Real estate deal contracting support system, real estate deal contracting support method, and program

Abstract

To provide a real estate deal contracting support system capable of enhancing a possibility of a contraction of a real estate deal by performing a propose based on an observation action of a user.SOLUTION: A real estate deal contracting support system 1 includes: a client terminal 3 that provides in a virtual reality space a preview of a real estate to a user; and a contracting support device 5 that supports a contraction of a real estate deal on the basis of the preview provided by the client terminal 3. The contracting support device 5 includes: an observation action recording part 522 that records an observation action in a virtual reality space proposed by the client terminal 3; a learning part 524 that performs a learning by using a feature amount of the observation action recorded by the observation action recording part 522 and evaluation information against the real estate as a dataset; and a proposing part 528 that performs a propose related to the real estate on the basis of the feature amount of the observation action recorded by the observation action recording part 522 and a learning model learned by the learning part 524.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a real estate transaction conclusion support system, a real estate transaction conclusion support method, and a program.

Background Art

[0002] For example, in Patent Document 1, a computer is made to function as means for acquiring a screen image representing the display content of the screen of the first client device during the process in which the user operates the first client device and is involved in a target, means for acquiring an estimation result of the line-of-sight direction of the user during the process, means for acquiring additional information regarding the actions of the user other than the movement of the user's eyes during the process or the actions of the user's conversation partner in the process, or the actions of the analyst of the process, means for associating and storing the screen image, the estimation result of the line-of-sight direction, and the additional information with the date and time respectively, and means for outputting UI (User Interface) information for displaying at least one of the screen image or the estimation result of the line-of-sight direction and at least one of the additional information over time. The means for outputting the UI information outputs UI information for displaying a moving image in which information based on the estimation result of the line-of-sight direction is superimposed on a series of the screen images. A program is disclosed.

[0003] Further, in Patent Document 2, there is disclosed a real estate transaction support system including a server, a seller terminal used by a seller connected to the server via an Internet system, and a plurality of buyer terminals used by buyers connected to the server via an Internet system. The system includes property information registration means for registering property information regarding a property provided via the seller terminal, buyer information registration means for registering information regarding a buyer provided via the buyer terminal, property information display means for displaying a main part of the registered property information, chat permission means for enabling dialogue by e-mail between the seller-side terminal and the buyer-side terminal, and property guidance application means for the seller-side terminal to request guidance to the property related to the above property.

[0004] Furthermore, Patent Document 3 discloses an analysis device for analyzing customer purchase behavior, which includes an acquisition unit for acquiring information for identifying an environment in which a product purchased by one or more customers among a plurality of different environments where the same type of product is arranged in a predetermined store is placed, and an identification unit for identifying the environment in which the product purchased by the customer is placed based on the information acquired by the acquisition unit.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0006] An object of the present invention is to provide a real estate transaction conclusion support system that makes a proposal based on a user's inspection behavior and enhances the possibility of concluding a real estate transaction.

Means for Solving the Problems

[0007] The real estate transaction conclusion support system according to the present invention includes a client terminal that provides a user with an interior view of a real estate in a virtual reality space, and a real estate transaction conclusion support device that supports the conclusion of a real estate transaction based on the interior view provided by the client terminal. The real estate transaction conclusion support device includes a visit behavior recording unit that records a visit behavior in the virtual reality space provided by the client terminal, a learning unit that learns, as a data set, a feature amount of the visit behavior recorded by the visit behavior recording unit and evaluation information on the real estate, and a proposal unit that makes a proposal regarding the real estate to the user based on the feature amount of the visit behavior recorded by the visit behavior recording unit and the learning model learned by the learning unit.

[0008] Preferably, the visit behavior recording unit acquires the user's gaze information in the interior view of the real estate in the virtual reality space and the operation information of the client terminal by the user, and the visit behavior recording unit specifies the user's movement route, the subject of the action, the staying time in each room, and the object of the zoom-in or zoom-out display based on the gaze information and the operation information.

