KR20220120829A - System for providing location recommendation service using ket analysis of trade area - Google Patents

Abstract

Provided is a system for providing a location recommendation service using commercial area analysis, which comprises: a user terminal which agrees to provide a location information service, selects at least one category among a plurality of categories, selects one of at least one shopping mall exposed based on GPS, overlays scores and distances by at least one category on a map based on one shopping mall, and outputs a total score by summing the scores by at least one category; and a recommendation service providing server, which includes a storage unit which converts the at least one category and subcategories of the at least one category into a database, a score calculation unit for storing scores and grades for each ranking, when the ranking of the at least one category among the plurality of categories is set, a property management unit for collecting at least one commercial property data, mapping and storing at least one real estate agent terminal having a location and at least one commercial property data, and a transmission unit for extracting a score for at least one category based on the selected shopping mall and transmitting the extracted score to the user terminal, when the user terminal selects the at least one category and the shopping mall. The present invention can induce faster and more rational decision-making.

Description

Location recommendation service providing system using commercial area analysis {SYSTEM FOR PROVIDING LOCATION RECOMMENDATION SERVICE USING KET ANALYSIS OF TRADE AREA}

The present invention relates to a location recommendation service providing system using commercial area analysis, and provides a one-stop platform that can analyze a commercial area, connect a certified real estate agent, and broker facilities, facilities, and manpower for start-up.

Commercial zone refers to the range of power in which supply and demand are smoothly regulated in the distribution process of a product, and the geographic and spatial range within which a store or shopping mall can attract customers who are willing to purchase or consume a specific product or service. It is also called a market area or hinterland. In other words, it can be defined as an area where a store acquires a transaction for a certain period of time, and a geographic area that contains potential customers with a probability of selling the goods or services handled by a certain company is 0 or greater. Therefore, it can be defined as a specific spatial and geographical range in which the sale and consumption of goods or services of a certain store or shopping mall is made or where consumers with the will to purchase exist, and the size and quality of such a commercial area is related to the influence of the commercial area this is high Commercial zones are economical in terms of cost and handling scale when a specific marketing unit or group sells or delivers goods or services from the seller's point of view, depending on the point of view, and the scale is determined by certain boundaries, and is appropriate from the buyer's point of view. Goods and services can be classified by defining them as the range of regions that can be reasonably expected to be found.

At this time, a configuration that analyzes the commercial area based on the location and distance and rents or brokers the necessary facilities for the store is disclosed, respectively. Publication) and Korean Patent Application Laid-Open No. 2000-0036988 (published on July 05, 2000), a method of calculating an overcrowding index using the distance between stores and analyzing the other business area to provide useful information for starting a business, and In order to provide a start-up support system using this, more accurate results can be expected by measuring the overcrowding index of the industry according to the distance between other stores that already exist in the specific area where the store is to be opened and the attribute value assigned to each store. A configuration that can provide useful information to prospective founders by providing a method for calculating the overcrowding index that can be used for start-up and recommending information for start-ups using the method In connection with the facility, a configuration that can receive mediation or mediation of professional and technical personnel to install it as well as facilities is disclosed.

However, among the above configurations, the former is a configuration that simply measures only the overcrowding index, rather than classifying and analyzing categories such as facilities or institutions in the region that users consider important, and even in the latter case, facilities for start-up and installation One-stop service is not possible because it only brokers manpower and is not linked to real estate rental or sale. Therefore, by receiving the categories desired by the user in order and calculating the scores for each location according to each category, research and development of a platform that can provide integrated services from the finally selected location to the real estate agent and facility personnel for the operation of the shopping mall development is required.

An embodiment of the present invention receives a user's location or a set location, selects at least one category from among a plurality of categories, calculates a score for at least one shopping mall on a location for each category, and calculates scores for all selected categories By showing the total, it is possible to induce faster and more rational decision-making by totaling the scores according to the factors that the user considers important in each shopping mall. In this case, it is possible to provide a method of providing a location recommendation service using commercial area analysis, which can provide a one-stop service by brokering necessary facilities or facilities when operating a shopping mall. However, the technical task to be achieved by the present embodiment is not limited to the above-described technical task, and other technical tasks may exist.

