WO2022080701A1

WO2022080701A1 - Method for recommending keyword using exposure index, and device therefor

Info

Publication number: WO2022080701A1
Application number: PCT/KR2021/013150
Authority: WO
Inventors: 유용석
Original assignee: 한국정보공학 주식회사
Priority date: 2020-10-15
Filing date: 2021-09-27
Publication date: 2022-04-21
Also published as: KR20220049796A; KR20230170879A

Abstract

Disclosed are a method for recommending a keyword using an exposure index, and a device therefor, the device for recommending a keyword using an exposure index comprising: a communication unit which exchanges data with at least one market platform, and communicates with a seller terminal used by a seller; a storage unit which stores product information of products sold online by the seller through the market platform; and a control unit which, by using a keyword selected for an arbitrary target product among the products sold online by the seller through the market platform, searches for the target product on an online market serviced by the market platform, checks the exposure location of the target product in the search results, and computes an exposure index of the selected keyword according to the checked exposure location.

Description

Search term recommendation method using exposure index and device therefor

The embodiments disclosed in the present specification provide a numerical guide to calculating and guiding the possibility of exposure to purchasers for each search word for a product that a seller intends to sell, and a search term that can increase the likelihood that the product will be exposed to a prospective purchaser to the seller. It relates to a search term recommendation method using an exposure index suggested and recommended, and a device for the same.

Every year, online shopping transaction volume is renewing the highest. The types and number of products distributed online are steadily increasing, and this increase is occurring across all product groups.

Accordingly, many sellers sell their products through online markets. In particular, when products are sold through an already popular online marketplace, the cost and effort required for the establishment and maintenance of the online shopping mall can be saved, and the publicity cost for promoting the shopping mall or product can be minimized. Selling products through popular online marketplaces has low entry barriers, even for small businesses. Accordingly, many sellers are selling their products through well-known online marketplaces such as open markets or social commerce.

On the other hand, product sellers generally register and sell the same product in several online marketplaces at the same time rather than selling products through only one online marketplace. This is because selling products through multiple marketplaces can help them achieve more sales.

However, it takes a lot of time and effort to repeatedly register and manage the same product in different online marketplaces. Accordingly, integrated management services have emerged to allow product sellers to classify and manage products registered in multiple marketplaces by product and to easily identify product sales in each marketplace. In other words, it manages product information registered in a plurality of marketplaces, allows revisions to be updated at once, and collects and organizes the sales status of each product in each marketplace, allowing sellers to view each marketplace at a glance. Services are provided so that you can check the sales status within the company.

Korean Patent Application Laid-Open No. 10-2020-0091128, “Shopping Mall Integrated Management System” describes improving work efficiency by saving labor costs and working time by collectively registering and managing sales products in multiple shopping mall servers.

However, these prior art services merely simplify the seller's product management procedurally by allowing the seller to register or update product information in each marketplace as set by the seller, and compare the seller's product with other sellers' products. It does not provide an active purchase incentive to make more sales at a time.

Accordingly, conventional integrated management services do not help to secure the competitiveness of sellers in an online marketplace of unlimited competition in which product information is transparently disclosed.

Therefore, there is a need for a technique for solving the above-mentioned problems.

On the other hand, the above-mentioned background art is technical information that the inventor possessed for the purpose of derivation of the present invention or acquired during the derivation process of the present invention, and it cannot be said that it is necessarily known technology disclosed to the general public before the filing of the present invention. .

The embodiments disclosed in this specification provide a method for recommending a search term using an exposure index and an apparatus for quantifying information on exposure positions of seller products according to search terms and market types as an integrated management service of an online marketplace, and providing sellers with the same. It is intended to present

Embodiments disclosed in the present specification provide a method and apparatus for recommending a search word using an exposure index for calculating an exposure index for each search word and recommending a search word capable of increasing the sales volume of a seller's product based on the calculation.

As a technical means for achieving the above-described technical problem, according to one embodiment, the search word recommendation device using the exposure index includes a communication unit that exchanges data with one or more market platforms and communicates with the seller terminal used by the seller, the seller A storage unit for storing product information of each product sold online through the market platform, and a search term selected for a target product from among products sold by the seller online through the market platform It may include a control unit that searches for the target product in a serviced online market, checks the exposure location of the target product in the search result, and calculates an exposure index of the selected search word according to the confirmed exposure location.

According to another embodiment, the search word recommendation method using the exposure index is performed by a search word recommendation device that exchanges data with one or more market platforms and communicates with the seller terminal used by the seller, and the seller is online through the market platform Searching for the target product in an online market serviced by the market platform using a selected search term for any target product among the products to be sold, confirming the exposure location of the target product in the search results, Based on the exposure position of the target product, calculating the exposure index of the selected search word, and may include the steps of storing the calculated exposure index in association with the target product and the selected search word.

According to another embodiment, in a computer-readable recording medium in which a program for performing a search word recommendation method using an exposure index is recorded, the search word recommendation method exchanges data with one or more market platforms and communicates with the seller terminal used by the seller. Searching for the target product in an online market serviced by the market platform, performed by a search word recommendation device, and using a search term selected for any target product among products sold online by the seller through the market platform , confirming the exposure position of the target product in the search result, calculating the exposure index of the selected search word based on the identified exposure position of the target product, and comparing the calculated exposure index with the target product It may include the step of storing in association with the selected search word.

