KR102321305B1 - Method and server for providing rental housing application diagnosis service - Google Patents

Abstract

A method of providing a rental housing subscription diagnosis service through an application executed on a mobile device is disclosed. The method of providing a rental housing subscription diagnosis service of the present invention comprises the steps of: displaying questionnaire questions for entering user information related to subscription including interest rental type; receiving, from a user, an answer to a displayed questionnaire; on the basis of the inputted answer, determining whether the user is eligible for subscription according to the rental conditions of the rental housing corresponding to the rental type of interest among the rental housing currently recruiting for subscription, and calculating, for rental housing eligible for subscription, subscription points according to a scoring criteria set differently for each rental type and occupancy qualification type; displaying a recruitment notice in which the recruitment notice of the rental housing eligible for subscription is listed first; and when any one of recruitment announcements displayed by the user is selected, displaying competition rate prediction information including subscription scores and competition rates calculated according to the type of occupancy qualification. In the step of displaying the competitive rate prediction information, with respect to a recruitment notice selected among previous recruitment notices with the same supplier and rental type and to a recruitment notice with the same unit area, final competitive rates collected from suppliers is displayed by complex or district. If there is no recruitment notice in the same unit area as that of the selected recruitment notice, the final competitive rates of a recruitment notice corresponding to a neighboring unit area adjacent to unit area among the previous recruitment notices are displayed. Users can conveniently understand housing subscription information.

Description

Method of providing rental housing subscription diagnosis service and server therefor { METHOD AND SERVER FOR PROVIDING RENTAL HOUSING APPLICATION DIAGNOSIS SERVICE }

The present invention relates to a method of providing a rental housing subscription diagnosis service and a server therefor, and more particularly, to a method for providing a rental housing subscription diagnosis service capable of providing user-customized subscription information, and a server therefor.

Rental housing is an apartment, villa, etc. built for the purpose of rental by a public institution or a private business for the low-income earners.

Demand for rental housing is steadily increasing due to the recent rise in house prices in the metropolitan area and the introduction of various systems favorable to tenants.

As for rental housing, there are various rental types of public housing such as permanent rental housing, national rental housing, long-term jeonse housing, happy housing, and public rental housing. However, it is not easy for those in need of rental housing to actually have a chance to win the subscription because there are qualification requirements as complicated as various rental types, and the competition rate for subscription is high even if the qualification requirements are satisfied.

In addition, it is not easy to apply for an application in a timely manner at the time of the announcement of the recruitment because information on the application for rental housing of various rental types is scattered. It is not easy to judge whether it is advantageous to

As an example of the prior art, Republic of Korea Patent Registration No. 10-2202949, by answering the check questions in the form of a questionnaire about the housing subscription of interest and automatically analyzing them, check whether the qualification requirements are met and how many points are allocated in advance, and subscribe by mistake. Disclosed is an apparatus and method for providing a housing subscription service that can prevent the risk of becoming ineligible.

The prior art has the advantage of minimizing the risk of being unqualified by mistake by automatically calculating subscription qualifications or points, but it is specialized for pre-sale housing rather than rental housing. It is not described, and a solution for predicting and providing the competition rate in various ways is also not described.

Therefore, there is an increasing need for a method that can easily check various subscription information that is being advertised based on various types of public housing data and find the rental conditions that are optimized for me by entering simple information.

The present invention has been devised to solve the above problems, and the present invention allows a user to conveniently grasp housing subscription information, and increases the possibility of winning subscription based on subscription diagnosis results, subscription interest survey results, and competition rate prediction. An object of the present invention is to provide a method for providing a rental housing subscription diagnosis service and a server for the same.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

A method of providing a rental housing subscription diagnosis service through an application executed on a mobile device according to an embodiment of the present invention includes displaying a questionnaire for inputting user information related to subscription including a rental type of interest, from the user to the displayed questionnaire receiving an answer to the answer; based on the inputted answer, determining whether the user is eligible for subscription according to the rental conditions of the rental housing corresponding to the rental type of interest among the rental housing currently recruiting for subscription, and determining whether the user is eligible for subscription For housing, calculating the subscription points according to the scoring criteria set differently for each rental type and occupancy qualification type, displaying a recruitment notice in which the recruitment notice of the rental housing eligible for the subscription is listed preferentially, and the user Comprising the step of displaying competition rate prediction information including the subscription score and competition rate calculated according to the type of occupancy qualification when any one of the displayed recruitment notices is selected by

In the step of displaying the competition rate prediction information, the final competition rate collected from the supplier for the selected recruitment notice and the previous recruitment notice having the same supplier and rental type as the selected recruitment notice and the same unit area for each district However, if there is no recruitment notice having the same unit area as the selected recruitment notice, the final competitive rate of the recruitment notice corresponding to the unit area adjacent to the unit area among the previous recruitment notices is displayed.

In this case, the method of providing a rental housing subscription diagnosis service further includes providing a menu for a survey of users' interest in a recruitment announcement of a rental housing currently being solicited for subscription, and the step of displaying the competition rate prediction information is the interest survey Based on the user information of the participant collected from each of the participants and information on the preferred complex selected by the participant in the interest level survey among a plurality of complexes in the selected recruitment notice, the individual interest in the selected recruitment announcement is determined by the participant. It can be further displayed in the form of statistical information including age group, place of residence, and point of subscription.

