244 results about "User oriented" patented technology

A method for facilitating conversational interaction with users to help the users includes transmitting a conversational interaction interface for conversationally interacting with a user to a user device, receiving a request of the user through the conversational interaction interface from the user device, identifying an information based on the request, generating an input comprising the request and the information for a machine learning model based on the request and the information, processing the input using the machine learning model, generating a response for the request based on the processing of the input, transmitting the response through the conversational interaction interface for conversationally interacting with the user to the user device, and storing the machine learning model, the request, and the response.

The invention provides a Prompt prompt template automatic construction method for an intelligent reimbursement system, and belongs to the technical field of intelligent financial management. Comprising the steps of obtaining form structure information of a current reimbursement receipt, extracting field attributes, control configurations and business rules in a main table and a sub-table, and constructing a field semantic model; collecting context information in a user filling process, and generating a context semantic model; identifying a user intention in a current form filling stage, and determining a corresponding prompt task type; matching the target template structure from a preset template library, and generating a structured natural language Prompt prompt template; and transmitting the generated Prompt prompt template as input to a large language model agent, and driving the large language model agent to generate user-oriented intelligent prompt content. By constructing the field and context bilingual model, automatic and personalized generation of the Prompt prompt template is realized, and the accuracy, adaptability and user experience of large model prompt in an intelligent reimbursement system are remarkably improved.

The invention relates to the technical field of artificial intelligence and software development, in particular to a DevOps assembly line intelligent generation system based on natural language description. According to the intelligent generation system for the DevOps assembly line based on the natural language description, an interaction layer is responsible for visually editing an interaction interface and outputting a generated executable script and a flow chart to a user; the intelligent processing layer takes Python and Go as development languages, fuses a knowledge graph technology, supports a dynamic code generation capability and realizes intelligent business process management and automatic execution; the infrastructure layer comprises three core modules, namely a metadatabase, a sandbox environment and an execution engine, and is responsible for providing basic support and resource guarantee for system operation. According to the intelligent generation system for the DevOps assembly line based on the natural language description, the configuration threshold of the DevOps assembly line is remarkably reduced, the cross-platform compatibility is ensured, the safety and reliability of the assembly line are greatly improved, and production accidents caused by manual configuration errors can be effectively avoided.

An extended Reality (XR) system is provided that enhances user interaction within XR environments. The XR system captures tracking data using one or more sensors, including hand tracking data of a user's hand and pose data of the XR system itself. By continuously capturing this data, the XR system dynamically generates a hand-located user interface that includes interactive virtual objects associated with specific locations on the surface of the user's hand. Additionally, the XR system generates labels for the interactive virtual objects that are dynamically oriented toward the user as the user moves their hands and head when interacting with an XR environment.

Methods, systems, and apparatuses include receiving input, from a user of an online system, via a chat interface. A set of facets is determined for the input using data for the user. An embedding is generated for the input. Content item embeddings are retrieved. The content item embeddings are filtered using the determined set of facets. A set of relevant content items is determined using the input embedding and the filtered content item embeddings. A response prompt is generated using the input embedding and the set of relevant content items. A response is generated by applying a generative machine learning model to the response prompt. The generated response is sent to the user via the chat interface.

The invention is applicable to the field of power demand analysis, and provides a user demand-oriented power transaction matching recommendation method and system. The method comprises the following steps of: acquiring power consumption data of a user, and generating a resonance group and a feature packet with similar power consumption modes and risk tolerance; generating a power utilization comprehensive bidding plan in combination with the resonance group characteristics and the real-time market data; performing transaction matching based on the bidding plan, preferentially selecting the power generation resource with the closest electrical distance, introducing a green energy premium coefficient, and outputting a transaction result; and performing investment portfolio optimization analysis according to a transaction result, and generating a customized power package containing traditional energy, new energy and stored energy in combination with user risk preference. Through multi-dimensional data integration and intelligent algorithm application, accurate matching of power generation resources and user demands is realized, power transaction efficiency and user satisfaction are improved, and new energy consumption and sustainable development of the power market are promoted.

