401 results about "Service user" patented technology

An information processing system and the like capable of improving the distribution of advertisements to users of transportation services is provided. [Solution] According to one aspect of the present invention, there is provided an information processing system including a control unit configured to execute the following steps: in an acquisition step, advertising performance information and ticket identification information associated with the advertising performance information are acquired from a plurality of user terminals, the advertising performance information includes information for determining advertising performance related to an advertisement displayed on the user terminal in association with a ticket for a user to use a transportation service, the ticket identification information includes information for identifying which of the plurality of tickets the ticket displayed on the user terminal in association with the advertisement is, and in a determination step, an information processing system is provided that determines a ticket contribution degree including the contribution degree of each of the plurality of tickets to the advertising performance based on the acquired advertising performance information and ticket identification information.

A service processing method executed by a computer device. The service processing method comprises: acquiring prompt information of a target item which is recalled for a service user, wherein the prompt information of the target item comprises information of the service user, features of at least one associated item which is associated with the service user, and features of the target item (S301); calling an item processing model under a model application inference framework, and on the basis of the prompt information of the target item, predicting the degree of association of the service user with the target item, wherein the item processing model is obtained by means of training under a model training inference framework, and is reused in the model application inference framework (S302), and the processing speed of the item processing model in the model application inference framework is higher than the processing speed of the item processing model in the model training inference framework; and performing service processing on the target item on the basis of the degree of association of the service user with the target item (S303).

The invention relates to the technical field of artificial intelligence, in particular to a government affair service-based machine learning intelligent question and answer analysis method and question and answer system. The method comprises the following steps: performing government affair service data acquisition based on a multi-channel government affair service data acquisition engine to obtain government affair service data; based on the government affair service data, carrying out government affair service question-answer associated combination matrix design, and generating a government affair service question-answer combination matrix; performing hierarchical topic relationship analysis of question and answer combination on the government affair service question and answer combination matrix to generate question and answer combination hierarchical topic relationship data; designing a government affair service intelligent question-answering model through question-answering combination level theme relation data; receiving instant government affair service user question data; and transmitting the instant government affair service user question data to the government affair service intelligent question and answer model to carry out government affair service multi-answer intelligent feedback processing so as to obtain government affair service multi-answer intelligent sorting data. According to the invention, efficient and accurate government affair service question and answer intelligent feedback is realized.

The invention relates to a work order generation method and device based on mail information, equipment and a storage medium, and the method comprises the steps: analyzing a to-be-processed mail, obtaining the text information and sender information of the to-be-processed mail, obtaining the voice description information inputted by a customer service user for the text information, converting the voice description information into target text information, and sending the target text information to a server; wherein the target text information is associated with semantics of the body information, extracting a semantic text of the to-be-processed mail based on the body information and the target text information, extracting semantic keywords corresponding to the semantic text and a question type represented by the semantic text, determining a work order template based on the sender information and the question type, and sending the work order template to the to-be-processed mail. And filling the semantic keyword and the semantic text into a work order template to generate a target work order. The work order can be accurately generated in combination with the text information of the mail and the target text information.

The invention discloses a cross-modal travel knowledge graph construction system based on a large language model, and relates to the technical field of knowledge graph construction and processing. Comprising a dynamic real-time acquisition and processing module, an intelligent knowledge verification and fusion module, a block chain credible record and multi-source verification module, a self-adaptive update strategy making module and a reinforcement learning optimization module. According to the method, by means of multi-source collection and cloud computing, the average knowledge updating time is shortened from 10 days to 2 days, and the problem of timeliness is solved; crowdsourcing, professional auditing and a model algorithm are combined, the auditing accuracy is improved, and the atlas is ensured to be complete and accurate; the credibility and authority of the knowledge graph are enhanced by applying a block chain technology; a model is established and a strategy is designed according to the multi-dimensional data, so that different user requirements are met; and a reinforcement learning algorithm and a scoring mechanism are introduced, so that the satisfaction degree is increased from 60% to 80%, the practicability is improved, and users are better served.

