20 results about "User involvement" patented technology

The invention discloses a method, a system, equipment and a medium for sharing a user participating in an auxiliary service based on dynamic analysis, and relates to the technical field of electric power auxiliary services, and the method comprises the steps: building a user participating in auxiliary service benefit degree quantification model, and quantifying the benefit degree of each user obtained by participating in the auxiliary service; determining a corresponding cost sharing proportion based on the total benefit degree of the user, and calculating the sharing amount of each user in combination with the supply cost, the operation cost and the risk cost of the auxiliary service; setting a stepped excitation coefficient and an influence factor according to the sharing amount, the participation frequency and the response quality of each user, and calculating the final excitation amount of the user; and establishing a dynamic adjustment and constraint model for mechanism operation, and periodically adjusting each parameter and factor. According to the method, the user benefit degree is taken as the calculation basis of cost sharing, and the participation behavior quality is brought into incentive adjustment, so that the fairness of auxiliary service cost distribution is improved, and the participation enthusiasm of the user and the operation flexibility are enhanced.

In games where each stage contains multiple quests, the goal is to facilitate user engagement by making it easier to progress to the next stage. [Solution] An information processing device is provided, comprising: an execution unit that executes a game which includes at least a first stage and a second stage, the order of play being determined to be the first stage followed by the second stage, and one or more quests associated with each of the first and second stages; and a reception unit that accepts the selection of a quest to play using a deck composed of multiple objects owned by the user, and when the user clears one or more quests from among the multiple quests associated with the first stage, accepts the selection of a quest to play from among the one or more quests associated with the second stage.

A service installed on a user's device identifies a user that has logged into an account associated with an organization that has provided the service for installment. When the service determines that the user has successfully authenticated with an identity provider used by the organization, the service determines information about the session with the identity provider that was created to strongly authenticate the user. The service sends an authentication request to the identity provider as part of the same session with the identity provider that was created when the user was strongly authenticated. The authentication request generated by the service includes a parameter value for configuring authentication without user involvement, such as a parameter value for configuring passive or no prompt authentication. The user thus can be strongly authenticated to the service.

A system and method for privacy-enhanced social networking may include dynamically managing user privacy and identity through multiple user profile aliases by defining each alias with a specific subset of user information and context parameters, such as location, proximity to other users, or participation in events. The system may dynamically select and display the appropriate alias based on the user's current context, thereby ensuring context-sensitive visibility of user information. Features include geofencing, proximity-based networking, and event participation tracking, supported by advanced system architectures such as graph databases and machine learning models. Additional functionalities include privacy-enhanced messaging with facial recognition for recipient verification, anonymous gifting, and automated will execution. A map interface and real-time adaptability further enhance user engagement and privacy management, fostering secure, meaningful interactions while maintaining robust privacy controls for applications in professional networking, community events, and confidential communications.

A non-disruptive cancellation of a migration-based virtual machine (VM) upgrade uses a network swap workflow and may be performed without user involvement (e.g., without providing login credentials). A source machine and a target machine swap machine identities such that, for example, the target machine takes on the internet protocol (IP) address of the source machine and the source machine takes on the original IP address of the target machine. Upon a cancellation of the upgrade, the source machine and the target machine revert to their original machine identities, for example, by swapping machine identities again. In this manner, the target machine assumes the role of the source machine for the user if the upgrade is not canceled, and the source machine rapidly resumes its role for the user if there is a cancellation. Advantageously, fewer computing resources are required for this cancellation.

A system and method for privacy-enhanced social networking may include dynamically managing user privacy and identity through multiple user profile aliases by defining each alias with a specific subset of user information and context parameters, such as location, proximity to other users, or participation in events. The system may dynamically select and display the appropriate alias based on the user's current context, thereby ensuring context-sensitive visibility of user information. Features include geofencing, proximity-based networking, and event participation tracking, supported by advanced system architectures such as graph databases and machine learning models. Additional functionalities include privacy-enhanced messaging with facial recognition for recipient verification, anonymous gifting, and automated will execution. A map interface and real-time adaptability further enhance user engagement and privacy management, fostering secure, meaningful interactions while maintaining robust privacy controls for applications in professional networking, community events, and confidential communications.

Partner-based item recommendations are described. A computing system receives historical data associated with user engagement and transactions for a set of items. The computing system selects a set of candidate items from the set of items based on a set of categories associated with the set of items, a set of popularity metrics associated with the set of items, and a set of similarity metrics associated with the set of candidate items and the set of items. The computing system generates, for each candidate item, a respective user preference score based on the historical data and using a neural network including an attention mechanism and a weighted loss function. The computing system orders the set of candidate items according to the user preference scores and a category distribution for the set of items. The computing system outputs at least one candidate item based on the ordered set of candidate items.

The present disclosure relates to systems and methods for improved searching. In some implementations, the approaches herein can be used to rank search results to provide more relevant results to users, for example by monitoring the interactions of one or more users with pages or other items. In some implementations, the approaches herein can be used to refine and improve the performance of a search result ranking model over time.

Methods, systems, and apparatus are described herein for enhanced conferencing. A computing device monitor user participation. One or more conference features may be activated or deactivated based on speech patterns of conference participants.

