34 results about "Interaction time" patented technology

The application discloses a multimodal interaction method, device, controller, system, automobile and storage medium. The method comprises the following steps: determining a current interaction dialogue according to a current interaction voice at an interaction time; determining a current scene image and current scene data corresponding to a current interaction interface corresponding to the interaction time; adopting a multimodal recognition model to perform multimodal recognition on the current interaction dialogue, the current scene image and the current scene data, and determining a target control instruction; and executing the target control instruction to complete a human-computer interaction operation. The method can guarantee the output efficiency and accuracy of the target control instruction, reduce the complexity of customizing templates, rules and associations and other complex control logics in the development process, and improve the adaptability and generalization ability of voice interaction.

The invention discloses an electromagnetic emission test method of an intelligent household electrical appliance, which simulates a dynamic interaction process by controlling multiple modules to run simultaneously according to a preset logic, and comprises the following steps: acquiring electromagnetic signals in real time and performing frequency domain conversion to obtain frequency spectrum distribution; identifying a target frequency band which generates energy convergence due to non-linear superposition and peak intensity of the target frequency band; obtaining a superposition waveform sequence and classifying a nonlinear superposition mode; identifying an abnormal interference mode by combining the peak intensity and a mode classification result; associating the abnormal frequency band with the module operation log, and analyzing an interaction time sequence and logic to determine a cause; a filtering or regulation strategy is applied based on the cause, whether the peak value is reduced is verified and a report is generated. According to the invention, through energy convergence frequency band identification, non-linear superposition mode classification, interference cause tracing, directional regulation and closed-loop verification, accurate diagnosis and root positioning of hidden transient interference are realized, so that the test depth is improved, the rectification efficiency is optimized, and the predictability of product electromagnetic compatibility design is enhanced.

The invention discloses an information interaction optimization method and electronic equipment, and relates to the technical field of information interaction.The information interaction optimization method comprises the steps that when the first interaction duration of a substrate management controller is larger than or equal to a first interaction duration threshold value, the number of first interaction retry times is counted; when the number of times of first interaction retry is larger than or equal to a first retry number threshold value and the first interaction retry time average length corresponding to each retry is larger than or equal to a first interaction time length threshold value, the first interaction time length threshold value and the first retry number threshold value are adjusted, and a second interaction time length threshold value and a second interaction retry number threshold value are obtained; when the current interaction duration is greater than or equal to a second interaction duration threshold value, if the current interaction retry number is greater than or equal to a second interaction retry number threshold value, determining that interaction is abnormal; and triggering the substrate management controller and the target external equipment to execute an exception recovery mechanism. By shortening the waiting time and reducing the number of retry times, waste of resources is avoided, and the interaction efficiency is improved.

Aspects of the present disclosure are directed to systems and methods of dynamically generating individualized or personalized times for providing messages over networked environments. The computing system may obtain, for a user device, an event dataset identifying a plurality of interaction times corresponding to a plurality of interactions over an instant time window by a user with an application on the user device to address a condition of the user. The computing system may apply the event dataset to a machine learning (ML) model. The computing system may generate based on applying the event dataset to the ML model, a defined time at which a message is to be provided to the user device during a subsequent time window. The computing system may provide for presentation on the user device to address the condition of the user, the message in accordance with the defined time.

The invention provides an interface loading method and device, equipment and a storage medium, and the interface loading method comprises the steps: responding to an interface loading request, and obtaining an initial display interface corresponding to the interface loading request and a visual link element in the initial display interface; determining a first loading priority of the visual link element according to the element position information and the interaction time information of the visual link element; updating the first loading priority of the visual link element according to the target prediction model and the historical interaction data to obtain a target loading priority; and preloading the initial display interface according to the target loading priority of the visual link element to obtain a target display interface. The loading priority of the link elements is dynamically determined, and the high-priority link elements needing to be preloaded are dynamically loaded according to the network state data and the loading priority, so that the preloading bandwidth consumption is reduced, the jump delay and the preloading hit rate are improved, and the webpage browsing experience of a user is optimized.

Some embodiments described in this disclosure are directed to user interfaces for controlling the display of an additional representation of content surrounding an insertion marker while maintaining the ability to control the insertion marker using, for example, a content editing application. Enhancing these interactions improves the user's experience with the device and decreases user interaction time, which is particularly important where input devices are battery-operated.

