289 results about "Service experience" patented technology

The invention relates to the field of communication service support systems, and particularly provides a service provisioning process oriented anomaly identification and automatic compensation method and device, service provisioning process modeling is an ordered process chain composed of a plurality of processing nodes, and each node corresponds to a specific service system operation; a unique flow identifier Flow ID is generated for each service instance and used for whole flow state tracking, execution results, state codes and response time information of all flow nodes are recorded in a flow tracking database in real time, and after execution of each node is completed, events are published for other modules to subscribe to, so that an asynchronous observable link is formed. Compared with the prior art, the method can achieve the closed-loop processing of the abnormal process, remarkably reduces the manual intervention rate, improves the business activation success rate and customer service experience, and improves the stability and reliability of a service opening link.

The invention relates to the technical field of voice recognition, in particular to a voice interaction system and method for customer service based on artificial intelligence, and the system comprises a voice input processing module, an intention classification and routing module, a context dynamic adjustment module, a user behavior learning module, a multi-level intention fusion module and a final result module. According to the method, a multi-dimensional feature system is constructed by extracting tone intensity, speech speed frequency and emotional fluctuation amplitude, intention categories, priority weights and confidence scores are generated to realize accurate acquisition of appeals, and dialogue history, context and emotional change dynamic reconstruction path nodes, switching rules and response time sequences are tracked during interaction. Historical behavior mining preference features, habit fusion intention relevance, emergency calculation of an optimal strategy, construction of service steps, resource allocation schemes and execution timelines, adjustment of an interactive interface, a service process and a feedback mechanism according to multi-dimensional analysis, guarantee of differentiated service experience, and improvement of response accuracy and user satisfaction.

The invention discloses a large-scale user behavior analysis and dynamic pricing system based on artificial intelligence, which relates to the technical field of intelligent pricing, and comprises the steps of constructing a spatial-temporal characteristic system fusing multi-source heterogeneous behavior data, introducing a time sequence embedding technology of a graph neural network, and constructing a dynamic pricing system. And layering the discriminated semantic feature vector capability by adopting a hierarchical strategy network, and constructing a dual-path dynamic pricing collaborative system of an online collaborative optimization mechanism and an offline collaborative optimization mechanism. According to the method, deep description and dynamic evolution modeling of a user behavior mode are realized, the individuation, the real-time performance and the stability of a dynamic pricing system are effectively improved in combination with a hierarchical strategy network and a double-path collaborative optimization mechanism, more accurate price decision can be realized in a complex and changeable market environment, and the user experience is improved. And the enterprise income capability and the user service experience are enhanced.

This application provides a communication method and apparatus. The method includes: acquiring multi-domain data information, which includes first data information and second data information. The first data information is data information related to user service experience, and the second data information is data information related to wireless key performance indicators of user services. Based on the multi-domain data information, a digital twin is determined. The digital twin includes entity objects and corresponding attribute information. The entity objects include user entity objects, network function entities, grid entity objects, and service entity objects. The attribute information corresponding to the entity objects includes attribute information of the user entity objects, attribute information of the network function entities, attribute information of the grid entity objects, and attribute information of the service entity objects. The digital twin is used for network optimization. Using this application, a digital twin can be constructed and used for network optimization, thereby improving the service experience.

The invention provides a customer service system based on large-model multi-agent. The system comprises a semantic sharing platform, a task scheduling strategy module and a large-model agent module. By rebuilding a customer service system architecture and introducing a large-model multi-agent collaboration mechanism, a customer service system with global semantic understanding and task self-adaption capabilities is constructed, and closed-loop optimization from user intention recognition, task execution to feedback learning is realized by a plurality of agents through division of labor, cooperation and context and knowledge sharing. Therefore, the customer service experience and efficiency are comprehensively improved.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. According to an example of the present disclosure, a method performed by an NWDAF entity in a wireless communication system, the method comprising: receiving, from a PCF entity, a first message requesting analytics of QoS and policy assistance, wherein the first message includes at least one QoS parameter set; and transmitting, to the PCF entity, a second message including the analytics. The analytics include predictions on the QoS and policy assistance associated with the at least one QoS parameter set, and QoS parameters or a policy to apply for a service are based on the analytics.

