KR102619024B1 - Method for providing keywords for product management and sales in open market - Google Patents

Abstract

One embodiment of the present invention relates to a method of providing keywords for product management and sales in an open market, and obtaining search history information including words searched by searchers who searched for the first keyword from the open market server. A step of selecting a second keyword from among keywords searched by searchers who searched for the first keyword based on the search history information, wherein the second keyword is selected from the first keyword. A keyword with the highest search volume among keywords that are related to a keyword and the number of products searched during a search is less than or equal to a preset first threshold, and providing the second keyword to the user terminal. do.

Description

Method of providing keywords for product management and sales in the open market {METHOD FOR PROVIDING KEYWORDS FOR PRODUCT MANAGEMENT AND SALES IN OPEN MARKET}

Embodiments of the present invention relate to a method of providing keywords for product management and sales in an open market.

As the Internet became widely available, product sellers established online virtual markets called online shopping malls, allowing Internet users to purchase specific products or goods they wanted to purchase through these virtual markets without having to visit a dealership in person. It has been done. The emergence of these online shopping malls has made it possible to save time and costs resulting from direct purchases such as direct visits or reservation purchases. Due to these advantages of online shopping malls, many users have started using online shopping malls, and thanks to this, various online shopping malls have emerged.

Online shopping sellers often use open markets to sell products, and services (for example, services that provide product search rankings, etc.) are provided to help sellers selling products in open markets.

However, it is still not easy for sellers to sell products through fierce competition in the open market, and especially as the number of individual sellers increases, a method may be needed to provide direction on what products to sell and how to sell them.

Embodiments of the present invention can provide an open market operation management support service providing server and a method of operating the same.

The technical challenges to be achieved in the embodiments are not limited to the matters mentioned above, and other technical challenges not mentioned may be considered by those skilled in the art from the various embodiments described below. You can.

According to embodiments, a method of providing an open market operation management support service performed by at least one server includes the steps of: obtaining information about a product category that a user wants to sell from a user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. Obtaining information; and providing the first keyword, first price range information, and second price range information to the user terminal.

Here, the plurality of keywords related to the product may include related search words related to the product category, homonyms for the product category, and words of upper and lower concepts of the product category.

Here, the competition rate may be determined based on the number of products searched when searching for the keyword compared to the search volume of the keyword.

Here, the server obtains search history information including words searched by searchers who searched the first keyword from the open market server; Based on the search history information, searchers who search for the first keyword select a second keyword from among keywords searched before searching for the first keyword, and the second keyword is A step of selecting a keyword with the highest search volume among keywords that are related and the number of products searched during a search is less than or equal to a preset first threshold; And it may further include providing the second keyword to the user terminal.

Here, the second keyword may be a search word that has some letters overlapping with the first keyword.

One embodiment of the present invention provides a server that provides an open market operation management support service, comprising: a processor; transceiver; and memory; Includes, wherein the processor: obtains information about the product category that the user wants to sell, from the user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; Selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. obtain information; And it may be set to provide the first keyword, first price range information, and second price range information to the user terminal.

Here, the plurality of keywords related to the product may include related search words related to the product category, homonyms for the product category, and words of upper and lower concepts of the product category.

Here, the competition rate may be determined based on the number of products searched when searching for the keyword compared to the search volume of the keyword.

Here, the processor obtains search history information including words searched by searchers who searched the first keyword from the open market server; Based on the search history information, searchers who search for the first keyword select a second keyword from among keywords searched before searching for the first keyword, and the second keyword is It is a keyword with the highest search volume among keywords that are related and the number of products searched during a search is less than or equal to a preset first threshold; and may be further configured to provide the second keyword to the user terminal.

Here, the second keyword may be a search word that has some letters overlapping with the first keyword.

One embodiment of the present invention provides a server that provides an open market operation management support service, comprising: a processor; transceiver; and memory; Includes, wherein the processor: obtains information about the product category that the user wants to sell, from the user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; Selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. obtain information; And it may be set to provide the first keyword, first price range information, and second price range information to the user terminal.

One embodiment of the present invention includes at least one computer-readable recording medium containing instructions based on execution by at least one processor of a server providing open market operation management support services. (computer readable medium), comprising: obtaining information about a product category that a user wants to sell from a user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. Obtaining information; and providing the first keyword, first price range information, and second price range information to the user terminal.

One embodiment of the present invention provides a server device that provides an open market operation management service, the device comprising: a memory; and a processor operably coupled to the memory, wherein the processor: obtains information about a product category that the user wants to sell from a user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; Selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. obtain information; And it may be set to provide the first keyword, first price range information, and second price range information to the user terminal.

According to embodiments, a user can set a category of a product he or she wants to sell in an open market and obtain information about the optimal target price range within the product category through analysis results through an open market operation management support service.

