KR102439212B1 - System for providing online rental integrated service - Google Patents

Abstract

The present invention relates to a system for providing an integrated lease service online using a trained neural network. The system for providing an integrated lease service, according to the present invention, comprises: a plurality of broker terminals; a lessee terminal; an external server; and a central server. Accordingly, the present invention can actively induce a lease agreement between a lessor and a lessee.

Description

{SYSTEM FOR PROVIDING ONLINE RENTAL INTEGRATED SERVICE}

Embodiments of the present invention relate to a system for providing an integrated rental service on-line, and to a system for providing a service for providing a rental property to a lessee or connecting a broker.

Real estate means land and its fixtures, and is generally divided into land and buildings. These real estate agents perform brokerage services for the sale, exchange and lease of land and buildings by real estate agents. In real estate brokerage, when writing a lease contract, the lessor and lessee meet face-to-face with a real estate agent, fill out the contract, and stamp the process. In addition, the lessee who wants to sign a rental property visits an authorized brokerage office to check the conditions including the location of the property and the amount to be sold, and then the lease is made through a contract between the lessor and the lessee.

As such, since the conventional real estate transaction is conducted in an offline form, the lessee has to sell and move products directly for the purpose of renting, and it is difficult to obtain rental information in better conditions because the contract is made dependent on the registered real estate office. the current situation.

Embodiments of the present invention may provide an efficient rental agreement online by providing a rental integrated service through a lessee terminal.

The technical problems to be achieved in the embodiments are not limited to those mentioned above, and other technical problems not mentioned may be considered by those of ordinary skill in the art from various embodiments to be described below. can

A system for providing an integrated rental service according to embodiments includes: a plurality of intermediary terminals; tenant terminal; external server; and a central server, wherein the central server: receives a plurality of rental property information including the address of the property, lessor information and rental information from the plurality of broker terminals, and transmits the plurality of rental property information to the lessee terminal When any one of the plurality of rental property information is selected through the lessee terminal, the first detailed information including the lessor information and the actual property measurement information of the selected rental property is received through the external server, and the Calculate the sale reliability of the selected rental sale based on the rental sale information and the first detailed information of the selected rental sale, transmit the calculated sale reliability to the lessee terminal, and request to continue through the lessee terminal When received, the second detailed information including the environmental information for sale and the resident information related to the selected rental property is received through the external server, and based on the second detailed information, the predicted satisfaction of the tenant of the selected rental property is calculated And, when the calculated tenant prediction satisfaction is transmitted to the tenant terminal, and when a request to write a contract is received through the lessee terminal, a plurality of broker information brokering the selected rental property is received through the external server, Create a list of brokers in which the plurality of brokers information is arranged in the order of lower brokerage fees, and transmit the list of brokers to the lessee terminal together with the brokerage fee information of each of the brokers, and the same brokerage as the brokerage fee selected through the lessee terminal Receive broker detailed information including a contract sample of each of a plurality of brokers that broker the selected rental property as a fee through an external server, and based on the detailed information of each of the plurality of brokers, a broker for each of the plurality of brokers Calculating the reliability, it is possible to transmit the agent reliability and the contract sample for each of the plurality of brokers to the lessee terminal.

The lessor information includes real estate information owned by the lessor, tax payment information of the lessor, and real estate register information of the lessor, and the real estate register information includes the owner indicated in Gap and Eul-gu of the lessor's register, provisional registration, provisional seizure, foreclosure, Containing rental, mortgage, cheonsei right, superficies, easement rights, and maximum amount of bond information, the actual sale information includes the actual number of square meters of the selected rental for sale, and the central server is: The real estate information, the tax payment information, the real estate register information, and the real estate can be calculated based on the number of flats to calculate the reliability of the sale.

The central server classifies the recommended property using a property classification model based on the rental property information, the number of real estate owned by the lessor and the tax payment information, the real estate register information, and the measured square footage, and the sale The classification model includes an input layer, one or more hidden layers, and an output layer, and a plurality of training data pairs with rental listing information, the number of real estate owned by the lessor, tax payment information, real estate register information, measured square footage, and recommended sales are It is input to the input layer of the property classification model and passes through the one or more hidden layers and output layers to output an output vector, the output vector is input to a loss function layer connected to the output layer, and the loss function layer is the The loss value is output using a loss function that compares the output vector with the correct vector for each training data, and the parameter of the property classification model is learned in a direction in which the loss value becomes smaller,

[Equation 1]

The loss function follows Equation 1,

In Equation 1, n is the number of learning data for each class, y and j are identifiers indicating classes, C is a constant value, M is the number of classes, x_y is a probability value that the learning data belongs to class y, x_j is learning data is a probability value belonging to class j, and L may mean a loss value.

The central server: calculates the sale reliability by the following Equation 2,

[Equation 2]

In Equation 2, n is a natural number identifying the real estate owned by the lessor, k is a natural number identifying the real estate owned by the nth lessee, γ_k represents the sale price of the real estate owned by the lessor, and f_k is the It represents the total number of owners, provisional registration, provisional seizure, seizure, concession, mortgage, cheonsei right, superficies, easement, and maximum amount of bonds indicated in Gap-gu and Eul-gu of the lessor’s registered copy, T is the tax imposed by the lessor, t is the current time of the tax paid by the lessor, R may represent the number of pyeongs included in the rental property information of the selected rental for sale, and r may represent the actual number of pyeongs of the selected rental for sale.

The central server: When the calculated sale reliability is less than a preset threshold, transmits the dangerous sale information to the lessee terminal, and when the calculated sale reliability exceeds the preset threshold, the safe sale information to the lessee terminal can be transmitted

The property for sale environment information includes a completion year of the selected rental property, a remodeling history, and the number of convenience facilities within a preset distance of the selected rental property, and the resident information includes each of a plurality of tenants after the completion year of the selected rental property. of the residence period and the ratio of vacancy to the total room, and the central server is: Completion year of the selected rental property, the remodeling history, the number of convenience facilities, the residence period of each of the plurality of tenants, compared to the total room Based on the ratio of vacancy, it is possible to calculate the predicted satisfaction of the lessee.

The central server: Calculates the tenant prediction satisfaction by Equation 3 below,

[Equation 3]

In Equation 3, Predicted Tenant Satisfaction represents the satisfaction of the tenant predicted, r represents the remodeling history, α represents a coefficient related to the remodeling history, and T represents the total number of tenants previously residing in the selected rental property, n is a natural number identifying the residence period of the plurality of tenants, k is a natural number identifying the residence period of the n-th tenant, R _k is the k-th tenant's residence period, Y _c is the current year, Y _p is the selected Represents the completion year of the rental property, r _c represents the number of currently rented rooms, r _t represents the total number of rooms in the selected rental property, and f _d represents the number of convenience facilities within the preset distance.