The invention relates to a flow control method and device based on a dynamic queue weight and a global overflow bucket. The method comprises the following steps: distributing network messages to corresponding message queues according to a preset classification rule; dynamically generating the queue weight of each queue according to the real-time queue state of each queue; calculating virtual completion time of each queue based on the queue weight; determining a target message to be sent according to the virtual completion time; when the number of the tokens in the queue where the target message is located is insufficient, the tokens are called from a global overflow bucket; and sending the target message based on the called token. According to the flow control method and device based on the dynamic queue weight and the global overflow bucket, time delay can be reduced, packet loss can be reduced, the utilization rate of network resources can be improved, burst flow processing can be optimized, real-time service experience can be guaranteed, token waste can be avoided, and queue bandwidth allocation can be balanced.

The application provides a method and device for switching network slices, applied to the field of network slices. The method can include: a slice selection network element receiving resource information of an original network slice from a network slice management function network element, wherein the resource information of the original network slice includes one or more of the following: performance indicators of the original network slice, alarm information of the original network slice, and an analysis report for the original network slice; then the slice selection network element determines whether to switch a terminal device on the original network slice to a target network slice according to the resource information of the original network slice and a network slice switching strategy, wherein the network slice switching strategy includes a trigger condition for switching network slices, an identifier of the target network slice, an identifier of the original network slice, and an identifier and / or application identifier of the terminal device on the original network slice. Through the application, the service experience after network slice switching can be improved.

The invention provides a tourism question-answering system based on knowledge graph enhancement, and the system comprises a domain ontology module which obtains a structured data set of a tourism-related region, and constructs a tourism domain ontology model; the graph construction module is used for constructing a tourism domain knowledge graph in combination with the tourism domain ontology model; the hybrid index module is used for constructing a hybrid vector index and carrying out millisecond-level similarity search; the query identification module is used for generating a structured understanding result according to a query input by a user; the retrieval enhancement module is used for performing multi-path retrieval and retrieval optimization and outputting a query related knowledge fragment set; the answer generation module is used for generating structured tourism answers based on the query related knowledge fragment set; and the personalized recommendation module performs user portrait construction, personalized recommendation, multi-round dialogue management and active interaction. According to the invention, accurate, real-time and personalized intelligent tourism consultation service can be provided for tourists, and the reliability, adaptability and service experience of tourism questions and answers are greatly improved.

The invention discloses a data transmission method, and belongs to the field of communication, the data transmission method comprises the following steps: when uplink data to be transmitted corresponding to a first wireless transmission path is determined to be time delay sensitive data, wireless resources are preferentially allocated to the first wireless transmission path, and by adopting the above technical scheme, the uplink data to be transmitted corresponding to the first wireless transmission path can be transmitted according to the time delay sensitive data. According to the embodiment of the invention, under the condition that the uplink data to be transmitted corresponding to the first wireless transmission path is determined to be the time delay sensitive data, the wireless resource is preferentially allocated to the first wireless transmission path, so that the time delay sensitive data is transmitted through the preferentially allocated wireless resource, the sending performance of the time delay sensitive data is optimized, and the service experience of a user is improved.

The invention discloses a cell selection method, a cell selection system and a related device. And the terminal resides in the first cell and executes the first service. Wherein the type of the first service is the first type. If the terminal detects that the first service is blocked, searching a first cell list; wherein the first cell list comprises one or more cells, and the one or more cells in the first cell list comprise the second cell. And the terminal acquires capability information of one or more cells in the first cell list. And the terminal resides in the second cell based on the first type and the capability information of one or more cells in the first cell list. Thus, the terminal jointly selects the cell to be resided according to the service type and the capability information of the cell, consideration factors are more diversified, and the method is more suitable for the application scene of the terminal. When the network is seriously congested and interfered, the cell suitable for executing the first service can be efficiently determined, and higher throughput and better service experience can be realized.

Aspects of the present disclosure relate to a first network function for wireless communication arranged to provide service experience analysis for at least one target user equipment. The first network function includes: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the first network function to: receive a first analysis request from a second network function, where the first analysis request includes an indication that an analysis is to be provided when an energy efficiency policy is applied to a service; and determining a third network function responsible for defining an energy efficiency policy for the service and retrieving information whether a particular energy efficiency policy is applied to the service. Further causing the network function to: collect observed service experience data from the application function and collect network service data from at least one node in the wireless communication network; when the particular energy efficiency policy is applied to the service, determining an analysis related to the service experience of the at least one target user equipment; and sending the determined analysis to the second network function.