The present application relates to electric vehicle charging scheduling technical field, specifically, it is a kind of electric vehicle charging optimization method based on user willingness drive, the problem solved by the present application: how to establish accurate user willingness prediction model, realize the problem of differentiating subsidy strategy, to solve the above problems, the present application provides a kind of charging optimization method, comprising: generating agent individual according to multi-agent model, and establishing the complete behavior characteristics of agent individual;User willingness discrimination is carried out based on scene parameter and psychological threshold, and a reference quantitative model for user participation decision is established;According to user individual characteristics, implement subsidy allocation, establish the basic allocation rule of differentiating subsidy;According to external environmental parameters, the schedulable space of target area is predicted.

A dynamic machine learning model based user interface technology for increased user engagement obtains first data that includes the number of impressions and the number of clicks during a predetermined period with respect to a page display of each of a plurality of interface objects, obtains second data that includes a history regarding interface objects displayed on page displays clicked during the predetermined period, calculates a CTR (Click Through Rate) based on a first machine learning model trained in advance using said first data, a CVR (Conversion Rate) based on a second machine learning model trained in advance using said second data, and a quality score based on a third machine learning model, the quality score representing a balance between CVR (Conversion Rate) and CTR (Click Through Rate) for each of the plurality of interface objects during the predetermined period by using the first data and the second data, and selects a predetermined number of interface objects to be displayed from the plurality of interface objects based on the quality score.

An electronic device and corresponding methods manage notifications by creating a precis of a received notification, presenting the precis via a user interface, and detecting user interest through sensors. If user interest exceeds a threshold, the full notification is presented. The system can optionally determine the duration required for the notification presentation and announces the duration. The precis can be generated using artificial intelligence and may be presented only when the device is in a vehicle. The system dynamically adjusts the notification presentation based on user engagement, enhancing safety and user experience by minimizing distractions, particularly while driving.

The invention discloses a holographic precise recognition and search network platform based on a crowd parameter mode, which comprises a function engine, the function engine comprises a user side and a platform side, the user side comprises a recognition module, and the platform side comprises a network information storage library; the recognition module comprises a picture recognition system and a sound recognition system; the hologram of the article is formed in a network information storage library; and the function engine searches and can automatically identify one or a plurality of article pictures which are most matched according to the information identified by the identification module, and is linked with the holograms of the articles associated with the pictures. According to the method, a holographic network information storage library with shapes, voices, texts and the like of objects can be constructed in a user participation mode, namely a mode based on the crowd parameters and a mode based on the crowd parameters, so that people can accurately obtain all-dimensional information of the objects through one aspect of the shapes, the voices and the texts, the information obtaining cost can be greatly reduced, and the user experience is improved. And the work and life of people are facilitated.

The embodiment of the invention relates to the technical field of vehicle interaction, and discloses a vehicle interaction control method and device and a vehicle. Receiving an interaction text generated based on the role information; and analyzing the interaction text to obtain a plurality of vehicle state control instructions, and controlling vehicle parts to execute response actions according to the vehicle state control instructions. By applying the technical scheme of the invention, the participation and interactivity of the user can be enhanced, and the deep entertainment requirement under multiple scenes can be met.

The application discloses an implementation method and device for communication between a USB device and a mac platform application, and relates to the field of information security. The implementation method comprises a stripping process and a communication process. In the stripping process, the USB device is stripped from a kernel state to a user state. In the communication process, the Libusb interface library is used to realize instruction communication of a normal SCSI protocol between the USB device and the mac platform application. The whole process does not require user participation, and is convenient to use and friendly to user experience.

The invention relates to the technical field of electric vehicle charging scheduling, in particular to an electric vehicle charging optimization method driven based on user intention, and aims to solve the problem of how to establish an accurate user intention prediction model and realize a differential subsidy strategy. The invention provides a charging optimization method. The charging optimization method comprises the following steps: generating agent individuals according to a multi-agent model, and establishing complete behavior characteristics of the agent individuals; performing user participation willingness discrimination based on the scene parameters and psychological thresholds, and establishing a reference quantification model of a user participation decision; implementing subsidy distribution according to the individual characteristics of the user, and establishing a basic distribution rule of differential subsidy; and predicting the schedulable space of the target area according to the external environment parameters.

Systems and methods for generating user notifications to a set of users of a social networking service is presented. For each user of a set of users of the social networking service, one or more machine learning models selects an optimal notification channel, an optimal notification template, and optimal personalization content for configurable elements of a selected notification template. Each of these determinations / selections is made according to and based on a likelihood of increased user engagement with the social networking service. Upon determining the notification channel, notification template, and personalizations to the template, the notification is generated and sent to the corresponding user.

The present disclosure relates to systems and methods for improved searching. In some implementations, the approaches herein can be used to rank search results to provide more relevant results to users, for example by monitoring the interactions of one or more users with pages or other items. In some implementations, the approaches herein can be used to refine and improve the performance of a search result ranking model over time.

A computer-implemented system and method transform text within documents using a generative process that enables automated application of action definitions across multiple document elements while maintaining user control. For each element in a document, the system identifies an action definition and applies it to generate output by providing prompts to a large language model. The system manifests generated outputs to users for review and, upon approval, revises corresponding elements based on approved outputs. This enables efficient processing of multiple document elements while preserving precise user control over content updates. The system supports various levels of user involvement, from fully automated processing to interactive refinement, allowing users to review outputs before document updates while maintaining coherence and quality. The implementation integrates sophisticated text transformations seamlessly into document creation workflows through systematic identification and application of action definitions, combining the efficiency of automated generation with manual oversight control.