110 results about "Service policy" patented technology

A service-level communication and computing collaborative resource allocation device and method for a large-scale satellite network are provided, the device includes: a network information management function module including a service request collection unit configured to collect service requests arriving at each satellite node in the network, and a network resource collection unit configured to collect available resource status information for each satellite node; a service preprocessing function module configured to preprocess service requests; a service feature extraction function module configured to perform feature extraction for preprocessed service requests to generate service demand features; a service order decision submodule configured to determine a service order of service requests; a service strategy decision submodule configured to output a service strategy of the service request. The device and method can effectively ensure that the large-scale satellite network provides high-performance services for service with service demands of communication and computing collaborative resources.

The invention discloses an activity strategy generation method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a service activity strategy recommendation description inputted to a strategy processing large model by a server for a platform service promotion activity, determining a target activity scene and an activity strategy generation intention by adopting the strategy processing large model based on the service activity strategy recommendation description, and calling a service strategy knowledge base to generate an activity strategy logic structure based on the target activity scene and the activity strategy generation intention, generating activity strategy canvas configuration data conforming to a preset strategy process arrangement standard based on the strategy logic structure, and performing strategy process rendering in a strategy canvas management engine by adopting the activity strategy canvas configuration data to obtain target activity strategy data for the platform service promotion activity, and a high-quality activity strategy can be generated for the platform service promotion activity.

The invention provides an intelligent customer service system, which comprises an information acquisition module used for identifying a customer identity according to a user login account and obtaining historical data under the account; the grading module is used for establishing a customer portrait model according to the historical data and classifying customer types; the matching module is used for automatically matching a service strategy model version corresponding to the account according to the customer type obtained by the grading module; the knowledge graph response module is used for carrying out deep analysis on client input contents based on the natural language understanding capability of a large language model in combination with a context, a client portrait and historical data after the version of the service strategy model is determined, automatically generating a task list and a semantic tag tree for a dialogue, and continuously optimizing the task list and the semantic tag tree; starting from a problem node of the task list, analyzing a corresponding semantic tag along an optimized and trained path in the knowledge graph, and matching a service processing action; and triggering a back-end system interface associated with the node according to needs, transferring real data, and solving client problems.

A flow tagging technique includes tagging a data flow at a plurality of points in the data flow. For example, the data flow can be tagged at a socket and at a proxy manager API. By tagging the data flow at multiple points, it becomes possible to map network service usage activities to the appropriate initiating applications.

A container mirror image generation system based on an agency-free service grid framework comprises a multi-dimensional rule configuration module, a full-link gray level isolation module, a micro-service strategy injection module, a byte enhancement module and a link unvarnished transmission implementation module. The advantages of a software toolkit (core tools and libraries required for developing, compiling, debugging and running application programs) and a service grid are combined, and non-invasive treatment logic injection, flexible expansibility and efficient performance optimization are provided. The service management in the micro-service architecture is simplified, the observability and safety of the system are improved, and the method has important significance for the modern micro-service environment.

Device assisted services (DAS) install techniques are provided in accordance with some embodiments. In some embodiments, DAS install techniques for providing service processors for mobile devices are provided. In some embodiments, DAS install techniques for downloading / installing new and / or updated service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing verified service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing secured service processors for mobile devices are provided. In some embodiments, DAS install techniques include determining if a communications device in communication with a wireless network includes a service processor for assisting control of the communications device use of a service on the wireless network, in which the service processor includes a service profile that includes a plurality of service policy settings, and in which the service profile is associated with a service plan that provides for access to the service; and verifying the service processor. In some embodiments, DAS install techniques include providing a generic first version service processor for downloading and installing a second version service processor.

The invention discloses a service strategy determination method and device and electronic equipment, and relates to the artificial intelligence technology, and the method comprises the steps: obtaining the credit information of a target user, the credit information at least comprises personal basic information, credit transaction information, financial institution interaction information and credit score information; respectively inputting the personal basic information, the credit transaction information, the financial institution interaction information and the credit scoring information into at least two evaluation models, and obtaining evaluation results respectively output by each evaluation model; and determining a target service strategy of the target user according to the at least two evaluation results. According to the method and the device, the loss condition of the user can be determined through the at least two evaluation results, so that the user retention rate can be improved by implementing the corresponding service strategy, and the beneficial effects of providing personalized services for different users, improving the user experience and reducing the user loss rate are achieved.

