229 results about "Service user" patented technology

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

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

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

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

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

The embodiment of the invention provides a personalized voice interaction method and related equipment, and belongs to the technical field of intelligent voice interaction. The method comprises the following steps: receiving an object question audio stream by adopting a streaming processing technology in response to a voice interaction service request; performing segmentation operation and preprocessing operation on the object question audio stream to obtain object question audio clips; performing object feature analysis on the object question audio clip to obtain a service object tag; carrying out object group classification on the service object labels, and selecting a corresponding voice recognition model according to a classification result of an object group; sequentially performing voice recognition on the object question audio clips by adopting a voice recognition model to obtain an object question text; and performing text analysis on the object question text to obtain an answer response. According to the scheme, the questioning audio can be accurately recognized, and the user experience of intelligent voice interaction service is improved.

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

Systems and methods for adaptive intelligent user validation are provided. Example techniques may include receiving an indication of initial user input associated with a user account for an online service during an authorized user session; providing the initial user input to a machine learning model as training data; generating a user signature associated with the user account based on providing the initial user input to a machine learning model as training data; receiving subsequent input associated with a subsequent attempt to access the online service by the user account; comparing the subsequent input to the user signature associated with the user account; and allowing a subsequent authorized user session of the online service for the user account based on determining that the subsequent input matches the user signature associated with the user account.

The application discloses a space-air-ground integrated internet relay selection and edge cache updating method, and belongs to the field of satellite communication. An access relay node with cache capability is established to build a space-air-ground integrated internet access selection and cache configuration model. Based on user historical request data, a graph neural network is used to learn user preference features and content features projected into the same feature space. The user preference features are used for clustering, and the users are clustered into user groups. According to a load balancing heuristic algorithm, the relay node for the user group is selected. According to the preference features and content features of the users served by the relay node, cache configuration updating is carried out. The application mainly aims at the space-air-ground integrated internet scene with relay nodes having cache capability, optimizes the access node selection result of the user, improves the cache hit rate, and thus improves the resource utilization efficiency and user satisfaction.

A computing system can detect the launch of a rider application on computing devices of users of a transport service. The computing system can receive location data indicating the current location of each user, and determine a usage pattern for each user based on historical data corresponding to historical utilization of the transport service by the user. Based on the current location and the usage pattern of the user, the computing system can determine one or more suggested destination locations for the user, and transmit, over the one or more networks, display data to cause the rider application to display a destination accelerator for each of the one or more suggested destination locations. The destination accelerator can be selectable by the user to automatically input a destination location into a transport request for the transport service.

The application discloses a method for calling a service, an electronic device and a readable storage medium, and belongs to the technical field of terminals. The method comprises the following steps: in response to the starting of a service user, obtaining device manufacturer information of the electronic device, wherein the device manufacturer information is used for indicating whether the electronic device belongs to a target manufacturer, and the target manufacturer is a manufacturer providing a service required by the service user; determining a target service end from at least one candidate service end according to a service priority query order matched with the device manufacturer information, wherein the at least one candidate service end all provide the service required by the service user, and the at least one candidate service end has different existence forms in the electronic device; and in response to a service request of the service user, processing the service request through the target service end. The application enables each service user to call the same service end under the condition of meeting the service sharing condition, thereby realizing service or data sharing.

The application provides a bandwidth adjustment method, device, equipment, storage medium and program product. A bandwidth adjustment method is provided for a cloud service user including multiple services, which comprises: when the bandwidth occupancy rate of a user instance reaches a first threshold, determining a to-be-adjusted service from multiple services corresponding to the user instance based on a flow log of the user instance; determining a throttling bandwidth ratio of the to-be-adjusted service; and generating a throttling configuration instruction of the user instance according to the throttling bandwidth ratio to limit the bandwidth of the to-be-adjusted service. The bandwidth of a large-flow service is limited when the bandwidth occupancy rate is high, thereby balancing the bandwidth of multiple services of a user and avoiding a high bandwidth occupancy rate of a large-flow service, which leads to a high delay of other services.

To access a radio access network (RAN), a user equipment (UE) receives (304), in a cell of the RAN, an indication that the cell supports a priority service. The UE initiates (308), in a cell of the RAN, a priority service based on a configuration other than a Service User subscription. The UE communicates (318), via the RAN, data packets associated with the priority service.

