KR20110059070A - Method for providing real-estate information and system therefor - Google Patents

Abstract

PURPOSE: A real estate information providing method and system for the same are provided to improve a picture quality of a real estate search service by providing optimized real estate information which coincides with an intention of a user. CONSTITUTION: An input receiver(110) receives query language related to a real estate form a user. An inquiry analyzer(120) determines real estate information type related to the query language by analyzing the received query word. A searcher(140) performs a search processes corresponding to the determined real estate information type. The searcher searches real estate information concides with the received query word. An output unit(160) provides the searched real estate information to a user according to the determined real estate information type.

Description

METHOD FOR PROVIDING REAL-ESTATE INFORMATION AND SYSTEM THEREFOR}

The present invention relates generally to a method and system for providing real estate information, and more particularly, to a method and system for providing real estate information based on a user's query analysis for real estate search.

In the past, in real estate transactions, direct transactions between the companies and offline transactions through intermediaries made up most of the real estate transactions.

In this traditional type of real estate transaction, the number of real estate items handled was limited and thus the user's choice was limited.

In addition, even if there is an item of the user desired conditions, it was difficult to quickly and accurately deliver the optimal real estate information according to the user.

However, this off-line transaction method is the most primitive method for real estate transactions, but there are no other alternatives, and it is still used mainly. Until recently, real estate brokerage has been gradually attempted online due to the spread of the Internet and the development of communication networks.

However, the conventional Internet real estate information service for online real estate transaction cannot provide the real estate information that is suitable for the tastes and interests of users or information users in real time, and the related real estate information possessed by the real estate information service. It simply passes it in a formatted format. Therefore, since it is not easy to meet the requirements of various users for each individual, the use of information is inconvenient, and a lot of time was spent searching for real estate items that meet the conditions desired by the user.

Moreover, even if the goods information disclosed by the internet real estate information service is directly carried out between the real estate consumer and the provider, the manager of the information service cannot determine whether the transaction for the goods is still in progress or is finished. Completed listings are not listed in the state of being deleted, or are sometimes attracted to users because they are notified of the manager's management or the user's lack of recognition and the transaction price is lower than the actual transaction price.

Such limitations and disadvantages of the prior art will become more apparent to those skilled in the art when comparing the present invention described in the following detailed description with reference to the accompanying drawings.

The present invention has been made to solve the above-mentioned problems, and an object of the present invention is to provide real estate information to a user in real time after analyzing the optimized real estate information corresponding to the user's intention in relation to the search for real estate information.

In addition, an object of the present invention is to provide the searched information to the user terminal according to the most suitable screen configuration, based on the type of query of the user in providing the searched information.

In addition, the present invention in providing the real estate information online, the state of the real estate of the real estate related to the real estate information is periodically checked and the real estate information is updated to provide only the genuine information that can be practically available to the user The purpose.

In order to achieve the above object, according to an aspect of the present invention, a method for providing real estate information,

Receiving a query relating to real estate from a user;

Analyzing the received query to determine a property information type associated with the query;

Selecting a search process corresponding to the determined real estate information type from preset search processes;

Retrieving information corresponding to the received query from a real estate product information database according to the selected retrieval process; And

And providing information corresponding to the searched query word to the user in a preset form according to the determined real estate information type.

Preferably, the step of providing to the user, the web page structure according to the determined real estate information type, characterized in that to provide the user with information corresponding to the searched query.

Preferably, the determining of the real estate information type comprises: determining at least one query attribute from the received query, determining a query pattern by combining the determined at least one query attribute, and the determined query And determining the type of real estate information corresponding to the pattern.

The determining of the query attribute may include determining that the query attribute has a high priority when at least some of the query words correspond to two or more query attributes at the same time.

Preferably, the step of determining the query attribute, wherein a part of the query is a brand name, real estate name, housing type or type of sale, price or area, city, state, county or district, name, town, or town, In the case of at least two or more query attributes among the names of the town or village, the priority of the corresponding query attributes is determined.

Preferably, the step of retrieving information corresponding to the received query includes searching for a lot of the complexes when the query attribute of a part of the query is a multi-family housing type, and query attribute of some of the query. In the case of this non-residential housing type, characterized in that it comprises the step of searching a lot of the area.

Preferably, the real estate article information database is monitored at predetermined intervals so that some of the data registered in the real estate article information database is not authentic information, or if the predetermined time elapses after registration, the corresponding data is deleted. It is done.

In order to achieve the above object, according to one aspect of the present invention, a computer-readable recording medium has a program recorded thereon for executing the method.

In order to achieve the above object, according to an aspect of the present invention, the real estate information providing system,

An input receiver configured to receive a real estate related query from a user;

A query analyzer configured to analyze the received query and determine a property information type associated with the query;

A search unit which performs a search process corresponding to the type of real estate information determined by the query analyzer, and searches real estate information corresponding to the received query word from a database in which real estate product information is stored; And

And an output unit for providing the searched real estate information to a user in a preset form according to the real estate information type determined by the query analyzing unit.

Preferably, the output unit provides the searched real estate information to the user by varying the web page structure according to the real estate information type determined by the query analyzing unit.

Preferably, the query analyzer determines a query pattern by combining a first decision unit determining at least one query attribute from the received query word and the at least one query attribute received from the first determiner. And a second determination unit that determines a property information type corresponding to the determined query pattern.

Preferably, the query analyzing unit is connected to the first determining unit to determine a priority between the two or more query attributes when at least some of the received query words correspond to two or more query attributes at the same time. Contains wealth.

Preferably, the query analyzing unit, part of the query is a brand name, real estate name, housing type or type of sale, price or area, the name of the region of the city, province, county or district, complex name or town, town, town or town In the case of at least two or more query attributes, the priority of the corresponding duplicate query attributes is determined.

Preferably, the search unit searches a complex that is frequently viewed when the query attribute of a part of the query is a multi-family house, and searches a lot of regions when the query attribute of a part of the query is a non-unit house type. Characterized in that.

Preferably, the real estate information providing system further comprises a monitoring unit connected to the real estate object information database, characterized in that for changing the data in the real estate object information database by the monitoring unit.

Preferably, the monitoring unit deletes the data when some of the data registered in the real estate object information database is not authentic information or is maintained for a predetermined time after registration.

According to the present invention, unlike the conventional real estate search service, it is possible to provide the optimized real estate information according to the user's intention, thereby improving the quality of the real estate search service.

Further, according to the present invention, based on the user's query type, by providing the searched information to the user terminal according to the screen configuration most suitable for the query type, the user can facilitate further search using the screen configuration presented. Therefore, the convenience and speed of the search can be achieved.