In addition, the occupancy qualification type is at least one of permanent rental housing, long-term jeonse housing, public rental housing, private rental housing, national rental housing, happy housing, redevelopment rental housing, station area youth housing, urban living housing and existing housing purchase rental housing. Within the rental types including It may be a specific type of qualification provided.

In addition, the displaying of the competition rate prediction information further displays information on the supply area that can be subscribed according to at least one of the number of household members to which the user belongs, the payment amount in the subscription account, and the monthly average income based on the input answer. can do.

In addition, the step of displaying the recruitment notice includes information on rental housing that is not the recruitment notice period, the past notice history of rental housing that is not the recruitment notice period, and information on the expected next recruitment notice period predicted according to the past notice history can be further displayed.

In addition, the step of displaying the recruitment notice includes a unit to which the rental housing filtered according to the user's selection belongs by using a search filter including at least one of unit area, rental type, deposit, monthly rent, supply area, and completion delay. A map in which an icon representing the filtered rental house is marked in each area may be further displayed.

In addition, the step of displaying the competition rate prediction information includes the preliminary move-in order number, the number of waiters for move-in in a complex selected in detail by the user in the selected recruitment notice, and the past period when there is a pre-assigned move-in order number to the user. It is possible to further display the available time for the user to move into the complex, which is predicted based on statistics on the number of evictions for a set period.

In addition, the displaying of the competition rate prediction information includes the user's virtual ranking predicted among the participants of the interest level survey based on the user information and the information on the preference complex respectively collected from the participants of the interest level survey. More information can be displayed.

In addition, the method of providing a rental housing subscription diagnosis service includes the steps of: providing a menu for surveying and reviewing the satisfaction of existing tenant users of the rental housing currently recruiting for subscription; The method may further include displaying a written review so that it can be read, and providing a reward corresponding to the number of recommendations received from other users with respect to the read written review to existing resident users participating in the satisfaction survey.

Meanwhile, the server operating the subscription diagnosis platform serviced by the mobile device according to an embodiment of the present invention includes a communication unit, a storage unit, and a communication unit that communicates with a mobile device of a user executing an application based on the subscription diagnosis platform, and the mobile device. Displays a questionnaire for inputting user information related to subscription including interest rental type, receives an answer received from the user for the displayed questionnaire through the communication unit, and stores it in the storage unit, based on the stored answer Among the rental housing currently being solicited for subscription, it is determined whether the user is eligible for subscription according to the rental conditions of the rental housing corresponding to the rental type of interest, and for rental housing that is eligible for subscription, the rental type and occupancy qualification type are set differently. Calculating the subscription points according to the scoring criteria table, displaying the recruitment notice in which the recruitment notice of the rental housing eligible for the subscription is listed preferentially, and if any one of the displayed recruitment notices is selected by the user, the move-in A processor for controlling to display competition rate prediction information including subscription points and competition rate calculated according to the qualification type;

The processor displays the final competition rate collected from the supplier for each complex or district with respect to the selected recruitment notice and the same unit area among the immediately preceding recruitment notices having the same supplier and rental type as the selected recruitment notice, but the selected recruitment When there is no recruitment notice having the same announcement and unit area, control is performed to display the final competitive rate of the recruitment notice corresponding to the unit area and adjacent unit area among the previous recruitment notices.

At this time, the processor provides a menu for a survey of users' interest in the recruitment announcement of a rental house currently recruiting for subscription, the user information of the participant collected from the participants of the interest survey, and a plurality of the selected recruitment announcements. Based on the information on the preferred complex selected by the participant in the interest level survey among the complexes, the level of interest for each complex for the selected recruitment announcement is controlled to be further displayed in the form of statistical information including the age, residence, and subscription score of the participant. can

In addition, the processor is controlled to further display information about the rental housing that is not the recruitment notice period, the past notice history of the rental housing other than the recruitment notice period, and the information about the expected next recruitment notice period predicted according to the past notice history can do.

In addition, the processor uses a search filter including at least one of unit area, rental type, deposit, monthly rent, supply area, and completion time difference to the unit area to which the filtered rental house belongs according to the user's selection. It can be controlled to further display a map in which each icon representing a rental house is marked.

In addition, if there is a preliminary move-in turn number assigned to the user, the processor determines the move-in preliminary order number, the number of waiters for move-in in a complex selected in detail by the user within the selected recruitment notice, and the number of evictions during the past preset period It is possible to control to further display when the user can move into the complex for the predicted based on statistics.

In addition, the processor controls to further display the virtual ranking information of the user predicted among the participants of the interest level survey based on the user information and information on the preference complex collected from the participants of the interest level survey, respectively can do.

In addition, the processor provides a menu for satisfaction survey and review of existing tenant users of the rental housing currently recruiting for subscription, and displays a satisfaction index and written review indicating the satisfaction surveyed from the existing users so that it can be viewed, , it is possible to control to provide a reward corresponding to the number of recommendations received from other users with respect to the read written review to the existing tenants participating in the satisfaction survey.

According to the present invention, it is possible to grasp the subscription information scattered for each rental housing supplier at once, and to provide customized subscription information based on the information input by the user.

In particular, by providing a scoring criterion for each type of occupancy qualification for rental housing, it induces users to apply for a subscription with favorable rental type and occupancy qualification type, and displays competition rate prediction information based on the announcement history for each recruitment notice, allowing users to compete with each other. It is possible to more objectively predict and apply for a subscription, thereby increasing the probability of winning the subscription.