The invention provides a subscription service life cycle value prediction method based on multi-dimensional data analysis, and the method comprises the steps: building a multi-dimensional churn rate prediction model through obtaining user behavior data, and the historical income data and behavior data of a subscription service user, and carrying out the calculation of a user churn probability parameter, and constructing a subscription service life cycle value prediction model based on the obtained user loss probability parameter, historical income data and behavior data, and dynamically updating the subscription service life cycle value prediction model based on the obtained user behavior data and the change of the loss probability parameter in combination with the influence of the user behavior change and the loss risk thereof. And obtaining a dynamic user life cycle value prediction result. By combining multi-dimensional analysis of user behavior data, a wastage rate prediction model and a life cycle value prediction model are established, and a prediction result is dynamically adjusted, so that prediction precision and real-time performance are remarkably improved.

The invention relates to the technical field of computing power cabin cluster scheduling. The invention relates to a cluster scheduling control method based on a computing power cabin. The method comprises the following steps: S1, obtaining performance data of a computing power cabin, and then carrying out resource virtualization to form a resource pool; s2, collecting historical operation data and real-time operation data of the service user, and predicting a resource demand of the service user to obtain a predicted resource demand; s3, combining the predicted resource demand with the real-time operation data to carry out predicted volatility analysis, setting an isolation fluctuation threshold value, then comparing the predicted volatility with the isolation fluctuation threshold value, and when the predicted volatility is smaller than the isolation fluctuation threshold value, judging whether the predicted volatility is smaller than the isolation fluctuation threshold value or not; according to the method, resource demand prediction is carried out by using the historical operation data and the real-time operation data, resources can be allocated to the user more accurately, and when the predicted fluctuation rate is smaller than the isolation fluctuation threshold value, the resource instance is automatically started to carry out node isolation on the user, so that the stability of resource allocation is ensured.

The invention discloses a mobile switching management method, satellite communication equipment, a storage medium and a program product, and relates to the technical field of satellite communication. Whether the target user terminal is directly connected to the current satellite node or not can be quickly determined by using the positive service user list, and whether the target user terminal is in the service area of the current satellite node or not can be determined by using the positive service area list. Whether the target user terminal is in the service range of the adjacent satellite nodes or not can be determined by using the positive service user list of the neighbor nodes, and the position of the target user terminal can be efficiently determined under the high dynamic condition of the satellite network based on the cooperative use of the three lists dynamically maintained in each satellite node. And selecting an optimal path to route the paging message to the target user terminal.

The invention provides a satellite grouping management system for a satellite cloud computing internet platform. Comprising three modules: a grouping management module, a task scheduling module and a low-delay service migration management module, and the three modules all run on a management node k3s master of k3s; in the functional architecture, the client side skclient accesses an API provided by a system through a remote procedure call frame gRPC, and is used for submitting tasks to a task scheduling module and a low-delay service migration management module in a management node k3s master and adding and deleting a peer relation to a grouping management module; the API submits a task or service to the skagent on the working node satellite, and after the access of a user reaches the skagent running on the working node, the skagent running on the working node forwards a user request to a corresponding module of a management node k3s master of k3s; and the skagent running on each working node is also in communication connection with a satellite distributed file system. The problem that a resource scheduling system adapts to a satellite network with wide geographical distribution and high dynamic time-varying characteristics is solved.

The invention provides a dynamic permission allocation method and system for a large-scale agent, and relates to the technical field of artificial intelligence security, and the method comprises the steps: collecting the multi-dimensional access feature information of a historical service user group of a target agent in real time; and mapping the multi-dimensional and high-dimensional access features to a preset vector space, identifying a core resource access feature domain of the intelligent agent by calculating an affiliation relationship between a feature vector and each Voronoi cell, and outputting a dominant feature vector representing service features of the intelligent agent. According to the method, the precise permission strategy is dynamically generated by fusing agent behavior characteristics and real-time context, credible mutual recognition and self-adaptive evolution of the cross-domain strategy are realized based on the geometric topology network, and finally, the safety, flexibility and system efficiency of cross-domain collaboration are improved under the principle of ensuring the minimum permission.

