WO2023228607A1

WO2023228607A1 - Information processing device, information processing method, and storage medium

Info

Publication number: WO2023228607A1
Application number: PCT/JP2023/014684
Authority: WO
Inventors: 悦子諏訪
Original assignee: 株式会社セレンディピティー
Priority date: 2022-05-27
Filing date: 2023-04-11
Publication date: 2023-11-30
Also published as: JP2023174026A

Abstract

The present invention provides an information processing device, an information processing method, and a storage medium with which it is possible to effectively find properties according to user preferences.　The information processing device according to the present invention comprises an acquisition unit that acquires attributes of a user and an extraction unit that refers to a storage unit in which the attributes of a user and property items prioritized by the user are stored for a plurality of users, and extracts property items prioritized by other users with attributes similar to the attributes of the user acquired by the acquisition unit.

Description

Information processing device, information processing method, and storage medium

The present invention relates to an information processing device, an information processing method, and a storage medium.

Generally, when searching for a property such as a detached house or condominium, you narrow down the properties based on conditions such as size, floor plan, distance from the station, etc., and then inspect the desired property and see the actual property. It is common to confirm the condition and surrounding environment before signing a contract for rental, purchase, or other purposes.
Here, among conventional property search technologies, for example, there is a technology that presents property information of real estate properties that have environmental information that matches the user's preferences regarding the environment of the place of residence without the user's effort (patent (See Reference 1).

JP2020-46854A

However, there is still room for improvement in order for users to effectively search for properties according to their preferences.

The present invention has been made in view of the above problems, and aims to provide an information processing device, an information processing method, and a storage medium that can effectively search for properties according to the user's preferences.

In order to solve the above problems, an information processing device of the present invention includes an acquisition unit that acquires user attributes, and a storage unit that stores user attributes and property items prioritized by the users for a plurality of users. and an extraction unit that refers to the property item and extracts property items prioritized by other users with similar attributes to the user acquired by the acquisition unit.

According to the present invention, it is possible to provide an information processing device, an information processing method, and a storage medium that can effectively search for properties according to the user's preferences.

1 is a diagram illustrating an example of a schematic configuration of an information processing system according to a first embodiment. FIG. 2 is a diagram showing an example of the hardware configuration of a server according to the first embodiment. FIG. 2 is a diagram illustrating an example of a functional configuration of a server according to the first embodiment. It is a diagram showing an example of the hardware configuration of a user terminal according to the first embodiment. FIG. 2 is a diagram illustrating an example of a functional configuration of a user terminal according to the first embodiment. It is a flowchart which shows an example of information processing by the server concerning a 1st embodiment. It is a flowchart which shows an example of information processing by the server concerning a 1st embodiment. FIG. 7 is a diagram illustrating an example of a functional configuration of a server according to a second embodiment. It is a flowchart which shows an example of information processing by the server concerning a 2nd embodiment. It is a flowchart which shows an example of information processing by the server concerning a 2nd embodiment. FIG. 7 is a diagram illustrating an example of a functional configuration of a server according to a third embodiment. 12 is a flowchart illustrating an example of information processing by a server according to a third embodiment. 12 is a flowchart illustrating an example of information processing by a server according to a third embodiment.

Usually, people do not change residences very often due to moving etc., and they are not aware of what they want from a property, or what is important to them because they have taken it for granted in the past. Sometimes. In addition, due to the loss of items that were taken for granted in the place where they lived before (for example, daylight, amount of storage, bathroom size, ease of movement, etc.), the importance of items that have been lost after moving is also It is also possible that they become aware of their sexuality.
In addition, the real estate company may fail to hear the items requested by the user, or may not be able to understand them even if asked.
In this way, even if you contact a real estate company and have them introduce properties to you without being able to select your own priorities, it will take a lot of effort and time to find a property that you are satisfied with.
Furthermore, as a real estate company, if you are unable to quickly introduce properties that users are satisfied with, you will miss the chance to close a deal or incur a great deal of cost before closing a deal.
In addition, subjective information from sellers, landlords, and brokers cannot objectively evaluate properties, and there may be a gap in understanding between sellers, landlords, and brokers, and buyers or tenants. In this case as well, it will take a lot of effort and time for the user to find a property that they are satisfied with, and the real estate company may miss a chance to close the deal or spend a lot of time before closing the deal. This will incur costs.
In the following embodiments, an information processing device, an information processing method, and an information processing program that can effectively search for properties according to user preferences will be described.

[First embodiment]
In the first embodiment, a mode will be described in which a user can effectively search for a property according to the user's preferences by presenting items prioritized by other users with similar attributes.
FIG. 1 is a diagram showing an example of a schematic configuration of an information processing system 1 according to the first embodiment. As shown in FIG. 1, the information processing system 1 includes a server 2 (information processing device) and a user terminal 3 connected to the server 2 via a network 4. Further, another server (not shown) is connected to the network 4, and the server 2 is configured to be able to acquire objective information regarding the property (objective information will be described later). The numbers of servers 2 and user terminals 3 included in the information processing system 1 are arbitrary. It does not matter whether the communication between the server 2 and the user terminal 3 is wireless communication or wired communication.

