Invention Title:

Contextually Targeting Users In Metaverse Environments

Publication number:

US20250328928

Publication date:
Section:

Physics

Class:

G06Q30/0252

Inventors:

Assignee:

Applicant:

Smart overview of the Invention

A metaverse consists of multiple environments, each with unique contexts such as themes, settings, and user demographics. Users exhibit different behaviors across these environments. For instance, a user might behave competitively in a racing environment but be more focused in an educational setting. The system monitors users' avatars to create environment-specific profiles based on their behaviors. These profiles help select the most suitable environment for presenting content, enhancing the efficiency and effectiveness of content placement within the metaverse.

Content Placement Architecture

The content placement architecture comprises a metaverse system, user devices, and a content placement system. The metaverse system generates and manages a virtual world with diverse environments. User devices interact with this metaverse, enabling users to control avatars and engage with virtual settings. The content placement system uses data from these interactions to determine where to place content based on user behavior within different environments. This setup allows for targeted content delivery tailored to specific user actions and preferences.

Metaverse System

The metaverse system is responsible for creating a dynamic, interactive virtual world that mirrors real or fictional scenarios. It includes various environments like retail or educational settings, each offering distinct experiences. Users access this world through devices that support interaction via avatars, which are digital representations of themselves. These avatars navigate the metaverse, enabling users to interact with other avatars and virtual elements using input devices like keyboards or motion sensors.

Content Placement System

The content placement system is tasked with selecting environments for content presentation based on user behavior profiles generated by monitoring avatar interactions. It analyzes these profiles using machine learning models to determine the best-suited content for specific users and environments. By doing so, it ensures that the content aligns with users' interests and the context of the environment they are engaging with, thereby optimizing user experience and engagement.

Technical Implementation

The components of the content placement architecture can be implemented in software or hardware, distributed across multiple devices or combined within a single application. The system's flexibility allows it to adapt operations as needed, ensuring seamless integration and functionality across different platforms and devices. This modular approach supports scalability and customization to meet varying requirements of metaverse environments and user interactions.