KR20180129693A - System and method for providing of price service of real-estate - Google Patents

Abstract

According to an embodiment of the present invention, a real estate price service server includes: a real estate offering information collection unit for receiving building information from the outside and collecting real estate offering information including household information related to the building information; a real estate price information management unit for classifying and grouping the collected real estate offering information by a plurality of preset standards and analyzing price information according to the grouped offering information; and a real estate price information service unit for providing price information in response to a request of a user based on the analyzed price information according to the grouped offering information when a search request on offering information that the user wants to search is received from the outside.

Description

FIELD OF THE INVENTION The present invention relates to a system and method for real estate ticketing service,

The present invention relates to a system and method for real estate ticketing service, and more particularly, to a real estate ticketing service system and method for providing ticketing information on new real estate and government buildings.

Recently, as the use of the Internet has increased so that anyone can easily access and share information in any part of the world, the demand of the general people who want to acquire all the information related to real estate easily, accurately and quickly using the Internet is gradually increasing have.

Also, in order to check the information about real estate, general people visit real estate information by visiting Internet registry site, Ministry of Land and Transportation site, Korea e-government site, numerous real estate portal site, bank real estate site, map information site and so on. Also, ordinary people use real estate information through internet.

However, the conventional real estate information providing system does not provide the service for providing the new real estate quotation information, and it is possible that the private real estate real estate sale price is divided into the area (city / county / district / , Number of toilets, accessibility to public transportation, etc.), it was difficult to collect data from data collection.

In addition, there is a problem that there is no price information which shows the comprehensive price of the real estate for each individual item.

In addition, there is no comprehensive real estate information service that provides comprehensive real estate and real estate real estate quotes, and there is a disadvantage that there is no service that provides the pre-sale price of the new real estate in the specific area and the current sale price.

Korean Registered Patent No. 10-1691187 (registered)

The object of the present invention is to provide a real estate market which can collectively provide quoted information of new construction real estate and government buildings by region (city / province, district / town, town / village / Service system and method.

It is another object of the present invention to provide a method and system for providing information on pre-sale information (pre-sale price, number of rooms, number of toilets, exclusive area, use area, extended area, elevator, CCTV, unmanned delivery, united door automatic door, And a real estate ticketing service system and method capable of providing ticker information of new and existing real estate by specific requirements.

Another object of the present invention is to provide a real estate ticketing service system and method capable of providing new real estate real estate real estate information by region and specific requirements on the basis of information on sale of newly sold newly built real estate.

Another object of the present invention is to provide a method and system for providing real estate real estate information, which is a big data provided by a public agency (Ministry of Land, Transport and Tourism, Seoul Real Estate Information Plaza, etc.), based on quoted information and previous month tax information, To provide a real estate ticketing service system and method.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.

The real estate market service server for realizing the above object includes a real estate sale information collection unit for receiving building information from outside and collecting real estate sale information including household information related to the building information, A real estate market information management unit for grouping and grouping according to a plurality of criteria, calculating and indexing market information according to the grouped seller information, analyzing market information for the grouped seller information, And a real estate market information service unit for providing market information in response to the request of the user based on the market information analyzed according to the grouped seller information when a search for the seller information to be searched is requested.

According to another aspect of the present invention, there is provided a real estate ticketing service system including a real estate sale information collecting unit for receiving building information from outside and collecting real estate sale information including household information related to the building information, A grouping unit for classifying and collecting the collected real estate listing information according to a plurality of predetermined criteria, calculating and indexing ticker information according to the grouped listing information, and generating ticker information for the grouped listing information, A real estate market service server including a real estate market information management unit for analyzing real estate market information and a real estate market information service unit for providing price information analyzed according to the grouped real estate information and user information to be searched by a user, Quot; information " provided from the corresponding real estate market service server It may include a user terminal for displaying a screen.

According to another aspect of the present invention, there is provided a method for providing real estate ticketing service, comprising: receiving building information from outside and collecting real estate sale information including generation information related to the building information; Grouping the classified real estate listing information into a plurality of predetermined criteria, calculating and indexing ticker information according to the grouped listing information, and analyzing ticker information for the grouped listing information And providing the ticker information in response to the request of the user based on the ticker information analyzed according to the grouped advertisement information if a search for the advertisement information to be searched by the user is requested from the outside.

According to the present invention, it is possible to comprehensively provide quotation information of new construction real estate and jurisdictional real estate by region (city / province, district / town, town / village / Can make reasonable purchasing decisions by comparing the price of new real estate sale price, new real estate real-estate market price, and UGO property sale price information by region and specific requirements at a glance,

In addition, the client can grasp the information of the new real estate and the new real estate at a glance, and it is possible to make a reasonable price out of the systematic price. This can help to reasonably compare unreasonably priced real estate prices and contribute to the advancement of real estate transactions.

