KR101852602B1 - Server, method and device for providing of property offering - Google Patents

Abstract

According to the present invention, a server for providing real estate for sale comprises: a communication module to perform data communication with a user terminal; a database in which information of real estate for sale is stored; a memory in which a program for providing real estate for sale is stored; and a processor to execute the program. The processor is executed by the program to receive needs of a user collected for each category from the user terminal based on a user interface transferred to the user terminal, filter real estate for sale matching the needs of the user among the real estate for sale, calculate a score corresponding to the filtered real estate for sale based on the needs of the user, extract real estate for sale from the filtered real estate for sale based on the calculated score, and generate a user interface to include the extracted real estate for sale to transfer the user interface to the user terminal. The categories include two or more among meta-information, transaction form information, residence form information, budget information, and distance information.

Description

TECHNICAL FIELD [0001] The present invention relates to a real estate sale providing method and a real estate sale offering terminal for a real estate sale offering server,

The present invention relates to a real estate offer server, a real estate offer method in a server, and a real estate offer terminal.

In general, real estate transactions are conducted mainly offline. For example, in offline real estate transactions, a user who desires to sell or rent a property relies on an offline real estate agent for sale. In addition, offline real estate transactions are introduced to users who wish to purchase or lease real estate offline by a real estate agent.

In recent years, online real estate services that deal with real estate have been expanding. The online real estate service provides information to the user who wishes to purchase or lease the property information uploaded by the real estate agent. At this time, the information of the sale may include location, price, floor plan and photograph. Such an online real estate service has the advantage that a user who wants to buy or rent can save time searching for a property without having to visit an offline real estate agent directly.

However, there is a disadvantage that the online real estate service is difficult to find the information desired by the user quickly and accurately because of the large amount of information on the offer and sale.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems occurring in the prior art, and it is an object of the present invention to provide a real estate sale providing server, a real estate sale providing method, and a real estate sale providing server, which can provide a user with a real estate sale matching with a user input through a user interface Providing terminal.

It should be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

According to a first aspect of the present invention, there is provided a real estate offer server, comprising: a communication module for performing data communication with a user terminal; a database storing information of a plurality of real estate properties; And a processor for executing the stored memory and the program. At this time, the processor is executed by the program, receives the needs of the user collected from the user terminal by category on the basis of the user interface transmitted to the user terminal, filters the real estate property matching with the needs of the user among the plurality of real estate properties Extracts the real estate property from the filtered real estate property based on the calculated score, generates a user interface so that the extracted real estate property is included, . The categories include a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information.

According to a second aspect of the present invention, there is provided a method for providing a real estate for sale, comprising the steps of: filtering a real estate sale matching a user's needs among a plurality of real estate properties, step; Calculating a score corresponding to the filtered real estate sale based on the user's needs; Extracting a real estate property having a priority from the filtered real estate property based on the calculated score; And generating a user interface so that the extracted real estate sale is included and delivering the user interface to the user terminal. At this time, the category includes a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information.

A real estate offer terminal according to a third aspect of the present invention includes a display module for displaying a user interface, an input module for receiving a user's input, a database storing information on a plurality of real estate properties, And the like. At this time, the processor is executed by a program to collect user needs for each category on the basis of the user interface, to filter real estate properties matched with the user's needs among a plurality of real estate properties, A score corresponding to the sale is calculated, a real estate sale is extracted from the filtered real estate sale based on the calculated score, and a user interface is generated so that the extracted real estate sale is included and displayed on the display module. The categories include a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information.

The present invention can provide customized real estate properties to users through multidimensional analysis of user needs such as residential type, commuting time, commuting time, convenience facilities, and the like. Therefore, the present invention can help a user to quickly and easily find desired real estate properties.

1 is a block diagram of a real estate offer system in accordance with an embodiment of the present invention.
2 is an exemplary diagram illustrating a user interface for a user's needs input according to an embodiment of the present invention.
Figure 3 is an exemplary view of a dimension according to an embodiment of the present invention.
4 is an exemplary diagram of a custom property listing page in accordance with an embodiment of the present invention.
5 is a diagram illustrating an example of a reference point and a slice setting process for each dimension according to an embodiment of the present invention.
6 is an exemplary diagram of a three-dimensional graph according to an embodiment of the present invention.
7A and 7B are diagrams illustrating an example of a three-dimensional graph in which real estate properties are mapped according to an embodiment of the present invention.
8 is a flowchart of a real estate offer method performed by a server according to an embodiment of the present invention.
9 is a block diagram of a real estate offer terminal according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when a part is referred to as "including " an element, it does not exclude other elements unless specifically stated otherwise.

Next, a real estate offer server 110 according to an embodiment of the present invention will be described with reference to FIGS. 1 to 7B.

1 is a block diagram of a real estate offer system 100 according to an embodiment of the present invention.

The real estate offer system 100 according to an embodiment of the present invention includes a real estate offer server 110, a provider terminal 170, and a user terminal 160.

