431 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 data analysis, can be applied to business scenes of financial science and technology, medical treatment and health and the like, and discloses a service processing method and device based on multi-source data fusion, equipment and a medium. The method comprises the following steps: performing anomaly detection, generating an anomaly early warning signal containing an anomaly type identifier and a severity parameter, constructing a feature portrait based on the data and the identifier, inputting an anomaly analysis model to generate an anomaly analysis score, determining a business strategy in combination with the score and the severity parameter, and finally generating a personalized service scheme. According to the method and the system, the heterogeneous data from the multi-source monitoring equipment is integrated and the anomaly detection is carried out, so that the defects of data islands and static evaluation in the prior art are overcome, the risk condition of a customer can be evaluated in real time, and a personalized service scheme can be generated. Through risk assessment and strategy generation, the decision-making efficiency is effectively improved, the service experience is optimized, and the pertinence and flexibility of the service strategy are enhanced.

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 relates to the field of vehicle maintenance, and discloses a vehicle maintenance method and device, computer equipment and a storage medium, and the vehicle maintenance method comprises the steps: collecting vehicle maintenance comprehensive data, carrying out the preprocessing of the vehicle maintenance comprehensive data, obtaining a driving behavior feature set, and analyzing the driving behavior feature set through a supervised learning model; and identifying a driving style, inputting the driving style and the driving behavior characteristics in the driving behavior characteristic set into the time sequence prediction model, obtaining a health assessment index, and generating a personalized vehicle maintenance plan according to the health assessment index in combination with a preset safety priority rule and a cost benefit rule. According to the vehicle maintenance method, the accuracy and timeliness of maintenance decision can be effectively improved, resource waste is reduced, the service life of the vehicle is prolonged, and the service experience of a user is improved.

The invention provides an electric power customer service semantic analysis method and device based on an AI large model and a medium, and the method comprises the steps: carrying out the slicing of a received electric power consultation text based on a natural language, and obtaining a plurality of consultation text segments; performing semantic relationship analysis on each consultation text fragment based on the semantic understanding ability of the AI large model, and constructing a semantic relationship graph according to the semantic relationship between words in each consultation text fragment; determining a target power business scene associated with each consultation text fragment based on the semantic relationship graph and the power business knowledge graph; performing cross-fragment semantic integration on each consultation text fragment based on the logic relation between the consultation text fragments to obtain a cross-fragment semantic integration text; and outputting a reply text based on the cross-fragment semantic integration text and the target power business scene. According to the invention, the customer consultation can be comprehensively and accurately processed, the efficiency and accuracy of the electric power consultation service are remarkably improved, and thus the service experience of the user is improved.

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 invention discloses a dialogue state tracking model optimization system and method in an electric power service scene. The system comprises a user interface module, a processing module and a storage module, after complex problems proposed by a user are analyzed step by step through the processing module, the user is helped to deeply understand the problems and find a solution by adopting a step-by-step guiding mode, meanwhile, when a client uses a language for interaction, artificial intelligence voice interaction is used for the user through a voice recognition module in the language processing module, and the user experience is improved. The language used by the user is recognized, the adaptive language is extracted from the storage module through the extraction module, the language of the artificial intelligence voice is switched into the language matched with the user through the switching module, and therefore better and more efficient communication with the user is achieved. The communication efficiency and the service quality are remarkably improved, the communication deviation caused by language differences is reduced, more efficient power service experience is provided for users, and meanwhile the labor cost and the service threshold are reduced.

The invention provides a communication method and device and a computer readable storage medium, relates to the field of communication, and aims to obtain a personalized package so as to effectively improve the service experience of a user. The method comprises the following steps: a network data analysis function sends multi-dimensional perception data to an operation agent, wherein the multi-dimensional perception data comprises data obtained by carrying out at least one of the following processing on data reported by a plurality of network function network elements by the network data analysis function: network perception processing, user perception processing or service perception processing; correspondingly, the operation agent receives the perception data and generates a personalized package based on the multi-dimensional perception data.

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 invention provides an intelligent reply method for a user service, a medium and electronic equipment, and can input current input information and historical context information of a user into a deep learning model to obtain an identified user intention, and then input the user intention and a question decomposition instruction into the deep learning model to obtain decomposed sub-intentions, thereby improving the user service reply efficiency. Acquiring skill indication information according to the sub-intention, inputting the sub-intention, the skill indication information and the user associated information into a deep learning model to acquire reply content, inputting the reply content and a content retouching instruction into the deep learning model, acquiring the reply content after combined retouching, and feeding back the reply content to the user, so that the user intention can be accurately understood; and accurate reply contents and services related to the business are provided according to the user association information in combination with the user demand, so that the problem that the intelligent customer service cannot accurately reply the intention of the user in combination with the business information in the prior art is solved, man-machine conversation can be more natural, smoother and more concise, and the conversation efficiency and service experience of the user are effectively improved.

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.

Provided are a communication method and a communication device, in a case where a terminal device supports a dual-connectivity capability, a unified data management function network element includes first information in sent subscription data, and the first information can indicate a network supporting the dual-connectivity capability provided for the terminal device. According to the technical scheme provided by the invention, the terminal equipment can select to access a certain network supporting the dual-connection capability according to own service requirements, and compared with an existing scheme of providing all accessible networks for the terminal equipment, the technical scheme provided by the invention saves signaling overhead, ensures the time delay of the service and improves the service experience of a user.