In addition, according to the present invention, in providing the real estate information, since the status of the actual real estate objects related to the real estate information is periodically checked and the real estate information is updated, only authentic information is provided to the user, thereby improving reliability of the real estate search service. do.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. For simplicity and clarity of the drawings, parts not related to the description are omitted, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, it is intended that it may further include other components, without excluding other components, unless specifically stated otherwise.

1 is a diagram illustrating a system environment in which a method for providing real estate information is implemented based on analysis of user query contents according to an embodiment of the present invention. As shown in FIG. 1, the entire system of the present invention may include a plurality of user terminals 300, a communication network 200, and a server 100.

The plurality of user terminals 300 establish a communication connection with the server 100 through the communication network 200. The plurality of user terminals 300 may be provided with a web page including information corresponding to the query by accessing the server 100 and inputting a query relating to real estate.

The plurality of user terminals 300 are digital devices that include a function of allowing a user to communicate after connecting to the server 100 through the communication network 200. The plurality of user terminals 300 may include a desktop computer, a notebook computer, a workstation, a PDA, a web pad. For example, any digital device having memory means such as a mobile phone and a microprocessor can be adopted as the user terminal 300 according to the present invention. In addition, the user terminal 300 may further include a web browser (not shown) program for receiving content. The detailed configuration of the user terminal 300 will be described later with reference to FIG. 2.

Meanwhile, the communication network 200 is a network supporting communication between the server 100 illustrated in FIG. 3 and the plurality of user terminals 300. The configuration of the underlying communication technology that makes up the communication network 200 does not have a substantial impact on the implementation of the present invention.

In addition, the communication network 200 may be configured regardless of the communication mode, such as wired and wireless. The communication network 200 may be configured based on any kind of communication technology that enables information exchange between the system of the server 100 and the terminal 300. In addition, various known techniques for reliability and security of the information exchange process may be applied to the communication network 200.

In addition, the server 100 according to an embodiment of the present invention analyzes a query related to real estate search inputted by a user and transmitted through the communication network 200, and provides corresponding real estate search information to the user terminal 300. . The detailed configuration of the server 100 will be described later.

2 is a block diagram illustrating a configuration of the user terminal 300 illustrated in FIG. 1.

The user terminal 300 may include an input unit 310, a display unit 320, and a transceiver 330.

The input unit 310 may be, for example, a keyboard of a personal computer, a stylus pen, or the like, and a user may input a query related to a property to be searched by the user using the input unit 310.

The display unit 320 displays status information, multimedia information, and / or key buttons generated while the user terminal 300 is operating, and allows the user to check the contents currently being input through the input unit 310 or the server ( 100) displays a web page received from. The display unit 320 may be implemented by known display means, for example, a liquid crystal display (LCD).

The transceiver 330 performs a function of enabling wired and wireless communication with an external device according to a predetermined communication standard. The transceiver 330 is connected to the communication network 200 and transmits the user's query contents through the communication network 200 to the server 100. In addition to transmitting to the side, the real estate information provided by the server 100 may be a function of receiving through the communication network 200. The transceiver 330 may be a wireless communication module such as a radio frequency (RF) module, but is not limited thereto. In FIG. 2, the transceiver 300 is illustrated as one block, but the transmitter and receiver are separated separately. It will be appreciated by those skilled in the art that the configuration may be of a suitable nature.

Hereinafter, the internal structure of the server 100 and the function of each component will be described with reference to FIGS. 3 and 4.

3 is a block diagram showing an internal configuration of a server for providing real estate information according to an embodiment of the present invention, Figure 4 is a block diagram showing the internal configuration of the query analysis unit 120 of FIG.

Referring to FIG. 3, according to an embodiment of the present invention, the server 100 may include an input receiver 110, a query analyzer 120, a query attribute DB (Database) 130, a searcher 140, and a real estate agent. The article information DB 150, the output unit 160, the monitoring unit 170, and the updater 180 may be configured to be included. In FIG. 3, the query attribute DB 130 and the real estate product information DB 150 are shown as a lower configuration of the server 100, but are physically separated from the server 100, but are electrically connected or communicatively connected. It can also be configured.

The input receiver 110 serves to receive a query word transmitted from the user terminal 300 through the communication network 200, and may be a communication module capable of wired or wireless communication with an external device according to a predetermined communication standard.

4, the query analyzer 120 may further include a query attribute determiner 121, a query pattern determiner 122, a priority determiner 123, and a search process selector 124. . In addition, the query analyzing unit 120 takes the above-described configuration, analyzes the user's query content received from the input receiving unit 110 based on the query attribute and the query pattern, and then searches for the real estate information for which the user requests a search. The type may be determined, a search process suitable for the query word may be selected, and the search result 140 may be provided to the search unit 140.

Here, the query attribute determination unit 121 refers to a query of the user received from the input receiving unit 110 with reference to a brand name dictionary, a real estate representative dictionary, a local name dictionary, and a complex name dictionary stored in the query attribute DB 130. Based on the attribute table, it is possible to determine the attribute of the query written by the user.

Here, the query attribute table may be configured as shown in Table 1 below.

Query attribute User Query Example Brand name Apartment / resident complex of Raemian and Blooming Real Estate Name Representative keywords related to real estate transactions such as real estate, real estate sales, real estate sales, real estate information, and real estate transactions Name Names of general complexes of apartment houses such as "Banpozai" and Chinese language complexes of apartment houses such as "Korean Air" Local people Names of cities in the provinces, counties, and districts, names of towns in towns, towns and villages, names of towns, and real estate-specific areas such as residential areas or near train stations. Housing type Apartment and non-public housing type such as apartment, officetel, residential complex, apartment pre-sale, reconstruction, studio, villa / row, single / multi-family Type of sale Sale, charter, rent, sale, auction, quote price Price indications such as n thousand n hundred n + area Area display such as "flat" and "balance" or area display such as "square meter" and "m2" Other query Query remaining unresolved

In one embodiment according to the present invention, for example, if the query received by the input receiving unit 110 is "raemian", if it is determined that the information in the brand name dictionary with reference to the brand name dictionary, the query attribute table On the basis of this, the attribute of the query word of "raemian" can be determined as "brand name". In addition, for example, a real estate representative that indicates that the user's query content is related to real estate such as "real estate" to "real estate sale", "real estate sale", "real estate sale", "real estate transaction", and "real estate quote". When a keyword is included in at least part of a user's query, the query attribute of that part becomes "real estate name."

In addition, the query word is composed of a local name corresponding to a city / province / county / gu or a local name corresponding to an eup / myeon / dong, such as "Gangnam-gu" or "Yeoksam-dong", or near a station such as "Seoul Station (nearby)". When configured with a local name, the query attribute of the user may be divided into "local name". In addition to administrative districts, by providing real estate search services by dividing real estate-specific region names such as residential districts or stations near "region names", it is possible to more closely match the real estate transactions and users' intentions.