The invention discloses an intelligent commodity recommendation method and system. According to the method, browsing behaviors of a user on a home page of an applet are monitored in real time, and when user browsing or interaction time exceeds a set threshold value and no commodity is additionally purchased, a commodity recommendation mechanism is triggered. The recommendation logic selects the commodities based on the preset dimension, and it is ensured that the recommended commodities conform to user preferences and have actual purchaseability. After the user clicks the recommended commodity, the user directly enters the order confirmation page, the purchase process is simplified, the purchase conversion rate is improved, and the method effectively improves the order transaction rate, optimizes the user experience, and promotes the sales of the commodity through the precise monitoring of the user behavior, the optimization of the recommendation logic and the simplification of the purchase process.

The application relates to a method, device, computer equipment, storage medium and computer program product. The method comprises the following steps: acquiring information of a hierarchical screening object, and outputting and displaying the information of the hierarchical screening object. In response to a trigger operation, a target screening object is determined in the hierarchical screening object, and a screening state of the target screening object is converted; if the screening state of the target screening object after conversion triggers a forward processing operation, information of a next hierarchical screening object corresponding to the target screening object is acquired according to the forward processing operation. The method improves information screening efficiency and shortens interaction time.

The application provides a communication interaction method based on a contact head portrait and related equipment. A communication client outputs a contact display page of a first communication user, wherein the contact display page presents a contact head portrait with a first display effect, so that the first communication user can determine the time length from the last interaction time of the second communication user corresponding to the contact head portrait to the current time by viewing the first display effect presented by the contact head portrait. The application not only enriches the display mode and interest of the contact head portrait, attracts the first communication user to pay attention to the second communication user who has not interacted for a long time, but also presents the contact head portrait with a second display effect by operating the contact head portrait, and triggers the communication client of the second communication user to output an interaction message matched with the operation, without the need for the user to manually input the interaction message, thereby improving the communication interaction convenience and enriching the interaction mode.

The invention provides an interactive animation generation method and apparatus, and an electronic device. The method comprises the steps of determining interactive elements and interactive situation information based on interactive intention description information; inputting the interaction elements and the interaction situation information into a large language model, and outputting an action sequence comprising a plurality of interaction sub-actions; generating an interaction posture sequence and time sequence information based on the action sequence; wherein the interaction posture sequence and the time sequence information are respectively used for indicating a relative posture and interaction time when the interaction subject interacts with the interaction object; generating animation skeleton information based on the interaction posture sequence and the time sequence information; and adding a preset animation effect to the animation skeleton information, and generating an interaction animation for interaction between the interaction subject and the interaction object. According to the method, the interaction intention is understood through the large language model, the action sequence matched with the interaction situation is generated, and the interaction animation is generated through the action sequence, so that the animation production cost is reduced, the animation production efficiency is improved, and the finally generated interaction animation is more real.

The invention relates to the technical field of data processing, in particular to a voice control method for a robot, and the method comprises the steps: extracting an interaction process from an interaction database, carrying out the multi-source analysis of a control instruction, recognizing the instruction fuzzy data in the control instruction, calculating an instruction fuzzy representation value, and dividing the instruction execution tendency of the control instruction. Determining an instruction execution mode, in response to a division result of weak instruction execution tendency, calculating a hidden execution characterization parameter by determining an environment influence characteristic value and a target influence characteristic value and combining the instruction fuzzy characterization value, determining the hidden tendency and the instruction execution mode of the control instruction, obtaining an execution result, and performing data comparison verification. And the execution effective value of the control instruction is calculated to determine the validity of the instruction execution mode, and the interaction step is updated to optimize the robot interaction model. By optimizing the voice interaction model, the number of man-machine interaction times is reduced, the task completion time is shortened, and the execution efficiency is improved.

Systems, methods, and computer program products are provided herein for dynamic access permissions to secure data resources in a distributed network. An example method includes identifying an application from amongst a plurality of applications with which the system interacts and determining one or more access permissions associated with secure interactions between the system and the identified application. The method further includes determining an absence of a least a first access permission from amongst the one or more access permissions with respect to the system and modifying a database of the system to register the at least first access permission. The one or more access permissions associated with the secure interactions between the system and the identified application define an interaction time period during which at least a first portion of the one or more access permissions were used.

