31 results about "User involvement" patented technology

A system and method for facilitating training of large language model based recommender systems are provided. The system may utilize one or more LLMs to create probability distributions for binary classification tasks associated with specific user-item pairs. The probabilities may be utilized to rank one or more tasks directly. The training of the one or more LLMs may involve the use of Knowledge Distillation methods and may be based on incorporating a dual-label system such as, for example, hard labels and soft labels. The one or more LLMs training data may consist of user-item pairs and their corresponding features. The labels used in the training process may include binary classification labels and their respective probabilities. The system may further implement the trained one or more LLMs to determine rankings or recommendations associated with user engagement of one or more content items.

An emerging service in the private and non-profit sectors is to electronically facilitate engagement of employees and volunteers for various causes. The instant systems and methods provide a software as a service platform that provides user engagement via machine learning and artificial intelligence.

LLMs use probabilistic methods to create coherent responses, sometimes going beyond the training data. This can result in “LLM hallucination.” Asset metadata is used in constructing prompts for the LLM, enhancing the LLM's understanding of available assets. Including a limited set of candidate assets in an LLM prompt template as part of a chain-of-thought prompt can solve the hallucination issue. Multiple rounds of interaction with the LLM may be used, allowing for more dynamic and responsive user engagement. The LLM-based recommender system for data catalogs may comprise asset metadata, user data, and a recommender model. The output of the LLM-based recommender system is a recommended asset list. The prompts may explicitly instruct the LLM to limit elements of the list to the candidate set of assets. The LLM's advanced context understanding and reasoning abilities enable it to deliver accurate and interpretable personalized recommendations.

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.

A system and method combine programmatic control and a guided and constrained Artificial Intelligence (AI) engine generate background images aligned with educational content in an online learning platform is disclosed. The integrated programmatically controlled system and guided and constrained AI engine perform operations including collecting educational content such as questions, correct answers, educational standards, and curricula associated with a user's online learning session. The collected content is analyzed to integrate relevant information and construct a detailed narrative. This narrative is then used to generate and refine text prompts via natural language processing techniques, which guide the AI engine in producing realistic background images. These images are designed to be visually appealing, contextually relevant, and to enhance user engagement and learning experience.

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.

The present disclosure relates to systems, methods, and computer-readable media for a dynamic content generation system that efficiently, accurately, and flexibly generates dynamic sets of content items based on different sets of identified information. For example, the dynamic content generation system identifies a template of content items along with different sets of user information. Additionally, for each set of user information, the dynamic content generation system generates a personalized and unique set of dynamic content items by correlating pieces of user information from the given user with parameterized variables from the template of content items.

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.

The invention discloses a method and a device for realizing communication between USB (universal serial bus) equipment and an mac (media access control) 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 equipment is stripped from a kernel mode to a user mode, in the communication process, instruction communication between the USB equipment and a normal SCSI protocol applied by the mac platform is achieved through a Libusb interface library, the whole process does not need user participation, use is convenient, and user experience is friendly.

The invention discloses a health detection method and device, electronic equipment and a storage medium, through the application, accurate evaluation of a user's exercise effect is realized by constructing a personalized health baseline and establishing a quantitative mapping relationship between exercise data and health indexes, and the user experience is improved. Meanwhile, a closed-loop adjustment mechanism of health management is formed through dynamic adjustment of game parameters and excitation feedback, so that the technical problems that in the prior art, due to the fact that quantitative mapping of game action data and health indexes is lacked, the exercise effect is difficult to evaluate, and the continuity of a health management system is insufficient can be solved; the technical effects of improving the accuracy of health state evaluation, enhancing the user participation viscosity and guaranteeing the continuity and effectiveness of the health management system are achieved.

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.

A system can execute an engagement monitor to (i) receive engagement data corresponding to user interactions by each of a plurality of individuals on an interactive user interface concerning an event, and (ii) dynamically adapt a content flow of the interactive user interface based on the engagement data from each of the plurality of individuals to induce user engagement with the interactive user interface. The system may then process contextual information provided by the plurality of individuals through interaction with the dynamic content flows to generate a set of fraud scores for loss information provided by a user in connection with the event.

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.

Conventional simulation-based optimization, even when automated, requires substantial user-involved development time. Accordingly, embodiments are disclosed to automate various aspects of simulation-based optimization. In particular, an optimization configurator and associated data structures are disclosed for generating and running optimization templates that can be easily constructed (e.g., via lists of available components), revised, evaluated, and re-run as needed. The optimization templates may comprise a plurality of optimization configurations that each define and pair an optimization algorithm with a simulator of a real-world system. Embodiments can reduce development time, are applicable to various domains, can be used by novice users without specialized knowledge, and can improve the overall quality of optimization for the operations of real-world systems, such as supply chains.

An online system performs an inference task in conjunction with the model serving system infer seasonality of items in an item catalog hosted by the online system. The online system generates and provides a prompt to a machine-learned language model to output a list of item categories predicted to be in season for a particular time period and a particular geographical location, e.g., associated with a requesting user. The language model outputs the list of item categories predicted to be in season. The online system validates the list by leveraging the language model and / or historical user engagement data. The online system maps items in the item catalog to the seasonal item categories and tags the mapped items with an in-season badge for display with the item in an ordering interface to the requesting user.

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.

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 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.