KR101705870B1 - Apparatus and method for recommending residential location - Google Patents

Apparatus and method for recommending residential location Download PDF

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KR101705870B1
KR101705870B1 KR1020150108070A KR20150108070A KR101705870B1 KR 101705870 B1 KR101705870 B1 KR 101705870B1 KR 1020150108070 A KR1020150108070 A KR 1020150108070A KR 20150108070 A KR20150108070 A KR 20150108070A KR 101705870 B1 KR101705870 B1 KR 101705870B1
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residential
user
candidate
condition
real estate
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KR20170014530A (en
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김상호
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주식회사 카카오
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

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Abstract

A method for recommending a residence to a user, the method comprising: receiving a settlement recommendation request from a user terminal of the user, the settlement recommendation request including at least one of a condition related to a real estate condition, a surrounding condition, and an activity base location; Extracting at least one settlement site candidate that matches the conditions included in the settlement recommendation request, and transmitting the extracted at least one settlement site candidate to the user terminal.

Description

[0001] APPARATUS AND METHOD FOR RECOMMENDING RESIDENTIAL LOCATION [0002]

The present invention relates to content recommendation.

Since there are various online services for providing real estate information, the user can access the real estate information site and retrieve the real estate information of the whole country. For example, the user can select his / her desired area (e.g., Seoul, Gangnam-gu, Yeoksam-dong) from the real estate information site and confirm the real estate information existing in the selected district or area. The user then selects the type of property he wants (e.g., apartment, officetel, house), type of transaction (e.g., sale, charter, rent) and filters the property information according to the condition. The user selects the A apartment to check the information of the A apartment among the filtered real estate information and the basic information related to the A apartment (entrance structure, direction, waterproof / bathroom number, completion time, surrounding school, , The corresponding information can be confirmed. Also, if the user inquires about the information of the B apartment among the filtered real estate information, the user selects the B apartment again and confirms the basic information related to the B apartment. As a result of checking, if the apartment A and the apartment B are not the apartments desired by the user, the user repeatedly searches for the real estate in the other area.

As described above, the real estate information site up to now provides a list of real estate filtered by the region selected by the user, the type of real estate, and the type of transaction, but the user selects the settlement according to various conditions besides the region, However, since the real estate information sites so far can not reflect the various requirements of each user and the life pattern of the user, the user can not provide desired real estate information. As a result, the user has to search repeatedly because he can not find his desired residence.

SUMMARY OF THE INVENTION An object of the present invention is to provide an apparatus and a method for recommending a residential area suitable for a user's requirement and living pattern.

A method of recommending a residence to a user, the method comprising: receiving a settlement recommendation request from a user terminal of the user, the settlement recommendation request including at least one of a property condition, an environmental condition, Extracting at least one settlement site candidate matching the conditions included in the settlement recommendation request in the database storing the real estate information, and transmitting the extracted at least one settlement site candidate to the user terminal.

The real estate condition includes at least one of the area where the real estate is located, the type of the real estate, the area of the real estate, the type of transaction of the real estate, and the price of the real estate, , And natural environment information, the activity base location may be a specific location entered by the user, and the condition related to the activity base location may be a distance or time from the specific location.

The step of extracting the at least one settlement site candidate includes setting a score for each item of the condition included in the settlement recommendation request, assigning a score to the property satisfying the item, You can extract residential candidate.

The step of extracting the at least one settlement site candidate may include extracting the real estate located in the specific area as a residential candidate group when the condition included in the settlement recommendation request includes a specific area, It is possible to extract the residential candidate in the order matching the conditions.

The step of extracting the at least one settlement site candidate may include extracting real estate located in a neighboring area of the specific area as an additional settlement candidate group when the condition included in the settlement recommendation request includes a specific area, It is possible to extract the residential candidate in the order matching the conditions included in the residence recommendation request among the residential candidate candidates.

The step of extracting the at least one residential site candidate may include extracting a residential candidate group satisfying the condition based on the activity base location in the database when a condition related to the activity base location is included in the settlement recommendation request, Listing the residential candidates in the order of satisfying the real property condition and the environmental condition among the residential area candidates; and extracting a certain number of upper residential property candidates from the listed residential property candidates.

The step of extracting the residential candidate group may include the steps of: if the plurality of activity base locations and the condition of each of the plurality of activity base locations are included in the settlement recommendation request, satisfying conditions commonly associated with the plurality of activity base locations in the database The residential candidate group can be extracted.

The step of extracting the residential candidate group may request the user terminal to change a condition related to the activity base location when the residential candidate group commonly satisfying the conditions related to the plurality of activity base locations is extracted below the reference number .

The method includes managing the user's interest information based on a service usage history of the user, estimating at least one residence condition desired by the user based on the user's interest information when the user terminal accesses And presenting the estimated residence condition to the user terminal, wherein the residence recommendation request may include information that the estimated residence condition is accepted by the user.