A data platform monitors a compute environment by performing multi-stage heuristic analysis of event data representing a plurality of events occurring within the environment. The platform utilizes multiple event analyzers, each configured according to a distinct analysis heuristic, to evaluate different subsets of the event data and generate corresponding output signals. A higher-level event analyzer applies a further heuristic to the multiple output signals to generate a composite alert signal, indicating whether the combination of analyzed events collectively represents a security intrusion or other anomalous condition of sufficient severity to warrant alerting. Based on the composite alert signal, the platform performs an alert-based operation, such as generating a user-facing alert, initiating an automated mitigation, or updating a contextual model of system behavior. By combining the analytical outputs of heterogeneous heuristics, the disclosed architecture enhances the accuracy and contextual relevance of automated intrusion detection within complex computing environments.

Systems and methods are disclosed for driver assistance. In one example a method for an advanced driver alert system for a vehicle comprises monitoring, via a user-facing camera, facial movement of a user over time. The method includes determining a plurality of facial movement metrics based on the facial movement over an adjustable time window, transforming the plurality of facial movement metrics into a machine readable representation of the adjustable time window, and determining, via a code reading model, one or more user requests based on the machine readable representation of the facial movement metrics. The method includes executing one or more user assistance operations based on the determined user requests.

The business travel service management method based on the LLM is applied to a service system constructed based on the LLM. Services provided by the service system for users comprise a plurality of service fields; the service system manages a plurality of service models in one-to-one correspondence with a plurality of service fields; comprising the following steps: receiving a user question related to business travel service input by a user; retrieving target structured knowledge from a target sub-knowledge base related to the user questions in a plurality of sub-knowledge bases in one-to-one correspondence with the plurality of service fields, and acquiring historical context information from historical user questions input by the user; generating a cue word based on the user question, the target structured knowledge and the historical context information, and inputting the cue word to an LLM, so that the LLM generates structured intention description information based on the cue word; and analyzing the intention description information, determining a target service field corresponding to the user intention, and distributing the user question to a target service model corresponding to the target service field.

The embodiment of the invention provides a ship industry standard document intelligent processing method, which comprises the following steps: S1, document analysis: carrying out structured analysis and restoration on a ship industry standard document to generate a structured text supporting vectorization storage and semantic retrieval; s2, database construction: constructing a document vector index database based on the structured text to form a semantic retrieval task-oriented efficient data structure; and S3, content retrieval: performing user-oriented query, constructing a semantic retrieval mechanism, and completing high-precision matching from a natural language problem to a structured document content and result return. According to the embodiment of the invention, the document structure can be accurately restored, the content segmentation is more reasonable, the retrieval matching is more accurate, the retrieval result has more content depth, the technical path is clear, and the project landing is easy.

Various implementations disclosed herein include systems, methods, and apparatuses for automatically generating a customizable virtual interface embedded in a platform. For example, a specialized interface configured to provide communications between a user and the electronic device may be presented in response to a single executed action and in response to a prompt from the user executed via the specialized interface, sensor and apparatus design data associated with generating a virtual interface is obtained from external systems. The virtual interface is configured to enable actions associated with enabling the user to create a specialized structure. The process may further generate the virtual interface embedded in a platform based on the sensor and apparatus design data and may include potential configurations of the specialized structure. 3D renderings of the plurality of potential configurations of the specialized structure may be presented to the user via the virtual interface.

The invention provides a user portrait-oriented label list automatic generation method and system, and relates to the technical field of label management, and the method comprises the steps: firstly obtaining basic right attribute data and right use behavior data of a target user; secondly, determining a static right label of a target user through the basic right attribute data; then, according to the right and interest use behavior data, extracting implicit preference chains and explicit behavior characteristics of a target user in different right and interest use scenes, and further constructing dynamic right and interest tags of the target user in different right and interest use scenes through the implicit preference chains and the explicit behavior characteristics; and further, when it is detected that the right tag of the target user triggers an updating condition, automatically generating a tag list of the portrait of the target user based on the static right tag and the dynamic right tag. By adopting the scheme, the user portrait-oriented label list can be generated based on the static characteristics and the dynamic characteristics of the user rights and interests.

The invention discloses a transfer travel planning method, which is applied to a service program constructed based on LLM. Comprising the following steps: in response to a direct travel planned for a user, generating at least one guide tag in real time based on target data related to a transit travel demand of the user; the at least one guide label is used for guiding a user to carry out transfer route planning; the guide tag is a composite tag which is composed of a plurality of basic tags and can represent the transit travel demand of the user; outputting and displaying the at least one guide label to the user in an itinerary planning interface; and in response to a selection operation of a user for any target guide tag in the at least one guide tag, further inputting the target guide tag to the LLM, performing reasoning calculation by the LLM based on the target guide tag, planning a transfer travel having the same travel information as the direct travel for the user, and sending the transfer travel to the user. And outputting and displaying the planned transfer travel to a user through a travel planning interface.