As a technical means for achieving the above-described technical problem, an embodiment of the present invention agrees to the provision of location information service, selects at least one category from among a plurality of categories, and at least one shopping mall exposed based on GPS A user terminal that selects any one shopping mall, overlays at least one category score and distance on a map based on any one shopping street, and outputs a total score by adding up at least one category score and a storage unit for databaseizing at least one category and a subcategory of at least one category, a score conversion unit for storing scores and grades for each ranking when a ranking of at least one category among a plurality of categories is set, at least one When selecting at least one category and a shopping mall from a property management unit that collects commercial property data and maps and stores the location and at least one certified real estate agent terminal having at least one commercial property data, at least one based on the selected shopping mall and a recommendation service providing server including a transmitter for extracting scores for a category of and transmitting them to a user terminal.

According to any one of the above-described problem solving means of the present invention, a user's location or a set location is input, at least one category is selected among a plurality of categories, and a score of at least one shopping mall is calculated on a location for each category, By showing the total score of all selected categories, it is possible to induce faster and more rational decision-making by totaling the scores according to the factors that the user considers important in each shopping mall. It can provide one-stop service by intermediarying necessary facilities or equipment to operate a shopping mall if the contract is concluded.

1 is a view for explaining a system for providing a location recommendation service using a commercial area analysis according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a recommendation service providing server included in the system of FIG. 1 .
3 and 4 are diagrams for explaining an embodiment in which a location recommendation service using a commercial area analysis according to an embodiment of the present invention is implemented.
5 is an operation flowchart illustrating a method for providing a location recommendation service using a commercial area analysis according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS 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. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . Also, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated, and one or more other features However, it is to be understood that the existence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded in advance.

The terms "about," "substantially," and the like, to the extent used throughout the specification are used in or close to the numerical values when manufacturing and material tolerances inherent in the stated meaning are presented, and are intended to enhance the understanding of the present invention. To help, precise or absolute figures are used to prevent unfair use by unscrupulous infringers of the stated disclosure. As used throughout the specification of the present invention, the term "step of (to)" or "step of" does not mean "step for".

In this specification, a "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be implemented using two or more hardware, and two or more units may be implemented by one hardware. Meanwhile, '~ unit' is not limited to software or hardware, and '~ unit' may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors. Thus, as an example, '~' denotes components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. The functions provided in the components and '~ units' may be combined into a smaller number of components and '~ units' or further separated into additional components and '~ units'. In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

In this specification, some of the operations or functions described as being performed by the terminal, apparatus, or device may be performed instead of in a server connected to the terminal, apparatus, or device. Similarly, some of the operations or functions described as being performed by the server may also be performed in a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal means mapping or matching the terminal's unique number or personal identification information, which is the identification data of the terminal. can be interpreted as

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

1 is a view for explaining a system for providing a location recommendation service using a commercial area analysis according to an embodiment of the present invention. Referring to FIG. 1 , the location recommendation service providing system 1 using commercial area analysis may include at least one user terminal 100 , a recommendation service providing server 300 , and at least one certified real estate agent terminal 400 . . However, since the location recommendation service providing system 1 using the commercial area analysis of FIG. 1 is only an embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1 .

At this time, each component of FIG. 1 is generally connected through a network (Network, 200). For example, as shown in FIG. 1 , at least one user terminal 100 may be connected to the recommendation service providing server 300 through the network 200 . In addition, the recommendation service providing server 300 may be connected to at least one user terminal 100 and at least one certified real estate agent terminal 400 through the network 200 . In addition, the at least one real estate agent terminal 400 may be connected to the recommendation service providing server 300 through the network 200 .

Here, the network refers to a connection structure in which information exchange is possible between each node, such as a plurality of terminals and servers, and an example of such a network includes a local area network (LAN), a wide area network (WAN: Wide Area Network), the Internet (WWW: World Wide Web), wired and wireless data communication networks, telephone networks, wired and wireless television networks, and the like. Examples of wireless data communication networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), 5th Generation Partnership Project (5GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi (Wi-Fi) , Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC ( Near-Field Communication) networks, satellite broadcast networks, analog broadcast networks, Digital Multimedia Broadcasting (DMB) networks, and the like are included, but are not limited thereto.

