129 results about "Virtual user" patented technology

An advanced AI system, known as Bayesian Graph-Based Retrieval-Augmented Generation with Synthetic Feedback Loop (BG-RAG-SFL), combines Bayesian evaluation, graph-based retrieval, and synthetic data feedback to create a continuously improving AI platform. The present invention integrates multiple LLMs, optimizing their performance while managing complexities across different models. Key features include a knowledge graph-based RAG system, a Bayesian evaluation network, a secondary ground-truth graph for verification, synthetic data generation for ongoing improvement, and a multi-agent verification system. The system also functions as an AI operating system capable of acting as a virtual user with screen I / O control and managing multiple computers as an intelligent process automation system.

A display improvement support method and device for improving a display in accordance with the user's conscious reaction is provided. [Solution] In the display object improvement support device, the generation AI control unit executes the following steps: a reaction prediction prompt generation step of generating a reaction prediction prompt that instructs the generation AI to predict the reaction that will occur in the mind of a virtual user having user profile information of at least one of age, sex, occupation, height, and weight when the virtual user uses the display object; a reaction acquisition step of inputting the reaction prediction prompt into the generation AI and acquiring reaction information, which is information related to the reaction, from the generation AI; a screen operation prediction prompt generation step of generating a screen operation prediction prompt that instructs the generation AI to predict the screen operations that the user will perform on the screen of an information device based on the reaction information; and a screen operation acquisition step of inputting the screen operation prediction prompt into the generation AI and acquiring screen operation information, which is information related to screen operations, from the generation AI.

An Adaptive Tangible User Interface (ATUI) for use in an extended reality environment in which tangible interfaces are composed in real time based on identified affordances of existing objects in the physical environment and the input tasks of a user. An extended reality system can be provided with instructions executable by one or more processors to perform processing including: generating a representation of the real-world environment within a field of view of the user; identifying physical objects within the real-world environment; generating a set of possible performable gestures afforded by available object affordance factors; determining potential input tasks; composing performable gestures for the potential input tasks; and selecting a physical object for use as an adaptive tangible user interface. Techniques for designing a virtual user interface, overlaying the virtual user interface on a selected ATUI physical object, and maintaining alignment of the virtual user interface, are also provided.

The invention provides an intelligent agent training management method, system and device, and belongs to the technical field of intelligent agents, and the method specifically comprises the steps: taking an interaction demand type between a virtual user and an intelligent agent as a basis, combining the change conditions of interaction user data in different time periods, and carrying out the training management of the intelligent agent; determining an available interaction time period between the virtual object and the intelligent agent, and determining an analysis processing strategy of interaction data between the interaction user and the intelligent agent according to the data of the available interaction time period; according to the method, the interaction management strategy of the virtual object in the time period except the available interaction time period is determined according to the analysis processing result of the interaction data of the virtual object in the available interaction time period and the interaction data between the interaction user and the intelligent agent, so that the updating processing efficiency of the intelligent agent is improved, and meanwhile, the influence on a normal business process is also reduced.

The invention discloses an Internet of Things card intelligent management method and system based on multiple operators, and relates to the field of multi-operator network collaborative management, and the method comprises the steps: collecting network service quality data, a network state, a multi-operator network and an available bandwidth index, encrypting a device identifier and a service type, and transmitting the encrypted device identifier and service type to an intelligent management platform; distributing a virtual user identification module identity, and generating a terminal exclusive key; an operator trains a local long-short-term memory network quality prediction model based on local network data to obtain a model gradient, and encrypts the model gradient generated by terminal exclusive key training to obtain an encrypted model gradient; and performing decryption and aggregation calculation on the encryption model gradient through a security aggregation algorithm to generate global network quality prediction model parameters. According to the invention, through an innovative federal learning encryption gradient aggregation mechanism and a block chain intelligent settlement system, efficient collaborative management of the Internet of Things cards of multiple operators is realized.

The invention provides a virtual user simulation method and system for dialogue testing, and the method comprises the steps: obtaining a plurality of pieces of effective multi-round dialogue data from a to-be-tested system, and carrying out the multi-label labeling, so as to construct a basic sample data set containing user portrait labels, the key sample data set further comprises user emotion tags; constructing a group optimization strategy model, performing cold start training based on the basic sample data set, and performing intensive training by using a multi-dimensional composite reward function based on the key sample data set to obtain a dialogue generation model with an emotion cognition-verbal skill expression decoupling architecture; and taking a historical round of dialogue of the to-be-tested system aiming at the current interaction as input of a dialogue generation model, and generating a next round of user reply consistent with the user emotion and the user portrait. According to the invention, deep, efficient and automatic adversarial testing is carried out on the task-oriented dialogue system, so that system defects which are difficult to find by a traditional testing method are effectively exposed.

