2983 results about "User information" patented technology

The invention discloses an automatic feasibility research report generation method fusing a knowledge graph and a large model, and relates to the technical field of leather inlaying, and the method comprises the following steps: extracting and cleaning information from multi-source heterogeneous data, and carrying out standardization processing on terminologies; constructing a knowledge graph, and converting the knowledge into embedded vectors which can be processed by a computer; according to user information, related sub-graph information is accurately retrieved from the knowledge graph, and cue words containing professional knowledge are dynamically combined; the large model generates a first draft according to cue words, a system automatically checks, and when conflicts are found, the model is required to be regenerated; and integrating the content which is verified to be correct with related standard terms, automatically adding a data reference source, and generating a document which is standard in format and clear in risk point. According to the method, real-time and automatic professional knowledge conformity checking and self-correction can be carried out on technical parameters and logic assertions output by the model in the generation process.

The invention discloses an intelligent parking method and device based on multi-source data fusion and a medium, and relates to the technical field of big data technologies. The method comprises the following steps: collecting multi-source parking data, and analyzing the multi-source parking data to generate a parking lot label library; generating a user tag based on historical search records and residence time preferences of the user, and constructing a user information database; when it is detected that a user triggers a parking request, performing multi-dimensional matching calculation on a user tag and a parking lot tag library to obtain a recommended parking space sequence; and optimizing the recommended parking space sequence based on the real-time traffic state and the user credit score to generate a final navigation path. According to the method, a dynamic parking recommendation mechanism is constructed by collecting and analyzing the multi-source parking data and the user preference data.

The invention provides a face recognition method and device, electronic equipment and a medium, and the method comprises the steps: processing a scaled to-be-recognized face image through a face detection model, and determining the coordinates of a face region and a plurality of key points in the original to-be-recognized face image based on the recognition result of the face detection model; based on the coordinates of the plurality of key points in the to-be-recognized face image and the coordinates of the plurality of key points in a preset face template, aligning a face region in the to-be-recognized face image to the preset face template, and outputting an aligned face image of a preset size; processing the aligned face image through a face recognition model comprising a down-sampling module, and generating a target face feature of the face image to be recognized; the user information of the target user corresponding to the to-be-recognized face image is determined based on the similarity between the target face feature of the to-be-recognized face image and the feature vector of the user in the database, so that the calculation amount in the face recognition process is reduced, and the accuracy and precision are both considered.

The invention relates to the technical field of information security, in particular to a user information protection method and device based on a dynamic desensitization strategy, and the method comprises the steps: determining sensitive data and a sensitivity score thereof through a named entity recognition model and a sensitivity scoring algorithm, extracting scene parameters, and determining a scene risk score through a risk quantification algorithm; and then a dynamic desensitization strategy generation algorithm is called to generate a target desensitization strategy, and finally, the strategy is used for desensitization and a reversible desensitization data identifier is generated. Through the series of steps, the desensitization strategy is dynamically generated according to different use scenes, the problem of scene adaptability deficiency caused by static desensitization strategy stiffness is solved, meanwhile, the reversible desensitization reduces the security risk caused by reverse cracking of rules, excessive desensitization is avoided, and the data availability is improved.

The invention provides a credible identity authentication method and system with privacy protection and traceability, and the method comprises the steps: S1, defining roles in an identity authentication process and a supervision traceability process and the function division of each role, including a user, a registration organization RA, a certificate issuer Issuer, a service provider SP and a supervision committee RegComm; s2, realizing an identity authentication process through a real name authentication verification process, an anonymous identity certificate signing and issuing process and a user identity authentication proving process; wherein in the anonymous identity certificate issuing process, a certificate issuer Issuer issues a verifiable anonymous identity certificate to a user through a formula according to a real name authentication verification result of a registration authority RA; and S3, realizing a supervision and tracing process through user secret distribution and a user information tracing process. According to the invention, an identity authentication process based on zero-knowledge proof and verifiable secret sharing is realized, a supervision and tracing process is introduced, and practical application requirements of privacy protection and traceability can be met at the same time.

The invention relates to a risk behavior early warning method and device based on adaptive time sequence slicing, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: collecting user operation behavior data aiming at each service in a service system, and obtaining user information and service characteristics of each service in the service system; generating a service activeness index; adjusting the length of a time interval between time sequence slices of the user operation behavior data; according to the adjusted time sequence slices, integrating the user operation behavior data, generating a user behavior sequence, and constructing a user behavior dependency graph; generating a normal behavior pattern of the user according to the time sequence slice intervals of different granularities, the user behavior sequence and the user behavior dependency graph; and according to the normal behavior mode, carrying out risk behavior early warning on the user actual operation behavior of each service in the service system. By adopting the method, the risk behavior prediction accuracy can be improved.