According to embodiments, a user may obtain information about a keyword with the lowest competition rate among keywords related to a product to be sold, that is, a keyword that can demonstrate the most competitiveness within the same keyword. Therefore, it is possible to secure keywords that can compete with relatively fewer competitors, making it possible to efficiently sell products in the open market.

The effects that can be obtained from the examples are not limited to the effects mentioned above, and other effects not mentioned can be clearly derived and understood by those skilled in the art based on the detailed description below. It can be.

The accompanying drawings, which are included as part of the detailed description to aid understanding of the embodiments, provide various embodiments and together with the detailed description describe technical features of the various embodiments.
1 is a system diagram including a server providing an open market operation management support service according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of a server that provides an open market operation management support service according to an embodiment of the present invention.
Figure 3 is a diagram illustrating an embodiment of a method of operating an open market operation management support service providing server.
Figure 4 is a diagram illustrating an example of product category information.
Figure 5 is a diagram illustrating an example of a keyword extraction method.
Figure 6 is a diagram illustrating an embodiment of a method for calculating the competition rate.
Figure 7 is a diagram illustrating an example of a method for selecting excellent products.
Figure 8 is a diagram illustrating an embodiment of a method for setting a recommended price range.
Figure 9 is a diagram illustrating an example of a second keyword selection method.
Figure 10 is a diagram illustrating an embodiment of a method for transmitting a warning message.

The following embodiments combine elements and features of the embodiments in a predetermined form. Each component or feature may be considered optional unless explicitly stated otherwise. Each component or feature may be implemented in a form that is not combined with other components or features. Additionally, various embodiments may be configured by combining some components and/or features. The order of operations described in various embodiments may change. Some features or features of one embodiment may be included in other embodiments or may be replaced with corresponding features or features of other embodiments.

In the description of the drawings, procedures or steps that may obscure the gist of the various embodiments are not described, and procedures or steps that can be understood at the level of a person with ordinary knowledge in the relevant technical field are not described. did.

Throughout the specification, when a part is said to “comprise or include” a certain element, this means that it does not exclude other elements but may further include other elements, unless specifically stated to the contrary. do. In addition, terms such as "... unit", "... unit", and "module" used in the specification refer to a unit that processes at least one function or operation, which refers to hardware, software, or a combination of hardware and software. It can be implemented as: Additionally, the terms “a or an,” “one,” “the,” and similar related terms are used herein in the context of describing various embodiments (particularly in the context of the claims below). Unless otherwise indicated or clearly contradicted by context, it may be used in both singular and plural terms.

Hereinafter, embodiments according to various embodiments will be described in detail with reference to the attached drawings. The detailed description set forth below in conjunction with the accompanying drawings is intended to illustrate exemplary embodiments of various embodiments and is not intended to represent the only embodiment.

In addition, specific terms used in various embodiments are provided to aid understanding of the various embodiments, and the use of such specific terms may be changed to other forms without departing from the technical spirit of the various embodiments. .

Referring to FIG. 1, the method of providing an open market operation management support service according to an embodiment of the present invention is performed on a computing device that has a storage space and can be connected to the Internet, such as a PC (Personal Computer), and is not easily portable, or is performed on a smart computer. It can be performed on a portable terminal such as a phone. At this time, the method of providing open market operation management support services may be executed after an application in which the method of providing open market operation management support services is implemented is downloaded from the App store, etc. and installed on the portable terminal.

And the method of providing the open market operation management support service is recorded on a recording medium such as CD (Compact Disc) or USB (Universal Serial Bus) memory, inserted into a computing device such as a PC, and performed through an access operation of the computing device. Alternatively, it may be stored in the storage space of the computing device from the recording medium and then performed through an access operation of the computing device.

Meanwhile, if the computing device or portable terminal can access a server connected to the Internet, the method of providing open market operation management support services can also be executed on the server at the request of the computing device or portable terminal.

Hereinafter, the computing device, portable terminal, or server on which the above method of providing open market operation management support services is executed may be collectively referred to as an open market operation management support service provision device.

The open market operation management support service provision device may have the same configuration as the open market operation management support service provision device illustrated in FIG. 2, and the open market operation management support service provision device illustrated in FIG. 1 may have the same configuration as the open market operation management support service provision device illustrated in FIG. 1. Support service provision may not be limited to devices.

The system according to one embodiment includes a user terminal 100, an open market server 110, a searcher terminal 120, 130, and an open market operation management support service providing server 200 (hereinafter referred to as server 200). It can be included. The network may include an Internet portal site server, an SNS server, and a server that operates a blog.

