Microsoft technology licensing, llc (20240112281). LINEAR PROGRAMMING-BASED DYNAMIC BLENDING MODEL simplified abstract
Contents
- 1 LINEAR PROGRAMMING-BASED DYNAMIC BLENDING MODEL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LINEAR PROGRAMMING-BASED DYNAMIC BLENDING MODEL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
LINEAR PROGRAMMING-BASED DYNAMIC BLENDING MODEL
Organization Name
microsoft technology licensing, llc
Inventor(s)
Keqing Liang of Cupertino CA (US)
Konstantin Salomatin of San Francisco CA (US)
Noureddine El Karoui of Berkeley CA (US)
LINEAR PROGRAMMING-BASED DYNAMIC BLENDING MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240112281 titled 'LINEAR PROGRAMMING-BASED DYNAMIC BLENDING MODEL
Simplified Explanation
The blending model presented in the patent application is based on a linear programming approach to optimize the display of sponsored and non-sponsored content in a graphical user interface. The model aims to maximize an objective function by strategically ordering and placing the content pieces.
- Explanation of the patent/innovation:
- The blending model utilizes linear programming to optimize the display of sponsored and non-sponsored content. - Content-level parameters are used to fine-tune each piece of content. - Global constraints and opportunities are holistically examined to ensure optimal placement. - The model can adapt to changes in content and domain without the need for online experiments.
Potential Applications
The technology can be applied in digital advertising platforms to optimize the display of sponsored and non-sponsored content, increasing user engagement and revenue generation.
Problems Solved
- Efficiently balancing sponsored and non-sponsored content to maximize user interaction. - Adapting to changes in content and domain without the need for constant tuning.
Benefits
- Maximizes the effectiveness of content display. - Provides a robust optimization framework for content placement. - Reduces the need for manual tuning and online experiments.
Potential Commercial Applications
Optimizing content display in online advertising platforms for increased revenue generation and user engagement.
Possible Prior Art
There may be prior art related to linear programming approaches in content optimization and display in digital advertising platforms.
Unanswered Questions
How does the blending model handle real-time changes in user behavior?
The patent application does not specifically address how the blending model adjusts to real-time user behavior changes to optimize content display.
What are the potential limitations of the linear programming approach in content optimization?
The patent application does not discuss any potential limitations or challenges that may arise from using a linear programming approach in content optimization.
Original Abstract Submitted
in an example embodiment, a blending model is presented based on a linear programming approach. the blending model produces a slate of sponsored and non-sponsored pieces of content for display in a graphical user interface, with the ordering and placement of the sponsored and non-sponsored pieces of content selected in order to maximize an objective function. such an approach can fine tune each piece of content using content-level parameters and holistically examine global constraints and opportunities. it establishes a robust optimization framework that can adapt to content and domain changes without requiring tuning through online experiments.
