KR102367268B1 - Method and device for processing providing subscription information - Google Patents

Abstract

According to one embodiment of the present invention, a method for providing subscription information comprises: a step of acquiring subscription-related state information and desired apartment-specific information based on user input; a step of determining an additional point of subscription for a user based on the subscription-related state information; a step of determining an expected additional point range for winning for a desired apartment based on the desired apartment-specific information and desired apartment-related information; and a step of providing subscription information on a possibility of winning the subscription based on the additional point of the subscription and the expected additional point range for winning.

Description

Method and device for providing subscription information

The present disclosure relates to a method and device for providing subscription information, and more specifically, by determining the additional subscription point for the user and the expected winning additional point range for the desired apartment, and providing subscription information on the subscription winning possibility based on this, the user It relates to a method and a device that can support to confirm and apply for an apartment with a potential to win.

In general, the technology that provides information about the subscription is based on the user's subscription, such as what the evaluation criteria to calculate the subscription points are, how many points are given according to each evaluation criterion, and what conditions are required for the user to qualify for the subscription application It confirms qualifications or calculates instead of additional points for subscription.

However, this prior art is limited to just reconfirming the standards or information set by the national institution to the user in a more convenient way, and when the user actually wants to apply for a subscription according to the type of housing subscription he wants, the user There was practically no limit to the technical means to check whether there is a possibility of winning. Therefore, in order to predict whether the user can actually apply for the type of housing subscription he wants, he has no choice but to look at each of the previous subscription results and roughly estimate whether he or she can win.

Accordingly, there is a growing demand for a technology for overcoming the above-described limitations and problems and providing subscription information suitable for a user situation.

Korean Patent Application Laid-Open No. 10-2202949 (registration date of 2021.01.08) relates to an apparatus and method for providing a housing subscription service, the step of receiving housing subscription information of interest from a user through a subscription management application installed and driven in a user terminal , outputting a subscription qualification questionnaire check question for the housing subscription information that the user is interested in, receiving an answer to the output subscription qualification questionnaire check question, based on the received subscription qualification questionnaire check question answer Disclosed is a method for providing a housing subscription service, comprising the steps of determining whether the user has subscription qualifications and outputting information on the determined subscription qualifications.

An embodiment of the present disclosure is to solve the problems of the prior art described above, and by determining the additional points for subscription for the user and the range of expected winning points for the desired apartment, and providing subscription information on the possibility of winning the subscription based on this, It is possible to provide a method and a device that can support the user so that he or she can apply for an apartment with a possibility of winning.

The purpose of the present disclosure is not limited to the above-mentioned purpose, and other objects not mentioned will be clearly understood from the description below.

According to a first aspect of the present disclosure, a method for providing subscription information includes: acquiring subscription-related context information and desired apartment specific information based on a user input; determining additional points for a subscription for a user based on the subscription-related context information; determining an expected winning additional point range for the desired apartment based on the desired apartment specific information and the desired apartment-related information; and providing subscription information on the possibility of winning subscription based on the additional subscription point and the expected winning additional point range.

In addition, the method provides a notification message including the subscription announcement information and the possibility of winning the subscription to the user terminal corresponding to the user as subscription announcement information for an apartment in which the subscription winning probability is greater than or equal to a preset value is obtained step; may further include.

In addition, the subscription-related situation information includes at least one of home ownership, date of birth, marital status, homeless period, dependent family status, and subscription passbook membership, and the desired apartment specific information includes the name of the desired apartment, apartment type, and construction company It may include at least one of a name and a region name.

In addition, the step of determining the additional points for the subscription includes: determining a homeless score based on whether the home is owned, the date of birth, the marital status, and the homeless period; determining a dependent score based on the marital status, the dependent status, and the number of dependents; determining a subscription passbook score based on the subscription passbook membership date; and determining the additional subscription points based on the homeless score, the dependent family score, and the subscription passbook score.

In addition, the step of determining the expected winning additional point range includes at least one of subscription history information, surrounding information, traffic information, actual transaction price information, and population information in the same area or surrounding area of the desired apartment based on the desired apartment specific information. obtaining the desired apartment-related information including; and determining the expected winning plus point range including the highest expected winning plus and the lowest expected winning plus points for the desired apartment by using the desired apartment-related information.

In addition, the providing of the subscription information on the possibility of winning the subscription may include: determining the expected number of applicants and the expected competition rate for the desired apartment by using the desired apartment-related information; and determining the possibility of winning the subscription based on the subscription plus point, the expected winning plus point range, the expected number of applicants, and the expected competition rate.

In addition, the step of determining the expected winning additional point range is based on the minimum subscription additional points, the highest subscription additional points, the number of subscription applications, the subscription competition rate, and the subscription winning probability during the preset period included in the subscription history information. determining; determining a grade for the desired apartment by using the subscription history information, the surrounding information, the traffic information, the actual transaction price information, and the population information; and determining the expected winning additional point range using the initial expected additional point range and the grade.

In addition, the step of determining the expected winning additional point range includes a first weight applied to the subscription history information, a second weight equally given to the surrounding information and the traffic information, and the actual transaction price information and the population information. The predicted winning additional point range may be determined based on the third weight applied, and may be greater in the order of the first weight, the third weight, and the second weight.