The user terminal 100, open market server 110, and searcher terminals 120 and 130 include smartphones, tablet PCs, PCs, smart TVs, mobile phones, personal digital assistants (PDAs), laptops, media players, and micro servers. , GPS (global positioning system) devices, e-readers, digital broadcasting terminals, navigation, kiosks, MP3 players, digital cameras, home appliances, devices equipped with cameras, and other mobile or non-mobile computing devices. No. Additionally, the user terminal 100, the open market server 110, and the searcher terminals 120 and 130 may be wearable devices equipped with communication functions and data processing functions. However, it is not limited to this.

The server 200 is a computer device or a plurality of computer devices that communicate with the user terminal 100, the open market server 110, and the searcher terminals 120 and 130 over a network to provide commands, codes, files, content, services, etc. It can be implemented with computer devices.

For example, the server 200 may provide files for installing applications to the user terminal 100, the open market server 110, and searcher terminals 120 and 130 connected through the network. In this case, the user terminal 100, the open market server 110, and the searcher terminals 120 and 130 may install the application using the file provided from the server 200.

In addition, the user terminal 100, the open market server 110, and the searcher terminals 120 and 130 are operated by a server (for example, a browser or an installed application) under the control of an operating system (OS) and at least one program (for example, a browser or an installed application). By accessing 200), you can receive services or content provided by the server 200.

As another example, the server 200 sets up a communication session for data transmission and reception, and routes data transmission and reception between the user terminal 100, the open market server 110, and the searcher terminals 120 and 130 through the established communication session. It may be possible.

The user terminal 100, the open market server 110, the searcher terminals 120 and 130, and the open market operation management support service providing server 200 may communicate using a network. For example, networks include Local Area Network (LAN), Wide Area Network (WAN), Value Added Network (VAN), mobile radio communication network, satellite communication network, and their It is a comprehensive data communication network that includes mutual combinations and allows each network constituent shown in Figure 1 to communicate smoothly with each other, and may include wired Internet, wireless Internet, and mobile wireless communication networks. In addition, wireless communications include, for example, wireless LAN (Wi-Fi), Bluetooth, Bluetooth low energy, ZigBee, WFD (Wi-Fi Direct), UWB (ultra wideband), and infrared communications (IrDA). Data Association), NFC (Near Field Communication), etc., but are not limited to these.

Figure 2 is a block diagram showing the configuration of a server that provides an open market operation management support service according to an embodiment of the present invention.

Referring to FIG. 2, a server 200 (hereinafter referred to as server 200) that provides open market operation management support services may include a communication unit 210, a processor 220, and a DB 230. In the server 200 of FIG. 2, only components related to the embodiment are shown. Accordingly, those skilled in the art can understand that other general-purpose components may be included in addition to the components shown in FIG. 2.

The communication unit 210 may include one or more components that enable wired/wireless communication between terminals. For example, the communication unit 210 may include at least one of a short-range communication unit (not shown), a mobile communication unit (not shown), and a broadcast receiver (not shown).

For example, a request generated according to a program code stored in a recording device such as the DB 230 may be transmitted to the terminal through the network under the control of the communication unit 210. Conversely, control signals, commands, content, files, etc. provided under control of the processor of the terminal may be received by the server 200 through the communication unit 210 via the network. For example, control signals, commands, contents, files, etc. of the server 200 received through the communication unit 210 may be transmitted to the processor 220 or transmitted to the DB 230 and stored.

DB 230 is hardware that stores various data processed within the server 200, and can store programs for processing and control of the processor 220.

The DB 230 includes random access memory (RAM) such as dynamic random access memory (DRAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), CD- It may include ROM, Blu-ray or other optical disk storage, a hard disk drive (HDD), a solid state drive (SSD), or flash memory. DB 230 may also be referred to as memory.

The processor 220 controls the overall operation of the server 200. For example, the processor 220 can generally control the input unit (not shown), display (not shown), communication unit 210, DB 230, etc. by executing programs stored in the DB 230. The processor 220 can control the operation of the external server 200 by executing programs stored in the DB 230.

The communication unit 210 may include one or more components that allow the server 200 to communicate with other devices (not shown) and servers (not shown). The other device (not shown) may be a computing device such as the server 200 or a sensing device, but is not limited thereto. The communication unit 210 may receive a user input from another electronic device or receive data stored in an external device from an external device through a network.

DB 230 may store programs for processing and control of processor 220. For example, the DB 230 may store instructions for providing services. Additionally, the DB 230 may store data generated by the processor 220. For example, the DB 230 may store information related to the open market operation management support service provided by the processor 220. DB 230 may store information input to or output from the server 200.

The processor 220 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, and microcontrollers. It may be implemented using at least one of micro-controllers, microprocessors, and other electrical units for performing functions.

DB 230 may store at least one command executed through processor 220. At least one command obtains information about a product category that the user wants to sell from the user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; Selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. obtain information; And it may be set to provide the first keyword, first price range information, and second price range information to the user terminal.

Here, the plurality of keywords related to the product may include related search words related to the product category, homonyms for the product category, and words of upper and lower concepts of the product category.