A system and method for optimized airline selection in air travel bookings provides a comprehensive solution for enhancing user experience in choosing airlines. This system integrates an Al-driven web platform, communicably coupled with a database, which analyzes crowdsourced consumer input on airline service experiences across multiple metrics. A user interface of the platform enables users to submit feedback and view a public dashboard of airline evaluations. The Al system processes this data to generate and update performance assessments for airlines, aiding users in making informed decisions. Additionally, the system facilitates the selection and booking of air travel, optimizing the process through up-to-date performance assessments and user preferences, including using a virtual assistant to help with the selection and booking process. The system is industry-agnostic and adaptable to various applications beyond air travel.

The invention relates to the technical field of scenic spot intelligent interaction, and discloses a scenic spot intelligent question answering and recommendation method based on knowledge graph and large model fusion. The method comprises the following steps: receiving multi-modal original data to generate an entity relationship pair set, and structurally recombining the entity relationship pair set into a multi-layer abstract scenic spot semantic network; constructing an initial large language model containing a memory network and a reasoning module, and injecting full semantic association of a semantic network into the memory network; and collecting the query sample fine tuning model marked with the multiple intention labels, and generating a special interaction model. And in response to user query, the model executes intention classification and knowledge retrieval in parallel, calls memory network structured knowledge and reasoning module generation capability, and fuses output answers and recommendations. According to the method, the semantic understanding depth and interaction fusion of the scenic spot are improved, and the intelligent service experience is optimized.

This application provides a communication method, apparatus, and storage medium to better guarantee the user's service experience. The method includes: a network device determining, based on the computing resources of a first cell, whether a terminal device with computing tasks can reside in the first cell; and sending a first message to the terminal device, the first message being used to determine whether the terminal device with computing tasks should reside in the first cell. Correspondingly, the terminal device receives the first message; and if, based on the first message, it determines that it should not reside in the first cell, it reselects to a second cell, where the first cell has insufficient computing resources and the second cell has sufficient computing resources; or, if, based on the first message, it determines that it should reside in the first cell, it accesses the first cell, where the first cell has sufficient computing resources.

The application relates to the field of financial technology, and discloses a service request distribution method, device, equipment and computer readable storage medium, which comprises the following steps: when a service request is received, acquiring system resource parameters and response time parameters of each host; determining a system resource remaining resource load rate according to the system resource parameters, and determining a response time load rate according to the response time parameters; determining a health score of each host according to the system resource remaining resource load rate and the response time load rate; and distributing the service request to the host according to the health score. The health score of the host is comprehensively evaluated according to the performance index and the service experience index (response time) of the host, and then the request is distributed to the host according to the health score, so that the rationality and reliability of the allocation and scheduling of the service request can be improved.

The embodiment of the invention provides a carrier control method and system, which can solve the technical problem of poor energy-saving effect of 5G communication in related technologies. The method comprises the following steps: determining a business service quality requirement of a network service unit in response to the condition that the network service unit meets multi-carrier configuration; and determining to turn off the carrier turn-off function of the network service unit under the condition that the service quality requirement of the service meets the service requirement condition. According to the invention, the range satisfying the multi-carrier overlapping coverage is delimited through the grid coverage statistical data, and the end-network collaborative energy-saving strategy is implemented based on the 5QI identifier of the 5GA signed user. When the 5GA signed user appears in the 3CC overlapping coverage range and the service demand condition is met, the energy-saving strategy of the vertical direction carrier turn-off in the range is closed, so that the service experience of the 5GA signed user is ensured, and the energy-saving effect of the whole 5G network can be ensured.

The application discloses a data request processing method and device, electronic equipment and a storage medium, and the method comprises the following steps: receiving a service data packet of a user terminal according to a data processing device; in the case that the service data packet does not comprise a user identifier, obtaining encrypted verification information stored by the user terminal; and obtaining the user identifier pre-stored in a preset storage position according to the encrypted verification information. The embodiment of the application receives the service data packet of the user terminal through the data processing device, obtains the encrypted verification information stored by the user terminal when the service data packet does not comprise the user identifier, and finds the corresponding user identifier in the preset storage position according to the encrypted verification information, so that the problem that the user identifier cannot be obtained in the third-party service process is solved, the user can be provided with personalized service based on the user identifier, and the service experience of the user can be improved.

