MICROSOFT TECHNOLOGY LICENSING, LLC (20240236209). SUPERPOSITION-BASED CONTENT SERVING simplified abstract
SUPERPOSITION-BASED CONTENT SERVING
Organization Name
MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor(s)
Albert Hwang of McKinney TX (US)
Jianlong Zhang of Sunnyvale CA (US)
Muhammad Hassan Khan of Dublin CA (US)
SUPERPOSITION-BASED CONTENT SERVING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240236209 titled 'SUPERPOSITION-BASED CONTENT SERVING
The disclosed technologies involve receiving a request with a user identifier and metadata for an available slot, removing the user identifier to create anonymized request data, obtaining superposition data from a machine learning model that corresponds to the anonymized request data, sending the superposition data to a real-time content-to-request matching process, receiving an identifier for a content distribution chosen based on the superposition data, and initiating the selected content distribution to the slot in response to the request.
- Request with user identifier and slot metadata received
- User identifier removed to create anonymized request data
- Superposition data obtained from a machine learning model
- Superposition data sent to real-time content-to-request matching process
- Identifier for content distribution received based on superposition data
- Selected content distribution initiated to the slot
Potential Applications
The technology can be applied in personalized content delivery systems, targeted advertising platforms, and real-time recommendation engines.
Problems Solved
This technology addresses the need for efficient and personalized content distribution based on user preferences while maintaining user privacy.
Benefits
- Improved user experience through personalized content delivery - Enhanced targeting for advertisers - Efficient utilization of resources in content distribution systems
Commercial Applications
This technology can be utilized in online streaming services, e-commerce platforms, and digital advertising networks to optimize content delivery and enhance user engagement.
Questions about the Technology
1. How does the anonymization process ensure user privacy? 2. What are the potential challenges in implementing real-time content-to-request matching processes?
Original Abstract Submitted
embodiments of the disclosed technologies receive a request including a user identifier and metadata associated with a slot available at a user system, remove the user identifier from the request to produce anonymized request data, receive, from a machine learning model, superposition data that correlates with the anonymized request data, send the superposition data for the anonymized request data to a real-time content-to-request matching process, receive, from the real-time content-to-request matching process, an identifier that identifies a content distribution selected based on the superposition data, and initiate the selected content distribution through the network to the slot in response to the request.