[0009] Preferably, during the interior view of the real estate in the virtual reality space, the system further has a conclusion prediction unit that predicts the conclusion of the real estate transaction during the interior view based on the feature amount of the visit behavior recorded by the visit behavior recording unit and the learning model learned by the learning unit, and the proposal unit changes the proposal content during the interior view based on the conclusion prediction by the conclusion prediction unit.

[0010] Preferably, the system further has a housing equipment management unit that manages the housing equipment in association with the arrangement position of the housing equipment, and the conclusion prediction unit calculates the feature amount of the user's visit behavior via the client terminal with respect to the housing equipment managed by the housing equipment management unit.

[0011] Preferably, it further has a data import unit that imports data related to real estate from an external system, the contract prediction unit calculates the contract prediction of the real estate transaction during the inspection as a contract prediction value, and the proposal unit makes a proposal to the user using the data imported by the data import unit based on the contract prediction value calculated by the contract prediction unit.

[0012] Preferably, the inspection behavior recording unit determines whether the inspection behavior in the virtual reality space is a passive behavior taken in response to a proposal by the proposal unit or an active behavior by the user.

[0013] Preferably, it further has a display unit that visualizes and displays the inspection behavior of the user who has conducted the inspection recorded by the inspection behavior recording unit, and the display unit displays the contract prediction predicted by the contract prediction unit in association with the inspection behavior of the user who has conducted the inspection.

[0014] The real estate transaction contract support method according to the present invention includes an inspection behavior recording step in which a real estate transaction contract support device that supports the conclusion of a real estate transaction records the inspection behavior in the virtual reality space provided by the client terminal, a learning step in which the real estate transaction contract support device learns the feature amount of the inspection behavior recorded in the inspection behavior recording step and the evaluation information on the real estate as a data set, and a proposal step in which the real estate transaction contract support device makes a proposal regarding the real estate to the user based on the feature amount of the inspection behavior recorded in the inspection behavior recording step and the learning model learned in the learning step.

[0015] The program according to the present invention causes a computer to execute an inspection behavior recording step in which the inspection behavior in the virtual reality space provided by the client terminal is recorded, a learning step in which the feature amount of the inspection behavior recorded in the inspection behavior recording step and the evaluation information on the real estate are learned as a data set, and a proposal step in which a proposal regarding the real estate is made to the user based on the feature amount of the inspection behavior recorded in the inspection behavior recording step and the learning model learned in the learning step.

Effect of the Invention

[0016] According to the present invention, it is possible to make a proposal based on the user's visit behavior and increase the possibility of concluding a real estate transaction.

Brief Description of the Drawings

[0017]

Figure 1

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Figure 8

Mode for Carrying Out the Invention

[0018] First, the background of the present invention will be described. Even if a user visits a house that meets the conditions presented by the user and actually views the inside of the house, it does not necessarily lead to a conclusion. One of the reasons is that although the user's tendency in selecting a house has not been verbalized, there is a tendency, and since this tendency has not been manifested, one of the reasons is that a proposal suitable for the user has not been made. In the past, all inspections for those who wished to have an inspection were carried out. However, inspections were also carried out for users who had no prospect of concluding a contract, which was time-consuming and laborious for both the users and the inspection providers. In view of the above problems, the real estate transaction conclusion support system 1 of the present invention makes proposals based on the user's tour behavior during a virtual reality space housing inspection, that is, a VR inspection, leading to better choices that the user himself / herself cannot reach on his / her own and connecting to the conclusion of a housing transaction. In this example, "inspection" refers to an inspection in the real world, and "VR inspection" refers to an inspection in a virtual reality space. In addition, the real estate transaction conclusion support system 1 of the present invention can reduce the burden of providing inspections by filtering customers with a high conclusion rate and those without, and providing actual inspections.