The detailed information of the broker includes a brokerage career of each of the plurality of brokers, a size and a brokerage rating of a completed sale transaction, and the central server is: It is possible to calculate the broker reliability based on the.

The central server: Calculates the broker reliability by Equation 4 below,

[Equation 4]

In Equation 4, Broker Reliability represents the broker reliability, BE is the Brokerage Experience, n is a natural number identifying the completion of the sale transaction, and k is the nth natural number identifying the completion of the sale transaction. , BRk may indicate the scale of the real estate transaction completion case of the broker, and rating may indicate the brokerage rating of the sale transaction completion case.

According to embodiments, there is an effect of actively inducing a rental agreement between a lessor and a lessee by providing an integrated rental service online through a rental terminal.

Effects obtainable from the embodiments are not limited to the effects mentioned above, and other effects not mentioned are clearly derived and understood by those of ordinary skill in the art based on the following detailed description. can be

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as part of the detailed description to aid understanding of the embodiments, provide various embodiments and, together with the detailed description, explain technical features of the various embodiments.
1 is a diagram illustrating a configuration of an electronic device according to an exemplary embodiment.
2 is a diagram illustrating a configuration of a program according to an exemplary embodiment.
3 is a schematic diagram illustrating a system for providing a rental integration service according to an embodiment.
4 is a flowchart illustrating an example of an operation of a system for providing a rental aggregation service according to an embodiment.
5 is a flowchart illustrating an operation in which the central server calculates the reliability of a sale according to an embodiment.
6 is a flowchart illustrating an operation in which the central server calculates a tenant prediction satisfaction according to an embodiment.
7 is a flowchart illustrating an operation in which a central server generates a list of brokers according to an embodiment.
8 is a flowchart illustrating an operation in which the central server calculates the broker's reliability according to an embodiment.
9 is a view showing a list of items for sale displayed on the display of the lessee terminal according to an embodiment.
10 is a view showing information for sale displayed on the display of the lessee terminal according to an embodiment.

The following embodiments combine elements and features of the embodiments in a predetermined form. Each component or feature may be considered optional unless explicitly stated otherwise. Each component or feature may be implemented in a form that is not combined with other components or features. In addition, various embodiments may be configured by combining some components and/or features. The order of operations described in various embodiments may be changed. Some features or features of one embodiment may be included in another embodiment, or may be replaced with corresponding features or features of another embodiment.

In the description of the drawings, procedures or steps that may obscure the gist of various embodiments are not described, and procedures or steps that can be understood at the level of those of ordinary skill in the art are also not described. did.

Throughout the specification, when a part is said to "comprising or including" a certain component, it does not exclude other components unless otherwise stated, meaning that other components may be further included. do. In addition, terms such as "... unit", "... group", and "module" described in the specification mean a unit that processes at least one function or operation, which is hardware or software or a combination of hardware and software. can be implemented as Also, "a or an", "one", "the" and like related terms are used herein in the context of describing various embodiments (especially in the context of the claims that follow). Unless otherwise indicated or clearly contradicted by context, it may be used in a sense including both the singular and the plural.

Hereinafter, embodiments according to various embodiments will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION The detailed description set forth below in conjunction with the appended drawings is intended to describe exemplary embodiments of various embodiments, and is not intended to represent the only embodiments.

In addition, specific terms used in various embodiments are provided to help the understanding of various embodiments, and the use of these specific terms may be changed to other forms without departing from the technical spirit of various embodiments. .

1 is a diagram illustrating a configuration of an electronic device according to an exemplary embodiment.

1 is a block diagram of an electronic device 101 in a network environment 100, according to various embodiments. Referring to FIG. 1 , in a network environment 100 , an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or a second network 199 . It may communicate with at least one of the electronic device 104 and the server 108 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 . According to an embodiment, the electronic device 101 includes a processor 120 , a memory 130 , an input module 150 , a sound output module 155 , a display module 160 , an audio module 170 , and a sensor module ( 176), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or an antenna module 197 . In some embodiments, at least one of these components (eg, the connection terminal 178 ) may be omitted or one or more other components may be added to the electronic device 101 . In some embodiments, some of these components (eg, sensor module 176 , camera module 180 , or antenna module 197 ) are integrated into one component (eg, display module 160 ). can be The electronic device 101 may also be referred to as a client, a terminal, or a peer.

The processor 120, for example, executes software (eg, a program 140) to execute at least one other component (eg, a hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or operation, the processor 120 converts commands or data received from other components (eg, the sensor module 176 or the communication module 190 ) to the volatile memory 132 . may be stored in , process commands or data stored in the volatile memory 132 , and store the result data in the non-volatile memory 134 . According to an embodiment, the processor 120 is the main processor 121 (eg, a central processing unit or an application processor) or a secondary processor 123 (eg, a graphic processing unit, a neural network processing unit (eg, a graphic processing unit, a neural network processing unit) a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor). For example, when the electronic device 101 includes the main processor 121 and the sub-processor 123 , the sub-processor 123 uses less power than the main processor 121 or is set to be specialized for a specified function. can The auxiliary processor 123 may be implemented separately from or as a part of the main processor 121 .

The secondary processor 123 may, for example, act on behalf of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or when the main processor 121 is active (eg, executing an application). ), together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states. According to an embodiment, the coprocessor 123 (eg, an image signal processor or a communication processor) may be implemented as part of another functionally related component (eg, the camera module 180 or the communication module 190 ). have. According to an embodiment, the auxiliary processor 123 (eg, a neural network processing device) may include a hardware structure specialized for processing an artificial intelligence model. Artificial intelligence models can be created through machine learning. Such learning may be performed, for example, in the electronic device 101 itself on which the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 108). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but in the above example not limited The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the above example. The artificial intelligence model may include, in addition to, or alternatively, a software structure in addition to the hardware structure.

The memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176 ) of the electronic device 101 . The data may include, for example, input data or output data for software (eg, the program 140 ) and instructions related thereto. The memory 130 may include a volatile memory 132 or a non-volatile memory 134 .

The program 140 may be stored as software in the memory 130 , and may include, for example, an operating system 142 , middleware 144 , or an application 146 .

The input module 150 may receive a command or data to be used by a component (eg, the processor 120 ) of the electronic device 101 from the outside (eg, a user) of the electronic device 101 . The input module 150 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).

