KR20220036031A - Real estate brokerage system - Google Patents

Abstract

The real estate brokerage system according to an embodiment of the present invention receives and stores user information from the user terminals of users including buyers, sellers, and brokers, and registers users as members. It receives property information including type, address information, floor number, square footage, and price information, creates an advertisement for the property, receives a transaction request from an advertising module and user that provides the advertisement to the user, performs the transaction, and externally performs the transaction. It is characterized by including a transaction execution module that collects the brokerage fee rate value from the DB, calculates the brokerage fee for the transaction, and charges the brokerage fee to at least one of the buyer and the seller.

Description

Real estate brokerage system {REAL ESTATE BROKERAGE SYSTEM}

The present invention relates to a real estate brokerage system, and more specifically, to a real estate brokerage system that can alleviate the burden of brokerage fees on buyers and sellers and help determine whether an item is a false listing by calculating a false score. It's about the system.

In general, real estate transactions are carried out between sellers and buyers through the brokerage of real estate brokers. At this time, when the real estate transaction is confirmed, the buyer pays the price to the seller, and the seller and buyer pay a small commission to the real estate agent.

Recently, as many people use smartphones, various applications have been developed. Accordingly, real estate transaction applications are being developed that allow users to easily search for real estate listings and conveniently conduct real estate sales and rental transactions using smartphones without the need to sell in person.

However, the conventional real estate transaction application maintains the existing method of charging brokerage fees to both the seller and buyer in a purchase transaction and to both the lessor and lessee in a lease transaction, thereby burdening both the seller and the buyer, the lessor and the lessee. There was a problem that discouraged real estate transactions.

In addition, since a separate property verification process is not performed during the property registration process, some real estate agents register properties by exaggerating the conditions of the actual property to attract the attention of buyers or tenants, or register so-called false properties that do not actually exist, so that buyers or tenants There was a problem that caused inconvenience to tenants.

Republic of Korea Patent Publication No. 10-2010-0128419, published on December 8, 2010

The purpose of the present invention is to solve the above problems, and to reduce the burden of brokerage fees and the inconvenience of tenants and buyers due to false listings, a brokerage fee calculation book that selectively charges real estate brokerage fees and registered listings The purpose is to provide a real estate brokerage system equipped with a property judgment module that calculates a false score, which is a measure of the possibility of a false property.

The object of the present invention is not limited to the object mentioned above, and other objects not mentioned can be clearly understood from the description below.

In order to achieve the above-mentioned purpose, the real estate brokerage system according to one aspect of the present invention is a member registration module that receives and stores user information from the user terminals of users including buyers, sellers, and brokers, and registers users as members, sellers, and brokers. Creates an advertisement for the property by receiving property information including property type, address information, number of floors, square footage, and price information from at least one of the brokers, and requests a transaction from the advertising module and user that provides the advertisement to the user. It is characterized by including a transaction execution module that receives and performs the transaction, collects the brokerage fee rate value from an external DB, calculates the brokerage fee for the transaction, and charges the brokerage fee to at least one of the buyer and the seller.

The real estate brokerage system according to the embodiment of the present invention with the above configuration can expect the following effects.

In a real estate lease transaction, only the lessor is charged a brokerage fee, and in a real estate sale transaction, the buyer is charged an amount calculated by multiplying the sale brokerage fee calculated based on the transaction price and the upper limit of the brokerage fee rate by the preset distribution ratio value, which is excessive. Since real estate brokerage fees are not incurred, the burden of real estate brokerage fees can be reduced.

By calculating a false score for a registered property according to a plurality of criteria and assigning a pre-set rating for the possibility that the property is a fake based on the calculated false score, the user can determine the possibility of the property being a false property. It effectively helps users reduce financial damage and wasted time caused by false listings during real estate transactions.

Figure 1 is a block diagram showing the overall configuration of a real estate brokerage system according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of an advertising module of a real estate brokerage system according to an embodiment of the present invention.
Figure 3 is a block diagram showing the configuration of a transaction execution module of a real estate brokerage system according to an embodiment of the present invention.
Figure 4 is a block diagram showing the configuration of a property judgment module of a real estate brokerage system according to an embodiment of the present invention.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various different forms, but the present embodiments only serve to ensure that the disclosure of the present invention is complete, and those skilled in the art It is provided to fully inform the user of the scope of the invention. Meanwhile, the terms used in this specification are for describing embodiments and are not intended to limit the present invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context.

