KR101760866B1 - Matching system for business between company and celebrity and matching method thereof - Google Patents

Matching system for business between company and celebrity and matching method thereof Download PDF

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KR101760866B1
KR101760866B1 KR1020150170163A KR20150170163A KR101760866B1 KR 101760866 B1 KR101760866 B1 KR 101760866B1 KR 1020150170163 A KR1020150170163 A KR 1020150170163A KR 20150170163 A KR20150170163 A KR 20150170163A KR 101760866 B1 KR101760866 B1 KR 101760866B1
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celebrity
matching
product
celebrities
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KR20170064390A (en
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손윤식
왕인내
오세만
김민석
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(주)스타콜라보
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/01—Social networking
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Abstract

The present invention relates to a collaborative matching system between a business and a celebrity, comprising: a product pool having product information for a company; A celebrity pool having celebrity information for a plurality of celebrities; A communication network in which the goods information and the celebrity information are transmitted from the goods pool and the celebrity pool using a computer or a communication terminal; A matching server that receives the goods information and the celebrity information from the communication network and selects a plurality of celebrities matching the goods information from the celebrity information; And a matching database for storing the matching algorithm for matching the product information and the celebrity information, and for providing the matching algorithm to the matching server, and a cooperative matching system between the company and the celebrity.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a collaborative matching system,

The present invention relates to a collaborative matching system between a company and a celebrity, and more particularly, to a collaborative matching system and a method for matching a commodity and a celebrity produced by a company for business matching between a celebrity and a corporation.

Collaboration projects between companies and celebrities are actively carried out for advertisements of products or companies. However, a matching system that matches a company with a celebrity according to the requirements of cooperation between a company and a celebrity has not yet been developed.

Meanwhile, in the case of the conventional advertisement market, the process of attracting celebrities suitable for the goods depends on the negotiation through the qualitative judgment by the advertisement agency and the offline meeting, so that the advertisement process of the advertisement model is complicated, It was difficult to find a suitable celebrity.

Therefore, the number of products that can be used to advertise celebrity models or promote marketing campaigns by celebrity recommendation is limited to a limited number, which limits the means of advertising the products of SMEs and hinders the revitalization of the national economy.

In Korean Patent Registration No. 10-0419305, a service provider makes a special paper so that it can not be falsified of a human rights certificate signed by a famous celebrity or a famous person, and provides it to a limited service user who conspired through the Internet. A system of publishing a human right using the Internet and a method thereof have been proposed which give financial value to human rights and derive the rareness and merchandise of human rights. Korean Patent Laid-Open Publication No. 10-2004-0066622 discloses a method of using personal portrait rights as a main value of a gift voucher, giving a buyer of a person's gift voucher a sense of identity with a celebrity and a fan, And a method of selling and using a person's gift certificate via the Internet, which enables the gift certificate to also serve as a lottery function, has been proposed. Korean Patent No. 10-0859350 proposes an Internet telephone service system and an Internet telephone service method using a famous character that enables Internet telephone service companies and celebrities to efficiently promote themselves.

However, the prior art disclosed in the above publications is not about a business model for profit-sharing cooperation between a company and a celebrity, and a matching system for matching business requirements between a company and a celebrity.

Korean Patent Registration No. 10-0419305 (entitled " Method for selling and using a person's gift certificate via the Internet) Japanese Patent Application Laid-Open No. 10-2004-0066622 (entitled " Internet telephone service system and Internet telephone service method using famous characters) Patent Publication No. 10-0859350 (entitled " Internet telephone service system and Internet telephone service method using a famous character ")

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a collaborative matching system for a celebrity who can select a celebrity desired by a user by extracting a similar group composed of at least one celebrity to product information, And a matching method therefor.

According to an aspect of the present invention, there is provided a product pool including product information for a company; A celebrity pool having celebrity information for a plurality of celebrities; A communication network in which the goods information and the celebrity information are transmitted from the goods pool and the celebrity pool using a computer or a communication terminal; A matching server that receives the goods information and the celebrity information from the communication network and selects a plurality of celebrities matching the goods information from the celebrity information; And a matching database for storing the matching algorithm for matching the goods information and the celebrity information, and for providing the matching algorithm to the matching server, and a collaboration matching system between the company and the celebrity.