This application provides a method, apparatus, computer device, and storage medium for controlling a virtual interactive character. The method includes: acquiring input interaction data from a target interactive object and parsing it to obtain corresponding object preference information, interaction relationship information, and interaction time information; querying at least one target historical memory data matching the input interaction data from an interaction memory bank according to the matching dimensions of the object preference information, interaction relationship information, and interaction time information; generating target prompt information based on the input interaction data and at least one target historical memory data, inputting the target prompt information into a large language model, and outputting interaction feedback information and corresponding behavioral intention interaction information; generating a corresponding voice interaction signal based on the interaction feedback information, and generating a motion control signal for a preset virtual interactive character based on the behavioral intention interaction information, and driving the virtual interactive character based on the voice interaction signal and the motion control signal.

The invention provides an animation adaptation method, electronic equipment and a program product, and the method comprises the steps: carrying out the weighting of a basic score corresponding to each interaction type according to the interaction frequency of each interaction type and the interval between the current time and the last interaction time when a user interacts with an animation element, obtaining a first score of each interaction type, and adding the first scores of all the interaction types performed by the animation elements to obtain a user interaction historical score; obtaining a current viewport size and determining a viewport size score; obtaining loading time and resource sizes of the animation elements and related resources thereof, and determining a network speed score; and calculating values of adaptive parameters according to all the scores, a preset user interaction historical weight, a viewport size weight and a network speed weight, and adjusting animation parameters according to the values of the adaptive parameters. By means of the technical scheme, the adaptability and the overall performance of the webpage animation can be enhanced, and smoother and more personalized animation experience is further provided.

Embodiments of the present application provide a page information processing method, device and equipment and a storage medium. In the embodiments of the present application, an interactive loader is added in page data, and by means of the access behavior monitoring capability and the interactive code loading capability of the interactive loader, in combination with the trigger time configured in advance and the interactive information corresponding to the page, the trigger time can be flexibly configured for the page, and the interactive information can be flexibly displayed according to the trigger time configured in advance in the page access process to realize interactive intervention, so that the page interaction is no longer limited to the fixed interactive mode triggered at a fixed time on a specific page, the flexibility of the page interaction time and the richness of the interactive content are improved, the stickiness of the user to the application to which the page belongs is increased, and the purpose of fine operation on the user is further achieved.

The application discloses a multi-modal large model-based iterative problem solving framework construction method and system, and relates to the technical field of data processing. The method comprises the following steps: outputting a first question, obtaining first interaction content of user interaction with the first question, performing identification, and obtaining a first interaction score; outputting a second question, obtaining second interaction content of user interaction with the second question, performing identification, obtaining a second interaction score, and obtaining a progressive interaction time; performing correlation verification identification on the first interaction content and the second interaction content, obtaining a first verification degree, and analyzing the interaction time to obtain a second verification degree; calculating a fusion verification degree according to the first verification degree and the second verification degree, correcting the first interaction score and the second interaction score to obtain a fusion interaction score, performing solving framework optimization to obtain an optimal solving framework, and performing solving teaching on the user. The application effectively improves the scalability and individualization degree of teaching.

The invention discloses an information transmission method and device, a storage medium and a program product, relates to the technical field of communication, and aims to reduce interaction time delay between a terminal and a core network element. The method comprises: receiving first information sent by a network element of a core network, the first information comprising first terminal identification information; a downlink signaling; and downlink data packet information. According to the embodiment of the invention, the interaction time delay between the terminal and the network element of the core network can be reduced.

In some implementations, a system may receive interaction data indicating an interaction time and amount. The system may categorize the interaction in a category of a plurality of categories. For each category, the system may compare a total category amount with an average category amount. The system may determine, for each category, a proportion of the total category amount relative to a total account amount. The system may transmit, to a user device, user interface data associated with a ring-shaped user interface element that includes a plurality of segments corresponding to the plurality of categories. The user interface data indicates a width of a particular segment that is based on the comparison of the total category amount for a corresponding category with the average category amount, and an arc length that is based on the proportion of the total category amount for the corresponding category to the total account amount.