The invention discloses a human resource management service system based on Internet of Things, and relates to the technical field of Internet of Things and human resource management, and the system comprises a data collection module, a data analysis module, a data processing module and a local database, and is used for collecting customer service center environment, employee physiological behaviors and business multi-source data; according to the method, regional load and health risks are evaluated in two dimensions, a visual risk distribution diagram is generated, future overload risk levels are pre-judged, differentiated environment intervention and cross-regional task scheduling are matched, health intervention strategies are matched, the intervention effect is quantitatively verified through correlation analysis, a data splitting barrier is broken, accurate and preventive intelligent management and control of human resources of a customer service center are achieved, and the risk assessment efficiency is improved. Employee fatigue is effectively relieved, and resource allocation efficiency and customer service experience are remarkably improved.

The present application is applied to the field of communications. Provided are a communication method and a communication apparatus. In the technical solution of the present application, whether a terminal supports a network slice replacement characteristic is determined, and if it is determined that the terminal does not support the network slice replacement characteristic, a network slice replacement procedure between an RAN and a UPF is executed. In the technical solution of the present application, when a terminal does not support a network slice replacement characteristic, the service experience of a UE can be guaranteed by means of guaranteeing the service experience between an RAN and a UPF.

The invention provides an intelligent question-answer driven supply chain financial product aggregation and service system based on an artificial intelligence technology, which relates to the field of electric digital data processing and comprises an intelligent question-answer interaction module, a dynamic authority control module, an intelligent business process module, a cross-system data aggregation module and a personalized service optimization module. The intelligent question-answer interaction module is used for carrying out question-answer interaction with a user to identify a service intention, the dynamic permission control module is used for judging user permission in real time and carrying out dynamic adjustment, and the intelligent service process module is used for dynamically generating an operation form driven by metadata and executing a service process. The cross-system data aggregation module is used for realizing data intercommunication and aggregation of a multi-branch external business system, and the personalized service optimization module is used for analyzing user behavior habits and business preferences and optimizing a question and answer process; according to the system, the intelligent level of supply chain financial services can be remarkably improved, the operation complexity is reduced, and personalized financial service experience is provided for users.

A communication method is provided. A first network element receives an association identifier of a first application from a session management network element, where the association identifier is for associating different quality of service QoS flows of the first application. The first network element performs joint scheduling on the plurality of QoS flows of the first application that each carry the association identifier. Based on this solution, the first network element can identify, based on the association identifier, QoS flows belonging to a same application, and perform joint scheduling, thereby ensuring that the QoS flows of the same application can arrive at a terminal device simultaneously or a time interval between arrivals at the terminal device is small, so that the service experience of a user can be improved.

The application discloses a data transmission method, device and system, and belongs to the technical field of communication. A terminal device acquires a target connection identifier according to a service QoT level corresponding to a first service and a destination address of the first service. The service QoT level corresponding to the first service matches a device QoT level of the terminal device. The target connection identifier is a connection identifier of a target communication connection established between the terminal device and the destination address of the first service, and the target communication connection matches the service QoT level corresponding to the first service. The terminal device sends a service packet of the first service to the destination address of the first service. The service packet comprises the target connection identifier, and the target connection identifier is used for indicating that the service packet is transmitted based on the target communication connection. In the application, a network side can provide matched trusted transmission for services on the terminal device in combination with trustworthiness of the terminal device and trust demand of the services on data transmission, and the service quality of the network and the service experience of users are improved.

The application relates to the technical field of customer service man-machine interaction processing, and discloses a customer service man-machine intelligent interaction system and method based on communication object information. The system comprises a user information acquisition module, a customer service man-machine interaction information analysis module and a customer service man-machine interaction execution module. The appearance national type of a customer service user is scientifically analyzed through the matching success rate of the user appearance feature image, the appearance national type of a communication object is scientifically analyzed based on the appearance feature of the communication object, the customer service man-machine interaction AI model required for customer service man-machine interaction is accurately screened according to the appearance national type information of the customer service user, the language type used and the characteristic text data of the customer service man-machine interaction AI model scientifically set by combining an intelligent recognition algorithm, the customer service man-machine interaction AI model is scientifically customized based on the appearance national type and the language type of the communication object, and the service experience and quality of the customer service man-machine interaction are improved.

