View source for 18513693. INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING PROGRAM simplified abstract (SONY GROUP CORPORATION)

=INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING PROGRAM=


==Organization Name==

[[:Category:SONY GROUP CORPORATION|SONY GROUP CORPORATION]]


[[Category:SONY GROUP CORPORATION]]

==Inventor(s)==

[[:Category:Taketo Akama of Chiba (JP)|Taketo Akama of Chiba (JP)]][[Category:Taketo Akama of Chiba (JP)]]

==INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING PROGRAM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18513693 titled 'INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING PROGRAM

==Simplified Explanation==

The information processing apparatus described in the abstract includes a unit that extracts data from content and a model generation unit that creates a model with encoders to calculate feature quantities of the content and extracted data.

* Extraction unit extracts first data from an element constituting first content.
* Model generation unit generates a learned model with a first encoder for calculating a feature quantity of the first content and a second encoder for calculating a feature quantity of the extracted first data.

== Potential Applications ==
This technology could be applied in various fields such as natural language processing, image recognition, and data analysis.

== Problems Solved ==
This technology helps in efficiently processing and analyzing large amounts of data by extracting relevant information and generating models to understand the data better.

== Benefits ==
The benefits of this technology include improved data processing capabilities, enhanced data analysis accuracy, and the ability to extract valuable insights from complex datasets.

== Potential Commercial Applications ==
Potential commercial applications of this technology include data mining software, content recommendation systems, and personalized marketing platforms.

== Possible Prior Art ==
One possible prior art for this technology could be machine learning algorithms used in data analysis and pattern recognition.

== Unanswered Questions ==

=== How does this technology handle different types of data formats? ===
The abstract does not specify how the apparatus deals with various data formats such as text, images, or numerical data.

=== What is the computational complexity of the model generation process? ===
The abstract does not provide information on the computational resources required for generating the learned model.


==Original Abstract Submitted==

An information processing apparatus  according to the present disclosure includes an extraction unit  that extracts first data from an element constituting first content, and a model generation unit  that generates a learned model that has a first encoder  that calculates a first feature quantity which is a feature quantity of first content, and a second encoder  that calculates a second feature quantity which is a feature quantity of the extracted first data.



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