Microsoft technology licensing, llc (20240193150). Comparing Ordered Sets Generated by Different Data-Processing Engines simplified abstract
Contents
- 1 Comparing Ordered Sets Generated by Different Data-Processing Engines
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Comparing Ordered Sets Generated by Different Data-Processing Engines - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Data Processing Engine Optimization
- 1.13 Original Abstract Submitted
Comparing Ordered Sets Generated by Different Data-Processing Engines
Organization Name
microsoft technology licensing, llc
Inventor(s)
Peter Joseph Rise of Bellevue WA (US)
Comparing Ordered Sets Generated by Different Data-Processing Engines - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193150 titled 'Comparing Ordered Sets Generated by Different Data-Processing Engines
Simplified Explanation
The technique described in the patent application involves updating a first data-processing engine based on reference information produced by a second data-processing engine. This is done by comparing result items from both engines and assessing their accuracy to improve the quality of the first engine.
Key Features and Innovation
- Technique updates a first data-processing engine based on reference information from a second engine.
- Involves comparing result items from both engines to assess accuracy.
- Produces accuracy information to modify the configuration of the first engine for quality improvement.
Potential Applications
This technology can be applied in various industries such as navigation systems, search engines, and data analysis tools.
Problems Solved
- Enhances the accuracy and quality of data-processing engines.
- Improves the performance of systems relying on data processing.
Benefits
- Increased accuracy in data processing.
- Enhanced quality of results generated by the engines.
- Improved overall performance of systems utilizing these engines.
Commercial Applications
Title: Enhanced Data Processing Engine Optimization This technology can be utilized in navigation systems, search engines, and data analysis tools to improve accuracy and efficiency, leading to better user experiences and increased productivity.
Prior Art
Readers can explore prior research on data processing engine optimization, route generation in map engines, and accuracy assessment techniques in data analysis.
Frequently Updated Research
Researchers are constantly developing new methods to enhance data processing engine performance and accuracy, which can have significant implications for various industries.
Questions about Data Processing Engine Optimization
How does this technique improve the accuracy of data processing engines?
This technique compares result items from two engines to assess accuracy and modify the configuration of the first engine based on the assessment, leading to improved accuracy.
What are the potential applications of this technology beyond data processing engines?
This technology can be applied in navigation systems, search engines, and data analysis tools to enhance accuracy and efficiency in various industries.
Original Abstract Submitted
a technique updates a first data-processing engine based on reference information produced by a second data-processing engine. the technique involves obtaining ordered sets of result items from both engines, where the result items produced by the second engine serve the role of the reference information. the technique then produces accuracy information by assessing the accuracy of the first-set result items relative to the second-set result items. the accuracy information is a set-wide assessment that reflects how well the first-set result items match the second-set result items, taking into account the similarity between pairs of result items and the ordering of result items in the ordered sets. the technique then modifies a configuration of the first data-processing engine based on the accuracy information to improve its quality. in some implementations, the first and second data-processing engines are first and second map engines that generate routes through a physical space.
