JP-2026074670-A - Information processing device, information processing method, and information processing program

Abstract

[Challenge] To improve the liquidity of real estate in the market. [Solution] An information processing device comprising: a calculation unit that takes real estate information as input data and calculates the probability of closing a deal for each real estate sales price, to a closing probability estimation model that is generated by learning past real estate transaction records as training data for real estate transaction probability estimation; and a generation unit that generates display data for displaying an image showing the change in closing probability due to differences in real estate sales price. [Selection Diagram] Figure 1

Inventors

• 仙石 裕明
• 武田 直弥

Assignees

• マイクロベース株式会社

Dates

Publication Date

20260507

Application Date

20241021

Claims (11)

1. A calculation unit that takes real estate information as input data to a sales probability estimation model, which is generated by learning from past real estate transaction data as training data to estimate the probability of a transaction, calculates the probability of a transaction for each real estate sales price. A generation unit that generates display data for displaying an image showing the change in the probability of closing a deal due to the difference in real estate sales prices, Equipped with an information processing device.
2. The aforementioned contract probability estimation model is prepared separately for each different sales period, and the calculation unit calculates the contract probability for each real estate sales price for each different sales period. The information processing apparatus according to claim 1, wherein the generation unit generates display data for displaying an image showing the change in the probability of closing a deal due to differences in real estate sales prices for different sales periods.
3. The information processing device according to claim 1, which generates the transaction probability estimation model by learning whether or not a transaction was concluded for each property and for each period from when the transaction price is offered until a tenant moves in, using the transaction probability estimation model as the target variable.
4. The information processing device according to claim 1, wherein the transaction probability estimation model is generated by learning, at least for each property, the transaction price and the period from when the transaction price is offered until a person moves in, as the target variables.
5. The information processing device according to claim 3, which determines the timing of the person's occupancy using at least one of resident registration data and utility data.
6. In generating the aforementioned contract probability estimation model, The information processing device according to claim 3, which determines the timing of occupancy of the aforementioned real estate using at least one of the resident registration data and the utility data, and learns the price trends offered by real estate sales agents and the estimated closing price from the timing of occupancy.
7. The information processing device according to claim 5 or 6, wherein the lifeline data refers to data on the opening/closing or meter reading of water, electricity, or gas.
8. The information processing device according to claim 1, wherein the transaction probability estimation model is generated by learning at least one of the following as explanatory variables: the buyer's age, gender, family structure, annual income, and assets.
9. The information processing device according to claim 1, which generates the transaction probability estimation model by learning any of the following as explanatory variables: location of the property, age of the building, building structure, area, number of floors, presence or absence of road access, and presence or absence of renovations.
10. The calculation unit generates a sales probability estimation model that estimates the probability of a sale by learning from past real estate transaction data as training data. This model is then input with real estate information as input data, and the calculation step involves calculating the probability of a sale for each real estate sales price. The generation unit generates display data for displaying an image showing the change in the probability of closing a deal due to the difference in real estate sales prices, Information processing methods including
11. The calculation step involves inputting real estate information as input data into a sales probability estimation model, which is generated by learning from past real estate transaction data as training data, to calculate the probability of closing a sale for each real estate sales price. A generation step to generate display data for displaying an image showing the change in the probability of closing a deal due to the difference in real estate sales prices, An information processing program that causes a computer to execute something.

Description

This invention relates to an information processing device, an information processing method, and an information processing program. In the technical field described above, Patent Document 1 discloses a technology for determining the type of vacant house based on energy consumption measurement history information and generating a vacancy rate map for each predetermined area on a map. Japanese Patent Publication No. 2021-157634 This is a block diagram showing the configuration of the information processing device according to the first embodiment.This is a diagram showing the background of the information processing device according to the second embodiment.This figure shows an overview of the processing of the information processing device according to the second embodiment.This is a block diagram showing the functional configuration of the information processing device according to the second embodiment.This figure shows the configuration of the training data storage unit according to the second embodiment.This is a flowchart showing the processing procedure of the information processing device according to the second embodiment.This figure shows the probability distribution of successful transactions according to the second embodiment.This figure shows the prediction accuracy according to the second embodiment.This figure shows an example of a display screen according to the second embodiment.This figure shows an example of a display screen according to the second embodiment.This is a block diagram showing the functional configuration of the information processing device according to the third embodiment.This is a block diagram showing the functional configuration of the information processing device according to the fourth embodiment. The embodiments of the present invention will be described in detail below with reference to the drawings. However, the components described in the following embodiments are merely illustrative and are not intended to limit the technical scope of the present invention to them alone. [First Embodiment] An information processing device 100 as a first embodiment of the present invention will be described with reference to Figure 1. The information processing device 100 is a device for shortening the period of time a house is vacant. As shown in Figure 1, the information processing device 100 includes a contract probability calculation unit 101 and a display data generation unit 102. The transaction probability calculation unit 101 inputs real estate information 120 as input data into a transaction probability estimation model 111, which is generated by learning from past real estate transaction records 110 as training data, and calculates the transaction probability for each real estate sales price. The display data generation unit 102 generates display data for displaying an image showing the change in the probability of closing a deal due to differences in real estate sales prices 130. With the above configuration, it is possible to provide users with information on how the probability of closing a deal changes based on differences in real estate sales prices, thereby improving the liquidity of real estate. [Second Embodiment] Next, an information processing device according to the second embodiment of the present invention will be described using Figure 2 and subsequent figures. Figure 2 is a diagram illustrating the necessity of the information processing device according to this embodiment. As shown in Figure 2, in the current situation in 201, there are many used houses that are known as "negative real estate" and have no buyers. This is because the owners were unable to sell the vacant houses at the desired price, and in the meantime, damage progressed, making them even harder to sell. Both the owners and real estate agents profit more from selling at a high price, so the selling price tends to be high, but if the house remains unsold for a year or two, the damage worsens, making it even harder to sell. As the damage progresses, the burden on the owners increases, so they consult with local governments, etc., but by the time they consult, the damage has progressed and there is often no prospect of selling. There is no other option but demolition. Local governments also face a heavy workload, dealing with complaints from neighbors and handling repairs. In the ideal scenario (202), owners would understand how different selling prices affect the probability of a sale, allowing them to revise the property's selling price early, collaborate with real estate brokerage companies to register the property on real estate websites promptly, set a fair price, and carry out repairs. By enabling owners to take early and appropriate measures for the circulation of their homes, the vacancy period can be shortened, and the circulation of used homes can be promoted and standardized. <Overview of information processing equipment> Figure 3 is a diagram showing the processing overview of th