to the technical field of social media operation, comprising the following steps: step 1, content structuring processing: analyzing the content of works created by a user; extracting text, picture, audio and video elements in the data, and storing the text, picture, audio and video elements according to a unified structured format; step 2, cross-platform content adaptation: according to the type and format requirements of the target social media platform, performing automatic adaptation conversion on the structured content; step 3, publishing strategy optimization: determining optimal publishing time and frequency based on content recommendation algorithm characteristics of the target platform and user active time data; 4, multi-platform synchronous publishing: through calling an open API interface of each social media platform, publishing the adapted content to a corresponding account according to an optimized strategy; and 5, synchronization and update management: maintaining the association relationship and state information of the content published by each platform.

The application provides an electronic bidding document generation method and system based on artificial intelligence, which first acquires the bidding demand text published by the bidding party, the historical bidding document material set accumulated by the bidding party and the bidding demand change record of similar projects in the industry, and constructs a bidding scene semantic graph containing demand nodes, multi-modal material nodes, trend association nodes and dynamic semantic association strength information between nodes. Then, according to the bidding scene semantic graph, an electronic bidding document dynamic framework is generated, a cross-modal artificial intelligence content generation model is called to generate a multi-modal module content preliminary draft of each functional module unit. Then, the multi-modal module content preliminary draft is subjected to semantic consistency adjustment and connection optimization processing to obtain integrated multi-modal electronic bidding document content. Finally, combined with the presentation specification information and the industry bidding preference data, the integrated content is subjected to structure layout optimization and content adaptation adjustment processing to obtain the final multi-modal electronic bidding document, which significantly improves the quality and pertinence of the electronic bidding document.

The invention discloses an aging-suitable video script generation method and system based on multi-modal cognition, and relates to the technical field of data processing, and the method comprises the steps: building a gold standard sample library through constructing a professional knowledge-old people cognition adaptation evaluation system containing five-dimensional quantitative indexes; the method comprises the following steps of: extracting a text and cognitive adaptation multi-modal features, inputting the text and cognitive adaptation multi-modal features into a preset multi-modal deep network to generate an adaptation score and a script, and finally iteratively optimizing or outputting a target script according to a score threshold value, thereby realizing automatic standardized generation of an aging-suitable video script, multi-modal fusion and constraint generation in consideration of medical accuracy and cognitive adaptation features. And the script generation efficiency and the content adaptation degree for the elderly user are improved.

The present application relates to display control technical field, specifically to LCD liquid crystal display screen's remote batch video play control method, this method is through establishing with multiple display screen control terminal communication, obtains its display attribute information, and accordingly carries out logical grouping. After receiving video content and uniform play instruction, the improved frame sequence scheduling algorithm is called, according to the difference of the display resolution and refresh rate of each screen group, real-time transcoding and fragmentation are carried out to the video, and the customized video frame data stream is generated and distributed to the corresponding group. The control terminal drives the display screen to play and synchronously feedback state. The control center dynamically optimizes the scheduling algorithm parameters based on the feedback information, and executes correction distribution to the abnormal screen group. The present application improves the consistency of the play quality and the system robustness through the differentiated content adaptation and play state closed-loop control of the heterogeneous display screen network.