The invention relates to the technical field of government affair services, in particular to a government affair service policy effect intelligent evaluation system based on multi-source data fusion. The system comprises a data acquisition module, a data fusion module, an evaluation model module and a result output module. The data acquisition module acquires policy-related data from a plurality of heterogeneous data sources; the data fusion module performs cleaning, normalization and semantic fusion processing on the multi-source data; the evaluation model module analyzes fusion data by using an intelligent evaluation model based on a causal inference framework, and quantitatively evaluates multiple dimensions of a policy effect; and the result output module generates a structured evaluation report. According to the method, the causal relationship between policy intervention and effects is accurately identified through a causal inference technology, multi-source data semantic fusion is realized by adopting the knowledge graph, the method has dynamic assessment and feedback calibration capabilities, and the accuracy and practicability of policy effect assessment are effectively improved.

A flow tagging technique includes tagging a data flow at a plurality of points in the data flow. For example, the data flow can be tagged at a socket and at a proxy manager API. By tagging the data flow at multiple points, it becomes possible to map network service usage activities to the appropriate initiating applications.

Methods and systems for managing services (e.g., the development, deployment, and configuration of services) are disclosed. User intent associated with policy related configurations for computer implemented services are directly and automatically translated into a set of user intended network policy and rules to be applied (e.g., enforced) by the computer implemented services without any need for the user to understand how the policies will be configured and implemented by the service deployment environment.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a service strategy generation and optimization method, device, equipment and medium, and the method comprises the steps: collecting multi-source interaction data to generate a multi-dimensional dynamic portrait, and obtaining an initial service strategy based on preset strategy set matching, and generating a to-be-executed service strategy in combination with an action combination output by the value network, constructing abnormal scene test data by using the generative adversarial network to complete verification and adjustment, obtaining a final service strategy, recording portrait change data and service indexes by executing the final service strategy, and feeding back the portrait change data and the service indexes to the value network and the portrait construction model. Through data-driven dynamic portrait modeling and strategy closed-loop optimization, the defects that in the prior art, a static rule is relied on, and different requirements of clients are difficult to adapt are overcome, dynamic evolution of the client service strategy is achieved, the real-time performance of the service and the resource configuration efficiency are improved, and the client experience is remarkably improved.

The invention discloses a discrete manufacturing full-life-cycle intelligent computing system and method, the system comprises a data knowledge layer, a computing adaptation layer and a parallel service layer, a virtual matching mechanism is used between the data knowledge layer and the computing adaptation layer, that is, primary mapping is formed according to task demand description and manufacturing resource description in a twin world, an optimal algorithm is called for a specific task, the most reasonable resources are adapted, an optimal service strategy is obtained, and a mapping process from a service demand to the service strategy is realized; a virtual-real parallel computing mechanism is used between a computing adaptation layer and a parallel service layer, that is, a mutual linkage relation is established in a physical world according to a service execution strategy obtained in a twin world, so that the requirement of discrete manufacturing full-life-cycle intelligent service is met, and the mapping process from a service strategy to service execution is achieved. And through two times of mapping, autonomous computing adaptation of task-knowledge-algorithm-resource in the whole life cycle of discrete manufacturing is realized.

The present disclosure relates to a 5th (5G) generation or pre-5G communication system for supporting a higher data transmission rate beyond a 4th (4G) generation communication system such as long term evolution (LTE). The present disclosure is to process policy and parameter information for providing a service in a wireless communication system, and an operating method of a base station may include obtaining mapping information of service quality related to direct communication between a first system and a second system, and switching between the quality of service of the first system and the quality of service of the second system using the mapping information.

A data processing method includes: obtaining a service surface activity feature of an object in a service, and inputting the service surface activity feature to a deep mining and analysis model, the deep mining and analysis model being configured to deeply mine one or more factor semantic representation features for a surface activity feature based on a configuration affecting factor system of the service; performing deep mining and analysis processing on the service surface activity feature in the deep mining and analysis model based on the configuration affecting factor system, to obtain a factor semantic representation feature of the service surface activity feature for each configuration affecting factor; and outputting a service policy of the object for the service and policy interpretation information for the service policy based on the factor semantic representation feature of the service surface activity feature for each configuration affecting factor.

Network service provisioning is described. Network service provisioning to a device includes a mechanism for ensuring that network services are available based upon one or more of appropriate traffic control, billing, and notification policies. Ensuring that the policies are properly enforced on a device is a focus of this paper. The enforcement policies can be on the device or in the network.

The embodiment of the invention provides a method and a device for determining a service strategy and a communication system. The method comprises the following steps: a first function network element acquires user information of a first service; determining policy information of the first service according to the user information of the first service; the policy information of the first service comprises execution range information of the first service and service quality information of the first service; and the first function network element sends the policy information of the first service to the second function network element. According to the method, the first function network element determines the strategy information of the service from the service dimension, the service quality of the service can be provided, the execution range of the service can also be provided, and any new service of the communication network service can be supported as well. Therefore, the method can effectively meet and support strategy requirements of various services.