Hereinafter, the real estate brokerage system 10 according to an embodiment of the present invention will be described with reference to the drawings.

The real estate brokerage system 10 according to an embodiment of the present invention mediates real estate transactions between buyers and brokers. Here, real estate transaction brokerage refers to the procedures of real estate transactions, including real estate sales transactions and lease agreements between buyers and sellers. It may be done through .

Throughout this specification, a buyer may refer to a person who wishes to purchase a real estate property and may refer to a person who wishes to purchase or lease a real estate property, and a seller may refer to a person who wishes to sell a real estate property and may refer to a person who wishes to sell or lease a real estate property. It may refer to a person who does this, and a broker refers to a person who acquires a licensed real estate agent qualification and brokers real estate transactions.

The real estate brokerage system 10 according to an embodiment of the present invention includes a user terminal 100 and an integrated server 200.

The user terminal 100 may be a terminal used by users including buyers, sellers, and brokers, and may be at least one of a PC, smartphone, and tablet, but is not limited as long as it can be connected to an integrated server through a communication network.

The integrated server 200 includes a member registration module 210, an advertising module 220, and a transaction execution module 230.

The member registration module 210 receives user information from users including buyers, sellers, and brokers and registers the users as members.

The member registration module 210 may receive at least one piece of information from the user's name, phone number, address, identification ID, and password, store the information, and register the user who entered the information as a member.

The identification ID input from the member registration module 210 may be a predetermined string input from the user to identify the user.

If the user is a broker, the member registration module 210 may receive information on at least one of the location, real estate agent registration number, presence of a business location, and business location.

The member registration module 210 may identify users registered as members.

The advertising module 220 receives property information including property type, address information, floor number, and price information from a broker registered in the member registration module 210, creates an advertisement for the property, and provides the advertisement to the user. It is done.

Here, the price information may be the transaction amount in the case of a sales transaction, the deposit in the case of a global contract, and the deposit and monthly rent in the case of a monthly rental contract, but are not limited thereto.

The advertising module 220 may include a property information input unit 221, a real estate database 222, an adjacent information matching unit 223, an advertisement generating unit 224, and an advertisement providing unit 225.

The property information input unit 221 receives property information including the type of property, address information, number of floors, exclusive area, supply area, square footage, number of rooms, and price information from at least one of the sellers and brokers registered in the member registration module 210. is input.

The types of properties entered into the property information input unit 221 may include one-room, two-room, three-room, officetel, villa, townhouse, and apartment, but are not limited thereto and are not limited to properties that are normally traded in real estate transactions. No.

The real estate database 222 may be linked to an external server to receive and store map data including convenience facility information, school information, and transportation facility information.

Convenience facility information stored in the real estate database 222 may be address information of convenience facilities corresponding to at least one of convenience stores, large supermarkets, restaurants, cafes, and hospitals, and educational facility information may include kindergartens, daycare centers, elementary schools, middle schools, and high schools. It may be address information of an educational facility corresponding to at least one of a university and a university.

Transportation facility information stored in the real estate database 222 may be address information of transportation facilities corresponding to at least one of a subway station, train station, bus stop, and airport.

The adjacent information matching unit 223 is a property information input unit ( 221), adjacent facility information may be generated for adjacent facilities including convenience facilities, educational facilities, and transportation facilities located within a predetermined distance of the property entered.

The adjacent information matching unit 223 records at least one adjacent facility among convenience facilities, educational facilities, and transportation facilities existing within a predetermined distance based on the address information of the property entered into the property information input unit 221 in the real estate database 222. It may be a search based on stored map data.

When adjacent facilities are searched based on the address information of the property entered into the property information input unit 221, the adjacent information matching unit 223 searches for the name, type, and address information of the adjacent facility and from the property to the adjacent facility based on map data. It may be to generate adjacent facility information including the distance of.

The adjacent information matching unit 223 searches for at least one adjacent facility among convenience facilities, educational facilities, and transportation facilities within a predetermined distance based on the address information of the property entered in the property information input unit 221, based on the search results. The distance from the location of the property entered into the property information input unit 221 to an adjacent facility may be calculated.