The method may further include collecting life pattern information related to the user's life pattern from the service history of the user, wherein the extracting of the at least one residential site candidate comprises: The residential candidate to be recommended to the user can be extracted based on the extracted residential candidate.

The life pattern information may include at least one of facility information, traffic information, natural environment information, and activity base information of the user or the family used by the user or the user's family.

According to another embodiment of the present invention, there is provided an apparatus for recommending a residence to a user, the apparatus comprising: a user terminal for receiving a settlement recommendation request including at least one of a condition related to a real estate condition, An interface unit, and a recommendation unit for extracting at least one residential candidate matching the condition included in the residential location recommendation request in the database storing the real estate information, and transmitting the extracted at least one residential candidate to the user terminal.

Wherein the user terminal interface unit estimates at least one residence condition related to the user based on the user's interest information and presents the estimated residence condition to the user terminal when the user terminal is connected, And can be extracted from the service history of the user.

The user terminal interface unit may receive the residence recommendation request including the estimated residence condition when the estimated residence condition is accepted by the user.

The recommendation unit may set a score on each item of the conditions included in the residential place recommendation request, assign a score to the real estate satisfying the item, and extract the residential candidate based on the total point assigned to each real estate.

Wherein the recommendation section extracts a residence candidate group satisfying the condition based on the activity base location in the database when the condition related to the activity base location is included in the residence recommendation request, It is possible to extract a certain number of settlement candidates satisfying the surrounding environmental conditions.

According to the embodiment of the present invention, since a residence site that is optimal for a user's requirement and a living pattern is recommended, the user can easily select a desired residence. According to the embodiment of the present invention, even if the user does not have enough information about the real estate, the user can get a recommendation of a settlement suitable for a living pattern. As a result, according to the embodiment of the present invention, it is possible to lower the migration anxiety to a new area and increase the satisfaction and convenience of life.

1 is a schematic block diagram of a settlement recommendation system according to an embodiment of the present invention.
2 is an illustration of a user interface screen according to an embodiment of the present invention.
FIG. 3 is an exemplary diagram illustrating an activity-based location-based home location recommendation method according to an embodiment of the present invention.
Each of Figs. 4 to 6 is an example of a residence recommendation screen according to an embodiment of the present invention.
FIG. 7 is a flowchart of a settlement recommendation method according to an embodiment of the present invention.
8 is a flowchart of a method for recommending a settlement site according to an embodiment of the present invention.
9 is a flowchart of a method of recommending a settlement site according to another embodiment of the present invention.
10 is a flowchart of a method of recommending a settlement site according to another embodiment of the present invention.

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

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. Also, the terms " part, "" module," and " module ", etc. in the specification mean a unit for processing at least one function or operation and may be implemented by hardware or software or a combination of hardware and software have.

It is obvious that the present invention can be used not only for residential recommendation but also for real estate recommendation such as shopping or land. However, since the method of recommending a residence takes into consideration more conditions than a commercial or land, it is described as recommending the residence to the user, but it is not limited to the residence.

FIG. 1 is a schematic block diagram of a settlement recommendation system according to an embodiment of the present invention. FIG. 2 is an illustration of a user interface screen according to an embodiment of the present invention. FIG. 2 is a diagram illustrating an exemplary method of recommending an activity-based location-based residential area.

Referring to FIG. 1, the residential location recommendation system 10 includes a residential location recommendation apparatus 100, a plurality of real estate information providing terminals 200, and a user terminal 300 recommended for residence.

The real estate information providing terminal 200 is a terminal used by a user who desires a real estate transaction such as a real estate owner or a real estate brokerage operator. The real estate information providing terminal 200 accesses the settlement recommendation apparatus 100 and transmits a real estate registration request including the information of the real estate to be traded (simply referred to as "real estate information") to the residence recommendation apparatus 100.

The user terminal 300 is a terminal used by a user who desires to recommend housing. The user terminal 300 accesses the settlement recommendation apparatus 100 and transmits a settlement recommendation request including the preferred settlement conditions to the settlement recommendation apparatus 100. [

The real estate information providing terminal 200 and the user terminal 300 may include various communication modules including a communication module capable of connecting to the remote residence recommending apparatus 100 through a communication network and may be various forms such as a mobile terminal and a fixed terminal. The mobile terminal may include, for example, a mobile terminal, a tablet terminal, a wearable terminal, or the like. The fixed terminal may include a desktop computer, an IPTV, an outdoor installation terminal, and the like.