The application discloses a vCPE allocation method, device and system based on space-time characteristics, the method comprising: acquiring space characteristic data of a new user; finding served users with the same space characteristic data as the new user, and constructing a reference user set; finding time characteristic data of each user in the reference user set, the time characteristic data being used to represent the distribution characteristics of traffic over time; calculating reference time characteristic data according to the time characteristic data of each user in the reference user set; acquiring time characteristic data of each vCPE in a vCPE cluster, and calculating a first difference degree between the time characteristic data of each vCPE in the vCPE cluster and the reference time characteristic data; selecting a vCPE corresponding to the maximum value of the first difference degree from the vCPE cluster to allocate to the new user, and issuing a forwarding rule to the new user according to the allocation result. According to the embodiment of the application, the optimal vCPE can be allocated to the user based on the space-time characteristics of the user and the vCPE.

The invention belongs to the technical field of mathematical data management, and aims to provide a cloud control-based mathematical data management system optimization method, which is characterized by comprising a data acquisition end, a quantitative analysis end, an optimization upgrading end, an authority encryption end and a user server, the method comprises the steps of collecting user retrieval failure data, data abandoning data, error operation data and system operation data, uploading the data to a metadatabase, collecting system pain points by quantizing the data, performing classification and attribution analysis on the system pain points, outputting an optimization target list and then upgrading system core functions, and performing detail optimization on a user operation layer. The method comprises the following steps of: optimizing data, refining authority grading after optimization, encrypting the collected data, uploading the encrypted data to a cloud end, performing personalized recommendation on a user side based on data browsing, downloading and collecting of a user, and automatically adding a high-frequency error-prone special topic in a classification catalog according to a data use thermodynamic diagram to actively serve the user.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments of the present invention relate to a method and system for managing an ad hoc group call in a mission-critical (MC) communication system. The method for managing an ad hoc group call in an MC communication system comprises a primary MC system (10) and a secondary MC system (30). A first MC service server (25) in the primary MC system (10) receives an ad hoc group call initiation request from a first MC service client (15) including MC service identifiers of target users. The first MC service server (25) invites a second MC service client (20) by forwarding the request using a service ID assigned by the secondary MC system (30). Upon detecting that a third user has migrated to the secondary MC system (30), the first MC service server (25) transmits a redirection notification to the first MC service client (15) including both the old and new MC service IDs and the migration reason. The first MC service server (25) sends an ad hoc group call response indicating success or failure with details, and the ad hoc group call is established across the included MC systems (10, 30, 50).

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.

Techniques are disclosed relating to generating user-specific time-to-live (TTL) values using machine learning. In various embodiments, a server system maintains a cache data store that is operable to store data for a plurality of users of a web service. In response to a cache miss for a request from a first one of the plurality of users, the server system may generate a user-specific TTL value for the first user. In various embodiments, generating the user-specific TTL value may include using a machine learning model to generate a predicted future access pattern for the first user that indicates a distribution of time periods during which the first user is expected to access the web service and, based on the predicted future access pattern, determining the user-specific TTL value for the first user.

Methods and apparatuses to manage service user discovery and service launch object placement on a device. A method comprising: obtaining information to assist in identifying a portion of a user interface of a wireless device, the wireless device communicatively coupled to a network system over a wireless access network; determining a differentiating attribute of the identified portion of the user interface; obtaining one or more service launch objects for placement in the identified portion of the user interface; and sending configuration information to the wireless device over the wireless access network to assist the wireless device in placing the one or more service launch objects in the identified portion of the user interface.

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

The embodiment of the invention discloses an access authorization method, a service platform, an access authorization center, a client, an electronic device, a chip, a computer readable storage medium and a computer program product, the method is applied to the service platform, and the method comprises the following steps: receiving a first request sent by the client; the first request is used for acquiring user information of a first user; sending a second request to an access authorization center; receiving a verification result sent by the access authorization center; if the verification result represents that the first authorization information is valid, obtaining user information of the first user, and sending the user information of the first user to the client; according to the access authorization method provided by the embodiment of the invention, the access authorization center is decoupled from the account of the service platform, the user account is not directly managed, only authorization management is performed, the user account is managed by the service platform, and external exposure of service user data and data transmission and storage security risks are avoided.