The real estate offer server 110 may extract the real estate property according to the user's needs received from the user terminal 160 and provide the real estate property to the user terminal 160. At this time, the real estate sale is the one registered by the provider terminal 170 in the real estate sale providing server 110, and may be stored in the database 150.

For example, a real estate property may be a single real estate property in the form of an apartment, an officetel, a villa, a house or an office, or a real estate property in which a plurality of identical or similar property properties are clustered.

The user terminal 160 may receive and provide a user interface from the real estate offer server 110 so that the user can search for real estate properties according to his or her needs. Also, the user terminal 160 may receive a real estate sale matching with the needs of the user from the real estate sale server 110 through the user interface, and display the real estate sale to the user. At this time, the user terminal 160 refers to a terminal of a user who is in need of sale, such as buying or renting a property.

The provider terminal 170 may input the real estate listing information to the real estate listing server 110 and register the real estate listing. At this time, the provider terminal 170 may be a terminal of a landlord or an intermediary who has a demand for the sale and lease of a real estate sale. Alternatively, the provider terminal 170 may be, but is not limited to, a separate real estate offerer server that can provide listings registered by a plurality of landlords or brokers.

The real estate offer server 110 includes a communication module 120, a memory 130, a processor 140, and a database 150.

The communication module 120 may perform data communication with the user terminal 160 or the provider terminal 170.

The memory 130 stores a real estate offer program. At this time, the memory 130 collectively refers to a non-volatile storage device that keeps stored information even when power is not supplied, and a volatile storage device that requires power to maintain stored information.

The processor 140 executes the program stored in the memory.

The database 150 stores the information of the offer registered by the provider terminal 170. At this time, the database 150 may exist outside the real estate offer server 110 and may be connected to the real estate offer server 110 as shown in FIG. In addition, the database 150 may be included in the real estate offer server 110, but is not limited thereto.

In addition, the information on the real estate sale may include a transaction type, a residence type, budget information (i.e., price information), distance information, and environment information for the real estate sale. In addition, the information of the real estate sale may be basic meta information about the sale such as the address of the sale, the date of moving in, the area, the waterproofing, the number of floors, the completion date, parking information and heating information. The information of the real estate sale may be, but not limited to, multimedia information such as photographs and drawings for the property.

On the other hand, if the real estate property is a complex property that is grouped into a plurality of properties (ie, an apartment complex, an office building, etc.), the statistics of a plurality of properties constituting the property may be regarded as information on real estate properties. At this time, the statistics may be an average, but are not limited thereto. Therefore, the statistics can be median, maximum value, minimum value, etc. in addition to the average.

For example, in specifying the price information, the distance information, the residential environment information, and the like, the information on the sale can be specified based on the average of the selling prices and the average of the positions of the merchandise.

In addition, the transaction type information may be sale, lease, or rent for real estate sale.

Housing type information can be in the form of real estate for sale. For example, the residential type information can be an apartment, an officetel, a villa, a residence and an office.

The budget information may be the price of a real estate property corresponding to the type of transaction. For example, the budget information may be a fee that a user must pay in response to a corresponding real estate sale such as a sale price, a charter price, a monthly rent deposit, or a rent.

In addition, the distance information may be a distance between the real estate property and a specific public transportation facility, a specific education facility, or a certain convenience facility, or the time required for the transportation. For example, street information can be a distance from the nearest public transport, educational facility, or convenience facility in a property for sale.

At this time, when the real estate sale is merely a real estate sale, the distance or the required time corresponds to only one point of the real estate sale, or may be the minimum value, the maximum value and the average value corresponding to the real estate sale. For example, the distance or the duration of a real estate sale may be merely the distance of the plurality of real estate properties included in the real estate sale or the minimum value of the required time.

The environmental information may be a grade or score according to educational facilities, convenience facilities, medical facilities and cultural facilities around the property. At this time, public transportation facilities can be subway stations and bus stops. Educational facilities can also be public educational institutions such as kindergartens, elementary schools, junior high schools, high schools and universities, or private educational institutions such as academies. In this case, if the real estate property is a real estate property, the educational facility can be divided into a kindergarten, a jar, an elementary school, and the like. Convenience facilities can be department stores, large marts and markets. The medical facility may be a public health center, a medical clinic or a general hospital, and the cultural facility may include, but is not limited to, a physical education facility, a museum, a theater, a concert hall, a library and an exhibition facility.

And the rating or score may be set according to predetermined criteria by the provider terminal 170, manager or real estate professional. In addition, the grade and the score may be set based on the distance between the facility and amenities such as educational facilities, convenience facilities, medical facilities and cultural facilities and the real estate properties around the property. At this time, the score can be subdivided by distance based on grade.