Wherein the celebrity pool includes a plurality of similar groups of at least one celebrity from among a plurality of celebrities wherein the plurality of similar groups are determined by the association between a plurality of celebrities of the celebrity pool, The relationship is preferably determined in consideration of at least one of the celebrity information and the matching algorithm.

It is preferable that the matching server selects one celebrity corresponding to the product information among the plurality of celebrities using the matching algorithm and extracts a similar group including the one celebrity to select a plurality of celebrities Do.

Preferably, the celebrity information includes at least one of affinity information, awareness information, merchandise information, and issue information.

Also, the affinity information is determined in consideration of the number of times the celebrity is awarded and the number of illegal acts, and the awareness information is determined in consideration of the number of broadcast appearances of the celebrities, the number of fan club members, the number of the awardees, and the degree of exposure of the social network service (SNS) , The merchandise information is determined in consideration of the number of advertisements and revenue of the celebrity, and the issuance information is determined in consideration of the number of articles published to the celebrities.

Preferably, the goods information includes at least one of affinity information, awareness information, merchantability information, and issue information.

Also, the affinity information is determined in consideration of classification, price, and function of the product, and the awareness information is determined in consideration of the number of advertisements, sales volume, number of awards, and degree of exposure of the social network service (SNS) The merchantability information is determined in consideration of the number of ads and the sales volume of the same kind of goods, and the issue information is determined in consideration of the number of articles published for the same kind of goods.

In addition, the matching algorithm is preferably a multi-dimensional canonical correlation analysis between the product information and the celebrity information.

According to another aspect of the present invention, there is provided a collaborative matching method between a company and a celebrity using the collaborative matching system between the company and the celebrity described above, the celebrity information diagramming step of schematizing celebrity information for each of a plurality of celebrities; A similar group determination step of determining a similar group in which a related relationship exists with any one of a plurality of celebrities using the illustrated celebrity information; A product information display step of displaying product information on a product in a schematic form; A matching step of matching the schematized celebrity information with the schematized product information through the matching algorithm; And a similar group extracting step of extracting a similar group including the selected celebrities through the matching step.

According to the present invention, a celebrity matching with a specific product can be extracted more easily.

In addition, by selecting a group of celebrities matching a particular product, the user's choice of celebrity selection can be guaranteed.

In addition, by selecting a group of celebrities matching with a specific product, it is possible to prevent an inappropriate celebrity from being selected for a specific product.

1 is a conceptual diagram schematically showing a collaboration matching system between a company and a celebrity according to an embodiment of the present invention,
FIG. 2 is a conceptual diagram schematically showing nodes of product information and a diagram of the product information in a collaboration matching system between a company and a celebrity according to FIG. 1. FIG.
FIG. 3 is a conceptual diagram schematically showing nodes of celebrity information and schematization thereof in a collaborative matching system between a company and a celebrity according to FIG. 1,
FIG. 4 is a conceptual view schematically showing matching of nodes of commodity information and nods of celebrity information in a collaboration matching system between a company and a celebrity according to FIG. 1. FIG.
5 is a flowchart schematically illustrating a method of collaborating matching between a company and a celebrity according to an embodiment of the present invention.

Hereinafter, a collaborative matching system between a company and a celebrity according to an embodiment of the present invention and a matching method thereof will be described in detail with reference to the accompanying drawings. Like reference symbols in the drawings denote like elements.

FIG. 1 is a conceptual diagram schematically illustrating a collaboration matching system between a company and a celebrity according to an embodiment of the present invention.

Referring to FIG. 1, a collaboration matching system 100 between a company and a celebrity according to an exemplary embodiment of the present invention matches a celebrity group matching a product based on information about a user, more specifically, And includes a product pool 110, a celebrity pool 120, a communication network 130, a matching server 140, and a matching database 150.

FIG. 2 is a conceptual diagram schematically showing nodes of product information and a diagram thereof in a collaboration matching system between a company and a celebrity according to FIG.

Referring to FIG. 2, the goods pool 110 includes information on a product that the user is interested in, and may include an input unit 111 and an analysis unit 112 according to an embodiment of the present invention .

The input unit 111 receives a specific product from a user. That is, the user inputs the goods requested by the user through the input unit 111. [

For example, a product that the user currently produces and sells or a product that may be produced or sold at a later time can be registered in the product pool 110 through the input unit 111. [

The analyzer 112 digitizes and displays the goods inputted through the input unit 111 based on the feature value.

