302 results about "Service content" patented technology

The invention relates to the technical field of multi-modal large language models, in particular to a government affair service content navigation method and system based on a large language model, and the method comprises the following steps: receiving multi-modal information input by a user through texts, voices or pictures; the voice is converted into a text, and character information in the picture is analyzed by using an OCR (Optical Character Recognition) technology; fusing multi-modal data, and inputting the fused multi-modal data into a large language model for semantic understanding and context association analysis; matching items are retrieved in combination with a local government affair knowledge base, and an initial recommendation list is generated; the recommendation result is displayed through the intelligent assistant, and interaction optimization options are provided; the method has the beneficial effects that the current government affair service content navigation mode is optimized through the multi-modal capability, the retrieval enhancement capability and the content generation capability of the large language model, so that the navigation is more modal and more intelligent, and meanwhile, the privacy and authority of data reply are ensured.

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses a service content generation method based on emotion recognition, and the method comprises the steps: collecting voice data, extracting voiceprint features, and building a user voiceprint file; extracting Mel frequency cepstrum coefficient features and Mel energy difference coefficient features, and inputting the extracted features into an emotion classification model for emotion classification recognition to obtain an emotion state of the user; the current emotional state is compared with a historical normal emotional state, emotional fluctuation is analyzed, and whether the emotional state of the user is abnormal or not is judged; and when it is detected that the emotional state is abnormal, target service content is determined from the personalized service library in combination with the emotional state and the user voiceprint file. According to the method, the voice features are extracted and the user voiceprint file is established, so that the emotion fluctuation of the user can be accurately analyzed, whether abnormity exists or not is judged, accurate recommendation service is provided in combination with the personalized features and historical behavior data of the user, and the intelligent and personalized degree of vehicle-mounted voice interaction is improved.

The invention belongs to the technical field of network security, and discloses an encrypted enterprise network data security access method and system, and the method comprises the steps: constructing a biological recognition unit and an equipment binding unit, recognizing multi-dimensional biological data through the biological recognition unit, and carrying out the identity authentication of a user through the combination of a dynamic token generation time binding mechanism; the equipment binding unit associates the identity authentication result with the hardware fingerprint of the security access terminal to generate a digital identity certificate; a basic key is generated and updated in a rolling mode through a quantum random number generator; dual protection is carried out on the multi-dimensional biological data through a hierarchical encryption unit, the hierarchical encryption unit comprises an application layer and a transmission layer, the application layer adopts an SM4 algorithm to encrypt service content data in the multi-dimensional biological data, and the transmission layer adopts an SM2 algorithm to generate a session key to carry out forward secrecy; the security access of enterprise network data is ensured, and the security protection capability of the enterprise network is comprehensively enhanced.

Disclosed in the present invention is a test case generation method, comprising the steps of: in a graphical tool, editing to form a test model, wherein a scenario, an interaction, and service content are edited, and creating a logic process relationship among the scenario, the interaction, and the service content; in the test model, respectively creating corresponding assertions for the scenario, the interaction, and the service content, and adding the corresponding assertions into the logic process relationship in series; performing test resource scheduling, and configuring a matched use case execution environment for the test model; and compiling the test model into a script which can be automatically executed and executing the script, and after all the assertions are successful, adding the test model into a test case library. Further disclosed in the present invention are a corresponding test management method and system, an apparatus, and a storage medium. By implementing the present invention, the development and automatic test of vehicle-mounted software in an intelligent scenario can be realized, improving the efficiency of a test process and vehicle-mounted software design.

A content tracking system may include a processor. A content tracking system may include a non-transitory memory coupled to the processor, including one or more content containers. A content tracking system may include a communication service coupled to a network interface, the communication service configured to receive content-related service requests. A content tracking system may include a content container service communicatively coupled to the processor. A content tracking system may include a registry container service communicatively coupled to the processor, wherein the processor is configured to. generate a content container package, associate a data content portion with the content container package, generate side car file data, associate the side car file data with the content container package; and log a plurality of content-related metadata attribute values to a registry database.