[0019] FIG. 1 is a diagram illustrating the real estate transaction conclusion support system 1. In this example, in the real estate transaction conclusion support system 1, the conclusion support for a housing transaction, which is an example of a real estate transaction, will be described. The real estate transaction conclusion support system 1 includes a client terminal 3 operated by a user, a conclusion support device 5, and an analysis result display terminal 7. The client terminal 3 and the conclusion support device 5, and the conclusion support device 5 and the analysis result display terminal 7 are connected to each other via a network. The client terminal 3 is a computer terminal operated by the user. In this example, the client terminal 3 is a personal computer, and provides the user with a housing inspection in a virtual reality space through a display. The virtual reality space of the housing is provided by the conclusion support device 5. Also, the client terminal 3 may be a smartphone, a tablet terminal, or an HMD (Head-Mounted Display). The contract conclusion support device 5 is a computer terminal that acquires data on the user's actions in the virtual reality space provided by the client terminal 3, particularly the data related to the visit behavior, and based on this, makes a proposal to support the conclusion of a housing transaction. Specifically, the contract conclusion support device 5 performs machine learning on the acquired visit behavior of the user and the evaluation information on the housing, and based on this, makes a proposal to the user regarding the housing. The contract conclusion support device 5 is a cloud server. Note that the contract conclusion support device 5 is an example of the real estate transaction contract conclusion support device according to the present invention. Also, the contract conclusion support device 5 may be a server other than the cloud server, for example, a physical server. The analysis result display terminal 7 is a computer terminal that displays the analysis result of the user's visit behavior by the contract conclusion support device 5.

[0020] FIG. 2 is a diagram illustrating the hardware configuration of the contract conclusion support device 5. As illustrated in FIG. 2, the contract conclusion support device 5 includes a CPU 500, a GPU 502, an NPU 504, an HDD 506, a memory 508, a network interface 510 (network IF 510), a display device 512, and an input device 514, and these components are connected to each other via a bus 516. The CPU 500 is, for example, a central processing unit. The GPU 502 is, for example, a unit used to perform parallel arithmetic processing of data. The NPU 504 is, for example, a processor specialized for AI processing. The HDD 506 is, for example, a hard disk drive device, and stores computer programs and other data files as a non-volatile recording device. The memory 508 is, for example, a volatile memory and functions as a main memory device. The network IF 510 is an interface for communicating wired or wirelessly, and realizes communication with, for example, the client terminal 3 and the analysis result display terminal 7. The display device 512 is, for example, a liquid crystal display. The input device 514 is, for example, a keyboard and a mouse.

[0021] FIG. 3 is a diagram illustrating the functional configuration of the contract support apparatus 5. As illustrated in FIG. 3, a contract support program 52 is installed in the contract support apparatus 5, and a visit behavior database 600 (visit behavior DB 600) and an object database 610 (object DB 610) are configured. The contract support program 52 includes an operation reception unit 520, a visit behavior recording unit 522, a learning unit 524, a contract prediction unit 526, a proposal unit 528, a data import unit 530, and an analysis result display unit 532. The contract prediction unit 526 includes a feature amount calculation unit 5260 and a predicted value calculation unit 5262. Note that part or all of the contract support program 52 may be realized by hardware such as an ASIC. Further, the contract support program 52 may be uploaded to the contract support apparatus 5 via an arbitrary network. Furthermore, the contract support program 52 may be stored in a recording medium such as a CD-ROM, for example, and may be installed in the contract support apparatus 5 via this recording medium.

[0022] The operation reception unit 520 receives input information from the user to the client terminal 3. Specifically, the operation reception unit 520 receives an operation of the user via an input device (for example, a mouse, a touch screen) of the client terminal 3. Specifically, the operation reception unit 520 receives an operation related to a visit to a house by the user, for example, an operation of moving a room in the house to be visited or an operation of enlarging / reducing an object to be visited.