The advertisement creation unit 224 may generate an advertisement by placing the property information input into the property information input unit 221 and the adjacent facility information generated by the adjacent information matching unit 223 in a predetermined template and store the advertisement. .

The advertisement generation unit 224 may have a pre-stored template for arranging the property information input into the property information input unit 221 and the adjacent facility information generated by the adjacent information matching unit 223, and may pre-store the pre-stored The format of the template is not limited as long as the property information input into the property information input unit 221 and the adjacent facility information generated by the adjacent information matching unit 223 can be arranged.

The advertisement providing unit 225 provides the advertisement stored by the advertisement generating unit 224 to the user terminal.

The advertisement providing unit 225 receives at least one condition value from the type of property desired by the user, address information, number of floors, exclusive area, supply area, square footage, waterproofing, and price information, and provides the user with an advertisement that matches the condition value. It may be.

In the real estate brokerage system 10 according to an embodiment of the present invention, the integrated server 200 may further include a broker allocation unit 226.

When the property information input unit 221 receives property information from a seller and the advertisement creation unit 224 creates an advertisement for the same, the broker allocation unit 226 stores properties located within a predetermined distance based on the address information of the property. This may be allocating the above-mentioned property to a broker.

The broker allocation unit 226 provides the address information of the property based on at least one of the broker's location, presence of business, and business location entered in the member registration module 210 and the address information of the property entered in the property information input unit 221. As a standard, the property may be assigned to a broker existing within a predetermined distance.

The real estate brokerage system 10 according to an embodiment of the present invention can receive listing information directly from the seller, thereby reducing the possibility of brokering false listings, and the broker assignment unit 226 provides listing information directly to the seller. By assigning a broker located within a predetermined distance of the inputted listing, the broker can be located relatively close to the listing, allowing smooth brokerage of the listing.

The transaction execution module 230 receives a transaction request from the user, performs the requested transaction, collects the brokerage fee rate value from an external DB, calculates the brokerage fee for the transaction, and charges the brokerage fee to at least one of the buyer and the seller. .

The transaction execution module 230 may include a transaction request unit 231, a transaction confirmation unit 232, a payment unit 233, and a fee processing unit 234.

The transaction request unit 231 may receive input when the buyer receives an advertisement from the advertisement provider 225 through the buyer terminal 110 and enters a transaction request intention, and may receive the input of the transaction request intention entered by the seller terminal 120. ) and the broker terminal 130 to receive input as to whether or not the transaction is approved in response to the transaction request from at least one of the seller and the broker.

If the transaction request intention entered in the transaction request unit 231 is approved by at least one of the seller and the broker, the transaction confirmation unit 232 determines whether the transaction for the item for sale is confirmed based on the input value of at least one of the buyer, seller, and broker. It may be.

The transaction confirmation unit 232 receives the input when the transaction request intention entered into the transaction request unit 231 is approved by at least one of the seller and the broker and the buyer who requested the transaction enters an input value for transaction confirmation and sends it to the broker terminal (130). ) and the seller terminal 120 may be requested for confirmation, and input values regarding whether the transaction is confirmed may be received from the broker and the seller.

The transaction confirmation unit 232 may determine that the transaction for the corresponding item has been confirmed when it receives an input value indicating that the transaction has been confirmed from the broker and the seller.

If it is determined that the transaction of the property has been confirmed by the transaction confirmation unit 232, the advertisement generation unit 224 uses the property information input to the property information input unit 221 and the adjacent information generated by the adjacent information matching unit 223 for the advertisement. The advertisement is regenerated by placing a notification that the transaction has been confirmed along with facility information in a predetermined template, and the advertisement providing unit 225 can provide the user with an advertisement with a notification that the transaction has been confirmed.

The payment unit 233 may process payment for items for which the transaction has been determined to be confirmed by the transaction confirmation unit 232.

The payment unit 233 calculates the transaction price based on the price information of the property entered into the property information input unit 221, and transfers the calculated transaction amount from the buyer to the seller's account to the transaction confirmation unit 232. This may be processing the payment of an item for which the transaction has been determined to be confirmed.

The commission processing unit 234 may calculate a brokerage fee for the transaction of an item for which payment has been processed by the payment unit 233 and charge the calculated brokerage fee to at least one of the buyer and the seller.