A subscription information providing device according to a second aspect of the present disclosure includes: a receiving unit for acquiring subscription-related context information and desired apartment specific information based on a user input; and determining additional points for subscription for the user based on the subscription-related situation information, determining an expected winning additional point range for the desired apartment based on the desired apartment specific information and the desired apartment-related information, and the subscription additional points and the expected winning The processor may include;

A third aspect of the present disclosure may provide a computer-readable recording medium recording a program for executing the method according to the first aspect on a computer. Alternatively, the fourth aspect of the present disclosure may provide a computer program stored in a recording medium to implement the method according to the first aspect.

According to an embodiment of the present disclosure, it is possible to support a user so that he or she can confirm and apply for an apartment for which there is a possibility of winning.

In addition, whenever a subscription for a new apartment is announced, it is possible to support the customer's subscription application by providing a notification message to the customer by checking whether the apartment is likely to win with the user's subscription additional points.

In addition, when changes occur in items for calculating additional points for subscription, a notification message may be provided to the customer to support the customer's subscription application.

The effect of the present disclosure is not limited to the above effect, but it should be understood to include all effects inferred from the configuration of the invention described in the detailed description or claims of the present disclosure.

1 is a diagram schematically illustrating a configuration of a subscription information providing system 1000 according to an embodiment.
2 is a block diagram illustrating a configuration of the device 100 according to an embodiment, and FIG. 3 is a flowchart illustrating a method of providing subscription information by the device 100 according to an embodiment.
FIG. 4 is a diagram for explaining an operation in which the device 100 determines a grade for a desired apartment by using desired apartment-related information, according to an exemplary embodiment.
5 is a diagram illustrating a series of operations in which the device 100 determines the possibility of winning a subscription according to an embodiment.
6 is a diagram illustrating an operation in which the device 100 provides a monitoring result as to whether or not an additional subscription point is updated for a user, according to an embodiment.
7 is a diagram illustrating an operation in which the device 100 provides a monitoring result for the presence or absence of an apartment in which the possibility of winning a subscription is greater than or equal to a preset value, according to an embodiment.
8 is a flowchart illustrating in more detail another example of a method for the device 100 to provide subscription information according to an embodiment.

Terms used in the embodiments are selected as currently widely used general terms as possible while considering functions in the present disclosure, but may vary according to intentions or precedents of those of ordinary skill in the art, emergence of new technologies, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the terms used in the present disclosure should be defined based on the meaning of the term and the contents of the present disclosure, rather than the simple name of the term.

In the entire specification, when a part “includes” a certain element, it means that other elements may be further included, rather than excluding other elements, unless otherwise stated. In addition, the “… wealth", "… The term “module” means a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

Throughout the specification, 'providing' may be interpreted to include a process in which a target acquires specific information or directly or indirectly transmits/receives to/from a specific target, and comprehensively includes the performance of a related operation required in this process. In addition, throughout the specification, 'support' may be broadly interpreted as meaning including the performance of a related operation to achieve a specific purpose, and is not construed as limiting.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present disclosure pertains can easily implement them. However, the present disclosure may be implemented in several different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings.

1 is a diagram schematically illustrating a configuration of a subscription information providing system 1000 according to an embodiment.

Referring to FIG. 1 , a system 1000 for providing subscription information according to an embodiment may include a device 100 and one or more user terminals 200 .

The device 100 corresponds to a computing device that can provide subscription information, and in one embodiment, may be implemented as a server such as a computer operating through a computer program for realizing the functions described in this specification, and a network It may include all types of wired/wireless communication devices that can be connected to one or more user terminals 200 and other devices (eg, terminals, servers) through the . Here, the network may be configured through various communication networks such as wired and wireless, for example, a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN: wide area network). Network), etc., may be composed of various communication networks.

The user terminal 200 corresponds to a computing device associated with a user, and may be, for example, a device such as a computer used by an individual or a corporation subscribing to the subscription information providing service provided by the device 100 . In an embodiment, the user terminal 200 is implemented as various types of handheld-based wireless communication devices such as a mobile phone, a smart phone, a personal digital assistant (PDA), a portable multimedia player (PMP), a tablet PC, or the like. , may include various types of wired and wireless communication devices that are connected to an external server, such as a desktop PC, a tablet PC, and a laptop PC, to provide a basis for installing and executing applications.

The user terminal 200 according to an embodiment may install an application for a subscription information providing service and store it in a memory. In an embodiment, the subscription information providing service may be understood as a concept encompassing the subscription information providing method described below, and the device 100 provides an application for providing the subscription information providing service to the user terminal 200 . In addition, it is connected to the user terminal 200 through an application installed in the user terminal 200 and can receive various user inputs used to provide subscription information from the user, and various information related to subscription (eg, about a desired apartment) possibility of winning the subscription, subscription schedule, etc.) can be provided.

In addition, the subscription information providing system 1000 may further include other components in addition to the components shown in FIG. 1 . For example, the subscription information providing system 1000 may further include an institution server 300 providing subscription announcement information for an apartment, a customer information processing server 400 providing user financial information, and the like.

2 is a block diagram illustrating a configuration of the device 100 according to an embodiment, and FIG. 3 is a flowchart illustrating a method of providing subscription information by the device 100 according to an embodiment.

2 and 3 , the device 100 may include a receiver 110 and a processor 120 .

In step S310, the receiver 110 may acquire subscription-related context information and desired apartment specific information based on a user input. In an embodiment, the processor 120 may provide a user information input menu for inputting user information used to determine the expected winning additional point range through an application installed in the user terminal 200 , and the receiving unit 110 may Through the user information input menu, a user input for subscription-related context information and desired apartment specific information may be received from the user terminal 200 .