For example, the processor 140 may be set to an A rating when the specific real estate and a specific mart are within 1 km, a B rating when the distance is 1 km to 2 km, and a C rating when the specific mart is more than 2 km. In addition, the processor 140 can set a subdivided score such as 10 points when the specific real estate and specific mart are within 500m and 5 points within 1km. The processor 140 may match and store ratings and subdivided scores for specific real estate properties.

In addition, each of the categories defined above can be hierarchically structured. That is, each category may include subcategories. For example, the environmental information may include subcategories and information corresponding to each subcategory. At this time, the subcategories can be educational facilities, convenience facilities, medical facilities and cultural facilities. The detailed category information can be kindergartens, elementary and junior high schools included in educational facilities, department stores included in convenience facilities, and large-scale marts.

On the other hand, a plurality of real estate properties previously stored in the database 150 may be classified and stored based on the real estate property information.

For example, the processor 140 may receive information about a particular real estate property from the provider terminal 170. At this time, as described above, the information on the specific real estate sale may include meta information, transaction type, housing type, budget information, distance information, and environment information for the sale.

The processor 140 can calculate the environmental information score corresponding to the real estate sale based on the environmental information included in the information on the real estate sale and the predetermined environmental information score table. In addition, the processor 140 may calculate distance information using address information of the real estate sale and surrounding public transportation information. Then, the processor 140 can calculate the distance information score corresponding to the real estate for sale based on the calculated distance information and the predetermined distance information table. At this time, the predetermined environment score table and the predetermined distance information table may be predetermined by the provider terminal 170, the manager of the real estate sale server 110, or the real estate professional, but the present invention is not limited thereto.

When the environment information score and the distance information score corresponding to the real estate sale are calculated as described above, the processor 140 generates the information of the real estate sale including the meta information, the environmental information score, and the distance information score, ). ≪ / RTI >

The processor 140 may classify a plurality of real estate properties stored in the database 150 to include the same or similar real estate properties in the same group based on the information of the real estate properties. In addition, the processor 140 may arrange a plurality of real estate properties included in the same group according to the information of real estate properties.

For example, the processor 140 may classify similar real estate merchandise to be included in the same group based on meta information such as an occupancy date and an address. Alternatively, the processor 140 may classify a plurality of similar real estate properties to be included in the same group based on the housing type information, the transaction type information, the environmental information score, or the distance information score of the plurality of real estate properties. At this time, the processor 140 may sort a plurality of real estate properties included in the same group based on the environmental information score and the distance information score.

In addition, the processor 140 may update information of a plurality of real estate properties stored in the database 150 according to a predetermined period. In this case, the predetermined period may be one day, one week, or one month, but is not limited thereto.

For example, the processor 140 may re-collect information about real estate properties pre-stored in the database 150 from the provider terminal 170, according to a predetermined period. The processor 140 may then update the information in the database 150 based on the information about the re-collected real estate.

Meanwhile, the processor 140 may transmit a user interface for inputting a user's needs to the user terminal 160.

The user terminal 160 may collect the user's needs inputted by the user through the user interface and transmit the collected needs to the real estate sale server 110 through the communication module 120. At this time, the user interface will be described in detail with reference to FIG.

2 is an exemplary diagram illustrating a user interface for a user's needs input according to an embodiment of the present invention.

The user interface can be configured so that the user can enter the user's needs for a plurality of categories. At this time, the plurality of categories may correspond to the information on the real estate sale. For example, the plurality of categories may include a plurality of meta information about real estate properties, transaction type information, residential type information, budget information, distance information, and environment information. At this time, the needs of the user can be defined for each of a plurality of categories, and can be defined as a specific value or a specific range for each category according to a form input by the user.

Also, the user interface can be configured to receive the user's needs from the user through the detailed step pages generated for each category.

2 (a) is an exemplary view of a detailed step page for inputting a planned moving date. At this time, the moving scheduled date inputted by the user may be a specific day or a specific month. Alternatively, the scheduled moving date entered by the user may be a period including one or more days. For example, the user can directly enter the scheduled moving date, or enter the moving date through the calendar.

2 (b) is an exemplary diagram of a detailed step page for inputting distance information. At this time, the distance information may be input by the user based on the distance to the workplace or the school corresponding to the user. In addition, the distance information may be inputted based on the time required to reach the workplace or the school corresponding to the user.

For example, the distance information may be entered based on a time to reach a public transport facility such as a subway station near the workplace or school corresponding to the user. Therefore, the detailed step page for entering distance information can be configured to input public transportation facility information and time of arrival. Specifically, the user can input the maximum reachable time from the selected subway station to the home or workplace.

FIG. 2C is an example of a detailed step page for inputting a residential type, a transaction type, budget information, and the like. The detailed step page may be configured to select one or more of the residential type or the transaction type.

In addition, the detailed step page can be configured so that the user can directly enter a budget or input a section of a budget available to the user by using a scroll bar or the like. At this time, when the transaction type is semi-charter or monthly rent, it is possible to input a budget section for the security deposit (chartered account) and a budget section for the monthly rent.