[0023] The visit behavior recording unit 522 acquires the behavior of the user in the virtual reality space from the client terminal 3. Specifically, the visit behavior recording unit 522 extracts operation information and line-of-sight information related to the visit behavior of the user via the client terminal 3 acquired by the operation reception unit 520. More specifically, the visit behavior recording unit 522 extracts operation information and line-of-sight information for the housing equipment managed by the object DB 610. Further, the visit behavior recording unit 522 specifies the line-of-sight direction and the housing equipment to be operated based on the housing equipment information, and specifies the details of the visit behavior. Here, the tour behavior obtained from the line-of-sight information includes the line-of-sight direction and the stop time of the line of sight, and the tour behavior obtained from the operation information includes the order of screen transitions (the movement route of the room), the stay time in each room, zoom-in or zoom-out display, buttons in the virtual reality space, and menu operations, switching operations of drawings or panoramic images, and rotation operations of panoramic images. In addition, the tour behavior recording unit 522 determines whether the user's behavior in the virtual reality space is a passive behavior or an active behavior according to the proposal of the contract support device 5. The tour behavior obtained by the tour behavior recording unit 522 is stored in the tour behavior DB 600.

[0024] The learning unit 524 constructs a learning model using the tour behavior obtained by the tour behavior recording unit 522 and the evaluation information on the house as a data set. The evaluation information includes at least the contract history of the house, and also includes the inquiry history about the house and complaints or opinions about the house. The contract prediction unit 526 predicts the conclusion of the house transaction during the VR inspection based on the tour behavior obtained by the tour behavior recording unit 522 and the learning model learned by the learning unit 524 during the inspection of the house in the virtual reality space. The feature quantity calculation unit 5260 calculates the feature quantity of the user's tour behavior in the virtual reality space. Specifically, the feature quantity calculation unit 5260 calculates the feature quantity of the tour behavior extracted by the tour behavior recording unit 522. More specifically, the feature quantity calculation unit 5260 calculates the feature quantity of the interaction between the user and the object of the house. In this example, the object of the house refers to house facilities. The predicted value calculation unit 5262 calculates a contract prediction value using the feature quantity calculated by the feature quantity calculation unit 5260 and outputs it, for example, in percentage. The proposal department 528 makes proposals regarding housing to the user based on the feature quantities of the on-site visit behavior acquired by the on-site visit behavior recording department 522 and the learning model learned by the learning department 524. Specifically, the proposal department 528 changes the proposal content during the in-VR on-site visit based on the conclusion prediction by the conclusion prediction department 526. More specifically, the proposal department 528 makes a proposal suitable for the user using the data imported by the data import department 530 based on the conclusion prediction value calculated by the conclusion prediction department 526. The data import department 530 imports data regarding housing from an external system. The data imported from the external system is, for example, information on the surrounding area of the housing, housing facility information, etc.

[0025] The analysis result display unit 532 displays the analysis result of the on-site visit behavior acquired by the on-site visit behavior recording unit 522 on the analysis result display terminal 7. Specifically, the analysis result display unit 532 visualizes and displays the on-site visit behavior of the user who has conducted the in-VR on-site visit. For example, the analysis result display unit 532 displays the on-site visit locations and the user's operations at the on-site visit locations in association with the passage of time. In addition, the analysis result display unit 532 displays the floor plan of the housing and the stay time in each room in association with each other, and at this time, the stay time is displayed by the size of the symbol. Thereby, it is possible to visually grasp the room with a long stay time.

[0026] FIG. 4 is a diagram illustrating the on-site visit behavior acquired by the on-site visit behavior recording unit 522 and displayed on the analysis result display terminal 7. As illustrated in FIG. 4, on the analysis result display terminal 7, the user's virtual reality original space tour behavior over time is displayed as a timeline. Also, the stay time in each room is displayed by the size of a figure (a circle in this example). Furthermore, the image of the stay location and the stay time are associated and displayed in descending order of the user's stay time. Then, these pieces of information and the contract prediction are associated and displayed. Since the analysis result of the tour behavior when taking a VR tour is visually displayed on one page, there is an advantage that it is easy to intuitively grasp the situation. Also, compared to the case where the provider of the tour actually analyzes the user's behavior and creates similar materials, the burden on the operator is significantly reduced.