(Server 2)
FIG. 2 is a diagram showing an example of the hardware configuration of the server 2 (information processing device). As shown in FIG. 2, the server 2 includes a communication IF 200A, a storage device 200B, a CPU 200C, and the like. Note that the server 2 may be provided with an input device (for example, a keyboard, a touch panel, etc.) and a display device (for example, a liquid crystal monitor, an organic EL monitor, etc.).

The communication IF 200A is an interface for communicating with an external terminal (in the first embodiment, the user terminal 3 or another server).

The storage device 200B is, for example, a hard disk drive or a semiconductor storage device (such as an SSD). The storage device 200B stores information processing programs and various data used by the server 2. In the first embodiment, the information processing program and various data are stored in the storage device 200B of the server 2, but they may also be stored in an external storage device such as a USB memory or an external server connected via a network. It may be configured so that it can be referenced or downloaded as needed.

The storage device 200B stores user attributes and items prioritized when users select properties for a plurality of users.
User attributes include, for example, the user's gender, age, annual income, family structure (e.g., living with parents, number and age of children, etc.), commuting time, work location, frequency of telework, location (e.g., Information such as address, nearest station, time or distance to the nearest station), apartment name, property floor plan (for example, LDK notation such as 1DK, 1LDK, 2DK, 2LDK) and/or size (0 square meters - less than 30 square meters) , 30 square meters or more - less than 50 square meters, etc.). Note that "floor plan and/or size" is also referred to as "floor plan/size" hereinafter.
The priority item is selected from the following items, for example. Note that the items shown below are just examples, and are not limited to the following examples.
(1) Good circulation of the property (2) Sunlight of the property (3) Storage of the property (4) Facilities of the property (5) Cleanliness of the property (6) Ventilation of the property (7) Height of the ceiling of the property (8) Local events (9) Crowding rate and delay rate at the nearest station (10) Ease of movement around the property (11) Quality of facilities around the property (12) Environmental risks around the property (13) Surrounding the property (14) Security around the property (15) Noise and vibration around the property (16) Level of environmental pollution around the property

Furthermore, the storage device 200B stores properties (property names) and property information of the properties for a plurality of properties. This information is used when searching for properties.
The property information includes, for example, the price of the property (rent and price), the floor plan/size of the property, the location, and information on items (1) to (16) described above.
In the first embodiment, in order to ensure objectivity, information regarding items (1) to (16) is acquired from another server (not shown) connected to the network 4. Note that the acquired information regarding items (1) to (16) is preferably digitized using a predetermined rule, algorithm, etc. for comparison in the evaluation unit 208, which will be described later.
Item (1) How to obtain the quality of the property's floor plan Obtain an evaluation that recognizes the property's floor plan and calculates the flow line

Item (2) How to obtain sunlight for a property Obtained from photos of the property and user ratings on SNS, etc. (e.g., property bulletin board, etc.)

Item (3) How to acquire property storage Acquire by recognizing the floor plan of the property

Item (4) Property equipment acquisition method: Obtained from property photos and user ratings on SNS, etc. (e.g., property bulletin board, etc.)

Item (5) How to obtain property cleanliness Obtained from property photos, user ratings on SNS, etc. (e.g., property bulletin board), and information on pests (e.g., termites, cockroaches, etc.)

Item (6) How to obtain property ventilation Obtain information such as user ratings on SNS etc. (e.g. property bulletin board) and strong wind rate around the property.

Item (7) How to obtain the ceiling height of the property Calculate by obtaining a photo of the property

Item (8) Local events
Acquisition method Obtain events around the property from SNS etc. (e.g. property bulletin board, etc.)

Item (9) How to obtain the congestion rate and delay rate of the nearest station Obtain the nearest station and congestion/delay ranking of the property

Item (10) How to obtain the ease of movement around the property Obtain the address of the property and the traffic volume in the surrounding area

Item (11) How to obtain the quality of facilities around the property Obtain information from SNS, etc. (e.g. property bulletin board), maps, information sites, etc.

Item (12) How to obtain environmental risks around the property Obtain information on surrounding hazard maps, etc. from the property address

Item (13) How to obtain age diversity of residents around the property Obtain information such as census results for the area from the address of the property

Item (14) How to obtain security around the property Obtain information around the property address from the Metropolitan Police Department crime information map, etc.

Item (15) How to obtain noise and vibration around the property Calculate from the property address from the distance from surrounding arterial roads, railways, and air routes and traffic volume, or obtain information around the property from an environmental noise map

Item (16) How to obtain the environmental pollution level around the property Obtain information around the property from the Ministry of the Environment's Air Pollutant Wide Area Monitoring System (Sora Mame-kun), etc.