According to another embodiment, in the computer program stored in the medium to perform the search word recommendation method and performed by the search word recommendation device using the exposure index, the search word recommendation method exchanges data with one or more market platforms, and the seller It is performed by a search word recommendation device that communicates with the seller terminal used, and the seller uses the selected search word for any target product among the products sold online through the market platform in the online market serviced by the market platform. Searching for a target product, confirming the exposure position of the target product in the search results, calculating the exposure index of the selected search word based on the confirmed exposure position of the target product, and the calculated exposure index It may include the step of storing in association with the target product and the selected search word.

According to any one of the above-mentioned problem solving means, as an integrated management service of the online marketplace, information on the exposure location of the seller's product according to the search word and market type is digitized and provided to the seller. device can be presented.

Embodiments disclosed in the present specification may provide a search word recommendation method using an exposure index for calculating an exposure index for each search word and recommending a search word capable of increasing the sales volume of a seller's product based on the method and an apparatus therefor.

Effects obtainable in the disclosed embodiments are not limited to the above-mentioned effects, and other effects not mentioned are clear to those of ordinary skill in the art to which the embodiments disclosed from the description below belong. can be understood clearly.

1 is a block diagram illustrating a network configuration including a search word recommendation device using an exposure index according to an embodiment.

2 is a block diagram illustrating a schematic configuration of a search word recommendation apparatus using an exposure index according to an exemplary embodiment.

3 is a flowchart illustrating a method of calculating the exposure index by the search word recommendation device using the exposure index step by step.

4 is an exemplary diagram illustrating an example of calculating the exposure index according to the grade by the method of calculating the exposure index shown in FIG. 3 .

5 is a flowchart illustrating a search word recommendation method using an exposure index step by step according to an embodiment.

Hereinafter, various embodiments will be described in detail with reference to the accompanying drawings. The embodiments described below may be modified and implemented in various different forms. In order to more clearly describe the characteristics of the embodiments, detailed descriptions of matters widely known to those of ordinary skill in the art to which the following embodiments belong are omitted. In addition, in the drawings, parts irrelevant to the description of the embodiments are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a component is said to be "connected" with another component, it includes not only the case where it is 'directly connected', but also the case where it is 'connected with another component in between'. In addition, when a component "includes" a component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

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

1 is a block diagram showing a network configuration including a search word recommendation device using an exposure index according to an embodiment, and FIG. 2 is a block diagram showing a schematic configuration of a search word recommendation device using an exposure index according to an embodiment It is also

The system 10 including the search word recommendation device 100 according to an embodiment includes one or more seller terminals 200 and one or more market platforms 300 in addition to the search word recommendation device 100 .

Here, the search term recommendation device 100 is an integrated management service that allows sellers to integrate and manage information on products sold by sellers in an online marketplace serviced by the market platform 300 (hereinafter referred to as an 'online market'). provides For example, the integrated management service may include enabling the search term recommendation device 100 to generate and manage product information for each product handled by sellers, and to automatically register and update each product information in the online market. can

To this end, the search term recommendation device 100 collects account information of the seller account created by each seller on the market platform 300, and uses this to access each online market on behalf of the seller to register or update product information. there is.

Here, product information includes a unique identifier given to a product, product name, product image, product thumbnail image, product description, product seller information, product manufacturer information, keywords related to the product, category information to which the product belongs, etc. may include

The search word recommendation apparatus 100 may provide a user interface for product information input to the seller in order to directly receive data included in the product information from the seller. In this case, the user interface may include an input field for inputting each data included in the product information separately.

In addition, the search term recommendation apparatus 100 may collect product information by crawling the sales page of the corresponding product for product information that the seller has already registered in the market platform 300 . Furthermore, product information may be collected by using the seller's online market account information to crawl product information registered for the seller after the search term recommendation device 100 accesses the market platform 300 .

In addition, the search word recommendation device 100 may register the collected product information in several different market platforms 300 or update product information already registered in the market platform 300 based on the collected product information. In this case, the search word recommendation apparatus 100 may use the account information of the seller in each online market to access the seller on behalf of the seller, and then register or update product information.

To this end, the search word recommendation apparatus 100 may exchange data with the seller terminal 200 and the market platform 300 through the network N, respectively.

The search word recommendation apparatus 100 may be composed of an information processing apparatus constituting a server of a typical server-client system, or a group of information processing apparatuses.

On the other hand, the seller terminal 100 is a user terminal used by sellers, and is connected to a remote server through the network N, or connected to other terminals and servers. can be implemented. Here, the computer includes, for example, a laptop, a desktop, and a laptop equipped with a web browser, and the portable terminal is, for example, a wireless communication device that ensures portability and mobility. , PCS (Personal Communication System), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), GSM (Global System for Mobile communications), IMT (International Mobile Telecommunication)-2000, CDMA (Code) All kinds of handhelds such as Division Multiple Access)-2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro), Smart Phone, Mobile Worldwide Interoperability for Microwave Access (WiMAX), etc. It may include a (Handheld)-based wireless communication device. In addition, the television may include IPTV (Internet Protocol Television), Internet TV (Internet Television), terrestrial TV, cable TV, and the like. Furthermore, a wearable device is, for example, a type of information processing device that can be worn directly on the human body, such as a watch, glasses, accessories, clothes, shoes, etc. can be connected with

A client program such as a web browser or an application program communicating with the search word recommendation device 100 may be installed in the seller terminal 200 to receive the integrated management service provided by the search word recommendation device 100 described above, and the seller The terminal 200 may exchange data with the search word recommendation apparatus 100 through this.