The invention discloses a software performance test system, method and device in a high-concurrency scene, and relates to the field of software testing, the system comprises a scene intelligent construction module used for generating a concurrency scene through a behavior tree modeling and time sequence prediction algorithm according to service demand parameters and historical traffic data; the distributed test environment scheduling module is used for constructing a distributed test environment by adopting a container arrangement technology; the virtual user load generation module is used for simulating concurrent user requests by adopting a coroutine pool technology; the real-time performance data acquisition module is used for acquiring multi-source performance data of the tested software in real time; the intelligent performance analysis module is used for calculating a core performance index according to the multi-source performance data and carrying out anomaly detection and trend prediction; and the performance bottleneck positioning module is used for mining a dependency relationship among the core performance indexes and generating a bottleneck positioning report and an optimization suggestion document. According to the method, the accuracy, the efficiency and the stability of software performance testing in a high-concurrency scene are improved.

The invention discloses a simulated inquiry interaction analysis method, device and equipment based on man-machine conversation, and relates to the technical field of artificial intelligence and medical treatment, and the method comprises the steps: obtaining inquiry conversation data generated by interaction between a user object and a virtual user; performing multi-dimensional interaction analysis on the inquiry dialogue data based on a preset medical knowledge graph and preset diagnosis information to generate a corresponding evaluation index and a corresponding index score; and generating and outputting an evaluation report containing the index score and the user object-oriented inquiry dialogue improvement suggestion. According to the method, the objectivity and the accuracy of an evaluation result are ensured, prejudice and inconsistency caused by subjective experience difference in manual evaluation are overcome, the evaluation result is accurate, and a user can clearly know the expression level of the user in each dimension and can also obtain a targeted inquiry optimization direction.

The invention relates to the technical field of management systems, and particularly discloses a three-dimensional industrial design material AI intelligent recommendation management system. Comprising a dynamic knowledge graph module, a multi-source perception input module, a neural symbol fusion engine, a situation self-adaptive output module, a self-evolution optimization module, a recommendation rule updating module, a cold start processing module and a multi-target decision module. The neural symbol fusion engine realizes symbol logical reasoning through Transform, the cold start processing module generates a user portrait through gradient embedding and generates virtual user features through cross-map feature propagation, the situation adaptive output module dynamically switches rendering modes according to a design stage, and the self-evolution optimization module performs meta-learning and concept drift detection; through multi-technology fusion and module cooperation, intelligence, precision and high efficiency of three-dimensional industrial design material recommendation are realized, the design efficiency is remarkably improved, and the project landing risk is reduced.

The invention discloses a learning progress updating system, method and device and electronic equipment, and relates to the technical field of education, and the system comprises a learning behavior collection module, a behavior change analysis module, a learning progress mapping module and a learning progress adjustment module. The learning behavior acquisition module is used for acquiring learning behavior data of a target student and a first learning progress of at least one virtual user; the behavior change analysis module is used for determining behavior change data of the target student; the learning progress mapping module is used for performing learning progress mapping on the behavior change data to obtain a second learning progress of at least one virtual user; and the learning progress adjustment module is used for generating progress adjustment information corresponding to the at least one virtual user, so that the at least one virtual user is adjusted to a second learning progress. The learning progress of the virtual user is updated based on the behavior change data, the matching degree between the virtual user and the student is improved, and the accompanying learning requirements of the student in different learning stages are met.

The invention relates to an interactive training data generation method and device, vehicle-mounted equipment, a storage medium and a program product. According to the method, historical dialogue data of a vehicle user is obtained, a virtual user model corresponding to the vehicle user is constructed according to the historical dialogue data, and then the virtual user model is utilized to initiate multiple rounds of dialogues to an initial intelligent interaction model. And after each round of conversation, adjusting an emotion label of the virtual user model according to reply information of the initial intelligent interaction model, generating conversation content of the next round based on the adjusted emotion label, and then generating interactive training data according to conversation data and corresponding emotion labels in the multi-round conversation process, the interactive training data is used for training the initial intelligent interactive model. According to the method, massive interactive training data with emotion tags can be generated, and thus the intelligence of an intelligent interaction model trained through the interactive training data can be improved.