The commission processing unit 234 calculates a brokerage fee for the transaction of an item for which payment has been processed by the payment unit 233, and sends a notification requesting payment along with the calculated brokerage fee to the buyer terminal 110 and the seller. It may be transmitted to at least one of the terminals 120.

The commission processing unit 234 may collect the upper limit value of the brokerage fee rate for real estate transactions from an external DB and calculate the brokerage fee based on the collected upper limit value and the transaction price calculated by the payment unit 233.

The external DB 20 may store the upper limit of brokerage fee rates for real estate transactions conducted in cities, districts, counties, and provinces.

The commission processing unit 234 may calculate the brokerage fee by multiplying the upper limit of the collected brokerage fee rate by the transaction amount calculated by the payment unit 233, and the calculated brokerage fee may be higher than the legal limit. If so, the legal limit may be calculated as a brokerage fee.

Here, the transaction price may be the sale price of the property in the case of a sale transaction, or the deposit in the case of a lease contract in a lease transaction.

Additionally, in the case of a monthly rental contract in a rental transaction, the transaction price may be the amount calculated by multiplying the monthly rent by 100 and adding the deposit, or by adding the amount calculated by multiplying the monthly rent by 100 and the deposit. If the amount calculated is less than 50 million won, the amount calculated by multiplying the monthly rent by 70 and adding the deposit can be used as the transaction amount.

For example, if the trading amount is 45 million won, the upper limit of the brokerage fee rate collected by the external DB is 0.6%, and 270,000 won is calculated by multiplying 45 million won by 0.6%, but in a trading transaction, the selling amount is 50 million won. If it is less than 250,000 won, the legal limit for brokerage fees is 250,000 won, so the brokerage fee can be calculated as 250,000 won instead of 270,000 won.

In the case of a sales transaction, the commission processing unit 234 may charge the buyer an amount based on multiplying the calculated brokerage fee by a preset distribution ratio value, but may not charge the seller, where the distribution ratio is limited to a specific value. However, it may preferably be 0.5.

Since the commission processing unit 234 only charges the buyer a brokerage fee during a sales transaction, the seller may not be burdened with the brokerage fee, and since the seller is not burdened with the brokerage fee, the real estate sale registered by the seller The number may increase, which may lead to revitalization of real estate transactions.

In the case of a rental transaction, the commission processing unit 234 may charge the seller the calculated brokerage fee and not charge the buyer.

The real estate brokerage system 10 according to an embodiment of the present invention can alleviate the economic burden felt by the buyer due to the real estate brokerage fee as the commission processing unit 234 charges the brokerage fee only to the seller during a rental transaction.

The real estate brokerage system 10 according to an embodiment of the present invention may further include a property judgment module 240.

The listing judgment module 240 calculates a plurality of false scores for a listing according to a plurality of standards to help the user determine whether the listing is a false listing, and calculates an integrated false score by adding up the calculated plurality of false scores. This may result in assigning a pre-set rating to the property based on the calculated integrated false score.

Here, the calculated false score and integrated false score are one of the measures that indicate the possibility that the product is a false product. The higher the calculated false score and integrated false score, the higher the possibility that the product is a false product. In addition, the grade according to the calculated integrated false score may have a preset value as one of the scales indicating the possibility of a false listing, for example, the grades calculated as safe, normal, and suspicious according to the calculated integrated false score. It could be.

The advertisement creation unit 224 calculates the product by the property judgment module 240 along with the property information input to the property information input unit 221 and the adjacent facility information generated by the adjacent information matching unit 223 in a predetermined template when creating an advertisement. An advertisement may be created by arranging at least one of a plurality of false scores, an integrated false score obtained by adding up the plurality of calculated false scores, and a rating given thereby.

The property judgment module 240 includes a keyword generation unit 241, an information collection unit 242, a price judgment unit 243, a transaction judgment unit 244, a period judgment unit 245, and a rating unit 246. It may be.

The keyword generator 241 uses the external DB 20 to search for similar properties with conditions similar to the property information of the target property for which a false score is to be calculated and generates search keywords to collect similar property information for the searched similar properties. Therefore, it may be transmitted externally.

