JP2023000721A - Information processing device, information processing method and information processing program - Google Patents

Abstract

To provide an information processing device, an information processing method and an information processing program capable of providing a seller with more useful information.SOLUTION: An information processing device according to the present application includes an identification part, an extraction part, and a proposal part. The identification part identifies a plurality of articles having prescribed commonality from among purchased articles. The extraction part extracts an article having a high sales price as a target article among the plurality of articles identified by the identification part. The proposal part proposes input information to be inputted at selling, to a seller of a selling article similar to the target article on the basis of article information inputted about the target article by the seller at selling of the target article.SELECTED DRAWING: Figure 2

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

With the spread of the Internet, various information analysis techniques have been proposed. For example, there is a technique for matching a seller and a buyer in relation to buying and selling real estate such as houses (see, for example, Patent Document 1).

JP-A-2002-358352

However, the conventional technology only matches sellers and buyers, and there is room for further improvement in proposing more useful information to sellers such as sellers.

The present application has been made in view of the above, and an object thereof is to provide an information processing device, an information processing method, and an information processing program capable of proposing more useful information to sellers.

An information processing apparatus according to the present application includes an identifying unit, an extracting unit, and a proposing unit. The identifying unit identifies a plurality of properties having a predetermined commonality among the purchased properties. The extraction unit extracts, from among the plurality of properties identified by the identification unit, the property whose selling price satisfies a predetermined condition as a property of interest. The proposal unit proposes input information to be input at the time of sale to a seller of a property for sale similar to the property of interest based on the property information input by the seller at the time of sale of the property of interest. .

According to one aspect of the embodiment, there is an effect that more useful information can be proposed to the seller.

FIG. 1 is a diagram showing an overview of an information processing method according to an embodiment. FIG. 2 is a diagram illustrating an example of an information processing system according to the embodiment; FIG. 3 is a diagram illustrating an example of a purchased property database according to the embodiment; FIG. 4 is a diagram illustrating an example of a sales property database according to the embodiment; FIG. 5 is a diagram showing an example of a prospective purchaser database according to the embodiment. FIG. 6 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the embodiment; FIG. 7 is a diagram illustrating an example of a hardware configuration;

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

(embodiment)
[Overview of information processing method]
First, an outline of an information processing method according to an embodiment will be described with reference to FIG.

[Information processing shown in FIG. 1]
FIG. 1 is a diagram showing an overview of an information processing method according to an embodiment. An information processing method according to the embodiment is executed by the information processing apparatus 1 shown in FIG. Specifically, by executing the information processing method, the information processing apparatus 1 according to the embodiment, based on the property information input when selling the property purchased in the past, Suggest input information to be entered when selling

Specifically, first, the information processing device 1 receives registration of a sale item to be sold via the terminal device 100 handled by the seller (hereinafter referred to as the seller terminal 100) (step S1). Properties for sale include buildings such as single-family homes and collective housing such as condominiums, as well as real estate such as land for residential use. In addition, the seller includes a seller who owns the property for sale and an intermediary who is entrusted with the sale of the property for sale.

Subsequently, the information processing device 1 identifies a plurality of properties having a predetermined commonality among the properties purchased in the past (step S2). Predetermined commonalities include, for example, property locations (including regions), floor plans, building ages, floor areas, and the number of floors.

Subsequently, the information processing apparatus 1 extracts properties with high sales prices from among the plurality of specified properties as objects of interest (step S3). A property with a high sales price is, for example, a property whose sales price is higher than the average sales price of multiple specified properties, a property whose sales price is higher than the median sales price of multiple properties, or a property whose sales price is high among multiple properties. Property. Note that the object of interest may be one or a plurality of objects. In addition, the object of interest is not limited to a property with a high selling price, and may be a property with a selling price that satisfies a predetermined condition, such as a property with a low selling price or a property with a specific selling price.