The invention provides a technical supervision document retrieval method and a related device, and belongs to the field of technical supervision document retrieval. The method comprises: acquiring a user query intention; retrieving from a database according to the query intention of the user to obtain a natural language answer facing the user question; the database construction method comprises the steps of obtaining an existing technical supervision document; performing analysis and knowledge extraction on the technical supervision document to obtain a knowledge multi-tuple; after the knowledge multi-tuple is verified, time dimension attributes are added to the knowledge multi-tuple; and respectively storing the knowledge multi-tuples added with the time dimension attributes according to data types to obtain a database. According to the technical supervision document retrieval method and device, the problem of low accuracy of technical supervision document retrieval is solved.

The invention relates to the technical field of intelligent peripherals, in particular to a user-oriented interaction information expansion method, which comprises the following steps that: each keycap acquires displacement and pressure, generates an event packet, uploads the event packet through an optical wireless link, and obtains a clock and supplies power; constructing a keycap graph by a master controller, obtaining an intention vector through graph convolution and pooling, inputting the intention vector into a cyclic network to generate a pixel matrix and a phase matrix, and downlink after Bernoulli sparse coding; performing key cap side orthogonal matching pursuit decoding and four-round gradient optimization, and outputting a differential pixel set, a differential phase set and a synchronization mark; the master control refreshes the digital micromirror array and the ultrasonic phased array in a differential manner, locks a frame-level time sequence through a synchronization pulse, compensates link delay and hardware drift in real time based on Kalman filtering, and keeps an optical-acoustic alignment error to be less than 100 microseconds; degradation monitoring enables a link to be automatically switched to a pre-carved character layer and to be quickly recovered when the link is abnormal, and a keyboard interaction information expansion scheme with low delay and high consistency is provided.

The invention discloses a simulated inquiry interaction analysis method, device and equipment based on man-machine conversation, and relates to the technical field of artificial intelligence and medical treatment, and the method comprises the steps: obtaining inquiry conversation data generated by interaction between a user object and a virtual user; performing multi-dimensional interaction analysis on the inquiry dialogue data based on a preset medical knowledge graph and preset diagnosis information to generate a corresponding evaluation index and a corresponding index score; and generating and outputting an evaluation report containing the index score and the user object-oriented inquiry dialogue improvement suggestion. According to the method, the objectivity and the accuracy of an evaluation result are ensured, prejudice and inconsistency caused by subjective experience difference in manual evaluation are overcome, the evaluation result is accurate, and a user can clearly know the expression level of the user in each dimension and can also obtain a targeted inquiry optimization direction.

The invention belongs to the technical field of task scheduling of a storage system, and discloses a user-mode-oriented storage task self-adaptive scheduling method and system, and a more efficient task processing framework is realized by replacing an original kernel thread-based storage task scheduling scheme with a user-mode coroutine scheduling mechanism. The multi-level priority queues are directly managed in task scheduling, and CPU core binding configuration is carried out, so that the switching delay of a user mode / kernel mode is reduced, and the task execution controllability is improved. A dual-threshold self-adaptive scheduling strategy switching technology is introduced, and a greedy scheduler and a reinforcement learning scheduler are combined, so that the problem of adaptability of a static scheduling strategy in a dynamic load environment is relieved, performance loss caused by scheduling strategy solidification is avoided, and the self-adaptive capability and service quality guarantee of a system under a complex load are improved. Compared with an existing task scheduling method based on a kernel thread, the task scheduling method has the advantages that the overall performance and the resource utilization rate of a storage system can be remarkably improved while the task execution efficiency and the SLA requirement are guaranteed.

The invention provides a label system intelligent generation system and method for user portrait construction, and relates to the technical field of portrait label generation, and the method comprises the steps: setting a label layering rule corresponding to a dynamic behavior of a target user according to inherent attribute data; determining common behavior identifiers corresponding to a plurality of common behavior states of the target user for the state transition node of the target user behavior through a label layering rule; identifying a behavior association probability in the common behavior identifier, actively adapting to a business conflict trend in all common behavior states according to the behavior association probability, obtaining a behavior tolerance value of the common behavior states, and further determining a behavior confidence coefficient of the target user; and updating a user tag directory of the target user during actual service adjustment according to the behavior confidence, and outputting a newly-added portrait tag oriented to the user portrait. According to the invention, layered verification can be carried out on the updating process of the user portrait label, so that the accuracy of the newly added portrait label is improved.

