US Patent Application 18112133. LEARNING METHOD OF VALUE CALCULATION MODEL AND SELECTION PROBABILITY ESTIMATION METHOD simplified abstract
LEARNING METHOD OF VALUE CALCULATION MODEL AND SELECTION PROBABILITY ESTIMATION METHOD
Organization Name
Inventor(s)
Tatsuya Mitomi of Yokohama (JP)
LEARNING METHOD OF VALUE CALCULATION MODEL AND SELECTION PROBABILITY ESTIMATION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18112133 titled 'LEARNING METHOD OF VALUE CALCULATION MODEL AND SELECTION PROBABILITY ESTIMATION METHOD
Simplified Explanation
The patent application describes a learning method for calculating the value of an option based on its attribute value.
- The method involves acquiring input data that includes selection probabilities and attribute values of multiple options.
- The input data helps establish the relationship between selection probabilities and attribute values.
- The method further involves adjusting the value calculation model based on the relationships between attribute values and selection probabilities.
- The goal is to make the calculated values and selection probabilities closely aligned.
- This learning method can be used to improve the accuracy of value calculations for options.
Original Abstract Submitted
A learning method of a value calculation model for calculating a value of an option used when a person acts from an attribute value of the option, includes acquiring input data in which a selection probability indicating a rate at which each option is selected from a plurality of options and attribute values of the plurality of options when the selection probability is obtained are associated with each other, and acquiring, for each combination of two options that can be extracted from the plurality of options, a relationship between selection probabilities of the two options included in each combination from the input data, and adjusting the value calculation model so that a relationship between values calculated when attribute values of the two options included in each combination are input to the value calculation model and a relationship between the selection probabilities corresponding to each combination are close to each other.