Here, the competition rate may be determined based on the number of products searched when searching for the keyword compared to the search volume of the keyword.

Here, the at least one command obtains search history information including words searched by searchers who searched for the first keyword from the open market server; Based on the search history information, searchers who search for the first keyword select a second keyword from among keywords searched before searching for the first keyword, and the second keyword is It is a keyword with the highest search volume among keywords that are related and the number of products searched during a search is less than or equal to a preset first threshold; and may be further configured to provide the second keyword to the user terminal.

Here, the second keyword may be a search word that has some letters overlapping with the first keyword.

Figure 3 is a diagram illustrating an embodiment of a method of operating an open market operation management support service providing server.

Referring to Figure 3, the open market operation management support service providing server (hereinafter referred to as server) may obtain product category information (S300). For example, the server may obtain information about the product category that the user wants to sell from the user terminal. The user does not need to specifically decide in advance what product he or she wants to sell, and can only provide information related to the category of the product he or she wants to sell to the server.

For example, since the server providing the open market operation management support service can provide information on the price range of the product to be sold by the user, the user can first decide on the product category and then prepare and sell products that fit the price range according to the recommended price range. Therefore, at first, only information related to the product category can be provided. Below, product category information is explained.

Figure 4 is a diagram illustrating an example of product category information.

Referring to FIG. 4, product categories may include major categories and minor categories, and the product category provided by the user may correspond to the minor category. For example, a major category called office supplies may include a small category called monitor stand and stapler. Each subcategory may include more specific product types.

For example, the monitor stand category may include a single-stage monitor stand, a two-stage monitor stand, a standing desk, a dual monitor stand, etc.

For example, the stapler category may include basic staplers, staplers, staple needles, two-hole punches, three-hole punches, etc.

For example, the user can provide 'monitor stand' as product category information to the server, and the server can obtain product category information called 'monitor stand' from the user terminal.

Referring again to FIG. 3, the server can extract keywords (S310). For example, the server may extract a plurality of keywords related to the product category.

For example, the plurality of keywords related to the product may include related search words related to the product category, homonyms for the product category, and words of upper and lower concepts of the product category. Next, an embodiment of a method for extracting keywords based on a product category is described.

Figure 5 is a diagram illustrating an example of a keyword extraction method.

Referring to Figure 5, a monitor stand can be selected as a product category, and keywords related to the monitor stand can be extracted. For example, keywords related to the monitor stand may include related search terms related to the product category, homonyms for the product category, and words of upper and lower concepts of the product category.

For example, keywords related to monitor stands may include monitor shelves, monitor stands, dual monitor stands, height-adjustable monitor stands, monitors, dual monitors, wooden monitor stands, plastic monitor stands, steel monitor stands, etc.

Referring again to FIG. 3, the server may select the first keyword (S320). For example, the server may select a first keyword with the lowest competition rate among the plurality of keywords.

For example, the competition rate may be determined based on the number of products searched when searching for the keyword compared to the search volume of the keyword. For example, the competition rate may decrease as the keyword search volume increases, and may increase as the number of products searched during a keyword search increases. The reason for selecting the keyword with the lowest competition rate among a plurality of keywords may be to allow users (i.e., sellers) to relatively easily secure competitiveness in product sales. Next, a specific method for calculating the competition rate is explained.

Figure 6 is a diagram illustrating an embodiment of a method for calculating the competition rate.

Referring to Figure 6, the server displays a plurality of keywords (e.g., height-adjustable monitor stand, dual monitor stand, monitor shelf, monitor stand, wooden monitor stand, steel monitor stand, plastic monitor stand, dual monitor, monitor, etc.) The competition rate for each can be calculated.

The competition rate of the first keyword is calculated as follows,

S may be the competition rate of the first keyword, A may be the number of products searched when searching for the first keyword, B may be the search volume of the first keyword, and K may be a correction constant.

In other words, the competition rate for “height-adjustable monitor stand” can be the number of products searched when searching for “height-adjustable monitor stand” divided by the search volume for “height-adjustable monitor stand” multiplied by the correction constant.

Since the number of products searched relative to the search volume may be very small, a correction constant that allows the competition rate to have a value between 0 and 1 may be selected by considering the number of products compared to the search volume of overall keywords. For example, the correction constant may be determined so that the competition rate of the keyword with the highest competition rate among a plurality of keywords is 1.

Once the competition rate of each keyword is determined, the keyword with the lowest competition rate among each keyword may be selected as the first keyword. For example, height-adjustable monitor stand may be selected as the first keyword.

Referring again to FIG. 3, the server can calculate the score of the product (S330). For example, the server may calculate scores for products searched when searching for the first keyword. For example, the score may be calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products.

The score may be calculated based on a change in the number of reviews related to the product and a change in the number of purchases related to the product.

Here, the score can be calculated as follows.