The keyword generator 241 may generate a search keyword based on the type, square footage, and address information of the target property entered into the property information input unit 221.

Here, the type of property for sale may be at least one of a house, one-room, two-room, three-room, officetel, villa, and apartment, but is not limited thereto and is not limited as long as it is a type of property commonly traded in real estate transactions.

The keyword generator 241 may generate search keywords including type keywords, size keywords, and distance keywords.

The keyword generator 241 may generate the same type of property as the target property as a type keyword in order to search for the same type of property as the target property.

For example, if the type of target property is an apartment, the keyword generator 241 may generate apartment as a keyword to search for similar properties of the same type as the target property.

The keyword generator 241 uses the predetermined square footage range calculated by multiplying the square footage of the target listing by the minimum and maximum values of a predetermined ratio range in order to search for listings having a square footage within a preset square footage range based on the square footage of the target listing. It may be created using average keywords.

When the keyword generator 241 generates a square footage keyword, the minimum value of the predetermined ratio range that is multiplied by the square footage of the target property to calculate the predetermined square footage range may have a negative value, the maximum value can have a positive value, and the minimum value The absolute values of and the maximum may be the same.

The keyword generator 241 generates a distance keyword including the address information of the target property and the radius distance within the preset radius distance range to search for properties located within a preset radius distance range based on the address information of the target property. It could be.

For example, the keyword generator 241 may generate the address information of the target property and 500m as a distance keyword to search for properties located within a radius of 500m based on the address information of the target property.

The information collection unit 242 receives the search keywords generated from the keyword creation unit 241, inputs the received search keywords into the external DB 20, searches for similar properties, and searches for similar properties searched in the external DB 20. It may be collecting information on similar properties.

The information collection unit 242 may receive search keywords including type keywords, square footage keywords, and distance keywords from the keyword creation unit 241, and input the received search keywords into the external DB 20 to search for similar properties. there is.

Here, similar properties may be properties that are of the same type as the target property, have a square footage within a preset range based on the square footage of the target property, and are located within a preset radius distance based on the address information of the target property.

The information collection unit 242 may collect similar product information including the transaction price of similar products searched in the external DB 20, whether or not the transaction has been completed, the transaction time, the average price at each time, and the transaction completion time.

The external DB 20 may have pre-stored listing information on real estate listings, where listing information includes the type of listing, number of floors, square footage, number of rooms, address information, transaction price, average price at each point in time, whether or not the transaction has been completed, and It may be when the transaction is completed.

If similar properties are not searched, the information collection unit 242 modifies the search keyword by modifying at least one of the square footage keyword and the distance keyword so that the search for similar properties can be performed smoothly, and stores the modified search keyword in an external DB ( 20), you can perform a re-search to search for similar properties.

When modifying at least one of the square footage keyword and the distance keyword, the information collection unit 242 modifies at least one of the square footage keyword and the distance keyword so that the modified square footage keyword and distance keyword have relatively relaxed conditions compared to the previous keyword generation. You can.

The information collection unit 242 may modify the predetermined ratio range used when generating the sqm keyword to a relatively wide ratio range so that the predetermined sqm range when modifying the sqm keyword is modified to a relatively wider sqm range than when creating the previous keyword. When modifying a distance keyword, it may be modified by adding a preset unit distance increase to the radius distance when creating the keyword.

When modifying the average keyword, the information collection unit 242 increases the absolute values of the maximum and minimum values of the predetermined ratio range by the preset unit ratio increase amount, respectively, using a ratio range that is relatively wider than the predetermined ratio range used when generating the average keyword. It may be modifying the square footage keyword.

For example, when modifying the distance keyword among the square footage keyword and the distance keyword, the information collection unit 242 determines that if the unit distance increase is 200m, the location is within a radius of 500m based on the address information of the target property and the target property when creating the distance keyword. If the distance keyword was created as 500m so that the property can be searched, the distance keyword may be modified to 700m, which is the address information of the target property and 500m plus 200m.

In addition, the information collection unit 242 determines that when modifying the square footage keyword among square footage keywords and distance keywords, if the unit rate increase is 5%, the previous keyword creation is based on the square footage of the target property, using a ratio range of -10 to 10%. If the range has been calculated, the square footage keyword may be modified using the range of -15 to 15%, which is the ratio range of -15 to 15%, which is the absolute value of the maximum and minimum ratio ranges of -10 to 10% plus 5%.