[0027] FIG. 5 is a table illustrating the housing equipment table stored in the object DB 610. In the object DB 610, the housing equipment in the virtual reality space provided by the client terminal 3 is managed. As illustrated in FIG. 5, in the housing equipment table, a "housing ID" for identifying a house, a "housing equipment ID" for identifying housing equipment, "type of housing equipment", "location information" of the housing equipment in the virtual reality space, and an "appeal sentence" are managed in association with each other. Specifically, the housing equipment managed in the housing equipment table includes an air conditioner, a ventilation fan, a balcony door, a bathtub, a door, an electric breaker, a towel hanger, a controller, a mirror, a shelf, a sink, a power outlet, a staircase, storage, a stove, a switch, a toilet, a shower controller, a paper holder, a closet / cupboard, a window, and a washing machine placement area. Since the object DB 610 manages all the housing equipment of the house provided in the virtual reality space, it is possible to identify the housing equipment that is the target of the user's tour behavior and to grasp the details of the user's tour behavior.

[0028] FIG. 6 is a table illustrating the tour behavior table stored in the tour behavior DB 600. As illustrated in FIG. 6, the virtual tour action table stored in the virtual tour action DB 600 has a "residence ID", an "operation date and time", and a "virtual tour action content", which are associated with each other. The "residence ID" is information for identifying a residence. The "operation date and time" is the date and time when the user took a virtual tour action corresponding to the "operation content". The "virtual tour action content" is a virtual tour action taken by the user within the virtual reality space. The "virtual tour action content" records the operation information of the user in the virtual reality space. Specifically, the displayed panoramic video, the direction change data of the panoramic video, the zoom-in / zoom-out operation on the housing facilities, the selection operation by the user, the acceptance / rejection of the proposal, and the type of virtual tour action (active / passive) are recorded. The type of virtual tour action refers to, for example, whether the method of screen transition within the virtual reality space is a walkthrough, or a screen transition by active movement using additional information displayed within the virtual reality space, or a screen transition by passive movement by automatic guidance. In addition, the selection operation by the user refers to, for example, the opening and closing of the menu and the selection of the menu. In addition, the favorite registration operation, the inquiry content, and the inquiry means are recorded. Further, it is recorded whether or not the user has browsed the digest content of the skippable housing to the end. The digest content of the housing refers to, for example, the introduction text of the housing, the overview of the housing, the floor plan, and the indoor photos. In addition, based on these virtual tour action contents, for example, based on the passage of time and the direction conversion data of the panoramic video, it is possible to estimate how long the user has focused on the browsing target.

[0029] FIG. 7 is a flowchart for explaining the housing transaction conclusion support process (S10) by the real estate transaction conclusion support system 1. As illustrated in FIG. 7, in step 100 (S100), the contract support device 5 provides a VR interior view of a house to the client terminal 3. The visit behavior recording unit 522 extracts the visit behavior of the user who is viewing the VR interior in the virtual reality space from the operation information and the line-of-sight information via the client terminal 3. Specifically, the visit behavior recording unit 522 identifies the housing facilities that are the target of the user's visit behavior based on the housing facility information managed by the object DB 610, and the visit behavior recording unit 522 stores the extracted visit behavior in the visit behavior DB 600.

[0030] In step 105 (S105), the feature quantity calculation unit 5260 calculates the feature quantity of the interaction between the housing facilities and the user in the visit behavior. Specifically, the feature quantity calculation unit 5260 calculates the feature quantity of the visit behavior extracted by the visit behavior recording unit 522. In step 110 (S110), the contract prediction unit 526 calculates the contract prediction value of the house during the VR interior view by the user based on the learned learning model and the feature quantity of the user's visit behavior. In step 115 (S115), the proposal unit 528 makes a proposal suitable for the user based on the prediction value calculated by the contract prediction unit 526. Specifically, the proposal unit 528 makes a proposal using the data acquired from the external system captured by the data capture unit 530. In step 120 (S120), the analysis result display unit 532 visualizes the visit behavior acquired by the visit behavior recording unit 522 using a timeline, a graph, a photo, etc. and displays it on the analysis result display terminal 7.