P is the above score, L is the percentage of deliveries completed within 3 days, Q1 is the number of reviews this week, Q2 is the number of reviews last week, Q3 is the number of reviews this month, Q4 is the number of reviews last month, Q5 is the number of reviews today, and R6 is the number of reviews yesterday. Number of reviews, R1 is the number of purchases this week, R2 is the number of purchases last week, R3 is the number of purchases this month, R4 is the number of purchases last month, R5 is the number of purchases today, and R6 is the number of purchases yesterday.

For example, the score can be calculated based on the percentage of deliveries completed within 3 days (L), the number of reviews this week (Q1), and the number of purchases this week (R1). For example, the number of reviews this week may be multiplied by a weight for whether the number of recent reviews is trending upward. For example, the number of purchases this week may be multiplied by a weight for whether the number of recent purchases is trending upward. Weights can also be negative. The weight is the difference between the number of reviews/purchases this week and the number of reviews/purchases last week divided by 7, and the difference between the number of reviews/purchases this month and the number of reviews/purchases last month divided by 30. It can be the added value plus the difference between today's number of reviews/purchases and yesterday's number of reviews/purchases. In the weighting, the number of reviews/purchases factor today is entered repeatedly 3 times, and the factor number of reviews/purchases this week is entered repeatedly 2 times. Therefore, it can be seen that more weight is given to more recent dates.

For example, the number of reviews this week and the number of purchases this week are the number of reviews posted and the number of products purchased over the past 7 days from the time of calculating the sales score, and the number of reviews this month and the number of purchases this month are may be the number of reviews posted and the number of products purchased over the past 30 days from the time of calculating the sales score.

The server can select excellent products (S340). For example, the server may select excellent products including the top 10 products with high scores. For example, if height-adjustable monitor stand is selected as the first keyword, the server calculates scores for products exposed when searching for height-adjustable monitor stand and selects the top 10 products based on the scores of the products. can do. In other words, the top 10 products with the highest scores can be selected as excellent products. Next, an example of a method for selecting an excellent product is described.

Figure 7 is a diagram illustrating an example of a method for selecting excellent products.

Referring to Figure 7, when searching for a height-adjustable monitor stand, products related to various monitor stands may be exposed. When the server searches for a height-adjustable monitor stand, it can calculate scores for the searched monitor stand products. For example, scores for monitor stand products may be calculated based on trends in the number of reviews related to the product and trends in the number of purchases related to the product, as described above.

For example, when the score for monitor stand products is calculated, the products can be listed in order of score for monitor stand products, and among them, the top 10 monitor stand products (e.g., monitor stand A, monitor Pedestal B, Monitor Pedestal C, Monitor Pedestal D, Monitor Pedestal E, etc.) may be selected as an excellent product. In other words, 10 monitor stand products can be selected as excellent products in order of highest score.

Referring again to FIG. 3, the server can obtain age information (S350). For example, the server obtains information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product from the open market server. can do.

For example, the server may obtain statistical information on searchers who searched for the first keyword from an open market server. For example, the server may obtain information about the ages of searchers who searched for the first keyword. For example, the server may classify the ages of searchers who searched the first keyword by age group (e.g., teens, 20s, 30s, 40s, 50s, 60s, 70s or older, etc.) can do. For example, the server may list the age groups of searchers who searched the first keyword in order of search volume, and obtain first age group information about the age groups of searchers who searched the first keyword the most. there is.

For example, the server may obtain statistical information on buyers who purchased the excellent product from the open market server. For example, the server can obtain information about the ages of buyers who purchased the excellent product. For example, the server can classify the ages of buyers who purchased the excellent product by age group (e.g., teens, 20s, 30s, 40s, 50s, 60s, 70s or older, etc.) there is. For example, the server may list the age groups of searchers who purchased the excellent product in order of purchase volume and obtain second age group information about the age groups of buyers who purchased the most excellent product.

The server can obtain price range information (S360). For example, the server receives from the open market server, first price range information, which is the price range information of the product most purchased by the first age group in the product category, and information about the product most purchased by the second age group in the product category. Second price range information, which is price range information, can be obtained.

For example, the server may obtain information related to the prices of products purchased by people in the first age group in the product category from an open market server. For example, the price range is 5,000 won or less, more than 5,000 won but less than 10,000 won, more than 10,000 won but less than 20,000 won, more than 20,000 won but less than 30,000 won, more than 30,000 won but less than 40,000 won, more than 40,000 won but less than 50,000 won, and more than 50,000 won and less than 100,000 won. It can be classified into price range information as follows. For example, the server may obtain information about which of the price ranges people in the first age group purchase the most products in (i.e., first price range information).