Here, the subscription-related context information represents the user's context information required to determine an additional subscription point for the user. In an embodiment, the subscription-related context information may include at least one of whether the user owns a house, date of birth, marital status, homelessness period, dependent family status, and subscription passbook membership, for example, whether the user owns a house at the time of input, and the period of house ownership , date of birth, marital status, marital period, period of homelessness, dependent family status, number of parents and grandparents supported by the parent if there is dependent, number of parents and grandparents supported by spouse if married, number of children and grandchildren can do.

In addition, the desired apartment specifying information indicates the user's desired information used to specify the desired apartment for which the user wishes to subscribe. In an embodiment, the desired apartment specific information may include at least one of a name of a desired apartment, an apartment type, a construction company name, and a local name, for example, an apartment name, an apartment construction company (eg, A Construction, B Housing Corporation, etc.) , apartment developer (eg C construction, D industrial development, etc.), apartment type according to exclusive area (eg 85A, 54A, 28B, etc.), apartment type according to corridor type (eg corridor type, staircase type, mixed type, etc.) , apartment types (eg, sale, rental, etc.) according to the type of subscription.

In step S320, the processor 120 may determine an additional subscription point for the user based on the subscription-related context information. In one embodiment, the processor 120 uses the information on whether the house is owned, date of birth, marital status, homelessness period, dependent family status, and subscription passbook membership included in the subscription-related situation information, the homeless score, the dependent score, and the subscription Each passbook score is determined, and the subscription score can be calculated by inputting the homeless score, dependent family score, and subscription passbook score into a pre-stored subscription score calculation algorithm.

The processor 120 may determine the homeless score based on whether the home is owned, the date of birth, the marital status, and the homeless period included in the subscription-related situation information. For example, user input (e.g., value input, selection) for the user's own house, which is used to determine additional points for subscription through the user information input menu, the date of announcement of recruitment of occupants of the desired apartment, date of birth, marital status, marital period and non-homeownership period input), determine the period of homelessness until the announcement of resident recruitment based on the preset age (eg 30 years old) according to the received information, Scores (eg 16 points) that correspond to a range of time periods (eg more than 7 years to less than 8 years) can be determined as homeless scores. At this time, a plurality of different scores may correspond to each of the plurality of homeless period ranges, and in the case of a homeless person, the homeless score is treated as 0, and in the case of a homeless person, the homeless score can be calculated according to the value input and selected by the user. there is.

In one embodiment, the resident recruitment announcement date of the desired apartment may be designated as a specific date according to a user input and reflected in the calculation of additional points for subscription. In another embodiment, after the desired apartment is specified according to the user input, a database search is performed. As the announcement date of resident recruitment for the specified desired apartment is inquired, it may be reflected in the calculation of additional points for subscription.

The processor 120 may determine a dependent score based on marital status, dependent family status, and the number of dependents included in the subscription-related context information. For example, through the user information input menu, the user receives a selection input as to whether or not the user has a dependent family member, and if there is no dependent family member, only the user himself/herself is counted and the number of dependents based on the score of the dependents (eg 5) point), and if there are dependents, the upper limit range (eg: 35 points) can calculate a dependent score (eg 15).

The processor 120 may determine the subscription passbook score based on the subscription passbook membership date included in the subscription-related context information. For example, through the user information input menu, the user receives an input for the subscription period of the subscription account, and the subscription period range (eg, 10 years or more ~ 11 A score (eg, 11 points) corresponding to less than a year) can be determined as the subscription passbook score. Similarly, a plurality of different scores may correspond to each of the plurality of subscription book period ranges.

In one embodiment, the processor 120 may receive the subscription passbook information of the user from one or more customer information processing servers 400 that integrate and manage the user's financial information, and based on the received subscription passbook information, sign up for the subscription passbook can be determined, and the subscription account score can be determined according to the determined subscription account registration date. For example, it is possible to link with the customer information processing server 400 corresponding to the My Data service provider through the network, and based on the user's consent input for the My Data inquiry, the most recently updated user from the customer information processing server 400 Receive subscription passbook information and sign up for subscription passbook that meets preset deposit criteria using subscription passbook type (eg region, area division, etc.), date of registration, deposit amount, number of deposits, etc. included in the received subscription passbook information You can determine the period and calculate the subscription passbook score accordingly.

The processor 120 may determine an additional subscription point based on the homeless score, the dependent family score, and the subscription passbook score, for example, by summing the homeless score, the dependent family score, and the subscription passbook score calculated above to calculate the subscription score. In addition, guide information on the user's homeless score, dependents score, subscription passbook score, and additional subscription points added up thereof can be transmitted and visualized on the user terminal 200 . Accordingly, the user can pre-calculate the additional points for his/her subscription before calculating the possibility of winning the subscription for the desired apartment, and if there are any corrections, modify the subscription-related situation information to recalculate the additional subscription points. .

In an embodiment, when the subscription-related context information satisfies a preset point deduction condition, the processor 120 may update the additional subscription point by subtracting a score corresponding to the corresponding point deduction condition from the subscription additional point, for example, two houses or more 5 points may be deducted if the possessing user applies for an additional point system in the second priority.

In step S330, the processor 120 may determine an expected winning additional point range for the desired apartment based on the desired apartment specific information and the desired apartment-related information. Here, the desired apartment-related information represents information used to determine the highest expected winning and lowest expected winning points of the desired apartment. In an embodiment, the device 100 is a database in which information on subscription history information made in Korea, regional information, regional traffic information, regional actual transaction price information, and regional population information made in Korea through the collection and analysis of big data is stored and managed (not shown) may be further included, and the processor 120 specifies a desired apartment or one or more types thereof using desired apartment specific information determined according to a user input, and desired apartment related information for the specified desired apartment. can be queried from the database.