In the following, the term at least one is defined as a term including the singular and the plural, and even if at least one term does not exist, each component may exist in the singular or plural, and may mean the singular or plural. it will be self-evident In addition, that each component is provided in singular or plural may be changed according to embodiments.

The at least one user terminal 100 may be a terminal of a user who wants to analyze a commercial area and a location using a location recommendation service-related web page, an app page, a program, or an application using a commercial area analysis. At this time, after selecting at least one category, the user terminal 100 transmits the location to the recommendation service providing server 300 using a triangulation method using GPS outdoors and WiFi or Access Point (AP) indoors and transmits the location. It may be a terminal that outputs at least one shopping mall on a map output based on the map. In addition, the user terminal 100 may be a terminal that outputs the distance and score from the selected location to another shopping mall for each category, and also calculates and outputs the total. In addition, the user terminal 100 may be connected to at least one real estate agent terminal 400 holding the corresponding property when buying or selling or renting at the selected location, and when the contract is completed, a facility or facility is also provided. It may be a terminal capable of receiving mediation from the recommendation service providing server 300 of

Here, the at least one user terminal 100 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop. In this case, the at least one user terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one user terminal 100, for example, as a wireless communication device that guarantees portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) terminal, a smartphone, a smart pad, a tablet PC, etc. may include all kinds of handheld-based wireless communication devices.

The recommendation service providing server 300 may be a server that provides a location recommendation service web page, an app page, a program, or an application using commercial area analysis. In addition, the recommendation service providing server 300 may be a server that receives at least one registered real estate agent terminal 400 to build and update a real estate agent and a pool for sale. Also, the recommendation service providing server 300 may be a server that creates at least one category and maps and stores stores, hospitals, institutions, and the like, for at least one category. And, the category may be a server that stores the grade and score according to the selected priority. In addition, the recommendation service providing server 300 may be a server that outputs a map based on the location of the user terminal 100 or the location selected by the user terminal 100 after a desired category is selected from the user terminal 100 . And, the recommendation service providing server 300 outputs at least one shopping mall for sale in the selected location to the user terminal 100, and how many points are the scores for each category based on the shopping mall selected in the user terminal 100, It may be a server that overlays on a map how many meters or kilometers the distance from other shopping malls existing for each category is.

Here, the recommendation service providing server 300 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop.

The at least one certified real estate agent terminal 400, using a location recommendation service-related web page, app page, program or application using commercial area analysis, may be a terminal that registers data for sale, a certified real estate agent license, the location of a certified real estate agent office, and the like.

Here, the at least one real estate agent terminal 400 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, navigation, a laptop equipped with a web browser, a desktop, and a laptop. In this case, the at least one real estate agent terminal 400 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one real estate agent terminal 400, for example, as a wireless communication device that guarantees portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) terminal, a smartphone, a smart pad, a tablet PC, etc. may include all kinds of handheld-based wireless communication devices.

2 is a block diagram for explaining a recommendation service providing server included in the system of FIG. 1, and FIGS. 3 and 4 are an embodiment in which a location recommendation service using a commercial area analysis according to an embodiment of the present invention is implemented. It is a drawing for explaining.

Referring to FIG. 2 , the recommendation service providing server 300 includes a storage unit 310 , a score conversion unit 320 , a property management unit 330 , a transmission unit 340 , an intermediary unit 350 , and a recommendation unit 360 . ), a discount unit 370 and a context recognition unit 380 may be included.

Location using commercial area analysis with at least one user terminal 100 and at least one certified real estate agent terminal 400 in which the recommendation service providing server 300 or other server (not shown) operating in conjunction according to an embodiment of the present invention is used When transmitting a recommendation service application, program, app page, web page, etc., at least one user terminal 100 and at least one certified real estate agent terminal 400 is a location recommendation service application using a commercial area analysis, program, app page, You can install or open web pages, etc. In addition, the service program may be driven in at least one user terminal 100 and at least one authorized broker terminal 400 by using a script executed in a web browser. Here, the web browser is a program that enables the use of a web (WWW: World Wide Web) service, and refers to a program that receives and displays hypertext written in HTML (Hyper Text Mark-up Language), for example, Netscape. , Explorer, Chrome, and the like. In addition, the application means an application on the terminal, for example, includes an app (App) executed in a mobile terminal (smartphone).