Furthermore, the market platform 300 is composed of a device or a group of devices that provide an online market, and may be operated by an entity that provides services such as a general open market or social commerce. The market platform 300 provides product information of the seller's product to the buyers so that a plurality of sellers and a plurality of buyers can each sell and buy the product through the online market, and the product through payment according to the purchaser's purchase intention of purchases, and can provide services such as inquiry of purchase details or tracking of delivery.

Users may join and access the market platform 300 as a general buyer or seller by using account information divided into a buyer account and a seller account, respectively.

In particular, sellers may register product information of a product they want to sell in the corresponding online market according to a method required by the market platform 300 so that the product is sold. Specifically, the market platform 300 may provide a user interface for product information registration so that the seller can input various types of information included in the product information. An input field for inputting various types of data included in the product information is provided in the user interface, and the seller can register the product information by entering data corresponding to each input field.

Accordingly, the market platform 300 may generate a sales page of a product in which product information is registered, for example, a web page having a URL unique to only the corresponding product, and provide it to the buyers.

In this case, buyers can search for a product by accessing the online market using a purchaser terminal (not shown), inputting a search word related to a desired product, and requesting a search result from the market platform 300 .

Accordingly, the market platform 300 provides, as a search result, a web page generated by listing objects such as each object hyperlinked to a product sale page of products related to the search term, for example, a thumbnail image of a product or a product name to the buyer. can provide

In addition, the buyer may access the sale page of the product by selecting an object hyperlinked to the sale page of the specific product from the search result.

In this case, the product information registered in the market platform 300, like product information registered in the search word recommendation device 100, is a unique identifier given to a product, a product name, an image of the product, a thumbnail image of the product, and description of the product. , may include seller information of the product, manufacturer information of the product, keywords related to the product, category information to which the product belongs, and the like.

Meanwhile, referring to FIG. 2 , looking at the specific configuration of the search word recommendation device 100 , the search word recommendation device 100 includes a storage unit 110 for storing product information of each product that the seller sells online through the market platform 300 . ) is included. The storage unit 110 may store account information for each online market of each seller, product information of products handled by the seller, and the like.

For example, if one seller has a seller account in the online market of company N, the online market of company C, and the online market of company W, the account information of each of the seller accounts of the three online markets will be registered in the storage unit 110 . can In this case, the account information may be encrypted.

In addition, product information for each product handled by the seller may be stored in the storage unit 110 . In this case, a unique identifier is assigned to each product, and the unique identifier thus assigned may be included in the product information. Further, a unique identifier given by each market platform 300 for the corresponding product may also be stored together in one product information.

For example, for one type of product handled by one seller, the unique identifier given by N's online market is '1234', the unique identifier given by C's online market is 'abcd', and W's online market If the unique identifier given in is '1a2b', each unique identifier '1234', 'abcd', and '1a2b' is stored in one product information in a way that can identify that it is the account information of Company N, Company C, and W, respectively. can be

Various types of data such as files, applications, and programs may be installed and stored in the storage unit 110 . The control unit 130 to be described later may access and use data stored in the storage unit 110 , or may store new data in the storage unit 110 . Also, the control unit 130 may execute a program installed in the storage unit 110 . A program for performing a search word recommendation method using the exposure index may be installed in the storage unit 110 .

Also, the search word recommendation apparatus 100 may include a market platform 300 and a communication unit 120 that communicates with the seller terminal 300 , respectively.

The communication unit 120 may perform wired/wireless communication with other devices or networks. To this end, the communication unit 120 may include a communication module that supports at least one of various wired and wireless communication methods. For example, the communication module may be implemented in the form of a chipset.

The wireless communication supported by the communication unit 120 may be, for example, Wireless Fidelity (Wi-Fi), Wi-Fi Direct, Bluetooth, Ultra Wide Band (UWB), or Near Field Communication (NFC). In addition, the wired communication supported by the communication unit 120 may be, for example, USB or High Definition Multimedia Interface (HDMI).

In addition, the search word recommendation apparatus 100 may include the control unit 130 . The controller 130 specifically controls the overall operation of the search word recommendation apparatus 100, and may include a processor such as a CPU. The controller 130 may control other components included in the search word recommendation apparatus 100 to perform an operation corresponding to the seller's request received through the communication unit 120 .

For example, the controller 130 may execute a program stored in the storage 110 , read a file stored in the storage 110 , or store a new file in the storage 110 .

In particular, the controller 130 may search for a target product in the online market serviced by the market platform 300 by using a search term selected for any target product among products that the seller sells online through the market platform 300 . there is. In addition, the controller 130 may check the exposure position of the target product in the search result, and calculate the exposure index of the selected search word according to the confirmed exposure position.

Here, the target product may be any product among products sold by the seller in the online market.

And here, the exposure index is a number calculated based on the specific location where the seller's target product is exposed in the search results when a product is searched for using a specific search term in an online market, and the target product is relatively When it is preferentially exposed as , it can be calculated to have a larger value than when exposed with a lower priority.

In this case, the exposure index is calculated for the target product of a specific seller, and is especially calculated in relation to a pre-selected search term. That is, for example, when product B sold by seller A is searched for in a specific online market where product B is sold, and a product search is performed using a pre-selected search term C, among a plurality of products to be searched for, B An exposure index may be calculated based on information on a specific location where the product is exposed. That is, the exposure index can be calculated in relation to the seller, the product, and the search term in a specified state.

Here, the exposure position is information about the page number on which the target product is exposed and the arrangement ranking of the target product on the page where the target product is exposed in the search result received by performing a search in an arbitrary online market using a specific search term. may include

For example, when a search is performed in a specific online market using the search term 'long-sleeved T-shirt', the search results may be provided in a form in which 20 products per page are arranged in a total of 10 pages. At this time, if the target product for which the exposure index is to be calculated is arranged as the 7th product on page 3, the exposure position of the target product may be the 7th ranking on page 3

As such, the exposure position may include information about a page number and an arrangement order.