The processor 120 may acquire desired apartment-related information including at least one of subscription history information, surrounding information, traffic information, actual transaction price information, and population information in the same area or surrounding area of the desired apartment based on the desired apartment specific information. can For example, through the user information input menu, the user receives user input (eg, input of value, input of selection) for specific information about desired apartment including the name and apartment type of the desired apartment among the apartments to be subscribed nationwide, respectively, One or more desired apartments may be specified according to desired apartment specific information, and search results for subscription history information, surrounding information, traffic information, actual transaction price information, population information, etc. corresponding to the desired apartment and a preset level or higher may be retrieved from the database.

In one embodiment, the subscription history information in the same area or surrounding area of the desired apartment may include the subscription result in the same area as the area corresponding to the desired apartment and the surrounding area within a preset distance from the area, for example, In the past year, for the same area (e.g., city, county, gu), the same regulated area, and the same level of subscription results (e.g., the lowest subscription point, the highest subscription point, the number of subscription applications, subscription competition rate, subscription winning probability, etc.) History can be included.

In one embodiment, the surrounding information and traffic information of the desired apartment includes infrastructure information around the location of the desired apartment, for example, a preset item such as a subway station, a bus stop, a school, a large mart, a department store, a park, a mountain, etc. It may include information on whether it is located within the reference distance value.

In one embodiment, the actual transaction price information of the desired apartment includes information on the actual transaction price for a similar apartment near the location where the desired apartment is located, for example, of the same flat rate and recently subscribed apartments within a preset distance from the desired apartment. Actual transaction price information may be included.

In an embodiment, the demographic information of the desired apartment includes information on the moving-in and moving-out population around the location where the desired apartment is located, for example, the history of the moving-in entrance and moving-out population of the area within a preset distance from the desired apartment. may contain information. In one embodiment, the moving-in and moving-out population information may include moving-in and moving-out population information classified by age, gender, income, number of household members, etc., and based on the classified population information, the weight for the desired apartment is may be otherwise assigned. For example, considering the proportion of subscription account subscriptions by age group or the average subscription price point by age group, if there are more people in their 30s or 40s compared to other age groups, a higher weight may be given, and people in their 70s or older who transfer to other age groups In many cases compared to , a lower weight may be assigned.

The processor 120 may use the desired apartment-related information to determine an expected winning plus point range including the highest expected winning plus point and the expected winning lowest plus point for the desired apartment. For example, by entering the subscription history information, surrounding information, traffic information, actual transaction price information, population information, etc. of the surrounding (or the same) area of the desired apartment obtained from the database into the pre-stored expected winning additional point range calculation algorithm, the prediction for the desired apartment The highest winning score and the expected lowest winning score may be calculated, respectively.

In an embodiment, the processor 120 may determine a rating for the desired apartment by using the desired apartment-related information, and determine an expected winning additional point range for the desired apartment based on the rating for the desired apartment. Details on this will be further described with reference to FIG. 4 .

4 is a diagram for explaining an operation in which the device 100 determines a grade for a desired apartment by using desired apartment-related information, according to an exemplary embodiment.

Referring to FIG. 4 , the processor 120 provides information on the desired apartment using subscription history information, surrounding information, traffic information, actual transaction price information, and population information in the same area or surrounding area of the desired apartment included in the desired apartment-related information. A score may be determined, and a grade for the desired apartment may be determined based on the determined score.

More specifically, it is possible to set a plurality of items related to subscription history information, surrounding information, traffic information and population information, set two or more detailed items in each of the plurality of items, and set a score to each detailed item, With respect to the desired apartment, a score for the desired apartment may be calculated by adding a score corresponding to the corresponding detailed item according to whether each of the plurality of items satisfies a condition corresponding to the detailed item.

For example, as shown in FIG. 4 , a plurality of items such as apartment area, sale price, number of households, etc. may be set based on subscription history information and actual transaction price information, and conditions of detailed items may be set for each of the plurality of items. . For example, in the case of an apartment area item, a corresponding score may be added depending on whether detailed items such as whether it is included in a preset area (eg, Seoul) are satisfied. For example, the more popular the area such as the metropolitan area, the greater the number of households; The more major contractors participate, the higher the score can be added.

Similarly, a plurality of items such as population movement, station area, hypermarket, etc. may be set based on surrounding information, traffic information, and population information, and conditions of detailed items may be set in each of the plurality of items. For example, in the case of population movement, a corresponding score may be added depending on whether detailed items such as the level of population increase or decrease in the region are satisfied. For example, the greater the increase in population movement, the better the surrounding infrastructure, the higher the score. can be added.

In an embodiment, the processor 120 may determine a score for the desired apartment based on scores determined for each of a plurality of items related to subscription history information, surrounding information, traffic information, and population information. For example, a total score may be calculated by summing the scores of each item, and as another example, a plurality of first items related to subscription history information and actual transaction price information and a plurality of surrounding information, traffic information, and population information The total score may be calculated by giving different priorities to the second items of . For example, the total score may be calculated by giving the first items a higher weight than the second items.

In an embodiment, the processor 120 may determine a grade for the desired apartment based on the score for the desired apartment. For example, a grade (eg, S, A, B, etc.) corresponding to a score range (eg, 151 to 160) to which the calculated total score (eg, 155) belongs may be determined as a grade for the desired apartment, and a plurality of scores Each of the ranges may correspond to a plurality of different grades.