The effects of the present invention are not limited to the above-mentioned effects, and various effects can be included within the scope of what is well known to a person skilled in the art from the following description.

1 is a diagram illustrating a real estate ticketing service system according to the present invention.
2 is a block diagram schematically illustrating a configuration of a real estate ticketing service server according to an embodiment of the present invention.
3 is a block diagram showing the configuration of the real estate sale information collecting unit shown in FIG.
4 is a block diagram showing the configuration of the real estate market information management unit shown in FIG.
5 is a block diagram showing the configuration of the real estate market information service unit shown in FIG.
6 is an exemplary view showing a real estate sale information input screen according to the present invention.
FIG. 7 is a view illustrating a screen of a real estate general ticketing service according to the present invention.
8 is a view illustrating an example of a real estate detail ticketing service screen according to the present invention.
FIG. 9 is a view for explaining a method for inputting real estate search condition information in a multiple choice according to the present invention.
FIG. 10 is a view for explaining a method of inputting real estate search condition information as a supporting expression according to the present invention.
11 is a diagram illustrating a method of real estate ticketing service according to the present invention.

The foregoing and other objects, features, and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which: FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a real estate ticketing service system and method according to the present invention will be described in detail with reference to the accompanying drawings. The embodiments are provided so that those skilled in the art can easily understand the technical spirit of the present invention, and thus the present invention is not limited thereto. In addition, the matters described in the attached drawings may be different from those actually implemented by the schematic drawings to easily describe the embodiments of the present invention.

In the meantime, each constituent unit described below is only an example for implementing the present invention. Thus, in other implementations of the present invention, other components may be used without departing from the spirit and scope of the present invention. In addition, each component may be implemented solely by hardware or software configuration, but may be implemented by a combination of various hardware and software configurations performing the same function. Also, two or more components may be implemented together by one hardware or software.

Also, the expression " comprising " is intended to merely denote that such elements are present as an expression of " open ", and should not be understood to exclude additional elements.

1 is a diagram illustrating a real estate ticketing service system according to the present invention.

Referring to FIG. 1, a real estate ticketing service system includes a user terminal 100 and a real estate ticketing service server 200, which transmit and receive information through a communication network.

The user terminal 100 may be an administrator terminal registering real estate sale information or a customer terminal receiving real estate market information.

The user terminal 100 may be implemented as a computing device having a communication function such as a notebook PC or a tablet PC, but may be implemented as a portable communication device such as a smart phone or a tablet PC.

The real estate market service server 200 collects real estate sale information and indexes and stores real estate market information by region and specific requirements based on the collected real estate sale information. Here, real estate includes villas, apartments, and office buildings, and is divided into new real estate and new real estate. New real estate refers to real estate that is newly built and then sold, such as villas, apartments, and office buildings, and the real estate of villas, apartments, and officetels that have been traded since the sale of the premises. The property information includes the building information and the household information, and the building information includes the address, the building name, the total number of floors, the elevator availability / year, and the generation information includes the building use, , Number of bathrooms, exclusive area, residential area, balcony area, balcony extended area, land area, actual use area, sale price, collection day, etc.

The real estate quotation information can include new apartment real estate sales quotes, new real estate real estate quotes, UGO real estate quotes, UGO real estate charter quotes, UGO real estate monthly rent quotes, and specific requirements include station taxi, area, .

The real estate ticketing service server 200 provides the real estate ticketing information of the corresponding area when the real estate ticketing information search request is received from the user terminal.

Meanwhile, the real estate ticketing service server 200 may be implemented as a single computing device or in the form of an aggregate device in which two or more computing devices are interconnected. For example, the real estate ticketing service server 200 may be implemented as a single server or two or more servers connected together.

A detailed description of this real estate ticketing service server 200 will be given with reference to FIG.

FIG. 2 is a block diagram schematically showing a configuration of a real estate ticketing service server according to an embodiment of the present invention. FIG. 3 is a block diagram showing a configuration of a real estate property information collecting unit shown in FIG. 5 is a block diagram showing a configuration of the real estate market information service unit shown in FIG. 2, FIG. 6 is an exemplary view showing a real estate sale information input screen according to the present invention, and FIG. FIG. 8 is an exemplary view showing a real estate detailed market service screen according to the present invention, FIG. 9 is a screen example for explaining a method for inputting real estate search condition information in a multiple choice manner according to the present invention. FIG. 10 is a diagram for explaining a method for inputting real estate search condition information as a supporting expression according to the present invention.

2, the real estate ticketing service server 200 includes a database 210, a real estate sale information collection unit 220, a real estate market information management unit 230, a real estate market information service unit 240, 250).

The database 210 includes a stock information database storing real estate sale information collected by the real estate sale information collecting unit 220, and a ticketing information database storing real estate ticketing information.

The real estate sale information collecting unit 220 collects the real estate sale information including the building information and the household information, and inquires the building lot, and corrects the building information and the household information.