The application relates to the technical field of the cross of artificial intelligence and behavior science, in particular to a market research system based on multi-source data integration and psychological analysis, which comprises a processing module, an RAG module, a retrieval module, a summary module, an analysis module and a verification module; the processing module processes feedback data of market research; the RAG module retrieves to obtain multi-modal data; the retrieval module retrieves to obtain data samples; the summary module extracts data features; the analysis module analyzes the data samples and generates analysis conclusions; and the verification module verifies the results of the analysis module. The application generates multi-modal data of feedback data in the Internet through the retrieval module, and according to the obtained data samples, the analysis module analyzes to obtain analysis conclusions by combining virtual user models of psychology and / or sociology, so that the problem that the system has weak theoretical support and single data dimension is avoided.

The invention provides a user electricity consumption prediction optimization method and system, a medium and equipment. The user electricity consumption prediction optimization method comprises the following steps: step S11, obtaining original users of an electricity selling company; step S12, screening the original users to obtain a target user; step S13, clustering and grouping the target users to obtain virtual users; step S14, performing dynamic error verification on the user prediction error of the virtual user based on the user prediction error of the target user to obtain an error verification result; step S15, according to the error verification result, repeating the steps S13 to S14 to carry out iterative updating on the virtual user, and obtaining an expected virtual user until an optimal iteration condition is met; and step S16, obtaining the user electricity consumption group of the target user based on the expected virtual user. According to the method, the prediction precision of the electricity consumption of the user can be improved.

This disclosure relates to methods for optimizing virtual user interfaces in a three-dimensional environment. In some embodiments, the computer system changes the level of detail displayed for the corresponding environment. In some embodiments, the computer system applies and adjusts to generate a representation of the physical environment. In some embodiments, the computer system displays user interface objects in a three-dimensional environment with a stereoscopic effect. In some embodiments, the computer system implements light fusion. In some embodiments, the computer system uses visual effects to transition between three-dimensional environments. In some embodiments, the computer system detects movement of the user's viewpoint when displaying a portal to a virtual environment and maintains or stops displaying the portal based on the amount of movement and / or the direction in which the portal is opened. In some embodiments, the computer system outputs different sound effects when initiating the display of different virtual three-dimensional environments.

This application is directed to a method, an apparatus, and a system to, for example, enable a user to interact, manage, and control certain aspects of its own traffic by providing the user with controllable network functions and associated interfaces within the mobile network architecture. In an example method for a user equipment (UE) to control a network service obtained from a network, a control, management, and operation (CMO) function module instantiated in the network may receive from the UE, a request for the UE to control the network service offered by the network. In response to the request, the CMO function module can instantiate at least one network function (NF) configured to be controlled by the UE. The CMO function module can further configure the at least one NF to control the network service in accordance with instructions received from the UE.

The present application relates to the technical field of data analysis, and specifically relates to a user portrait label value analysis method and system, comprising obtaining a first subject user portrait label value mapping to form a first user discrete point group, generating virtual user data to be respectively input into a first subject and a second subject clustering model to form a first simulated discrete point group and a second simulated discrete point group, transforming a vector through space fitting records and identifying an unmatched discrete point group, performing cutting and scaling processing on the unmatched discrete point group and recording a cutting and scaling vector, and obtaining a second user discrete point group through coordinate transformation of the first user discrete point group through the transformation vector and the cutting and scaling vector, and obtaining a user portrait label value of the second subject. The present application can realize user portrait conversion across label systems without sharing original user data, and solve the label matching problem caused by loss of normalized information.

A computer system displays, in a first viewing mode, a simulated environment that is oriented relative to a physical environment of the computer system. In response to detecting a first change in attitude, the computer system changes an appearance of a first virtual user interface object so as to maintain a fixed spatial relationship between the first virtual user interface object and the physical environment. The computing system detects a gesture. In response to detecting a second change in attitude, in accordance with a determination that the gesture met mode change criteria, the computer system transitions from displaying the simulated environment in the first viewing mode to displaying the simulated environment in a second viewing mode. Displaying the virtual model in the simulated environment in the second viewing mode includes forgoing changing the appearance of the first virtual user interface object to maintain the fixed spatial relationship.

The invention discloses a virtual user card strategy generation method and device, equipment and a storage medium, and relates to the technical field of computers. According to the method, a high-personification first card playing strategy is obtained through output of a supervised learning model, a high-competitive-level second card playing strategy is obtained through output of a strategy header of a reinforcement learning model, and the ending probability of a current card game output by the header is predicted according to an end game of the newly added reinforcement learning model. A fusion coefficient is obtained based on the ending probability of the current card game, so that the influence degree of the first card playing strategy and the second card playing strategy on the final card playing strategy is dynamically adjusted; by organically combining the high performance of reinforcement learning and the high anthropomorphic characteristic of supervised learning, not only can the decision-making ability of the game agent in complex games be effectively improved, but also the card playing style of the game agent can be close to that of a real human player, and the game experience of the real player is improved.