Subsequently, the information processing apparatus 1 generates input information to be input when selling a property for sale similar to the property of interest based on the property information input when selling the property of interest (step S4). The property information includes, for example, text data indicating properties of the property, and image data indicating the appearance and interior of the property. The input information is information corresponding to the property information, and includes information on the tendency of text data indicating the characteristics of the property and the tendency of image data indicating the appearance and interior of the property.

For example, as a result of analyzing the text data included in the property information, if the text data frequently uses the word ending, information indicating that the word ending is recommended is generated as the input information. In addition, as a result of analyzing the image data included in the property information, if it is found that the image data was captured by a camera from a specific height position, the height position of the camera should be recommended as input information. Generates information indicating

The information processing device 1 then transmits the generated input information to the seller terminal 100, thereby proposing the input information to the seller (step S5). As a result, the seller creates property information based on the proposed input information and inputs it to the information processing device 1 (step S6).

In other words, the information processing apparatus 1 generates input information based on the tendency of property information of properties purchased at sales prices higher than the reference price, thereby proposing input information for selling the property for sale at a higher price. This allows the seller to input property information that allows the property to be sold at a higher price. Thus, according to the information processing method according to the embodiment, more useful information can be provided to the seller.

The information processing apparatus 1 that executes such an information processing method will be described in detail below.

[Information provision system]
Next, a configuration example of a system including the information processing device 1 will be described with reference to FIG.

[Components of information processing system]
FIG. 2 is a diagram illustrating an example of an information processing system S according to the embodiment. As shown in FIG. 2, the information processing system S includes components such as an information processing device 1, a seller terminal 100, a prospective purchaser terminal 200, and the like. Although not shown in FIG. 2, the information processing system S may include a plurality of information processing apparatuses 1, a plurality of seller terminals 100, and a plurality of prospective purchaser terminals 200. FIG. The information processing system S may also include other components such as devices of entities related to the information processing device 1 (eg, vendors, end users).

In the information processing system S, the information processing device 1, the seller terminal 100, and the prospective purchaser terminal 200 are each connected to the network N by wire or wirelessly. The network N is, for example, the Internet, a WAN (Wide Area Network), a LAN (Local Area Network), or the like. The components of information processing system S can communicate with each other via network N. FIG.

The information processing device 1 is configured as, for example, a server device. The information processing device 1 executes a process for proposing input information on a property for sale. The information processing apparatus 1 also executes a process for introducing a property for sale to a prospective purchaser of the property via the prospective purchaser terminal 200 . A plurality of information processing apparatuses 1 may provide the functions of various servers such as a web server, an application server, and a database server. Details of the configuration example of the information processing apparatus 1 will be described later.

The seller terminal 100 is an information processing device used by users such as sellers of properties for sale and brokers. The seller terminal 100 can transmit a registration request for a property to be sold and property information to the information processing apparatus 1 via various services on the Internet (for example, a portal site and a portal application). The seller terminal 100 may be any type of information processing device, including client devices such as smart phones, desktop PCs, notebook PCs, tablet PCs, and the like.

The prospective purchaser terminal 200 is an information processing device used by a user who wishes to purchase a property for sale. A user who wishes to purchase a property for sale is not limited to a user who actually intends to purchase a property for sale; may The prospective purchaser terminal 200 can transmit a search query for a sale property and user information of the prospective purchaser to the information processing apparatus 1 via various services on the Internet (for example, a portal site and a portal application). The prospective purchaser terminal 200 may be any type of information processing device including client devices such as smart phones, desktop PCs, notebook PCs, and tablet PCs.

[Configuration of information processing device]
As shown in FIG. 2 , the information processing device 1 has a communication section 2 , a control section 3 and a storage section 4 . The information processing device 1 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from an administrator or the like who uses the information processing device 1, and a display unit (liquid crystal display, etc.) for displaying various information. may have.