The invention provides a supplier service quality assessment management system and method based on dynamic weight optimization, and belongs to the technical field of weight adjustment. The total index module is used for determining quality assessment indexes and sub-indexes thereof according to supplier service contents and contract requirements; the data acquisition module is used for acquiring historical performance data of a target supplier and standardizing the historical performance data to obtain standard performance data; the first scoring module is used for determining a first score of the quality assessment index according to the initial weight of the quality assessment index and the quantification method in combination with the standard performance data; the dynamic weight module is used for generating a weight adjustment strategy according to a business scene of the standard expression data, and obtaining a first weight of the quality assessment index after adjusting an initial weight; and the scoring module is used for calculating a quality assessment score of the target supplier according to the first weight and the first score. The accuracy and the dynamic adaptability of supplier service assessment are improved, and quality assessment and decision support are optimized.

The invention discloses a natural language access control strategy generation method based on a large language model, and belongs to the field of access control, and the method comprises the steps: constructing a knowledge graph for a CSV file uploaded by a user, storing the knowledge graph in a graph database, selecting a target service by the user, and appointing a target access control type; on the basis of a preset prompt project template combination and a LangChain framework, generating an initial natural language access control strategy document by utilizing a first large language model; and removing the non-natural language access control strategy statements by using the second large-scale language model, removing existing repeated strategies by using the third large-scale language model, and modifying existing mutual conflict strategies by using the fourth large-scale language model in sequence to obtain a final natural language access control strategy document. According to the method, the natural language access control strategy meeting the requirement can be automatically generated according to the safety requirement and the service content of the user, rapid change is supported, and the method is suitable for different forms of access control strategies.

The invention provides a three-port semantic communication architecture optimization method introducing a semantic mapping end, and belongs to the technical field of information processing. The technical problem that semantic communication service content is not beneficial to explanation, supervision and integration is solved. According to the technical scheme, the method comprises the following steps: S1, constructing and training a multi-modal semantic coding model; s2, constructing and training a multi-modal semantic decoding model; s3, constructing a requirement test on the precision and dimension of the high-compression floating point format vector in a fixed scene; s4, fixing a service scene; s5, according to the collected business original multi-modal data; s6, collecting coded data corresponding to the original multi-modal data of the service according to the step S4; s7, constructing and training a mapping model from the coded data to the text or label data; s8, realizing a normal semantic communication system transmission process; and S9, executing subsequent supervision or processing operation. And more research and optimization spaces are provided for a future semantic communication system.

The present invention discloses an employee service management method and system for a human resources intelligent terminal, which relates to the field of computer technology, including collecting employee static data and employee dynamic data through a human resources intelligent terminal, and generating an employee data set; generating an employee portrait containing employee characteristic information according to the employee data set; triggering a service linkage mechanism to call corresponding resources to generate personalized service content according to predicted service needs, and sending the personalized service content to the employee's human resources intelligent terminal; collecting employee feedback data on pushed personalized services, analyzing the feedback results, and performing parameter optimization on the matching logic of a dynamic rule engine; updating employee portraits and service rules according to the optimized dynamic rule engine; the present invention dynamically generates a rule candidate set through a dynamic rule engine, and selects the optimal rule in combination with reinforcement learning, so as to respond to changes in employee needs in real time and ensure the personalization and timeliness of service content.

The invention discloses a message pushing method, a message pushing system and a related device. The method is applied to a first electronic device and comprises the steps that first service data sent by a first application are acquired, and the first service data comprise a first service type, first service time and first service content; determining a first reminding moment of the first service based on the first service type and the first service time; determining a first message based on the first service type, the first reminding moment and the first service content; and when it is detected that the first reminding moment arrives, displaying a first notification according to the first message. Therefore, the message can be pushed based on the reminding moment, simultaneous pushing of multiple messages is avoided, and thus the user is prevented from missing the message.

The present invention discloses a home-based elderly care comprehensive service management system based on the Internet of Things, and relates to the technical field of the Internet of Things. In order to solve the problems in the prior art that the detection and response speed for emergencies is poor, especially the lack of more intelligent means for emergency handling of elderly people without anyone to accompany them, and the service content fails to fully combine the specific needs of users for intelligent push, and the service model is relatively single; the present invention collects the health status, activity trajectory and environmental data of users in real time through Internet of Things devices, builds a comprehensive perception system, dynamically adjusts and pushes personalized service content according to the user's health records, behavioral habits and actual needs, compares user behavior feature data with historical habits, effectively determines the degree of behavioral deviation, and generates early warning reports in time, which not only improves the real-time and accuracy of behavior monitoring, but also provides customized services according to the personalized needs of users, discovers abnormal behaviors in time, and ensures user safety.