The real estate information providing terminal 200 and the user terminal 300 can access a web page provided by the residence recommending apparatus 100 through a browser or the like. Alternatively, the real estate information providing terminal 200 and the user terminal 300 can communicate with the residence recommending apparatus 100 by loading the application implementing the present invention and executing the application. An application is a software / program implemented in a programming language, which is combined with hardware and software of a terminal to implement the present invention.

The residence recommendation apparatus 100 stores real estate information received from a plurality of real estate information providing terminals 200 in a database. At this time, the residence recommendation apparatus 100 maps and manages real estate information on a map.

The residence recommendation apparatus 100 extracts real estate information matching the user's settlement conditions in the database. At this time, the settlement conditions include the conditions of real estate (for example, area, type, area, transaction type, price, etc.), environmental conditions surrounding real estate (for example, transportation facilities, school facilities, shopping facilities, medical facilities, Facilities, etc.), and the user's activity base conditions (for example, workplace, school, etc.).

The residence recommendation apparatus 100 recommends residential areas suitable for user requirements and living patterns based on real estate information, traffic facility information, and various location information mapped on the map. Rather than simply listing the real estate that matches the desired real estate conditions (e.g., area, type, area, transaction type, price, etc.), the residence recommendation device 100 may be adapted to various user requirements and life patterns Select real estate in the location. For example, a user goes to a company located near "Gangnam Station" with "subway", has a "first grade" child, goes to a swimming pool, I would like to recommend the "charter" "apartment" of the schedule "price". Then, the residence recommendation apparatus 100 can find a residential area in which an elementary school, a swimming pool, and a large-sized mart exist within a certain distance by using a map to which various facilities information is mapped, / You can find a residence located within an hour. For reference, the residence recommendation apparatus 100 can recommend a residence by interworking with a map service and a device for providing a route search service, but here, the residence recommendation apparatus 100 performs both map management and route search .

In addition, the residence recommendation apparatus 100 can recommend the settlement site by weighting the settlement conditions that the user considers important. The conditions to consider when choosing a residence location for each user may be different. Therefore, even if the real estate conditions requested by users are the same, the residence recommendation apparatus 100 can recommend other residential areas according to the ranking of the settlement conditions for each user.

The residence recommendation apparatus 100 is described as recommending a residence from the real estate information registered in the real estate information providing terminal 200, but the recommended residence is not limited thereto. For example, the residence recommendation apparatus 100 can recommend an area suitable for the user's requirements and life pattern (for example, around the OO building, the OO building, the OO subway station, etc.) as a residence. The residence recommendation apparatus 100 can recommend concrete real estate out of the recommended real estate information.

Thus, the residence recommendation apparatus 100 recommends a residential area suitable for a user's living pattern, rather than simply recommending a real estate suitable for a user's budget.

Next, the residential place recommendation apparatus 100 will be described in detail.

The residence recommendation apparatus 100 includes a real estate information providing terminal interface unit 110, a database 130, a user terminal interface unit 150, and a recommendation unit 170.

The real estate information providing terminal interface unit 110 receives real estate registration requests including real estate information from a plurality of real estate information providing terminals 200. The real estate information providing terminal interface unit 110 can register real estate information after checking the received real estate information for errors (e.g., address, apartment name, etc.). The real estate information providing terminal interface unit 110 maps the real estate information to the map on the basis of the address of the registered real estate information. The real estate information mapped to the map is stored in the database 130.

The real estate information includes information such as the address and type of the real estate (eg apartment, officetel, house, one room, shop, land, factory, etc.), area, transaction type (eg, (E.g., a floor plan, a doorway structure, a direction, a heating configuration, a waterproof / bathroom number, etc.), and only relevant information (e.g., parking lot, management room, etc.). If the property information providing terminal interface unit 110 inputs the minimum information (for example, address) that can identify the real estate, the real estate information providing terminal interface unit 110 transmits the information / Various information related to the identification information of the real estate can be extracted in conjunction with the external server (not shown). The real estate information providing terminal interface unit 110 can fill out empty items of the real estate information template using the extracted information. For example, the real estate information providing terminal interface unit 110 receives "OO city OO agreement A apartment building 101 house 101" as a transaction target. The real estate information providing terminal interface unit 110 receives real estate information related to the transaction object from the database in which the aggregate building information is stored, the real estate market providing server (not shown), the real estate registration / land registry providing server (not shown) Apartment, area, structure information, complex information, price, etc.).

The database 130 stores various kinds of information used when the recommendation unit 170 recommends residential areas. Various kinds of information have location information and are mapped on a map based on the location information.

The database 130 manages the real estate information received from the real estate information providing terminal interface unit 110. Each property information has an address and is mapped to a map based on the address.

The database 130 manages various facilities and natural environment information located on a map. The various facilities and natural environment information located on the map are used not as real estate to be traded but as surrounding information about real estate.