The invention discloses a lightweight security protection method for file permission access in a localization scene, and belongs to the technical field of information security and localization system security. According to the method, the attack process is effectively delayed and automatic attacks are blocked through three aspects of technologies, including file access interception and underlying authority control, virtual Shell hiding and induction, and external command hiding and path migration. Meanwhile, a set of user-oriented file permission access and Shell obtaining and approving system is formulated, a set of file permission access management and control mechanism is formed, and safety energizing and force applying are carried out on a localized system. According to the lightweight security protection method, the limitation of a traditional method is broken through, a security policy is embedded into a file system and a command path, the lightweight security protection method is suitable for a domestic system in a specific scene, and on the premise that normal users and operation and maintenance process availability are guaranteed, attack chain execution can be effectively delayed, automatic attacks are prevented, and system security is enhanced.

The application discloses a cloud desktop throughput prediction method for cold start and mode forgetting, comprising the following steps: step 1, similarity attention federated learning assisted training; step 2, throughput prediction for safe cold start in the initial stage of a new user; step 3, fluctuation-residual feature extraction based on a TDLinear network model; step 4, model updating based on an adaptive memory module and EWC; and step 5, throughput prediction for training forgetting in the long-term use stage of a user. Through a federated learning algorithm, the existing throughput historical use knowledge of other users is utilized to assist training under the premise of guaranteeing user data privacy. Old modes are continuously reviewed based on continuous incremental prediction, and a memory module is designed to incrementally update new modes, so that the occurrence of forgetting in training is avoided, and the advantages of two stages are combined to realize the throughput prediction of a cloud desktop user in the whole life cycle.

The application is suitable for the field of power demand analysis, and provides a power transaction matching recommendation method and system method facing user demand, which comprises the following steps: obtaining user power consumption data, generating a resonance group and a characteristic package with similar power consumption modes and risk tolerance; combining the resonance group characteristics with real-time market data to generate a power consumption comprehensive bidding plan; performing transaction matching based on the bidding plan, preferentially selecting the power generation resources closest in electrical distance, introducing a green energy premium coefficient, and outputting a transaction result; performing portfolio optimization analysis according to the transaction result, and generating a customized power package containing traditional energy, new energy and energy storage in combination with user risk preferences. Through multi-dimensional data integration and intelligent algorithm application, the application realizes accurate matching of power generation resources and user demand, improves power transaction efficiency and user satisfaction, and promotes new energy consumption and sustainable development of the power market.

A context-based reminder system that determines a context-based reminder conveyed to an occupant of a vehicle includes a back-end server in wireless communication with one or more controllers that are part of the vehicle by a communication network. The back-send server receives, over the communication network, data indicative of a vehicle-oriented context and a user-oriented context from the one or more controllers of the vehicle and determines the context-based reminder based on the vehicle-oriented context and the user-oriented context. An output device of the vehicle creates a notification to the occupant indicative of the context-based reminder.

An input device is proposed comprising one or more control elements (22) with a first surface (24) facing the user and a second surface (25) opposite the first surface (24) and facing away from the user, and comprising one or more actuators (26) for moving one or more of the control elements (22) between a starting position and an end position. The input device (20) includes a receiving element (28) with a user-facing surface (29) for receiving one or more control elements (22), wherein the user-facing surface (29) of the receiving element (28) and the first surface (24) of one or more control elements (22) are arranged on the same plane in the starting position, and wherein the first surface (24) of the control element (22) is extended or lowered relative to the receiving element (28) in the end position.The input device (20) comprises a cam disk (36) which is rotatable by means of the actuator (26) and a rod (27) which is arranged with a first end on the control element (22) and with a second end opposite the first end on the cam disk (36) such that the rotational movement of the cam disk (36) can be converted into a movement of the rod (27) and wherein the control element (22) can be moved between the starting position and the end position by the movement of the rod.