The information collection unit 242 may repeat the re-search until more than a preset number of similar items are searched.

The price judgment unit 243 calculates the average price, which is the average of the transaction prices of similar items collected by the information collection unit 242, and calculates the price false score by comparing the average price with the transaction price of the target item. It could be.

The price judgment unit 243 calculates the average price of similar products and the price ratio, which is the ratio of the price information of the target product to the average price of similar products. If the calculated price ratio is 1 or less, the price according to the price ratio section The price false score may be calculated based on the false score standard.

For example, the price ratio calculated by the price judgment unit 243 is 0.7, and the price false score standard according to the price ratio section is 0 to 0.19 is 5 points, 0.2 to 0.39 is 4 points, and 0.4 to 0.59 is 3 points. , if 0.6 to 0.79 is 2 points and 0.8 to 1 is 1 point, the price judgment unit 243 may calculate the false price score as 2 points.

The transaction judgment unit 244 calculates the price increase/decrease rate by time based on the average price of similar items collected by the information collection unit 242, and compares the calculated price increase/decrease rate with the similar items collected by the information collection unit 242. Among the properties for sale, a false transaction score may be assigned to the target property based on the transaction price and transaction time of the transaction for which the transaction has been completed.

The transaction judgment unit 244 calculates the price increase/decrease rate of the average price at each time point with respect to the average price at the time point collected by the information collection unit 242, and dataifies the average price at each time point and the corresponding price increase/decrease rate together. This may be stored.

The transaction judgment unit 244 calculates the market price by reflecting the price increase/decrease rate at the time of transaction completion of the transaction collected by the information collection unit 242 in the transaction price of the transaction for which the transaction has been completed, and averaging them to calculate the average price. It may be calculating a price reflecting the market price.

The transaction judgment unit 244 calculates the price difference ratio, which is the ratio of the average market price to the transaction price of the target sale, and assigns a false transaction score to the target sale based on the false score standard according to the calculated price difference ratio and the preset price difference ratio section. It may be given.

The period judgment unit 245 collects the elapsed period from the registration date on which the target property was registered to the current time, calculates the period false score according to the standard for the preset elapsed period section, and applies the calculated false score to the target property. It may be given.

Here, the registration date on which the target property is registered may be the time when the advertisement creation unit 224 generates the advertisement or the time when the property information is input into the property information input unit 221.

For example, the period judgment unit 245 determines that the elapsed period up to the current point is 62 days based on the registration date when the target property was registered, and the standard for the preset elapsed period section is 0 for 0 to 15 days and 0 for 16 to 30 days. If 1 point is given, 31 to 45 days is 2 points, 46 to 60 days is 3 points, 61 to 90 days is 4 points, and more than 91 days is 5 points, the false period score is calculated as 4 points and this may be assigned to the target property. .

The rating unit 246 calculates the integrated false score by adding up the false price score, false transaction score, and false period score calculated by the price judgment unit 243, transaction judgment unit 244, and period judgment unit 245. It may be calculated and assigned a pre-set rating to the target property according to the integrated false score section.

For example, the rating unit 246 has a false price score, a false transaction score, and a false period score calculated by the price judgment unit 243, the transaction judgment unit 244, and the period judgment unit 245, respectively. , 3 or 2 points, and if the rating according to the preset integrated false score range is safe at 0 to 5 points, normal at 6 to 10 points, and suspicious at 11 to 15 points, the integrated false score is calculated as 8 points and average for the target property. It may be to give a rating.

The property judgment module 240 may include a reliability calculation unit 247 that assigns reliability to the calculated integrated false score according to a predetermined standard.

The reliability calculation unit 247 may grant a relatively lower reliability as the number of re-searches increases by modifying the square footage keywords and distance keywords until similar properties exceeding a preset number are searched because similar properties are not searched.

The reliability calculation unit 247 collects the number of repeated re-searches for similar properties by the information collection unit 242 until the integrated false score is calculated for the calculated integrated false score, and calculates the number of times it is calculated according to a preset standard according to the number of re-searches. This may give credibility to the integrated false score.