[0031] FIG. 8 is a flowchart for explaining the proposal process (S20) based on the contract prediction value by the real estate transaction contract support system 1. As illustrated in FIG. 8, in step 200 (S200), the visit behavior recording unit 522 records the visit behavior of the user wearing the client terminal 3 in the virtual reality space, and the feature quantity calculation unit 5262 calculates the feature quantity of the visit behavior recorded by the visit behavior recording unit 522. In step 205 (S205), the contract prediction unit 526 calculates a contract prediction value for the user of the house being viewed in VR based on the feature amount of the visit behavior calculated by the feature amount calculation unit 5262 and the learning model pre-learned by the learning unit 524. In step 210 (S210), when the contract prediction value calculated by the contract prediction unit 526 is less than 25% (S210: Yes), the process proceeds to S215, and when the contract prediction value is 25% or more (S210: No), the process proceeds to S225. In step 215 (S215), the proposal unit 528 determines that the user's interest in the house being viewed in VR is low, and introduces the house according to a predetermined procedure (automatic guidance) in the VR viewing in the virtual reality space.

[0032] In step 220 (S220), the contract prediction unit 526 calculates a contract prediction value for the user of the house being viewed in VR after the house introduction based on the visit behavior collected by the visit behavior recording unit 522 and the learning model pre-learned by the learning unit 524. In step 225 (S225), when the contract prediction value calculated by the contract prediction unit 526 is less than 50% (S225: Yes), the process proceeds to S230, and when the contract prediction value is 50% or more (S225: No), the process proceeds to S235. In step 230 (S230), the proposal unit 528 introduces other houses to the user using the data imported by the data import unit 530 based on the user's visit behavior and the learning model. In step 235 (S235), when the contract prediction value calculated by the contract prediction unit 526 is less than 75% (S235: Yes), the process proceeds to S240, and when the contract prediction value is 75% or more (S235: No), the process proceeds to S245. In step 240 (S240), the proposal unit 528 determines that the user's interest in the house being viewed in VR in the virtual reality space is increasing, and proposes to register the favorite of the house being viewed in VR. In step 245 (S245), the proposal unit 528 determines that the user has a high interest in the house being viewed in the virtual reality space and a high possibility of reaching a contract, and proposes an inquiry to the house being viewed in the virtual reality space.

[0033] As described above, the real estate transaction contract support system 1 can support the user to make a better choice by proposing a house suitable for the user based on the user's viewing behavior in the virtual reality viewing and the constructed learning model. In addition, since the real estate transaction contract support system 1 manages the types and arrangements of the housing facilities in each room of the house, it can identify which housing facilities the user is paying attention to. In addition, the real estate transaction contract support system 1 conducts virtual reality viewing in the virtual reality space and calculates the contract prediction value of the housing transaction based on the behavior of the user being viewed in the virtual reality viewing. Therefore, it can make a proposal to increase the possibility of contract based on the contract prediction value and the user's tendency. Furthermore, the real estate transaction contract support system 1 is efficient because it conducts the viewing in the virtual reality space and guides the user with a high possibility of contract to make an inquiry about the house. And the real estate transaction contract support system 1 can be used as a business tool because it visually displays the analysis results of the viewing behavior and contract prediction of the user being viewed in the virtual reality viewing on the analysis result display terminal 7 using graphs, photos, and numbers.

[0034] In the above embodiment, the proposal is made using the data imported from the external system by the data import unit 530, but it is not limited thereto. For example, the proposal unit 528 may make a proposal to the user based on the data generated by the constructed learning model. Also, in the above embodiment, it records whether the user has viewed the digest content to the end, but it is not limited thereto. For example, it may record how far the user has viewed the digest content. Furthermore, although the housing facility information is managed by the object DB 610, for example, it may be managed by a file server in the form of a text file.

