Nec corporation (20240095286). INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM simplified abstract
Contents
- 1 INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM - 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
INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Masafumi Oyamada of Tokyo (JP)
INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095286 titled 'INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing apparatus that can classify data into different categories in a hierarchical structure without using a machine learning classifier.
- Data acquiring section: Acquires target data to be classified into categories.
- Classifying section: Classifies the target data based on matching degree and upper-level matching degree.
Potential Applications
This technology could be applied in various fields such as content organization, data management, and information retrieval systems.
Problems Solved
1. Eliminates the need for constructing and training machine learning classifiers. 2. Provides a more efficient and automated way to classify data into categories.
Benefits
1. Simplifies the data classification process. 2. Reduces the dependency on machine learning algorithms. 3. Improves accuracy and efficiency in categorizing data.
Potential Commercial Applications
Optimizing search engines, organizing large datasets, enhancing recommendation systems, and improving content tagging processes.
Possible Prior Art
There may be prior art related to hierarchical data classification systems or automated data categorization methods using matching degrees.
What are the potential limitations of this technology in real-world applications?
The abstract does not mention any potential limitations of the technology, so it is unclear how it may perform in real-world scenarios.
How does this technology compare to existing machine learning-based classification systems?
The abstract does not provide a comparison between this technology and existing machine learning-based classification systems, so it is unknown how they differ in terms of performance, accuracy, and efficiency.
Original Abstract Submitted
in order to automatically classify data without using a classifier constructed by machine learning, an information processing apparatus () includes: a data acquiring section () for acquiring target data, which is data to be classified into one of a plurality of categories in a hierarchical structure; and a classifying section () for classifying the target data into one of the plurality of categories in accordance with (i) a matching degree indicating a degree to which the target data matches that category and (ii) an upper-level matching degree indicating a degree to which the target data matches an upper-level category of that category.