The detailed step page may include a loan calculator that can calculate the loan information in advance. For example, the loan calculator may include, but is not limited to, a loan calculator, a loan to value ratio (LTV) calculator, or a debt to income ratio (DTI) calculator.

2 (d) is a detailed step page for inputting environmental information. The detailed step page may include a plurality of buttons to allow the user to select one or more of the amenities, medical facilities, educational facilities and cultural facilities to enter environmental information. For example, the detailed step page may include a life button corresponding to the convenience facility, a health button corresponding to the medical facility, a training button corresponding to the training facility, and a culture button corresponding to the culture facility.

Fig. 2 (e) is an example of a detailed step page for inputting detailed environmental information. For inputting the detailed environment information after the user selects one or more buttons in the detailed step page. In this case, the detailed environmental information is detailed environmental information on the facility selected through the facility (2), (2), and (3) Can be detailed environmental information.

When the user completes the input for the plurality of categories through the user interface, the user terminal 160 can transmit the inputs for the plurality of categories to the real estate offer server 110 with the user's needs.

The processor 140 of the real estate offer server 110 may receive the user's needs from the user terminal 160 through the communication module 120. [

At this time, the processor 140 may filter some of the plurality of real estate properties stored in the database 150 according to predetermined conditions, and provide the filtered plurality of real estate properties to the user terminal It is possible to extract real estate for sale. For example, the processor 140 may filter real estate listings that match the addresses included in the user's needs. At this time, the address may be a city or municipal unit or a hometown unit. Alternatively, the processor 140 may filter the real estate property by matching the real estate price included in the user's needs, or by extracting the real estate property after the expected date of moving in.

On the other hand, the processor 140 may extract a real estate to be provided to the corresponding user terminal 160 among a plurality of real estate properties based on the user's needs. At this time, the processor 140 generates a plurality of real estate products and a vector corresponding to the needs of the user, and can compare the plurality of real estate properties with the needs of the user.

3 is an exemplary diagram illustrating a dimension for representing a vector corresponding to a user's needs according to an embodiment of the present invention.

Specifically, the processor 140 may generate a dimension corresponding to a plurality of categories included in the user's needs.

At this time, the dimension may correspond to at least one category. That is, one dimension may correspond to one category. Alternatively, one dimension may correspond to a plurality of categories. Also, referring to FIG. 3, each dimension may correspond to each axis included in the multidimensional graph.

For example, the processor 140 may include a first dimension corresponding to a first category (e.g., price information) included in a user's needs, a second dimension corresponding to a second category (e.g., distance information) And a third dimension corresponding to a third category (e.g., environmental information), respectively.

The processor 140 may then generate reference points and intercepts for the first dimension, the second dimension, and the third dimension based on a plurality of real estate listings and user needs. At this time, the reference point may be generated based on the minimum value or the maximum value of a plurality of real estate properties for each dimension. That is, the reference point may be a minimum value and a maximum value of a plurality of real estate properties for a category corresponding to the dimension. Here, the term 'intercept' means a minimum score or a value corresponding to the maximum score to be included in the user's needs among the scores of the real estate category related to the axis.

For example, the processor 140 may calculate a maximum or minimum value for a particular category for a plurality of real estate properties. The processor 140 may set one of the maximum value or the minimum value of the calculated specific category as a reference point of the corresponding dimension. The processor 140 may set the user's needs for the category to intercepts for the dimension. For example, when the x-axis represents distance information on a coordinate defined in three dimensions, the minimum value of the time information may be set as a reference point corresponding to the origin, and the maximum value of the distance information may be set as the intercept value of the x- .

Alternatively, if the value for a particular category included in the user's needs includes a range, the processor 140 may set one of the minimum or maximum values of the range as a reference point and set the remainder as a slice.

Then, the processor 140 can calculate the score of each dimension corresponding to a plurality of real estate properties based on the set reference points and the slices. The processor 140 can generate a vector corresponding to each real estate sale using the calculated score. For example, a vector corresponding to a particular real estate sale may include a score for each dimension as an element. If the vector of a particular real estate that calculated the scores for the three dimensions is "a score for the first dimension, a score for the second dimension, a score for the third dimension". For example, if the first dimension is the price, the second dimension is the time, and the third dimension is the environment, the vector of the real estate may be "<score for price, score for time, score for environment> .

In addition, the processor 140 may extract the real estate for sale based on the vector for each real estate sale and the reference point or slice calculated for each dimension.

Then, the processor 140 can calculate the score for the extracted real estate for sale on the basis of the vector for each real estate sale. For example, the processor 140 may calculate the scalar value of the distance, vector size, or vector of the reference point and the vector to a specific real estate property, and calculate the scalar value as the score of the real estate property.

In addition, the processor 140 can calculate the priority based on the score of the real estate offer to be provided. At this time, the priority order may be based on a predetermined criterion. For example, predetermined criteria may be set to have a higher priority in descending order of scores, or may be set to have a lower priority in descending order of scores, but are not limited thereto.