Aspects of the present disclosure are directed to systems and methods of dynamically generating individualized or personalized times for providing messages over networked environments. The computing system may obtain, for a user device, an event dataset identifying a plurality of interaction times corresponding to a plurality of interactions over an instant time window by a user with an application on the user device to address a condition of the user. The computing system may apply the event dataset to a machine learning (ML) model. The computing system may generate based on applying the event dataset to the ML model, a defined time at which a message is to be provided to the user device during a subsequent time window The computing system may provide for presentation on the user device to address the condition of the user, the message in accordance with the defined time.

The invention provides an intelligent catering interaction method integrating environmental perception and user behavior analysis, and relates to the technical field of intelligent catering interaction.The method comprises the steps that interaction channel selection, interaction content and interaction time sequence sub-strategies are generated by analyzing table group interaction intentions and combining noise, service loads and equipment states, and the table group interaction intentions are analyzed; and interactive operation is executed in channels such as voice, a terminal interface and a service robot according to the strategy. In the interaction process, dominant feedback, implicit feedback and environment state change data are synchronously collected, and a multi-source feedback sample is constructed for incremental updating of a scene recognition and intention reasoning model and regeneration of a multi-channel interaction strategy, so that service channel selection and content arrangement are adaptively optimized, and the user satisfaction and the operation efficiency are improved. The problems that in the prior art, environment perception and user behavior analysis are mutually separated, and self-adaptive interaction decision and closed-loop optimization based on the environment and user joint state are lacked are solved.

The application discloses a network flow analysis device and analysis method applied to high-performance computing, relates to the technical field of high-performance computing network flow analysis, and comprises a monitoring module: the interaction time between each adjacent two flow files is calculated according to a two-dimensional data table arrangement order, wherein the sending time of the first flow file in the adjacent two flow files is regarded as the start time, the receiving time of the second flow file is regarded as the end time, the number of flow files is n, the number of interaction times is n-1, and the average value of the total interaction time is taken; meanwhile, the transmission byte number of each flow file is monitored, and the monitored average value of the interaction time and the transmission byte number of the flow file are sent to an analysis module. The application improves the accuracy of the detection result of the data packet, speeds up the analysis time, integrates the flow data, and avoids the occurrence of the missed detection.

The invention relates to the technical field of data processing, in particular to a multimedia display control system under multiple display terminals, which comprises an instruction acquisition module, an interaction analysis module, an interaction judgment module, a period check module and a strategy generation module, the method comprises the following steps: constructing an interaction time sequence by identifying somatosensory interaction instructions, and determining interaction parameters of each somatosensory interaction instruction; detecting nodes are arranged on the terminal displaying the interaction parameters, the detecting nodes are connected one by one, and a target interaction path under user interaction is generated; splitting the target interaction path, and determining an effective interaction area according to an interaction rule of continuous detection nodes; according to the position change of the effective interaction area in multiple time periods, checking the switching period of each display terminal resource under the implementation of the somatosensory interaction instruction; determining an association target of each display terminal according to the updating sequence of each display terminal in the switching period, and determining a display control strategy according to the association target; the response timeliness and the interaction accuracy of the display terminal are realized.

The invention relates to a controller for a quantum system that identifies a phase update trigger and an interaction time for a quantum object of the quantum system. In response to identifying the phase update trigger, the controller determines, between a first time and the interaction time, (a) a position / transmission effect on a phase of the quantum object based on a position of the quantum object and a transmission operation performed thereon, and (b) a quantum operation effect on the phase of the quantum object based on any quantum operations applied to the quantum object. An immediately preceding phase update of the quantum object occurs at the first time. An interaction time phase of the quantum object is determined by the controller based on the position / transmission effect, the quantum operation effect, and the interaction time. The controller adjusts an operation of a steering source such that a phase of a signal generated by the steering source corresponds to the interaction time phase at the interaction time.

The application relates to the technical field of AI interaction, in particular to an intelligent interaction system applied to AI training, which comprises a storage module used for storing model training data, a learning module used for training an AI model based on the stored model training data, an interaction module used for providing an interaction platform for users and the AI model, a recording module used for recording the interaction content and the interaction times of a plurality of users with the AI model and storing the interaction content as model training data, an auxiliary module used for periodically dividing the interactions of the users and determining the interaction times and the corresponding interaction content of the users in the corresponding period, a response module used for judging whether the training of the AI model meets the standard and judging the reason why the standard is not met based on the response activity, and a control module used for modifying the corresponding parameters. The application effectively realizes real-time monitoring and accurate adjustment of the training of the AI model according to the interaction conditions of the users, and effectively improves the training efficiency of the AI model.