The CPU 200C controls the server 2 and includes a ROM (Read Only Memory) and a RAM (Random Access Memory), which are not shown.

FIG. 3 is a diagram showing an example of the functional configuration of the server 2 according to the first embodiment. As shown in FIG. 3, the server 2 has functions such as a reception section 201, a transmission section 202 (output section), a storage device control section 203, an acquisition section 204, an extraction section 205, a search section 206, and an authentication section 207. Note that the functions shown in FIG. 3 are realized by the CPU 200C executing an information processing program stored in the ROM (not shown) of the server 2.

The receiving unit 201 receives data transmitted from the user terminal 3 and other servers via the network 4. The receiving unit 201 receives, for example, user attributes and search conditions transmitted from the user terminal 3.

The transmitter 202 transmits (outputs) data to the user terminal 3 via the network 4 .
The transmitter 202 transmits (outputs) the extraction result by the extractor 205 to the user terminal 3 via the network 4, for example.
The transmitter 202 transmits (outputs) the search results from the search unit 206 to the user terminal 3 via the network 4, for example.

The storage device control unit 203 controls the storage device 200B. The storage device control unit 203 writes and reads data to and from the storage device 200B, for example.

The acquisition unit 204 acquires user attributes, for example. Further, the acquisition unit 204 acquires, for example, information on items (1) to (16) regarding the property. The acquired information of items (1) to (16) is stored in the storage device 200B in association with the property (property name). Note that the acquisition unit 204 acquires items (1) to (16) that can be acquired, but does not acquire items that cannot be acquired due to lack of information or the like.

The extraction unit 205 calculates the similarity between the user attributes acquired by the acquisition unit 204 and the attributes of other users stored in the storage device 200B, and gives priority to other users whose similarities are equal to or higher than a threshold value. Extract items. Note that the extraction unit 205 can use an existing method such as collaborative filtering to calculate the similarity of attributes between users. ). Further, the similarity threshold can be set arbitrarily.

The search unit 206 searches for a plurality of properties based on search conditions by referring to the storage device 200B in which properties and property information of the properties are stored.

The authentication unit 207 of the server 2 authenticates the login ID and login password. Specifically, the authentication unit 207 determines whether there is a combination of the login ID and login password of the logged-in user that matches the combination of the login ID and login password stored in the storage device 200B. do. If a matching combination exists, the authentication unit 207 permits the user to log in; if a matching combination does not exist, the authentication unit 207 does not permit the user to log in.

(User terminal 3)
FIG. 4 is a diagram showing an example of the hardware configuration of the user terminal 3, and FIG. 5 is a diagram showing an example of the functional configuration of the user terminal 3. The user terminal 3 is a mobile terminal (for example, a smartphone or a tablet terminal), a PC (Personal Computer), or the like. As shown in FIG. 4, the user terminal 3 includes a communication IF 300A, a storage device 300B, an input device 300C, a display device 300D, a CPU 300E, and the like.

The communication IF 300A is an interface for communicating with another device (server 2 in the first embodiment).

The storage device 300B is, for example, an HDD (Hard Disk Drive) or a semiconductor storage device (SSD (Solid State Drive)). The storage device 300B stores an identifier (ID) of the user terminal 3, an information processing program, and the like. Note that the server 2 may newly assign the identifier to the user terminal 3, or an IP (Internet Protocol) address, MAC (Media Access Control) address, or the like may be used.

The input device 300C is, for example, a keyboard, a touch panel, etc., and the user can input data necessary for using the information processing system 1 by operating the input device 300C.

The display device 300D is, for example, a liquid crystal monitor or an organic EL monitor. The display device 300D displays screens necessary for using the information processing system 1.

The CPU 300E controls the user terminal 3 and includes a ROM and RAM (not shown).

As shown in FIG. 5, the user terminal 3 has functions such as a reception section 301, a transmission section 302, a storage device control section 303, an operation reception section 304, and a display device control section 305. Note that the functions shown in FIG. 5 are realized by the CPU 300E executing an information processing program stored in the storage device 300B or the like.

The receiving unit 301 receives data transmitted from the server 2.

The transmitter 302 adds an identifier to the data input using the input device 300C and transmits the data to the server 2. By assigning an identifier to the data transmitted from the user terminal 3, the server 2 can recognize which user terminal 3 the received data has been transmitted from.

The storage device control unit 303 controls the storage device 300B. Specifically, the storage device control unit 303 controls the storage device 300B to write and read data.

The operation reception unit 304 accepts input operations on the input device 300C.

The display device control unit 305 controls the display device 300D. Specifically, the display device control unit 305 controls the display device 300D to display a screen necessary for using the information processing system 1 according to the first embodiment.

Note that the user terminal 3 may display the data sent from the server 2 using a web browser, for example, or the user terminal 3 may have application software installed, and the user terminal 3 may use a web browser to display the data sent from the server 2. You may also display data sent from.