For example, the server may obtain information related to the prices of products purchased by people in the second age group in the product category from an open market server. For example, the price range is 5,000 won or less, more than 5,000 won but less than 10,000 won, more than 10,000 won but less than 20,000 won, more than 20,000 won but less than 30,000 won, more than 30,000 won but less than 40,000 won, more than 40,000 won but less than 50,000 won, and more than 50,000 won and less than 100,000 won. It can be classified into price range information as follows. For example, the server may obtain information about which of the price ranges people in the second age group purchase the most products in (ie, second price range information).

For example, the server may provide the first keyword, first price range information, and second price range information to the user terminal. That is, the server may provide the user terminal with information on the price range of products most frequently purchased by people of the first age group and the price range of products most frequently purchased by people of the second age group, along with the first keyword.

The server may provide recommended price range information (S370). For example, the server may provide third price range information (i.e., recommended price range information) to the user terminal. For example, the server may calculate the third price range information based on the first price range information and the second price range information. For example, the third price range information may be determined between the first price range information and the second price range information based on the competition rate of the first keyword.

The competition rate of the first keyword is calculated as follows,

S may be the competition rate of the first keyword, A may be the number of products searched when searching for the first keyword, B may be the search volume of the first keyword, and K may be a correction constant.

The third price range information is calculated as follows,

X may be the third price range information, S may be the competition rate of the first keyword, C may be the first price range information, and D may be the second price range information.

For example, the third price range information may be determined between the first price range information and the second price range information based on the competition rate of the first keyword. For example, recommended price range information (i.e., third price range information) may be determined differently between a first price range and a second price range depending on the competition rate of the first keyword. Next, one embodiment of a method for determining a third price range (i.e., recommended price range) is described.

Figure 8 is a diagram illustrating an embodiment of a method for setting a recommended price range.

Referring to FIG. 8, the third price range may be determined between the first price range and the second price range. For example, the first price range may be higher than the second price range, and the second price range may be higher than the first price range.

The third price range information is calculated as follows,

X may be the third price range information, S may be the competition rate of the first keyword, C may be the first price range information, and D may be the second price range information.

The third price range may be determined differently depending on the competition rate of the first keyword. The competition rate of the first keyword may have a value between 0 and 1. For example, if the first price range is more than 5,000 won and less than 10,000 won, the second price range is more than 30,000 won and less than 40,000 won, and the competition rate is 0.3, the third price range is (first price range) * 0.7 + (second price range) )*0.3, it can be determined to be more than 12,500 won and less than 19,000 won.

Since the first keyword is a keyword with low competition, the purchasing patterns of incoming searchers may be relatively less important compared to all buyers. Therefore, considering the purchase propensity of all buyers and the purchase propensity of buyers who flowed in with the first keyword, the lower the competition rate, the lower the purchase propensity of buyers who flowed in with the first keyword are considered, and the higher the competition rate, the lower the purchase propensity of buyers who flowed in with the first keyword are considered. 1 You can further consider the purchasing tendencies of buyers who came in through keywords. Therefore, based on the above equation, as the competition rate is lower, the third price range can be formed closer to the first price range, and as the competition rate is higher, the third price range can be formed closer to the second price range.

Referring again to FIG. 3, the server can select a second keyword and provide the second keyword (S380). For example, the server may obtain search history information including words searched by searchers who searched for the first keyword from the open market server. For example, based on the search history information, the server may select a second keyword from among keywords searched by searchers who searched for the first keyword before searching for the first keyword. For example, the second keyword may be a keyword with the highest search volume among keywords that are related to the first keyword and the number of products searched during a search is less than or equal to a preset first threshold. For example, the server may provide the second keyword to the user terminal.

The second keyword may be a search word that has some overlapping letters with the first keyword. Alternatively, the second keyword may include an English word that has the same meaning as some Korean word of the first keyword. Alternatively, the second keyword may include a Korean word that has the same meaning as some foreign language words of the first keyword.

Products sold in the open market may be associated with at least one keyword. For example, a product may have “height-adjustable monitor stand” as its first keyword and another keyword as its second keyword. Next, an embodiment of a method for selecting a second keyword is described.

Figure 9 is a diagram illustrating an example of a second keyword selection method.

Referring to Figure 9, the user may have performed several other searches before searching for a height-adjustable monitor stand. For example, when a user performs a search to purchase a product that comes to mind, the exact name of the product is often unknown, so the user may attempt various searches related to the keyword. Among these, there may be keywords for which few products are found or no products are found at all when searched. In this specification, in order to attract searchers who are leaked due to search words related to the keyword but for which the product is not accurately searched, the product is rarely searched among keywords similar to the first keyword searched by users before the first keyword search. The keyword can be set as the second keyword.