Here, the feature value of the product quantified and diagrammed through the analysis unit 112 is defined as product information and will be described later.

According to an embodiment of the present invention, the feature value of the product may include positive information about the product, recognition information, merchantability information, and issue information.

Here, the affinity information on the commodity is data obtained by digitizing whether the consumer's perception of the commodity registered by the user is positive or negative, and the perception information is data obtained by digitizing how much the consumer perceives the specific commodity And the merchandise information is data in which the specific product is sold in the market, and the issue information is an issue in which the specific product is issued through the mass media for a preset period. It is the data which quantified whether or not.

Of course, the above data may be data of a user who registered a specific commodity, and data considering all kinds of commodities produced and sold by others.

Meanwhile, according to one embodiment of the present invention, the affinity information is determined in consideration of classification, price, and function of a product, and the awareness information includes information such as the number of ads of a similar product, the number of sales, the number of awards, And the merchandise information is determined in consideration of the number of ads and the sales volume of the same kind of product, and the issue information may be determined in consideration of the number of articles published for the like product.

However, it is needless to say that it is not necessary to judge based on the above-described data alone, and it is natural that a part of the above-mentioned elements may be excluded or an item not described above may be additionally added to obtain product information.

For example, the positive information of a product may be added or subtracted from a reference score of 50 in consideration of a group consuming a specific commodity, whether it corresponds to a harmful medium of a youth, a price increase rate,

On the other hand, product recognition information is selected based on broadcasting exposure (0 ~ 30), Internet exposure (0 ~ 30), sales volume (0 ~ 30), and social network service (SNS) , And the broadcast exposure is calculated based on the number of times the advertisement is broadcast on a weekly basis. The Internet exposure is calculated based on the number of advertisements and the number of news articles launched on the Internet media and main portal in the past month, ~ 30) is based on the sales volume of similar products during the past one year, and the degree of social network service (SNS) exposure can be estimated based on the recommendation frequency of specific products in SNS during the past month .

On the other hand, the merchandise information of the merchandise can be calculated based on the number of advertisements (0 to 50) for the same merchandise and the sales volume (0 to 50) of the same merchandise during the last one month in the last month.

On the other hand, the issue information can be weighted on the positive articles based on the average number of articles on the internet medium during the last month.

It is needless to say that the above-described concrete method is merely one embodiment and can be applied in different ways depending on the situation.

In addition, in the embodiment of the present invention, it is described that the product information is analyzed for the product registered by the user. However, the user can extract the desired product while analyzing the product information for each of the plurality of products.

The celebrity pool 120 includes celebrity information for a plurality of celebrities.

FIG. 3 is a conceptual diagram schematically showing nodes of celebrity information and schematization of celebrity information in a collaboration matching system between a company and a celebrity according to FIG.

Referring to FIG. 3, it is preferable that the celebrity information provided in the celebrity pool 120 is already provided before a specific product is input into the product pool 110, according to an embodiment of the present invention.

On the other hand, the celebrity information provided in the celebrity pool 120 can digitize and visualize information of each celebrity, and moreover, can include a plurality of similar groups including at least one celebrity of a plurality of celebrities.

Here, the similar group is determined through the association between a plurality of celebrity information registered in the celebrity pool 120, and the association can be determined in consideration of at least one of celebrity information and matching algorithms to be described later. This will be described later.

First, according to an embodiment of the present invention, the celebrity information may include affinity information, awareness information, merchantability information, and issue information for each celebrity.

Here, the affinity information for the celebrity is data in which the public perception of the celebrity is positive or negative, and the perception information is a numerical data indicating how much the public perceives the pertinent celebrity, The information is a numerical data on whether the celebrity can have a positive effect on the sale of a specific product when it appears in a specific product advertisement. The issue information is the data of the celebrity. It is the data which quantified whether or not.

However, it is needless to say that it is not necessary to judge based on only the above-mentioned data, and it is natural that the celebrity information can be acquired by adding a factor which is not described above or excluded a part of the above-mentioned elements as necessary.

On the other hand, according to an embodiment of the present invention, the affinity information of celebrities can be determined by adding 10 for each award count and subtracting 20 for each illegal act count based on 50. [

In addition, the celebrity recognition information includes the number of broadcast exposures (0 ~ 30), Internet exposure (0 ~ 30), SNS followers (0 ~ 10), SNS writing (0 ~ 10), and can be added considering the number of stores operated by the celebrity (0 ~ 10).