Also, if the query is "apartment", the attribute of the corresponding query is determined as "housing type" based on the query attribute table. If the query is "sales" or "monthly", the attribute of the query is "marketing type". It can be determined.

On the other hand, in Table 1, the common house means an apartment, officetel, residential complex, reconstruction, apartment sale right, residential complex sale right, officetel sale right. In addition, non-shared house means one-room, villa / row, single / multi-family, redevelopment, rural / farm house, office, mall, mall building, mall house, factory / warehouse, land / forest.

Here, the types or classifications of query attributes are not limited to the examples shown in Table 1, and the query attributes listed in Table 1 may be further subdivided or additionally include additional query attributes, and may be changed according to real estate transaction conditions. Of course it can. For example, it is understood that the type of housing or the type of sale can be changed by the customs of the real estate traders or the provisions of the law.

In addition, the brand name dictionary or the complex name dictionary in the query attribute DB 130 should also be changed according to the transaction situation, and the updater 180 may perform this function. That is, the updater 180 may be configured to update the query attribute DB 130 once a day, so that a brand dictionary or a complex name, etc., may represent data corresponding to an actual transaction.

Again, referring to Table 1, the query attributes of the user may be divided into a total of nine query attributes based on the query attribute classification table of Table 1, for example. However, a user using the real estate search service of the present invention may not input only a word or a search word having a single query attribute, but input a real estate search term as a combination of at least one or more search terms corresponding to a plurality of query attributes. You may. By doing so, the user can freely create and enter a search word that expresses the information of the real estate item he or she wants to search, thereby saving the effort and time required to search for the real estate that meets the conditions, You will be provided with real estate search results that best match your needs. Therefore, the query analyzing unit 120 according to the present invention may determine the query attribute for each part when the user's query word may be combined with more than one word.

Meanwhile, referring back to FIG. 4, the priority judging unit 123 prioritizes the brand name rather than the name only when the query word input by the user corresponds to, for example, both a “brand name” or a “only name”. By treating high, the query attribute of the query can be determined to be "brand name". That is, in determining the query attribute, the priority decision unit 123 may determine the attribute of the query with a query attribute having a high priority when at least a part of the query corresponds to two or more query attributes at the same time. In determining the ranking, the priority determination unit 123 may be configured to determine the priority of two or more of the query attributes listed in Table 1 above.

In addition, the priority decision unit 123 may transfer the query attribute determined by the user to the query attribute decision unit 121. In FIG. 4, the query attribute decision unit 121 and the priority decision unit 123 are shown as separate blocks, but the present invention is not limited thereto. In accordance with an embodiment, two determination units 121 may be used. And 123 may be composed of one merged block.

According to an embodiment of the present invention, with respect to the priority of the query word, as shown in FIG. 7 by way of example only, brand name> real estate name> type of housing or type of sale> price or area> region name (state / province) / District / district)> complex name> region name (eup / myeon / dong or village)> other non-parsed query. However, this priority may be configured to be changed by the administrator of the server according to the transaction situation. Accordingly, the present invention should not be construed as limited to the specific order in which the priorities are listed.

As described above, the present invention analyzes the user's query words according to these priorities, and thus, in providing the real estate information service, it is possible to provide more information that meets the user's intention. In the case of inputting ", the same apartment complex as the query may exist, but in view of most users, it should be regarded as referring to the apartment brand name" Samsung Raemian ". That is, when the query analyzing unit 120 determines the query attribute of "Ramian", in the analysis of the query words corresponding to both the brand name and the complex name, the priority decision unit 123 has a higher priority to the brand name. By ranking, the query can be treated as referring to a brand name. For example, if a user inputs "Daebang apartment" as a query, it can be interpreted to mean "apartment in Daebang-dong area" as well as "apartment complex with the name Daebang apartment". This is because the query word "daebang" may correspond to the query attribute of both "region name (eup / myeon / dong)" and "only name". In this case, the query analyzing unit 120 interprets the property of the complex name as having a higher priority by the priority decision unit 123, so that the "apartment apartment" is treated as an apartment complex with the complex name "the large apartment". Can be.

On the other hand, according to an embodiment of the present invention, the query pattern determination unit 122 determines the type of the query attribute provided by the user is a combination of query attributes according to the result of the query attribute determination 121 In addition, the type of real estate information that should be provided as a search result can be determined. That is, for example, if the query entered by the user is "Gangnam Real Estate", the query attribute determination 121 may determine the contents of the query as "area name (state / province / county / district)" and "real estate name". As a combination, it is possible to determine the individual attributes of each part of the query, and the query pattern determination unit 122 determines that the user's query is " area name (state / province / county / gu) + real estate name " It may be determined to have a pattern, and based on the query pattern table shown in Table 2 below, the type of real estate information desired by the user may be determined as a “representative type”. Here, the structure of Table 2 is as follows.

Property Information Type Query Pattern Example of inquiry Brand type Brand name Raemian Representative Real estate name, housing type (partial), type of sale (partial) Real estate, real estate quote, gangnam real estate, apartment, sale, lease, apartment sale Map Region name + (housing type) + (sale type) + (price) + (area) Seoul, Gangnam + (apartment) + (charter) + (300 million) + (30 pyeong) Complex Complex name + (housing type) + (sale type) + (price) + (area) Southeast, Piltop, Banpozai, Korean Air + Apartment + 30pyeong List Type Type of residence + (area or price), type of sale + (area or price) Apartment + 30pyeong + (500 million), Sale + 30pyeong

Here, the "representative type" of the type of real estate information is a query pattern inputted when the user wants to obtain general information about the real estate. When a representative keyword related to real estate is entered alone, such as "real estate quote". Of course, it may also include a case where a search word including a combination of "region name" and "real estate name" among query attributes, such as "Gangnam real estate quote", is entered as a query. In addition, the term "apartment", "charter", as well as a case in which the user's intention to search for general information about real estate is directly expressed in the search term entered by the user, such as "real estate quote" or "property for sale." As such, the representative keywords related to real estate among the query attributes are not used, but are expressed as "housing type", "sale type" or "housing type + sale type", which indirectly expresses the user's intention to search general information about real estate. Can also be classified as "representative".

In addition, "map type" in the type of real estate information is a case of a query pattern that is input when a user wants to acquire real estate information of a specific region. Of course, this may include a case where the local name is combined with other query attributes, such as "Gangnam apartment charter 330 pyeong" or "Yeoksam-dong 100 pyeong".

In addition, "only type" of the type of real estate information is a case of a query pattern that a user inputs when a user wants to acquire real estate information of a specific complex. A single complex name is entered without the query being composed of a combination of query attributes of various attributes. Of course, this may include a case where the complex name is combined with other query attributes, such as "Sapper's apartment charter 330 pyeong" or "Korean Air 30 pyeong".