An apparatus for an application function (AF) includes a communication interface and a processor operably coupled to the communication interface. The processor is configured to receive, via the communication interface, network slice identification and media service identification across slices for a media service. The processor is also configured to manage a service corresponding to the network slice identification to a user equipment (UE). The processor is further configured to receive, via the communication interface, expected media service policy information from the UE. In addition, the processor is configured to identify policy information corresponding to each of the slices, respectively. The processor is also configured to transmit, via the communication interface, the policy information corresponding to each of the slices, respectively.

The invention discloses a government affair large model fine tuning data processing method and device, electronic equipment and a storage medium. The method comprises the steps that S1, QA pairs are extracted from sessions in an artificial customer service session data library and then classified to obtain government affair policy consultation class QA pairs and item search query class QA pairs; s2, according to the dialogue round number and theme number of government affair policy consultation and item search query class QA pairs, questions and answers are combined and assembled to form OA pairs, and the OA pairs are added into a QA pair data table; s3, customizing the standardized government affair service knowledge in a grading manner to form direct QA pairs, and storing the direct QA pairs in a QA pair data table; and S4, performing fine adjustment on the QA pair pair basic large model in the QA pair data table obtained in the two modes to obtain a government affair large model. According to the method, it is ensured that the fine-tuned government affair large model can quickly understand the user questions, accurate and professional answers are given, the service efficiency is remarkably improved, and the performance and competitiveness of the government affair large model are kept.

The invention discloses a big data-based agency service strategy optimization management system and method, particularly relates to the technical field of agency service strategy optimization, and relates to a big data-based agency service strategy optimization management system and method. The main purpose of the invention is to carry out optimization management on agency services through a big data analysis technology. According to the system, store request data is collected, cleaned, filed and analyzed, so that the network quality can be accurately evaluated, the time period of a high-frequency request is identified, and a resource scheduling strategy is optimized through a multi-dimensional decision framework. Through deep analysis of the store network quality and the service request, the stability and the response speed of the proxy service can be improved, so that the overall service efficiency and the user experience are improved.

A fifth (5G) generation or pre-5G communication system for supporting higher data transmission rates than fourth (4G) generation communication systems such as Long Term Evolution (LTE) is disclosed. An object of the present disclosure is to handle parameter information and policies for providing services in a wireless communication system, and a method of operating a base station may include: obtaining mapping information regarding quality of service related to direct communication between a first system and a second system; and using the mapping information to perform a handover between the quality of service of the first system and the quality of service of the second system.

The invention provides an SRv6 path selection method based on a knowledge graph. The method comprises the following steps: step S100, constructing a network knowledge graph library and a strategy and SID mapping library; step S200, performing natural semantic analysis on the business strategy input by the user to obtain business indexes; s300, arranging an SID sequence corresponding to the service strategy according to the service index, and if the service strategy input by the user is similar to the historical strategy meeting the condition, querying the strategy and SID mapping library, and outputting an SID sequence corresponding to the similar historical strategy; and if there is no similar historical strategy, mapping the service index into a specific network path weight and a constraint condition, calculating to obtain a physical path conforming to the service index, converting each node or link in the path into a corresponding SRv6 SID, arranging into an SID sequence, and storing the SID sequence and the corresponding strategy in a strategy and SID mapping library.

The embodiment of the invention provides an access network strategy control method and device and a storage medium, and the access network strategy control method applied to access network equipment comprises the steps: receiving strategy configuration information from a core network control plane network function; generating or updating a business service strategy based on the strategy configuration information; and sending part or all of the information in the business service strategy to target equipment. According to the embodiment of the invention, the strategy control of the data flow can be realized at the access network equipment, the network signaling overhead and the information transmission time delay are reduced, the business service strategy control efficiency is improved, and the user experience is improved.

The embodiment of the invention provides a method and a device for determining a perception service strategy and a communication system. The method comprises the following steps: a first function network element acquires identification information of a perception service; determining policy information of the sensing service according to the identification information of the sensing service; the policy information of the sensing service comprises service quality information of the sensing service; and the first functional network element sends the policy information of the sensing service to the second functional network element. According to the method, the first function network element can determine the strategy information of the perception service from the service dimension to provide the service quality of the perception service, and the method is also suitable for an evolved communication network, so that the strategy requirement of the perception service can be effectively met and supported.