The application discloses a method, device and equipment for interacting data and a computer readable medium, and relates to the technical field of big data. A specific embodiment of the method comprises the following steps: according to an account identifier in a loan signing request, querying a registration signing state in a deduction information registration table, and sending a signing message of a signing service through a signing interface based on the registration signing state to update the registration signing state; according to the updated registration signing state, updating an association state of the account identifier and the signing service in a business association table; and in response to a collection and payment signing request, interacting data for the signing service in the collection and payment signing request according to the association state of the account identifier in the business association table. The embodiment can reduce the interaction times between a customer, a bank and a provident fund center, simplify the interaction process and improve the efficiency of the interaction data.

A system determines an interaction period during which a fuel dispensing operation is performed at a fuel dispensing terminal. The system determines a measured volume per unit time parameter associated with fuel dispensed from the fuel dispensing terminal by dividing the determined volume for fuel by the interaction period. The system compares the measured volume per unit time parameter with a threshold volume per unit time parameter. In response to determining that the measured volume per unit time parameter is less than the threshold volume per unit time parameter, the system retrieves a video feed that shows the fuel dispensing terminal during the fuel dispensing operation. The system creates a file for the fuel dispensing operation. The system stores the video feed in the created file.

The invention relates to the technical field of AI interaction, in particular to an intelligent interaction system applied to AI training, which comprises a storage module used for storing model training data, a learning module used for training an AI model based on the stored model training data, and an interaction module used for providing an interaction platform for a user and the AI model, the recording module is used for recording interaction contents and interaction times of a plurality of users and the AI model and storing the interaction contents as model training data; the auxiliary module is used for periodically dividing the interaction of each user and determining the interaction times and corresponding interaction contents of each user in a corresponding period; the response module is used for judging whether training of the AI model meets the standard or not based on the response activeness and judging the reason for not meeting the standard; and the control module is used for correcting the corresponding parameters. According to the invention, real-time monitoring and accurate adjustment of training of the AI model are effectively realized according to the interaction condition of the user, and the training efficiency of the AI model is effectively improved.

The application discloses a kind of vehicle-mounted voice interaction system safety evaluation method considering interaction complexity, and belongs to the technical field of automobile man-machine engineering, specifically relates to vehicle-mounted voice interaction system safety evaluation method considering interaction complexity.The purpose of the present application is to solve the problem of high traffic collision risk and accident rate caused by the distraction of existing vehicle-mounted voice interaction system;At the same time, the technical pain points of weak practicality of evaluation results guiding design, complicated evaluation process and large amount of calculation are solved.Process:1, construct voice interaction complexity function;2, get the real label of driving risk level;3, obtain the optimal parameters of membership function, and the values of and under the optimal parameters;4, solve the interaction complexity risk threshold and;5, based on the new total number of voice interaction, total time of voice interaction, average interaction time, calculate the voice interaction complexity value;Obtain the driving risk level corresponding to the voice interaction complexity value.

In an example embodiment, a delayed qualified lead machine learning model is trained to predict, for any particular piece of interaction data, a likely delay between the interaction time and a time at which an indication of a qualified lead is provided (if one is to be provided). Thus, for example, the delayed qualified lead machine learning model may predict that, given a particular user's interaction with a particular piece of content, the user is likely to be labeled as a qualified lead within 40 days if the user will become a qualified lead at all. This prediction can then be used to exclude the interaction data from the training data for a separate machine learning model without excluding other pieces of interaction data whose predicted delays might have been shorter, helping alleviate the data scarcity issue.

Embodiments of the present application provide a game frame cycle task processing method and device and a storage medium. After a task system in a game engine receives a first task submitted by a first worker thread and a dependency relationship of the first task to at least one dependent task, the task system can determine that the first task is in a waiting state when the at least one dependent task is not executed completely. When the at least one dependent task is executed completely, the first task is added to a ready task set, and the first task is read and executed by a second worker thread. In this implementation, the worker thread can suspend the task according to the dependency relationship of the task by the task system, and determine when to reactivate the task according to the dependency relationship of the task by the task system, so that the worker thread can realize the scheduling of the task, the dependence on the main thread is reduced, the interaction times between the main thread and other worker threads are reduced, the blocking condition of the main thread is reduced, and the processing efficiency of the task is improved.