The surrounding environment information can be classified into various categories such as facility information, traffic facility information, and natural environment information that a user can consider when selecting a residence. For example, the surrounding environment information includes information such as school facilities (elementary school, junior high school, high school, university), infant facilities (daycare center, kindergarten, etc.), government offices (city hall, police station, fire station, (Coffee shops, convenience stores, bakeries, restaurants, theaters, etc.), sports facilities (swimming pools, athletic fields, etc.), and the like . Traffic facility information may include a subway station, a bus stop, a terminal, a train station, an airport, and the like. Natural environmental information can include mountains, rivers / streams, parks, rice fields, and so on. Meanwhile, the surrounding environment information may include avoiding environment information that can be excluded by the user. For example, the avoidance environment information may include a nightlife, a crime area, and the like.

The database 130 may manage the distance information between the two points and the navigation information needed to calculate the travel time. The route information may include road information, bus route information, and subway route information.

The user terminal interface unit 150 receives a settlement recommendation request including a preferred settlement condition from the user terminal 300. [ The user terminal interface unit 150 transmits the user's settlement condition to the recommendation unit 170. [

The user terminal interface unit 150 presents a plurality of conditions that can be selected to the user terminal 300 through the interface screen and receives at least some conditions of the plurality of conditions presented from the user terminal 300. Also, the user terminal interface unit 150 can receive the priority according to the condition.

Residential conditions can be a combination of preferred real estate conditions (area, type, area, transaction type, price, etc.), preferred ambient conditions, preferred means of transportation, and conditions related to the location of the activity base. Here, the activity base location may be an important location that is considered by the user when selecting a residence, as a location where the user or the user's family is active in addition to the residence. For example, activity-based information may be a user or family workplace or school, or a specific location that a user frequently visits (e.g., a friend's house, a parent's house, a library, etc.). For example, a condition related to an activity base location can be entered, such as a "30 minute" distance from an activity base location (location A) to "car".

On the other hand, instead of receiving all the settlement conditions from the user, the user terminal interface unit 150 extracts the user's interest information based on the service usage history of the user, and estimates the user's preferred settlement conditions based on the interest information can do. It is assumed that the user's service use history may be various, such as a query word, click information, a visiting site, etc., and interest information per user extracted from the service use history is stored in advance. For example, if the user frequently clicks on the premises link as a result of analyzing the selected elements (clicked) by the user, the user's interest information is stored as "charter ". As a result of analyzing the query query inputted by the user, if the user frequently searches for the holiday date of the A large-sized mart, the user's interest information is stored as "A large mart or large mart. As a result of analyzing the site visited by the user, if the user frequently visits the site providing the contents for the ages 3 to 7, the user can presume that there is a preschool child. Then, the user terminal interface unit 150 can estimate "charter", "large-sized mart", and "elementary school" as the user's preferred residence condition.

The user terminal interface unit 150 presents various settlement conditions that the user can select through the interface screen. If there is an estimated value for a certain settlement condition, the user terminal interface unit 150 presents the estimated value to the interface screen. When the user accepts the estimated value (Yes), the estimated value is reflected in the corresponding settlement condition.

Referring to FIG. 2, when "charter" is estimated based on the user's preferred residence condition, the interface screen displayed on the user terminal 300 is displayed as " can do. If the user selects "Yes ", the transaction type preferred by the user is stored as" Charter ", and if the user selects "No ", the user is requested to select a transaction type.

Likewise, when the "large mart" and the "elementary school" are estimated as the preferred residential conditions, the interface screen displayed on the user terminal 300 is displayed at the position where the surrounding environment condition is selected. , "Do you want to be around elementary school?" Thus, the user can be offered a condition suitable for his / her life pattern in advance.

In the meantime, although FIG. 2 shows a case where the estimated residence condition is presented to the user and accepted, the residence recommendation apparatus 100 suggests the estimated residence condition to the user and omits the acceptance procedure, To find a suitable residence for the user.

The recommendation unit 170 receives the user's housing condition from the user terminal interface unit 150. The recommendation unit 170 recommends at least one residential candidate by matching the region (or complex) where the real estate / real estate registered as the transaction target is located and the user's preferred residential condition.

The recommendation unit 170 can calculate the score of the area where each real estate / real estate is located according to the priority of each item of the residence condition. The priority order may be determined by the user or set by the recommendation unit 170. [

The user's preferred residence conditions may include real estate conditions. If the preferred area is specified, the recommendation unit 170 may extract the real estate in the adjacent area of the specified area as a weak residential candidate.