The sound output module 155 may output a sound signal to the outside of the electronic device 101 . The sound output module 155 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from or as part of the speaker.

The display module 160 may visually provide information to the outside (eg, a user) of the electronic device 101 . The display module 160 may include, for example, a control circuit for controlling a display, a hologram device, or a projector and a corresponding device. According to an embodiment, the display module 160 may include a touch sensor configured to sense a touch or a pressure sensor configured to measure the intensity of a force generated by the touch.

The audio module 170 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 170 acquires a sound through the input module 150 , or an external electronic device (eg, a sound output module 155 ) connected directly or wirelessly with the electronic device 101 . The electronic device 102) (eg, a speaker or headphones) may output a sound.

The sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the sensed state. can do. According to an embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.

The interface 177 may support one or more specified protocols that may be used by the electronic device 101 to directly or wirelessly connect with an external electronic device (eg, the electronic device 102 ). According to an embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 can be physically connected to an external electronic device (eg, the electronic device 102 ). According to an embodiment, the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 179 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic sense. According to an embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 may capture still images and moving images. According to an embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 may manage power supplied to the electronic device 101 . According to an embodiment, the power management module 188 may be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

The battery 189 may supply power to at least one component of the electronic device 101 . According to one embodiment, battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). It can support establishment and communication performance through the established communication channel. The communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a short-range communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg, : It may include a local area network (LAN) communication module, or a power line communication module). A corresponding communication module among these communication modules is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (eg, a telecommunication network such as a LAN or a WAN). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented as a plurality of components (eg, multiple chips) separate from each other. The wireless communication module 192 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199 . The electronic device 101 may be identified or authenticated.

The wireless communication module 192 may support a 5G network after a 4G network and a next-generation communication technology, for example, a new radio access technology (NR). NR access technology includes high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and access to multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency) -latency communications)). The wireless communication module 192 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example. The wireless communication module 192 uses various techniques for securing performance in a high-frequency band, for example, beamforming, massive multiple-input and multiple-output (MIMO), all-dimensional multiplexing. It may support technologies such as full dimensional MIMO (FD-MIMO), an array antenna, analog beam-forming, or a large scale antenna. The wireless communication module 192 may support various requirements defined in the electronic device 101 , an external electronic device (eg, the electronic device 104 ), or a network system (eg, the second network 199 ). According to an embodiment, the wireless communication module 192 may include a peak data rate (eg, 20 Gbps or more) for realizing eMBB, loss coverage (eg, 164 dB or less) for realizing mMTC, or U-plane latency for realizing URLLC ( Example: Downlink (DL) and uplink (UL) each 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 197 may transmit or receive a signal or power to the outside (eg, an external electronic device). According to an embodiment, the antenna module 197 may include an antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern. According to an embodiment, the antenna module 197 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network such as the first network 198 or the second network 199 is connected from the plurality of antennas by, for example, the communication module 190 . can be selected. A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) other than the radiator may be additionally formed as a part of the antenna module 197 .

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module comprises a printed circuit board, an RFIC disposed on or adjacent to a first side (eg, bottom side) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, an array antenna) disposed on or adjacent to a second side (eg, top or side) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and a signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, the command or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 . Each of the external electronic devices 102 or 104 may be the same as or different from the electronic device 101 . According to an embodiment, all or a part of operations executed in the electronic device 101 may be executed in one or more external electronic devices 102 , 104 , or 108 . For example, when the electronic device 101 needs to perform a function or service automatically or in response to a request from a user or other device, the electronic device 101 may perform the function or service itself instead of executing the function or service itself. Alternatively or additionally, one or more external electronic devices may be requested to perform at least a part of the function or the service. One or more external electronic devices that have received the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit a result of the execution to the electronic device 101 . The electronic device 101 may process the result as it is or additionally and provide it as at least a part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an Internet of things (IoT) device. The server 108 may be an intelligent server using machine learning and/or neural networks. According to an embodiment, the external electronic device 104 or the server 108 may be included in the second network 199 . The electronic device 101 may be applied to an intelligent service (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

The server 108 is connected to the electronic device 101 and may provide a service to the connected electronic device 101 . In addition, the server 108 may store and manage various types of information of users who have joined as members by performing a membership registration procedure, and may provide various purchase and payment functions related to services. Also, the server 108 may share execution data of a service application executed in each of the plurality of electronic devices 101 in real time so that the service can be shared among users. The server 108 may have the same configuration as a typical web server (Web Server) or WAP server (WAP Server) in terms of hardware. However, in terms of software, it may include a program module that is implemented through any language such as C, C++, Java, Visual Basic, or Visual C and performs various functions. In addition, the server 108 is generally connected to an unspecified number of clients and/or other servers through an open computer network such as the Internet, receives a request to perform a task from a client or other server, and derives and provides the work result. It means a computer system and the computer software (server program) installed therefor. In addition, the server 108, in addition to the above-described server program, a series of application programs (Application Program) operating on the server 108 and in some cases, various databases (DB: Database, hereinafter " DB") should be understood as a broad concept including. Accordingly, the server 108 classifies, stores and manages member registration information, various information and data about the game in a DB, and this DB may be implemented inside or outside the server 108 . In addition, the server 108 uses a server program that is provided in various ways according to operating systems such as DOS, Windows, Linux, UNIX, and Macintosh in general server hardware. As a representative example, a website used in a Windows environment, Internet Information Server (IIS), and CERN, NCSA, APPACH, etc. used in a Unix environment may be used. In addition, the server 108 may cooperate with an authentication system and a payment system for user authentication of a service or a purchase payment related to a service.

The first network 198 and the second network 199 are a connection structure capable of exchanging information between respective nodes such as terminals and servers, or a network connecting the server 108 and the electronic devices 101 and 104 . (Network). The first network 198 and the second network 199 are Internet (Internet), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), 3G , 4G, LTE, 5G, Wi-Fi, and the like. The first network 198 and the second network 199 may be the closed first network 198 and the second network 199 such as a LAN or a WAN, but preferably an open type such as the Internet. The Internet is a TCP/IP protocol and several services existing in its upper layers, namely HTTP (HyperText Transfer Protocol), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), SNMP ( Simple Network Management Protocol), NFS (Network File Service), and NIS (Network Information Service) means a worldwide open computer first network 198 and second network 199 structure.

The database may have a general data structure implemented in a storage space (hard disk or memory) of a computer system using a database management program (DBMS). The database may have a data storage form in which data can be freely searched (extracted), deleted, edited, added, and the like. Database is a relational database management system (RDBMS) such as Oracle, Infomix, Sybase, DB2, or object-oriented database management such as Gemston, Orion, O2, etc. It can be implemented for the purpose of an embodiment of the present disclosure by using a system (OODBMS) and an XML-only database (XML Native Database) such as Excelon, Tamino, and Sekaiju, and its function It may have an appropriate field or elements to achieve .