(Communication part 2)
The communication unit 2 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 2 is connected to a network by wire or wirelessly. The communication unit 2 is communicably connected to the seller terminal 100 and the prospective purchaser terminal 200 via the network N, so that information can be transmitted and received.

(storage unit 4)
The storage unit 4 is implemented by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disc. As shown in FIG. 2 , the storage unit 4 has a purchase property database 410 , a sale property database 420 and a prospective purchaser database 430 .

(Purchase property database 410)
FIG. 3 is a diagram showing an example of the purchase property database 410 according to the embodiment. Purchased property database 410 stores information about previously purchased properties.

In the example of FIG. 3, the purchase property database 410 has items such as “purchase property ID” and “property information”.

“Purchased property ID” indicates an identifier for identifying the purchased property. "Property information" indicates information input when the purchased property is sold.

For example, FIG. 3 shows that the property information of the property identified by the purchase property ID “purchase property #1” is “property information #1-1”. The purchased property ID “purchased property #1” is, for example, a predetermined character string. The property information "property information #1-1" includes, for example, the location of the property, the floor plan, the age of the building, the floor area, the introductory text when the property is sold, the date and time of purchase, the sales price, the sales price (including the discounted price) ), text data indicating the purchaser, etc., and image data of the property.

(Sales property database 420)
FIG. 4 is a diagram showing an example of the property for sale database 420 according to the embodiment. The sales property database 420 stores information about properties (sale properties) that are scheduled to be sold (or are currently being sold).

In the example of FIG. 4, the sales property database 420 has items such as "sale property ID" and "property information."

"Sales item ID" indicates an identifier for identifying a sale item. "Property information" indicates information input when selling a property for sale.

For example, FIG. 4 shows that the property information of the property for sale identified by the property for sale ID “Property for Sale #1” is “Property Information #1-1”. The sales property ID “sales property #1” is, for example, a predetermined character string. The property information "property information #1-1" includes, for example, property location, floor plan, building age, floor area, text data indicating property sales, selling price, etc., and property image data. .

(Purchase applicant database 430)
FIG. 5 is a diagram showing an example of the prospective purchaser database 430 according to the embodiment. The prospective purchaser database 430 stores information about users who wish to purchase.

In the example of FIG. 5, the prospective purchaser database 430 has items such as "purchase applicant ID" and "user information".

"Purchase applicant ID" indicates an identifier for identifying a purchase applicant. "User information" indicates user information about the prospective purchaser.

For example, FIG. 5 shows that the user information of the prospective purchaser identified by the prospective purchaser ID "purchaser #1" is "user information #1-1". The prospective purchaser ID "purchase applicant #1" is, for example, a predetermined character string. The user information “user information #1-1” includes, for example, text data indicating the user's attributes and the preferences of the property that the user wishes to purchase.

(control unit 3)
The control unit 3 is a controller, and for example, various programs (determination program (corresponding to an example of ) is implemented by using a RAM or the like as a work area. In addition, the control unit 3 is a controller, and may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit). .

As shown in FIG. 2, the control unit 3 has a receiving unit 31, a specifying unit 32, an extracting unit 33, a proposing unit 34, an estimating unit 35, and an introducing unit 36, which will be described below. Realize or perform an information processing function or action. Further, the control unit 3 can implement the information processing described above with reference to FIG. One or more processors of the information processing device 1 can implement the functions of each control unit in the control unit 3 by executing instructions stored in one or more memories of the information processing device 1. can. Note that the internal configuration of the control unit 3 is not limited to the configuration shown in FIG. 2, and may be another configuration as long as it performs the information processing described later. For example, the identifying unit 32 may perform all or part of the information processing described later with respect to units other than the identifying unit 32 .

The reception unit 31 receives various information and requests. For example, the reception unit 31 receives registration for selling a property for sale from the seller terminal 100 . Specifically, the receiving unit 31 receives property information about the property to be sold, and sales conditions such as the selling price, the selling start time, the selling period, and the like.