And the exposure index calculated at this time is for the search term 'long-sleeved T-shirt', and is calculated for the seller who sells the target product. In addition, the exposure index can be calculated for each online market.

In this case, as described above, the controller 130 searches for a target product using the corresponding search word in the online market first in order to calculate the exposure index for the specific search word. In this case, the search for the target product may be performed in such a way that the controller 130 accesses the online market, enters a pre-selected search word in a search window of the online market, and transmits a search request to the market platform. In addition, the control unit 130 confirms the exposure location of the target product by identifying the location including the hyperlinked object from the search result webpage received from the market platform 300 to the sales webpage of the target product as a response to the search request. can

For example, the seller is a person who sells clothing, and a plurality of types of T-shirts are sold in a specific online market. Among them, the search term 'long-sleeved T-shirt' is used for a red T-shirt corresponding to the unique identifier '1357'. to check the exposure index when performing a search, the control unit 130 may access the corresponding online market, enter 'long-sleeved T-shirt' in the search box, and send a search request to the market platform 300 .

In addition, the market platform 300 arranges 198 products searched for with the search term 'long-sleeved T-shirt' in a unique way so that 20 products are arranged per page, and transmits the generated web page to the search term recommendation device 100 as a search result. can

Accordingly, the control unit 130 sequentially checks the 10 search result web pages, and an object hyperlinked to a sales page of a red T-shirt product corresponding to the unique identifier '1357', for example, a thumbnail image of a red T-shirt product or It is possible to check how many pages of text corresponding to the product name or a combination thereof are arranged on the number of pages of the search result.

In this case, the unique identifier of the product may be included as a parameter in the URL of the sales page linked to the corresponding hyperlink object, or may be included as product information in the sales page.

And, with respect to the target product for which the exposure index of the selected search word is to be calculated, the controller 130 may calculate an exposure index corresponding to the selected search word based on the exposure position of the target product confirmed in the search result.

In this case, the controller 130 may first perform a process of selecting a search word for calculating an exposure index prior to searching for a target product using the search word. For example, the controller 130 may select a keyword for calculating an exposure index by selecting one of a keyword, a combination of keywords, or synonyms of a keyword included in product information of a target product. For example, the control unit 130 selects 'long-sleeved t-shirt', which is a combination of 't-shirt' and 'long-sleeved', as a search term among a plurality of keywords included in the product information of the seller's red T-shirt product, and sets the corresponding exposure index. can be calculated.

In selecting a search word for calculating the exposure index as described above, the controller 130 may refer to the type of product, the category of the product, the description of the product, or a keyword tagged to the product, in particular within the product information.

Alternatively, as another example, the control unit 130 may select or receive a search word for calculating the exposure index from the seller terminal 200 of the target product.

Accordingly, the control unit 130 may calculate by dividing the exposure index for each online market and each search word for a specific target product.

In this case, the controller 130 may use the following formula in calculating the exposure index.

Exposure index A = ((T-R)*(100/T)) + ((N-P+1)/N*(100/T))

Here, T is the total number of grades, R is the grade to which the target product belongs, N is the total number of products belonging to the grade to which the target product belongs, and P may represent the rank of the target product in the grade to which the target product belongs.

In order to calculate the exposure index in this way, in the storage unit 110, an exposure rating system for each online market may be determined in advance. The exposure rating system may be information on criteria for assigning grades to products based on the exposure position of the product, that is, the page number on which the product is exposed, and the ranking in which the products are arranged in the corresponding page. For example, in a specific online market, all products are divided into a total of 7 grades, and the grade corresponding to the page number, such as grade 1 for products exposed on page 1, grade 2 for products exposed on page 2, etc., is assigned to the product. However, the exposure rating system may be set in advance so that all products after page 7 are classified into seven grades.

As another example, in other online markets, a total of 4 grades are given to all products, but only the top 5 products on page 1 are graded 1, and products below the top 5 products on page 1 are graded 2, The exposure rating system may be set so that products with 2 pages or less are given a grade of 3, and products arranged on pages 3 or less are given a grade of 4. As such, the exposure rating system may be set in various ways, and may be set differently according to the characteristics of each online market. For example, the number of products arranged on each page in the search results may be considered.

Accordingly, the controller 130 may check the grade R for the search term of the target product with reference to the exposure rating system stored in the storage 110 and the exposure location of the target product checked in the search result.

In addition, the controller 130 may check the rank P of the target product with respect to the total number N of products to which the corresponding product belongs to the corresponding grade with reference to the exposure rating system and the exposure location of the target product.

In an online market where a total of 15 products are arranged on each page of the search results, a total of 4 grades are given to all products, but only the top 5 products on a page are given a grade of 1, and less than the top 5 products on a page A case of using the exposure rating system in which grades 2 is given to the products in , grades 3 to products arranged on page 2 and grade 4 to products arranged on page 3 or less is used is described as an example. When the target product is arranged in the seventh position on page 1, the controller 130 may assign a second grade to the target product. That is, T may be 4 and R may be 2.

And, since the target product is the second product among a total of 10 products belonging to the second grade, N may be 10 and P may be 2.

Accordingly, the exposure index A=((4-2)*(100/4)) + ((10-2+1)/10*(100/4)), that is, 72.5.