2 is a diagram illustrating a configuration of a program according to an exemplary embodiment.

2 is a block diagram 200 illustrating a program 140 in accordance with various embodiments. According to an embodiment, the program 140 executes an operating system 142 , middleware 144 , or an application 146 executable in the operating system 142 for controlling one or more resources of the electronic device 101 . may include Operating system 142 may include, for example, Android™, iOS™, Windows™, Symbian™, Tizen™, or Bada™. At least some of the programs 140 are, for example, preloaded into the electronic device 101 at the time of manufacture, or an external electronic device (eg, the electronic device 102 or 104 ), or a server (eg, the electronic device 102 or 104 ) when used by a user ( 108)), or may be updated. All or part of the program 140 may include a neural network.

The operating system 142 may control management (eg, allocation or retrieval) of one or more system resources (eg, a process, memory, or power) of the electronic device 101 . The operating system 142 may additionally or alternatively include other hardware devices of the electronic device 101 , for example, the input module 150 , the sound output module 155 , the display module 160 , and the audio module 170 . , sensor module 176 , interface 177 , haptic module 179 , camera module 180 , power management module 188 , battery 189 , communication module 190 , subscriber identification module 196 , or It may include one or more driver programs for driving the antenna module 197 .

The middleware 144 may provide various functions to the application 146 so that functions or information provided from one or more resources of the electronic device 101 may be used by the application 146 . The middleware 144 includes, for example, an application manager 201 , a window manager 203 , a multimedia manager 205 , a resource manager 207 , a power manager 209 , a database manager 211 , and a package manager 213 . ), a connectivity manager 215 , a notification manager 217 , a location manager 219 , a graphics manager 221 , a security manager 223 , a call manager 225 , or a voice recognition manager 227 . can

The application manager 201 may manage the life cycle of the application 146 , for example. The window manager 203 may manage one or more GUI resources used in the screen, for example. The multimedia manager 205, for example, identifies one or more formats required for playback of media files, and encodes or decodes a corresponding media file among the media files using a codec suitable for the selected format. can be done The resource manager 207 may manage the space of the source code of the application 146 or the memory of the memory 130 , for example. The power manager 209 may, for example, manage the capacity, temperature, or power of the battery 189 , and determine or provide related information required for the operation of the electronic device 101 by using the corresponding information. . According to an embodiment, the power manager 209 may interwork with a basic input/output system (BIOS) (not shown) of the electronic device 101 .

The database manager 211 may create, retrieve, or change a database to be used by the application 146 , for example. The package manager 213 may manage installation or update of an application distributed in the form of a package file, for example. The connectivity manager 215 may manage, for example, a wireless connection or a direct connection between the electronic device 101 and an external electronic device. The notification manager 217 may provide, for example, a function for notifying the user of the occurrence of a specified event (eg, an incoming call, a message, or an alarm). The location manager 219 may manage location information of the electronic device 101 , for example. The graphic manager 221 may manage, for example, one or more graphic effects to be provided to a user or a user interface related thereto.

Security manager 223 may provide, for example, system security or user authentication. The telephony manager 225 may manage, for example, a voice call function or a video call function provided by the electronic device 101 . The voice recognition manager 227, for example, transmits the user's voice data to the server 108, and based at least in part on the voice data, a command corresponding to a function to be performed in the electronic device 101; Alternatively, the converted text data may be received from the server 108 based at least in part on the voice data. According to an embodiment, the middleware 244 may dynamically delete some existing components or add new components. According to an embodiment, at least a portion of the middleware 144 may be included as a part of the operating system 142 or implemented as software separate from the operating system 142 .

Application 146 includes, for example, home 251 , dialer 253 , SMS/MMS 255 , instant message (IM) 257 , browser 259 , camera 261 , alarm 263 . , contacts 265, voice recognition 267, email 269, calendar 271, media player 273, album 275, watch 277, health 279 (such as exercise or blood sugar) measuring biometric information), or environmental information 281 (eg, measuring atmospheric pressure, humidity, or temperature information). According to an embodiment, the application 146 may further include an information exchange application (not shown) capable of supporting information exchange between the electronic device 101 and an external electronic device. The information exchange application may include, for example, a notification relay application configured to transmit specified information (eg, call, message, or alarm) to an external electronic device, or a device management application configured to manage the external electronic device. have. The notification relay application, for example, transmits notification information corresponding to a specified event (eg, mail reception) generated in another application (eg, the email application 269 ) of the electronic device 101 to the external electronic device. can Additionally or alternatively, the notification relay application may receive notification information from the external electronic device and provide it to the user of the electronic device 101 .

The device management application is, for example, a power source (eg, turn-on or turn-off) of an external electronic device that communicates with the electronic device 101 or some components thereof (eg, a display module or a camera module of the external electronic device). ) or a function (eg brightness, resolution, or focus). The device management application may additionally or alternatively support installation, deletion, or update of an application operating in an external electronic device.

Throughout this specification, a neural network, a neural network network, and a network function may be used interchangeably. A neural network may be composed of a set of interconnected computational units, which may generally be referred to as “nodes”. These “nodes” may also be referred to as “neurons”. A neural network is configured to include at least two or more nodes. Nodes (or neurons) constituting neural networks may be interconnected by one or more “links”.

In a neural network, two or more nodes connected through a link may relatively form a relationship between an input node and an output node. The concepts of an input node and an output node are relative, and any node in an output node relationship with respect to one node may be in an input node relationship in a relationship with another node, and vice versa. As described above, an input node to output node relationship may be created around a link. One or more output nodes may be connected to one input node through a link, and vice versa.

In the relationship between the input node and the output node connected through one link, the value of the output node may be determined based on data input to the input node. Here, a node interconnecting the input node and the output node may have a weight. The weight may be variable, and may be changed by a user or an algorithm in order for the neural network to perform a desired function. For example, when one or more input nodes are interconnected to one output node by respective links, the output node sets values input to input nodes connected to the output node and links corresponding to the respective input nodes. An output node value may be determined based on the weight.

As described above, in a neural network, two or more nodes are interconnected through one or more links to form an input node and an output node relationship within the neural network. The characteristics of the neural network may be determined according to the number of nodes and links in the neural network, the correlation between the nodes and the links, and the value of a weight assigned to each of the links. For example, when the same number of nodes and links exist and there are two neural network networks having different weight values between the links, the two neural network networks may be recognized as different from each other.