In order to more fully understand the drawings recited in the Detailed Description of the Invention, a brief description of each drawing is provided.
1 is a view showing the configuration of a rental housing subscription diagnosis system according to an embodiment of the present invention;
2 is a flowchart for explaining a rental housing subscription diagnosis method according to an embodiment of the present invention;
3 is a flowchart for explaining a specific method of displaying competition rate prediction information according to the diagnosis of rental housing subscription according to an embodiment of the present invention;
4 is a view showing a screen for providing a questionnaire for diagnosing a user's subscription according to an embodiment of the present invention;
5 and 6 are views showing a screen on which a user's subscription point is displayed for each occupancy qualification type according to an embodiment of the present invention;
7 is a view showing a screen listing a recruitment notice of a rental house according to an embodiment of the present invention;
8 is a view showing a screen for providing competition rate prediction information based on a past recruitment history according to an embodiment of the present invention;
9 is a view showing a screen for providing competition rate prediction information according to the degree of interest in subscription according to an embodiment of the present invention;
10 is a view showing a screen for providing information on the expected period of the next recruitment announcement according to an embodiment of the present invention;
11 is a view showing a screen providing a map marked with an icon representing a rental house under recruitment announcement according to an embodiment of the present invention;
12 is a block diagram schematically illustrating the configuration of a server that provides a rental housing subscription diagnosis platform according to an embodiment of the present invention.

First, the terms used in the present specification and claims have been selected in consideration of functions in various embodiments of the present invention. However, these terms may vary depending on the intention, legal or technical interpretation of a person skilled in the art, and the emergence of new technology. Also, some terms may be arbitrarily selected by the applicant. These terms may be interpreted in the meanings defined in this specification, and if there is no specific term definition, it may be interpreted based on the general content of the present specification and common technical knowledge in the art.

Also, the same reference numerals or reference numerals in each drawing appended to this specification indicate parts or components that perform substantially the same functions. For convenience of description and understanding, the same reference numerals or reference numerals are used in different embodiments. That is, even though all the components having the same reference number are shown in the plurality of drawings, the plurality of drawings do not mean one embodiment.

In addition, in this specification and claims, terms including ordinal numbers such as 'first' and 'second' may be used to distinguish between elements. This ordinal number is used to distinguish the same or similar components from each other, and the meaning of the term should not be limitedly interpreted due to the use of the ordinal number. As an example, the components combined with such an ordinal number should not be construed as limiting the order of use or arrangement by the number. If necessary, each ordinal number may be used interchangeably.

In this specification, the singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as 'comprise' or 'comprise' are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification is present, and one or more other It should be understood that this does not preclude the possibility of addition or presence of features or numbers, steps, operations, components, parts, or combinations thereof.

In addition, in an embodiment of the present invention, when it is said that a part is connected to another part, this includes not only a direct connection but also an indirect connection through another medium. In addition, the meaning that a certain component includes a certain component does not exclude other components unless otherwise stated, but may further include other components.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.

1 is a diagram showing the configuration of a rental housing subscription diagnosis system according to an embodiment of the present invention.

According to FIG. 1 , the rental housing subscription diagnosis system 1000 includes a server 100 on which a rental housing subscription diagnosis platform is built, and a mobile device 200 on which an application dedicated to the platform is installed and driven, the server 100 and the mobile device 200 may be connected to each other through the network 2000 .

Here, the mobile device 200 is a device owned by a user who has signed up for a rental housing subscription diagnosis platform, and includes at least one processor for performing communication functions, storage and execution functions of platform-only applications, and input/output of various data. It may refer to portable devices of a comprehensive concept that include input/output circuits, display circuits capable of displaying various data, and the like, and can provide Internet services including Internet data to users through a wireless link. As a representative example, the mobile device 200 is preferably implemented as a smart phone having a touch display, but is not limited thereto, and an application or web service provided by the server 100 can be implemented using a tablet PC, a smart TV, It may be implemented in various devices having a display unit, such as a PDA, a notebook PC, a kiosk, a handheld computer, a wearable device, and the like.

Meanwhile, the server 100 is a server on which a rental housing subscription diagnosis platform is built and a service for it can be provided to the mobile device 200 , and can transmit and receive data to and from each other through the mobile device 200 and the network 2000 . have.

Here, the network 2000 is preferably implemented as a communication network, which is a high-speed backbone network of a large-scale communication network capable of providing large-capacity, long-distance voice and data services. The network 2000 may be the Internet or a next-generation wired and wireless network for providing high-speed multimedia services. When the network 2000 is a mobile communication network, it may be implemented as a synchronous mobile communication network or an asynchronous mobile communication network. As an embodiment of the asynchronous mobile communication network, there may be a wideband code division multiple access (WCDMA) type communication network. In this case, although not shown in the drawing, the network 2000 may include a radio network controller (RNC). Meanwhile, the network 2000 may be implemented as a next-generation communication network such as 3G LTE network, 4G, 5G network, or other IP-based IP network.

A detailed configuration of the server 100 and its operation will be described later in the description of FIG. 12 .

2 is a flowchart illustrating a method for diagnosing a rental housing subscription according to an embodiment of the present invention. Each step executed according to the method described below is generally executed by the server 100 , but some steps may be executed by the mobile device 200 .