The invention provides a user intention recognition method and device based on large and small model fusion and electronic equipment. The method comprises the steps that user information is acquired, the user information is input into a small model set for user intention prediction, an intention prediction set is obtained, the intention recognition confidence coefficient of the small model set is determined according to the intention prediction set, and the user information comprises user questions and user portrait features; according to the intention recognition confidence coefficient, the customer service agent is adopted to analyze and process the user information to obtain a COT analysis table, and the COT analysis table is sent to the large model; and according to the COT analysis table and the user information, adopting the large model to perform preset processing on the user question to obtain a target user question, and inputting the target user question into the small model to obtain a user intention recognition result. The problem that in the prior art, user intention recognition independently adopting a large model or a small model is low in user satisfaction degree is solved.

The invention belongs to the field of vehicles, and discloses a cabin active conversation method and system, and the method comprises the steps: obtaining user information and vehicle information, and determining a user portrait; matching a corresponding active dialogue type in a preset database based on the user portrait; and determining a trigger score of the active dialogue type based on the user portrait, and triggering a corresponding active dialogue when the trigger score meets a preset condition. According to the method and the system, user demands and preferences can be accurately grasped, and personalization and scene adaptability of dialogue contents can be ensured. Meanwhile, the triggering score of the active dialogue type is determined according to the user portrait, the dialogue can be triggered at a proper time, dialogue triggering does not depend on a preset fixed logic or scene any more, dynamic decision making is carried out based on real-time and personalized data, the method can adapt to complex and changeable driving scenes and user requirements, and the user experience is improved. The intelligence and initiative of the vehicle-mounted voice interaction system are effectively improved, and the user experience is enhanced.

The disclosed embodiments describe systems and methods for approving a transfer. User information may be accessed for a plurality of users in a group. Account information for a plurality of disparate electronic accounts associated with the group may be accessed. The disparate electronic accounts may be integrated and managed through a central entitlements engine. Permissions information associated with the user information and the account information may be accessed. A transfer request for an account in the plurality of disparate electronic accounts may be received from a first user device associated with a first user of the plurality of users. The transfer request may be sent to a second user device associated with a second user of the plurality of users. An electronic indication of an approval of the transfer request may be received. The permissions information may be modifiable by input from the second user device.

The embodiment of the invention provides a communication encryption method, computer equipment and a storage medium, relates to the technical field of information security, and can provide a safer communication process. Comprising the following steps: a server receives a first key acquisition request sent by a first terminal, and acquires a first composite key from a plurality of composite keys; wherein the composite key is a key obtained after fusion processing based on multiple types of quantum keys. And the server obtains a second composite key matched with the user information of the first terminal from the plurality of composite keys. And sending the second composite key to the server, so that the server encrypts the first composite key through the second composite key to obtain the encrypted first composite key. And the server sends the encrypted first composite key to the first terminal, so that the first terminal encrypts or decrypts communication data with the second terminal based on the first composite key after decrypting the encrypted first composite key.

The invention discloses a commodity recommendation method and system based on agent and hotspot information collaboration, and relates to the technical field of intelligent recommendation, and the method comprises the steps: obtaining structured hotspot data, commodity dynamic information and current user data in parallel through a hotspot information collection tool, a commodity information collection tool and a user information collection tool; performing multi-source information fusion based on a large language model, and generating a structured recommendation demand including a target user, a hotspot association direction, a commodity constraint condition, a user preference matching point and a recommendation priority; and matching and screening the commodities meeting the requirements, and performing multi-dimensional priority ranking according to the hotspot association closeness, the user preference matching degree, the commodity cost performance and the inventory sufficiency to generate an optimized commodity recommendation list. According to the method, semantic comprehension and information fusion are carried out based on a large language model through deep collaboration of hotspot information and user requirements, and the accuracy, timeliness and adaptability of commodity recommendation are improved.

The embodiment of the invention provides a content recommendation method and device and a double-tower content recommendation model training method and device, and the content recommendation method comprises the steps: obtaining the content information of to-be-recommended content and the user information of a target user in response to a content recommendation task; the user information and the content information are input into a double-tower content recommendation model, recommended content for the target user is obtained, the double-tower content recommendation model comprises a user tower and a content tower, the user tower is used for extracting user features based on the user information, and the content tower comprises a feature adaptation layer; the feature adaptation layer is used for obtaining target content features corresponding to a task target of the content recommendation task based on the content information, and the recommendation content is obtained by decoding based on the target content features and the user features. The content representation can be dynamically adjusted according to the task target through the feature adaptation layer, so that the same content presents differentiated feature expression under different tasks, and the adaptation precision of the recommendation result to the specific task target is improved on the premise of not changing the double-tower structure.