3 is a schematic diagram illustrating a system for providing a rental integration service according to an embodiment.

According to an embodiment, the system 300 for providing a rental consolidation service includes a central server 310 , a database 311 , a network 320 (eg, the second network 199 of FIG. 1 ), one or more electronic devices. The devices 330 and 340 (eg, the electronic device 100 of FIG. 1 ) and an external server 350 may be included. Here, the one or more electronic devices 330 and 340 may include a plurality of broker terminals 330 and lessee terminals 340 . The plurality of broker terminals 330 and lessee terminals 340 may refer to electronic devices used by certified real estate agents and lessees, respectively.

A plurality of intermediary terminal 330 and the lessee terminal 340 interworking with the central server 310 may be installed with software for accessing the central server 310 . Software may be referred to as an application. The software may perform various operations to remotely receive a lease integration service linked to the central server 310 . Hereinafter, communication for the central server 310 is assumed to be performed through the software installed in the plurality of broker terminals 330 and the lessee terminal 340 .

The lessee may check the rental property information through the software installed in the lessee terminal 340 . For example, the rental property information may include monthly rent and deposit information when the rental property is monthly rent, and may include Jeonse money information when the rental property is Jeonse. In addition, the rental property information may include information on the area, floor, structure, parking availability, elevator presence, and management fee information of the rental property.

The lessee may set the conditions of the property to be found through the lessee terminal 340 . Conditions for sale may include a range of monthly rent, jeonse, deposit, and the like. The central server 310 may create a list for sale that satisfies the conditions of the sale, and transmit the generated list for sale to the lessee terminal 340 .

4 is a flowchart illustrating an example of an operation of a system for providing a rental aggregation service according to an embodiment.

According to one embodiment, in operation (S401), the central server 310 may receive a plurality of rental property information from a plurality of broker terminals 330. The plurality of rental properties may include an address, lessor information, and rental information.

In operation (S402), the central server 310 may transmit the plurality of rental property information to the lessee terminal 340.

In operation (S403), the lessee may select any one of the rental properties of interest among the plurality of rental properties displayed on the display of the lessee terminal (340). When the lessee selects a rental property, the lessee terminal 340 may transmit rental property selection information to the central server 310 .

In operation (S404), the central server 310 when any one of the plurality of rental property information is selected through the lessee terminal 340, the first detailed information of the selected rental property to the external server 350 can be received through Here, the first detailed information of the selected rental for sale may include lessor information and actual measurement information for sale.

In operation S405, the central server 310 may calculate the sale reliability of the selected rental sale based on the rental information and the first detailed information of the selected rental sale. Here, a method by which the central server 310 calculates the sale reliability of the selected rental sale will be described in detail later in FIG. 5 .

In operation (S406), the central server 310 may transmit the calculated reliability for sale to the lessee terminal (340).

In operation (S407), the lessee may select a view to continue or another sale displayed on the display of the lessee terminal (340). When the lessee wants to read more information on the selected article with reference to the reliability of the article, it may request to continue through the lessee terminal 340 . In this case, the lessee terminal 340 may transmit a request to proceed to the central server 310 .

In operation (S408), the central server 310, when receiving a request to continue through the lessee terminal 340, requests the second detailed information to the external server 350, the second detailed information It can be received through the external server (350). The second detailed information may include environment information for sale and resident information related to the selected rental property.

In operation S409, the central server 310 may calculate the predicted satisfaction of the lessee of the selected rental sale based on the second detailed information. A method for the central server 310 to calculate the tenant prediction satisfaction will be described in detail later in FIG. 6 .

In operation (S410), the central server 310 may transmit the calculated tenant prediction satisfaction to the tenant terminal (340).

In operation (S411), the lessee may choose to write a contract displayed on the display of the lessee terminal (340). In this case, the lessee terminal 340 may transmit a contract writing request to the central server 310 .

In operation (S412), when the central server 310 receives a request to write a contract through the lessee terminal 340, it requests a plurality of broker information brokering the selected rental property to the external server 350, and the A plurality of intermediary information may be received. Here, the plurality of broker information includes information about a plurality of real estate agents, and may include the name, age, gender, and brokerage fee information of each of the real estate agents. The brokerage fee information is a brokerage fee set by each accredited realtor, and may have a different value for each accredited realtor.

In operation S413, the central server 310 may generate a list of brokers in which the plurality of broker information is arranged in the order of the lowest brokerage fee. The broker list may be composed of real estate agents who broker the selected rental property. In addition, it may include brokerage fee information for each certified real estate agent.

In operation (S414), the central server 310 may transmit the list of brokers to the lessee terminal 340 together with each brokerage fee information.

In operation (S415), the lessee may select any one brokerage fee from among a plurality of brokerage commission information displayed on the display of the lessee terminal (340). In this case, the lessee terminal 340 may transmit the selected brokerage fee to the central server 310 .

In operation (S416), when the central server 310 receives the selected brokerage fee through the lessee terminal 340, a plurality of brokers that broker the selected rental property with the same brokerage fee as the selected brokerage fee Each contract It is possible to request the detailed information of the brokers including the sample from the external server 350 , and receive detailed information about the brokers of each of the plurality of brokers from the external server 350 .

In operation S417, the central server 310 may calculate the broker reliability for each of the plurality of brokers based on the detailed information of the brokers of each of the plurality of brokers. Here, a method by which the central server 310 calculates the broker reliability for each of the plurality of brokers will be described in detail later with reference to FIG. 8 .

In operation (S418), the central server 310 may transmit the broker reliability and contract sample for each of the plurality of brokers to the lessee terminal (340).

In operation (S419), the lessee may select any one of the plurality of brokers by referring to the broker reliability and contract sample for each of the plurality of brokers displayed on the display of the lessee terminal 340. The lessee terminal 340 may transmit the selected broker information to the central server 310 .

5 is a flowchart illustrating an operation in which the central server calculates the reliability of a sale according to an embodiment.

According to one embodiment, in operation (S501), the central server 310 may receive a plurality of rental property information including the address of the property, lessor information, and rental information from the plurality of broker terminals 330. The lessor information may include personal information of the lessor. The personal information of the lessor may include the name, age, contact information and resident registration number of the lessor. The rental information may include monthly rent, jeonse money, or deposit information depending on the type of rental property.

In operation (S502), the central server 310 may transmit the plurality of rental property information to the lessee terminal 340. The lessee may set the conditions of the rental property through the lessee terminal 340 . The lessee terminal 340 may display the plurality of rental property information on the display according to the conditions of the rental property set by the lessee.