First, a questionnaire for inputting user information related to subscription from the user may be displayed on the application running on the user's mobile device 200 ( S210 ). In this case, the subscription-related user information input from the user may include user information related to the interest rental type and subscription qualification.

Here, the rental type of interest is the rental type preferred by the user. It may refer to a rental type classified as a housing purchase rental housing, etc. The user may select a plurality of rental types in the form of checking the questionnaire.

In addition, user information related to subscription qualification includes the user's date of birth, residence area, moving date from residence area, whether the user and members of the user's household own a house, marital status, number of household members and dependents, number of children, parental support It is information including whether or not, monthly average income, total assets, vehicle value, existence of subscription account, amount of payment to subscription account, subscription period, number of subscriptions to subscription account, presence or absence of disability, and whether or not previous subscriptions have been won. It may mean information used for calculation.

As shown in FIG. 4 , the questionnaire for receiving such subscription-related user information may be provided in a form in which the user selects any one of the given options 41 and 42, and such a questionnaire It may be displayed within the membership registration process for creating a user account of the application, or may be displayed through a separate subscription diagnosis menu or a pop-up window within the application.

When the user inputs an answer to the displayed questionnaire, the input answer may be received and stored in the server 100 (S220).

Thereafter, based on the answer input from the user, it is determined whether the user is eligible for subscription according to the rental conditions of the rental housing corresponding to the rental type of interest selected by the user among the rental housing currently being solicited for subscription, and the rental housing eligible for subscription For each rental type and occupancy qualification type, it is possible to calculate the subscription points according to the scoring criteria set differently for each type of occupancy (S230).

Specifically, the server 100 receives information on rental housing currently being solicited for subscription through an API provided from a supplier linked to the subscription diagnosis platform, and responds to the rental type of interest selected by the user in the questionnaire among the rental housing currently recruiting for subscription It is possible to determine whether the user is eligible for subscription by comparing the rental conditions of the rental housing being used and the answer entered by the user.

If the subscription qualification for the rental type of interest selected by the user is not satisfied, a message indicating that the subscription qualification is not available for the rental type may be displayed or excluded from the subscription diagnosis result.

When the subscription qualification is satisfied for the rental type of interest selected by the user, the subscription score may be calculated according to the scoring criteria set differently for each rental type and occupancy qualification type, and this may be displayed as a subscription diagnosis result.

Here, the resident qualification type is a detailed qualification type in which priority is given according to the qualification conditions of the applicant, and different scoring criteria may be provided for each resident qualification type.

For example, if there are 3 or more minor children (Condition 1), the monthly average income is below 120% (Condition 2), the subscription period is 6 months or more, and the number of payments is 6 or more (Condition 3) If all users are satisfied with the 'public rental multiple children' occupancy qualifications, therefore, subscription points can be calculated according to the scoring criteria corresponding to the 'public rental multiple children' occupancy qualification type.

As another example, if you are married and registered within 7 years of marriage (Condition 1), own a subscription account (Condition 2), and have an average monthly income of 70% or less (Condition 3), you can move into 'National Rental Newlyweds' Qualifications are satisfied, and therefore, subscription points can be calculated according to the scoring criteria corresponding to the type of 'National Rental Newlyweds' occupancy qualifications.

As shown in FIG. 5 , when the subscription qualification determination and subscription point calculation are completed, a diagnosis result screen indicating the subscription diagnosis result may be displayed. The diagnosis result screen may be divided into an area 51 in which main user information related to the user's subscription qualification is displayed and an area 52 in which subscription points calculated for each rental type and occupancy qualification type are displayed.

In the area 52 where the subscription score is displayed, the subscription score calculated for each subscription solicitation information that satisfies the user's subscription qualification among subscription solicitation information corresponding to the rental type of interest of the user is displayed, as shown in FIG. 5 . Subscription points 53 and 54 may be displayed differently for each occupancy qualification type.

That is, in the case of 'LH National Rental (less than 50㎡)' corresponding to the rental type of interest selected by the user, subscriptions can be solicited for each occupancy qualification type, and the scoring criteria can be set differently for each occupancy qualification type. At this time, if the user satisfies both the general occupancy qualifications and the newlyweds occupancy qualifications for newlyweds, it is applied to the subscription point 53 calculated according to the occupancy qualification type that prioritizes newlyweds and the general occupancy qualification type. The subscription points 54 calculated accordingly may be displayed together.

Referring to the example shown in FIG. 5 , for the occupancy qualification type targeting newlyweds first, a score of 10 subscription points can be calculated based on a scoring criterion based on a total score of 13 points, and the general qualification type is 27 points. 22 points of subscription points can be calculated based on the scoring criteria table based on the perfect score. Here, each of the calculated subscription points may be recalculated and displayed according to a unified perfect score such as 10 points or 100 points.

Accordingly, it is possible to induce the user to apply for a subscription with a more advantageous occupancy qualification type among several occupancy qualification types for which subscription points are calculated.

When the user selects any one of the displayed occupancy qualification types, as shown in FIG. 6 , the detailed diagnosis result 61 ) can be checked. In addition, the consulting result 62 including information on the application period, priority, and resident selection criteria for the selected qualification type may be displayed.

On the other hand, in FIG. 5, newlyweds are taken as an example as a qualification condition, but a occupancy qualification that provides a scorecard according to qualification conditions including dependents of elderly parents, the disabled, multiple children, the elderly, persons of national merit, single parents, the first in life, and other housing disadvantaged persons. Subscription points may be calculated for each type.