In addition, the "list of listing" of the type of real estate information is a case of a query pattern that is input when the user wants to acquire information related to the real estate for sale in the form of a list, and the query is "apartment + 30 pyeong + (500 million)", As in the case of "sales + 30 pyeong", the query pattern is "housing type + area", "housing type + price", "housing type + area + price" or "housing type + area", "sale type + price", This may be the case if it consists of "type of sale + area + price".

Referring back to FIG. 4, the query pattern determination unit 122 determines the pattern of the query input by the user based on the query pattern table as shown in Table 2 and indicates the type of real estate information as a search result corresponding thereto. Representative "," map "," only "and" list ".

Search process selection unit 124 according to an embodiment of the present invention, the search process of one of the representative, map, complex, or list listing process, depending on the type of real estate information determined by the query pattern determination unit 122 Can be selected. However, the present invention is not limited thereto, and the search process selecting unit 124 may be configured to include a plurality of selectable search processes according to a user's query type, and the number of search processes reflects transaction customs. The server side administrator can change it.

Search process selection unit 124 according to the present invention, for example, if the content of the user's query "separator's apartment rent 330 pyeong", the query pattern is "only name + housing type + sales form + price + area" Hence, the type of real estate information desired by the user becomes "only". Accordingly, the search process selecting unit 124 may search the real estate information according to the "single type" search process, so that the searching unit 140 to be described later in searching for the real estate information corresponding to the query is "single type". "You can select the search process. The search process for the representative type, map type, complex type, and listing type will be described later.

In FIG. 3, the query pattern determiner 122 and the search processor selector 124 are illustrated as separate blocks, but these two blocks may be integrated into one block. For example, the query pattern may be determined in one integrated block to determine which search process is appropriate for the property information type according to the user's query type.

Referring back to FIG. 3, the searcher 140 proceeds with the search process for the user query according to the determined search process, and is determined by the query analyzer 120 from the real estate product information DB 150, which will be described in detail later. Only the information on the real estate object corresponding to the content of the query can be searched or extracted and provided to the output unit 160. That is, since the real estate goods information DB 150 is a database that includes all information about real estate goods held by the provider or manager of the real estate information service, the searcher 140 may identify the user's desired information in this database. Only information about the real estate may be extracted and provided to the output unit 160.

The output unit 160 may be configured to receive a property information corresponding to a user query from the searcher 140 and provide the same to a user through a communication network.

In this case, the output unit 160 may output the searched real estate information by varying the output form for each real estate information type so that web pages of different formats are provided to the user terminal 300 according to the real estate information type. That is, when the real estate information type is "representative", the web page provided to the user terminal 300 may be configured as shown in (a) to (b) of Figure 8, if the "map" It may be configured in the form as shown in (a) to (d) of Figure 9, the case of "only" may be configured as in the form of (a) to (b) of FIG. In the case of may be configured as shown in (a) to (b) of FIG. This is different from the configuration of the web page provided to the user terminal 300 according to the type of real estate information required by the user, and the configuration of the information included according to the different, so as to search for the type of the real estate information You can provide information that is more in line with your intentions. The structure of the web page provided to the user will be described later with reference to FIGS. 8 to 11.

Referring again to FIG. 3, the real estate property information DB 150 is a database including real estate information data that a user can substantially use in connection with real estate transactions.

That is, the real estate seller or the landlord may store information about the real estate item that he or she wants to trade in the real estate registration information DB (not shown) provided on the operator side using the communication network 200. The administrator of the server may register the real estate. By monitoring the data stored in the information DB (not shown), only some of these data can be configured to be stored in the real estate information 150. To this end, the server 100 checks the contents of the real estate registration information DB (not shown) from time to time and checks whether or not the information on each real estate is genuine and provides only the mall information to the real estate product information DB 150. can do. For example, the server 100 may be based on the owner, the equilibrium, the transaction price, etc. of the property stored in the real estate registration information DB (not shown) based on authorized data such as a registered copy, or a third party such as an authorized brokerage office. Upon receiving a report from the user, the authenticity of the real estate product information is checked, and if the authenticity is registered, the real estate information is registered in the real estate product information DB 150 or from the time when the information is registered in the real estate registration information DB 151. Since the real estate information over a certain period of time may be the information on which the real estate transaction is completed, the real estate information may have a function of deleting from the real estate product information DB 150. By doing so, since the real estate product information stored in the real estate product information DB 150 retains only authentic data that is trusted by the real estate consumer, that is, the user, the user trusts the result of the real estate search provided from the server 100 to the real estate transaction. It can be used substantially, and the user's convenience can be aimed at.

Hereinafter, when a user inputs a search term related to real estate according to an embodiment of the present invention, a method of analyzing a user's query in a server and providing a search result optimized to the user's intention to the user terminal will be described. do.

5 is a flowchart illustrating a method of providing real estate information according to an embodiment of the present invention. 5 starts from step S510. In operation S520, the server 100 receives the query word transmitted from the user terminal 300 through the input receiver 110 (S520). Here, the input receiver 110 may be a communication module capable of wired or wireless communication with an external device according to a predetermined communication standard, and may be any known receiver.

 Next, in step S530, the query analyzing unit 120 analyzes the attributes of the user's query word by referring to the query attribute DB 130, determines a pattern of the query word, and selects an appropriate search process (S530).

That is, the query attribute determination unit 121 of the query analyzing unit 120 stores the user's query received from the input receiving unit 110 in a brand name dictionary, real estate representative dictionary, local name dictionary, and complex name stored in the query attribute DB 130. With reference to the dictionary, it is possible to determine the attributes of the query written by the user based on the query attribute table, the query pattern determination unit 122 according to the result of the query attribute determination 121, the user provided The type of the query attribute may be determined to determine the type of the query attribute, and the type of the real estate information to be provided as a result of the real estate search corresponding to the user's search intention may be determined. The search process selection unit 124 may query the query pattern. According to the type of real estate information determined by the determination unit 122, an appropriate real estate search process may be selected. For example, the search process selecting unit 124 may select a representative search process, a map type search process, a complex type search process, and a list listing type search process according to a predetermined type of real estate information. Details of the search process will be described later.

In operation S540, the searcher 140 searches for information corresponding to the user query from the real estate product information DB 150 according to the user's query pattern and the selected search process method. That is, the search unit 140 proceeds with the search process for the user query according to the determined search process, and from the real estate product information DB 150 to the real estate product that matches the contents of the query determined by the query analysis unit 120. Only relevant information may be extracted and provided to the output unit 160.

Next, the output unit 160 provides the real estate information provided from the search unit 140 to the user terminal 300 in a preset format according to the real estate information type (S550). As a result, the user may check the real estate information transmitted from the server 100 through the display unit 320 of the terminal 300.