The processor 140 may extract a predetermined number of real estate properties from among the target real estate properties based on the calculated priority. The processor 140 may then deliver the extracted real estate to the user terminal 160.

At this time, the processor 140 may generate a customized real estate sale page including a list of extracted real estate properties and transmit the generated customized real estate sale page to the user terminal 160. The user terminal 160 may display the user-customized real estate page to the user through the user interface.

4 is an exemplary diagram of a custom property listing page in accordance with an embodiment of the present invention.

For example, referring to FIG. 4, a custom estate listing page may include a map 700. The processor 140 can map each real estate listing 610, 620, and 630 to the map 700 and visualize them based on the address information of the extracted real estate listing. In addition, the processor 140 may generate a custom estate listing page such that the detailed information 710, 720, 730 of each real estate listing is included.

At this time, each real estate property can be set to have a different mark according to the score or priority. For example, if the priority of the first real estate 610 is higher than that of the second real estate 620 and the third real estate 630, the processor 140 determines whether the first real estate 610 has a landmark It can be denoted in bold or thick in comparison with other real estate properties 620 and 630.

Alternatively, the processor 140 may visualize and deliver the extracted real estate on a three-dimensional graph as shown in Fig. 3 corresponding to each dimension. Specifically, the processor 140 may convert the vector of the extracted real estate sale into three-dimensional coordinates. The processor 140 may generate a three-dimensional graph using the transformed three-dimensional coordinates. At this time, each real estate property can be set to have a different mark according to the score or priority.

Hereinafter, the real estate offer server 110 will be described in detail with reference to FIGS. 5 to 7B.

5 is a diagram illustrating an example of a reference point and a slice setting process for each dimension according to an embodiment of the present invention.

Referring to FIG. 5, the category may be price information, time information, and environmental information. In addition, the environmental information may be generated based on educational facility information and convenience facility information.

The processor 140 may receive from the user terminal 160 the needs of the user including the date of moving in, the address information, the price information category, the time information category, and the environmental information category.

The processor 140 can select and filter the real estate listings within the expected dates of moving in from among the plurality of real estate listing information stored in the database 150 based on the moving-in date and address information inputted by the user.

The processor 140 may set a reference point and an intercept for the price information dimension.

For example, the processor 140 may calculate a minimum value ( p _min ) and a maximum value ( p _max ) for the price information dimension by filtering a plurality of real estate listings based on the price information input by the user. The processor 140 may set the minimum value as a reference point for the price information dimension and the user's needs for the price information as an intercept P _u for the price information dimension.

Conversely, the processor 140 may select the maximum value of the user's needs for the price information as a reference point of the price information dimension and the minimum value of the user's needs for the price information as the intercept of the price information dimension.

In addition, the processor 140 may verify the value in the price information dimension for a plurality of filtered real estate listings. And, if the value of a particular real estate listing is not included within a predetermined range, the processor 140 may remove that particular listing. If a particular real estate for sale is removed, the processor 140 may reassign reference points and intercepts for that dimension.

In the same way, the processor 140 may set reference points and intercepts for time and environment information. At this time, the processor 140 merges the score of the educational facility corresponding to the user's needs and the filtered real estate sale, and the score of the convenience facility information, and calculates the reference point and the intercept of the corresponding dimension according to the merged score and the above- Can be calculated.

In a further embodiment, the user's needs delivered by the user terminal 160 may be individually collected and received by the processor 140 according to predetermined steps. For example, the predefined step may be the ordering date and the address information, the price information category, the time information category, and the environmental information category.

First, the processor 140 may receive a user need from the user terminal 160, including a date of arrival and address information. The processor 140 may filter the real estate listing information of the plurality of real estate listing information stored in the database 150 based on the received date of moving in and address information, In a next step, the processor 140 may receive user needs for the price information category from the user terminal 160, and may set reference points and intercepts for the price information dimension. In a third step, the processor 140 may receive a user need for a time information category from the user terminal 160, and set a reference point and intercept for the time information dimension. Finally, the processor 140 may receive user needs for the environmental information category from the user terminal 160 and set reference points and intercepts for the environmental information dimension.

Referring to FIG. 5, the scale of each dimension may be different. In particular, when the scales of the respective dimensions are different, there is a high possibility that the calculated score is distorted. Thus, the processor 140 may normalize each dimension. In this case, the normalization may be, but not limited to, Min-max normalization and Z-score normalization.

6 is an exemplary diagram of a three-dimensional graph according to an embodiment of the present invention.

Referring to FIG. 6, the processor 140 may generate a three-dimensional graph through reference points and intercepts calculated corresponding to each dimension. At this time, the reference points and intercepts of each dimension may be normalized.

7A and 7B are diagrams illustrating an example of a three-dimensional graph in which real estate properties are mapped according to an embodiment of the present invention.

