121 results about "Content adaptation" patented technology

The invention discloses a collaborative personalized learning system and method based on a large model, and relates to the technical field of collaborative learning, and the system collects and fuses multi-modal data, generates a student state vector, plans a personalized learning path based on the state and a knowledge graph, and generates multi-modal explanation content according with the student style. The method comprises the following steps: extracting a student reasoning path, identifying thinking deviation, analyzing task performance, generating a path and content adjustment suggestion, identifying a motivation state, triggering an intervention strategy, receiving a teacher strategy, and realizing path and style co-construction. The multi-modal content of the matched style is generated, adaptive intervention is achieved in combination with inference analysis and emotion adjustment, and the learning efficiency and the teaching response intelligent level are improved.

The invention discloses a live broadcast content adjustment method and system based on user interaction behavior analysis, and belongs to the field of image communication, the live broadcast content adjustment method based on user interaction behavior analysis comprises the following steps: processing real-time bullet screens, filtering invalid information by using an NLP technology, obtaining a first processing bullet screen, and combining a domain knowledge base to obtain a second processing bullet screen; performing standardized expression on the first processing bullet screen to obtain a second processing bullet screen, extracting key demand words in the second processing bullet screen, and obtaining a third processing bullet screen; an improved BIRCH clustering algorithm is adopted, bullet screen merging requirements are processed from the third step based on semantic similarity, and the clustering cluster popularity is calculated in real time according to the formula that popularity = occurrence frequency * speaking user value weight; the method has the beneficial effects that the barrage content in the live broadcast process is processed, and the current user requirements are ranked, so that an anchor can intuitively obtain common requirements of most audiences, voting is not needed to be initiated to aggregate user opinions, and the efficiency is high.

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 field of artificial intelligence and personalized audio recommendation, and discloses an intelligent radio content dynamic adjustment method based on scene perception. The method comprises the following steps: extracting an original feature vector according to multi-dimensional information of a user, and preprocessing the original feature vector to obtain a standardized user state input vector; determining a current scene label of the user according to the standardized user state input vector and a scene recognition model; according to the current scene label, screening adaptive audio content from a content library of the intelligent radio station, and constructing a candidate content structure set; generating a user portrait vector according to the historical behavior data; according to the user portrait vector, reordering each piece of candidate content in a candidate content structure set to obtain a recommended content sequence; and pushing to the user according to the recommended content sequence, and updating a user portrait vector based on behavior feedback. According to the method, the user experience and the content adaptation accuracy are remarkably improved, and a complete closed-loop feedback learning mechanism is constructed.

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 provides a dynamic data-driven adaptive content generation and risk control method and system and a medium, and the method comprises the steps: a data processing step: obtaining real-time dynamic data related to a specific theme, and processing the real-time dynamic data into structured data in a preset format; a preliminary content generation step: constructing a stylized model based on a preset style corpus, and generating preliminary content based on the structured data and the stylized model; a content adaptation step: acquiring a user portrait of the target user, and performing adaptation adjustment on the preliminary content according to the user portrait to generate adaptive content; and a risk verification processing step: before the adaptive content is output, carrying out risk verification on the adaptive content according to a preset risk rule base, and executing a preset risk disposal operation when a risk is verified. According to the method, personalized, adaptive and compliant high-quality contents can be generated in real time, the efficiency is improved, the risk is reduced, and the user experience is enhanced.

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 provides an electronic bidding document generation method and system based on artificial intelligence, and the method comprises the steps: firstly obtaining a bidding demand text issued by a bidding party, a historical bidding document material set accumulated by a bidding party, and bidding demand change records of similar projects in an industry; and constructing a bid inviting scene semantic map containing demand nodes, multi-modal material nodes, trend association nodes and inter-node dynamic semantic association strength information. Generating an electronic bidding document dynamic framework according to the bidding scene semantic map, and calling a cross-modal artificial intelligence content generation model to generate a multi-modal module content first draft of each function module unit; and then semantic consistency adjustment and connection optimization processing are carried out on the first draft of the multi-modal module content to obtain the integrated multi-modal electronic bidding document content. And finally, in combination with the presentation specification information and the industry bidding preference data, carrying out structural typesetting optimization and content adaptation adjustment processing on the integrated content to obtain a final multi-modal electronic bidding document, so that the quality and pertinence of the electronic bidding document are remarkably improved.