In the recruitment notice menu screen, it is possible to display a recruitment notice in which the recruitment notice of rental housing eligible for subscription is listed preferentially (S240).

Referring to FIG. 7 , based on the subscription diagnosis result, only the recruitment notice 71 of rental housing that the user satisfies the subscription qualification is extracted from among the rental housing currently recruiting for subscription and listed, or the recruitment notice 71 is listed from top to bottom. You can list preferentially by direction. At this time, the user can filter the recruitment announcement 71 listed through the filter 11 according to a preset option to be displayed. Here, the preset option may include at least one of the area where the rental house is located, the rental type, the type of occupancy qualification, the status of the announcement (whether receiving or closed), the supplier, and the type of announcement (new house or preliminary recruitment). .

When the user selects any one of the displayed recruitment notices 71, subscription information (supply target, supply schedule, rental conditions, etc.) for the selected relevant recruitment notice 71 is displayed, and in addition, the calculated Competition rate prediction information including subscription score and competition rate may be further displayed (S250). In this case, the competition rate prediction information may be information on a currently expected competition rate based on a past recruitment history.

In addition, the subscription score calculated according to the occupancy qualification type of the selected recruitment notice 71 may be displayed together with the competition rate prediction information, and further information on the supply area that can be subscribed according to the number of household members to which the user belongs can be displayed For example, in the case of national rental, if there are not more than two household members (single household), the supply area is less than 40㎡, and if there are two or more household members and no subscription account is owned, the supply area is less than 50㎡ In case of having 2 or more members of the household and owning a subscription account, the information that it is possible to apply for a supply area of 60㎡ or less can be displayed.

Specifically, FIG. 3 is a flowchart for explaining a specific method of displaying competition rate prediction information according to the diagnosis of rental housing subscription according to an embodiment of the present invention.

When any one recruitment notice is selected by the user (S310), it is determined whether there is an immediately preceding recruitment notice having the same selected corresponding recruitment notice and the same supplier and rental type (S320).

If the previous recruitment notice exists (S320: Yes), the recruitment notice selected from the previous recruitment notice and the unit area are the same and the final competition rate is displayed (S330). However, if the previous recruitment notice does not exist (S320: No), it is possible to display the final competition rate of the recruitment notice corresponding to the unit area and adjacent neighboring unit area among the previous recruitment notice (S340). Here, the unit area may mean a pre-set area range of only the district or more.

Specifically, FIG. 8 shows a screen for providing competition rate prediction information based on a past recruitment history according to an embodiment of the present invention.

As shown in FIG. 8 , on the recruitment notice screen, the final competition rate for each occupancy qualification type of the past recruitment notice for the recruitment notice selected by the user may be displayed as visual data through the graph 81, and accordingly, the user moves in. The final competition rate for each qualification type can be predicted more conveniently and intuitively. At this time, as shown in the graph 81, the final competition rate for the selected recruitment notice and the recruitment notice (horizontal axis) different from the unit area may also be displayed as comparison data. Here, other recruitment notices may belong to the same recruitment notice of the supplier and the rental type among the recruitment announcements of the rental housing listed in which the user satisfies the subscription qualification.

In addition, information 82 on the past recruitment history including information on the highest and lowest competition rates may be displayed separately from this. The information 82 on the past recruitment history may be information including the name of the complex, the final competition rate, the number of recruitment and the previous announcement date.

In addition, the recruitment notification screen may include an SNS menu 83 that can communicate with other users. When the user selects the corresponding SNS menu 83, the user can move to a page where subscription information can be shared by registering a post or comment for the corresponding recruitment notice.

In addition, the competition rate prediction information includes the supply area that the user can subscribe to based on at least one of the number of household members to which the user belongs, the amount paid in the subscription account, and the monthly average income, based on the answers input by the user through the questionnaire questions. m2, 39m2, 49m2, 59m2, etc.) can be further displayed.

In addition, according to an embodiment of the present invention, when there is a preliminary occupancy order number assigned to the user, the user's occupancy preliminary order number, a waiting waiter for a occupancy in one complex selected in detail by the user among a plurality of complexes in the recruitment notice selected by the user The predicted occupancy time may be further displayed based on the number and statistics on the number of evictions during a preset period in the past.

Here, the preliminary move-in number refers to the right to move in according to the order in which the user meets the qualifications but waits for the move-in because the vacant household does not appear.

In addition, the number of waiting people to move in is the number of winners waiting to move in after winning the corresponding recruitment notice in the complex selected by the user, and the number of evictions means the number of households that have moved out of the complex in the past. In addition, it is desirable to calculate the number of evictions by counting the number of evictions within the past one year from the present, and the number of people waiting to move in and the number of evictions may be periodically updated.

For example, if the sum of the number of waiting people for move-in and the user's preliminary move-in number is higher than the number of evictions in the immediately preceding year, the predicted available move-in period for the complex may be calculated as a later day. Conversely, if the sum of the number of waiting people for occupancy and the user's preliminary occupancy number is lower than the number of evictions in the immediately preceding year, the predicted occupancy period for the complex may be calculated as the earlier date. Here, it is preferable that the occupancy period is calculated so as to vary in proportion to the difference between the number of occupants waiting for occupancy and the sum of the user's preliminary occupancy number and the number of evictions.

On the other hand, according to an embodiment of the present invention, in addition to the science history, it is also possible to provide competition rate prediction information according to the degree of interest in the subscription directly surveyed from users.