The invention provides an intelligent member portrait analysis system based on multi-modal data fusion, and relates to the technical field of intelligent analysis. Multi-modal data is collected and integrated through the arrangement of a multi-modal data collection unit, a data analysis and processing unit, a portrait model establishment unit, a recommendation algorithm unit and a user feedback unit; the recommendation unit adopts different recommendation algorithms for different life cycle states of new users, active users and silent users and different behavior data of members in different states through analysis and processing to construct a portrait model, generate static and dynamic portraits and accurately insight member features and states, and the recommendation unit adopts different recommendation algorithms for different life cycle states of the new users, the active users and the silent users. And pushing the corresponding recommended commodity service content, thereby realizing timely and accurate commodity pushing for members in different life cycle states, and improving the use experience of member users.

The present invention discloses a method for providing cloud services for resource-constrained nodes in a blockchain. A service alliance is set up outside the blockchain network. The service alliance is a blockchain network composed of several cloud service nodes, which provides computing services and storage services to blockchain nodes. When a node in the blockchain network needs cloud services, it generates a service request including a transfer transaction, service content, and data required for the service, and sends it to the selected cloud service node. After the cloud service node verifies and passes the service request, it executes the service request, then generates a service transaction and feedbacks it to the service request node, and broadcasts the current service transaction in the service alliance and conducts consensus by the service alliance. After the consensus is passed, the current service transaction is recorded in the blockchain. The present invention provides reliable and secure cloud services to resource-constrained nodes in the blockchain network by setting up a service alliance.

The invention provides a service content active recommendation method and device based on user characters, equipment and a vehicle. The service content active recommendation method based on the user characters comprises the steps of obtaining user comprehensive data of a user; determining a character type of the user according to the user comprehensive data; determining service content to be recommended from a preset service content database based on the character type; and recommending the service content to be recommended to the user in a voice form and / or a visual form. The service content is actively recommended for the user through character classification of the user, and personalized requirements of different users can be more accurately met.

The invention relates to the technical field of public service networks, in particular to an adaptive network evolution public service radius measuring and calculating method, which comprises the following steps that: according to service contents provided by a public service, the public service is divided into a plurality of functional units, and each functional unit comprises at least one service point; constructing a public service network matched with the public service; setting a network evolution mechanism for the public service network to realize self-adaptive evolution of capacity, connection and modular growth of the public service network; setting a dynamic adjustment strategy to realize resource flexible scheduling of the public service and optimization of a service coverage range; obtaining a service coverage area, obtaining a service radius of each service point in the service coverage area based on a multilayer network model, and forming an optimal service radius vector set in combination with the number of demand points covered by each service point and resource consumption under each service radius; and determining the optimal coverage radius and the optimal service radius of each service point.

A computerized method configures and uses ad hoc servers to serve content. A content server configured to serve a content dataset periodically provides a current server load notification to a domain name server (DNS). Upon detecting that a current load of the content server exceeds a server load threshold, the DNS sends a new server setup notification to the content server. The content server then identifies an ad hoc server and performs a content service handover to the identified ad hoc server. Upon completion of the content service handover, the content server provides a new server notification to the DNS indicating that the identified ad hoc server is ready to serve the content dataset. The DNS is thereby enabled to divert client requests for the content dataset to the ad hoc server during the period that the current load of the content server exceeds the server load threshold.

Embodiments of this application provide an MBMS service communication method and a base station, and relate to the communication field. The method includes: A source base station obtains first group identity information of an MBMS service of a terminal device in a neighboring cell; and the source base station sends the first group identity information to the terminal device. In this application, after moving to or accessing the neighboring cell, the terminal device may continue to receive service content and information of the MBMS service based on the first group identity information that is of the MBMS service in the neighboring cell and that is obtained from the source base station.

The embodiment of the invention provides a page rendering method, a server, a client, equipment and a storage medium. The method comprises the following steps: receiving a rendering request for a target page from a client, wherein the rendering request is used for acquiring basic data and business data of the target page; in response to the rendering request, returning a first data block to the client, so that the client renders at least one part of basic content of the target page based on the first data block; requesting business data of the target page from a business server in response to the rendering request; and after the service server returns the service data to the server, returning a second data block to the client, so that the client renders at least one part of the service content of the target page based on the second data block. The embodiment of the invention is beneficial to improving the user experience.