The reception unit 31 also receives a request for introduction of a sale property and a search request from the terminal 200 of the prospective purchaser. For example, the reception unit 31 receives an introduction request or a search request containing constraint conditions that restrict property information or sales conditions.

The identifying unit 32 refers to the purchased property database 410 and identifies a plurality of properties having a predetermined commonality among the purchased properties. For example, the identifying unit 32 identifies a plurality of properties having common (similar) property information of purchased properties.

Specifically, the identifying unit 32 identifies a plurality of properties having similar property attributes such as property location, area, floor plan, building age, number of floors, and floor area. Note that the identifying unit 32 may identify a plurality of properties similar to the property attributes of the property for sale whose registration is received by the receiving unit 31 .

The extraction unit 33 extracts a property with a high sales price from among the plurality of properties identified by the identification unit 32 as a property of interest. The sales price is the final purchase price of the purchaser, and is the price after the discount if a discount or the like occurs.

For example, the extracting unit 33 extracts a property whose selling price is higher than the selling price specified by the seller from among the plurality of properties as a property of interest. The extraction unit 33 also extracts, for example, a property whose sales price is higher than the average value of the specified plurality of properties, a property whose sales price is higher than the median value of the plurality of properties, and a property whose sales price is higher than that of the plurality of properties. may be extracted as an object of interest. Note that the object of interest may be one or a plurality of objects.

In addition, when the properties extracted based on the sales price include a plurality of properties of the same collective housing (with different room numbers), the extraction unit 33 may extract only the representative property of the collective housing as a property of interest.

Further, the extracting unit 33 may extract, as a property of interest, a property whose sales price is higher than the average price of surrounding properties for each of a plurality of properties.

In addition to the sales price, the extraction unit 33 may also extract a property having a specific property attribute as a property of interest. For example, the extraction unit 33 extracts, as properties of interest, properties with a short period until purchase (less than a predetermined value), properties with a large number of public viewings (a predetermined value or more), properties with a large number of searches (browsing times), and the like. good too.

The proposal unit 34 proposes input information to be input at the time of sale to the seller of a property for sale similar to the property of interest based on the property information input by the seller when selling the property of interest.

Specifically, the proposal unit 34 analyzes the property information tendency of the object of interest, and generates input information indicating the property information tendency based on the analysis result. Property information trends include, for example, text data grammatical techniques (such as ending sentences), number of characters in text data (total number of characters, number of characters per sentence), sentence pattern (subject, predicate, object, order of complement), etc. including. In other words, the proposal unit 34 analyzes the text data of the property information and proposes input information regarding the tendency of the text data.

Also, the proposal unit 34 analyzes the image data of the property information and proposes input information regarding the tendency of the image data. For example, trends in image data include the method of photographing the exterior and interior of a property (camera height position, presence or absence of a fisheye lens, brightness, etc.), the number of image data, and the type of room indicated by the image data (living room, children's room, closet, etc.). etc.), furniture arrangement, etc.

The estimating unit 35 estimates the property preferences of the prospective purchaser who wishes to purchase the property. For example, the estimating unit 35 estimates the property type preference and property price preference based on behavior information such as property search behavior and property viewing behavior of prospective purchasers.

Also, the estimation unit 35 estimates the allowable price for each property type based on the estimated preference for the property type and the preference for the property price. For example, the estimating unit 35 estimates an allowable price of 1,000,000 yen plus the budget for a renovated property. In addition, if the property is a one-story house, the estimation unit 35 estimates an allowable price of 1,000,000 yen plus the budget.

The estimating unit 35 stores in the prospective purchaser database 430 the estimated various preferences and user information in which the permissible price is associated with each prospective purchaser. It should be noted that the preferences and allowable prices described above may be received directly from prospective purchasers.

In addition, the estimating unit 35 presents a plurality of properties randomly selected from the properties to be purchased and the properties for sale to the prospective purchaser, and asks them to select the quality of each property, thereby estimating the above-described preference and allowable price. good too.