Explanation of symbols

[0035] 1… Real Estate Transaction Conclusion Support System 3… Client Terminal 5… Conclusion Support Device 7… Analysis Result Display Terminal 52… Conclusion Support Program

Claims

1. In a virtual reality space, a client terminal that provides a user with an interior view of a real estate property, and a real estate transaction conclusion support device that supports the conclusion of a real estate transaction based on the interior view provided by the client terminal having, The real estate transaction conclusion support device a visit behavior recording unit that records a visit behavior within the virtual reality space provided by the client terminal; a learning unit that learns, as a data set, a feature amount of the visit behavior recorded by the visit behavior recording unit and evaluation information on the real estate property; a proposal unit that makes a proposal to the user regarding the real estate property based on the feature amount of the visit behavior recorded by the visit behavior recording unit and the learning model learned by the learning unit A real estate transaction conclusion support system.

2. The visit behavior recording unit acquires the user's gaze information in the interior view of the real estate property in the virtual reality space and operation information of the client terminal by the user, The visit behavior recording unit identifies the user's movement route, the subject of the behavior, the staying time in each room, and the object of enlargement or reduction display based on the gaze information and the operation information. The real estate transaction conclusion support system according to Claim 1.

3. During the interior view of the real estate property in the virtual reality space, a conclusion prediction unit that predicts the conclusion of the real estate transaction during the interior view based on the feature amount of the visit behavior recorded by the visit behavior recording unit and the learning model learned by the learning unit further having, The proposal unit changes the proposal content during the interior view based on the conclusion prediction by the conclusion prediction unit. The real estate transaction conclusion support system according to Claim 1.

4. A housing equipment management unit that manages by associating housing equipment and the arrangement position of the housing equipment further having, The conclusion prediction unit calculates a feature amount of the user's visit behavior via the client terminal with respect to the housing equipment managed by the housing equipment management unit. The real estate transaction conclusion support system according to Claim 3.

5. A data import unit that imports data related to real estate from an external system further having, The conclusion prediction unit calculates the conclusion prediction of the real estate transaction during the interior view as a conclusion prediction value, The proposal unit makes a proposal to the user using the data imported by the data import unit based on the conclusion prediction value calculated by the conclusion prediction unit. The real estate transaction conclusion support system according to Claim 3.

6. The visit behavior recording unit determines whether the visit behavior in the virtual reality space is a passive behavior taken in response to a proposal by the proposal unit or an active behavior by the user. The real estate transaction conclusion support system according to claim 2.

7. A display unit that visualizes and displays the visit behavior of the user who has taken an interior tour, recorded by the visit behavior recording unit further comprising The display unit displays the conclusion prediction predicted by the conclusion prediction unit in association with the visit behavior of the user who has taken the interior tour. The real estate transaction conclusion support system according to claim 3.

8. A real estate transaction conclusion support method, wherein a real estate transaction conclusion support device has a visit behavior recording step of recording a visit behavior in a virtual reality space provided by a client terminal, a learning step in which the real estate transaction conclusion support device learns, as a data set, the feature amount of the visit behavior recorded in the visit behavior recording step and the evaluation information on the real estate, and a proposal step in which the real estate transaction conclusion support device makes a proposal regarding the real estate to the user based on the feature amount of the visit behavior recorded in the visit behavior recording step and the learning model learned in the learning step. The real estate transaction conclusion support method having

9. a visit behavior recording step of recording a visit behavior in a virtual reality space provided by a client terminal, a learning step of learning, as a data set, the feature amount of the visit behavior recorded in the visit behavior recording step and the evaluation information on the real estate in the visit behavior recording step, and a proposal step of making a proposal regarding the real estate to the user based on the feature amount of the visit behavior recorded in the visit behavior recording step and the learning model learned in the learning step. A program for causing a computer to execute

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