For example, when providing reliability to the integrated false score according to a preset standard according to the number of researches, the number of researches performed by the information collection unit 242 is 3, and the preset standard according to the number of researches is 3 times. If it is 95% if it is 1 time, 85% if it is 2 times, 70% if it is 3 times, and 50% if it is 4 times, the number of re-searches is 3, so the price judgment unit 243 gives the reliability of the integrated false score as 70%. It may be.

The reliability calculation unit 247 may calculate the reliability of the integrated false score calculated using a predetermined mathematical equation.

When calculating reliability using a predetermined equation, the reliability calculation unit 247 may calculate reliability using equation 1 below.

Here, σ is the reliability, α is the reliability coefficient, β is the distance coefficient, u is the initial radius distance when creating a distance keyword, v is the unit distance for the radius distance that increases when the distance keyword is modified, w is the number of modifications to the distance keyword, and γ is the The floor space coefficient, It may be a unit rate increase.

The reliability coefficient (α), distance coefficient (β), and rating coefficient (γ) may each have a value of 0 to 1, but are not limited thereto and may have a preset value.

The reliability coefficient (α), distance coefficient (β), and rating coefficient (γ) may be input by the user.

u may be the initial radius distance when the keyword generator 241 generates a street keyword, and more specifically, the radius distance range preset based on the address information of the target property when the keyword generator 241 generates the street keyword. It may be a radius distance used to search for properties located within, and may be in meters.

v may be a unit distance for the radius distance range that increases when the distance keyword is modified. More specifically, when the information collection unit 242 modifies the distance keyword, the radius distance range is expanded based on the target property, and at this time, the distance keyword is It may be a unit distance for the radial distance range that increases compared to the previous radial distance each time it is modified.

x may be one of the maximum value of the ratio range and the absolute value of the maximum value that the keyword generator 241 multiplies by the square footage of the target property to calculate the square footage range when generating a square footage keyword.

For example, when the keyword generator 241 calculates the square footage range by multiplying the square footage of the target product by a ratio of -10 to 10% when generating a square footage keyword, x may have a value of 10.

z may be a unit ratio range that increases when the square footage keyword is modified, and more specifically, when the information collection unit 242 modifies the square footage keyword and modifies the ratio range to a ratio that is relatively wider than the previous ratio range, the ratio that increases compared to the existing ratio range. It may be a unit increase for either the absolute value of the maximum or minimum value of the range.

For example, if the information collection unit 242 increases the absolute value of the maximum and minimum values of the ratio range by 5% every time the square number keyword is modified, z may have a value of 5.

When the reliability calculation unit 247 calculates the reliability using a predetermined equation, using the above-mentioned equation 1 is an example of calculating the reliability using a predetermined equation. It is not limited, and the use of other forms of mathematical expressions is also not limited.

The advertisement creation unit 224 provides the false price score given by the price judgment unit 243, the false transaction score given by the transaction judgment unit 244, the false period score given by the period judgment unit 245, and the grade. Create an advertisement based on at least one of the integrated false score calculated by the assignment unit 246, the rating assigned to the target property by the rating unit 246, and the reliability of the integrated false score calculated by the reliability calculation unit 247. You can create an advertisement by placing it on a predetermined template.

Accordingly, the real estate brokerage system 10 according to an embodiment of the present invention can effectively help users determine whether or not an item for sale is a false item by looking at an advertisement provided by the advertisement providing unit 225, thereby enabling the user to transact real estate. You can effectively save time and money wasted due to false listings.

Those skilled in the art to which the present invention pertains will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. The scope of the present invention is indicated by the scope of the claims described below rather than the detailed description above, and all changes or modified forms derived from the scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention.

10: Real estate brokerage system, 20: External DB
100: user terminal, 110: buyer terminal, 120: seller terminal,
130: broker terminal,
200: integrated server, 210: member registration module, 220: advertising module,
221: property information input unit, 222: real estate database, 223: adjacent information matching unit,
224: Advertisement creation department, 225: Advertisement provision department, 226: Broker allocation department,
230: Transaction execution module,
231: Transaction request department, 232: Transaction confirmation department, 233: Payment department, 234: Fee processing department,
240: Property judgment module,
241: Keyword creation unit, 242: Information collection unit, 243: Price judgment unit, 244: Transaction judgment unit,
245: Period judgment unit, 246: Rating unit, 247: Reliability calculation unit.