Here, the number of SNS followers adds up the number of followers of the major SNSs such as Facebook and Twitter, and the number of SNS entries can be calculated by taking into consideration the number of articles written per month of the celebrities multiplied by the number of followers.

On the other hand, celebrity merchandise information is calculated based on the number of advertisements (0 ~ 20), the number of competitor ads (0 ~ 20), the cost of celebrity (0 ~ 20) Can be calculated.

Here, the consumption cost for celebrities can be applied in inverse proportion to the recognition information of celebrities. Estimated profit is calculated by dividing the ransom value of the celebrity into the product of the number of advertisements and the number of advertisements .

On the other hand, celebrity issue information calculates the attention (0 ~ 50) of celebrities, and the celebrity 's attention can be determined by the average number of articles in the main portal in relation to the average number of articles in the main portal for that celebration month. Accordingly, a score of 0 is calculated when the degree of attention is 0 to 1, and a value of 10 is assigned when the degree of interest is 1 or more, but the maximum value of 50 can be calculated. In addition, it can be estimated by considering the average number of celebrity portal average articles (0 ~ 50) in recent month.

The communication network 130 is a medium for transmitting merchandise information from the goods pool 110 and celebrity information from the celebrity pool 120 to a matching server 140 to be described later.

Meanwhile, since the communication network 130 is a well-known technology, a detailed description will be omitted here.

The matching server 140 receives merchandise information and celebrity information from the merchandise pool 110 and the celebrity pool 120 via the communication network 130 and receives a matching algorithm from a matching database 150 to be described later, A plurality of celebrities matching the goods information are selected.

According to an embodiment of the present invention, the matching server 140 selects a single celebrity matching with the product information through a matching algorithm, and then selects a plurality of celebrities by extracting a similar group including one famous person .

Meanwhile, according to an embodiment of the present invention, the matching algorithm analyzes a celebrity information, schematizes a hierarchical random graph based on similarity to celebrity information, and based on the hierarchical random graph, A similar group is determined.

The hierarchical random graph is composed of nodes for each piece of information constituting the celebrity information, and shows the similarity between each node in a hierarchical graph.

FIG. 4 is a conceptual view schematically showing matching of the nodes of the product information and the nodes of the celebrity information in the collaboration matching system between the company and the celebrity according to FIG.

Referring to FIG. 4, similarity between celebrity information is defined using a k-NK (k-nearest neighbors) algorithm, and a hierarchical random graph constructed by the k-NK constructs similarities between nodes in a hierarchical form do.

On the other hand, the hierarchical random graph can be composed of pairs satisfying tuple R = {V, E}.

Where v is a random vortex set and n-tuple consists of {v 1 , v 2 , v 3 , ..., v n }, where each v x contains four celebrity information specific values, That is, they are made in order of affirmation, recognition, merchandising, and issue, and can be influenced by each order.

For example, v 1 = 50, 60, 50, 50.

E is a random edge set, m-tuple is {e 1 , e 2 , ..., e m }, each e x is the mean and difference of four celebrity information specific values Lt; / RTI > At this time, each difference is composed of affinity, recognition, merchandise, and issue order.

For example, it may be composed of e 1 = 52.5, -2.5,7.5, -2.5 , -2.5.

Meanwhile, the product information provided in the product pool 110 may be displayed as a hierarchical random graph by performing the above-described process using a matching algorithm.

Thereafter, the canonical correlation analysis is performed on the commodity information and the celebrity information, so that the celebrity having the highest matching rate can be selected.

Here, multidimensional canonical correlation can be obtained through the canonical correlation coefficient between the celebrity and the commodity by matching in the multidimensional aspect between two different groups. Here, the multidimensional aspect means that the information constituting the group can be constructed independently among the groups, and the correlation can be understood as taking into consideration various characteristics rather than using one characteristic.

In addition, adjacent celebrities can be selected as a similar group on a hierarchical random graph of celebrities based on the selected celebrities.

Therefore, the association relationship in which the similar group is selected as described above can be determined by the celebrity information and the matching algorithm.

The matching database 150 stores a matching algorithm for matching product information and celebrity information. Here, the matching database 150 may be directly connected to the matching server 140 or may be connected through the communication network 130.