The invention provides a base station clock information synchronization method and system based on artificial intelligence and related equipment, and relates to the technical field of communication. The method comprises the following steps: acquiring 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, and constructing a cross-operator base station clock synchronization feature matrix; the cross-operator base station clock synchronization feature matrix is input into a pre-trained clock skew prediction model, base station clock skew trend information of each operator base station in a second time period is output, and the second time period is a time period after the first time period; and according to the base station clock offset trend information of each operator base station in the second time period, executing a clock information synchronization operation on each operator base station. According to the invention, the service quality of the co-construction and sharing network can be effectively improved, and the reduction of service experience caused by asynchronous base station clocks is reduced.

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.

A calling method includes: a first CSCF device receiving a first communication message containing first call signaling, where the initiator / calling party or the recipient / called party of the first call signaling is a roaming user equipment of the first CSCF device; and the first CSCF device routing the first call signaling to a roaming AS of the roaming user equipment based on the first communication message. The roaming AS is an AS in the home area of ​​the first CSCF device that is capable of providing value-added call services to the user equipment. This method can improve resource utilization of the roaming AS and enhance the service experience of roaming users.

The invention relates to the technical field of hotel management, in particular to an intelligent hotel check-in management platform and method based on the Internet of Things, and the method comprises the steps: arranging a face recognition device at a hotel entrance to obtain user face information, comparing the user face information with pre-stored identity information, and automatically matching a room card of a corresponding room after the comparison succeeds; generating a corresponding mobile route map based on the room position, and sending the mobile route map to a mobile terminal of the user to guide the user to reach the room; an RFID tag detection device is arranged at the door of the room to detect the in-out condition of key articles in the room in real time; when a guest initiates a check-out request, checking the housing time and the in-out condition of key articles in a room, and detecting whether the room card is placed back to a specified position by adopting an RFID technology after the check is passed; and after the room card is reset, a check-out request is initiated by a customer, so that the service experience of the customer is improved with relatively low cost by adopting an RFID technology, and the operation efficiency of the hotel is 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 present application provides a communication method applicable to a dual connectivity (DC) scenario. The method is applied to a master node MN. The method comprises: receiving QoS parameters of a PDU set, and sending first indication information to a core network, wherein the first indication information is used for indicating the PDU set processing capability of a QoS flow of the master node MN and / or a secondary node SN. The master node MN can acquire the PDU set processing capability of the secondary node SN by means of an Xn interface interaction process. In the DC scenario, the method can ensure that an access network device receives a data packet matching the device capability of the access network device, thereby improving the service experience of users.

The present application relates to the technical field of communications, and in particular to a measurement method and apparatus, in order to improve data transmission quality and improve service experience. The method comprises: a first communication apparatus obtaining first information, the first information being used for an RRM measurement period; obtaining second information, the second information being used for configuring a first time period; and skipping RRM measurement during the RRM measurement period within the first time period.

An embodiment of the present application discloses a method, a device, and a device for pushing after-sales services, which are used to push the after-sales service content that the target user may need by combining the analysis of the relevant data of the user, so as to improve the service experience of the user. The method of the embodiment of the present application includes: obtaining the first data information of the target user, where the first data information includes the user trajectory information and historical service information of the target user; determining the location of the service place according to the obtained location information of the target vehicle yard; determining the service items and corresponding service data of the service place; selecting the first service item from the service data in combination with the first data information, and pushing the first service information to the target user, where the first service information is the data information of the first service item and the corresponding service place.

The invention discloses an electronic contract signing and order settlement integrated platform in a zero-work system, and relates to the technical field of electronic contract signing, and the technical scheme is characterized in that the method comprises the steps: obtaining the current task publishing information and historical task data information of a task publisher; performing training processing on historical task condition information and zero worker state information in the historical task data information to obtain a task matching model I; performing training processing on historical task element trends in the historical task data information to feature change trends to obtain a second task matching model; task condition information in the current task release information is input into a task matching model I to predict and obtain a dispatch prediction result I, and task elements in the current task release information are input into a task matching model II to predict and obtain a dispatch prediction result II; the method has the advantages that integration of electronic contract signing and order settlement is achieved, and one-stop service experience is provided for workers and task publishers.

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.

The invention relates to the technical field of security check equipment, in particular to an integrated security check gate PLC control system which comprises a first security check door and a second security check door, and each security check door integrates a plurality of functional modules. All the modules are dispatched and controlled to be opened and closed in a unified mode through the PLC, the first security check door and the second security check door work cooperatively, and intelligent switching of boarding security check modes is achieved. Compared with an existing security check system, the system is high in integration level, modules work cooperatively, multiple boarding security check modes are switched intelligently, maintenance is convenient, and the passing efficiency and the humanized service level are effectively improved.

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.

Methods and systems for evaluating a service experience performance of a user may be provided. A method of evaluating a service experience performance may include capturing a screen based on a time unit until a landing image according to a scenario of a service is loaded, determining that loading of the landing image is completed based on the captured screen, deriving an amount of loading time until the loading of the landing image is completed, and indexing performance for the scenario of the service based on the amount of loading time and an evaluation reference time.

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.