In operation (S503), the central server 310, when any one of the plurality of rental property information is selected through the lessee terminal 340, the first including the lessor information and the actual property measurement information of the selected rental property Detailed information may be received through the external server 350 .

In addition, the lessor information of the selected rental for sale received through the external server 350 may include a registered copy of the address of the selected rental for sale. Here, the central server 310 compares the lessor information included in the plurality of rental property information received from the plurality of brokerage terminals 330 with the registered copy information received through the external server 350, the lessor information It can be determined whether or not is false.

It may be determined whether the selected rental property information among the plurality of rental property information received from the broker terminal 330 matches.

In addition, the lessor information may include information on real estate owned by the lessor, information on payment of taxes by the lessor, and information on the real estate register of the lessor. The real estate register information may include information on the owner, provisional registration, provisional seizure, foreclosure, concession, mortgage, cheonsei right, superficies, easement rights, and the maximum amount of claims indicated in Gap and Eul-gu of the registered copy of the lessor's register. In addition, the actual measurement information for sale may include the number of actual measurement of the selected rental for sale.

In another embodiment, the real estate measurement information may include 3D image information photographed at the address of the selected item for sale. The central server 310 may analyze the three-dimensional image to calculate the actual number of units for sale (eg, the number of units for sale).

In operation S504, the central server 310 may calculate the sale reliability of the selected rental sale based on the rental information and the first detailed information of the selected rental sale.

In another embodiment, the central server classifies the recommended property using a property classification model based on the rental property information, the number of real estate owned by the lessor and the tax payment information, the real estate registry information, and the actual number of flats And, the property classification model includes an input layer, one or more hidden layers and an output layer, and a plurality of pairs of rental property information, the number of real estate owned by the lessor, tax payment information, real estate register information, measured square footage and recommended properties The training data of is input to the input layer of the property classification model and passes through the one or more hidden layers and output layers to output an output vector, and the output vector is input to a loss function layer connected to the output layer, and the loss The function layer outputs a loss value by using a loss function that compares the output vector with a correct vector for each training data, and the parameter of the property classification model may be learned in a direction in which the loss value decreases.

[Equation 1]

The loss function follows Equation 1, where n is the number of training data for each class, y and j are identifiers representing classes, C is a constant value, M is the number of classes, and x_y is the number of training data is a probability value belonging to class y, x_j is a probability value that the training data belongs to class j, and L may mean a loss value.

In one embodiment, the central server 310 may calculate the sale reliability based on the rental sale information of the selected rental sale, real estate information owned by the lessor, the tax payment information, the real estate register information, and the actual number of flats. . The information on the real estate owned by the lessor may include a sale price of the real estate owned by the lessor. In addition, the tax payment information may include a tax imposed on the lessor and a tax paid by the lessor at a current time. In addition, the rental sale information of the selected rental sale may include the number of flats for sale.

The central server 310 may calculate the reliability of the property by Equation 2 below.

[Equation 2]

는 상기 임대인의 상기 소유 부동산의 매매 가격을 나타내고,

은 상기 임대인의 등기부 등본의 갑구 및 을구에 표시된 소유권자, 가등기, 가압류, 압류, 경대, 저당권, 전세권, 지상권, 지역권의 개수 및 채권최고액의 총합을 나타내고, T는 상기 임대인의 부과된 세금, t는 현재 시각의 상기 임대인의 납부된 세금, R은 상기 선택된 임대 매물의 임대 매물 정보에 포함된 매물 평수, r은 상기 선택된 임대 매물의 실측 평수를 나타낼 수 있다.In Equation 2, n is a natural number identifying the real estate owned by the lessor, k is a natural number identifying the real estate owned by the nth lessee,

represents the sale price of the real estate owned by the lessor,

represents the total number of owners, provisional documents, provisional seizures, seizures, concessions, mortgages, cheonsei rights, superficies, easements, and the maximum amount of receivables indicated in Gap-gu and Eul-gu of the registered copy of the lessor, T is the tax imposed by the lessor, t is The tax paid by the lessor at the current time, R may represent the number of acres for sale included in the rental information for the selected rental for sale, and r may indicate the actual number of acres for the selected rental for sale.

The central server 310 may calculate the exact degree of risk of the rental property selected by the lessee terminal 340 by considering the right holder and the maximum amount of receivables existing in each registered copy for each real estate owned by the lessor. That is, the present invention can allow the lessee to safely select the rental property by calculating the reliability of the property by reflecting the economic situation of the owner as well as the rental property. In addition, the present invention can reflect the morality and law-abiding spirit of the lessor by calculating the property reliability by referring to the lessor's tax payment history, and the expected behavior of the lessor when the lessee leases the selected property in the future to the property reliability can reflect Through this, the present invention can provide more reliable information for sale to the lessee, and establish a correct rental culture. In addition, the central server 310 considers the difference between the actual number of rentals for sale and the actual number of rentals for sale provided through the broker, and calculates lower reliability for the sale as the difference is larger, thereby preventing false sales with exaggerated information on the sale. have.

In operation (S505), the central server 310 may transmit the calculated reliability for sale to the lessee terminal (340). Here, the central server transmits the dangerous property information to the lessee terminal 340 when the calculated sale reliability is less than or equal to a preset threshold, and when the calculated sale reliability exceeds a preset threshold, the lessee terminal ( 340) to transmit safe sale information. The lessee may refer to the dangerous sale information or the safe sale information through the lessee terminal 340 , and select Continue or another view for sale displayed on the lessee terminal 340 .

As such, the central server 310 provides the dangerous property information or the safe property information to the lessee terminal 340, so that the lessee can intuitively grasp the reliability of the property. The present invention can improve the convenience of the lessee in the lease contract by providing the lessee with more accurate information for sale on the rental property and allowing the lessee to select a reliable property without checking the properties individually. In addition, the present invention can increase the size of the rental agreement market by activating secure rental agreements.

6 is a flowchart illustrating an operation in which the central server calculates a tenant prediction satisfaction according to an embodiment.

According to one embodiment, in operation (S601), the central server 310, when receiving a request to continue through the lessee terminal 340, including the sale environment information and resident information related to the selected rental sale The second detailed information may be received through the external server 350 . Here, the property for sale environment information may include a completion year of the selected rental property, a remodeling history, and the number of convenience facilities within a preset distance of the selected rental property.

In addition, the resident information may include a residence period of each of a plurality of tenants after the completion year of the selected rental property and a ratio of vacancy to the total room.