3, the real estate sale information collection unit 220 includes a collection module 222, a correction module 224, and a registration module 226. The real estate sale information collection unit 220 includes a collection module 222, a correction module 224,

The collection module 222 collects real estate listing information including building information and household information. At this time, the collection module 222 collects real estate sale information received from the member (individual), affiliate company, manager, client, and the sale house office, collects real estate sale information through the big data of the public agency, Can be input directly from an external vendor or automatically collected. First, a method of collecting real estate listing information from members, affiliates, managers, and the like will be described.

When the member selects the real estate registration menu, the collection module 222 displays the building information input screen as shown in FIG. 6 (a). In the building information input screen, the member inputs building information such as address, building name, total number of floors, elevator availability / year, and construction year, and selects a registration command. Then, the collection module 222 registers the inputted building information, and displays the generation information input screen as shown in (b). Members can use the building information input screen for building use, duplex, floor, lake, room number, bathroom number, private area, residential public area, balcony area, balcony extended area, land area, actual use area, And then selects a registration command. Then, the collection module registers the inputted household information.

Next, a description will be made of a case where real estate sale information is collected through big data of a public institution. Here, the Big Data of the public institution is the information provided by the public institution in an open (open api), and it is the open data of the public institution of the actual real exchange data provided through the land register information of the real estate, . In such a case, the collection module 222 uses an API provided by a public institution such as a national data portal or the like to link with a web site constructed by itself, or download information provided in the form of a file, Such as the information collected periodically.

Finally, the case of automatically collecting the listing information of the outside company will be explained. Here, the external company may include SNS such as a cafe, a blog, a Facebook, a messenger, and a sale website. In this case, the collection module 222 collects real estate listing information through crawling.

When the real estate sale information is collected through the collection module 222, the correction module 224 inquires the building lot and corrects the building information and the household information. At this time, if the collection module 222 collects the building data, the correction module 224 can use the building data file and can access the external server in real time to acquire the building data file. Here, the external server may include an Internet registry server, a portal server for providing real estate information, a government electronic civilization providing server, and the like.

The correction module 224 corrects the building information by inquiring the title part of the building ledger, and corrects the generation information by inquiring the proprietor of the building ledger. In other words, the correction module 224 compares the collected building information with the address, the name of the building, the total number of floors, the elevator presence / absence, the building year, and the like displayed on the title of the building. In addition, the correction module 224 compares the collected household information with the information on the building use, the floor, the floor, the lake, the room number, the bathroom number, the private area, the residential common area, the balcony area, Compared with the area, the land area, the actual use area, the information described incorrectly is corrected.

The registration module 226 stores the real estate sale information including the building information and the household information that has been corrected in the correction module in the property information database. At this time, the registration module 224 can check whether the real estate listing information is registered in duplicate, and register the non-duplicated listing information.

Referring again to FIG. 2, the real estate market information management unit 230 may classify and group the collected real estate sale information by predetermined criteria, and analyze the market information according to the grouped sale information. Herein, the analysis of quoted information refers to the calculation and indexing of real estate market information by region and specific requirements based on the real estate sale information collected by the real estate sale information collection unit 220. That is, the real estate market information management unit 230 of the present invention can calculate and index market information according to the real estate sale information grouped by the preset criteria.

Here, the predetermined criteria may be, for example, real-estate market information sorted by region or by specific requirements. The real estate market information according to one embodiment includes real estate market information of the state / province, real estate market information of the district / district, real estate market information of the town / village / A star, an interview, a subway station distance, a room number, and a bathroom number. Real estate market information according to specific requirements is information generated by region, for example, each city / province, each city / district, each city / district building year, station area, interview, subway station distance, A star, or the like.

The real estate quotation information management unit 230 manages the indexes (daily, weekly, monthly, and data update) in order to individually or integrally display the quoted prices and the specific requirements of the local real estate sales sale quotes, new real estate real estate transactions, indexing). Here, the indexing refers to an operation of storing data such as an average value, a maximum value, and a minimum value by collecting various ticker information and storing them separately.

That is, the real estate market information management unit 230 indexes the price information of the city / state, indexes the price information of the city / district, and indexes the town / town / agreement price information. At this time, the real estate market information management unit 230 inquires and records the price information in accordance with specific requirements such as year of construction, station tax, interview, distance of subway station, number of rooms, and number of bathrooms.

Referring to FIG. 4, the real estate market information management unit 230 includes a real estate information management module 231, a real estate information management module 232, and a real estate information management module 233, a number of pieces of market price information management module 234 for each number of rooms, and an error processing module 235.

Here, if the indexed ticker information does not correspond to the predetermined condition, the error processing module 235 determines that the uniqueness has occurred. If it is determined that the above-mentioned unusual event has occurred, an error on the indexed ticker information is processed. Related to the operation of the error processing module 235, a city price information management module 231, a station price information price management module 232, an area price information management module 233, a city price information management module 234 will be described in more detail below.