In an embodiment, the processor 120 may determine the highest expected winning plus point and the expected lowest winning plus point for the desired apartment based on the determined grade. For example, the highest expected winning score and the lowest expected winning score corresponding to the determined grade and score may be made, and for another example, an initial expected additional point range determined based on subscription history information may be adjusted according to the determined grade. It is possible to determine the highest winning score and the lowest expected winning score.

In an embodiment, the processor 120 may determine an initial expected additional point range for the desired apartment based on the subscription history information. More specifically, the processor 120 determines the initial expected additional point range based on at least one of the lowest subscription additional points, the highest subscription additional points, the number of subscription applications, the subscription competition rate, and the subscription winning probability for a preset period included in the subscription history information. For example, by analyzing the statistical distribution of the lowest subscription and highest subscription points collected as a result of subscription in the same area (e.g., city, county, gu unit), the same regulatory area, and the same level of the apartment of interest for the past one year, It is possible to determine an initial expected lowest score, an initial expected highest score, and the like.

In an embodiment, the processor 120 may determine the expected winning additional point range by using the initial expected additional point range and the grade for the desired apartment, for example, by reflecting the grade for the desired apartment in the initial expected additional point range to reflect the initial expected additional point It is possible to determine a range of expected winning points adjusted from the range. For example, a plurality of different adjustment ratios may correspond to each of the plurality of grades, and the initial expected additional point range may be determined by applying an adjustment ratio (eg, +10%, 0, -10%, etc.) corresponding to the grade of the desired apartment. In this way, it is possible to calculate the expected winning additional point range. For example, if the adjustment ratio is +10%, the initial expected minimum and initial expected maximum points are increased by 10% to calculate the highest expected winning plus and the expected winning minimum. If the adjusted rate is -10%, the first By lowering the expected minimum and initial expected maximum points by 10%, it is possible to calculate the highest expected winning points and the lowest expected winning points.

In an embodiment, the processor 120 assigns a first weight to the subscription history information, a second weight equally to surrounding information and traffic information, and a third weight to the actual transaction price information and population information And, based on the first weight to the third weight, it is possible to determine a range of expected winning points. For example, it is possible to calculate a weighted sum score for each item by giving the same or different weights according to the type or importance of information used to determine the expected winning additional point range. The same weight is given to the actual transaction price information and the population information used to calculate the score for each item for 'characteristics', and the surrounding information and traffic information used to calculate the score for 'infrastructure around the apartment' such as population movement, station areas, and large marts The same weight is given, and the score for the desired apartment and the expected winning additional point range can be calculated through an operation that reflects the corresponding weight to the score for each item.

As an example, the first weight, the third weight, and the second weight may be large in the order, for example, the highest first weight is reflected in the items related to the subscription history information, and the items related to the actual transaction price information and the population information By reflecting the next highest second weight to , and by reflecting the lowest third weight to items related to surrounding information and traffic information, scores added according to each item may be weighted and added. As another example, the first weight, the third weight, and the second weight may be the same, and as another example, for items related to subscription history information and actual transaction price information, items related to population information, surrounding information, and traffic information It is also possible to apply statistical calculations to have a larger deviation than those.

In an embodiment, the processor 120 may determine the expected number of applicants and the expected competition rate for the desired apartment by using the desired apartment-related information. More specifically, it is possible to determine the expected number of applicants and the expected competition rate based on the number of subscription applications, the subscription competition rate, and the subscription winning probability during the preset period included in the subscription history information, for example, in the same area ( For example: city, county, gu unit), the same regulatory area, the expected number of subscription applications, the expected subscription competition rate, and the expected winning probability by statistically analyzing the number of subscription applications collected as a result of subscription, subscription competition rate, and subscription winning probability etc. can be calculated.

In an embodiment, the processor 120 may determine the possibility of winning the subscription based on the additional subscription point, the expected winning additional point range, the expected number of applicants, and the expected competition rate. For example, whether or not the user's additional subscription points are included within the expected winning additional points range, the difference between the expected winning additional points range and the additional subscription points, and the expected winning rate according to the expected competition rate compared to the expected number of applicants are comprehensively analyzed according to the pre-stored subscription winning probability calculation algorithm Thus, the probability of winning the subscription can be calculated numerically, and by providing subscription information including additional subscription points, the expected winning additional point range, and the subscription winning possibility, it is possible to support the user to more intuitively predict their own winning probability.

In step S340, the processor 120 may provide subscription information on the possibility of winning subscription based on the additional subscription point and the expected winning additional point range. For example, by transmitting subscription information including the additional subscription point and the expected winning additional point range to the user terminal 200, the possibility of winning may be informed when the user applies for a subscription to the desired apartment through the application. This will be further described with reference to FIG. 5 .

5 is a diagram illustrating a series of operations in which the device 100 determines the possibility of winning a subscription according to an embodiment.

Referring to FIG. 5( a ), the processor 120 determines an additional subscription point (eg, 60 points) determined based on a user input for subscription-related context information, and a subscription determined based on a user input for desired apartment specific information. Information on the desired apartment, the desired subscription type, the desired application type, the subscription selection criteria, etc. may be provided to the user terminal 200 .

Referring to FIG. 5( b ), the processor 120 determines whether the user can subscribe to the desired apartment based on the subscription-related situation information and the desired apartment specific information, and the result of the determination (eg, whether the first-order application is possible, a lottery system) Whether the application is possible, etc.) may be provided to the user terminal 200 .