A method of determining a location of a user input device of a surgical robotic system within a surgical workspace using a virtual workspace including determining, by one or more processors communicatively coupled to a user input device, that a user is engaging with the user input device within a surgical workspace; in response to determining the user is engaging with the user input device, displaying a virtual user input device within a first virtual workspace boundary, wherein at least a portion of the first virtual workspace boundary is operable to move in response to a movement of the user input device; displaying a second virtual workspace boundary that represents a second workspace limit beyond which the user input device is inoperable to control the surgical robotic instrument in the teleoperation mode; and determining a location of the user input device within the surgical workspace.

An XR management device determines a combined set of operational capabilities that includes a first set of operational capabilities of a physical electronic device in a first virtual portal space of the immersive XR environment and further includes a second set of operational capabilities provided for a second virtual portal space of the immersive XR environment Operations render a virtual electronic device in the second virtual portal space. Operations identify the participant has selected a first virtual user interface element for an operational capability. When the selected operational capability is in the first set of operational capabilities, the operations trigger performance of the selected operational capability by operation of the physical electronic device. In contrast, when the selected operational capability is included in the second set of operational capabilities, the operations trigger performance of the selected operational capability provided for the second virtual portal space.

The present application relates to the field of intelligent performance evaluation, and more particularly to a method for self-regulating virtual user number for performance evaluation, comprising: for each collapse point analysis, determining the collapse paragraph extraction method as extracting according to the number of peak points to obtain the collapse paragraph or recording the relevant paragraph corresponding to the target collapse point as the collapse paragraph; determining the cache data state according to the cache amplitude coefficient and the cache difference coefficient of the cache tracing duration corresponding to the collapse paragraph, and determining the effective collapse paragraph according to the cache data state; clustering according to the cache strategy alternation similarity and the cache topology structure similarity corresponding to each effective collapse paragraph to obtain a plurality of paragraph sets; calculating the user characteristic uniformity according to the operation parameters of each user in each paragraph set, and determining the parameter setting strategy according to the user characteristic uniformity; performing a preset number of virtual tests and recording the results. The present application optimizes the virtual user number regulation method, effectively improves the precision and efficiency of performance evaluation.

The application relates to an e-commerce platform commodity sorting method and a cloud platform based on a generative adversarial network, and belongs to the technical field of e-commerce commodity sorting. Features are extracted by receiving user behavior data, a generator is used to output a candidate sorting list, and a discriminator is used to output sorting information. For cold-start commodities, attribute features are acquired to determine the approximate number of competitive products. When the number is lower than a preset value, associated information is crawled to calculate a priority value. Virtual user features are generated by combining a conversion algorithm, and updated sorting information is output after being input into a model. The method improves the sorting accuracy of cold-start commodities, enhances the generalization ability of the model, balances user experience and platform goals, and has significant technical innovation and practical value.

The application provides a determination method of movement guidance information, an electronic device and a movement guidance system, and relates to the technical field of human-computer interaction. The method is applied to the electronic device, and includes the following steps: displaying a first preset image and a collected user image; identifying a deflection angle of a virtual user in the user image; determining a second preset image corresponding to the deflection angle from a demonstration action set, wherein the demonstration action set stores preset images corresponding to different deflection angles; determining movement guidance information of the user according to the user image and the second preset image; and the first preset image and the second preset image are the same or different. Through the technical scheme provided in the embodiment of the application, the accuracy of user action recognition can be improved. In the process of movement exercise, the user does not need to be restricted by the deflection angle, and can select the deflection angle relative to the electronic device according to personal preferences, thereby achieving good user experience.

The invention relates to the technical field of data analysis, in particular to a user portrait label value analysis method and system, and the method comprises the steps: obtaining a first main user portrait label value, and carrying out the mapping to form a first user discrete point group; generating virtual user data, respectively inputting the virtual user data into a first main body clustering model and a second main body clustering model to form a first simulation discrete point group and a second simulation discrete point group, recording a transformation vector through space fitting, identifying an unmatched discrete point group, performing segmentation and scaling processing on the unmatched discrete point group, recording a segmentation and scaling vector, and performing segmentation and scaling processing on the unmatched discrete point group; and performing coordinate transformation on the first user discrete point group through a transformation vector and a segmentation scaling vector to obtain a second user discrete point group, and obtaining a user portrait label value of the second subject. According to the method, user portrait conversion of a cross-tag system can be realized on the premise of not sharing original user data, and the tag matching problem caused by normalized information loss is solved.

