Kioxia corporation (20240095244). METHOD AND INFORMATION PROCESSING DEVICE simplified abstract
Contents
- 1 METHOD AND INFORMATION PROCESSING DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND INFORMATION PROCESSING DEVICE - 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
METHOD AND INFORMATION PROCESSING DEVICE
Organization Name
Inventor(s)
Daisuke Miyashita of Kawasaki (JP)
METHOD AND INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095244 titled 'METHOD AND INFORMATION PROCESSING DEVICE
Simplified Explanation
The abstract describes a method that involves receiving a query, selecting objects based on the query and a neural network model, calculating distances between the query and data associated with selected objects, and identifying data closest to the query.
- The method involves receiving a query and selecting objects based on the query and a neural network model.
- The selected objects are associated with data stored in memory.
- Distances between the query and data associated with selected objects are calculated.
- Data closest to the query is identified based on the calculated distances.
Potential Applications
This technology could be applied in various fields such as recommendation systems, information retrieval, and data analysis.
Problems Solved
This technology helps in efficiently retrieving relevant data based on a query, improving the accuracy of search results, and enhancing the user experience.
Benefits
The benefits of this technology include faster data retrieval, improved search accuracy, and enhanced decision-making capabilities.
Potential Commercial Applications
Potential commercial applications of this technology include search engines, e-commerce platforms, and personalized recommendation systems.
Possible Prior Art
One possible prior art could be the use of neural networks in information retrieval systems to improve search results accuracy.
Unanswered Questions
How does this method handle large datasets efficiently?
The method may face challenges in processing large datasets quickly and accurately. Implementing parallel processing or distributed computing could be potential solutions to this issue.
The use of personal data in recommendation systems could raise privacy concerns among users. Implementing robust data protection measures and obtaining user consent could address these concerns.
Original Abstract Submitted
according to an embodiment, a method includes receiving a query, and selecting one of first objects on the basis of the query and a neural network model. each of the first objects is associated with one or more pieces of first data in a group of first data stored on a first memory. the method further includes calculating a metric of a distance between the query and one or more pieces of second data. the one or more pieces of second data are one or more pieces of first data associated with a second object. the second object is the one of the first objects having been selected. the method further includes identifying third data on the basis of the metric of the distance. the third data is first data closest to the query in the group of the first data.