The invention discloses a decentralized terminal user login management system in an ad hoc network environment, which is embedded in each terminal of the whole network, and each terminal comprises a user login module used for a user to input a user name and a password in the ad hoc network environment to initiate login; the local offline user management module is used for user information authentication of a user in an ad hoc network environment; and the user authentication broadcast confirmation module is used for synchronizing authentication information to other terminals after the user is successfully authenticated in the ad hoc network environment. The invention further discloses a method of the decentralized terminal user login management system in the ad hoc network environment. According to the method, the problems of single-point failure, poor dynamic topology adaptability, incapability of authenticating an offline scene, low synchronization efficiency and the like caused by centralized authentication in a traditional ad hoc network user management system are effectively solved.

The invention belongs to the technical field of large language models, and provides a prediction-guided knowledge retrieval enhanced question-answering system, which comprises a knowledge graph vectorization module for constructing a vector representation of an entity relationship in a knowledge graph; the two-way matching module is used for extracting a related entity set from the knowledge graph according to a query text input by a user, and extracting a target entity set from the knowledge graph according to collected user information; the retrieval enhancement module is used for carrying out weighted fusion on the related entity set and the target entity set to obtain a seed entity set; pruning the redundant structure in the seed entity set based on a preset semantic understanding model to obtain a simplified sub-graph; and generating and outputting a corresponding answer according to a query text and the simplified subgraph input by the user. According to the technical scheme, the user intention can be better reflected while the reliability of the query result is improved.

The invention relates to the field of computer science and technology, and discloses an intelligent operation management platform for multi-scene application aggregation, which realizes full-life-cycle management and accurate association of commodity labels in a label management module, realizes full-process management and control and dynamic optimization of coupons in a coupon management module, and realizes full-process management and control and dynamic optimization of the coupons. Full-link fine management of commodities from classification, attributes to information is realized in the commodity management module, standardized processing and risk monitoring of multi-source and multi-state orders are realized in the order management module, and platform management and control of supplier classification, qualification and association logic are realized in the supplier management module. Accurate configuration and multi-terminal adaptation of advertisement resources are realized in the advertisement management module, authority hierarchical management and control are realized in the platform role management module, and cross-platform user information unification and life cycle management are realized in the platform user management module. And finally, the problems of function fragmentation, response lag, poor industry adaptability and weak risk prevention and control of a traditional platform are solved.

A system for development of an Artificial Intelligence (AI) model while protecting sensitive user information includes: a confidential computing environment in which original prompts to the AI model written by users are collected; a trained synthetic prompt generator to generate synthetic prompts based on the original prompts, wherein the synthetic prompt generator generates anonymized synthetic prompts without sensitive user information identifiable from the original prompts; and a developer computing environment in which the synthetic prompts are submitted to the AI model under development to generate a dataset that includes the synthetic prompts and corresponding AI model output for analysis to determine updates for the AI model while protecting the sensitive user information of actual users.

The invention relates to the technical field of artificial intelligence, in particular to a large model dialogue management method and device.The method comprises the steps that dialogue information of a user input dialogue initiated by a user to a large model is intercepted; obtaining user information corresponding to a user; filling the first cue word template based on dialogue information of a dialogue input by a user and user information to obtain a first cue word; sending the first cue word as first-round user input dialogue information to the large model, so that the large model generates large model output dialogue information for the first-round user input dialogue based on the first cue word; and in response to establishment of the update trigger condition, updating the user contour information based on the historical round dialogue of the current session and / or the dialogue content of the current round dialogue. According to the method, the structured user background information is provided for the large model at the beginning of the dialogue, so that the reply accuracy and pertinence of the large model are remarkably improved, and cross-session personalized interaction experience is realized.

The present disclosure provides communication apparatus and communication method for user-specific persistent allocation. A communication apparatus comprises circuitry which, in operation, generates a transmission signal comprising a common field, a user specific field and a data field, the common field including RU information for each of one or more allocations in the data field and the user specific field including one or more user information, each indicating a user-specific allocation among the one or more allocations in the data field; and a transmitter, which, in operation, transmits the generated transmission signal; wherein the user specific field is free from at least one user information for a persistent allocation containing a recurring transmission among the one or more allocations.