At this time, in the formula for calculating the exposure index A, the front end, that is, ((T-R)*(100/T)) is determined by the grade to which the target product belongs, and is a basic score having the same value for all products of the same grade. And the rear end of the formula, that is, the ((N-P+1)/N*(100/T)) part is a differential score that is determined differently according to the specific ranking in which the target product is arranged within the corresponding grade.

That is, in calculating the exposure index based on the exposure position of the target product in the search result of performing a search in a specific online market with the selected keyword, the control unit 130 sets the exposure index differently depending on the page number and the arrangement order on which the product is exposed It is possible to check the exposure grade of the target product based on the exposure grade system being used, and calculate the exposure index by adding the differential score according to the exposure ranking to the basic score assigned to each exposure grade.

At this time, the formula illustrated above is only an example, and the product is classified into one grade among a plurality of grades based on the exposure location where the target product is searched, and the basic score according to the grade is differentiated according to the specific ranking within the grade Various other formulas for calculating the exposure index by summing the scores may be applied.

Meanwhile, the exposure index calculated in this way can be used in various ways. The control unit 130 may provide information on the exposure index of each search word to the seller through the communication unit 120 .

When a seller who receives an integrated management service by accessing the search word recommendation device 100 browses and manages product information of a specific product he sells, the exposure index calculated for a keyword or a combination of keywords included in the product information information can be provided.

For example, when the seller reads the product information of the product A that the seller sells, the search word for which the exposure index is calculated in relation to the product A and information on the exposure index of the search word may be displayed on one side.

In this case, since the exposure index is calculated separately for each online market, information on the exposure index for each online market can be provided for a specific search word, respectively.

Also, the search word recommendation apparatus 100 may recommend a search word for a specific product to the seller using the exposure index.

In this case, first, the controller 130 may select a keyword not included in the product information of the target product for which the search term is to be recommended among the seller's products as the recommendation target search word. Here, the controller 130 may select a search word with reference to product information of a product of another seller similar to the target product.

For example, if the product information of seller A's T-shirt product B does not contain the keyword 'long sleeve' and the product information of seller C's T-shirt product D includes the keyword 'long sleeve', the controller 130 can select 'long sleeve' as a recommended target search word for product B, which is a target product.

In addition, the controller 130 may select a combination of two or more keywords including keywords not included in the product information of the target product as the recommended target search word. Furthermore, the controller 130 may select a keyword and a synonym or a similar word included in the product information of the target product as a recommended target search word.

Subsequently, the controller 130 may calculate an exposure index for each of the recommended target search words. At this time, since the recommendation target search word is not included in the product information of the target product, the controller 130 temporarily writes the recommendation target search word in the product information of the target product in order to calculate the exposure index, and an online market to calculate the exposure index It can be registered so that the corrected product information is also written in the market platform 300 of

In addition, the controller 130 may calculate an exposure index for each recommendation target search word. That is, the controller 130 may perform a search in the online market using each of the recommended target search words, and may calculate an exposure index based on the exposure location where the target product is exposed in the search result. In this case, the exposure rating system preset for each online market may be referred to.

On the other hand, the controller 130 temporarily writes the recommendation target search word in the product information of the target product for recommendation of the search word, and then deletes the recommendation target search word from the product information of the target product again when the exposure index calculation is completed.

In addition, at this time, the recommended target search word is written not only in the product information of the target product stored in the storage unit 110 of the search word recommendation device 100, but also in the product information of the target product stored in the market platform 300 of the online market, When the calculation of the exposure index is completed, the controller 130 may also update the product information of the online market so that the recommended target search word is deleted from the product information of the target product stored in the market platform 300 . To this end, the controller 130 may access the online market on behalf of the seller using the seller's account information and update product information of the seller's target product.

And when the calculation of the exposure index for each of the recommended search words is completed, the controller 130 may select the recommended search words in the order of relatively high exposure index, and recommend the recommended search words as the search words for the target product to the seller.

For example, among the recommended search words A, B, C, D, and E, A, C, and D, which have a relatively high exposure index, may be provided to the seller as a recommended search word for the target product.

When the seller reads the product information of the target product, the controller 130 may provide a list of recommended search words on one side of the product information of the target product. In this case, the list of recommended search words includes one or more recommended search words, and when the seller selects one of them, the controller 130 may allow the selected recommended search word to be additionally written in product information of the target product.

That is, when an additional request for the selected recommended search word is received from the seller terminal 200 , the controller 130 additionally writes the additionally requested recommended search word in the product information of the target product, and also the product information registered in the market platform 300 . Can be updated.

Hereinafter, a method of calculating an exposure index using the above-described search word recommendation apparatus 100 and a method of recommending a search word will be described in stages.

3 is a flowchart illustrating a method for calculating the exposure index by the search word recommendation device using the exposure index step by step, and FIG. 4 is a method for calculating the exposure index according to the grade by the method of calculating the exposure index shown in FIG. It is an exemplary diagram illustrating an example, and FIG. 5 is a flowchart illustrating a search word recommendation method using an exposure index step by step according to an embodiment.

The method for calculating the exposure index and the method for recommending a search word according to the embodiments shown in FIGS. 3 and 5 include steps of time-series processing by the search word recommendation apparatus 100 shown in FIGS. 1 and 2 . Therefore, even if omitted below, the contents described above with respect to the search word recommendation apparatus 100 shown in FIGS. 1 and 2 are the exposure index calculation method and the search word recommendation method according to the embodiments shown in FIGS. can also be applied to

As shown in FIG. 3 , the search word recommendation apparatus 100 may first specify a target product for calculating an exposure index, and select a search word for which an exposure index is to be calculated in response to the target product ( S300 ).