The invention relates to the technical field of server data access control, and discloses a server data access control method, device and equipment and a storage medium. Distributed server deployment information is queried by estimating bidding document item service requirements of each sub-service area; solving a server data access control strategy by taking the overall processing delay condition of the server executing the corresponding service user bidding document item, the server hardware load and the server resource scheduling limitation as a constraint condition set and taking the server access experience of the service user in the target server access control time period as an optimization target; and resource scheduling and service user matching of the distributed server in each access control period are realized by using a control strategy, so that bidding document project service is executed. According to the method, the rationality of server data access control planning is improved by considering regional differences, time peak differences and strong regional relevance of bidding document application services in different industry categories and hardware resource limitations of distributed servers.

An apparatus, method and computer program are provided for determining an identifier serving a user equipment for a registered access and mobility management function associated with an Internet Protocol Multimedia Subsystem (IMS) service, while the user equipment may also have other registrations for the same subscription, but is not associated with an Internet Protocol Multimedia Subsystem (IMS) service.

The invention discloses an RIS-assisted multi-user communication beam forming optimization method and system based on a graph neural network, and belongs to the field of reconfigurable intelligent metasurface-assisted communication. According to the method, the scene that RIS assists in multi-user communication is considered, the graph neural network is used for optimizing active beam forming of the base station and passive beam forming of the RIS, and then the system transmission rate of a downlink is maximized. The graph neural network model comprises an RIS node and user nodes of which the number is the same as that of service users, the RIS node is responsible for obtaining passive beam forming for the RIS by utilizing graph learning based on channel state estimation information input by all the user nodes, and each user node corresponds to one user; and obtaining active beam forming of a base station corresponding to the user by utilizing graph learning based on channel state estimation information input by the corresponding user. According to the method, the graph neural network is used, perfect channel estimation is not needed, and the joint optimization problem of active beam forming and passive beam forming can be effectively solved.

The invention relates to the technical field of data processing and prediction, in particular to a multi-dimensional data driven subscription service user loss risk and value combined prediction method, and aims to solve the problems of data sparsity and high-dimensional feature conflict and multi-task target interference in existing subscription service user loss risk and value combined prediction. According to the method, multi-dimensional data of subscription service users are collected and preprocessed, and a feature extraction model fusing federated learning and a dynamic knowledge graph is constructed to solve the problem of data sparsity and high-dimensional feature conflict; a joint prediction model combining causal reasoning and a reinforcement learning dynamic weight mechanism is constructed to solve the problem of multi-task target interference; and carrying out training and prediction by utilizing the constructed model, and outputting a prediction result of the user loss risk and value. According to the method, the accuracy and reliability of subscription service user loss risk and value joint prediction are improved, and powerful support is provided for operation decision making of subscription service providers.

The invention discloses a method and device for realizing integrity protection of sensitive data of a database, and belongs to the technical field of database security, and the method comprises the following steps: identifying sensitive data of a key column of a data table in a target database through an encryption system, and recording the sensitive data as key data; integrity protection is configured for the key data, and a digital signature is applied; the method comprises the following steps: calculating an abstract value of key data by using an SM3 hash algorithm, and calculating related sensitive information of the current key data and an MAC value of a system key at the same time; the database service system accesses the key data through the proxy connection of the encryption system, data modification or new data insertion is carried out, that is, a service user carries out data entry and storage; the encryption system compares whether the MAC value of the related sensitive information of the current key data is consistent with the MAC value of the related sensitive information of the last key data, and returns a comparison result to the system; and displaying a data state corresponding to a comparison result returned by the system on a system web page.

The present invention discloses a method and system of an internet proxy service, configuring the service in an ingress proxy—a virtual single access point receiving requests from a user's device. Users' requests to connect to a target web service on the internet may be directed through a plurality of different proxy service nodes being managed by the ingress proxy node with specific efficient functionalities. The ingress node routes the requests to the target web service through one of the remote proxies (outbound nodes), according to metadata in the user's request. The invention enables more easily / efficiently to select outbound nodes randomly or stick to a selected outbound node. These special functionalities are useful when scraping web data, e.g., it appears technically efficient to use TCP / IP ports. Furthermore, the invention enables one to add other important configurations and functionalities to proxy services using the SOCKS5 protocol.

