12 results about "Support group" patented technology

This invention relates to a system and method that enhances user interaction and marketing effectiveness through advanced data integration and personalized algorithms. The system and method collects detailed user data through body scanning and questionnaires, creating comprehensive profiles using machine learning. These profiles facilitate precise matching of influencers with businesses based on physical attributes, audience demographics, and content preferences. The system generates AI-driven marketing personas tailored to specific demographics and enables live shopping integration with social platforms. A novel double-blind review mechanism ensures transparent feedback between businesses and influencers. The platform supports group profiles that aggregate multiple users' data, enabling family-based shopping with privacy controls and preference weighting. The system continuously refines its algorithms using campaign performance data and engagement metrics, optimizing future matches and marketing strategies. This innovative approach significantly improves marketing ROI, user engagement, and personalization for digital social interaction and targeted marketing.

The invention relates to the technical field of internet systems, in particular to a fault monitoring and repairing method and system based on multiple agents, and the method comprises the following steps: defining multiple types of agents, configuring the agents to support group work and service calling, sensing a system state, and carrying out data collection; analyzing the collected data to identify a potential or actual fault, making a decision according to an analysis result, executing a fault repair measure determined by the decision, and notifying a related party through an information issuing mechanism; the method has the beneficial effects that through application of the intelligent agent, self-adaptive learning and potential fault prediction can be realized, a dynamically changing environment and a complex fault mode are adapted, and the reliability and the stability of the system are improved. Therefore, autonomous perception and repair of the fault are realized, the fault duration is reduced, and the monitoring operation and maintenance efficiency of the system is improved.

Example methods and systems are directed to categorizing support tickets for more efficient handling by support staff. Support staff may be divided into multiple support groups. An incoming support ticket is converted to a machine representation and provided as input to one or more trained machine learning models. Based on the output from the one or more trained machine learning models, the support ticket is routed to one of the support groups. As a result, some tickets will be directly routed to higher-level support groups instead of having all tickets first be evaluated by L1 support personnel. Accordingly, support staff resources are conserved. A model stacking technique may be used in which models of varying complexities, ranging from very simple to highly complex, are stacked in sequence one after another.

Provided is an electronic ticket providing device which, when there is support from a plurality of support groups, ensures that a user receives the support of the support groups.　An electronic ticket provision device 30 of the present invention includes: a storage unit that stores information on provision sources 3a, 3b of an electronic ticket in association with information on a distribution target person of the electronic ticket; an extraction unit that, when an electronic ticket provision request by users 2a, 2b is recognized, refers to the information on the distribution target person and extracts the provision sources 3a, 3b of which the users 2a, 2b correspond to the distribution target person; and a processing unit that performs a process for providing the electronic tickets of the provision sources 3a, 3b extracted by the extraction unit to the users 2a, 2b.

An intervention system and method for performing an intervention, for example a medical intervention, for example on a patient, at a first location, this being an intervention location. The intervention system includes at least one drivable intervention device at the first location to be used for the intervention, a first operating device provided at the first location for control of the at least one intervention device by a local group of people situated at the first location, a second operating device provided at a second location which is remote from the intervention location, for control of the at least one intervention device by a remote group of people situated at the second location, and an authorization device for authorizing the control of the at least one intervention device by the operating devices. The authorization device includes a user interface for the first location and the second location respectively, the user interface including a display unit for displaying at least the authorization state of the operating device at the respective location and an operating element that is configured at least to request the authorization for the operating device of the respective location.

Crash response assistance in the event of a physical server experiencing a hardware and / or software failure (i.e., crashing) while hosting Virtual Machine (VM) servers. Notification of a physical server hardware and / or software failure triggers acquisition of details about the failure. Based on the crash details, impacted VM servers are identified and validations are performed to determine whether impacted VM servers have recovered to a powered-on state or remain in a powered-off state. Once stakeholders / users and / or support groups associated with the physical server, impacted VM servers and / or applications executing on the impacted VM servers are identified and, service interruption notifications are communicated to the identified stakeholders / users and support groups, which identify at least one impacted VM server and at least one application executing on the identified VM server(s) and whether the VM server has returned to a powered-on state or remains in a powered-off state.

A system is provided.SOLUTION: A system, comprising: a device for collecting biometric information; a device comprising a generative model for analyzing the biometric information and determining an emotional state of a user; a device for providing a relaxation environment to the user based on the emotional state; a device for entering and analyzing an emotional diary for responding to changes in the emotional state; and a device for connecting the user to a social support group.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system, comprising: means for measuring a user's physical health indicators in real time; means for storing the measured health indicators in a database; means for analyzing the stored data to evaluate the user's health condition; means for sending a reminder notification when the user's emotional state deteriorates; means for playing relaxing music as an environment adjustment means; means for connecting the user to a social support group; and means for recording and analyzing the user's emotional diary.SELECTED DRAWING: Figure 1

To provide an electronic ticket providing device for enabling a user to surely receive support from a plurality of support organizations.SOLUTION: An electronic ticket providing device 30 according to the present invention includes a storage unit that stores information about sources 3a and 3b of electronic tickets and information about distribution targets of the electronic tickets in association with each other, an extraction unit that, when an electronic ticket providing request from users 2a and 2b is recognized, refers to the information about the distribution targets to extract the sources 2a and 2b for which the users 3a and 3b are the distribution targets, and a processing unit that performs a process of providing the electronic tickets from the sources 3a and extracted by the extraction unit to the users and. 3b 2a 2b.SELECTED DRAWING: Figure 1

An intelligent dosing platform incorporating comprehensive social media integration and patient support network capabilities for injectable medication administration. The platform includes social media interface modules configured to facilitate medication-related communications across multiple social platforms, dosage detection modules that automatically trigger social media notifications and support group communications upon medication administration events, and patient network modules that connect patients with support groups and other patients with similar medication regimens. The system features agentic social network modules utilizing personal data assistants, personal LLM agents for automated content generation and scheduling management, and personal IoT network devices for enhanced social graph updates. Privacy management modules ensure HIPAA compliance while enabling user-controlled sharing of medication milestones and treatment achievements. Support group coordination modules facilitate virtual meetings and peer communications, while notification customization modules provide personalized updates for family members and caregivers based on detected medication administration events.

Crash response assistance in the event of a physical server experiencing a hardware and / or software failure (i.e., crashing) while hosting Virtual Machine (VM) servers. Notification of a physical server hardware and / or software failure triggers acquisition of details about the failure. Based on the crash details, impacted VM servers are identified and validations are performed to determine whether impacted VM servers have recovered to a powered-on state or remain in a powered-off state. Once stakeholders / users and / or support groups associated with the physical server, impacted VM servers and / or applications executing on the impacted VM servers are identified and, service interruption notifications are communicated to the identified stakeholders / users and support groups, which identify at least one impacted VM server and at least one application executing on the identified VM server(s) and whether the VM server has returned to a powered-on state or remains in a powered-off state.