Hereinafter, specific contents of the retrieval process according to the type of real estate information will be described.

Representative Search Process

When the real estate information type determined by the query pattern determination unit 122 is "representative type", the search process selecting unit 124 selects a representative search process. Hereinafter, a search method based on a query pattern in a representative search process will be described.

The search unit 140 is a case where the user's query is made of a real estate name keyword alone, a real estate name and a region name are combined, or a housing type and a sale type are made alone or in combination. If it is determined that the relevant general information is to be searched, a representative search process can be executed.

The representative search process searches relevant real estate information in terms of the area where the real estate corresponding to the user's query is located, the real estate market price and the sale information, and whether the type of housing entered by the user is a multi-family type or a non-unit type housing type. The search method can be different. Here, common housing means apartments, officetels, residential complexes, reconstructions, apartments for sale, residential complexes, officetels for sale, etc. It refers to the case of farm house, office, mall store, mall building, mall house, factory / warehouse, land / forest, building / building, lodging / condo, etc. The same applies to the description of other search processes below.

The representative search process is, for example, if the query pattern consists of real estate name keywords alone, for example, if the user query is "real estate quote" or "real estate", the real estate prices and sales information, maps, and many views of each region. The complex may be searched, and the search results may be provided to the user terminal 300 in a representative-shared house type as shown in FIG. In this case, the first web page provided to the user may provide a quote and a map of the real estate area of the current region that is IP-targeted, and many viewed complexes. That is, even if a user misses a region name, the administrator of the server can satisfy the search intention of the user by performing a representative search process for the current region that is IP-targeted. You can also change your current IP-targeted region.

In addition, the representative search process includes a complex in which a user query includes a specific housing type, and a classification of the housing type corresponds to an apartment type. Search. That is, the list of the housing type (eg, apartment) that the user inquired is searched for a list of the complexes, and the search result is provided to the user terminal 300 in the representative-shared house type as shown in FIG. Can be.

On the other hand, the representative search process searches a large number of areas of the non-shared housing when the user's query includes a specific housing type and the classification of the housing type corresponds to the non-shared house type. That is, the user searches the list of the most viewed areas (eg, studios) of the residential form inquired by the user, and provides the search results to the user terminal 300 in the representative-non-public housing type as shown in FIG. can do.

In addition, if the query pattern consists of a combination of non-public housing and some types of sales, ie sales, charter, monthly rent, etc. Can be provided as a search result.

As such, in the representative search process, the difference between the search method and the search result when the housing type is a multi-unit housing and a non-shared house is to provide the real estate information that most closely matches the intention and transaction status of most users. For sake.

On the other hand, if the query pattern is part of the sales form, that is, one of "sales", "charter" and "monthly rent" and there is no housing form, the apartment, residential complex, and reconstruction may be searched by default. However, it is possible to set a different form in addition to the apartment, residential complex, reconstruction as the search form by default within the scope of the present invention.

On the other hand, if the query pattern is a local name (eup / myeon / dong) + real estate name, the property search may not be performed.

Map Search Process

When the real estate information type determined by the query pattern determination unit 122 is "map", the search process selecting unit 124 selects a map search process. Hereinafter, a search method based on a query pattern in a mapped search process will be described.

The search unit 140 maps when the user's query is made up of the area name alone or when the user's search intention is to obtain real estate information of a specific area through a query, when the user's query is composed of the area name alone or a combination of the area name and other query attributes. Type search process

In this case, the supervised search process may vary the search method depending on whether the corresponding region name of the part corresponding to the region name in the user query is the name of a city / province / county / gu or a region name of a town / myeon / dong or village. .

In addition, the map type search process may vary the search method depending on whether the type of housing type input by the user is a multi-family type or a non-public type. Here, the distinction between MDU type and non-MOD type is the same as that described in the above-described representative search process.

On the other hand, in the supervised search process, if there is no dwelling type, it is possible to search by default on apartment, residential complex, and reconstruction. However, it is possible to set a different form in addition to the apartment, residential complex, reconstruction as the search form by default within the scope of the present invention.

In the supervised search process, when the user's query includes the city / province / county / gu district name, and the apartment-type housing type, for example, the query is “Gangnam apartment charter 330 pyeong” and If done together, the property will be searched for the type of residence (i.e., apartment in the example), the type of sale (in the case of a charter), the price and the area requirements, and a map of the area, a lot of the complex and The property / quote may be searched and the search result may be provided to the user terminal 300 in a map-shared house type as shown in FIG.

In addition, the supervised search process is a case where the user's query includes a city / province / county / gu region name, and a non-residential housing type. For example, the query is “Gangnam studio rent 300 million 30 If you do a "Pyeong", you will search for the type of residence (ie, studio in the example), the type of sale (or rent in the example), the price and the real estate information corresponding to the area conditions. This area and the property is searched, and later search results may be provided to the user terminal 300 in a map-type non-shared house type as illustrated in (b) of FIG. 9.

As such, in the supervised search process, the difference between the search method and the search result when the housing type is a multi-unit house and a non-unit house is to provide real estate information that most closely matches the search intention and transaction status of most users. For sake.

On the other hand, the map-type search process, the case where the user's query includes the name of the town, town, town or town, including the housing type of the apartment, for example, the query is "Yeoksam-dong apartment rent 330 pyeong ", Search for the type of residence (i.e. apartment in the example), the type of sale (i.e. rent in the example), the price and the real estate information that meets the criteria for the area. The complex list and the listing / sale price of the multi-family house may be searched, and the search results may be provided to the user terminal 300 in the form of a map-unit house as shown in FIG. 9 (c). That is, unlike the case of FIG. 9A, a "only list" may be provided instead of "a lot of complexes". According to the wide range of the area to be searched, the information about the complex that the city / province / county / gu has more closely matched the user's intention, and the area corresponding to the town / town / dong or village For this reason, simply providing a list may be more relevant to user intent.

In addition, the supervised search process is a case where the user's query includes a town name of a town, a town, a town, or a town, and includes a non-residential housing type. Flat ", search for the type of residence (i.e. studio in the example), the type of sale (i.e. charter in the example), the price and the real estate information that meets the criteria for the area. The list of brokerages and the property is searched, and the search results may be provided to the user terminal 300 in a map-type non-shared house type as shown in FIG. 9 (d). That is, unlike the case of FIG. 9B, the "agent list" may be provided instead of the "many regions". This is also for the convenience of the user by providing the information most suitable for the user's intention to search for the real estate information.

On the other hand, the real estate search may not be made if the query pattern is made up of the local name alone, such as "Gangnam" or "Yeoksam-dong". That is, in this case, instead of the real estate search, other information other than the real estate related information may be provided as a search result in the order of the information that the general user searches frequently among the comprehensive information related to the area name.