In operation S602, the central server 310 may calculate the predicted satisfaction of the lessee of the selected rental sale based on the second detailed information. Specifically, the central server 310 is the tenant prediction satisfaction based on the completion year of the selected rental property, the remodeling history, the number of convenience facilities, the residence period of each of the plurality of tenants, and the ratio of vacancy to the total room can be calculated.

Specifically, the central server 310 may calculate the satisfaction predicted by the lessee by Equation 3 below.

[Equation 3]

In Equation 3, Predicted Tenant Satisfaction represents the satisfaction of the tenant predicted, r represents the remodeling history, α represents a coefficient related to the remodeling history, and T represents the total number of tenants previously residing in the selected rental property, n is a natural number identifying the residence period of the plurality of tenants, k is a natural number identifying the residence period of the n-th tenant, R _k is the k-th tenant's residence period, Yc is the current year, Yp is the selected rental property may represent a year of completion, r _c may represent the number of currently rented rooms, r _t may represent the total number of rooms in the selected rental property, and f _d may represent the number of convenience facilities within the preset distance. Here, the preset distance may be set differently to a radius of 1 km, 2 km, or 3 km.

The central server 310 may more accurately determine the year of the rental for sale in consideration of the remodeling history as well as the completion year of the selected rental for sale in calculating the satisfaction of the predicted tenant. When the central server 310 considers only the period from the year of completion to the current year, the predicted satisfaction of the lessee for the recently remodeled property may be different from the satisfaction of the lessee who actually resides in the corresponding property.

In addition, the period of residence of the lessees who have previously lived may correspond to a factor that substantially reflects the satisfaction of actual residents with the selected rental property. In contrast, the central server 310 may more accurately predict the satisfaction of the actual tenant by considering the average residence period of the tenants who have previously lived together as a calculation factor of the predicted satisfaction of the tenant. In addition, the factors that represent the satisfaction of the tenants are diverse, and it takes effort and effort of the person who wants to collect them in order to collect numerous factors. The present invention can provide a quick and accurate tenant prediction satisfaction to the tenant by considering the average residence period of the tenants who have previously lived, which substantially represents the satisfaction of the tenants, as a factor for calculating the tenant prediction satisfaction. Since the lessee can rent the rental property in consideration of the tenant's predicted satisfaction level, the lessee can rent the property with relatively high satisfaction during actual residence. In a lease contract, if the lessee terminates the lease without fulfilling the contract period, both the lessee and the lessor suffer damages. That is, the present invention can promote the interests of the lessor and the lessee by helping the lessee to rent a property with relatively high satisfaction.

In addition, the central server 310 may consider the vacancy rate of the selected rental property in calculating the satisfaction predicted by the tenant. Through this, the central server 310 may reflect the popularity of the selected rental for sale in the predicted satisfaction of the lessee. When it comes to rental agreements, a good property is that the lessee will proceed with the rental agreement in no time. Accordingly, the central server 310 may reflect the realistic popularity of the selected rental for sale in the actual satisfaction of the tenant prediction by considering the vacancy rate of the selected rental sale. Through this, the present invention can provide the tenant with a high satisfaction living life after the lease agreement.

In operation (S603), the central server 310 may transmit the calculated tenant prediction satisfaction to the lessee terminal (340). The predicted satisfaction of the lessee may be expressed as a predicted satisfaction score or grade.

7 is a flowchart illustrating an operation in which a central server generates a list of brokers according to an embodiment.

According to one embodiment, in operation (S701), the central server 310, when receiving a request to write a contract through the lessee terminal 340, a plurality of broker information brokering the selected rental property to the external server It can be received via 350 .

In operation S702, the central server 310 may generate a list of brokers in which the plurality of broker information is arranged in the order of the lowest brokerage fee.

In operation (S703), the central server 310 may transmit the list of brokers to the lessee terminal 340 together with the brokerage fee information of each of the brokers. The lessee must pay the brokerage fee to the real estate agent when signing the lease contract with the lessor. At this time, real estate agents may broker the property for the same property at different brokerage fees. Offline, the lessee may not have the opportunity to encounter real estate agents who broker with different brokerage fees. In addition, it is not possible to access all real estate agents who broker for the same property. In contrast, the present invention provides a list of brokers sorted in the order of the lowest brokerage fee to the lessee terminal 340 together with the brokerage fee information, so that the lessee concludes a rental contract with a lower brokerage fee for the same property. Through this, the present invention can allow the lessee to rent the property at a more reasonable cost.

8 is a flowchart illustrating an operation in which the central server calculates the broker's reliability according to an embodiment.

According to one embodiment, in operation (S801), the central server 310 includes a contract sample of each of a plurality of brokers brokering the selected rental property at the same brokerage fee as the brokerage fee selected through the lessee terminal 340 It is possible to receive the broker detailed information through the external server (350). Here, the central server 310 may receive, before performing the operation (S801), the selection brokerage fee information indicating the brokerage fee information selected by the lessee from the lessee terminal 340. Next, the central server 310 to the external server 350, based on the selected brokerage fee information, the brokerage details of each of a plurality of brokers brokering the selected rental property at the same brokerage fee as the brokerage fee selected by the lessee The request may be made, and the detailed information of the broker may be received through the external server 350 .

The broker detailed information of each of the plurality of brokers may include a brokerage career of each of the plurality of brokers, the size of a completed sale for sale, a brokerage rating, and a contract sample of each of the plurality of brokers. Here, the scale of the sale transaction completion case may include the sale price, monthly rent, jeonse money, and/or deposit of the transaction completed sale.

In operation S802, the central server 310 may calculate the broker reliability for each of the plurality of brokers based on the detailed information on the brokers of each of the plurality of brokers. Here, the central server 310 may calculate the broker reliability based on the brokerage career of each of the plurality of brokerages, the scale of the case of the sale transaction completed, and the brokerage rating.

Specifically, the central server 310 may calculate the broker reliability by Equation 4 below.

[Equation 4]

In Equation 4, Broker Reliability represents the broker reliability, BE is the Brokerage Experience, n is a natural number identifying the completion of the sale transaction, and k is the nth natural number identifying the completion of the sale transaction. , BR _k may indicate the scale of the real estate transaction completion case of the broker, and rating may indicate the brokerage rating of the sale transaction completion case.

The central server 310 not only calculates the broker reliability based on the brokerage career of the broker for each of the plurality of brokers, but also considers the scale of the property that the real estate agent has already completed and the brokerage rating received from the lessee or lessor. By calculating , it is possible to reflect the actual intermediary's work ability and reliability in the intermediary's reliability.