The processor 140 may generate the vector using the coordinate values of the three-dimensional graph corresponding to information on the plurality of filtered real estate properties. As shown in FIG. 7, the processor 140 may map a plurality of filtered real estate properties to a three-dimensional graph.

The processor 140 may extract the real estate for sale from the vectors for the plurality of real estate properties filtered based on the reference points and the slices calculated corresponding to the respective dimensions.

For example, referring to FIG. 7A, the processor 140 may calculate a real estate sale included in a virtual rectangle 600 generated based on a reference point and a slice, as a providing real estate sale. For example, the processor 140 and the price information is a reference point of P _min circle over P _u circle or less, the time information is a reference point of q _min minutes at q _u min, amenity information over point r _min r _u points or less The first real estate for sale can be extracted as the real estate for sale.

Alternatively, as a further embodiment, referring to FIG. 7B, the processor 140 may calculate a real estate sale that is included between a reference point and a virtual plane 640 that passes through each slice, as a given real estate sale, It is not.

Then, the processor 140 can calculate the distance between the vector and the reference point for the extracted real estate for sale, as a score. The processor 140 may set the priority of the real estate for sale so that the lower the score, the higher the priority. For example, the processor 140 may set the priorities of real estate for sale as the priority of the extracted real estate for sale is closer to the reference point in descending order of priority.

The processor 140 may provide a predetermined number of real estate properties to the user terminal 160 according to priorities via the user interface.

In addition, when the user terminal 160 selects a particular real estate property from a provided real estate property, the processor 140 may provide a user interface to the user terminal 160 including a landing page for a particular real estate property. When the user terminal 160 inputs the visit reservation information through the visit reservation page, the processor 140 can transmit the information of the user terminal 160 and the visit reservation information to the administrator terminal corresponding to the real estate sale.

According to another embodiment of the present invention, the processor 140 may extract the real estate for sale in a hierarchical manner based on the user interface. At this time, the processor 140 can extract the real estate for sale on the basis of the grade or score hierarchically defined for each category.

That is, when there are three dimensions, the processor 140 may extract the real estate for sale from the plurality of real estate properties stored in the database 150 through the three steps included in the user interface. At this time, the order of each step may be set based on the importance of the category predetermined by the provider terminal 170 or the administrator, but is not limited thereto.

For example, as a first step, the processor 140 may calculate a first dimensioned reference point and a first dimensioned segment based on a plurality of real estate properties stored in a database and a user's needs. The processor 140 may then extract a portion of the plurality of real estate listings based on the reference points and slices for the first dimension.

As a second step, the processor 140 may calculate the intercept for the second dimension and the reference point for the second dimension based on the real estate sale and the user's needs extracted in the first step. The processor 140 may extract some of the real estate properties extracted in the first step based on the calculated reference points and slices for the second dimension.

As a third step, the processor 140 may calculate a reference point and a slice for the third dimension based on the real estate sale and the user's needs extracted in the second step. Then, the processor 140 can finally extract real estate properties from the real estate sales extracted in the second stage based on the calculated reference points and slices for the third dimension.

When the specific category includes the subcategory, the processor 140 can extract the real estate listing by dividing the information about the category and the information of the subcategory.

Specifically, the processor 140 may calculate a reference point and a slice for a dimension corresponding to information of a specific category, based on the real estate sale and the user's needs extracted from the previous step. The processor 140 may then extract some of the real estate properties extracted from the previous step based on the reference points and slices for the dimension corresponding to the information of the category.

Then, the processor 140 can again calculate the reference point and the intercept for the extracted real estate based on the information of the category and the information of the detailed category corresponding to each category. The processor 140 can extract some of the extracted real estate for sale.

Meanwhile, according to another embodiment of the present invention, the processor 140 may calculate the score of each real estate sale in a hierarchical manner based on the hierarchical structure of each category included in each category, and may extract the user- .

For example, if the category is environmental information, the environmental information may include subcategories such as educational facilities, convenience facilities, medical facilities, and cultural facilities. In addition, the environmental information may include education facility information, convenience facility information, medical facility information, and cultural facility information included in each subcategory, as detailed category information.

As described above, the processor 140 may define a rating and a score for the detailed category information corresponding to each real estate sale. At this time, the score may be more granular than the grade.

Processor 140 may generate a first selection page for primary selection. At this time, the first selection page includes a detailed category included in the environment information, and the user can select one or more of the detailed categories through the user terminal 160. [ The processor 140 may forward the user interface including the generated first selection page to the user terminal 160. [

If the user selects the culture facility and the convenience facility in the subcategory by the primary selection, the processor 140 arranges the cultural property information and the convenience facility information on the selected cultural property information in ascending order of rank A first list can be generated. For example, the processor 140 may be configured such that the real estate property having the grade A of the cultural facility information and the convenience property information is located at the top, and the real estate property having the grade A is located next to the cultural facility information or the convenience facility information You can sort.