This invention relates to the field of advertising technology and provides a multi-dimensional advertising effect simulation method for user experience optimization. The method includes: constructing a multi-dimensional evaluation index matrix based on the comprehensive experience utility value, wherein the multi-dimensional evaluation index matrix includes at least commercial revenue indicators, experience loss indicators, attention retention indicators, and brand safety indicators; and using a counterfactual inference method to simulate various advertising strategies in a virtual environment, aiming for Pareto optimality, and determining the strategy combination that maximizes commercial revenue while ensuring that the user experience indicators do not fall below a preset threshold. This invention constructs a multi-dimensional evaluation index matrix including commercial revenue indicators, experience loss indicators, attention retention indicators, and brand safety indicators, breaking through the limitations of traditional methods that rely solely on single commercial indicators such as click-through rate and conversion rate.

A head-mountable device renders a graphical user interface and causes user-interface changes responsive to facial expressions of a user. The device receives sensor data from user-facing sensor assemblies, including imaging of left and right eye regions, and eye-tracking data indicative of eye movement. The device derives eye-openness data for each eye from the sensor data, including measurements based on eyelid geometry. In response to a facial expression, the device causes a user-interface change that is conditional, at least in part, on the eye-tracking data and the eye-openness data. Facial expressions may include winking, blinking, and squinting. In some embodiments, the device determines an amplitude and / or duration of the facial expression and varies a magnitude or speed of the user-interface change based on the determined parameter(s), enabling text entry, selection, navigation, and manipulation of displayed objects and applications.

The invention belongs to the technical field of information, and relates to a user-oriented CSTR identification registration analysis log analysis method and system. The method comprises the following steps: generating an identification registration log, an identification analysis log and an identification analysis inspection log; and analyzing the identification registration log, the identification analysis log and the identification analysis inspection log to generate a user early warning report. According to the invention, based on the CSTR system, deep treatment and intelligent analysis are carried out on the log data generated in the registration and analysis process of the CSTR identifier, so that the refinement level and data service capability of scientific and technological resource management are remarkably improved, observability analysis of the full life cycle behavior of the CSTR identifier can be realized, and the method is suitable for popularization and application. And the user can continuously improve the resource accessibility and the service quality, so that the academic influence and the platform viscidity of the user are enhanced.

In some implementations, there is provided a method including identifying, from an electronic drawing, at least one object and at least one object location in at least one user intention for a user interface that is responsive across a plurality of screen sizes, wherein the at least one object and the at least one object location are identified using a machine learning model; creating responsive rules for the at least one object and at least one object location detected in the at last one user intention; and rendering, based on the responsive rules, the user interface, such that the responsive rules configure content layout in the user interface in response to a screen size displaying the user interface. Related systems, methods, and articles of manufacture are also disclosed.

A data system authorizes a user application to use a data communication slice. The data system determines a user application indicator for the user application. The data system exchanges user application data for the user application between a user device and the data communication slice based on the application indicator in the user application data. The data communication slice processes the user application data.

The application relates to a user-oriented intelligent customer service method and device, equipment and medium in the e-commerce technical field, the method comprising: in response to a user enabling an intelligent customer service event, obtaining personal information and historical behavior data of the user, and determining a corresponding user portrait; in response to a user asking event, obtaining an asking text input by the user, determining a standard asking text matched with the asking text in a preset question and answer knowledge base, and obtaining a standard reply text of the standard asking text; applying a preset instruction template, generating a corresponding constraint instruction according to the user portrait and the standard reply text, the constraint instruction indicating that the standard reply text is re-expressed according to the user portrait to match the character style of the user; and inputting the constraint instruction into a preset personification question and answer model to generate a user-oriented reply. The application can match the character style of the user to reply, and realizes more real and personified customer service.

This invention relates to the field of network security technology and discloses a network security situation prediction method and system based on artificial intelligence, comprising the following steps: embedding controllable Trojan data into user-facing software by uploading network data; collecting hardware information data of the software and software status data of the user-facing software based on a data acquisition module; extracting feature vectors from the hardware information data and software status data; and then having a third party evaluate the security coefficient of the controllable Trojan data. This invention, by proactively embedding a controllable, fingerprint-hidden authorized Trojan in a real software environment for attack and defense drills, overturns the passive mode of traditional security detection that relies on historical attack characteristics or static rule bases. This enables proactive perception and discovery of attack clues for unknown threats and advanced persistent threats, greatly improving the system's predictability of potential risks.