Here, the target product may be any one of the seller's products that the seller sells in the online market and whose product information is already registered in the integrated management service provided by the search word recommendation device 100 .

In step S300 , the search word recommendation apparatus 100 may select a keyword or a combination of keywords included in the product information of the target product, or a synonym or similar word of the keyword as a search word for calculating the exposure index. Alternatively, the search word recommendation device 100 is not included in the product information of the target product according to the purpose of calculating the exposure index, but is included in the product information of other sellers' products similar to the target product. Synonyms or similar words can be selected as search terms.

The search word recommendation device 100 then accesses each of the specific online market or all online markets where the target product is sold, which is the target of the calculation of the exposure index, and enters the search term selected for the target product in the search box of the online market. A search may be performed (S310).

For example, when the target product is sold in the online market of company N and the online market of company C, the search word recommendation device 100 performs a search using a search term selected in the online market of company N once, and also in the online market of company C A search can be performed using the selected search term.

In addition, the search word recommendation apparatus 100 may check the exposure position of the target product from the search results performed respectively (S320). The search word recommendation apparatus 100 may check a web page received as a search result or a location in which target products are arranged in a search list.

For example, the search term recommendation apparatus 100 may identify a location including a hyperlink object connected to a sales web page of the target product, and the identified location includes a page number to which the target product is exposed, and the target product. Information on the ranking in which the target product is arranged in the exposed page may be included.

In this case, the target product may be distinguished from other products by the identification information given to the target product in the corresponding online market, and the search term recommendation device 100 checks the parameters in the URL address hyperlinked to the hyperlink object, or By checking the product identification information included in the sales page hyperlinked to , the identification information of the target product may be searched.

Then, when the exposure position of the target product is confirmed in the result of the search performed using the search word selected in the online market, the search word recommendation apparatus 100 may check the exposure grade of the target product according to the exposure location ( S330 ). In this case, the search word recommendation apparatus 100 may confirm the exposure grade of the target product based on the exposure grade system for the online market in which the search is performed.

The exposure rating system can be divided into five different ratings from ratings 1 to 5, for example, as shown in FIG. 4, and rating 1 is given to products exposed from the first to the 12th rank on page 1, , 2nd grade may be given to products exposed in the 13th to 40th rankings on page 1. In this way, the positions where a plurality of products are exposed in the search result can be divided into arranged pages and ranks, and exposure grades can be classified based on the separated pages and arranged ranks. At this time, the embodiment shown in FIG. 4 exemplifies a specific online market in which 40 products are arranged on one page.

The search word recommendation apparatus 100 may identify a grade corresponding to the exposure position of the searched target product based on the exposure grade system as shown in FIG. 4 . For example, when a search is performed in the online market using the selected search word, if the exposure position of the target product in the search result is the third page and fifth rank, the search word recommendation apparatus 100 sets the exposure level as shown in FIG. 4 . According to the classification criteria defined in the system, the exposure level of the search term can be determined as 3 levels.

Meanwhile, the search word recommendation apparatus 100 may calculate an exposure index based on the grade confirmed in step S330, the number of reference products included in the corresponding grade, and the exposure ranking of the target product (S340).

For example, the search word recommendation apparatus 100 may calculate the exposure index using the following equation.

Exposure index A = ((T-R)*(100/T)) + ((N-P+1)/N*(100/T))

The search word recommendation apparatus 100, for example, in the embodiment shown in FIG. 4 , when the exposure position of the target product is the 3rd page 5th rank, the exposure grade of the target product is 3rd grade, T is 5, R is 3 It can be determined to have a value of .

And in the 3rd grade, that is, the reference number of products N includes 12 products in the 1st to 12th pages of the 2nd page and 12 products in the 1st to 12th pages in the 3rd page belonging to the 3rd grade, a total of 24 products. 100) determines that N is 24.

And, since the target product is the 5th rank on page 3 and corresponds to the 17th rank among all 24 products belonging to the 3rd grade, the search term recommendation apparatus 100 may determine P as 17 and apply it to the above formula.

Accordingly, as shown in FIG. 4 , the exposure index A of the search term may be determined to be 46.66.

Of course, the formula used in step S340 is not limited to the formula exemplified above.

The search word recommendation apparatus 100 may then store the exposure index calculated in step S340 in association with the target product and the search word (S350). In addition, since the exposure index is calculated based on a search result in a specific online market, it may be separately calculated and recorded for each online market for one target product and one search word.

Afterwards, the search word recommendation device 100 provides information on the calculated exposure index to the seller, recommends a search word with a high exposure index as a search word not included in the target product, or deletes a search word with a relatively low exposure index You can suggest or substitute a different search term.

In this case, a method of the search word recommendation apparatus 100 recommending a search word based on the exposure index is illustrated in FIG. 5 .

Specifically, the search word recommendation apparatus 100 may preferentially select a recommendation target search word for a target product ( S500 ). Here, the recommendation target search word may include a keyword that is not included in the product information of the target product of the seller. In particular, the search word recommendation apparatus 100 may select a keyword included in product information of a product of another seller that is the same as or similar to the seller as a recommendation target search word.

For example, any T-shirt product sold by the seller is the target product, keywords such as '#T-shirt #red #red' are included in the product information of the target product, and '# If T-shirt #long sleeve #long sleeve #red' is included, the search term recommendation device 100 is included in the product information of other seller's products, such as 'long sleeve' or 'long sleeve', but the product of the seller's target product A keyword not included in the information may be selected as a recommended target search word.