(Processing executed by information processing system 1)
6 and 7 are flowcharts illustrating an example of processing executed by the information processing system 1. The processing executed by the information processing system 1 will be described below with reference to FIGS. 6 and 7, and the same components as those described with reference to FIGS. 1 to 5 will be denoted by the same reference numerals. Repeated explanations will be omitted.

(Priority item extraction process)
FIG. 6 is a flowchart illustrating an example of priority item extraction processing executed by the information processing system 1. An example of the priority item extraction process executed by the information processing system 1 will be described below with reference to FIG. 6. Note that the following description assumes that the authentication unit 207 of the server 2 has already authenticated the login ID and login password.

(Step S101)
The user operates the input device 300C to input at least the user's attributes, such as gender, age, annual income, family structure, commuting time, work location, frequency of telework, location, apartment name, and floor plan/size of the property. Enter one or more pieces of information. The transmitter 202 of the user terminal 3 transmits the input user attribute information to the server 2 . The user attribute information transmitted from the user terminal 3 is received by the server 2 and acquired by the acquisition unit 204 of the server 2 .

(Step S102)
The extraction unit 205 of the server 2 calculates the similarity between the user attributes acquired by the acquisition unit 204 and the attributes of other users stored in the storage device 200B. Note that, as described above, the extraction unit 205 can use an existing method such as collaborative filtering to calculate the similarity.

(Step S103)
The extraction unit 205 of the server 2 refers to the information stored in the storage device 200B and extracts items prioritized by other users for which the similarity calculated in step S102 is greater than or equal to the threshold.

(Step S104)
The transmitter 202 of the server 2 transmits (outputs) the extraction result of the extractor 205 to the user terminal 3 via the network 4 . The extraction result is received by the receiving unit 301 of the user terminal 3 and displayed on the display device 300D by the display device control unit 305.

(Property search process)
FIG. 7 is a flowchart illustrating an example of a property search process executed by the information processing system 1. An example of the property search process executed by the information processing system 1 will be described below with reference to FIG. 7. Note that the following description assumes that the authentication unit 207 of the server 2 has already authenticated the login ID and login password.

(Step S201)
First, set search conditions (search items) for properties. For example, the user may set the property search conditions by inputting the property search conditions with reference to the items extracted by the priority item extraction process described with reference to FIG. The items extracted by the extraction unit 205 may be automatically set as property search conditions. Note that when the user operates the input device 300C and inputs search conditions for a property with reference to the items extracted by the priority item extraction process, the transmitter 202 of the user terminal 3 transmits information on the input search conditions. is sent to server 2. In addition, when the items extracted by the extraction unit 205 of the server 2 are automatically set as search conditions for properties, the details of each item (for example, environmental risk is below XX, environmental pollution level is below XX, etc.) Preferably, it is set by the user. The search condition information transmitted from the user terminal 3 is received by the server 2 and then received by the receiving unit 201 of the server 2 .

(Step S202)
The search unit 206 of the server 2 refers to the storage device 200B in which properties and property information of the properties are stored for a plurality of properties, and searches for properties that satisfy the search conditions.

(Step S203)
The transmitter 202 of the server 2 transmits (outputs) the search results from the searcher 206 to the user terminal 3 via the network 4 . The search results are received by the receiving unit 301 of the user terminal 3 and displayed on the display device 300D by the display device control unit 305.

Note that after outputting the step extraction results in FIG. 6, the items prioritized by the user may be analyzed based on the property selected by the user and stored in the storage device 200B. Furthermore, in step S201 of FIG. 7, when setting search conditions, the user (and users with similar attributes) may be asked, "I think these items should be prioritized. What do you think?" By checking in this way, if there is an error in the presented priority items, it can be corrected, and it is possible to reduce the possibility that uninteresting items will be presented as priority items.

In this way, items prioritized by other users with similar attributes can be presented, which is highly convenient. In particular, by checking the items prioritized by other users with similar attributes, you may notice items that you have not been aware of because you have taken them for granted, or you may find that your priorities are wrong, such as You can realize that something you thought was highly important is actually not that important, or vice versa.
In this way, you can select items to prioritize, including items you were not aware of, so you can avoid regrets after moving.
In addition, as a real estate company, since the priority items of the user become clearer, it can be expected to introduce properties that the user is satisfied with more quickly, which may result in missed opportunities to close a contract or incur significant costs to close a contract. can be suppressed.
In addition, as property information, we use objective information obtained from SNS and public sites, rather than subjective information entered by sellers, landlords, brokers, etc., so the information is highly reliable and searchable. It is possible to suppress the fear that the displayed property will differ from the user's expectations.

[Second embodiment]
In the second embodiment, a mode will be described in which a user can effectively search for a property according to his or her preferences by presenting an evaluation of the property where the user currently resides. In addition, in the following description, a different configuration from the information processing system 1 according to the first embodiment will be described, and redundant description will be omitted.