Embodiments of the present application provide a multi-agent collaborative processing method, a storage medium and a program product, which first acquires first information input by a user and accurately determines a first agent for core processing, then filters one or more second agents for auxiliary processing based on a preset agent dependency graph, and then formulates a scientific and efficient task execution strategy and collaboratively calls the two types of agents to carry out processing work, and finally outputs second information, which can effectively break the limitations of single-agent serial processing, realize multi-agent division of labor and cooperation, and parallelly promote the task, greatly improve the user information processing efficiency, speed up the message reply speed, and at the same time, rely on the collaborative cooperation between agents to improve the accuracy and comprehensiveness of the processing result, and provide users with a more optimal and convenient service experience.

The utility model discloses a luggage transfer robot with an intelligent leader function, which relates to the technical field of hotel service robots, and is characterized in that environment information is acquired in real time through a sensing unit, a control unit identifies target personnel or target positions, and guidance is output by combining an interaction unit; stable personnel following or path guidance is realized, and intelligent service experience of hotels is improved. A user can input a verification code through the display operation screen or swipe a card through the card reading area, the control unit controls the corresponding cabin door to be opened after verification, safe and convenient article storage and taking are achieved, and using habits of different guests are met. The driving motor is matched with the transmission assembly to drive the cabin door to be opened and closed, the microswitch is arranged to be matched with the touch connecting rod, the state of the cabin door is detected in real time and fed back to the control unit, the control unit controls the driving motor to stop acting according to state signals, a complete control closed loop is formed, motor overload and misoperation are prevented, and use safety is improved.

The present disclosure provides an artificial intelligence-based base station clock information synchronization method and system and related equipment, relating to the field of communication technology. The method comprises: collecting clock state data and / or network performance data of each operator base station in a first time period; fusing the clock state data and / or network performance data of each operator base station in the first time period to construct a cross-operator base station clock synchronization feature matrix; inputting the cross-operator base station clock synchronization feature matrix into a pre-trained clock offset prediction model to output base station clock offset trend information of each operator base station in a second time period, the second time period being a time period occurring after the first time period; and performing a clock information synchronization operation on each operator base station according to the base station clock offset trend information of each operator base station in the second time period. The present disclosure can effectively improve the service quality of the co-construction and sharing network and reduce the decline in service experience caused by the unsynchronized base station clocks.

Provided in the embodiments of the present application are a communication method and apparatus, which are used for reducing the probability of random access failure of a terminal device, and improving the accuracy of triggering a corresponding event. In the method, a terminal device performs prediction on the future signal quality, and reports a prediction result to a network device upon predicting an impending entry into weak coverage, i.e., signal degradation, such that the network device can communicate with the terminal device on the basis of the prediction result, thereby improving the service experience under weak coverage.

The embodiment of the application belongs to the technical field of data transfer and digital medical treatment, is applied to the field of automatic transfer of medical data, and relates to a data automatic transfer method, device, equipment and storage medium thereof, and comprises the following steps: acquiring file data in a new business scenario according to a preset HDFS component; and calculating updated data in a Hive data warehouse according to a MapReduce component, replacing the updated data into a corresponding first batch of business data table, and completing automatic updating and transfer of the updated data from the Hive data warehouse to the first batch of business data table. The automatic transfer of file data to the Hive data warehouse and the automatic transfer of Hive data warehouse data to a relational data table are realized in an automatic manner, manual transfer is automatically replaced, time is saved, and the problem that data updating is not timely due to manual transfer and the poor service experience of patients are avoided.

The invention discloses a semantic clustering session intelligent scheduling system and method based on artificial intelligence, and relates to the technical field of semantic analysis. Voice call data and online customer service text streams are synchronously acquired, and an attention mechanism is adopted to fuse a joint semantic vector and a user value mapping vector, so that the semantic clustering session intelligent scheduling efficiency is improved. Generating a context coding vector in combination with the attenuation factor; constructing an initial topic node based on the context coding vector, dynamically updating a node weight through a session frequency attenuation factor, and generating a topic association graph with a weight edge; constructing a three-dimensional efficiency model for historical sessions associated with the map nodes, analyzing efficiency scores of customer service reply verbal skills, and triggering knowledge base sorting updating; and monitoring the value index change rate of the topic node in real time, and automatically triggering a fusing mechanism and dynamically allocating an exclusive seat when the sudden increment of the association session of the high-net-value user group is detected. The customer service response quality is improved, and the service experience of the user is improved.