In this case, the search word recommendation apparatus 100 may select a plurality of recommended target search words.

In addition, the search word recommendation apparatus 100 may temporarily write the recommended target search word in product information of the target product and register it in the online market (S510).

For example, when the product information of the seller's target product is '#T-shirt #red #red' and 'long sleeve' is selected as the recommended target search term, the search term recommendation device 100 is registered in the search term recommendation device 100 You can temporarily change the product information of the target product to '#T-shirt #Longsleeve #Red #Red'. In addition, the search term recommendation device 100 accesses the market platform 300 with the seller's account using the account information of the online market owned by the seller, and similarly, the product information of the target product registered in the online market. It can be updated in the same way as the registered product information.

Then, the search word recommendation apparatus 100 may calculate an exposure index of the recommended target search word with respect to the target product (S520). In this case, the method of calculating the exposure index by the search word recommendation apparatus 100 in step S520 is the same as that shown in FIG. 3 . That is, the search word recommendation device 100 selects a recommendation target search word temporarily additionally written in product information as one of the recommendation target search words selected in step S500 as a search word in step S300 of FIG. 3, and performs steps S310 to S350. can

And by repeating this process, the search word recommendation apparatus 100 may calculate all exposure indices for a plurality of recommended search words, respectively.

Subsequently, when all of the calculation of the exposure index for the recommended search word is completed through step S520, the search word recommendation device 100 deletes the recommended target search words that were temporarily added to the product information of the target product from the product information and returns to the original state. There is (S530). In this case, the search word recommendation device 100 may update the product information of the target product registered in the market platform 300 as well as the product information registered in the search word recommendation device 100 to the original state.

In addition, the search word recommendation apparatus 100 may recommend at least some of the recommendation target search words for the target product to the seller according to the calculated exposure index ( S540 ).

The search word recommendation apparatus 100 may provide the seller with a list of recommended search words having a relatively high exposure index by referring to the exposure index of the recommended search words.

And when a search word addition request for at least one selected from among the recommended search words is received from the seller terminal 200, the search word recommendation apparatus 100 writes the additionally requested search word in the product information of the corresponding target product and registers it in the online market. It can be (S560). That is, when the seller requests to add at least some of the recommended search words to the product information, the search term recommendation device 100 provides both the product information of the target product registered in the search term recommendation device 100 and the market platform 300 . You can edit it to include suggested search terms.

Accordingly, the seller can include a search term with a relatively high exposure index in the product information of the target product, so that the target product is exposed to buyers in a relatively high order in the search results, and as a result, the sales volume of the product increases can

In this case, according to an embodiment, the search word recommendation device 100 may recommend a search word that is not included in the product information of the target product, but has a relatively high exposure index, to the seller through the method shown in FIG. Among the keywords included in the product information of a product, it may be suggested to delete a search term with a relatively low exposure index, or it may be suggested to replace a search term with a relatively low exposure index with a search term with a relatively high exposure index.

The term '~ unit' used in the above embodiments means software or hardware components such as field programmable gate array (FPGA) or ASIC, and '~ unit' performs certain roles. However, '-part' is not limited to software or hardware. '~' may be configured to reside on an addressable storage medium or may be configured to refresh one or more processors. Accordingly, as an example, '~' indicates components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program patent 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 elements and '~ units' or separated from 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.

The method of calculating an exposure index and recommending a search word according to the embodiment described with reference to FIGS. 3 and 5 may also be implemented in the form of a computer-readable medium for storing instructions and data executable by a computer. In this case, the instructions and data may be stored in the form of program codes, and when executed by the processor, a predetermined program module may be generated to perform a predetermined operation. In addition, 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. In addition, the computer-readable medium may be a computer recording medium, which is a volatile and non-volatile and non-volatile storage medium implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules, or other data. It may include both volatile, removable and non-removable media. For example, the computer recording medium may include magnetic storage media such as HDD and SSD, optical recording media such as CD, DVD and Blu-ray disc, or accessible through a network. It may be memory included in the server.

In addition, the method for calculating the exposure index and recommending a search word according to the embodiment described with reference to FIGS. 3 and 5 may be implemented as a computer program (or computer program product) including instructions executable by a computer. The computer program includes programmable machine instructions processed by a processor, and may be implemented in a high-level programming language, an object-oriented programming language, an assembly language, or a machine language. . In addition, the computer program may be recorded in a tangible computer-readable recording medium (eg, a memory, a hard disk, a magnetic/optical medium, or a solid-state drive (SSD), etc.).

Therefore, the exposure index calculation and search word recommendation method according to the embodiment described with reference to FIGS. 3 and 5 may be implemented by executing the computer program as described above by the computing device. The computing device may include at least a portion of a processor, a memory, a storage device, a high-speed interface connected to the memory and the high-speed expansion port, and a low-speed interface connected to the low-speed bus and the storage device. Each of these components is connected to each other using various buses, and may be mounted on a common motherboard or in any other suitable manner.

Here, the processor may process a command within the computing device, such as, for example, to display graphic information for providing a graphic user interface (GUI) on an external input or output device, such as a display connected to a high-speed interface. Examples are instructions stored in memory or a storage device. In other embodiments, multiple processors and/or multiple buses may be used with multiple memories and types of memory as appropriate. In addition, the processor may be implemented as a chipset formed by chips including a plurality of independent analog and/or digital processors.

Memory also stores information within the computing device. As an example, the memory may be configured as a volatile memory unit or a set thereof. As another example, the memory may be configured as a non-volatile memory unit or a set thereof. The memory may also be another form of computer readable medium, such as, for example, a magnetic or optical disk.