For example, if a user prefers a "300 million lease heating apartment in Mapo-gu, Seoul," the recommendation unit 170 extracts all the apartment complexes in Mapo-gu, Seoul as residential candidates and assigns a score (for example, 100 points). Then, the recommendation unit 170 extracts the apartment complexes of Yongsan-gu and Seodaemun-gu adjacent to Mapo-gu in Seoul as weak residential candidate candidates and assigns a score (for example, 80 points for municipal district). The recommendation unit 170 extracts the complexes having an average value of less than 300 million in the recent N months among all the apartment complexes in the housing candidate group, and assigns a score (for example, 100 points). At this time, the recommendation unit 170 may also give a score (for example, a market price = 100 - (city tax / 300 million) * 50) points to a complex having a total price of more than 300 million. The recommendation unit 170 may award a score in the case of cogeneration heating among all the apartment complexes in the residential candidate group. The recommendation unit 170 may award a score or subtract a score according to the remaining settlement conditions. The recommendation unit 170 may calculate the total points of the residential candidate groups and recommend the top M real estate to the user by sorting in ascending order.

The user's preferred residence conditions may include ambient conditions. Depending on the importance of the environmental conditions, the method of calculating the score may vary. For example, a user may have a higher precedence over an environmental condition than another, and another user may have a lower environmental condition than a real estate condition. If the surrounding environment condition is a user having a higher priority than the real estate condition, the recommendation unit 170 can extract only residential areas satisfying the surrounding environmental condition as candidates. If the real estate condition is a user having a higher priority than the surrounding environment condition, the recommendation unit 170 assigns the surrounding environment score to the candidate group satisfying the surrounding environmental condition, .

The recommendation unit 170 may store a residential candidate group satisfying the surrounding environmental condition in advance. For example, the recommendation unit 170 can search for all residential areas within 10 minutes on foot from all the elementary schools, and store the resident residential area as "residential area within 10 minutes from the elementary school. &Quot; More specifically, the recommendation unit 170 can search for a settlement area accessible to the elementary school without crossing a pedestrian crosswalk through a route between the elementary school and the residence. Likewise, the recommendation unit 170 can search all the subway stations within 5 minutes on foot and store the searched settlements as "station zone residence ". In addition, the recommendation unit 170 can search for a time / distance to a location such as a large shopping mall, a department store, a park, and the like in advance by searching for a walking / car / public transportation route.

The user's preferred residence condition may include an activity base location. Since the activity base location is different for each user, the recommendation unit 170 calculates the settlement candidate group satisfying the condition related to the activity base location in real time. For example, if the condition related to the activity base location is "a residence that is less than 30 minutes from the workplace by car ", the recommendation unit 170 receives the user's workplace location, Of the residence. The recommendation unit 170 may use a pre-configured spatial index or the like for efficient searching. The recommendation unit 170 can calculate a range that can be reached within 30 minutes by car from the user's work in real time in a density form on the map.

When the user inputs a plurality of activity base locations, the recommendation unit 170 calculates a settlement base candidate group based on each activity base location. The recommendation unit 170 may provide a residence candidate group related to a plurality of activity base locations, or may preferentially recommend overlapping residential candidate groups.

The recommendation unit 170 may display the residential candidate group related to the activity base location on the map. Referring to FIG. 3 (a), the recommendation unit 170 includes an activity base location p1 selected by the user, a residential candidate area satisfying a condition related to the activity base location (a distance of 30 minutes by car), and a residential candidate area And the location of the real estate belonging to the area can be displayed on the map. Referring to FIG. 3 (b), when the user inputs two activity base locations p1 and p2, the recommendation unit 170 can overlap and display the residence candidate areas related to the two activity base locations. If there is an overlapped area, the recommending unit 170 can extract the overlapped area (or the real estate located in the overlapped area) as a residential candidate group suitable for the user's living pattern.

In this manner, the recommendation unit 170 may be configured to provide at least one real estate (for example, a real estate) satisfying all of the conditions of the residence if there is a condition related to the user's preferred real estate conditions, preferred surrounding conditions, preferred transportation means, Or region) may be selected as a recommendation target. However, it may not be possible to search for real estate or real estate that satisfies all the user's residence conditions. Therefore, according to another embodiment, the recommendation unit 170 calculates a total score of each residential candidate by assigning a score according to whether each residential candidate satisfies the individual item. The recommendation unit 170 judges that the higher the total score, the more the residential area meets the condition of the residence of the user. The score assigned to each item can be predetermined or determined according to the user's priority.

According to another embodiment, the recommendation unit 170 may use some conditions for filtering and some conditions for weighting according to importance. For example, if a user desires to be satisfied with a real estate condition (for example, price, area), he or she extracts a candidate residential district satisfying the real estate condition, and selects the residential candidate group from the extracted residential candidate group The score can be given according to the satisfaction of the relevant conditions. If a user desires to satisfy the condition related to the activity base location, the user extracts the candidate site that satisfies the condition related to the activity base location, Can be given.