Referring to FIG. 5( c ), the processor 120 may provide subscription history information of the same area or surrounding area of the desired apartment to the user terminal 200 , for example, a preset period (eg, recent Key indicators such as the number of subscription applicants, the number of subscription winners, the lowest winning point, and the highest winning score for 1 year) can be provided.

Referring to FIG. 5( d ), the processor 120 may provide the user terminal 200 with a rating and score for the desired apartment determined using the desired apartment-related information, and referring to FIG. 5( e ), , it is possible to provide information on the highest expected winning plus point, the expected lowest plus point, the winning probability, the expected number of applicants, the expected competition rate, and the expected winning rate, which are determined based on the grade and score for the desired apartment.

In an embodiment, the processor 120 may provide a monitoring result as to whether or not to update the additional subscription points for the user. For example, the processor 120 may check whether the user's homelessness score, dependent family score, and subscription passbook score need to be updated at a preset cycle, and when the subscription score increases or decreases according to the update, as shown in FIG. 6 , A first notification message including the updated subscription score and the updated subscription winning possibility may be provided to the user terminal 200 . As an example, the processor 120 updates the subscription passbook membership and amount as it receives the most recently updated subscription passbook information of the user from the customer information processing server 400 at a preset cycle, and updates the homeless period over time You can update the values of items used to calculate the subscription score, such as, and check in real time whether the homeless score, dependent family score, and subscription passbook score have changed according to this update, and information about changes in subscription price can be provided to the user. .

Accordingly, when changes occur in the items that calculate additional points for subscription, such as the elapse of the user's subscription account subscription period, changes in the period of non-homeownership, the presence or absence of housing, and the increase or decrease of the number of dependents, the user is notified of the change. can provide

In an embodiment, the processor 120 may provide a monitoring result of whether there is an apartment in which the probability of winning the subscription is greater than or equal to a preset value. For example, the processor 120 obtains subscription announcement information for an apartment in which the subscription winning probability is greater than or equal to a preset value, as shown in FIG. 7 , the user terminal 200 includes subscription announcement information and subscription winning possibility 2 A notification message can be provided. For example, the processor 120 may store and manage the user's subscription additional points based on the subscription-related context information registered by the user, and may provide subscription notice information including a subscription schedule for an apartment, a subscription start schedule, and the like to the apartment. It can be received from the institutional server 300 related to the subscription or can be continuously acquired and updated through administrator input, and whenever subscription announcement information for an apartment is acquired, subscription history in the same area or surrounding area for the apartment Acquires a database of apartment-related information including information, surrounding information, traffic information, actual transaction price information, and population information, and uses the apartment-related information to determine the range of expected winning points for the apartment based on the user's additional points for subscription The possibility of winning the subscription can be calculated, and when the calculated probability of winning the subscription is greater than or equal to the preset value, as shown in FIG. 7, a notification message indicating that the subscription has been registered for an apartment with the possibility of winning as the user's subscription additional points is sent to the user terminal 200 ) can be sent to

In one embodiment, the preset value may be determined based on the monitoring result for the rating for the desired apartment for the preset period, for example, the user mainly wants the apartment for 6 months, and the higher the rating of the specific apartment, the higher the inverse proportion. It may be set small, and accordingly, if the user prefers only a high-grade apartment, control can be made in a direction to provide a notification message even if the probability of winning is relatively low.

In an embodiment, when the subscription announcement information for the apartment is obtained, the processor 120 calculates the possibility of winning the subscription for the apartment according to whether the apartment corresponds to the user's desired apartment at a level higher than or equal to a preset first level to determine whether to provide a notification message. For example, if it matches the apartment name or apartment type desired by the user, or if it is similar to the number of square meters, room structure, construction company, etc. more than a preset level, even if it does not match By sending a notification message, we can provide timely information only if it is meaningful to the user.

In one embodiment, when the subscription announcement information for the apartment is obtained, the processor 120 calculates the possibility of winning the subscription for the apartment according to whether the apartment corresponds to the user's asset information at a preset second level or higher. to determine whether to provide a notification message. For example, the user's asset information may be determined based on the user's financial information received from the user's input for the asset information or the customer information processing server 400, and even if the subscription winning probability is less than the preset value, the user wants When a user's assets and income, and an apartment that can be purchased with a loan are registered for subscription, a notification message can be sent to provide meaningful information to the user.

In an embodiment, when the subscription announcement information for an apartment is obtained, the processor 120 may provide a notification message based on pre-stored asset information of the user. For example, when one or more apartments available for purchase through at least one of the user's own assets, income, loans, and combinations thereof are detected in a region where the user wishes to purchase or reside among a plurality of apartments in which subscription notice information is registered By sending a message, you can provide users with information to help them buy an apartment. In this way, in addition to the notification of the subscription, a notification may be provided to users who have a demand to purchase an apartment by a method other than subscription.

Accordingly, when a subscription notice with the possibility of winning as an additional point for the user's subscription is uploaded, or when a subscription announcement with a level that the user can purchase is uploaded in the region desired by the user, a notification message helps the user to apply for subscription By providing information, we can help users purchase an apartment.

In an embodiment, the first notification message and the second notification message may be provided according to a preset method, for example, to be provided through an application push message set by the user as a notification means, e-mail, text message, phone notification, etc. can In addition, the first notification message and the second notification message may be provided up to a preset number of times at a preset cycle until the notification is released by the user. For example, the greater the possibility of winning the subscription, the more frequent the reminder notification according to a small cycle in inverse proportion to it. can be provided.