When the reception unit 31 receives a request for introduction or a search request for an article for sale from a prospective purchaser, the introducing section 36 introduces an article for sale that meets the conditions to the prospective purchaser. Specifically, the introduction unit 36 introduces the sale property based on the property information of the sale property and the user information of the purchaser.

For example, the introduction unit 36 introduces a property for sale that matches the property attribute preference of the prospective purchaser and whose property price falls within the price considering the allowable price.

[Processing flow]
Next, a procedure of processing by the information processing apparatus 1 according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing an example of processing executed by the information processing device 1 according to the embodiment.

As shown in FIG. 6, the control unit 3 receives registration of an article for sale from the seller terminal 100 (step S101).

Subsequently, the control unit 3 identifies a plurality of properties having a predetermined commonality among the purchased properties (step S102).

Subsequently, the control unit 3 extracts a property with a high sales price as a property of interest from among the specified plurality of properties (step S103).

Subsequently, based on the property information of the property of interest, the control unit 3 proposes input information of properties for sale similar to the property of interest (step S104), and ends the process.

〔others〕
Also, among the processes described in the above embodiments, some of the processes described as being automatically performed can also be performed manually. Alternatively, all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

For example, part or all of the storage unit 4 shown in FIG. 2 may be held in a storage server or the like instead of being held by the information processing apparatus 1 . In this case, the information processing device 1 acquires various information by accessing the storage server.

[Hardware configuration]
Further, the information processing apparatus 1 according to the above-described embodiments is implemented by a computer 1000 configured as shown in FIG. 7, for example. FIG. 7 is a diagram illustrating an example of a hardware configuration; A computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090. have

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device such as a RAM that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used for various calculations by the arithmetic device 1030 and various databases are registered. It is realized by

The output IF 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various types of information such as a monitor and a printer. It is realized by a connector conforming to a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). Also, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, scanner, etc., and is realized by, for example, USB.

Note that the input device 1020 includes, for example, optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), PDs (Phase change rewritable discs), magneto-optical recording media such as MOs (Magneto-Optical discs), and tapes. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like. Also, the input device 1020 may be an external storage medium such as a USB memory.

Network IF 1080 receives data from other devices via network N and sends the data to arithmetic device 1030, and also transmits data generated by arithmetic device 1030 via network N to other devices.

The arithmetic device 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070 . For example, arithmetic device 1030 loads a program from input device 1020 or secondary storage device 1050 onto primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 1 , the arithmetic device 1030 of the computer 1000 implements the functions of the control unit 3 by executing programs loaded on the primary storage device 1040 .

〔effect〕
As described above, the information processing apparatus 1 according to the embodiment includes the specifying unit 32, the extracting unit 33, and the proposing unit 34. The identifying unit 32 identifies a plurality of properties having a predetermined commonality among the purchased properties. The extraction unit 33 extracts a property whose sales price satisfies a predetermined condition from among the plurality of properties identified by the identification unit 32 as a property of interest. The proposal unit 34 proposes input information to be input at the time of sale to the seller of a property for sale similar to the property of interest based on the property information input by the seller at the time of sale of the property of interest. The identifying unit 32 identifies a plurality of properties having similar property information. The property information includes property attributes of the property. The identifying unit 32 identifies a plurality of properties with similar property attributes. The extraction unit 33 extracts a property whose selling price is higher than a predetermined standard as a property of interest. The predetermined criterion is the average or median sales price of the multiple properties identified by the identification unit 32 . The predetermined standard is the selling price of properties located around each of the plurality of properties. The extraction unit 33 extracts a property having a high sales price and a specific property type as a target property. The proposal unit 34 analyzes the tendency of text data included in the property information and proposes input information indicating the tendency of the text data. The proposal unit 34 analyzes the tendency of the image data included in the property information and proposes input information indicating the tendency of the image data. The reception unit 31 receives property information of properties for sale. The introducing unit 36 introduces the property for sale based on the property information of the property for sale and the user information of the prospective purchaser. The user information is information in which an allowable price is associated with each piece of information included in the property information of the property for sale. The introducing unit 36 introduces a property for sale whose property price is within the price including the allowable price. With such a configuration, more useful information can be provided to the seller.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

〔others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Further, each processing described in the above-described embodiments can be appropriately combined within a range that does not contradict the content of the processing.