Specifically, the user may participate in the subscription interest survey by selecting the subscription interest menu for the interested recruitment announcement among the respective recruitment announcements listed on the screen. Subscription interest in a social network service (Social Network Service) performs a function like a kind of 'like' running on a post.

Also, in the subscription interest menu, an interest complex selection menu may be additionally provided in which the participant can additionally select at least one preferred complex from among a plurality of complexes that are detailed recruitment units in the selected recruitment notice. Information on the complex selected by the participants from the complex selection menu of interest may be transmitted to the server 100 and processed into statistical information about the preferred complex.

As shown in FIG. 9 , the subscription interest is based on the user information of the participants each collected from the participants of the interest level survey and information on the preferred complex selected by the participant in the interest level survey among a plurality of complexes in the selected recruitment announcement, the corresponding recruitment It may be provided in the form of statistical information 91 including the age, residence, and subscription score of the participant for each level of interest in the announcement. Here, the statistical information 91 may be information in which the age distribution of the participant is displayed through visual data such as a bar graph, and the participant's residence is displayed by rank.

In addition, the participant list 92 including the region/age of users participating in the interest level survey, the number of subscription points, and the number of subscription payments may be displayed in a portion of the screen.

On the other hand, the interest in subscription may be investigated by the participation of users, but according to an embodiment, the interest in subscription may be predicted based on a user behavioral response. For example, based on the number of times users viewed the recruitment notice (page views), posts or comments registered in the SNS menu of the recruitment notice, and the time users stayed on the recruitment notice page, users can subscribe to the recruitment notice. It is also possible to predict the degree of interest in , and generate statistical information based on this.

On the other hand, the displayed competition rate prediction information may further include virtual ranking information of the user predicted among the participants of the interest level survey, based on the user information and the information about the preference complex, respectively collected from the participants of the interest level survey. . This is to provide a more accurate competition rate prediction information by collecting information on the relevant recruitment notice and interested users who are planning to apply for the complex or have a high probability of applying for a virtual ranking.

Accordingly, by allowing the user to select a recruitment announcement and a complex having a high virtual ranking for each recruitment announcement and detailed complex, it is possible to increase the winning probability.

On the other hand, according to an embodiment of the present invention, information related to the rental housing and information on the past announcement history may be further displayed for rental housing that is not during the recruitment notice period, such as a rental housing for which the announcement has been completed, a new occupancy complex, etc. . 10 is a view showing a screen for providing information on the expected period of the next recruitment announcement in relation to the present embodiment.

When the user selects a rental house whose announcement has been closed among the recruitment announcements of rental houses listed on the screen, information about the past announcement history, especially the previous announcement history, and information on the competition rate at the time of the last announcement of the last recruitment can be displayed. The information on the competition rate may include the final competition rate and average competition rate for each type of occupancy qualification. The final competition rate and average competition rate for each type of occupancy qualification can be displayed as visual data through the graph 1001, and accordingly, the user can more conveniently and intuitively predict the past competition rate for each type of occupancy qualification.

The graph 1001 shown in FIG. 10 shows that the average competition ratio of all tenancy qualification types is 9 to 1, the average competition ratio of the youth housing qualification type is 21 to 1, the average competition ratio of the housing benefit qualification type is 6.5 to 1, and the average competition ratio of the senior qualification type is 6.5 to 1 This shows that the competition ratio is 3.1 to 1, and the average competition ratio for newlyweds is 4.9 to 1.

In addition, by displaying the notification history 1002 including information on the date of the past recruitment notice at the bottom of the screen, the user can predict when the next recruitment date will be. In addition, as another embodiment, prediction information for the next expected recruitment period may be displayed based on all dates of past recruitment announcements or dates of previous recruitment announcements.

Meanwhile, according to an embodiment of the present invention, it is possible to provide a map marked with an icon indicating a rental house currently being advertised. As shown in FIG. 11 , an icon 1102 including information on the supplier of the rental housing being advertised for recruitment within a specific area, the announcement date, and the competition rate may be marked on the map.

At this time, by using the search filter 1101 including at least one of unit area, rental type, deposit, monthly rent, supply area, and completion time difference, the rental housing to be displayed on the map may be filtered and displayed according to the user's selection. .

On the other hand, according to an embodiment of the present invention, it is possible to additionally provide a menu to a part of the recruitment notice screen to investigate the satisfaction of users who have already moved into the rental housing currently being recruited and to write a review. Existing occupants can switch screens through the menu, score satisfaction with stars, etc., and write reviews containing detailed information about rental housing. At this time, the actual contract information may be authenticated by the existing tenants so that only the existing tenants can participate in the satisfaction survey and review writing.

Satisfaction ratings from users may be accumulated and summed, and calculated and displayed as a statistical satisfaction index for the corresponding recruitment announcement and complex.

Satisfaction index and written review surveyed by existing users may be displayed to be read, and if other users consider the read written review to be a useful review, it can be recommended through a button such as 'Like'.

For existing tenants who participated in the satisfaction survey and review writing, a reward corresponding to the number of recommendations received from other users for the written review may be provided. Here, the rewards may include various benefits including points convertible into cash or cash equivalents, virtual money, and the like.

12 is a block diagram schematically illustrating the configuration of a server that provides a rental housing subscription diagnosis platform according to an embodiment of the present invention.