Before describing FIG. 2 , a basic concept of commercial area analysis will be described. The content to be described later will not be repeated in FIG. 2 .

Commercial zones are economical in terms of cost and handling scale when a specific marketing unit or group sells or delivers goods or services from the seller's point of view, depending on the point of view, and the scale is determined by certain boundaries, and is appropriate from the buyer's point of view. The region where goods and services can be reasonably expected to be found. In addition, the region where 15% of sales are realized can be defined and classified as secondary commercial districts. Depending on the customer level distributed in the space, customers exist within the closest range of the store, and the spatial law, which includes 55-70% of store customers, exists outside the primary and secondary commercial districts, and accounts for 15-25% of store customers. The tertiary commercial district can be divided into the tertiary commercial district, where store customers exist within the included secondary commercial district, the primary commercial district, and other ranges not included in the secondary commercial district. The size and quality of employees depend on store characteristic factors such as the size and attractiveness of the store, product characteristic factors such as the quality and price, function of products or services, and the possibility of entry of competing products, the number of population in the commercial district, accessibility, and location of competing stores , it is determined by characteristics of surrounding areas such as market penetration, and cost characteristics such as maintenance cost, operating cost, and construction cost.

In order to classify and define such commercial areas, theories have been built through various studies centered on the social sciences. The business district was divided into the center and hinterland according to the market, transportation, and administrative principles, and the basis of the commercial district analysis theory was laid through the central theory, which explained the urban system based on the generalized principle, and the maximum sales that can be calculated for the maximum profit of the store were achieved. Possible retail locations are classified according to eight principles: the potential and potential growth of the commercial district, the possibility of securing customers and the possibility of intermediary attraction in the commercial district, the minimization of aggregation attraction and competition, and compatibility and economic feasibility. In addition, after introducing Newton's gravity model of natural science to economics and developing an executive model that can explain trade patterns between countries, in the social sciences, gravity was used to explain the spatial movement of population, money, and travel. Models are also used as effective tools. In recent years, the gravity model has been applied and used in a wide range of social sciences, such as economics, business administration, traffic research, meteorology, tourism, such as population movement analysis, traffic and cargo volume analysis, weather forecasting, and tourism demand forecasting.

In the field of commercial area analysis, since the gravitational model was first applied to explain the relationship between wages and labor productivity in the United States and the United Kingdom, it has been usefully used in the study of commercial area and location analysis by various scholars. Under the assumption that the power to attract customers in a city located between two stores is proportional to the population of the two cities and inversely proportional to the distance between the stores and the city, a retail gravity model or retail gravity model that estimates sales according to the distribution ratio of two stores A modified retail gravity model was developed to estimate the proportion of consumers absorbed between main stores. In addition, the probabilistic business district analysis model that the sales or preference of a specific store is proportional to the size and inversely proportional to the distance between the customer and the store, or the probabilistic business district analysis Based on the results of this study or a probabilistic commercial area analysis model, not only factors such as store size and distance from customers, but also product price, assortment, employee service, store concept or image, accessibility, and public transportation availability Various studies and publications have been conducted, such as the Multiplicative Competitive Interaction (MCI) model, a spatial interaction model in which the utility of a store is also determined by the attractiveness of a store.

Compared to the deterministic assumption that the consumer must visit a nearby store, the probabilistic market analysis model approaches under the probabilistic assumption that there is a probability that the consumer will visit no matter how far away and with a low probability. Accurate future prediction is possible. In addition, since it explains the reasons why consumers visit a store in terms of utility rather than the size or distance of the store, environmental variables of various markets can be used. In addition, it has the advantage of being able to calculate the probability that consumers will flow into more than one store for each region by dividing the business district into several regions according to various criteria compared to the general business district analysis theory. In other words, under the assumption that consumers can visit more than one store in a situation where the commercial districts are geographically overlapping with each other, it is possible not only to probabilistically explain the selection behavior of each individual store, but also to predict the market share very accurately.