The present specification proposes NDPA frame formats supported in a next generation wireless LAN system. According to one embodiment of the present specification, the NDPA frame formats may include common information for sensing. Here, the common information may be included in a special user information field. According to another embodiment of the present specification, the NDPA frame formats may use an existing NDPA frame format.

The invention relates to the technical field of computers, can be applied to the field of science and technology finance, and discloses a multi-system micro-front-end dynamic integration method and device, electronic equipment and a storage medium. The method comprises the following steps: deploying a base application, configuring a sandbox mechanism and a front-end plug-in of the base application, initializing a cache strategy of the base application, acquiring a target system as a sub-application, and opening a state refreshing interface of the sub-application; when a user accesses the sub-application after logging in the base application, calling the unified authentication service to generate a user token; the access token is obtained from the unified authentication service through the sub-application according to the user information and the key pair, the validity of the access token and the user token is verified through the unified authentication service, the user information is user data stored after successful login, and the key pair is obtained from the unified authentication service in advance; and if the access token is valid, loading the sub-application on the base application by using a sandbox mechanism and a front-end plug-in. According to the method, efficient integration and stable operation of the multi-system micro front end are realized.

This disclosure provides techniques to utilize decentralized identifiers (DIDs) and verifiable credentials for secure, privacy-preserving transactions. In one aspect, a method is provided that includes: receiving user information; determining a DID based on the information; providing the DID to a user device; verifying the user's identity by validating the DID and associated verifiable credentials; and performing a transaction based on the verified DID. Other aspects are provided, such as generating a public-private key pair for the user, associating the DID with the public key, and / or creating a DID document stored on a distributed ledger accessible to authorized entities. Further aspects include processing transactions through smart contracts on a blockchain network, which may involve converting central bank digital currency to fiat currency while maintaining user privacy, applying transaction limits based on verified identity attributes, and providing zero-knowledge proofs to auditors to verify compliance without accessing underlying transaction details.

This disclosure provides methods, components, devices, and systems for ultra-high reliability (UHR) signaling design. Some aspects more specifically relate to an access point (AP) transmitting a frame including a user info field to a wireless station (STA), where the user info field supports UHR parameters. The user info field may include a subfield indicating a coding scheme for communications, where the subfield includes at least two bits to support at least three coding scheme options. Additionally, or alternatively, the AP may transmit a trigger frame indicating for one or more STAs to communicate via distributed resource units (RUs). The AP may arrange the user info fields in the trigger frame to implicitly indicate respective global cyclic shift delay (CSD) indexes to the STAs. A STA receiving the trigger frame may determine a global CSD index corresponding to the STA according to the order of the user info fields.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an interaction control method, device, equipment and medium based on user state awareness, and the method comprises the steps: collecting multi-modal original data to generate standardized multi-modal user information; predicting the emotion change trend of the user according to the standardized multi-mode user information, and generating a preliminary interaction scheme in combination with the intention demand of the user and the current interaction state; generating a cooperative control strategy based on the preliminary interaction scheme; real-time multi-mode user information is obtained and compared in the process of executing the cooperative control strategy, and when an adjustment condition is triggered, a new interaction scheme is generated and the cooperative control strategy is updated; after interaction is finished, interaction performance is analyzed according to interaction data, and substandard results are optimized. According to the method, user state perception is realized through multi-modal information fusion, an adaptive closed-loop mechanism of emotion prediction and interaction control is constructed, and the response capability and interaction naturalness to a dynamic state are improved.

The invention relates to the technical field of museum intelligent service, and discloses an intelligent-based interactive museum display guide explanation system, which comprises an interactive perception module, a user portrait construction module, a content matching module, a path planning module and a feedback optimization module. The interactive perception module processes user behaviors and display environment data and constructs a multi-modal interactive perception model; the user portrait construction module integrates the user basic information and the behavior preference data to form a user feature portrait set; the content matching module combines the multi-modal interactive perception model and the user feature portrait to generate a personalized explanation content candidate sequence; the path planning module optimizes and determines an optimal guiding path; and the feedback optimization module evaluates the explanation effect and dynamically adjusts the content. According to the system, personalized explanation and intelligent guidance are realized, the interactivity and accuracy of museum service are improved, and the visiting experience of the user is optimized.