The storage device 200B of the server 2 stores information (hereinafter referred to as reference information) on an average property (hereinafter referred to as reference property). Here, standard information is prepared for each property floor plan (for example, LDK notation such as 1DK, 1LDK, 2DK, 2LDK) and size (number of square meters, such as 0 square meters - less than 30 square meters, 30 square meters or more - less than 50 square meters, etc.) has been done. Note that the average property (standard property) is, for example, a property obtained by taking the average value for each item of properties classified by floor plan or size registered in the server. For this reason, standard properties exist for each floor plan or size. The standard information is the evaluation value of the standard property for items (1) to (16) described in the first embodiment.

Also, the reason why we prepare standard properties for each floor plan and size, in other words, the reason why we prepare standard information values according to the floor plan and size, but the average value differs depending on the floor plan and size of the property. This is for the sake of coming. For example, in properties with a 1R floor plan, the toilet and bathroom are often small and simple, integrated (in the same room (bathroom)), but in properties with a 3LDK floor plan, the toilet and bathroom are in separate rooms. In addition, baths are equipped with a reheating function, and toilets are generally equipped with automatic washing machines. As a result, when looking at the quality of the property's facilities, larger properties with many rooms tend to receive higher evaluations, but for people who want to choose a property with a 1R floor plan, it is better to consider other floor plans such as 3LDK. This is because the evaluation value may not be very helpful. Similarly, properties with a 1R floor plan are often located near a station, so the evaluation of the quality of surrounding facilities tends to be high, but the ratings for noise and vibration tend to be low. Because most of the locations are located a little further away, noise and vibration ratings tend to be high. Therefore, for those who choose a property with a 3LDK floor plan, if you look at the average value combined with the property with a 1R floor plan, the evaluation of noise and vibration may be overestimated, and the quality of the property's facilities may be underestimated. Become.

FIG. 8 is a diagram showing an example of the functional configuration of the server 2 according to the second embodiment. As shown in FIG. 8, the server 2 has functions such as a reception section 201, a transmission section 202 (output section), a storage device control section 203, an acquisition section 204, a search section 206, an authentication section 207, and an evaluation section 208. Note that the functions shown in FIG. 8 are realized by the CPU 200C executing an information processing program stored in the ROM (not shown) of the server 2.

The acquisition unit 204 acquires, for example, information on items (1) to (16) described in the first embodiment regarding the property input by the user (for example, the property where the user currently resides). Note that the acquisition unit 204 acquires items (1) to (16) that can be acquired, but does not acquire items that cannot be acquired due to lack of information or the like.

The evaluation unit 208 evaluates the user's property acquired by the acquisition unit 204, for example, based on property information of a reference property that is a reference.
The evaluation unit 208 identifies, for example, a reference property that includes the floor plan and size of the user's property included in the property information acquired by the acquisition unit 204. In other words, the evaluation unit 208 identifies a reference property that has the same or substantially the same floor plan and size as the user's property included in the property information acquired by the acquisition unit 204.
Next, the evaluation unit 208 compares the value of each item of the property information of the property input by the user, which has been acquired by the acquisition unit 204, with the value of each item of the standard information of the specified standard property, and determines the value of the property relative to the value of the standard information. Calculate the ratio of information values for each item (divide the property information value by the standard information value).
As mentioned above, the standard information is based on the floor plan of the property (for example, LDK notation such as 1DK, 1LDK, 2DK, 2LDK) and size (number of square meters, such as 0 square meters - less than 30 square meters, 30 square meters or more - less than 50 square meters, etc.) provided.
For example, if the floor plan of the user's property included in the property information acquired by the acquisition unit 204 is 1LDK, the evaluation unit 208 uses the standard information of the standard property whose floor plan is 1LDK for the property acquired by the acquisition unit 204. The floor plan of the user's property included in the information is specified as the reference information of the reference property.
For example, if the size of the user's property included in the property information acquired by the acquisition unit 204 is 40 square meters and 1LDK, the evaluation unit 208 evaluates the standard property whose size is 30 square meters or more and less than 50 square meters. The acquisition unit 204 identifies the standard information as the standard information of the standard property that includes the size of the user's property included in the property information acquired.

(Property evaluation processing)
FIG. 9 is a flowchart illustrating an example of property evaluation processing executed by the information processing system 1. An example of the property evaluation process executed by the information processing system 1 will be described below with reference to FIG. 9. Note that the following description assumes that the authentication unit 207 of the server 2 has already authenticated the login ID and login password.

(Step S301)
The user operates the input device 300C to input property information such as the address and condominium name of the property where the user currently resides, for example. The transmitter 202 of the user terminal 3 transmits the input property information to the server 2. The receiving unit 201 of the server 2 receives property information transmitted from the user terminal 3.

(Step S302)
For example, the acquisition unit 204 of the server 2 acquires items (1) to (16) that constitute property information from another server based on the address and property name (apartment name, etc.) of the user's property received by the reception unit 201. Get information about.

(Step S303)
The evaluation unit 208 of the server 2 identifies, for example, a reference property that includes the floor plan and size of the user's property included in the property information acquired by the acquisition unit 204.