Claims (7)

a member registration module that receives and stores user information from the user terminals of users including buyers, sellers, and brokers, and registers the users as members;
An advertising module that receives property information including property type, address information, number of floors, square footage, and price information from at least one of the seller and the broker, generates an advertisement for the property, and provides the advertisement to the user; and
A transaction execution module that receives a transaction request from the user, performs the transaction, collects a brokerage fee rate value from an external DB, calculates a brokerage fee for the transaction, and charges the brokerage fee to at least one of the buyer and the seller; containing
real estate brokerage system. According to clause 1,
The transaction execution module is
Collects the upper limit of the brokerage fee rate value from the external DB, calculates the brokerage fee based on the upper limit and the transaction price of the item based on the price information, and applies the brokerage fee to at least one of the buyer and the seller Includes a fee processing department that charges to
The fee processing department
If the transaction is a sales transaction, charging the buyer an amount calculated by multiplying the brokerage fee by the preset distribution ratio, and if the transaction is a rental transaction, charging the seller the brokerage fee.
real estate brokerage system. According to clause 1,
The advertising module is
a property information input unit that receives the property information from at least one of the broker and the seller;
A real estate database that is linked to an external DB to receive and store map data including convenience facility information, educational facility information, and transportation facility information;
Generating adjacent facility information about adjacent facilities including convenience facilities, educational facilities, and transportation facilities located within a predetermined distance of the property based on the address information, the convenience facility information, the education facility information, and the transportation facility information. Neighborhood information matching unit;
an advertisement generator that generates an advertisement by placing the adjacent facility information and the property information in a predetermined template; and
Including an advertisement providing unit that provides the advertisement to the user terminal.
real estate brokerage system. According to clause 1,
In order to search for similar listings similar to the listing, the same type as the listing is used as the type keyword, and the square footage range calculated by multiplying the square footage of the listing by a predetermined ratio range in which the absolute values of the minimum and maximum values are the same is used as the square footage keyword. A keyword generator that generates a search keyword including the type keyword, the square footage keyword, and the distance keyword using the address information of the property and a preset radius distance as a distance keyword and transmits the search keyword to the outside; and
Receive the search keyword and input it into the external DB to search for similar properties, and collect similar property information including the type of similar property, transaction price, whether or not the transaction has been completed, average price by time point, and transaction completion time, If the similar property is not searched, the search keyword is modified by modifying at least one of the square footage keyword and the distance keyword, and the modified keyword is entered into the external DB to perform a re-search of the similar property. which further includes part;
real estate brokerage system. According to clause 4,
If the similar property is not searched, the information collection unit modifies the absolute value of the maximum value and the minimum value by increasing each by a preset unit rate increase when modifying the square footage keyword, and based on the radius distance when modifying the distance keyword. Modifying the value to be calculated by adding the set unit distance increase, and re-searching the similar listings by repeating the search until a preset number or more similar listings are found.
real estate brokerage system. According to clause 4,
a price judgment unit that calculates an average price, which is the average of the transaction prices of similar products, and calculates a false price score by comparing the average price with the transaction price of the product;
A transaction judgment unit that calculates a price increase/decrease rate at each point in time based on the average price of the similar items at each point in time, and calculates a false transaction score based on the price increase/decrease rate, the transaction price of a completed transaction among the similar items, and the transaction time;
a period determination unit that collects the elapsed period up to the current point based on the registration date when the similar product was registered and calculates a period false score according to the standard for the preset elapsed period section; and
A grading unit for calculating an integrated false score by adding up the false price score, the false transaction score, and the false period score, and assigning a preset grade to the item according to the preset integrated false score interval; further comprising;
real estate brokerage system. According to clause 6,
Further comprising a reliability calculation unit that calculates the reliability of the integrated false score using Equation 1 below:
real estate brokerage system.
(Equation 1)

Here, σ is the reliability, α is the reliability coefficient, β is the distance coefficient, u is the radius distance when creating the distance keyword, v is the unit distance increase, w is the number of modifications of the distance keyword, γ is the average coefficient, and x is When creating the square footage keyword, one of the absolute values of the maximum and minimum values of the ratio range, y is the number of times the square footage keyword has been modified, and z is the unit rate increase.

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