For example, before searching for a height adjustable monitor stand, a user may have searched for monitor height adjuster, monitor that goes up, standing desk, monitor that raises and lowers, monitor that rises electrically, electric monitor, monitor that moves, etc. Since not all search terms searched before the height-adjustable monitor stand search can be considered related search terms, the server removes words that have some overlap with "height-adjustable monitor stand" among the keywords searched before the height-adjustable monitor stand search. 2 Can be set as a candidate group for keywords. For example, for a monitor height adjuster, a monitor that goes up, a monitor that goes up and down, a monitor that goes up electrically, an electric monitor, and a moving monitor, the terms “height-adjustable monitor stand” and “monitor” overlap, and a standing desk uses “stand” in English. If you translate it as "desk", it becomes a foreign word for stand, so standing desk could also be a candidate for the second keyword if you searched for it before searching for height-adjustable monitor stand.

The server may select, from among the candidates for the second keyword, products for which the number of products searched when searching for the corresponding keyword is less than or equal to a preset number (for example, a first threshold). The server may select the keyword with the highest search volume among the selected products as the second keyword.

The server may provide the selected second keyword to the user terminal.

Referring again to FIG. 3, the server may provide a warning message (S390). For example, the server may obtain price information of a product that the user wants to sell from the user terminal. For example, the server may provide a warning message to the user terminal based on the difference between the price of the product the user wants to sell and the third price range information by more than a preset second threshold.

Figure 10 is a diagram illustrating an embodiment of a method for transmitting a warning message.

Referring to Figure 10, the warning message may include one of the following text: “The price is a bit high,” “The price is too high,” “The price is a bit low,” and “The price is too low.” The server may obtain price information of the product that the user wants to sell from the user terminal, and the price of the product that the user wants to sell is a preset value (e.g., a second threshold value) than the third price range information. ) Based on the difference, a warning message can be provided.

For example, if the third price range is between 12,500 won and 19,000 won or less, and the second threshold is 10%, the server may provide a “price is too low” warning message to the user terminal if the price is 11,250 won or less. You can. For example, if the price exceeds 20,900 won, the server may provide a warning message saying “the price is too high” to the user terminal.

For example, if the price is above 11,250 won and below 12,500 won, the server may provide a warning message saying “the price is somewhat low” to the user terminal. For example, if the price is above 19,000 won but below 20,900 won, the server may provide a warning message saying “the price is somewhat high” to the user terminal.

For convenience of explanation, the product categories are described as office supplies and monitor stands, and the first keyword is described as height-adjustable monitor stand. However, this is only an example, and the product categories, keywords, and products are not limited thereto. This specification is not about a specific product category or product, but only about a method of extracting keywords for a product from all possible products and setting the price range and second keyword of the product based on this, and is not related to any one product category or product. is not limited to

Some of the detailed steps shown in the example of FIG. 3 may not be essential steps and may be omitted. Other steps may be added in addition to those shown in FIG. 3, and the order of the steps may vary. Some of the above steps may have their own technical meaning.

A method of providing an open market operation management support service performed by at least one server, comprising: obtaining information about a product category that a user wants to sell from a user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; Selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. Obtaining information; and providing the first keyword, first price range information, and second price range information to the user terminal.

The plurality of keywords related to the product may include related search words related to the product category, homonyms for the product category, and words of upper and lower concepts of the product category.

The competition rate may be determined based on the number of products searched when searching for the keyword compared to the search volume of the keyword.

Obtaining, by the server, search history information including words searched by searchers who searched the first keyword from the open market server; Based on the search history information, searchers who search for the first keyword select a second keyword from among keywords searched before searching for the first keyword, and the second keyword is A step of selecting a keyword with the highest search volume among keywords that are related and the number of products searched during a search is less than or equal to a preset first threshold; And it may further include providing the second keyword to the user terminal.

The second keyword may be a search word that has some overlapping letters with the first keyword. Alternatively, the second keyword may include an English word that has the same meaning as some Korean word of the first keyword. Alternatively, the second keyword may include a Korean word that has the same meaning as some foreign language words of the first keyword.

The server further includes providing third price range information to the user terminal, wherein the third price range information is calculated based on the first price range information and the second price range information, and the third price range information is It may be determined between the first price range information and the second price range information based on the competition rate of the first keyword.

The competition rate of the first keyword is calculated as follows,

S may be the competition rate of the first keyword, A may be the number of products searched when searching for the first keyword, B may be the search volume of the first keyword, and K may be a correction constant.

The third price range information is calculated as follows,

X may be the third price range information, S may be the competition rate of the first keyword, C may be the first price range information, and D may be the second price range information.

Obtaining, by the server, price information of a product that the user wants to sell from the user terminal; And it may further include providing a warning message to the user terminal based on whether the price of the product the user wants to sell differs from the third price range information by more than a preset second threshold.

Operations according to embodiments of the present specification can be implemented as a computer-readable program or code on a computer-readable recording medium. Computer-readable recording media include all types of recording devices that store data that can be read by a computer system. Additionally, computer-readable recording media can be distributed across networked computer systems so that computer-readable programs or codes can be stored and executed in a distributed manner.