First, the regional price information management module 231 divides the real estate sale information into address items by city / province, district / town, and town / village / province, and generates local real estate market information. In this case, in case of city / county unit, when the number of building information or household information is more than a certain number, and when it is unit of town / village / house, only building information or household information is more than a certain number. In addition, in the case of a planned city such as a new city, only a certain area is dense with apartments, so there is no information on the real estate or there is a lack of parameters. In this case, if there is less than a certain level of data in order to provide accurate information, it may not provide the city / town and city / state / city information.

For example, the regional price information management module 231 may be configured to calculate the average value / maximum value / minimum value of newly built real estate in each city / province such as Seoul, Gyeonggi Province, Gyeongsangbukdo, Gyeongsangnam-do, Jeollanam-do, Jeollabuk-do, Chungcheongbuk-do, Value / minimum value, the average value / maximum value / minimum value of the property sale price, the average value / maximum value / minimum value of the property value of the property, and the average value / maximum value / minimum value of the property value of the property. In addition, the regional price information management module 231 is configured to calculate the average value / maximum value / minimum value of newly built real estate of each district such as Gangnam-gu, Songpa-gu, Gwanak-gu, average value / new value / Value / minimum value, the average value / maximum value / minimum value of the premises lease, and the average value / maximum value / minimum value of the premises lease.

The station price information management module 232 per station seat searches for subway station information within a predetermined distance for each sale, and generates quotation information according to the number of subway stations searched for sale or the distance between subway stations in the sale. At this time, the generated price information for the station zone may be information generated for each region.

In other words, the market price information management module 232 for each station uses the APIs of the public institutions and the external information providers to search and store the subway station information within a certain distance for each sale. Also, the station information management module 232 for each station can collect and store the subway station information, and then use the stored subway station information to search the subway station information within a certain distance for each sale. At this time, the number of subway stations around the property can be saved as well. The price information per station area shows the price per 1m per sqm according to the number of subway around the property, and it can also show the price per 1m per sqm depending on the distance between the subway stations.

For example, the market price information management module 232 for each station generates the average value / maximum value / minimum value of newly built real estate according to the name and number of the subway stations searched for for sale, average value / maximum value / minimum value of new real estate, Value / minimum value, the average value / maximum value / minimum value of the premises lease, and the average value / maximum value / minimum value of the premises lease. The price information management module 232 for each station generates the average value / maximum value / minimum value of newly built real estate, average value / maximum value / minimum value of new real estate, average value / , Average value / maximum value / minimum value of the premises lease, average value / maximum value / minimum value of the premises lease price.

The area price information management module 233 generates price information according to the area by combining one or more items of a dedicated area, a residential area, a balcony area, a balcony extended area, and a used area. At this time, the area is set as a single area, and the price per 1m is displayed. The area price information can be generated by the area.

For example, the market information management module 233 for each area can calculate the average value / maximum value / minimum value of newly built real estate according to the exclusive area of 18 pyung, 25 pyung, 30 pyung, 45 pyung, The minimum value, the average value / maximum value / minimum value of the property, the average / maximum / minimum value of the property, and the average / maximum / minimum value of the property.

The price information management module 234 for each number of rooms uses the number of the rooms and the number of the baths alone, or generates the price information by combining the two items. At this time, a combination of the number of the rooms and the number of the bathrooms shows the price per 1m per class, and the price information per room can be the information generated by the area.

For example, the market price information management module 234 for each number of the rooms can calculate the average value / maximum value / minimum value of newly built real estate, average value / maximum value / minimum value of new real estate, Find the city price information by the number of rooms such as the average value / maximum / minimum value of the real estate sales, the average / maximum / minimum value of the real property, and the average / maximum / minimum value of the real property.

If the error processing module 235 does not meet the preset criteria among the market information obtained by region, construction year, station area, area, subway station distance, and number of rooms, it is determined that a specific issue has occurred, Tell the administrator about the information to handle the error. For example, the error handling module 235 compares the average price in the same area. If the price of the premises is higher than the price of the new premises, the price of the premises is higher than the value of the new premises, If the price of the land is higher than that of the landlord, it is compared with the delivery price of the same area. If the price of the land is higher than a predetermined rate, it is lower than the price of the previous month. Inform the administrator of the information so that the error is handled.

In order to improve the accuracy of the real estate quotation information, the real estate quotation information management unit 230 configured as described above stores the new real estate real estate sale price, the new real estate real transaction price, the quasi real estate sale price, and the real estate charter / In particular, the price of premises for sale and the rent / leasehold tax shall be within 1 year, 2 years, 3 years, 3 years, 5 years, 5 years, 10 years, 10 years, If the price of the premises is higher than the price of the newly built property, when the price of the premises is higher than the price of the premises, the price of the premises is higher than the price of the premises, Make sure that accurate quotes are derived.