Referring to FIG. 2 based on the above-described basic concept, the storage unit 310 may database at least one category and a subcategory of at least one category. At this time, the at least one category is the same as in FIG. 3A , but is not limited to the categories listed in FIG. 3A and is not excluded for reasons not listed. In addition, it will be apparent that the category may be updated such as modification, editing, deletion, and the like. At this time, at least one category is a category of a higher-level concept such as a hospital and an educational institution in FIG. 3A , and a sub-category is a detailed category included in the upper category of “hospital” such as a university hospital, a large hospital, a pediatric department, or an orthopedic surgeon. means

When the ranking of at least one category among a plurality of categories is set, the score conversion unit 320 may store scores and grades for each ranking. In this case, the scores and grades for each rank may be as shown in Tables 1 and 2 below.

ranking score Grade A Class B Class C 1st place 30 points 10 8 5 2nd place 25 points 8.3 6 4 3rd place 15 points 5 3 2 4th place 15 points 5 3 2 5th place 15 points 5 3 2

ranking score Grade A Class B Class C 1st place 20 points 6.6 4 2 2nd place 15 points 5 4 3 3rd place 12 points 4 3 2 4th place 12 points 4 3 2 5th place 7 points 2.3 1.5 0.8 6th place 7 points 2.3 1.5 0.8 7th place 7 points 2.3 1.5 0.8 8th place 7 points 2.3 1.5 0.8 9th place 7 points 2.3 1.5 0.8 10th place 6 points 2 1.3 0.6

Table 1 provides grades and scores up to 5 ranks since there are 5 selectable categories when the user's grade is Silver according to an embodiment of the present invention. The total score is 100 points, and the grade means the distance range, which is divided into three total points, namely A, B, and C. A is 0m to 100m from the location selected by the user, B is 100m to 400m, and C is 400m to 1km. Table 2 provides grades and scores up to 10 ranks since there are 10 selectable categories when the user grade is Gold according to an embodiment of the present invention. The grades are the same as in Table 1. The property management unit 330 may collect at least one piece of commercial property data and map and store the location and at least one real estate agent terminal 400 having at least one commercial property data.

When the user terminal 100 selects at least one category and a shopping mall, the transmitter 340 may extract a score for at least one category based on the selected shopping mall and transmit it to the user terminal 100 . The user terminal 100 agrees to the provision of location information service, selects at least one category from among a plurality of categories, selects any one of the at least one mall exposed based on GPS, and selects any one of the shopping malls. Scores and distances for at least one category are overlaid on the map based on , and a total score can be output by adding up scores for at least one category. In this case, the GPS of the user terminal 100 can be replaced with a location according to Wi-Fi or triangulation. However, as for the indoor positioning method, a study on the reduction of positioning error of the fingerprint method using triangulation, Cheongyun Jang, Dooyong Lee, Jeonghwan Jang, Yongcheol Cho, Changho Lee, (Proceedings of the Korean Society of Safety Management Science Conference, Vol.2012 No.04, [2012]), and the like, so a detailed description will be omitted.

For example, as shown in Fig. 3c, when the user visits or enters the corresponding point, the shopping mall for sale in the area is displayed as shown in Fig. 3d. It is a point, where there are several schools within a few meters as shown in Fig. 3e, a hospital as shown in Fig. 3f, a cafe as shown in Fig. 3g, a pharmacy as shown in Fig. 3f, where, how many meters away and how many points, etc. will be output. can In this case, a hypermarket, a school, a hospital, a cafe, and a pharmacy are categories selected by the user, and the order may be the listed order. The sum of all these points can be output as shown in FIG. 3i, and a score for a location can be calculated based on a category (variable) that the user considers important, so that a user-customized commercial area analysis and location analysis are possible.

The intermediary unit 350, when selecting any one shopping mall in the user terminal 100, lists up at least one authorized broker terminal 400 holding the shopping mall data of any one shopping mall and transmits it to the user terminal 100. can

The recommendation unit 360 may recommend equipment necessary for the industry set by the user terminal 100 when the user terminal 100 requests the sale or lease of the shopping mall.