The recommendation unit 170 can output the list of real estate corresponding to the recommendation target. Alternatively, the recommendation unit 170 may output on the map the real estate location corresponding to the recommendation target. This allows the user to visually identify the location of his or her preferred region or real estate.

The recommendation unit 170 may determine at least one real estate (or region) that best suits all settlement conditions as a recommendation target. Alternatively, the recommendation unit 170 may determine a recommendation object for each category or item of the residence condition, and when the user selects at least one category / item, the recommendation unit 170 may output a recommendation object that satisfies the selected category / item in common . To this end, the recommendation unit 170 determines a residential candidate group (real estate / area) satisfying the corresponding condition for each category / item, and generates a layer including a residential candidate group for each category / item. Then, the recommendation unit 170 can output the layer-by-category / item-by-category layer over the map, and find the residential candidate group commonly extracted from the overlapped layers. For example, the items of the real estate condition may be the area where the real estate is located, the type of the real estate, the area of the real estate, the type of the real estate transaction, and the price of the real estate. The category may be composed of plural items, and the items included in each category may be variously set

When dividing the residential area candidates by category / item into layers, the user can easily change the residence conditions. The user desires a plurality of conditions when first requesting a settlement recommendation, but there may be no or few recommendation results suitable for the condition entered. Then, the user can see recommendation results for each settlement condition and delete some settlement conditions.

Each of Figs. 4 to 6 is an example of a residence recommendation screen according to an embodiment of the present invention.

Referring to FIGS. 4 to 6, the recommendation unit 170 displays a residential area candidate group matching the user's residence condition on the map. At this time, the residence candidate may be a district (for example, Yeoksam-dong or OO apartment complex) or a specific real estate (Yeoksam-dong, Yeoksam-dong 101 apartment building). Residency candidates can be exposed in layers on the map.

Referring to FIG. 4, for example, when the residence condition is "an area where a lot of coffee shops are located around the station area ", the recommendation unit 170 outputs an area satisfying the residence condition on a map in a density form . It can be displayed in different colors depending on the density.

Referring to FIG. 5, on the map satisfying the residence condition of FIG. 4, the real estate information matching the user's other residence conditions (for example, the real estate condition) may be added.

Referring to FIG. 6, the recommendation unit 170 may display the density distribution on the map of FIG. 5 in contour lines.

In this way, since the recommendation result is displayed on the map, the user can intuitively access the recommended area / real estate.

FIG. 7 is a flowchart of a settlement recommendation method according to an embodiment of the present invention.

Referring to FIG. 7, the settlement recommendation apparatus 100 receives a settlement recommendation request from the user terminal 300, including at least one of conditions related to a real estate condition, a surrounding condition, and an activity base location (S110). Each of the conditions related to the real estate condition, the surrounding environmental condition and the activity base location can be divided into at least one detailed condition. For example, the detailed conditions of the real estate conditions may include local conditions, kind conditions, area conditions, transaction type conditions, price conditions, and the like. User-selectable environmental conditions can be set in advance or freely set by the user such as "Elementary school", "5 minutes on foot from elementary school" or "5 minutes on foot from elementary school". The conditions related to the activity base location may be distance / time from the activity base location, and the activity base location may be the user or family workplace or school, or a specific location that the user frequently calls. A plurality of activity base locations can be set. Requests for housing recommendations may include conditional priorities.

The residence recommendation apparatus 100 extracts the first residential candidate group satisfying the real estate condition in the database in which the real estate information is stored (S120). The residential candidate may be a collection of residential candidates, and the residential candidate may be a district, an apartment complex, or a particular real estate, depending on the scope of the recommendation.

The residence recommendation apparatus 100 extracts a second residential candidate group satisfying the surrounding environmental condition from the database storing the perimeter environmental information of each real estate (S130). Since the environment surrounding the real estate does not vary from user to user, the residence recommendation apparatus 100 can preliminarily construct the environment information for each real estate.

The residence recommendation apparatus 100 extracts a third settlement candidate group satisfying the condition related to the activity base location through a route search from the activity base location (S140).

The residence recommendation apparatus 100 arranges the residential candidate in the order of satisfying the user's residence condition among the first residence candidate candidate group, the second residential candidate candidate group, and the third residential candidate candidate group S150. Here, it is described that the first residence candidate candidate group, the second residence candidate candidate group, and the third residence candidate candidate group are sequentially calculated. However, the order of steps S120, S130, and S140 may be changed according to the priority order. Although it has been described herein that the first settlement candidate group, the second settlement candidate group, and the third settlement candidate group are individually calculated, it is also possible to first obtain the settlement candidate group (for example, the first settlement candidate group) The second residential candidate group or the second residential candidate group satisfying the remaining conditions can be extracted in the candidate group.

The method of extracting the residential candidate from among the first settlement candidate group, the second settlement candidate group, and the third settlement candidate group may be variously set.