(Step S304)
The evaluation unit 208 of the server 2 compares the value of each item of the property information acquired by the acquisition unit 204 with the value of each item of the standard information of the specified standard property, and determines the value of the property information with respect to the value of the standard information. Calculate the percentage for each item.

(Step S305)
The transmitting unit 202 of the server 2 transmits (outputs) the evaluation result by the evaluating unit 208 to the user terminal 3 via the network 4. The evaluation result is received by the receiving unit 301 of the user terminal 3 and displayed on the display device 300D by the display device control unit 305.

(Property search process)
FIG. 10 is a flowchart illustrating an example of a property search process executed by the information processing system 1. An example of the property search process executed by the information processing system 1 will be described below with reference to FIG. 10. Note that the following description assumes that the authentication unit 207 of the server 2 has already authenticated the login ID and login password.

(Step S401)
First, set search conditions (search items) for properties. For example, the user may set the property search conditions by inputting property search conditions with reference to the property evaluation results evaluated by the property evaluation process described with reference to FIG. The property search conditions may be automatically set based on the evaluation result by the evaluation unit 208 of No. 2. Note that when the user operates the input device 300C and inputs search conditions for a property with reference to the evaluation results of the property, the transmission unit 202 of the user terminal 3 transmits information on the input search conditions to the server 2. do. In addition, when property search conditions are automatically set based on the evaluation results by the evaluation unit 208 of the server 2, details of each item (for example, environmental risk is below XX, environmental pollution level is below XX, etc.) is preferably set by the user. The search condition information transmitted from the user terminal 3 is received by the server 2 and then received by the receiving unit 201 of the server 2 .

(Step S402)
The search unit 206 of the server 2 refers to the storage device 200B in which properties and property information of the properties are stored for a plurality of properties, and searches for properties that satisfy the search conditions.

(Step S403)
The transmitter 202 of the server 2 transmits (outputs) the search results from the searcher 206 to the user terminal 3 via the network 4 . The search results are received by the receiving unit 301 of the user terminal 3 and displayed on the display device 300D by the display device control unit 305.

In this way, the property information of the user's property and the standard information of the average property (standard property) are compared for each item to evaluate the user's property, so it is possible to evaluate the user's property by comparing the property information of the user's property with the standard information of the average property (standard property). It is very convenient to be able to check what you are doing. In particular, since we compare the differences from the standard property item by item, we may notice items that we had not been aware of because we had taken them for granted, or we may notice that the priorities were wrong, for example. You can realize that something you thought highly of is actually not that important, or vice versa.
In this way, you can select items to prioritize, including items you were not aware of, so you can avoid regrets after moving.
In addition, as a real estate company, since the priority items of the user become clearer, it can be expected to introduce properties that the user is satisfied with more quickly, which may result in missed opportunities to close a contract or incur significant costs to close a contract. can be suppressed.
In addition, as property information, we use objective information obtained from SNS and public sites, rather than subjective information entered by sellers, landlords, brokers, etc., so the information is highly reliable and searchable. It is possible to suppress the fear that the displayed property will differ from the user's expectations.

[Third embodiment]
In the third embodiment, by having the user select multiple options that combine multiple items when searching for a property, priority items that the user is not aware of (for example, through con-joint analysis) can be presented. , a form that allows users to effectively search for properties according to their preferences will be described. In addition, in the following description, a different configuration from the information processing system 1 according to the first and second embodiments will be described, and redundant description will be omitted.

The storage device 200B stores a plurality of options that are a combination of items (1) to (16) described in the first embodiment and that are transmitted by the transmitter 202 of the server 2.

FIG. 11 is a diagram showing an example of the functional configuration of the server 2 according to the second embodiment. As shown in FIG. 11, the server 2 has functions such as a reception section 201, a transmission section 202 (output section), a storage device control section 203, an acquisition section 204, a search section 206, an authentication section 207, and an estimation section 209. Note that the functions shown in FIG. 11 are realized by the CPU 200C executing an information processing program stored in the ROM (not shown) of the server 2.

The transmitting unit 202 of the server 2 transmits to the user terminal 3 a plurality of options that are a combination of items (1) to (16) stored in the storage device 200B. Note that instead of storing in advance multiple options that are combinations of items (1) to (16) in the storage device 200B, multiple combinations of items (1) to (16) can be created based on predetermined rules, algorithms, etc. Alternatively, a plurality of options may be generated, and the transmitting unit 202 may transmit a plurality of options that are a combination of the generated items (1) to (16).
The estimating unit 209 estimates the priority (importance) of the item when searching for property information based on the user's evaluation (choice selection information) received by the receiving unit 201.

(Priority item estimation process)
FIG. 12 is a flowchart illustrating an example of priority item estimation processing executed by the information processing system 1. An example of the priority item estimation process executed by the information processing system 1 will be described below with reference to FIG. 12. Note that the following description assumes that the authentication unit 207 of the server 2 has already authenticated the login ID and login password.