The central server 310 extracts a plurality of brokers that broker a rental property with a brokerage fee selected primarily from the lessee terminal 340, and again calculates the broker reliability for the plurality of brokers and provides it to the lessee terminal 340 By doing so, secondarily, the lessee provides an opportunity to select a real estate agent to broker the rental property by referring to the broker's reliability among a plurality of brokers. Through this, the present invention provides an opportunity for the lessee to select a real estate broker who brokers at a low fee for the selected property, and provides an opportunity to select a certified real estate agent with excellent experience and work ability again. Accordingly, the present invention can provide the lessee with an opportunity to select a trusted real estate agent as well as for sale.

In operation (S803), the central server 310 may transmit the broker reliability and the contract sample for each of the plurality of brokers to the lessee terminal 340.

9 is a view showing a list of items for sale displayed on the display of the lessee terminal according to an embodiment.

In one embodiment, the display 901 of the lessee terminal 900 may display a plurality of information for sale received from the central server (310). The plurality of listing information may be listed as a listing. In addition, when each of the plurality of pieces of information for sale corresponds to a monthly rent, it may include an interior photograph, monthly rent and deposit information, the number of floors, the number of floors, and characteristic information of the sale. The lessee may view a list of items for sale through the lessee terminal 900 and select a property to be contracted.

10 is a view showing information for sale displayed on the display of the lessee terminal according to an embodiment.

In one embodiment, the display 1001 of the lessee terminal 1000 may display the selected listing information received from the central server (310). The selected property information includes a picture for sale, characteristic information of the property (for example, a 3-minute walk from Samseong Station), contract period, and reliability information (for example, a dangerous property display 1002 or a safe sale mark 1005)) may include

The lessee may determine whether to read more detailed information for sale with respect to the selected article by referring to the article reliability information through the lessee terminal 1000 . When the lessee clicks continue ( 1004 ), the central server 310 may quantify and display the satisfaction of the lessee predicted on the display 1001 of the lessee terminal ( 1000 ). The central server 310 may display the predicted satisfaction of the lessee as a score or a grade.

In addition, the lessee may select a request to write a contract or view other properties with reference to the satisfaction of the lessee predicted through the lessee terminal 1000 . When the lessee chooses to write a contract through the lessee terminal 1000 , the lessee terminal 1000 may display a list of real estate brokers and a list of fees for brokering the corresponding property.

The embodiments described above may be implemented by a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the apparatus, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that may include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited drawings, those skilled in the art may apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (5)

a plurality of intermediary terminals;
tenant terminal;
external server; and
including a central server;
The central server is:
Receive a plurality of rental property information including the address of the property, lessor information and rental information from the plurality of broker terminals,
Transmitting the plurality of rental property information to the lessee terminal, and when any one of the plurality of rental property information is selected through the lessee terminal, a first detail including lessor information and actual property measurement information of the selected rental property receiving information through the external server;
Calculating the sale reliability of the selected rental sale based on the rental sale information and the first detailed information of the selected rental sale, and transmits the calculated sale reliability to the lessee terminal,
When receiving a request to proceed through the lessee terminal, the second detailed information including the environment information and resident information related to the selected rental property is received through the external server, and based on the second detailed information Calculate the satisfaction of the tenant prediction of the selected rental sale, and transmit the calculated tenant prediction satisfaction to the tenant terminal,
When receiving a request to write a contract through the lessee terminal, receiving a plurality of broker information brokering the selected rental property through the external server,
Generates a list of brokers in which the plurality of brokers information is arranged in the order of lower brokerage fees, and transmits the list of brokers to the lessee terminal together with the brokerage fee information of each of the brokers,
Receiving detailed information on the brokerage company including contract samples of each of a plurality of brokerage agents brokering the selected rental property at the same brokerage fee as the brokerage fee selected through the lessee terminal through an external server,
Calculate the broker reliability for each of the plurality of brokers based on the detailed information of the brokers of each of the plurality of brokers, and transmit the broker reliability and the contract sample for each of the plurality of brokers to the lessee terminal,
The lessor information includes real estate information owned by the lessor, tax payment information of the lessor, and real estate register information of the lessor,
The real estate register information includes information on the owner, provisional registration, provisional seizure, foreclosure, concession, mortgage, cheonsei right, superficies, easement rights, and the maximum amount of claims indicated in Gap and Eul-gu of the registered copy of the lessor,
The actual measurement information includes the actual number of the selected rental for sale,
The central server is:
Calculate the reliability of the sale based on the rental sale information of the selected rental sale, the real estate information owned by the lessor, the tax payment information, the real estate register information, and the measured square footage,
The central server is:
The sale reliability is calculated by the following Equation 2,
[Equation 2]

In Equation 2, n is a natural number identifying the real estate owned by the lessor, k is a natural number identifying the real estate owned by the nth lessee,

represents the sale price of the real estate owned by the lessor,

represents the total number of owners, provisional documents, provisional seizures, seizures, concessions, mortgages, cheonsei rights, superficies, easements, and the maximum amount of receivables indicated in Gap-gu and Eul-gu of the registered copy of the lessor, T is the tax imposed by the lessor, t is The tax paid by the lessor at the present time, R is the number of acres included in the rental information of the selected rental for sale, r is the actual number of acres of the selected rental for sale
Is,
A system that provides rental consolidation services online.

delete According to claim 1,
The central server is:
Classifying the recommended property using a property classification model based on the rental property information, the number of real estate owned by the lessor and the tax payment information, the real estate register information, and the actual number of square feet,
The property classification model includes an input layer, one or more hidden layers and an output layer,
A plurality of learning data paired with rental sale information, the number of real estate owned by the lessor, tax payment information, real estate register information, measured square footage and recommended sale are input to the input layer of the sale classification model, and the one or more hidden layers and Outputs an output vector through an output layer, the output vector is input to a loss function layer connected to the output layer, and the loss function layer is a loss function that compares the output vector with an answer vector for each training data. and output the loss value using, and the parameter of the property classification model is learned in a direction in which the loss value becomes smaller,
[Equation 1]

The loss function follows Equation 1,
In Equation 1, n is the number of learning data for each class, y and j are identifiers indicating classes, C is a constant value, M is the number of classes, x_y is a probability value that the learning data belongs to class y, x_j is learning data is the probability value belonging to class j, L is the loss value,
A system that provides rental consolidation services online.
delete According to claim 1,
The central server is:
If the calculated sale reliability is less than or equal to a preset threshold, and transmits the dangerous property information to the lessee terminal,
When the calculated sale reliability exceeds a preset threshold, transmitting safe sale information to the lessee terminal,
A system that provides rental consolidation services online.

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