For example, the first method extracts the residential candidate included in both the first residential candidate group, the second residential candidate group, and the third residential candidate group in priority order, and extracts the residential candidate included in at least two candidate groups as the next ranking can do.

The second method sets a score for each category / item and assigns scores by judging whether each residential candidate included in the first residential candidate group, the second residential candidate group, and the third residential candidate group satisfies each category / item. Then list the candidate residences in descending order of total score.

The third method is to select a residential candidate (for example, a third residential candidate group) having a higher priority among the first residential candidate group, the second residential candidate group, and the third residential candidate group, Or environmental conditions), it is possible to give scores to each residential candidate belonging to the third residential candidate group, and to list residential candidates in descending order of the total score.

The residence recommendation apparatus 100 selects at least one of the sorted settlement candidates as a recommendation target and recommends the recommendation to the user terminal 300 (S160). The residence recommendation apparatus 100 can select the top M candidates from among the sorted residential candidate candidates.

8 is a flowchart of a method for recommending a settlement site according to an embodiment of the present invention.

Referring to FIG. 8, the residence recommendation apparatus 100 manages interest information of a user based on a service usage history of a user (S210). The user's service use history may be various, such as a query word, click information, a visiting site, and the like.

When the user accesses the user terminal 300 through the user terminal 300, the residence recommendation apparatus 100 estimates at least one settlement condition that the user searches for from the user's interest information (S220).

The residence recommendation apparatus 100 queries the user whether the estimated residential condition is met (S230).

When the user accepts the estimated residence condition, the residence recommendation apparatus 100 stores the estimated residence condition as a user's residence condition (S240).

Since the residence recommendation apparatus 100 proposes the residence conditions desired by the user on the basis of the user's interest information, the user can easily request the residence recommendation without inputting all of the real estate conditions and the surrounding environment conditions have.

9 is a flowchart of a method of recommending a settlement site according to another embodiment of the present invention.

Referring to FIG. 9, the residence recommendation apparatus 100 receives a settlement recommendation request from the user terminal 300 including a condition related to at least one activity base location (S310).

The residence recommendation apparatus 100 extracts a residential candidate group satisfying the condition based on each activity base location (S320). The residence recommendation apparatus 100 extracts a residential candidate group satisfying the condition by performing a route search according to conditions from each activity base location. If there are multiple activity base locations, it is possible to extract the intersection of candidate towns by activity base location. If the residential candidate groups according to the activity base location do not overlap, the residence location recommendation apparatus 100 may request the user to change the conditions related to the activity base location. The user can, for example, change the condition from the position A to the condition of 1 hour by automobile to extend the range of 30 minutes by car to the condition of 1 hour by car.

The residence recommendation apparatus 100 extracts residential candidate candidates from the residential candidate candidates in order of satisfying the real estate condition and the surrounding environment condition (S330). The residence recommendation apparatus 100 searches for a residential candidate that satisfies the real-estate condition and the surrounding environmental condition requested by the user out of the residential candidate candidates extracted first.

The residence recommendation apparatus 100 recommends at least one extracted residential candidate to the user terminal 300 (S340).

10 is a flowchart of a method of recommending a settlement site according to another embodiment of the present invention.

Referring to FIG. 10, the residence recommendation apparatus 100 manages a map in which information of the transaction target real estate and the surrounding environment information of the transaction target real estate are mapped (S410).

The residence recommendation apparatus 100 collects life pattern information related to the user's life pattern (S420). The life pattern may include at least one of facility information, traffic information, natural environment information, and user / family activity base information used by the user or the user's family. The life pattern information can be input by the user or can be estimated from the service usage history of the user.

The residence recommendation apparatus 100 extracts a residential candidate to be recommended to the user from the transaction target real estate based on the living pattern information (S430). When the activity pattern information is included in the life pattern information, the residence recommendation apparatus 100 can extract a transaction target real estate, which is located within a certain range from the activity base, among the transaction target realities mapped on the map, as a residential candidate. If there is a desired real estate condition, the residence recommendation apparatus 100 may recommend the transaction target real estate matching the real estate condition and the living pattern information to the user.

As described above, according to the embodiment of the present invention, a residential area best suited to a user's requirement and a living pattern is recommended, so that the user can easily select the residential area desired by himself / herself. According to the embodiment of the present invention, even if the user does not have enough information about the real estate, the user can get a recommendation of a settlement suitable for a living pattern. As a result, according to the embodiment of the present invention, it is possible to lower the migration anxiety to a new area and increase the satisfaction and convenience of life.