(Step S501)
The transmitting unit 202 of the server 2 refers to the storage device 200B and transmits a plurality of options, which are combinations of items (1) to (16), to the user terminal 3. The transmitted option information is received by the receiving unit 301 of the user terminal 3 and displayed on the display device 300D by the display device control unit 305.

(Step S502)
The user operates the input device 300C to select (evaluate) any option from the multiple options presented. The transmitter 202 of the user terminal 3 transmits the selected information (selection information) to the server 2. The receiving unit 201 of the server 2 receives selection information transmitted from the user terminal 3.

(Step S503)
The estimating unit 209 of the server 2 estimates the priority (importance) of the item when searching for property information based on the user's evaluation (selection information) received by the receiving unit 201. Note that for the estimation, for example, a known method such as Con-joint analysis can be used.

(Step S504)
The transmitting unit 202 of the server 2 transmits (outputs) the estimation result of the estimating unit 209 to the user terminal 3 via the network 4. The estimation result is received by the receiving unit 301 of the user terminal 3 and displayed on the display device 300D by the display device control unit 305.

(Property search process)
FIG. 13 is a flowchart illustrating an example of a property search process executed by the information processing system 1. An example of the property search process executed by the information processing system 1 will be described below with reference to FIG. 13. Note that the following description assumes that the authentication unit 207 of the server 2 has already authenticated the login ID and login password.

(Step S601)
First, set search conditions (search items) for properties. For example, the user may set the property search conditions by inputting the property search conditions with reference to the items estimated by the priority item estimation process described with reference to FIG. The priority items estimated by the estimating unit 209 may be automatically set as property search conditions. Note that when the user operates the input device 300C and inputs search conditions for a property with reference to the items estimated by the priority item estimation process, the transmitter 202 of the user terminal 3 transmits information on the input search conditions. is sent to server 2. In addition, when property search conditions are automatically set based on the estimation results by the estimation unit 209 of the server 2, details of each item (for example, environmental risk is below XX, environmental pollution level is below XX, etc.) is preferably set by the user. The search condition information transmitted from the user terminal 3 is received by the server 2 and then received by the receiving unit 201 of the server 2 .

(Step S602)
The search unit 206 of the server 2 refers to the storage device 200B in which properties and property information of the properties are stored for a plurality of properties, and searches for properties that satisfy the search conditions.

(Step S603)
The transmitter 202 of the server 2 transmits (outputs) the search results from the searcher 206 to the user terminal 3 via the network 4 . The search results are received by the receiving unit 301 of the user terminal 3 and displayed on the display device 300D by the display device control unit 305.

In this way, priority items that the user is not aware of can be estimated, which is highly convenient. In particular, you may notice items that you had not been aware of because you had taken them for granted, or that your priorities were wrong, for example, items that you thought were a high priority but are actually not that important. Or you can notice that the opposite is true.
In this way, you can select items to prioritize, including items you were not aware of, so you can avoid regrets after moving.
In addition, as a real estate company, since the priority items of the user become clearer, it can be expected to introduce properties that the user is satisfied with more quickly, which may result in missed opportunities to close a contract or incur significant costs to close a contract. can be suppressed.
In addition, as property information, we use objective information obtained from SNS and public sites, rather than subjective information entered by sellers, landlords, brokers, etc., so the information is highly reliable and searchable. It is possible to suppress the fear that the displayed property will differ from the user's expectations.

Note that a plurality of options that are a combination of items (1) to (16) described in the first embodiment are stored in the storage device 200B for each user attribute, and the transmitting unit 202 of the server 2 refers to the storage device 200B. However, it may be configured to send to the user terminal 3 options for attributes that match or are similar to the user's attributes sent from the user terminal 3. Note that existing methods such as collaborative filtering can be used to calculate the similarity of attributes between users (any existing method may be used as long as it can calculate the similarity of attributes between users). .
In this way, by preparing transmission options depending on the user's attributes, it can be expected that more accurate estimation can be performed.

[Other embodiments]
In addition, the above-mentioned embodiments are merely examples of implementation of the present invention, and the technical scope of the present invention should not be construed to be limited thereby. That is, the present invention can be implemented in various forms without departing from its gist or main features.

For example, the first embodiment and the third embodiment may be combined. In this case, the transmitting unit 202 may transmit to the user terminal 3, for example, a plurality of options that are a combination of multiple items extracted by the extracting unit 205.

Also, for example, the second embodiment and the third embodiment may be combined. In this case, the transmitter 202 transmits to the user terminal 3, for example, a plurality of options that are a combination of a plurality of items evaluated by the evaluation unit 208 and whose evaluations are equal to or lower than the threshold value. Note that the combination may be made by combining a plurality of items by, for example, Con-joint analysis.

Furthermore, for example, a configuration may be adopted in which the user terminal 3 has some or all of the functions that the server 2 has.