The real estate market information service unit 240 obtains the real estate market information of the corresponding area from the user information terminal and provides it as a map and a list when the real estate market information search is requested from the user terminal. Here, the ticker information request signal may include a region, a specific requirement of the region, and the like.

In addition, the real estate market information service unit 240 may push the real estate market information of the area corresponding to the current position of the user or the real estate market information of the specific requirement of the area through the app of the user terminal. That is, when the real-time ticketing service app is installed in the user terminal, the user terminal recognizes the current position using GPS or the like, and transmits a real-time ticketing information request signal including the recognized current position to the real- do. At this time, the user terminal can request the real estate market information service 240 to the real estate market information service unit 240 when the recognized location is the first visited location for a predetermined predetermined period of time, the site visited periodically for a predetermined predetermined period, and the like. Then, the real estate market information service unit 240 can provide the real estate market information of the area corresponding to the current position of the user or the real estate market information of the specific requirement of the area.

5, the real estate market information service unit 240 includes a comprehensive ticker service module 242, a detailed ticker service module 244, and an SNS service module 246 do. The comprehensive ticketing service module 242 provides the user terminal with information on the new real estate sale price and the townhouse information of the region inputted by the user. In addition, the comprehensive ticketing service module 242 can provide real-time market comparison information of a region different from the region inputted by the user. At this time, the comprehensive ticketing service module 242 can provide real-time market comparison information in the form of a multi-dimensional graph such as a bar graph. In addition, the comprehensive ticketing service module 242 can provide the seller information of the area inputted by the user.

That is, when the user selects the real estate quotation menu, the comprehensive quotation service module 242 provides a real estate quotation search screen 710 indicated by a map as shown in FIG. 7A. When the user selects a specific region on the real estate quotation search screen 710 indicated by the map, the comprehensive quotation service module 242 displays the new real estate quotation information of the specific region selected as shown in FIGS. 7B and 7C, Provide quotation screen. The comprehensive quotation screen 710 includes a real estate quotation search area 712, a real estate quotation area 714 of the selected area, a real estate quotation comparison area 716 for the selected area, and a real estate for sale area 718 of the selected area. The user can change the region in the real estate market search area 712 and select it. The real estate market area 714 displays the new real estate sales quotes and the old city real estate market information of the user selected region. Within 2 years, within 3 years, within 3 years and 5 years, within 5 years, within 10 years, and 10 years from the date of construction, inclusive of the sale price, It is possible to select the elapsed time period based on the construction date such as the year or more. In the real estate market comparison area 716, real estate market comparison information of the selected specific area and another area can be displayed as a bar graph. The real estate for sale area 718 may display the property information of the selected specific area.

The detailed quotation service module 244 provides a new real estate sale price tag and a townhouse quotation information for at least one of a station area, a subway station distance, a room number, and a bathroom by a specific area. At this time, the detailed price service module 244 can provide detailed price information as a bar graph, a line graph, and the like.

That is, when the user selects the real estate market menu, the detailed price service module 244 provides a real estate detailed market search screen 810, which is displayed as a map as shown in FIG. 8A. When the user selects a specific area on the map of the real estate detailed price search screen 810, the detailed price service module 242 provides a real estate information area 812 for each area showing real estate market information for each selected area 8C, 8C, 8C, and 8C, the real estate market information 820 of each room / bathroom, real estate real estate information 820 of each subway station taxi district 816, A city area 818 of the subway station with information, a city price 820, and so on.

In the area of city area 812 by area, it is divided into a new apartment real estate sale price, a new real estate real-market price, a quarry real estate sale price, and a real estate charter / The price of newly built real estate and Gugok real estate according to the number of rooms and the number of bathrooms are displayed in a multi-dimensional graph such as a bar graph based on the number of rooms and the number of bathrooms. In the city area (816) by subway station taxi, the prices of new and new real estate and gouok real estate per 1m or 3.3m according to the number of subway stations are displayed in the form of a bar graph. In the city area (818) by subway station distance, the prices of new real estate and new real estate are displayed in a multi-dimensional graph format such as a bar graph based on the distance from the nearest subway station.

Meanwhile, the real estate market information service unit 240 may further include an SNS service module 246 for providing the real estate market information corresponding to the search condition information input by the user as push through the SNS. That is, when the user desires to use the SNS push service, the user inputs search condition information on the search condition input screen. At this time, the user can input the retrieval condition information in a multiple choice form or a double form. Then, the SNS service module 246 pushes the real estate market information corresponding to the inputted search condition information through the SNS.

The forecasting model generating unit may generate a forecasting model based on past or present market information based on the real estate sale information collected from the real estate sale information collecting unit 220, And generates a quotation information prediction model for predicting future quotation information according to each listing information. Accordingly, the quotation information prediction unit 250 generates future quotation information for the listing information based on the generated quotation information prediction model, Can be predicted.