Complex search process

When the real estate information type determined by the query pattern determination unit 122 is " only type ", the retrieval process selecting unit 124 selects the complex type retrieval process. Hereinafter, a search method based on a query pattern in a complex search process will be described.

The search unit 140 is a complex type when a user's query is composed of only a single name or a combination of a complex name and a different query attribute and the user's search intention is determined to acquire real estate information of a specific complex through a query. You can run the search process. However, since the housing type searched by the housing type search process does not include the query attribute for the non-public housing type.

In this case, the complex type search process can vary the search method depending on whether the complex name of the part corresponding to the complex name of the user query is the case of the name of the common apartment complex or the Chinese complex name. Here, the word "Chinese complex" means that when the user's query is "Korean Air Apartment", a word such as "Korean Air" may be used as the name of a specific airline or as the name of an apartment, and thus may be regarded as a Chinese complex name. .

In the complex search process, for example, if the query is entered as "Piltop apartment charter 120 million pyeong", and the query pattern is a general complex name + residential form + sale form + price + area, the corresponding residential form ( In other words, the property will be searched for the apartment, the type of sale (i.e. the charter in the example), the price and the size of the area. It is possible to search for information on other complexes located in different regions, name-only complex information, for sale / quotes, and later search results may be provided to the user terminal 300 in a complex-type form as shown in FIG. .

On the other hand, if, for example, the query pattern is Chinese word complex name + housing type + (sale type) + (price) + area, such as the case where the query word is "Korean Air Apartment 30 pyeong", the map to which the complex belongs, The information may be searched, and the search results may be provided to the user terminal 300 in a simple-middle word type as shown in FIG.

On the other hand, if a Chinese complex name such as "Korean Air" is input alone without being combined with other query attributes, it is a property of the word itself to search for "Korean Air Apartment Complex" or search for a specific airline. It may not be possible to provide a real estate search results because it is difficult to accurately determine the search intention of the user.

Property List Search Process

When the property information type determined by the query pattern determination unit 122 is "list of items", the search process selecting unit 124 selects a list of items type search process. A search method based on a query pattern in the list listing search process will be described.

Search unit 140, the user's query "housing type + area", "housing type + price", "housing type + area + price" or "sale type + area", "sale type + price", "sale type + Area + price " and the like, when the user's search intention is determined to obtain information related to real estate for sale in the form of a list through a query, the property list type search process can be executed.

In this case, the list listing type search process may vary the search method depending on whether the type of housing type input by the user is an apartment house type or a non-unit house type. Here, the distinction between MDU type and non-MOD type is the same as that described in the above-described representative search process.

On the other hand, in the list listing process, if there is no dwelling type, it is possible to search on the basis of apartments, residential complexes, and reconstructions by default. However, it is possible to set a different form in addition to the apartment, residential complex, reconstruction as the search form by default within the scope of the present invention.

In the list listing search process, when some of the user's search terms are the remaining queries without being analyzed by the query attribute determination 121, the real estate can be searched using the corresponding query portion as the name, and at this time, another query When input alone without combining with the attribute, it can be configured to execute the analysis in combination with the query attribute of one of housing type, region name, and trading type.

The list listing type search process searches for the property / quote of the current region queried by the user when the query pattern is a combination of a dwelling type that is different from a common dwelling type and a different query attribute. It can be provided to the user terminal 300 in the same listing type-shared housing type.

Also, for example, when the query pattern is a combination of a "non-communal housing type" housing type and another query attribute, the property of the current area queried by the user is searched, and the search result is as shown in FIG. It may be provided to the user terminal 300 in the form of listing-non-public housing.

In this case, the list listing search process may search for a property / quote of the current region that is IP-targeted when the user's query is a combination of a dwelling type and a different query attribute. If the query is a combination of a non-joint housing type and another query attribute, and does not include a region name, the IP-targeted current area can be searched. In other words, even if a user misses a region name, the user can perform a list-type search process for the current region that is IP-targeted to meet the user's intention of searching, and in consideration of real estate transactions or other circumstances, You can also change the current region you've targeted.

As described above, as a result of the user query analysis, the query analysis unit is determined according to whether the type of real estate information that the user wants to receive is "representative type", "map type", "only type", or "list of property type". The search process selection unit 124 in the 120 selects an appropriate search process, and the search unit 140 performs a search operation according to the selected search process to extract necessary data from the real estate product information DB 150. It can be configured to output.

6 to 7, a method of analyzing the user query by the query analyzer 120 of the present invention will be described in more detail.

6 is a flowchart illustrating a step of analyzing a user query according to an embodiment of the present invention, and FIG. 7 is a flowchart of priority determination applied when analyzing a user query.

6, starting from step S610, a step of receiving a user's query from the input receiver 110.

Next, in operation S620, the received query and the query attribute DB 130 read result are compared to each other to determine whether to match. That is, referring to the brand name dictionary, real estate representative dictionary, local name dictionary, and complex name dictionary stored in the query attribute DB 130, it is determined whether or not it matches the received user's query partially or entirely. Based on the attribute table, it is possible to determine the (partial to whole) attribute of the query word created by the user. That is, when the user inputs "lamian", it may be determined whether the corresponding query is a search word in the brand name dictionary, and when the user is in the brand name dictionary, the query attribute may be determined as "brand name". Here, the query attribute table is shown in Table 1 as described above.

Next, as in the case where the user's query is in the brand name dictionary and only in the name dictionary, there may be cases where one query word is matched with two or more of the dictionaries stored in the query attribute DB 130. In order to determine the attribute of the query, the attribute of the corresponding user query is finally determined according to the query analysis priority (step S630).

Thereafter, the query pattern determination unit 122 may determine that the user's query word is a combined pattern of one or more query attributes, based on the result of the query attribute determination 121, and the attribute of the data desired by the user according to the query pattern. That is, it is possible to determine the type of real estate information (step S640). Next, the search process selection unit 124 may select a search process most suitable for the type of the real estate information (step S650).

FIG. 7 is a flowchart for determining priority when analyzing a user query in relation to step S630 of FIG. 6.

In operation S710, the query analyzer 120 receives a user query from the input receiver 110. Next, in step S720, it is determined whether the corresponding query is a search word in a brand name dictionary stored in the query attribute DB 130, and it is determined whether the corresponding query is identical to the brand name. Here, the attribute of the query word is determined as "brand name". If it does not match, the process continues to step S730.

Next, in step S730, it is determined whether the corresponding query is a search word in the real estate representative name dictionary stored in the query attribute DB 130, and it is determined whether the corresponding query corresponds to the real estate representative query and if it matches, step S731. Proceeds to to determine the property of the query as "real estate name". If it does not match, the process continues to step S740.