Also, the "section, module, unit" described above can be read as "means" or "circuit". For example, the identifying unit 32 can be read as identifying means or a specific circuit.

1 Information processing device 2 Communication unit 3 Control unit 4 Storage unit 31 Reception unit 32 Identification unit 33 Extraction unit 34 Proposal unit 35 Estimation unit 36 Introduction unit 100 Seller terminal 200 Purchase candidate terminal 410 Purchase property database 420 Sale property database 430 Purchase Applicant database S Information processing system

Claims (13)

an identification unit that identifies a plurality of properties having a predetermined commonality among the purchased properties;
an extraction unit for extracting, as a property of interest, the property whose selling price satisfies a predetermined condition from among the plurality of properties identified by the identification unit;
a proposal unit for proposing input information to be input at the time of sale to a seller of a property for sale similar to the property of interest based on property information input by the seller at the time of sale of the property of interest. An information processing device characterized by: The identification unit
2. The information processing apparatus according to claim 1, wherein said plurality of properties having similar property information are specified. The property information is
The identification unit includes property attributes of the property,
3. The information processing apparatus according to claim 2, wherein said plurality of properties having similar property attributes are specified. The extractor is
4. The information processing apparatus according to any one of claims 1 to 3, wherein the object whose selling price is higher than a predetermined standard is extracted as the object of interest. The predetermined criteria are
5. The information processing apparatus according to claim 4, wherein the price is an average value or a median value of the sales prices of the plurality of properties specified by the specifying unit. The predetermined criteria are
6. The information processing apparatus according to claim 4, wherein the price is a sales price of a property located in the vicinity of each of the plurality of properties. The extractor is
The information processing apparatus according to any one of claims 1 to 6, wherein the property having a high sales price and a specific property type is extracted as the object of interest. The proposal department
The information processing apparatus according to any one of claims 1 to 7, wherein the tendency of text data included in the property information is analyzed, and the input information indicating the tendency of the text data is proposed. The proposal department
The information processing apparatus according to any one of claims 1 to 8, wherein the tendency of the image data included in the property information is analyzed, and the input information indicating the tendency of the image data is proposed. a reception unit that receives the property information of the property for sale;
10. The information according to any one of claims 1 to 9, further comprising: an introducing unit that introduces the sale property based on the property information of the sale property and the user information of a purchaser. processing equipment. The user information is
Information in which an allowable price is associated with each piece of information included in the property information of the property for sale,
The introduction section
11. The information processing apparatus according to claim 10, wherein the property for sale whose property price falls within a price in consideration of the allowable price is introduced. A computer-executed information processing method comprising:
an identifying step of identifying a plurality of properties having a predetermined commonality from among the purchased properties;
an extracting step of extracting, as a property of interest, the property whose sales price satisfies a predetermined condition from among the plurality of properties identified by the identifying step;
a proposal step of proposing input information to be input at the time of sale to a seller of a property for sale similar to the property of interest based on the property information input by the seller at the time of sale of the property of interest. An information processing method characterized by: an identification procedure for identifying a plurality of properties having a predetermined commonality from among the purchased properties;
an extraction step of extracting, as a property of interest, the property whose sales price satisfies a predetermined condition from among the plurality of properties identified by the identification step;
a proposal procedure for proposing input information to be input at the time of sale to a seller of a property for sale similar to the property of interest based on the property information entered by the seller at the time of sale of the property of interest; An information processing program characterized by being executed by

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