In addition, the processor 140 may forward the generated first list to the user terminal 160. In addition, the processor 140 may generate a second selection page for the secondary selection so as to include information included in each subcategory, and may transmit the second selection page to the user terminal 160. [

At this time, the second selection page may be independent of the first selection result through the first selection page described above. That is, the processor 140 may be generated so that the user can select information of each sub-category on the second selection page independently of the sub-category selected through the first selection page. Therefore, the user must select the "general hospital" included in the "elementary school within the jurisdiction" and the medical facility information included in the educational facility information not selected in the primary selection together with the "library" included in the cultural facility information selected in the primary selection, Can be selected by the secondary selection.

Processor 140 may select the top n of a plurality of real estate listings contained in the first list. Here, n is a natural number and may be a predetermined number. For example, n can be 20.

The processor 140 may then calculate a statistic of the score of each real estate property for the selected information in the secondary selection. At this time, the statistics may be the sum of the scores of the respective real estate properties or the average of the scores of the respective real estate properties. And processor 140 may rearrange the selected n real estate listings based on statistics for the score of each real estate listing.

The processor 140 may then select the top m of the reordered n real estate listings to generate the second list. At this time, m may be a natural number less than or equal to n . The processor 140 may forward the second list to the user terminal 160.

In addition, when the processor 140 defines a multidimensional graph, the processor 140 may perform calculations in the same manner as the above embodiment for values corresponding to the environment information category. For example, based on the user's primary and secondary selection information as described above, the listing having the highest score and the listing having the lowest score are calculated, and the highest score is set to the base point and the lowest score is set to the slice value Can be matched. Values corresponding to the environmental information category of each sale can be similarly calculated on the basis of the user's primary and secondary selection information and then defined on the environmental information category axis after calculating the score.

Next, based on FIG. 8, a real estate offer method performed by the server 110 according to an embodiment of the present invention will be described.

8 is a flowchart of a real estate offer method performed by the server 110 according to an embodiment of the present invention.

The server 110 receives the user's needs collected for each category from the user terminal 160 (S800). At this time, the category includes a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information.

Then, the server 110 filters real estate properties matching a user's needs among a plurality of real estate properties (S810).

The server 110 calculates a score corresponding to the filtered real estate sale based on the user's needs (S820).

Then, the server 110 extracts the real estate property from the filtered real estate based on the calculated score (S830).

In addition, the server 110 transmits the extracted real estate sale to the user terminal 160 (S840).

The task performed by the server 110 in one embodiment of the present invention may be performed by the terminal 160. [ Hereinafter, a real estate offer terminal 160 according to an embodiment of the present invention will be described with reference to FIG.

FIG. 9 is a block diagram of a real estate sale terminal 160 according to an embodiment of the present invention.

The terminal 160 includes a display module 910, an input module 920, a database 930, and a memory 940.

At this time, the display module 910 displays a user interface.

Input module 920 receives user input. At this time, the input module 920 may be an input device such as a mouse or a keyboard. The input module 920 may be a touch panel coupled to the display module 910 of the terminal, but is not limited thereto.

In addition, the database 930 stores a plurality of real estate listings.

The memory 940 stores a real estate offer program.

The processor 950 executes the program stored in the memory 940. Specifically, the processor 950 collects the needs of the user for each category based on the user interface. At this time, the category may include a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information.

The processor 950 then filters real estate listings matching a user's needs among a plurality of real estate listings stored in the database 930.

The processor 950 calculates a score corresponding to the filtered real estate listing based on the user's needs.

The processor 950 then extracts the real estate property from the filtered real estate property based on the calculated score.

The processor 950 generates a user interface so that the extracted real estate sale is included and displays it on the display module 910.

The real estate sale providing server 110, the real estate sale providing method in the server 110 and the real estate sale providing terminal 160 according to the embodiment of the present invention can be implemented in various ways such as a housing type, commuting time, To provide customized real estate for sale to users through multidimensional analysis. Therefore, the real estate sale providing server 110, the real estate sale providing method at the server 110, and the real estate sale providing terminal 160 can help the user to quickly and easily find desired real estate.

One embodiment of the present invention may also be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being 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. The computer-readable medium may also include computer storage 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.