1: Information processing system 2: Server 3: User terminal 4: Network 200A: Communication IF
200B: Storage device 200C: CPU
201: Receiving section 202: Transmitting section (output section)
203: Storage device control unit 204: Acquisition unit 205: Extraction unit 206: Search unit 207: Authentication unit 208: Evaluation unit 209: Estimation unit 300A: Communication IF
300B: Storage device 300C: Input device 300D: Display device 300E: CPU
301: Receiving unit 302: Transmitting unit 303: Storage device control unit 304: Operation reception unit 305: Display device control unit

Claims

an acquisition unit that acquires user attributes;
For a plurality of users, by referring to a storage unit that stores attributes of the users and items of properties prioritized by the users, the acquisition unit acquires properties prioritized by other users with similar attributes to the user. an extraction unit that extracts items;
An information processing device comprising:
a search unit that searches for a plurality of properties based on the extraction result of the extraction unit by referring to a storage unit in which the properties and property information of the properties are stored;
The information processing device according to claim 1, characterized in that:
an output unit that outputs a plurality of options obtained by combining a plurality of items extracted by the extraction unit;
a receiving unit that receives user evaluations of the plurality of options;
an estimation unit that estimates the priority of the item based on the evaluation received by the reception unit;
The information processing device according to claim 1, further comprising:
a search unit that searches for a plurality of properties based on the estimation result of the estimation unit by referring to a storage unit in which the properties and property information of the properties are stored;
The information processing device according to claim 3, characterized in that:
an acquisition unit that acquires property information of a user's property;
an evaluation unit that evaluates the user's property based on property information of a reference property that is a reference;
An information processing device comprising:
The property information includes multiple items,
The evaluation department is
evaluating the property information acquired by the acquisition unit for each item;
6. The information processing device according to claim 5.
a search unit that searches for a plurality of properties based on an evaluation result by the evaluation unit, with reference to a storage unit in which the properties and property information of the properties are stored;
6. The information processing device according to claim 5.
an output unit that outputs a plurality of options combining a plurality of the items based on the evaluation result in the evaluation unit;
a receiving unit that receives user evaluations of the plurality of options;
an estimation unit that estimates the priority of the item based on the evaluation received by the reception unit;
7. The information processing apparatus according to claim 6.
a search unit that searches for a plurality of properties based on the estimation result of the estimation unit by referring to a storage unit in which the properties and property information of the properties are stored;
9. The information processing device according to claim 8.
an output unit that outputs multiple options combining multiple property items;
a receiving unit that receives user evaluations of the plurality of options;
an estimation unit that estimates the priority of the item based on the evaluation received by the reception unit;
An information processing device comprising:
an acquisition unit that acquires property information of the user's property;
an evaluation unit that evaluates the user's property based on property information of a reference property that is a reference;
The output section is
outputting a plurality of options that are combinations of a plurality of the items based on the evaluation result in the evaluation section;
The information processing device according to claim 10.
an acquisition unit that acquires user attributes;
For a plurality of users, by referring to a storage unit that stores attributes of the users and items of properties prioritized by the users, the acquisition unit acquires properties prioritized by other users with similar attributes to the user. an extraction unit for extracting items;
The output section is
outputting a plurality of options that are a combination of a plurality of items extracted by the extraction unit;
The information processing device according to claim 10.
a search unit that searches for a plurality of properties based on the estimation result of the estimation unit by referring to a storage unit in which the properties and property information of the properties are stored;
The information processing device according to claim 10.
a step in which the acquisition unit acquires attributes of the user;
The extraction unit refers to a storage unit in which attributes of the users and property items prioritized by the users are stored for a plurality of users, and identifies other users with similar attributes to the user acquired by the acquisition unit. A process of extracting priority property items;
An information processing method characterized by having the following.
a step in which the acquisition unit acquires property information of the user's property;
a step in which the evaluation unit evaluates the user's property based on property information of a reference property that is a reference;
An information processing method characterized by having the following.
a step in which the output unit outputs a plurality of options combining a plurality of property items;
a step in which the receiving unit receives user evaluations of the plurality of options;
an estimating unit estimating the priority of the item based on the evaluation received by the receiving unit;
An information processing method characterized by having the following.
computer,
an acquisition unit that acquires user attributes;
For a plurality of users, refer to a storage unit that stores attributes of the users and items prioritized by the users, and extract items prioritized by other users with similar attributes to the user acquired by the acquisition unit. extraction part,
1. A storage medium storing an information processing program characterized in that it functions as an information processing program.
computer,
an acquisition unit that acquires property information of a user's property;
an evaluation unit that evaluates the user's property based on property information of a reference property that is a reference;
1. A storage medium storing an information processing program characterized in that it functions as an information processing program.
computer,
An output unit that outputs multiple options that combine multiple property items;
a receiving unit that receives user evaluations of the plurality of options;
an estimation unit that estimates the priority of the item based on the evaluation received by the reception unit;
1. A storage medium storing an information processing program characterized in that it functions as an information processing program.