A first edge device includes a processor configured to capture sensing information of the surrounding area and periodically communicate the sensing information, which includes position and time-of-day data, to a central cloud server. Based on the obtained sensing information, the processor obtains initial access information and sets various parameters, including beam indices for uplink and downlink communication, a Physical Cell Identity (PCID) for base station connection, and a beam configuration to service user equipment (UEs). The first edge device also communicates beam alignment information to the central cloud server and correlates the beam alignment information with the sensing data to generate a connectivity-enhanced database that specifies time-of-day-specific beam alignment and wireless connectivity relationships. The processor dynamically adjusts the beam configuration based on real-time environmental conditions and UE demands in the surrounding area of the first edge device.

The application discloses a kind of electric vehicle charging station intelligent site selection and sizing method, solve the technical problem that existing electric vehicle site selection and sizing are not intelligent, the application belongs to electric vehicle charging station intelligent planning technical field, specific technical scheme is: first, the multi-objective multi-constrained charging station site selection and sizing model of minimum charging station construction cost, operation and maintenance cost, service user charging cost, queuing time cost and user driving process power consumption cost is established, then using BP neural network, with site selection land rent as evaluation index, the research area is selected, secondly, the preselected address is sized using ant colony algorithm, the best site selection of electric vehicle charging station and its optimal sizing are obtained, finally, the effectiveness of BP neural network for preselecting the research area is verified using site selection and sizing examples, the feasibility of optimal site selection and sizing is adopted using ant colony algorithm, the site selection and sizing are pre-judged, with the characteristics of accurate prediction, site selection speed is fast.

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

To facilitate appropriate matching for both service users and service providers. [Solution] The matching device matches service providers and service users of mobile services whose service location moves. The matching device comprises one or more storage devices that store a demand map of mobile services, and one or more processors. The one or more processors receive service capacity information of multiple service providers, which is information determined by the multiple service providers referring to the demand map, from each of the multiple provider terminals operated by the multiple service providers. Based on the mobile service usage request information from the first service user and the service capacity information of the multiple service providers, the processor performs a matching process to select a first service provider to assign to the first service user, and updates the demand map based on the result of the matching process.

Described are techniques for identifying a design of an infrastructure on an industrial floor to service a user. A knowledge corpus of information to be used as a sample data set for training a machine learning model is generated, which includes information, such as mobility patterns of users on the industrial floor for various manufacturing process flows, and interaction of users on the industrial floor with different services at different locations on the industrial floor for various manufacturing process flows. A machine learning model is then trained to identify the designs of the infrastructure on the industrial floor based on the knowledge corpus. Upon receiving the requirements of a service level agreement and the current manufacturing process flow, the trained machine learning model is used to identify a particular design of the infrastructure of cloud and edge computing resources on the industrial floor that optimally services the user.

Disclosed are an apparatus and method for providing a book service based on a book image. The apparatus for providing a book service based on a book image includes an acquisition unit configured to acquire a book image from a user; a determination unit configured to determine whether the user is a learning service user using a pre-designated learning service and determine whether the user has a purchase-related history associated with a target book corresponding to the book image at a pre-designated shopping mall; and a provision unit configured to provide a book service associated with the target book when it is determined that the purchase-related history exists.

To evaluate the value of a privilege properly.SOLUTION: An information processing apparatus includes: an acquisition unit which acquires a history of settlement of one or more users of an electronic settlement service; a simulation unit which simulates electronic settlement in a future predetermined period of the user, on the basis of the settlement history; and a calculation unit which applies the simulated electronic settlement to the conditions of use of a privilege provided by an affiliated store of the electronic settlement service, to calculate the value of the privilege.SELECTED DRAWING: Figure 1

An apparatus according to one embodiment acquires a performance task of a subscribed actuarial modeler from a terminal of a service user, acquires a service life of the subscribed actuarial modeler from the terminal of the service user, calculates a usage amount of the subscribed actuarial modeler according to performance work and the service life, provides information about the usage amount to the terminal of the service user, and provides the terminal of the service user with the information about the usage amount of the subscribed actuarial modeler. And requesting a terminal of the service user to subscribe a final subscription application of the actuarial modeler, and matching and storing the service user with the executed work and the service life according to a response obtained by the service user from the terminal.

A data processing device according to one embodiment of the present invention comprises: an input unit that receives, from a user who uses a service, an input relating to the situation at the time of use of the service; a calculation unit that calculates a requirement relating to provision of the service to the user on the basis of a result of the input to the input unit and information stored in a storage device that stores information indicating the relationship between the situation at the time of use of the service and the requirement relating to the provision of the service to the user; and a generation unit that generates a question prompting the user to provide an additional input relating to the situation at the time of use of the service when the requirement calculated by the calculation unit is not appropriate.