The discount unit 370 may apply a preset additional discount and register as a target for post-management service when the user terminal 100 collectively purchases equipment necessary for the industry as a preset brand product. At this time, there may be benefits such as being able to receive electronic products necessary for the business through a contract and to be provided at a low price compared to other places, extended after-sales period or installation cost support. This process has the advantage of increasing awareness and increasing the number of visitors, and in the case of an electronic dealership, it is good because, of course, buyers who purchase in large quantities are connected. This can be very important for future business development.

The context recognition unit 380 may calculate a total score using a context-aware computing and a rule-based reasoning engine. At this time, the basic concept of the context-aware rule is "The Context-aware Recommendation System with Rule-based Inference Engine in the Mobile Environment Gil Huo, Soongsil University Graduate School,[ 2011])" and the like, so a detailed description will be omitted. At this time, the components of the Rule-Based System are composed of a knowledge base, a working memory, and an inference engine. The knowledge base is a rule that is the basis of inference, and the facts are stored in the working memory. The reasoning engine is responsible for generating new facts from existing facts based on the rules stored in the knowledge base, and is automatically programmed based on these rules. Here, the rules are shown in Tables 1 and 2.

In addition, an embodiment of the present invention may further use the concepts of homogeneous integration and heterogeneous integration.

When consumers purchase similar products, they benefit from comparison shopping, which induces better purchasing decisions by comparing similar products. Commercial districts with aggregation of same-type stores attract many consumers in that they are advantageous for consumer comparison shopping, which further promotes homogeneous aggregation. In the concept of purchase success probability, homogeneous aggregation increases the purchase success probability and decreases the actual purchase cost in that it can reduce the cost and time for search. will generate profits. At this time, a difference in store aggregation occurs depending on the characteristics of the goods. Goods can be classified into experience goods and search goods according to the characteristics. The reason why the stores of search goods such as clothing and furniture show a higher concentration in the center than experience goods such as automobiles and home appliances is because of the characteristics of experience goods in which the process for search is more essential. In the case of furniture and clothing, which is advantageous for aggregation, it is effective to increase the number of stores in a specific area, whereas gas stations and pharmacies that avoid aggregation require spatial avoidance of competing stores.

On the other hand, consumers visit a number of stores to purchase various products. Consumers who need multi-purpose shopping like this often prefer large shopping centers to save the cost and time of visiting individual stores in multiple locations. The aggregation of various stores in a specific area increases consumer convenience and further promotes the aggregation. Stores in areas where various industries are concentrated can not only provide consumers with infrastructure such as parking facilities, ATMs and public toilets that are difficult to secure individually, but also benefit from joint use of the consumer pool. In this case, non-shopping activity is combined with purchasing activity to increase the effect of multi-purpose shopping and to attract consumers. Here, the non-purchase activity refers to activities such as work, leisure, service, and transportation. The increase in income level and increase in leisure activities changed consumption culture and behavior, and the concept of commercial activity was expanded to include not only purchasing products but also eating out, movies, performances, and rest.

As such, the recent shopping behavior is more closely related to multipurpose shopping, and it can be seen that the proportion of stores with non-purchasing functions such as food service, service industry, and entertainment is relatively high in a commercial district composed of various wholesale and retail stores. This can be summarized as consumer and supplier benefits according to industry and consumer type as shown in Table 3 below. Therefore, in order to analyze the characteristics of each area according to the aggregation, it is necessary to review the industry composition including the same type and heterogeneous aggregation of the target site.

