18175627. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT simplified abstract (KABUSHIKI KAISHA TOSHIBA)
Contents
- 1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT - 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, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT
Organization Name
Inventor(s)
Kouta Nakata of Shinagawa Tokyo (JP)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18175627 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT
Simplified Explanation
The patent application describes an information processing apparatus that utilizes matrix factorization to analyze purchasing data and calculate hidden status information related to users and products.
- The hardware processors acquire purchasing data, including user identification information, product identification information, and performance information such as price and number of purchases.
- Matrix factorization is performed on a purchase matrix with non-negative values based on performance information to calculate user hidden status information and product hidden status information.
- The output of the user hidden status information and product hidden status information is controlled by the apparatus.
Potential Applications
The technology described in this patent application could be applied in various industries such as e-commerce, personalized marketing, and recommendation systems.
Problems Solved
This technology helps in understanding user behavior and preferences, enabling businesses to tailor their offerings and marketing strategies accordingly.
Benefits
The benefits of this technology include improved customer satisfaction, increased sales, and more targeted marketing efforts.
Potential Commercial Applications
One potential commercial application of this technology could be in online retail platforms to provide personalized product recommendations to users based on their purchasing behavior.
Possible Prior Art
One possible prior art for this technology could be collaborative filtering techniques used in recommendation systems.
Potential privacy concerns related to collecting and analyzing user data for this technology include the risk of data breaches, unauthorized access to sensitive information, and potential misuse of personal data for targeted advertising.
How can businesses ensure the security and confidentiality of user data while implementing this technology?
Businesses can ensure the security and confidentiality of user data by implementing robust data encryption measures, restricting access to sensitive information, obtaining user consent for data collection and analysis, and regularly updating security protocols to protect against cyber threats.
Original Abstract Submitted
An information processing apparatus includes one or more hardware processors configured to: acquire a plurality of pieces of purchasing data including any of a plurality of pieces of user identification information, any of a plurality of pieces of product identification information, and performance information including at least one of a price and a number of purchases; perform matrix factorization of a purchase matrix with non-negative values calculated based on the performance information as element values, and calculate user hidden status information indicating a relation between the plurality of pieces of user identification information and hidden statuses related to purchasing, and product hidden status information indicating a relation between the hidden statuses and the plurality of pieces of product identification information; and control output of at least one of the user hidden status information and the product hidden status information.