The present invention relates to the technical field of the Internet. Disclosed are a task-oriented dialog method, and a storage medium and a computer device. The method comprises: in response to receiving dialog information initiated by a user, a client sending the dialog information to a server; in response to receiving the dialog information, the server acquiring user information of the user, and on the basis of the dialog information and the user information, determining intent information of the user by means of a large model; on the basis of the user information and the intent information, the server generating a planning scheme by means of the large model, and executing execution steps in the planning scheme, so as to obtain a scheme execution result; the server sending the scheme execution result to the client; and the client receiving and displaying the scheme execution result. The method can effectively improve the accuracy of intent recognition and the accuracy of scheme planning, reduce the workload of scheme enumeration, and increase the degree of matching between a scheme execution result and a user intent, thus satisfying the actual requirements of users.

The invention relates to a one-code multi-service method and system in a medical scene, and the method comprises the steps: dynamic code generation: generating a visual dynamic code after security processing based on a user identity, a current medical scene code, a service intention, a timestamp and a random number; the dynamic codes are analyzed and verified, format verification, timeliness verification, anti-replay verification and digital signature verification are executed on the obtained dynamic codes, the dynamic codes are analyzed, and an analysis result is obtained; and performing service routing decision and execution, querying a predefined scene-service-authority rule according to the scene and user information in the dynamic coding analysis result, determining a target service of a user, calling a corresponding back-end medical service system interface to receive and perform service response, and finally returning a service result to the user terminal. According to the invention, the convenience, the integration level, the safety and the user experience of medical services can be improved, the operation and maintenance efficiency of the medical services is improved, and the collaborative cost of multiple medical systems is reduced.

The invention discloses a vehicle interface layout control method, a storage medium and electronic equipment, and the method comprises the steps: receiving an interface layout request of a request vehicle, and obtaining the current time, the current position, the user information of a request user and historical operation data; performing user habit statistical analysis according to the user information and the historical operation data of the request user, and generating a plurality of position scene layout strategies associated with positions and time; and matching a target scene layout strategy according to the current time and the current position and sending the strategy to the requesting vehicle. According to the application, a plurality of position scene layout strategies associated with positions and time are generated according to the historical operation data of the application used by the requesting user, and the target scene layout strategy is matched according to the current time and the current position and is sent to the requesting vehicle, so that the position-time-function three-dimensional association model can be established; and performing application layout according to application use habits of different users.

The invention relates to the technical field of artificial intelligence, and discloses an interaction information generation method and device based on a large model, equipment and a medium, and the method comprises the steps: analyzing a user voice instruction according to a semantic large model, and determining user information and a user dialogue intention; identifying the user information and the user dialogue intention through an intention identification model, and generating to-be-selected interaction information; and receiving a user operation instruction, and generating target interaction information according to the user operation instruction and the to-be-selected interaction information. According to the above mode, through the cascade processing of the preset semantic large model and the intention recognition model, the explicit demand and the implicit intention in the user voice instruction are analyzed, the multiple pieces of to-be-selected interaction information are generated, repeated dialogue rounds are reduced, and the target interaction information is generated in combination with the user information and the user operation instruction; therefore, in the business fields of financial science and technology, medical health, old-age care and the like, the accuracy of the customer service guidance system for generating the interaction information for the user is improved.

Provided are a measurement method and system and a related apparatus. The method is applied to a first electronic device and comprises: acquiring user information; acquiring first physiological data of a user in a resting state, the first physiological data comprising a first blood pressure value and a first heart rate; outputting a first prompt, the first prompt being used for prompting the user to start exercising; measuring second physiological data after the user finishes exercising, the second physiological data comprising a second blood pressure value and a second heart rate; acquiring an exercise load of the user; determining, on the basis of the user information, the first physiological data, the second physiological data, and the exercise load, a first evaluation result, the first evaluation result comprising cardiac reserve function evaluation; and outputting the first evaluation result. In this way, not only can the blood pressure status of a user be evaluated, but also the cardiac reserve function of the user can be judged, such that the user knows his / her own health status in time.

The present application relates to a zero trust-based service system access control method and apparatus, a device, and a medium. The method comprises: triggering, among core network functional network elements of a network, a session management function network element or an AAA server to send a user re-authentication request to a user terminal, so that the user terminal returns current user information to the AAA server; upon the AAA server verifying that current user identity information is consistent with user identity information corresponding to a target user, determining an identity authentication success result; on the basis of the identity authentication success result and the current user identity information, the AAA server initiating a biometric authentication request to the user terminal, so that the AAA server checks whether most recent biometric information of the target user returned by the user terminal matches pre-stored biometric information of the target user, and if so, returns a biometric authentication success result to the user terminal, so as to authorize the target user to continue accessing a target service system. The present application can prevent several security issues, such as unauthorized control over authorized devices.