Next, in step S740, it is determined whether the query is analyzed in a residential form or a sale form. If there is a match, the flow proceeds to step S741, where the attributes of the query form are set to "housing type" or "sale type" according to the matched content. Decided. If it does not match, the process continues to step S750.

Next, in step S 750, it is determined whether the corresponding query is analyzed by price or area, and if there is a match, the process proceeds to step S751 where the attribute of the query is determined to be "price" or "area" according to the matched content. . If it does not match, the process continues to step S760.

Next, in step S760, it is determined whether the corresponding query is a search word in a local name dictionary stored in the query attribute DB 130, and it is determined whether the corresponding query corresponds to a city name, a province, a county, a district name, and matches. In the case, the process proceeds to step S761, where the attribute of the query is determined to be " region name (city / province / county / gu) ". If it does not match, the process continues to step S770.

Next, in step S 770, it is determined whether the corresponding query is a search word in a jar name dictionary stored in the query attribute DB 130, and it is determined whether or not the query corresponds to the jar name. The attribute of the query word is determined as "only name". If it does not match, the process continues to step S780.

Next, in step S 780, it is determined whether the corresponding query is a search word in a local name dictionary stored in the query attribute DB 130, and it is determined whether the corresponding query corresponds to a town name of a town / myeon / dong or a town. If there is a match, the process proceeds to step S781 where the attribute of the query is determined as " region name (eup / myeon / dong) ". If it does not match, the flow continues to step S790.

Finally, step S790 classifies the query that has not been analyzed by step S710 to step S780 as the query attribute " Other query. &Quot;

As described above, when the priority is determined, when a user's query word overlaps with a plurality of dictionaries stored in the query attribute DB 130, the attribute of the corresponding query word may be determined as one.

 8 to 11, a user-provided format of searched result information according to real estate information type will be described according to an embodiment of the present invention. However, the present invention is not limited to the structure of a predetermined web page, and as the real estate traders' perceptions and trading customs change, the structure of the web page may vary.

FIG. 8 is a simplified diagram of a web page in which the real estate information retrieved by the representative search process is provided to the user when the type of real estate information to be searched by the query pattern determination unit 122 is "representative". The structure is shown. (A) of FIG. 8 is a case of the representative-unit house, and (b) is a case of the representative-non-unit house type.

On the other hand, when the type of real estate information that the user wants to search for is "representative", an example of the actual appearance of the web page provided to the user is shown in Figs. 12A and 12B. Here, FIG. 12A is an example of the case of the representative-type apartment, and FIG. 12B is an example of the case of the representative-type apartment. However, it should be understood that the present invention is not limited thereto.

Here, the common housing refers to the case where the "housing type" of the quality property is an apartment, an officetel, a residential complex, a reconstruction, an apartment sale right, a residential sale right, or an officetel sale right. In addition, non-shared house means one-room, villa / row, single / multi-family, redevelopment, rural / farm house, office, mall, mall building, mall house, factory / warehouse, land / forest. Hereinafter, the same applies to FIGS. 9 to 11.

Referring to FIG. 8A, the upper area 810 includes a region / quote / sale tab, so that a user selects regions, quotes, or sales from the tab 810 to display information on the next screen. You can make it available for further checks. In addition, the lower left area 820 may represent a place where the corresponding real estate property is located in a map so that the user may easily recognize it. In addition, the lower right area 830 may list information on the “viewed lots”, so that the user may individually select the listed items and further check them on the next screen. However, the position of each item of the tab area 810, the map unit 820, and the list 830 that are viewed much may be changed within the corresponding web page.

Referring to FIG. 8B, a map in which a place where a corresponding real estate property is located is provided in the left region 840, and a “many viewed regions” list may be provided in the right region 850. However, the information provided in the left to right areas may be mutually changed in position, or may be changed to an up and down arrangement instead of a left and right arrangement.

Here, (a) of FIG. 8 is a common house, so a general user may be interested in the “a lot of complexes” due to the property of the property, and FIG. 8 (b) is a non-shared house, Because the concept of "just" is hard to exist by nature, information corresponding to "many regions" can be useful to general users. Therefore, according to the present invention, according to the type of real estate information according to the user query, the configuration of the web page provided to the user or the information contained therein is different, so that the user's convenience and the time and effort required for searching can be reduced. To make it possible.

FIG. 9 is a simplified diagram of a web page for which real estate information retrieved according to a map search process is provided to a user when the type of real estate information to be searched by the query pattern determination unit 122 is "map". The structure is shown. (A) of FIG. 9 is a case of a city / province / county / gu map type-unit house, (b) is a case of a city / province / county / gu map type-unit house, and (c) is a town / state. This is the case of the Myeong-dong / Myeon-dong-shared house, and (d) is the case of the eup / myeon / dong-machi-non-house. Hereinafter, only parts different from those in FIG. 8 will be described, and overlapping descriptions will be omitted.

On the other hand, when the type of real estate information that the user wants to search for is "map", an example of the actual appearance of the web page provided to the user is shown in FIG. Figure 13a is an example of the case of the city / province / county / district map type-apartment, Figure 13b is an example of the case of town / district / dong map type-apartment. However, it should be understood that the present invention is not limited thereto.

FIG. 9 (a) shows the shape of a web page in the case of a city / state / county / gu map type-public housing type, and a map showing the area where the property is located is provided on the upper left side 910, and the upper right side ( 920) The information on the many-viewed complexes is provided, and a listing / quote tab 930 is provided at the bottom, so that the information can be checked by selecting information on the listing or information on the quotation according to the user's selection.

FIG. 9 (b) shows the shape of a web page in the case of a city / province / county / gu map type-non-public housing type, the upper left 940 map and the upper right 950 area information, the lower The selling area 930 may be provided in the selling area 930, and the selling area 930 may be provided with a list of information about the sale of the non-shared house in the area designated by the user as a search word.

(C) of FIG. 9 is a shape of a web page in the case of eup / myeon / dong or village map type-public housing type. Unlike FIG. 9 (a), FIG. 921 may be provided.

9 (d) is the shape of a web page in the case of eup / myeon / dong or village map type-non-public housing type. Unlike FIG. 951 may be provided. Therefore, the user can use the broker list 951 in the real estate transaction, and can use it for a quick transaction.

FIG. 10 is a simplified diagram of a web page in which the real estate information retrieved according to the complex type search process is provided to the user when the type of real estate information to be searched by the query pattern determination unit 122 is "only". The structure is shown.

On the other hand, if the type of real estate information that the user wants to search is "only", an example of the actual appearance of the web page provided to the user is shown in FIG. 14 is an example of the case of a complex-type complex name. However, it should be understood that the present invention is not limited thereto.