The embodiments of the present invention described above are not implemented only by the apparatus and method, but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

Claims (16)

A method for a device to recommend a user to a residence,
Receiving a settlement recommendation request from a user terminal of the user, the settlement recommendation request including a plurality of activity base locations, a distance condition associated with each of the plurality of activity base locations, and an additional condition;
Extracting at least one settlement site candidate matching the conditions included in the settlement recommendation request in a database storing real estate information, and
Transmitting the extracted at least one residential site candidate to the user terminal
/ RTI >
Wherein the activity base location is a specific location entered by a user and the distance condition is a travel distance or travel time from the specific location to a residential candidate,
Wherein the additional condition includes at least one of a real estate condition and an ambient condition,
The step of extracting the residential candidate
Extracting a residential candidate area that commonly satisfies a distance condition related to the plurality of activity base locations in the database and extracting at least one residential candidate matching the additional condition in the residential candidate area.
The method of claim 1,
The real estate condition includes at least one of an area where a real estate is located, a type of real estate, an area of the real estate, a transaction type of the real estate, and a price of the real estate,
Wherein the surrounding environment condition includes at least one of facility information, traffic facility information, and natural environment information located in the vicinity of the real estate.
The method of claim 1,
The step of extracting the at least one residential site candidate
Setting a score for each item of the conditions included in the residential place recommendation request, assigning a score to the real estate satisfying the item, and extracting the residential candidate based on the total points assigned to each property.
The method of claim 1,
The step of extracting the at least one residential site candidate
Extracting real estate located in the specific area among the residential area candidate areas as a residential area candidate group when the additional condition includes a specific area in which the real estate is located and selecting the residential area candidate in the order of matching the conditions included in the residential area recommendation request A method of recommending a settlement to extract residential candidate.
5. The method of claim 4,
The step of extracting the at least one residential site candidate
Extracting the real estate located in the neighborhood of the specific area as an additional residential candidate group and extracting the residential real estate candidates from the residential district candidate group and the additional residential candidate group in the order matching the conditions included in the residential district recommendation request.
The method of claim 1,
The step of extracting the at least one residential site candidate
Extracting a residential candidate group satisfying the additional condition from the residential candidate areas based on the database,
Listing the residential candidates in the order of satisfying the additional condition among the residential candidate groups; and
A step of extracting a certain number of upper residential candidates from the listed residential candidate
. ≪ / RTI >
delete The method of claim 6,
The step of extracting the residential candidate group
And requesting the user terminal to change a condition related to the activity base location if the residence candidate candidate group commonly satisfying the conditions related to the plurality of activity base locations is extracted below the reference number.
The method of claim 1,
Managing the user's interest information based on the service usage history of the user,
Estimating at least one residential condition desired by the user on the basis of the user's interest information when the user terminal is accessed;
And presenting the estimated residence condition to the user terminal
Further comprising:
The settlement recommendation request
Wherein the estimated residence condition includes information accepted by the user.
The method of claim 1,
Collecting life pattern information related to the user ' s life pattern from the service use history of the user
Further comprising:
The step of extracting the at least one residential site candidate
And extracting a residential candidate to be recommended to the user based on the residential location recommendation request and the living pattern information.
11. The method of claim 10,
The life pattern information
And at least one of facility information, traffic information, natural environment information, and activity base information of the user or the family used by the user or the family of the user.
As a device for recommending a residence to a user,
A user terminal interface unit receiving a settlement recommendation request including a plurality of activity base locations, a distance condition related to each of the plurality of activity base locations, and an additional condition from the user terminal of the user,
Extracting at least one residential candidate matching the condition included in the residential location recommendation request from the database storing the real estate information and transmitting the extracted at least one residential candidate to the user terminal,
/ RTI >
Wherein the activity base location is a specific location entered by a user and the distance condition is a travel distance or travel time from the specific location to a residential candidate,
Wherein the additional condition includes at least one of a real estate condition and an ambient condition,
The recommendation section
Extracting a residential candidate area that commonly satisfies a distance condition related to the plurality of activity base locations in the database and extracting at least one residential candidate matching the additional condition in the residential candidate area.
The method of claim 12,
The user terminal interface unit
Estimating at least one residence condition related to the user based on the user's interest information and presenting the estimated residence condition to the user terminal when the user terminal is connected,
Wherein the interest information is extracted from the service usage history of the user.
The method of claim 13,
The user terminal interface unit
And receives the settlement recommendation request including the estimated settlement condition when the estimated settlement condition is accepted by the user.
The method of claim 12,
The recommendation section
A settlement recommendation device for setting a score for each item of the condition included in the settlement recommendation request, assigning a score to the property satisfying the item, and extracting the settlement candidate based on the total point assigned to each property.
The method of claim 12,
The recommendation section
Extracting a residential candidate group satisfying the additional condition from the residential candidate areas based on the database and extracting a predetermined number of residential candidate satisfying the additional condition from the residential candidate group.
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