In addition, the storage device may provide a large-capacity storage space to the computing device. A storage device may be a computer-readable medium or a component comprising such a medium, and may include, for example, devices or other components within a storage area network (SAN), a floppy disk device, a hard disk device, an optical disk device, or a tape device, a flash memory, or other semiconductor memory device or device array similar thereto.

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

The scope to be protected through this specification is indicated by the claims described below rather than the detailed description, and it should be construed to include all changes or modifications derived from the meaning and scope of the claims and their equivalents. .

Claims

a communication unit that exchanges data with one or more market platforms and communicates with the seller terminal used by the seller;

a storage unit for storing product information of each product that the seller sells online through the market platform; And

The seller searches for the target product in the online market serviced by the market platform by using a search term selected for any target product among products sold online through the market platform, and exposes the target product in the search result A search word recommendation apparatus using an exposure index, comprising: a control unit for checking a location and calculating an exposure index of the selected search word according to the confirmed exposure location.
According to claim 1,

The control unit is

The target product is searched for by accessing the online market, sending a search request to the market platform by entering the selected search term in the search window of the online market, and receiving from the market platform as a response to the search request A search word recommendation apparatus using an exposure index for confirming the exposure location of the target product by identifying a location including a hyperlink object connected to a sales webpage of the target product in a search result webpage.
According to claim 1,

The exposure position is

In the search result, including information on the page number of the target product exposed and the arrangement ranking of the target product on the page on which the target product is exposed,

The control unit is

The exposure grade of the target product is checked based on the exposure grade system that is set differently according to the page number on which the product is exposed and the arrangement ranking, and the difference score according to the exposure ranking is added to the basic score assigned to each exposure grade to create an exposure index A search word recommendation device using the exposure index to calculate .
According to claim 1,

The control unit is

A search word recommendation apparatus using an exposure index for selecting a search word for calculating an exposure index by selecting one of a keyword, a combination of keywords, or synonyms of a keyword included in the product information of the target product.
According to claim 1,

The control unit is

Prior to searching for the target product in the online market, one or more recommended target search words for the target product are selected, at least one of the recommended target search words is selected, and the selected search word is added to the product information of the target product. fill out and register on the market platform,

After calculating the exposure index for the selected search word, the search word recommendation device using the exposure index, which selects a recommended search word in the order of relatively high exposure index among the recommended target search words, and recommends the search word to the seller.
6. The method of claim 5,

The control unit is

After calculating the exposure index for the selected search word, the search word recommendation apparatus using the exposure index, which deletes the selected search word from product information of the target product, and updates product information registered in the market platform.
7. The method of claim 6,

The control unit is

When a request to add a recommended search word is received from the seller terminal with respect to one or more of the recommended search words recommended to the seller, the additional requested search word is additionally entered in the product information of the target product, and product information registered in the market platform Search word recommendation device using exposure index to update.
It is performed by a search term recommendation device that exchanges data with one or more market platforms and communicates with the seller terminal used by the seller,

searching for the target product in an online market serviced by the market platform by using a search term selected for any target product among products sold online by the seller through the market platform;

checking an exposure position of the target product in a search result;

calculating an exposure index of the selected search word based on the identified exposure position of the target product; And

A search word recommendation method using an exposure index comprising the step of storing the calculated exposure index in association with the target product and the selected search word.
9. The method of claim 8,

The step of searching for the target product,

accessing the online market, entering the selected search term in a search window, and transmitting a search request to the market platform;

The step of confirming the exposure position,

A method of recommending a search word using an exposure index, comprising: identifying a location including a hyperlink object connected to a sales web page of the target product in a search result web page received from the market platform as a response to the search request; .
9. The method of claim 8,

The exposure position is

In the search result, including information on the page number of the target product exposed and the arrangement ranking of the target product on the page on which the target product is exposed,

Calculating the exposure index comprises:

confirming the exposure level of the target product based on the exposure rating system set differently according to the page number and the arrangement order to which the product is exposed; And

A method of recommending a search term using an exposure index, comprising the step of calculating an exposure index by adding the differential score according to the exposure ranking to the basic score allocated for each exposure grade.
9. The method of claim 8,

The search term recommendation method is,

The method of recommending a search word using an exposure index, further comprising the step of selecting a search word for a target product for which an exposure index is to be calculated by selecting one of a keyword, a combination of keywords, or synonyms of a keyword included in the product information of the target product .
9. The method of claim 8,

The search term recommendation method is,

Prior to the retrieval step,

selecting one or more recommended target search words for the target product;

selecting at least one of the recommended search words;

Further comprising; entering the selected search word in the product information of the target product and registering it in the market platform;

After the step of storing,

The method of recommending a search word using an exposure index, further comprising the step of selecting a recommended search word in an order of relatively high exposure index among the recommended target search words, and recommending the search word to the seller.
13. The method of claim 12,

The search term recommendation method is,

After calculating the exposure index for the selected search word,

The method of recommending a search word using an exposure index, further comprising: deleting the selected search word from product information of the target product and updating product information registered in the market platform.
14. The method of claim 13,

The search term recommendation method is,

In the step of recommending the search word, when a request to add a recommended search word is received from the seller with respect to one or more of the recommended search words recommended to the seller in the step of recommending the search word, the additional requested search word is additionally entered in the product information of the target product, and the market platform The method of recommending a search term using the exposure index, further comprising the step of updating the registered product information.
A computer-readable recording medium in which a program for performing the method according to claim 8 is recorded.