US20250086870
2025-03-13
Physics
G06T13/40
The patent application describes a recommendation system designed to create virtual environments tailored to individual users based on personalized recommendations. The system leverages machine learning models to process user data, generating an extended reality (XR) representation that corresponds to these personalized recommendations. Additionally, the system creates a virtual avatar for the user, reflecting their visual characteristics within the virtual environment. This technology aims to enhance user interaction by providing a more immersive and customized experience.
This innovation pertains to database management and specifically focuses on recommendation systems for crafting virtual environments through personalized recommendations. Enterprises typically operate within environments comprising multiple devices connected via private networks, which can be on-premises or cloud-based. These networks facilitate data access and analytics, supporting various technology services like Software as a Service (SaaS) and Infrastructure as a Service (IaaS). Traditional recommendation systems often rely on historical data and rule-based models, which may not adequately address dynamic user-specific criteria or trends.
The described system improves upon existing models by utilizing machine learning to generate personalized recommendations based on diverse data sources. It can adapt to user-specific goals, such as retirement planning, by analyzing attributes like user preferences and behaviors. The limitation of traditional systems in predicting future scenarios and providing interactive experiences is addressed by creating immersive virtual environments where users can visualize their personalized plans through XR representations.
Data for generating personalized recommendations is collected from both non-XR and XR sources. Non-XR data sources include websites, applications, IoT devices, and social media channels, providing insights into user activities and preferences. XR data sources comprise systems like virtual reality (VR), augmented reality (AR), and mixed reality (MR), which allow users to engage in immersive 3D environments. These interactions provide valuable data on user behaviors and social connections within virtual spaces.
The recommendation system produces digital representations of personalized recommendations, which can be shared with others or accessed via XR systems for a more engaging experience. These representations can be visual, audio, or textual, and are adaptable based on user feedback. Feedback is derived from user interactions within the virtual environment, allowing the system to refine recommendations and enhance the user's experience over time.