To provide an analysis system and an analysis apparatus, based on the analysis results of access status to a website, which can obtain proposal information on effective measures to improve the access status to the website.SOLUTION: An analysis apparatus comprises: a prompt generation unit 11 for generating a prompt including intrusions for suggesting ways to improve access status and reference information using information describing the contents of a website as an analysis target, report information of analysis results related to access status to the target site, information describing the contents of one or more services utilizable for the improvement of the access status and a template for prompt generation; and an analysis unit 12 for acquiring proposal information on measures to improve the access status to the target site from an LLM 30 utilizing services by inputting the generated prompt into the LLM 30. With this configuration, the proposal information of the measures in consideration of the site content information and the service content information can be obtained.SELECTED DRAWING: Figure 2

The present invention provides a supply chain bill system based on blockchain technology, which relates to the field of electronic digital data processing, including a foreground application module, a background management module, a service processing module and a block recording module. The foreground application module is used for users to log in to the platform and operate application information, the background management module is used to receive application information and manage the application information, the service processing module is used to execute specific bill service content, and the block recording module is used to record the periodic information of the bill. Based on blockchain technology, this system can ensure the authenticity of bill data, and at the same time analyze the user's credit and the risk of the bill during the transfer process of the bill, which can further ensure the security of the bill transaction.

The application relates to a voice service content identification method for behavior text processing, and belongs to the field of natural language processing, and comprises the following steps: collecting service audio of a customer service personnel, calculating the voiceprint similarity between each frame of the audio, and clustering the audio frames according to the similarity; establishing a customer service personnel voice tone library to determine the customer service personnel identity of the service audio; converting the service audio into voice text by using a voice recognition model; establishing a text keyword library, calculating and retrieving behavior keywords in the voice text, and constructing a behavior keyword sequence; establishing a speaker behavior recognition model, determining the customer service behavior according to the behavior keyword sequence, and constructing a customer service behavior sequence; and establishing a service content identification model, and determining the customer service content according to the customer service behavior sequence.

The invention relates to the technical field of AI, in particular to an AI intelligent assistant system supporting multi-modal input and personalized service. Specifically, an AI intelligent assistant system supporting multi-modal input and personalized service uses a large language model to carry out semantic analysis and intention recognition. According to the personalized recommendation method, factors such as personal preference, budget and purposes of vehicle owners are combined, and multiple types of vehicle models meeting conditions are screened out from a vehicle database. The invention relates to a method for performing estimation calculation by using a machine learning model based on a random forest algorithm. And generating a maintenance suggestion by combining a vehicle maintenance suggestion model according to the driving record and the maintenance record of the vehicle owner. And recording personal information, preferences and behavioral habits of the user, and generating a user portrait. And recording information such as brand, model, mileage, maintenance record and the like of the vehicle, and generating a vehicle portrait. And dynamically adjusting the recommendation strategy and the service content according to the portraits of the user and the vehicle.

To provide a system.SOLUTION: A system includes: means for learning work contents, customer service contents, and customer's answers of a smart phone adviser; AI means for performing a customer service on the basis of the learned contents, and means for developing the customer service by the AI in the entire stores.SELECTED DRAWING: Figure 1

The invention provides an emotion perception and guest room management method based on voiceprint recognition, and the method comprises the steps: generating a service configuration adjustment scheme matched with the emotion tendency of a user according to a demand prediction result, carrying out the fine adjustment of service contents according to the real-time change captured by dynamic data, and obtaining adjusted service parameters; if there is a deviation between the optimized emotional periodic change rule and the actual user feedback, updating the voiceprint feature matrix and the emotional tendency distribution by re-collecting the long-term data record, and determining a new periodic fluctuation feature; and according to the new periodic fluctuation characteristics, the construction of an emotion portrait model and the personalized demand prediction process are executed circularly, the pertinence of service configuration adjustment is continuously improved, and a final optimized service quality improvement scheme is obtained.