10 (a) shows the shape of a web page in the case of a complex type-common complex name, an upper left 1010 is provided with a map showing the location of the property, and an upper right 1020 is provided with information about the complex. The middle portion 1030 is provided with information about the same name only, the lower portion 1040 is provided with a sale / quote tab 930, according to the user's choice, You can check the information by selecting it.

10 (b) shows the shape of a web page in the case of a complex-middle complex name, a map showing the location of the real estate property is provided on the left 1050 and information on the complex is provided on the right 1060. Can be provided. Here, the word "Chinese complex" means that when the user's query is "Korean Air Apartment", a word such as "Korean Air" may be used as the name of a specific airline or as the name of an apartment, and thus may be regarded as a Chinese complex name. .

FIG. 11 illustrates a web page in which the real estate information retrieved according to the property list type search process is provided to the user when the type of real estate information to be searched by the query pattern determination unit 122 is "listed type." A simplified structure is shown.

On the other hand, when the type of real estate information that the user wants to search for is "list of listing", an example of the actual appearance of the web page provided to the user is shown in FIG. 15 is an example of the case of the listing type-shared house type. However, it should be understood that the present invention is not limited thereto.

FIG. 11 (a) shows the shape of a web page in the case of a list-type / house-owned type, and a sale / quote tab is provided, and information about the listing or information on the quote is selected according to a user's selection to check information. Can be. 11 (b) is a shape of a web page in the case of a list-type non-shared house type, and information about the sale of a non-shared house in a region designated by a user as a search word may be provided as a list.

According to another aspect of the present invention, the above-described real estate information providing method may be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, computer readable media may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transmission mechanism, and includes any information delivery media.

While the methods and systems of the present invention have been described in connection with specific embodiments, some or all of their components or operations may be implemented using a computer system having a general hardware architecture.

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

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 their equivalents should be construed as being included in the scope of the present invention. do.

1 is a diagram illustrating a system environment in which a method for providing real estate information is implemented based on analysis of user query contents according to an embodiment of the present invention.

2 is a block diagram illustrating a configuration of the user terminal 300 illustrated in FIG. 1.

3 is a block diagram showing an internal configuration of a server for providing real estate information according to an embodiment of the present invention.

4 is a block diagram illustrating an internal configuration of the query analyzer 120 of FIG. 3.

5 is a flowchart illustrating a method of providing real estate information according to an embodiment of the present invention. 6 is a flowchart illustrating the steps of analyzing a user query according to an embodiment of the present invention.

7 is a flowchart illustrating priority determination applied when analyzing a user query.

8 shows a simplified structure of a web page provided to a user when the real estate information type is representative.

9 illustrates a simplified structure of a web page provided to a user when the real estate information type is map type.

Fig. 10 shows a simplified structure of a web page provided to a user when the real estate information type is simple.

11 shows a simplified structure of a web page provided to a user when the real estate information type is a list type.

Fig. 12 shows an example of the actual appearance of the webpage provided to the user when the real estate information type is representative.

FIG. 13 shows an example of an actual appearance of a web page provided to a user when the property information type is map.

14 shows an example of the actual appearance of the web page provided to the user when the real estate information type is simple.

Fig. 15 shows an example of the actual appearance of the web page provided to the user when the real estate information type is a list type.

Claims (16)

Receiving a query relating to real estate from a user; Analyzing the received query to determine a property information type associated with the query; Selecting a search process corresponding to the determined real estate information type from preset search processes; Retrieving information corresponding to the received query from a real estate product information database according to the selected retrieval process; And And providing information corresponding to the searched query word to the user in a predetermined form according to the determined real estate information type. The method of claim 1, wherein the providing to the user comprises: And a web page structure according to the determined real estate information type to provide the user with information corresponding to the searched query. The method of claim 1, wherein the determining of the property information type comprises: Determining at least one query attribute from the received query, determining a query pattern by combining the determined at least one query attribute, and determining a real estate information type corresponding to the determined query pattern. Real estate information providing method, characterized in that. The method of claim 3, wherein the determining of the query attribute comprises determining that the query attribute has a high priority when at least some of the query words correspond to two or more query attributes at the same time. The method of claim 3, wherein the determining of the query attribute comprises: a part of the query word being a brand name, a real estate name, a housing type or a trading type, a price or an area, a region name, a complex name, or a town of a city, a province, a county, or a district. And at least two or more query attributes among the names of districts, towns, towns, and villages, determining priorities among the corresponding query attributes. The method of claim 3, wherein the retrieving information corresponding to the received query comprises: searching a lot of the complexes when the query attribute of a part of the query is in the form of a multi-family dwelling; If the quality of the query is a non-residential housing type, real estate information providing method comprising the step of searching a lot of the area. The method of claim 1, wherein the real estate article information database is monitored at a predetermined interval so that some of the data registered in the real estate article information database is not authentic information or is kept for a predetermined time after registration. Real estate information providing method, characterized in that. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 1 to 7. An input receiver configured to receive a real estate related query from a user; A query analyzer configured to analyze the received query and determine a property information type associated with the query; A search unit which performs a search process corresponding to the type of real estate information determined by the query analyzer, and searches real estate information corresponding to the received query word from a database in which real estate product information is stored; And And an output unit for providing the searched real estate information to a user in a preset form according to the real estate information type determined by the query analyzing unit. The real estate information providing system according to claim 9, wherein the output unit provides the searched real estate information to the user by changing a web page structure according to the real estate information type determined by the query analyzing unit. The method of claim 9, wherein the query analysis unit,  A first decision unit determining at least one query attribute from the received query word and the at least one query attribute received from the first determiner to determine a query pattern, and real estate information corresponding to the determined query pattern And a second determination unit for determining the type. The method of claim 11, wherein the query analysis unit, And a priority determination unit connected to the first determination unit and configured to determine a priority between the two or more query attributes when at least some of the received query words correspond to two or more query attributes at the same time. Informational system. The method of claim 11, wherein the query analysis unit, At least a portion of the query is at least two of a brand name, a real estate name, a type of housing or sale, a price or an area, a region name of a city, a province, a county or a district, a complex name, or a region name of a town, town, town or town. If the property corresponds to the property information providing system, characterized in that for determining the priority among the overlapping query attributes. 12. The method of claim 11, wherein the search unit searches a complex that is frequently viewed when the query attribute of a part of the query is a multi-family housing, and the area viewed a lot when the query attribute of a part of the query is a non-shared house type. Real estate information providing system, characterized in that for searching. The method of claim 9, wherein the real estate information providing system, And a monitoring unit connected to the real estate object information database, wherein the monitoring unit changes data in the real estate object information database. The real estate information according to claim 15, wherein the monitoring unit deletes the data when some of the data registered in the real estate article information database is not authentic information or is kept for a predetermined time after registration. Provide system.

Images