Specifically, as shown in FIG. 12 , the server 100 may include a communication unit 110 , a storage unit 120 , and a processor 130 .

The communication unit 110 communicates with the mobile device 200 through the network 2000 and may include a communication module for this. Since each specific configuration of the communication unit 110 can be easily implemented by a person having ordinary knowledge in the technical field to which the present invention pertains in order to perform communication through the above-described network 2000, description thereof will be omitted.

The storage unit 120 is configured to store various modules for operating the subscription diagnosis platform. Specifically, the storage unit 120 may include a member database (not shown), an SNS function module (not shown), and a subscription point calculation module (not shown).

The member database is configured to store personal information of users who have signed up for membership in the subscription diagnosis platform, user information related to subscription qualifications input through questionnaire questions, and information on interest rental types.

The SNS function module is a configuration that provides functions such as writing, uploading photos, uploading files, sharing posts, chatting, etc., so that users can share subscription-related information with each other.

The subscription point calculation module is a configuration that judges subscription qualifications or calculates subscription points based on user information related to subscription qualifications, rental type and occupancy qualification type-specific scoring criteria collected from users.

Meanwhile, the processor 130 is a configuration that controls the overall operation of the server 100 .

Specifically, the processor 130 displays a questionnaire for inputting user information related to a subscription including an interest rental type through an application executed on the mobile device 200 , and transmits an answer inputted to the displayed questionnaire from the user to the communication unit It may be received through 110 and stored in the storage unit 120 .

And, based on the answer stored in the storage unit 120, the processor 130 determines whether the user is eligible for subscription according to the rental conditions of the rental housing corresponding to the rental type of interest among the rental housing currently recruiting for subscription, and the subscription qualification For a rental house with this property, it is possible to calculate subscription points according to the scoring criteria set differently for each rental type and occupancy qualification type.

The processor 130 causes the recruitment announcement of the rental housing eligible for the subscription to be displayed on the application screen with the priority listed, and when any one of the recruitment announcements displayed on the screen is selected by the user, the type of occupancy qualification It can be controlled to display the competition rate prediction information including the subscription score and the competition rate calculated according to the .

In particular, the processor 130 displays the final competition rate collected from the supplier for each complex or district with respect to the selected recruitment notice and the selected recruitment notice among the previous recruitment notices with the same supplier and rental type and the same unit area, but selected recruitment If there is no recruitment notice with the same announcement and unit area, it can be controlled to instead display the final competitive rate of the recruitment notice corresponding to the unit area adjacent to the unit area among the previous recruitment notices.

In addition, the processor 130 provides a menu for researching the user's interest in the recruitment announcement of the rental housing currently recruiting for subscription, and based on the data collected from the participants of the interest survey, the interest in the selected recruitment announcement is the participant You can control to display more in the form of statistical information including the age group and residence of

According to the above-described embodiment, it is possible to grasp the subscription information scattered for each rental housing supplier at once, and to provide customized subscription information based on the information input by the user.

In particular, by providing a scoring criterion for each type of occupancy qualification for rental housing, it induces users to apply for an advantageous occupancy qualification type, and displays competition rate prediction information based on the announcement history for each recruitment notice, allowing users to evaluate the competition rate more objectively. It is possible to predict and apply for an application, so the probability of winning the subscription can be increased.

Meanwhile, various embodiments described herein may be implemented by hardware, software, and/or a combination thereof. For example, various embodiments may include one or more application specific semiconductors (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs). ), processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions presented herein, or a combination thereof.

Also, for example, the various embodiments may be embodied in or encoded on a computer-readable medium comprising instructions. The instructions embodied in or encoded on the computer-readable medium may cause a programmable processor or other processor to, for example, perform the investment information valuation method of the present invention when the instructions are executed. Computer-readable media includes computer storage media. A storage medium may be any available medium that can be accessed by a computer. For example, such a computer-readable medium may be a RAM, ROM, EEPROM, CD-ROM or other optical disk storage medium, magnetic disk storage medium or other magnetic storage device, or desired program code, containing instructions or may include any other medium that can be used for storage in the form of data structures.

Such hardware, software, etc. may be implemented in the same device or in separate devices to support the various operations and functions described herein. Additionally, components, units, modules, components, etc. described as “parts” in the present invention may be implemented together or individually as separate but interoperable logic devices. Depictions of different features of modules, units, etc. are intended to emphasize different functional embodiments, and do not necessarily imply that they must be realized by separate hardware or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware or software components or integrated within common or separate hardware or software components.

Although acts are shown in the figures in a particular order, it should not be understood that these acts need to be performed in the particular order shown, or sequential order, or all shown acts need to be performed to achieve a desired result. . In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the distinction of the various components in the above-described embodiments should not be construed as requiring such a distinction in all embodiments, and the described components will generally be integrated together into a single software product or packaged into multiple software products. It should be understood that there can be

As described above, the best embodiment has been disclosed in the drawings and the specification. Although specific terms are used herein, they are used only for the purpose of describing the present invention and are not used to limit the meaning or scope of the present invention described in the claims. Therefore, it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: server 110: communication unit
120: storage unit 130: processor
200: mobile device 1000: rental housing subscription diagnosis system
2000: network

Claims (14)