The invention provides a PCDN service identification method, a local node, a CDN server, electronic equipment and a computer readable storage medium, and relates to the technical field of network detection. The identification method comprises the following steps: establishing a PCDN service identification global model through combination of a CDN server and other local nodes in a plurality of local nodes based on federated learning; superposing PCDN service identification personalized feature data to train the PCDN service identification global model to obtain a PCDN service identification personalized model; and identifying own network flow based on the PCDN service identification personalized model so as to identify a PCDN service user. The problem that PCDN service identification accuracy is not high in the prior art is at least solved. The method is suitable for network detection and service detection scenes.

To provide a technique suitable for notifying a plurality of service provision candidates of presence of a person wanting to use the service via a communication network.SOLUTION: A method supports provision of a service via a communication network 140. The method includes: causing a server 130 to receive first access from a terminal 110 of a service user 10 via the communication network 140; and in response to the first access, causing the server 130 to make second access to terminals 120 of the plurality of service provider candidates 20 via the communication network 140.SELECTED DRAWING: Figure 1

The invention provides a cross-device service calling method and system and a storage medium, and relates to the technical field of cross-device control, in the method, a user can trigger a first electronic device to query surrounding online devices and cross-device services provided by the online devices through simple, convenient and rapid operation, and the user experience is improved. The first electronic device can call and start the cross-device service provided by one of the online devices based on user operation, for example, the first electronic device can call and start the cross-device service of the second electronic device, and a user can collect or generate an object on one side of the second electronic device through the called service. The generated object can be transmitted back to the second electronic equipment; a simple and rapid mode is provided, and after the first electronic device calls the service collection or generation object in the second electronic device, the service collection or generation object is transmitted back to the electronic device.

To provide a credibility confirmation system that enables a business providing a service to accurately authenticate a user's telephone number. [Solution] The system includes a suspicious phone number list 2, which is created for each service and in which the phone numbers of service users are registered with associated suspicious information based on the standards of the service provider providing the service, and a calculation means 3 that calculates the credibility of a phone number x of a specific user terminal A. The calculation means 3 calculates the credibility based on the information in the suspicious phone number list 2 and outputs the calculation result to a service management means 1.

To provide a flight service system capable of meeting many needs in a single flight in a flight service using an aircraft.SOLUTION: In the flight service system, a management system 100 holds information on an observation request in an observation request database 200 requested from a client other than a user of a flight service. The observation request includes an observation point designated by a requester. A flight route of an object aircraft 10 on which a user U boards is generated to pass through the observation point.SELECTED DRAWING: Figure 3

Methods, systems, storage media for authentication are described. On the methods includes receiving, at a smart contract on a distributed ledger, a signed authentication challenge. The method includes verifying the identity of the user who signed authentication challenge. The method includes raising an event that indicates that the user has been authenticated; wherein a server listens for events from the smart contract, and associates a session between the browser and the server with the user based on the event.

A service portal enables a user to request a service from a variety of service providers from the comfort of home or elsewhere. The user is able to place the order and pay for the service using a computing device. Depending on the service request, additional steps may be included such as scanning an item or a room, packaging an item, and / or other preparatory steps. Items are able to be identified via scanning. Order entry is able to be initiated via the scanned identification. The scanned items are able to be inventoried and managed. Augmented reality is able to be used with the scanned items. A standalone services app is able to provide entertainment and other accompanying services.

Embodiments of this application provide a network slice adjustment method and apparatus, applied to the network slice field. The method may include: A slice configuration network element receives service experience information from a terminal device that not only includes identifier information of a base station and identifier information of a network slice corresponding to a service, but also include quality of service indicator information and / or service user experience information. Then, the slice configuration network element may determine, based on the service experience information, that the base station corresponding to an identifier of the base station cannot meet the service, and adjusta network slice supported by the base station. Further, in embodiments of this application, configuration of the network slice supported by the base station may be automatically optimized, so as to avoid a case in which the service of a user is adversely affected.

The invention provides a Slurm cluster servitization dynamic management method and system, a medium and a product, and the method comprises the steps: submitting a custom resource CRD based on Kubernetes Operator, and defining the configuration information of a Slurm cluster; the controller schedules and adjusts the computing nodes according to the scheduling strategy, automatically generates a configuration file required by the Slurm cluster, and deploys the Slurm service; a user submits a job through the Slurm client, and knows the state of the job through the Slurm monitoring service; and the controller monitors the change of the custom resource CRD. According to the invention, a service dynamic management method for the Slurm cluster is introduced through the Kubernetes Operator, and the technical problem that it is difficult for a user to construct and manage the Slurm cluster efficiently and autonomously in a cloud multi-user environment in the existing Slurm cluster is solved.