The technical features of the present specification described above can be applied to various devices and methods. For example, the technical features of the present specification described above can be performed/supported through the device of FIG. 1 and/or FIG. 2. For example, the technical features of the present specification described above may be applied only to parts of FIG. 1 and/or FIG. 2. For example, the technical features of the present specification described above may be implemented based on the processor 220 and DB 230 (or memory) of FIG. 2. For example, in the device of the present specification, the device includes a memory and a processor operably coupled to the memory, wherein the processor receives information about the product category that the user wants to sell from the user terminal. obtain; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; Selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. obtain information; And it may be set to provide the first keyword, first price range information, and second price range information to the user terminal.

The technical features of this specification may be implemented based on CRM (computer readable medium). For example, the CRM proposed by this specification includes at least instructions based on execution by at least one processor of a station (STA) of a wireless local area network (WLAN) system. A computer readable medium comprising: obtaining information about a product category that a user wants to sell from a user terminal; extracting a plurality of keywords related to the product category; selecting a first keyword with the lowest competition rate among the plurality of keywords; Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products; selecting excellent products including the top 10 products with the highest scores; Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product; From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. Obtaining information; and an instruction for performing an operation including providing the first keyword, first price range information, and second price range information to the user terminal.

Instructions stored in the CRM of this specification may be executed by at least one processor. At least one processor related to CRM of this specification may be the processor 220 of FIG. 2. Meanwhile, the CRM of this specification may be the DB 230 of FIG. 2 or a separate external memory/storage medium/disk, etc.

Operations according to embodiments of the present specification can be implemented as a computer-readable program or code on a computer-readable recording medium. Computer-readable recording media include all types of recording devices that store data that can be read by a computer system. Additionally, computer-readable recording media can be distributed across networked computer systems so that computer-readable programs or codes can be stored and executed in a distributed manner.

When the embodiment is implemented in software, the above-described techniques may be implemented as modules (processes, functions, etc.) that perform the above-described functions. Modules are stored in memory and can be executed by a processor. Memory may be internal or external to the processor and may be connected to the processor by a variety of well-known means.

Additionally, computer-readable recording media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Program instructions may include not only machine language code such as that created by a compiler, but also high-level language code that can be executed by a computer using an interpreter, etc.

Although some aspects of the invention have been described in the context of an apparatus, it may also refer to a corresponding method description, where a block or device corresponds to a method step or feature of a method step. Similarly, aspects described in the context of a method may also be represented by corresponding blocks or items or features of a corresponding device. Some or all of the method steps may be performed by (or using) a hardware device, such as a microprocessor, programmable computer, or electronic circuit, for example. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

In embodiments, a programmable logic device (e.g., a field programmable gate array) may be used to perform some or all of the functionality of the methods described herein. In embodiments, a field programmable gate array may operate in conjunction with a microprocessor to perform one of the methods described herein. In general, the methods are preferably performed by some hardware device.

The various embodiments described above may be embodied in other specific forms without departing from the technical idea and essential features. Accordingly, the above detailed description should not be construed as restrictive in all respects and should be considered illustrative. The scope of the various embodiments should be determined by a reasonable interpretation of the appended claims, and all changes within the equivalent scope of the various embodiments are included in the scope of the various embodiments. In addition, claims that do not have an explicit reference relationship in the patent claims can be combined to form an embodiment or included as a new claim through amendment after filing.

Claims (1)

In a method of providing keywords for product management and sales in an open market performed by at least one server,
Obtaining information about the product category that the user wants to sell from the user terminal;
extracting a plurality of keywords related to the product category;
selecting a first keyword with the lowest competition rate among the plurality of keywords;
Calculating scores for products searched when searching for the first keyword, wherein the scores are calculated based on information related to the number of reviews related to the products, the number of purchases of the products, and the delivery period of the products;
selecting an excellent product representing the top 10 products with the highest score;
Obtaining, from an open market server, information related to a first age group about the age group of searchers who searched the first keyword and information related to a second age group about the age group of buyers who purchased the excellent product;
From the open market server, first price range information, which is price range information of products most frequently purchased by the first age group in the product category, and second price range information, which is price range information of products most frequently purchased by the second age group in the product category. Obtaining information; and
Comprising the step of providing the first keyword, first price range information, and second price range information to the user terminal,
Obtaining search history information including words searched by searchers who searched for the first keyword from the open market server;
Based on the search history information, searchers who search for the first keyword select a second keyword from among keywords searched before searching for the first keyword, and the second keyword is related to the first keyword. A step of selecting a keyword with the highest search volume among keywords in which the number of products searched during a search is less than or equal to a preset first threshold; and
Further comprising providing the second keyword to the user terminal,
How to provide keywords for product management and sales in the open market.