The invention discloses a user interface construction method and device, electronic equipment, a computer storage medium and a computer program product, and relates to the technical field of user interface construction.According to the method, under the condition that a target terminal does not have a UI module, after communication with the target terminal is established according to configuration information of the target terminal through an out-of-band management system, the user interface is constructed according to the configuration information of the target terminal; according to the method, the system type of the target terminal is obtained, and then the user interface template matched with the target terminal and the target display information needing to be displayed through the user interface are determined based on the system type, so that the virtual user interface of the target terminal is constructed and obtained, and a user can perform system operation on the target terminal according to the virtual user interface; the technical problem that server resources are wasted due to the fact that UI display is achieved by installing a UI module on each server is solved, and the technical effect of saving storage resources and computing resources is achieved.

The invention discloses a virtual social relationship construction method and system based on meta universe. The method comprises the following steps: creating a user personalized virtual image based on user identity information; establishing a social space and establishing emotion connection through the virtual image of the user; personalized recommendation is customized according to the behavior data information of the user; according to the method, the social relation between the virtual users is maintained on the basis of historical record information, the virtual social relation between the users with different virtual images is maintained by designing corresponding social mechanisms in different virtual social spaces, and privacy information and safety of the users can be effectively ensured on the basis of the social mechanisms; and corresponding functions are provided to protect the rights and interests of the users, and meanwhile, a reputation and trust system is utilized to maintain specifications and orders in the virtual social space, so that the rights and interests of different virtual users are further guaranteed, and a healthy and harmonious community atmosphere of the social space is maintained.

Some embodiments of the disclosure are directed to an augmented representation of a first electronic device. A three-dimensional representation of a first electronic device (e.g., an augmented device) is presented using a second electronic device in a three-dimensional environment. The three-dimensional environment includes captured portions of a real-world environment, optionally including the first electronic device. The augmented representation of the first electronic device includes a virtual user interface element representing an extension of the physical display of the first electronic device. The representation of the augmented device includes a display of the augmented user interface. The augmented device is optionally configured to display some or all of the user interfaces operating on the first electronic device. Manipulations of and / or interactions with the augmented representation of the first electronic device are possible.

To provide a method for evaluating real staff members that takes into account the activity results of virtual users acting as substitutes for real users. [Solution] In the information processing device, the processor 11 comprises a real staff activity information acquisition unit 111 that receives information related to the activities of real staff from an SNS server or a blog server, a real staff activity performance score calculation unit 112 that calculates the activity performance score of the real staff based on the received information, a virtual staff activity information receiving unit 113 that receives information related to the activities of virtual staff acting as representatives of real staff on the EC site from the EC site server, a virtual staff activity performance score calculation unit 114 that calculates the activity performance score of the virtual staff on the EC site based on the received information, and an overall score calculation unit 117 that calculates an overall score of the real staff by adding the virtual staff activity performance score to the real staff activity performance score on at least one of the SNS and blog service.

This application provides a method, apparatus, and device for configuring test scenario parameters, applied in the field of data processing. The method includes: determining a target transaction percentage, a target processing volume per second, and a first number of virtual users; determining a first interval time based on the target transaction percentage, the target processing volume per second, and the first number of virtual users; determining a test value for the transaction percentage based on the target processing volume per second, the first number of virtual users, and the first interval time; and, if the test value for the transaction percentage meets preset conditions, determining the first number of virtual users as the target number of virtual users and the first interval time as the target interval time. This eliminates the need for manual parameter configuration by testers, improving the rationality and accuracy of test scenario parameter configuration and ensuring that test tasks can be completed quickly and accurately.

The invention relates to a data center interconnection link switching method and device, communication equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: in response to a switching request for switching a first link to a second link in a data center Internet gateway, acquiring a real user connected with the first link, and acquiring a virtual user corresponding to the real user pre-created in the data center Internet gateway; transmitting the virtual service flow through a second link by using the virtual user, and acquiring network transmission quality information after link switching according to the transmitted virtual service flow; and under the condition that the network transmission quality information meets a preset condition, switching the first link connected with the real user to a second link. By adopting the method, a link switching fault caused by an unknown problem in a link switching process under the condition that a real user does not perform a real environment test can be avoided, and an unknown risk caused by link switching is effectively reduced.