Methods for developing and managing long-term memory solutions for large language models (LLMs) within a context of providing agents of the LLM as a service are disclosed. Following task-related communications between LLM agents and users of the service, information pertaining to domain knowledge, user preferences, and success or not in completing the requested task is distilled into data samples by a reflections agent of the service. The data samples are then stored into a long-term memory database that is accessible by LLM agents in the future, such that the agents can recall information of previous interactions in order to more efficiently perform new tasks for users.

The invention discloses a dynamic resource allocation method for an NCO-NOMA-assisted UAV (Unmanned Aerial Vehicle) collaborative IRS-MEC (International Reference Station-Media Access Control) system. The dynamic resource allocation method is aimed at an MEC system comprising an IRS with # imgabs0 # reflecting elements, a plurality of users and a plurality of UAVs. The UAV serves as an air MEC server to provide a computing service for a user; a communication link does not exist between the user and the UAV, but task unloading is carried out with the help of the IRS; according to the method, users are grouped, each user group comprises two users and occupies an independent sub-channel, and task unloading is carried out through a non-complete overlapping NOMA technology; and equipment of all users is provided with a single antenna so as to meet the lightweight deployment requirement. The objective of the invention is to realize computing resource allocation, UAV selection strategy and flight path through joint optimization of user transmitting power, transmission time and IRS reflection phase shift on the premise of satisfying task delay constraints of each user and energy consumption constraints of each user and UAV, and to minimize task completion delay of all users in a UAV cooperative IRS-MEC system based on non-completely overlapped NOMA.

The invention discloses an unmanned aerial vehicle deployment method and device, and relates to the technical field of power field emergency planning. According to the main technical scheme, in a to-be-deployed area, the position coordinates of all users are determined firstly, then initial deployment information of the unmanned aerial vehicle is determined, and then four constraint conditions are constructed; from the four aspects of signal-to-noise ratio, preset transmitting power, constraint of unmanned aerial vehicle service user upper limit and constraint of communication link establishment between the unmanned aerial vehicle and the users, the method is equivalent to establishing constraints in four requirements of applying unmanned aerial vehicle networking, and finally, based on the position coordinates of each user and four constraint conditions, the unmanned aerial vehicle service user upper limit is determined. And adjusting the initial deployment information of the unmanned aerial vehicles to move and deploy each unmanned aerial vehicle to the target position. The method is applied to integrating the user position coordinates and multiple constraint conditions, mobile deployment of the unmanned aerial vehicle in a specific area is achieved, and large-scale emergency communication requirements are met through effective deployment networking of the unmanned aerial vehicle.

The invention relates to the technical field of data filling and reporting, and particularly provides an intelligent auxiliary filling and reporting method and device, and the method comprises the following specific steps: S1, creating an auxiliary filling and reporting basic information table; s2, creating a form, and configuring form permissions according to department requirements; s3, based on user historical data field association, realizing automatic filling of a mapping relation between a field needing to be configured by form creation personnel and data center source data; s4, the user enters the service form for filling; s5, searching a mapping relation between a data source field related to the data source field and a current form field in a database; s6, providing personalized data recommendation service for the user; and S7, the user edits and modifies the automatically filled data according to the actual situation, and after modification is completed, the data is stored in the database and the personnel information table is updated. Compared with the prior art, the method and the device have the advantages that repeated input of the data can be reduced, the filling time of the user is reduced, and the data filling efficiency and accuracy are improved.

A portable charger has a pre-assigned battery ID. The portable charger includes a wireless power receiving device corresponding to a wireless power transfer device, and a communication device being communicable with a mobile communication terminal. The mobile communication terminal stores the battery ID and a user ID in association with each other. The service server stores the battery ID, the user ID, and a validity of a service user's right to receive a chatting service, in association with each other. The service server is configured to acquire the battery ID and the user ID from the mobile communication terminal and execute an authentication process of determining the validity of the service user's right to receive the charging service for the portable charger that is, identified by the acquired battery ID based on the acquired user ID.