In an embodiment, the first level and the second level may be determined based on the monitoring result of the expected competition rate for the desired apartment for a preset period, for example, the expected competition rate of the apartment that the user mainly selects as the desired apartment for 6 months The higher the value, the smaller the value may be set. Accordingly, when an excessive competition rate is expected, the user can control in a direction to provide a notification message even if the degree of similarity to the apartment desired by the user is relatively low.

The receiver 110 according to an embodiment includes a wired/wireless communication device that is connected to one or more user terminals 200 and other devices (eg, terminals, servers) through a network to transmit/receive various information described below. can do. In addition, the processor 120 may perform a series of operations for providing subscription information, and may be implemented as a central processor unit (CPU) that controls the overall operation of the device 100 , the receiving unit 110 and other It can be electrically connected to the components to control the flow of data between them.

In addition, it can be understood by those of ordinary skill in the art that other general-purpose components other than those shown in FIG. 2 may be further included in the device 100 . For example, the device 100 may further include a storage unit (eg, a memory, a database) for storing data used throughout the operation, an input/output interface for receiving a user input or outputting information, and the like.

8 is a flowchart illustrating in more detail another example of a method for the device 100 to provide subscription information according to an embodiment.

Referring to FIG. 8 , the subscription information providing system 1000 may further include one or more institutional servers 300 and one or more customer information processing servers 400 , and the device 100 may be connected to them through a network. there is. In one embodiment, the institution server 300 may provide information on the subscription announcement for an apartment, for example, it is operated by a national institution (eg, Korea Housing and Land Corporation, etc.) to sell and lease apartments or houses. It may be a server that announces the subscription schedule and related information. In addition, the customer information processing server 400 may be one or more servers capable of integrated management of the user's financial information, for example, operated by a my data operator and based on the user's consent, the user's financial information (eg, financial products) subscription information, credit information, etc.) may be provided to the device 100 .

In step S801, the device 100 may receive a user input for subscription-related context information from the user terminal 200, for example, whether the user owns a house, the date of birth, It is possible to receive user input for marital status and marital period, homeless period, dependent family status, number of dependents, subscription account subscription period, and the like.

In step S802, the device 100 may receive the user's financial information from the customer information processing server 400. For example, when the user agrees to the My Data inquiry, the customer information processing server 400 corresponding to the My Data service provider 400 ) to receive subscription information on the subscription account of the user in conjunction with the subscription account to determine the subscription period, etc., otherwise, the corresponding step may be omitted.

In step S803, the device 100 may determine an additional subscription point for the user based on the subscription-related context information, for example, after determining the homeless score, the dependents score, and the subscription passbook score by reflecting the information received according to the user input Subscription points can be calculated and provided.

In step S804, the device 100 may receive a user input for desired apartment specific information from the user terminal 200, for example, through the expected winning added point range calculation menu for calculating the expected winning added point range, the user wants It is possible to receive a selection input for the apartment to be subscribed nationwide and the desired type of the subscription apartment.

In step S805 , the device 100 may determine an expected winning added point range for the desired apartment based on the desired apartment specific information and the desired apartment related information, for example, according to the above-described embodiments, a database using the desired apartment specific information Obtain desired apartment-related information from It is possible to calculate the probability of winning the subscription based on the information.

In step S806, the device 100 may provide subscription information on the possibility of winning the subscription to the user terminal 200, for example, as shown in FIG. , it is possible to provide subscription information including the possibility of winning the subscription, the expected number of applicants, and the expected competition rate.

Accordingly, the device 100 analyzes user information such as subscription subscription information and income information, and big data information such as subscription results and market prices to guide the possibility of winning the subscription for the subscription apartment that the user wants, so that the user is likely to win You can check the apartment for which there is a subscription and apply for it.

In step S807, the device 100 may receive the user's financial information from the customer information processing server 400 at a preset cycle, for example, through interworking with the customer information processing server 400, the user's subscription passbook subscription period, etc. You can check whether the values of items used to determine additional points have changed.

In step S808 , the device 100 may update the subscription additional points for the user as the user's financial information is updated, and for example, change the subscription account subscription period of the user through interworking with the customer information processing server 400 . If this is confirmed, additional points for subscription can be recalculated by reflecting the changed information.

In step S809, the device 100 may provide the user terminal 200 with subscription information about the updated subscription additional points and the updated subscription winning possibility, for example, by reflecting the changed information to receive additional subscription points and subscription winning for the desired apartment. It can provide a message indicating that the possibility has been recalculated.

Accordingly, when a change occurs in items for calculating additional points for subscription, the device 100 may provide a notification message to the customer to support the customer's subscription application.

In step S810, the device 100 may receive the subscription announcement information for the apartment from the institution server 300, for example, by checking the subscription announcement information for the apartment registered or posted in the institution server 300 at a preset cycle. You can update the subscription announcement information for the apartment.

In step S811 , the device 100 may determine the possibility of winning the subscription of the user for the apartment for which the subscription is announced, and in step S812 , when the likelihood of winning the subscription is greater than or equal to a preset value, a notification message may be transmitted to the user terminal 200 . For example, when a newly registered apartment is searched for, the expected winning additional point range for the apartment can be determined, and the user's subscription winning probability can be calculated based on the user's subscription additional point, and the calculated subscription probability is greater than or equal to the preset value In this case, it is possible to provide a notification message indicating that the subscription has been registered for an apartment with a possibility of winning with the user's subscription additional points.