Classification (purpose) Contents homogeneous
(comparative shopping) consumer benefits Guide better decisions, minimize travel and cost Supplier Benefits Non-purpose consumption occurs, total purchases increase, and aggregate profit is generated advantageous industry Compared to the experience goods, the search goods sector, the sector with a low degree of standardization of goods heterogeneous accumulation
(Multipurpose Shopping) consumer benefits Reduce cost and time, increase consumer convenience Supplier Benefits Sharing infrastructure, sharing consumer pools, forming common consumption groups, combining non-purchasing activities consumer type Service seeking, distance is of high importance

Homogeneous aggregation increases commercial performance by sharing the advantages of specialized infrastructure and networks to generate positive effects. In addition, by increasing the drawing power to attract consumers who want to shop for comparison, it forms a common consumer pool and shares it, which is relatively advantageous for survival compared to stores with individual locations. On the other hand, heterogeneous agglomeration increases new business start-ups through the convergence of ideas or associations between industries, and helps increase sales of new and existing stores. Various stores are opened due to the tendency of visitors to pursue various commercial activities rather than the clear purpose of purchasing specific products, which has a positive effect on the overall growth and development of the region. However, due to the expected profit from the same type and heterogeneous aggregation, store rent is formed high, and stores that cannot open in the agglomeration area of the commercial district due to financial limitations are opened in a disadvantageous location. Therefore, it is very important to analyze the characteristics of each area according to the degree of density and to search for a strategic plan suitable for the conditions of individual stores.

Accordingly, after receiving the input of the type of store that the user wants to open for the area selected by the user terminal 100, identifying the general characteristics of the selected area, classifying the zones by step according to the aggregation using the GIS method, and classified by zone In order to understand the characteristics, commercial district indicators such as traffic volume, population size, industry composition, and business structure that affect the commercial performance of a store may be set as criteria for analysis, and the results may be transmitted to the user terminal 100 . For example, the QGIS temperature map technique can be used to identify heterogeneous and homogeneous aggregation of target sites based on the location (store location) selected by the user, and the density level can be classified into 5 level zones according to the equally spaced classification. . In order to compare the heterogeneous agglomeration of the target site and the homogeneous aggregation, a density map of the heterogeneous agglomeration of N industries and the restaurant homogeneous aggregation, wholesale and retail homogeneous aggregation, and service industry homogeneous aggregation, which are major life-related industries, can be prepared.

Then, spatial information is analyzed. To analyze the characteristics of each zone, first, GIS spatial information analysis can be performed based on quantitative indicators of traffic volume, businesses, and population. The floating population can be predicted by analyzing the The population is based on residents and mainly corresponds to the night-time population. Since floating population and resident population serve as criteria for judging the size of consumption, they are important indicators in exploring the correlation between the influence on store aggregation and the characteristics of each district.

In order to analyze the traffic volume of the target site, information on the number of passengers getting on and off the bus stop at the target site can be collected at the Seoul Open Data Plaza and analyzed by dividing the QGIS temperature map at equal intervals in 5 steps. In order to compare this with store agglomeration, it can be expressed overlaid with store-dense areas. At this time, if the high-density areas show a pattern adjacent to each other, the store agglomeration is influenced by the location of the transportation facility that determines the amount of traffic to form a high-density area. In order to understand the density of businesses, public data of statistical and geographic information services can be collected and analyzed in five steps, such as traffic volume analysis, at equal intervals.

Hereinafter, an operation process according to the configuration of the recommendation service providing server of FIG. 2 will be described in detail with reference to FIGS. 3 and 4 as an example. However, it will be apparent that the embodiment is only one of various embodiments of the present invention and is not limited thereto.

Referring to FIG. 3A , the recommendation service providing server 300 receives a category selection from the user terminal 100 and displays a map as shown in FIG. 3B . And, as shown in Fig. 3c, the local shopping mall is output, and as shown in Fig. 3d, how many meters are within the other large marts from the location of the shopping mall, and the like are reported as shown in Figs. 3e to 3j. Referring to FIG. 4A , an embodiment of the present invention selects and produces categories, selects the number of selectable categories for each level of each member (user), selects categories as shown in FIG. 4D through a survey, and FIG. 4C It can be designed to introduce a location-based service as shown in FIG. 4D and use a rule-based reasoning engine as shown in FIG. 4D to feed back a result to a user based on the rule in FIG. 4F with a flow as shown in FIG. 4E.

The matters that are not described with respect to the method of providing a location recommendation service using the analysis of the commercial area of FIGS. 2 to 4 are the same as those described for the method of providing the location recommendation service using the analysis of the commercial area through FIG. 1 or from the described content. Since it can be easily inferred, the following description will be omitted.