In the method of providing a rental housing subscription diagnosis service through an application running on a mobile device,
displaying a questionnaire for inputting user information related to subscription including interest rental type;
receiving, from a user, an answer to the displayed questionnaire;
Based on the input answer, it is determined whether the user is eligible for subscription according to the rental conditions of the rental housing corresponding to the rental type of interest among the rental housing currently being solicited for subscription, and preset points are allocated for the rental housing eligible for subscription calculating subscription points according to the reference table;
displaying a recruitment notice in which the recruitment notice of the rental housing eligible for the subscription is listed first; and
When any one of the displayed recruitment notices is selected by the user, displaying the competition rate prediction information including the subscription score and the competition rate calculated according to the type of occupancy qualification;
The method of providing the rental housing subscription diagnosis service is,
The method further comprises;
Displaying the competition rate prediction information,
Based on the user information of the participant each collected from the participants of the interest level survey and information on the preferred complex selected by the participant in the interest level survey among a plurality of complexes in the selected recruitment notice, each complex for the selected recruitment notice The method of providing a subscription diagnosis service, characterized in that the interest is further displayed in the form of statistical information including the age, residence, and subscription score of the participant. delete According to claim 1,
The type of occupancy qualification is:
Within rental types including at least one of permanent rental housing, long-term jeonse housing, public rental housing, private rental housing, national rental housing, happy housing, redevelopment rental housing, youth housing near station areas, urban living housing, and existing housing purchase rental housing It is a detailed qualification type in which different grading standards are provided in which priority is given to the employer according to the qualifications including at least one of the elderly, the disabled, the multiple children, the elderly, people of national merit, single parents, newlyweds, first-timers, and the underprivileged. A method of providing a subscription diagnosis service characterized by. According to claim 1,
Displaying the competition rate prediction information,
Subscription diagnosis service providing method, characterized in that based on the input answer, further displaying information on the supply area that can be subscribed according to at least one of the number of household members to which the user belongs, the payment amount in the subscription account, and the monthly average income . According to claim 1,
The step of displaying the recruitment notice is,
Subscription diagnosis, characterized by further displaying information on rental housing other than the recruitment notice period, past notice history of rental housing other than the recruitment notice period, and the expected next recruitment notice period predicted according to the past notice history HOW TO PROVIDE SERVICES. According to claim 1,
Displaying the competition rate prediction information,
When the user has a pre-set move-in sequence number, based on the preliminary move-in order number, the number of waiting people for move-in in a complex selected in detail by the user in the selected recruitment notice, and the number of evictions during the past preset period based on statistics Subscription diagnosis service providing method, characterized in that further displaying the predicted occupancy time for the complex. According to claim 1,
Displaying the competition rate prediction information,
Subscription, characterized in that based on the user information and the information about the preference complex collected from the participants of the interest level survey, further displaying the virtual ranking information of the user predicted among the participants of the interest level survey How to provide diagnostic services. According to claim 1,
providing a menu for surveying and reviewing satisfaction of existing users of rental housing currently recruiting for subscription; and
The satisfaction index indicating the satisfaction surveyed by the previous resident users and the written review are displayed so that they can be read, and a reward corresponding to the number of recommendations received from other users for the read written review is provided by the existing resident user who participated in the satisfaction survey A method of providing a diagnosis service for subscription, characterized in that it further comprises; In the server operating the subscription diagnosis platform serviced by the mobile device,
a communication unit communicating with a mobile device of a user executing the subscription diagnosis platform-based application;
storage; and
Displays a questionnaire for inputting user information related to subscription including interest rental type on the mobile device, receives an answer input from the user to the displayed questionnaire through the communication unit, and stores it in the storage unit, Based on the answers, it is determined whether the user is eligible for subscription according to the rental conditions of the rental housing corresponding to the rental type of interest among the rental housing currently recruiting for subscription, and for rental housing eligible for subscription, according to the preset scoring criteria table Calculating the subscription points, displaying the recruitment notice in which the recruitment notice of the rental housing eligible for the subscription is listed preferentially, and when any one of the displayed recruitment notices is selected by the user, according to the type of occupancy qualification A processor that controls to display competition rate prediction information including the calculated subscription point and competition rate;
The processor is
Provides a menu for surveying users' interest in the recruitment announcement of a rental house currently recruiting for subscription, user information of the participant each collected from the participants of the interest survey, and the interest survey among a plurality of complexes in the selected recruitment notice Based on the information on the preferred complex selected by the participant in server. delete 10. The method of claim 9,
The processor is
Information on rental housing other than the recruitment notice period, past notice history of rental housing other than the recruitment notice period, and information about the expected next recruitment notice period predicted according to the past notice history server. 10. The method of claim 9,
The processor is
When the user has a pre-set move-in sequence number, based on the preliminary move-in order number, the number of waiting people for move-in in a complex selected in detail by the user in the selected recruitment notice, and the number of evictions during the past preset period based on statistics Server, characterized in that the control to further display the predicted occupancy time for the complex. 10. The method of claim 9,
The processor is
Based on the user information and information about the preference complex collected from the participants of the interest level survey, respectively, controlling to further display the virtual ranking information of the user predicted with the participants of the interest level survey server that does. 10. The method of claim 9,
The processor is
Provides a menu for satisfaction survey and review writing of existing tenant users of rental housing currently recruiting for subscription, and displays the satisfaction index and written review that indicate the satisfaction surveyed from the previous tenant users so that it can be read, and the written review read A server, characterized in that it controls to provide a reward corresponding to the number of recommendations received from other users with respect to the review to the existing tenants participating in the satisfaction survey.

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