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

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics 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 entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Real estate offer system
110: a real estate offer server
120: Communication module
130: memory
140: Processor
150: Database
160: User terminal
170: Provider terminal

Claims (14)

A real estate for sale providing server,
A communication module for performing data communication with a user terminal,
A database storing information of a plurality of real estate properties,
The real estate offer program stores the memory and
And a processor for executing the program,
Wherein the processor is executed by the program to receive a user's needs collected for each category from the user terminal based on a user interface transmitted to the user terminal, / RTI &gt;
Extracting a real estate sale from the filtered real estate sale based on the calculated score based on the needs of the user, calculating a score corresponding to the filtered real estate sale based on the user's needs, To the user terminal,
In the process of extracting the real estate for sale,
Generating a slice for the first dimension and a reference point for the first dimension based on the filtered real estate offer and the needs of the user, and based on the slice for the first dimension, Extracts real estate for sale corresponding to one dimension,
Generating an intercept for the second dimension and a reference point for the second dimension based on the real estate property corresponding to the first dimension and the needs of the user and generating an intercept for the second dimension from the real estate property corresponding to the first dimension, Extracts real estate for sale corresponding to &quot;
Calculating a score for each dimension of each extracted real estate sale, generating a vector corresponding to each real estate sale,
Calculating a score corresponding to each real estate sale based on a vector corresponding to each real estate sale, wherein the first and second dimensions correspond to at least one of the plurality of categories,
Wherein the category includes a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information.



delete The method according to claim 1,
A priority is calculated based on a score of each of the filtered real estate products, and a predetermined number of the filtered real estate products are extracted in descending order of priority and delivered to the user terminal. The method of claim 3,
Wherein the processor generates coordinates corresponding to the extracted real estate based on a vector corresponding to the extracted real estate, performs visualization of mapping the generated coordinates to a multidimensional graph, and transmits the visualized real estate to the user terminal Provided server. 5. The method of claim 4,
Wherein the processor performs the visualization such that an indication of each real estate property is different according to a priority corresponding to the extracted real estate property. delete delete The method according to claim 1,
Wherein the plurality of dimensions includes a dimension corresponding to the budget information, a dimension corresponding to the distance information, and a dimension corresponding to the environment information. The method according to claim 1,
Wherein the processor generates a user interface such that the extracted real estate sale is included by matching the extracted real estate sale with a map. The method according to claim 1,
The processor receives real estate listings and data on the real estate listings from a provider terminal,
Wherein the information on the real estate sale is generated based on data on the real estate sale and the information about the real estate sale is stored in the database so that the score of the real estate sale is included in the category of the real estate sale, server. 11. The method of claim 10,
The processor re-calculates the score for each category according to the real estate sale based on the re-collected data corresponding to the real estate sale stored in the database according to a predetermined period, And updates the information on the real estate property stored in the database. 11. The method of claim 10,
The real estate for sale is a plurality of real estate for sale,
Wherein the processor calculates an average value of the scores of the plurality of real estate properties included in the merchandise by category according to the category only for the merchandise. In a real estate offering method performed by a server,
The method comprising the steps of: filtering a real estate property matching a needs of the user among a plurality of real estate properties upon receiving a user's needs collected from the user terminal by category;
Calculating a score corresponding to the filtered real estate sale based on the needs of the user, and extracting real estate properties from the filtered real estate based on the calculated score; And
Generating a user interface so that the extracted real estate sale is included, and delivering the user interface to the user terminal,
The step of extracting the real estate for sale includes:
Generating a slice for the first dimension and a reference point for the first dimension based on the filtered real estate offer and the needs of the user, and based on the slice for the first dimension, Extracts real estate for sale corresponding to one dimension,
Generating an intercept for the second dimension and a reference point for the second dimension based on the real estate property corresponding to the first dimension and the needs of the user and generating an intercept for the second dimension from the real estate property corresponding to the first dimension, Extracts real estate for sale corresponding to &quot;
Calculating a score for each dimension of each extracted real estate sale, generating a vector corresponding to each real estate sale,
Wherein the first and second dimensions correspond to at least one of the plurality of categories, and the first and second dimensions correspond to at least one of the plurality of categories,
Wherein the category includes a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information. In a real estate for sale offering terminal,
A display module for displaying a user interface,
An input module for receiving user input,
A database storing information of a plurality of real estate properties,
The real estate offer program stores the memory and
And a processor for executing the program,
Wherein the processor is executed by the program to collect user needs for each category based on a user interface, to filter real estate listings matching the user's needs among the plurality of real estate listings,
Extracting a real estate sale from the filtered real estate sale based on the calculated score based on the needs of the user, calculating a score corresponding to the filtered real estate sale based on the user's needs, And displays it on the display module,
In the process of extracting the real estate for sale,
Generating a slice for the first dimension and a reference point for the first dimension based on the filtered real estate offer and the needs of the user, and based on the slice for the first dimension, Extracts real estate for sale corresponding to one dimension,
Generating an intercept for the second dimension and a reference point for the second dimension based on the real estate property corresponding to the first dimension and the needs of the user and generating an intercept for the second dimension from the real estate property corresponding to the first dimension, Extracts real estate for sale corresponding to &quot;
Calculating a score for each dimension of each extracted real estate sale, generating a vector corresponding to each real estate sale,
Calculating a score corresponding to each real estate sale based on a vector corresponding to each real estate sale, wherein the first and second dimensions correspond to at least one of the plurality of categories,
Wherein the category includes a plurality of meta information, transaction type information, residential type information, budget information, distance information, and environment information.

Images