More specifically, the future market information for each sale information according to the present invention is a learning algorithm for learning based on past or present market information according to real estate sale information collected from the real estate sale information collecting unit 220 . ≪ / RTI > The real estate market service server 200 of the present invention basically provides a new apartment real estate sale price, a government office real estate sale price, and a premier real estate charter price. In order to obtain comprehensive price information for generating a predictive model, By acquiring comprehensive ticketing information by using the real-time ticketing service server of the present invention, it is possible to generate future ticketing information, collect multidimensional real estate information provided by an external public data portal, acquire comprehensive ticketing information using the collected information A ticker information prediction model may be generated. For example, the past price information may be collected using a public data portal.

In addition, the ticker information prediction unit 250 of the present invention estimates the market information based on the ticker information prediction model generated by learning based on the past or current ticker information and the flow rate of the neighboring region of the real estate for each sale information It is possible to predict future market information according to the selling information. The past or current market price information may be indexed information by calculating market information according to real estate sale information grouped by criteria set by the real estate market information management unit.

For example, the price information prediction unit 250 may estimate the future price information of the corresponding property by further considering the correlation between the floating population pattern information of the adjacent real estate sale corresponding to each sale information and the number of the visitors who enter the surrounding shopping street .

In this manner, the future quotation information predicted by the quotation information prediction unit 250 may be displayed by the real estate quotation information service unit 240 as a "future sale quotation" of each real estate sale and provide a predicted result value .

First, a method of inputting search condition information by a user in a multiple choice manner will be described. Referring to FIG. 9, the user sequentially selects region information for each step of city / district, district / town, town / state / agreement in the region selection area. Then, the SNS service module 246 informs the real estate market information of each step in the form of text and image in a push. When you click on the result, you can get a web page or app, and you can get detailed information including graph and commentary through web page or web.

Next, a description will be made of a method in which the user inputs the search condition information in a supporting fashion. 10, the SNS service module 246 provides an item to be input by the user. When the user inputs text corresponding to the item, the SNS service module 246 inputs And provides the real estate market information corresponding to the search condition information as push condition.

For example, the user directly inputs contents corresponding to items such as transaction type, paying-in amount, sale price, number of rooms, subway, elementary school street, park,

The real estate ticketing service server 200 may further include a controller (not shown) for controlling the operation of various components of the real estate ticketing service server 200. The control unit may include at least one computing device, which may be a general purpose central processing unit (CPU), programmable device elements (CPLDs, FPGAs), application specific integrated circuits ) Or a microcontroller chip.

In each of the configurations of the real-time ticketing service server 200 described above, it may be implemented in the form of a software module or a hardware module executed by a processor, or a combination of a software module and a hardware module.

As such, any combination of software modules, hardware modules, or software modules and hardware modules executed by a processor may be implemented in a hardware system (e.g., a computer system).

According to another embodiment of the present invention, the predictive model generation unit can generate a deep-run based ticker information prediction model by learning. The training data for the city information prediction model includes, for example, existing property information, general property information (location, price, yearly, potential increase rate, economic index, general leading indicator, etc.) (Information on the risk of the relevant real estate, individual leading indicators, etc.). Here, the economic index can be a price index, and the general leading indicator is a preceding indicator of a real estate economy, for example, a predictor of the economic growth rate. In addition, the individual leading indicator may be an indicator that reflects the prior good (redevelopment, reconstruction target) or negative (reinforcement of the reserve tax rule) related to the real estate concerned.

The city information prediction model receives the above information on the local group including the real estate as training data and extracts feature values or feature patterns for the real estate from the input training data. Although there is no particular limitation in determining the local group here, it is desirable to study the adjacent districts having similar trends in terms of existing real estate market fluctuations as the local group.

The feature value is preferably a characteristic value that is extracted from the general property information and the individual property information, and is effective in reflecting or predicting the price change of the property. For example, individual attribute information and general attribute information can be treated as a signal represented by a graph. The temporal information prediction model extracts characteristic patterns including important information (inflexion point, maximum vertex, slope, etc.) promised in the above signal, and learns the extracted characteristic patterns according to a predetermined weight, It is possible to calculate a predictive feature value that can predict the market price. Of course, the ticker information prediction model can determine the optimal weight by repeating the above procedure and learning to change the above weight to better reflect the actual result corresponding to the training data.

The price information prediction unit determines the local group to which the real estate to be forecasted belongs and applies the input data for forecasting the price of the real estate or the real estate to the price information prediction model to predict the price of the real estate or the local group .

11 is a diagram illustrating a method of real estate ticketing service according to the present invention.