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 family-centered child development platform designed to support and enhance a child's academic, emotional, social, and cultural growth. By utilizing an AI-driven system for personalized learning, immersive VR / AR technologies for engaging educational experiences, and a community-building module for peer interaction, it offers an integrated solution for holistic child development. The system incorporates emotion detection, biometric feedback, and emotion-driven content adaptation, which dynamically adjusts the child's learning experience based on real-time emotional and physiological data. Additionally, the platform features culturally relevant content, promotes intergenerational collaboration, and includes a gamified learning environment to foster motivation and engagement. A secure interaction system ensures safe online communication, while the adaptive challenge system maintains an optimal level of difficulty tailored to the child's evolving needs. By combining these technologies, the platform provides a personalized, interactive, and supportive learning journey for children, supported by parents and educators.

Embodiments of the disclosure include a method of presenting a video stream that is to be received by a plurality of content consumers, comprising: receiving, by a first electronic device used by a content consumer, the video stream; collecting, by a first processor coupled to a first program of the first electronic device, content consumer data corresponding to the content consumer that is receiving the video stream; receiving, by the first program, the content consumer data; sending, by the first program, first instructions based on the content consumer data to the first processor; and updating, by the first processor, an audible or visible characteristic of the video stream being provided to the content consumer based on the sent first instructions.

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.

A post-processing of video content in order to provide a capability to insert ad content, having a method to produce a modified video content from an original video content. The method comprising: analyzing the original video content to detect at least one marker, said marker comprising a marker surface delimited by a marker identification; loading profile data of a target user; determining, based at least on the profile data a replacement content; adjusting the replacement content into the marker surface; and replacing into the original video content the marker surface by the adjusted replacement content to produce the modified video content.

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.

The invention provides a semantic understanding-based system intention dynamic guiding method, which comprises the following steps of: analyzing semantic connection in continuous consultation according to time period distribution and content overlapping description of a high-frequency problem, identifying topic switching frequency and association depth of students from dormitory allocation to military training grouping, and obtaining a structured association topic chain; performing optimization processing on the guide content set to obtain a standardized guide text library, performing priority ranking in combination with solution time consumption and question intervals, obtaining a ranked content distribution list through a comprehensive scoring mechanism, and determining a pushing opportunity; if it is detected that the resource pressure exceeds a threshold value due to sharp increase of the consultation amount in the peak period, the pushing frequency is adjusted according to the feedback channel and the repetition frequency, the content is adjusted to be a concise question and answer card, and an optimized distribution scheme is obtained.

The invention relates to the technical field of task scheduling, in particular to a task scheduling method of an all-in-one machine based on edge computing, which comprises the following steps: classifying event information through event key attributes according to a pre-trained event classification model to obtain event classification tags; performing display precision matching according to the event classification label to obtain a display parameter combination of each screen; according to the historical bandwidth data of each screen, analyzing the fluctuation of the bandwidth data during transmission of each screen to obtain a bandwidth stability coefficient of each screen; and according to the content adaptation coefficient and the bandwidth stability coefficient of each screen, coordinating a display parameter combination of each screen so as to realize task scheduling of multi-screen display content. According to the method, the most appropriate display content can be configured for each screen, the utilization rate of screen resources can be maximized, the display effects of different screens can be dynamically adjusted according to the physical performance of the screens and the content characteristics of events, and therefore the overall display effect is improved.

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

The invention provides a cultural and creative product real-time scene experience system and method based on edge computing, and the method comprises the steps: carrying out the multi-thread parallel emotional state recognition of a multi-mode experience data flow of a target user through a frame buffer queue constructed based on an edge server side, and obtaining all emotion feature vectors of the target user; constructing a dynamic evolution track of emotional state change of the target user according to all the emotional feature vectors; according to the dynamic evolution trajectory and behavior preference characteristics of target user creative product experience in the user digital portrait, generating a creative content interaction sequence matched with an emotional state; and performing real-time rendering on the creative content interaction sequence through a cloud high-performance rendering node, and pushing a rendering flow to an interaction terminal through an edge server to perform interaction experience response. By adopting the scheme provided by the invention, emotion-preference coupled content adaptation and rendering stream edge adaptation transmission can be realized in the real-time scene experience of the cultural and creative product so as to guarantee the real-time emotion interaction continuity.

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.

Embodiments of the present disclosure relate to a method and apparatus for displaying information, an electronic device, and a product. The method comprises: in response to an interaction behavior satisfying a triggering condition, displaying a target control on a media playback page, wherein the target control at least displays object attribute information of a target object, the target control is used for prompting a user to trigger a preset interaction operation, and the target object is determined on the basis of the object attribute information and / or service attribute information of objects in an object set corresponding to the media playback page. In addition, the method further comprises: in response to interaction information of the object attribute information of the target object satisfying a preset condition, adjusting content, which is displayed in the target control, to be prompt information associated with the target object, so as to prompt the user to trigger the preset interaction operation.

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.