Accordingly, the device 100 may support the customer's subscription application by providing a notification message to the customer by checking whether the apartment is likely to win with the user's subscription additional points whenever an subscription for a new apartment is announced.

The order and combination of the steps shown above is an embodiment, and the order, combination, branch, function and the performing subject are various in addition, omission or modified form within a range that does not deviate from the essential characteristics of each component described in the specification. It can be seen that it can be implemented.

Meanwhile, the above-described method can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable recording medium. In addition, the structure of the data used in the above-described method may be recorded in a computer-readable recording medium through various means. The computer-readable recording medium includes a storage medium such as a magnetic storage medium (eg, ROM, RAM, USB, floppy disk, hard disk, etc.) and an optically readable medium (eg, CD-ROM, DVD, etc.) do.

The description of the present disclosure described above is for illustration, and those of ordinary skill in the art to which the present disclosure pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present disclosure. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present disclosure is indicated by the following claims, 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 disclosure.

1000: subscription information providing system 100: device
110: receiver 120: processor
200: user terminal 300: organization server
400: customer information processing server

Claims (10)

In the method of providing subscription information,
based on the user input, obtaining subscription-related context information and desired apartment specific information;
determining additional points for a subscription for a user based on the subscription-related context information;
determining an expected winning additional point range for the desired apartment based on the desired apartment specific information and the desired apartment-related information; and
Including; providing subscription information on the possibility of winning subscription based on the additional subscription point and the expected winning additional point range;
The step of determining the expected winning point range is
acquiring the desired apartment-related information including at least one of subscription history information, surrounding information, traffic information, actual transaction price information, and population information in the same area or surrounding area of the desired apartment based on the desired apartment specific information; and
Using the desired apartment-related information to determine the expected winning plus point range including the expected winning highest plus and expected winning plus for the desired apartment; and
The step of determining the expected winning point range is
determining an initial expected additional point range based on the minimum subscription additional points, the highest subscription additional points, the number of subscription applications, the subscription competition rate, and the subscription winning probability for a preset period included in the subscription history information;
determining a grade for the desired apartment by using the subscription history information, the surrounding information, the traffic information, the actual transaction price information, and the population information; and
Determining the expected winning additional point range using the initial expected additional point range and the grade.
The method of claim 1,
When the subscription announcement information for an apartment in which the subscription winning probability is greater than or equal to a preset value is obtained, providing a notification message including the subscription announcement information and the subscription winning possibility to a user terminal corresponding to the user; further comprising; How to.
2. The method of claim 1
The information on the status of the above subscription is
Including at least one of home ownership status, date of birth, marital status, non-homeownership period, dependent family status, and subscription account membership;
The desired apartment specific information is
Including at least one of a name of the desired apartment, an apartment type, a construction company name, and a local name.
4. The method of claim 3,
The step of determining the subscription point is
determining a homelessness score based on the homeownership status, the date of birth, the marital status, and the homeless period;
determining a dependent score based on the marital status, the dependent status, and the number of dependents;
determining a subscription passbook score based on the subscription passbook membership date; and
Determining the additional subscription points based on the homeless score, the dependent family score, and the subscription passbook score; including, a method.
The method of claim 1,
The step of determining the grade for the desired apartment is
determining a score according to a preset condition for a plurality of items set in each of the subscription history information, the surrounding information, the traffic information, the actual transaction price information, and the population information;
determining a score for the desired apartment based on the scores for the plurality of items; and
Determining a grade for the desired apartment corresponding to a score range to which the score for the desired apartment belongs.
The method of claim 1,
The step of providing subscription information about the possibility of winning the subscription is
determining an expected number of applicants and an expected competition rate for the desired apartment by using the desired apartment-related information; and
Determining the possibility of winning the subscription based on the subscription plus point, the expected winning plus point range, the expected number of applicants, and the expected competition rate.
6. The method of claim 5
The step of determining the expected winning point range is
and determining the expected winning additional point range increased or decreased by the adjustment ratio from the initial expected additional point range by applying an adjustment ratio corresponding to the grade for the desired apartment.
The method of claim 1,
The step of determining the expected winning point range is
The expected winning additional point based on a first weight given to the subscription history information, a second weight equally given to the surrounding information and the traffic information, and a third weight equally given to the actual transaction price information and the population information determine the scope,
wherein the first weight is greater than the third weight and the third weight is greater than the second weight.
In the subscription information providing device,
a receiving unit for obtaining subscription-related context information and desired apartment specific information based on a user input; and
Determine additional points for subscription for the user based on the subscription-related situation information, determine an expected winning additional point range for the desired apartment based on the desired apartment specific information and the desired apartment-related information, and determine the additional additional points for the subscription and the expected winning additional points A processor that provides subscription information on the possibility of winning the subscription based on the range;
the processor is
Obtaining the desired apartment-related information including at least one of subscription history information, surrounding information, traffic information, actual transaction price information, and population information in the same area or surrounding area of the desired apartment based on the desired apartment specific information,
Using the desired apartment-related information to determine the expected winning plus point range including the highest expected winning plus and the expected lowest won for the desired apartment,
Determination of the initial expected additional points range based on the minimum subscription additional points, the highest subscription additional points, the number of subscription applications, subscription competition rate, and subscription winning probability during the preset period included in the subscription history information,
Determine the grade for the desired apartment by using the subscription history information, the surrounding information, the traffic information, the actual transaction price information, and the population information,
The device determines the expected winning additional point range by using the initial expected additional point range and the grade.
A computer-readable recording medium in which a program for executing the method of any one of claims 1 to 8 in a computer is recorded.

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