5 is a diagram illustrating a process in which data is transmitted/received between components included in the system for providing a location recommendation service using the commercial area analysis of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process in which data is transmitted/received between each component will be described with reference to FIG. 5, but the present application is not limited to such an embodiment, and the example shown in FIG. 5 according to the various embodiments described above will be described. It is apparent to those skilled in the art that the data transmission/reception process may be changed.

Referring to FIG. 5 , the recommendation service providing server databaseizes at least one category and a subcategory of at least one category ( S5100 ), and when a ranking of at least one category among a plurality of categories is set, scores for each ranking and store the grade (S5200).

In addition, the recommendation service providing server collects at least one commercial sale data, maps and stores the location and at least one authorized real estate agent terminal having at least one commercial sale data (S5300), and at least one category and shopping mall in the user terminal When selecting , scores for at least one category are extracted based on the selected shopping mall and transmitted to the user terminal (S5400).

The order between the above-described steps (S5100 to S5400) is only an example, and is not limited thereto. That is, the order between the above-described steps ( S5100 to S5400 ) may be mutually changed, and some of these steps may be simultaneously executed or deleted.

Matters that are not described with respect to the method of providing a location recommendation service using the analysis of the commercial area of FIG. 5 are the same as those described for the method of providing the location recommendation service using the analysis of the commercial area through FIGS. Since it can be easily inferred, the following description will be omitted.

The method of providing a location recommendation service using a commercial area analysis according to an embodiment described with reference to FIG. 5 may also be implemented in the form of a recording medium including instructions executable by a computer, such as an application or program module executed by a computer. can Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer-readable media may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The method of providing a location recommendation service using a commercial area analysis according to an embodiment of the present invention described above is performed by an application basically installed in a terminal (which may include a program included in a platform or an operating system, etc. basically installed in the terminal) may be executed, and may be executed by an application (ie, a program) directly installed in the master terminal by a user through an application providing server such as an application store server, an application, or a web server related to the corresponding service. In this sense, the above-described location recommendation service providing method using commercial area analysis according to an embodiment of the present invention is implemented as an application (ie, a program) installed by default in a terminal or directly installed by a user, and is transmitted to a computer such as a terminal. It may be recorded on a readable recording medium.

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

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

Claims (6)

Agree to the location information service provision, select at least one category from among a plurality of categories, select any one of the at least one shopping mall exposed based on GPS, and select at least one a user terminal that overlays scores and distances for each category on a map and outputs a total score by adding up the scores for each category; and
a storage unit for databaseizing the at least one category and a subcategory of the at least one category; When selecting at least one category and shopping mall from the user terminal, the property management unit that collects one shopping mall data and maps and stores the location and at least one certified real estate agent terminal having the at least one shopping mall data, the selected shopping mall a recommendation service providing server including a transmitter for extracting the score for the at least one category as a reference and transmitting it to the user terminal;
A system for providing location recommendation service using commercial area analysis, including
The method of claim 1,
Location recommendation service providing system using commercial area analysis, characterized in that the GPS of the user terminal can be replaced with a location according to Wi-Fi or triangulation.
The method of claim 1,
The recommendation service providing server,
When the user terminal selects any one of the malls, an intermediary unit for listing at least one certified real estate agent terminal holding the data of the one shopping mall and transmitting it to the user terminal;
Location recommendation service providing system using commercial area analysis, characterized in that it further comprises.
The method of claim 1,
The recommendation service providing server,
a recommendation unit for recommending equipment necessary for the industry set in the user terminal when the user terminal requests the sale or lease of the shopping mall;
Location recommendation service providing system using commercial area analysis, characterized in that it further comprises.
5. The method of claim 4,
The recommendation service providing server,
a discount unit that applies a preset additional discount when collectively purchasing equipment necessary for the industry as a preset brand product from the user terminal and registers it as an after-sales service target;
Location recommendation service providing system using commercial area analysis, characterized in that it further comprises.
The method of claim 1,
The recommendation service providing server,
a context-aware computing unit for calculating the total score using a context-aware computing and a rule-based reasoning engine;
Location recommendation service providing system using commercial area analysis, characterized in that it further comprises.

Images