The invention discloses a traffic control method and device, a storage medium and a computer program product, and the traffic control method comprises the steps: obtaining a service request carrying real-time service information, and extracting a plurality of service fields of a service from the real-time service information; and determining the service type of the service request, combining the service contents of the plurality of service fields under the condition that the service type belongs to a multi-dimensional flow control type, and determining a plurality of target flow control items matched with the real-time service request based on the service combined contents. Determining respective flow increment of the plurality of target flow control items; and under the condition that the traffic increment of any target traffic control item meets the preset traffic control condition, performing traffic control on the target traffic control item, so that a plurality of target traffic control items are determined through the service combination content of the service field, that is, traffic control is performed according to a plurality of traffic control dimensions, thereby realizing fine-grained traffic control management and improving the traffic control efficiency. And the accuracy of flow control is improved.

In an embodiment, a method includes receiving, by a computing device, textual vehicle service content. The method further includes identifying, by the computing device, a vehicle scan tool function relevant to associated text at a location within the textual vehicle service content. The method additionally includes modifying, by the computing device, the textual vehicle service content to include a selectable link at the location of the associated text, wherein the selectable link is selectable to initialize a vehicle scan tool to perform the identified vehicle scan tool function on a vehicle. The method also includes providing, by the computing device, the modified textual vehicle service content including the selectable link.

To further improve convenience of a user who uses a service.SOLUTION: An information processing apparatus according to the present application is an information processing apparatus that operates as an agent, the information processing apparatus including an estimation unit that estimates service content desired by a user from a sentence received from the user by using an LLM, a first generation unit that generates a first answer to be provided to the user before service provision and request information for requesting the service provision from the sentence and the service content, a first provision unit that provides the first answer before the service provision, an output unit that outputs the request information to an RAG that communicates with a service providing apparatus, and an output unit that outputs the content when the content is received from the RAG. A second generation unit that generates a second answer to the user from the first answer and a second provision unit that provides the second answer.SELECTED DRAWING: Figure 1

The invention provides a vehicle intelligent welcome control method and system, and the method comprises the steps: responding to different welcome control signals based on the position distance between a passenger and a vehicle, and generating a corresponding welcome starting instruction; obtaining different weather environment information based on the corresponding welcome starting instruction, and starting welcome modes under different weather conditions; and executing corresponding welcome actions based on the welcome modes under different weathers. The problems that in the prior art, only a fixed greeting mode can be used, the function is single, service content cannot be customized in a personalized mode, and reliable greeting service cannot be provided in the face of a complex environment are solved. According to the invention, the environment information is identified, different greeting strategies are executed for different environments, and reliable greeting service is provided.

The embodiment of the invention discloses a content recommendation method and device, is applied to the fields of artificial intelligence, mobile terminals, vehicle-mounted terminals and the like, and is used for improving the recommendation accuracy of terminal equipment on application service contents. The method comprises the steps that the terminal equipment sends first data collected by the terminal equipment to cloud side equipment, wherein the first data comprises one or more of the following data: user historical data and terminal equipment data; the terminal device receives second data sent by the cloud side device, the second data comprises one or more of the following data: model features and a subnet model, the model features are model features extracted by the cloud side device based on the cloud side model, and the subnet model is a model obtained after the cloud side device simplifies the cloud side model based on the terminal device data. And the terminal device updates the local model based on the second data. And the terminal equipment performs application service content recommendation on the terminal equipment based on the updated local model.

The invention discloses a design method for controlling interaction of a plurality of radio stations under short-wave networking, which comprises the following steps of: in a starting stage, acquiring radio station fixed parameters of all network control console sides; sending an application subscription protocol to all radio stations on the network console side; sending all successfully planned short-wave frequency sets to the successfully subscribed radio stations, and pre-tuning the frequency sets by the radio stations; sending other parameter configurations of the radio station to the radio station which is successfully pre-tuned, and sending a setting result after the radio station is successfully set; after a task execution command is sent out, service switching is carried out; selecting a proper transmitting radio station group; a transmitting frequency point of each transmitting point is selected through an ionosphere propagation prediction model frequency selection algorithm, and the frequency and the bandwidth of the current service are modified at the corresponding radio station; state reports of the selected radio station groups are compared, and the same service content information is uniformly sent to the ready radio stations within a certain time; according to the scheme, the wireless transmission efficiency under networking is improved, and the diversity combining effectiveness is improved.