Referring to FIG. 11, when the real estate sale information including the building information and the household information is collected (S1102), the real estate market service server inquires the building lot and corrects the building information and the household information (S1104). In other words, the real estate ticketing service server collects real estate property information from members (individuals), affiliates, managers, etc., collects real estate property information through big data of public agencies, and automatically collects property information of external companies. Then, the real estate ticketing service server inquires the heading part of the building ledger, corrects the building information, and inquires the proprietor of the building ledger to correct the household information.

After performing step S1104, the real estate market service server calculates and indexes real estate market information by region and specific requirements based on the corrected real estate sale information (S1106). When the uniqueness occurs, The error is processed (S1108).

Thereafter, when the real-time ticketing service server requests real-time ticketing information retrieval from the user terminal (S1110), the real-time ticketing service server obtains the real estate ticketing information of the corresponding area from the ticketing information database and provides it as a map and a list (S1112). At this time, the real estate ticketing service server provides comprehensive ticketing information or detailed ticketing information in the form of a graph or the like.

Meanwhile, the real-time ticketing service method can be written as a program, and the codes and code segments constituting the program can be easily deduced by a programmer in the field. In addition, the program relating to the method of real estate ticketing service can be stored in an information storage medium (Readable Media) readable by an electronic apparatus, readable and executed by an electronic apparatus.

Thus, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the above-described embodiments are illustrative only and not restrictive of the scope of the invention. It is also to be understood that the flow charts shown in the figures are merely the sequential steps illustrated in order to achieve the most desirable results in practicing the present invention and that other additional steps may be provided or some steps may be deleted .

The technical features and implementations described herein may be implemented in digital electronic circuitry, or may be implemented in computer software, firmware, or hardware, including the structures described herein, and structural equivalents thereof, . Also, implementations that implement the technical features described herein may be implemented as computer program products, that is, modules relating to computer program instructions encoded on a program storage medium of the type for execution by, or for controlling, the operation of the processing system .

In the present specification, the term " system ", "device" includes all apparatuses, apparatuses, and machines for processing data including, for example, a processor, a computer or a multiprocessor or a computer. The processing system may include any code that, in addition to the hardware, forms an execution environment for a computer program upon request, such as, for example, code that constitutes processor firmware, a protocol stack, a database management system, an operating system, can do. A computer program, known as a program, software, software application, script or code, may be written in any form of programming language, including compiled or interpreted language or a priori, procedural language, Routines, or other units suitable for use in a computer environment.

Configurations implementing the technical features of the present invention, which are included in the blocks and flowcharts shown in the drawings attached hereto, refer to the logical boundaries between the configurations. However, according to an embodiment of the software or hardware, the depicted arrangements and their functions may be implemented in the form of a stand alone software module, a monolithic software structure, a code, a service and a combination thereof and may execute stored program code, All such embodiments are to be regarded as being within the scope of the present invention since they can be stored in a medium executable on a computer with a processor and their functions can be implemented.

Accordingly, the appended drawings and the description thereof illustrate the technical features of the present invention, but should not be inferred unless a specific arrangement of software for implementing such technical features is explicitly mentioned. That is, various embodiments described above may exist, and some embodiments may be modified while retaining the same technical features as those of the present invention, and these should also be considered to be within the scope of the present invention.

It should also be understood that although the flowcharts depict the operations in the drawings in a particular order, they are shown for the sake of obtaining the most desirable results, and such operations must necessarily be performed in the specific order or sequential order shown, Should not be construed as being. In certain cases, multitasking and parallel processing may be advantageous. In addition, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and systems are generally integrated into a single software product, It can be packaged.

As such, the specification is not intended to limit the invention to the precise form disclosed. While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is evident that many alternatives, modifications, and variations will be apparent to those skilled in the art without departing from the spirit and scope of the present invention as defined by the appended claims. It is possible to apply a deformation. The scope of the present invention is defined by the appended claims rather than the foregoing description, and all changes or modifications derived from the meaning and scope of the claims and equivalents thereof are deemed to be included in the scope of the present invention. .

100: User terminal 200: Real estate ticketing service server
210: Database 220: Real Estate Sale Information Collection Unit
222: acquisition module 224: correction module
226: Registration module 230: Real estate market information manager
231: Ticket information management module for each region 232: Ticket information management module for each station ticket
233: Quotation information management module by area 234: Quotation information management module by number of rooms
235: Error handling module 240: Real estate market information service department
250: Ticket information prediction unit
242: comprehensive ticketing service module 244: detailed ticketing service module
246: SNS service module

Claims (16)