The invention discloses an AI service strategy updating method and device, a functional entity, a medium and a product, and relates to the technical field of communication, and the method applied to a first functional entity specifically comprises the steps: determining the execution capability information of the first functional entity based on the network state information of the first functional entity, when it is detected that execution capability information does not meet a preset capability index, a first service strategy adopted for executing the first AI task is updated, and the execution capability information is used for representing the capability of the first functional entity for executing the first AI task; and / or, receiving a first policy adjustment request sent by a second functional entity, and updating the first service policy based on the first policy adjustment request, the second functional entity and the first functional entity being functional entities deployed at the same network level; the first service strategy comprises at least one of a connection control strategy, an AI model selection strategy, a radio bearer DBR configuration strategy and a resource configuration strategy of the first functional entity.

The invention relates to the technical field of computers, in particular to a strategy execution method and a business promotion system for potential service objects, and aims to solve the problems of low accuracy and insufficient efficiency during processing of large-scale and high-dimensional data in the prior art. After a prediction request for a target object is received, inherent feature information and time sequence feature information of the target object are collected, the inherent feature information and the time sequence feature information are input into the two-channel deep learning model through the model layer, and the prediction probability and decision feature information that the target object becomes a potential service object are output. And if the prediction probability is greater than or equal to a preset threshold value, inputting the decision feature information into a strategy matching model, outputting a target service strategy, and calling an execution interface to execute the target service strategy so as to trigger a business promotion operation on the target object. According to the scheme, accurate identification of potential service objects and automatic execution of personalized strategies are realized, and decision accuracy and processing efficiency in a large-scale data scene are improved.

The specification discloses an activity strategy generation method and device, a storage medium and an electronic device, wherein the method comprises: obtaining a service activity strategy recommendation description input by a server to a strategy processing large model for a platform service promotion activity; determining a target activity scene and an activity strategy generation intention based on the service activity strategy recommendation description and using the strategy processing large model; calling a service strategy knowledge base to generate an activity strategy logic structure based on the target activity scene and the activity strategy generation intention; generating activity strategy canvas configuration data that meets a preset strategy flow arrangement standard based on the strategy logic structure; and using the activity strategy canvas configuration data to perform strategy flow rendering in a strategy canvas management engine to obtain target activity strategy data for the platform service promotion activity, so that a high-quality activity strategy can be generated for the platform service promotion activity.

This disclosure provides a service policy configuration method, device, apparatus, and storage medium. The method includes: receiving service request information sent by a terminal; the service request information carrying service configuration parameter information of the terminal; parsing the service request information to obtain the service configuration parameter information of the terminal; generating a service configuration message message conforming to the communication protocol between core network elements based on the service configuration parameter information and authentication configuration parameter information; the authentication configuration parameter information is obtained when authenticating the terminal; configuring an initial service policy according to the service configuration message message, and providing service to the terminal according to the initial service policy. This eliminates the need for manual configuration of the core network system, allowing the core network system to automatically adapt to terminal needs and automatically configure service policies, reducing the likelihood of configuration errors during manual configuration and effectively improving the efficiency of service configuration for the core network system.

The invention relates to a service strategy mining method and device, equipment, a medium and a product. The method comprises the following steps: acquiring a cross-subject relationship network and a preset service target, wherein the cross-subject relationship network is generated by performing data integration on multi-source heterogeneous data corresponding to a plurality of subjects; based on the service target, performing analysis processing on each subject in the cross-subject relation network, and determining at least one touch strategy; and performing strategy mining processing on the at least one touch strategy, and determining a target strategy. By adopting the method, the real-time performance of service strategy mining can be improved.

Providing data management as-a-service, including: presenting one or more available data services to a user; receiving a selection of one or more selected data services; and applying, in dependence upon the one or more selected data services, one or more data services policies to a dataset associated with the user.

The invention relates to the technical field of data processing, and provides a store service strategy generation method and device, equipment and a medium, which can start a pre-deployed multi-modal data acquisition device to acquire multi-modal data of a user in real time when a human body sensing device detects that the user enters a target store, so as to generate a store service strategy. The real-time performance and multi-dimensional coverage of the data are ensured; the multi-modal features are analyzed by using the user state recognition model, and the drunkenness risk reasoning model is used for reasoning to obtain the target drunkenness risk level, so that accurate reasoning can be performed through the multi-modal features, and misjudgment caused by a single data dimension is avoided; the target drunkenness risk level is utilized to perform traversal in the grading response strategy set to obtain the target store service strategy, and the target store service strategy is executed, so that targeted service can be performed after the drunkenness state is automatically identified, and the reasonability, safety and efficiency of store service are improved.