A real estate sale information collecting unit for receiving building information from outside and collecting real estate sale information including household information related to the building information;
Grouping the collected real estate listing information by a plurality of predetermined criteria, calculating and indexing ticker information according to the grouped listing information, analyzing ticker information on the grouped listing information, Real estate market information management department; And
A real estate market information service unit for providing market information in response to the request of the user based on the market information analyzed according to the grouped seller information when a search for the seller information to be searched from the outside is requested;
The real time ticketing service server. The method according to claim 1,
The ticker information management unit,
Further comprising an error processing module for processing an error for the indexed ticker information when the indexed ticker information does not correspond to a preset condition, The real time ticketing service server. The information processing apparatus according to claim 1,
A collecting module for collecting the real estate sale information by at least one method of collecting the real estate information, collecting it through big data of the public agency, directly receiving from the external company, or automatically collecting the information about the sale of the real estate company;
If the building information or the household information does not coincide with the large building information as a result of comparing the input building information and the household information with the acquired building information, And a correction module for correcting the building information or the generation information,
Checking whether the real estate listing information including the corrected building information or the household information is registered in duplicate, and deleting the duplicated listing information according to the inspection result. 4. The apparatus of claim 3,
If the building information does not coincide with the building major, a title part of the building major is inquired to correct the building information,
And if said generation information does not coincide with said building lot, corrects said generation information by inquiring the proper portion of said building lot. 3. The method according to claim 2,
When comparing the average price of the same area, it can be seen that when the price of the premises is higher than the price of the newly built property, the price of the premises is higher than the price of the new premises, Wherein the at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the at least one of the plurality of users. The method according to claim 1,
A predictive model generation unit for generating a ticker information prediction model for predicting future ticker information according to the seller information by learning based on past or current ticker information according to the collected real estate sale information; And
And a ticker information predicting unit for predicting future ticker information for the sale information based on the generated ticker information prediction model. The system according to claim 6,
Wherein the forecasting unit predicts the future ticker information based on the generated ticker information prediction model, further considering the number of people in the neighborhood of the real estate for sale. The method according to claim 6,
Wherein the prediction model generation unit generates the prediction model using at least one of a multiple regression analysis, an artificial neural network, a decision tree, and a Bayesian network. The method according to claim 1,
The real estate market information service unit,
A comprehensive ticketing service module for providing newly built real estate quotation information and prestored real estate quotation information of a specific selected area when the specific region is selected by the user;
A detailed price service module for providing new real estate market information and prestigious real estate market information for specific requirements including at least one of construction year, construction area, subway station distance, subway station distance, and room / bathroom number of the selected specific area ≪ / RTI >
Wherein the prestigious real estate market information includes a sale price, a premise price, and a rent tax price of the premises property, and includes price information according to the number of years of the construction date. A real estate sale information collecting unit for receiving building information from outside and collecting real estate sale information including household information related to the building information, grouping the collected real estate sale information by a plurality of predetermined criteria, A real estate market information management unit for calculating and indexing market information according to the grouped seller information, analyzing market information for the grouped seller information, and providing ticker information analyzed according to the grouped seller information A real estate market service server including a real estate market information service section; And
A user terminal for inputting sale information to be searched by a user and displaying the market information provided from the real estate market service server corresponding to the inputted sale information on a screen;
A real time ticketing service system. 11. The method of claim 10,
The ticker information management unit determines that a specific event has occurred when the indexed ticker information does not correspond to a predetermined condition, and when the unusual event is generated as a result of the determination, the ticker information management unit processes an error for the indexed ticker information Further comprising an error handling module. The information processing apparatus according to claim 10,
A collecting module for collecting the real estate sale information by at least one method of collecting the real estate information, collecting it through big data of the public agency, directly receiving from the external company, or automatically collecting the information about the sale of the real estate company;
If the building information or the household information does not coincide with the large building information as a result of comparing the input building information and the household information with the acquired building information, And a correction module for correcting the building information or the generation information,
Checking whether the real estate listing information including the corrected building information or household information is registered in a duplicate manner, and deleting the duplicated listing information according to the inspection result. 11. The method of claim 10,
A predictive model generation unit for generating a ticker information prediction model for predicting future ticker information according to the seller information by learning based on past or current ticker information according to the collected real estate sale information; And
And a ticker information predicting unit for predicting future ticker information for the sale information based on the generated ticker information prediction model. Receiving building information from outside and collecting real estate sale information including generation information related to the building information;
Grouping the collected real estate listing information by a plurality of predetermined criteria, calculating and indexing ticker information according to the grouped listing information, analyzing ticker information on the grouped listing information, ; And
Providing ticker information in response to a request of a user based on ticker information analyzed according to the grouped seller information when a search for a seller information to be searched from the outside is requested;
The method comprising the steps of: 15. The method of claim 14, wherein analyzing the ticker information comprises:
A module for determining whether a peculiarity has occurred when the indexed ticker information does not correspond to a preset condition, and a step for processing an error for the indexed ticker information when the peculiarity is generated Further comprising the steps of: 15. The method of claim 14,
Analyzing the ticker information comprises:
Further comprising the steps of: determining that a peculiarity has occurred when the indexed ticker information does not correspond to a preset condition; and processing the error for the indexed ticker information when the peculiarity has occurred To provide a real estate ticketing service.

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