Meanwhile, the similar group selected through the collaboration matching system 110 between the company and the celebrity according to the embodiment of the present invention is provided to the user, and the user can directly select a celebrity There are advantages to choose from.

Hereinafter, a collaborative matching method (S100) between a company and a celebrity according to an embodiment of the present invention will be described.

5 is a flowchart schematically illustrating a method of collaborating matching between a company and a celebrity according to an embodiment of the present invention.

Referring to FIG. 5, a collaboration matching method (S100) between a company and a celebrity according to an embodiment of the present invention can match a company's product with a celebrity using the collaboration matching system 100 between the company and the celebrity A celebrity information diagramming step S110, a similar group determining step S120, a product information diagramming step S130, a matching step S140, and a similar group extracting step S150.

The celebrity information diagramming step (S110) is a step of digitizing and visualizing the celebrity information of each of a plurality of celebrities provided in the celebrity pool 120. [

According to an embodiment of the present invention, celebrity information can be digitized into four nodes of positive information, awareness information, merchandise information, and issue information for each celebrity, and multidimensional canonical correlation analysis is performed based on these numerical values To generate a hierarchical random graph.

As described above, a hierarchical random graph of celebrity information (hereinafter referred to as a star relationship graph (SRG)) expresses the association among celebrities according to the properties of respective celebrities. It is located close to.

The similar group determination step (S120) is a step of selecting a similar group that includes any one of a plurality of celebrities using the celebrity information schematized in the celebrity information diagramming step (S110).

That is, similar groups can be selected using the SRG created in the celebrity information diagramming step (S110).

On the other hand, the similar group determination step S120 is not necessarily performed before the product information diagramming step S130, which will be described later, and may be performed between the celebrity information diagramming step S110 and a similar group extracting step S150 described later Do.

The product information diagramming step (S130) is a step of visualizing the product information about the product.

According to an embodiment of the present invention, the product information can be digitized into four nodes of positive information, awareness information, merchandise information, and issue information for a product inputted by the user. Based on these numerical values, To generate a hierarchical random graph (product graph (PG)).

The matching step (S140) is a step of matching the displayed celebrity information and the displayed product information through the matching algorithm.

According to an embodiment of the present invention, the celebrity information and the commodity information are set to the same four nodes, respectively, and are expressed by a hierarchical random graph, so that SRG and PG can be represented by a single graph.

Accordingly, a celebrity can be searched for a commodity adjacent thereto.

More specifically, the user can select a priority among the four nodes of the product information.

In other words, if product information and celebrity information are matched on the basis of a node considered as a highest priority by the user, if there are a plurality of celebrities matching the nodes considered as the highest priority, do.

As this process is repeated, at least one celebrity matching the product information is searched.

The similar group extracting step S150 is a step of selecting a similar group including celebrities matched with the highest relevance to a specific product through the matching step S140.

From the similar group selection step (S120), the similar group including the selected celebrities in the matching step (S140) is extracted and is provided to the user.

The above-described embodiments of the present invention can be embodied in a general-purpose digital computer that can be created as a program that can be executed by a computer and operates the program using a computer-readable recording medium.

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 include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

It is to be understood that the scope of the present invention is not limited to the above embodiments and that various changes and modifications may be made without departing from the spirit and scope of the present invention, I will see.

100: Collaboration Matching System Between Company and Celebrity
110: Commodity pool 120: Celebrity pool
130: communication network 140: matching server
150: matching database
S100: How to Match Collaboration Between Company and Celebrity

Claims (9)

A product pool having product information for a company;
A celebrity pool having celebrity information for a plurality of celebrities;
A communication network in which the goods information and the celebrity information are transmitted from the goods pool and the celebrity pool using a computer or a communication terminal;
A matching server that receives the goods information and the celebrity information from the communication network and selects a plurality of celebrities matching the goods information from the celebrity information;
And a matching database for storing the matching algorithm for matching the product information and the celebrity information, wherein the matching database provides the matching algorithm to the matching server,
Wherein the celebrity pool includes a plurality of similar groups of at least one celebrity from among a plurality of celebrities wherein the plurality of similar groups are determined by a relationship between a plurality of celebrities of the celebrity pool, The celebrity information, and the matching algorithm,
Wherein the matching server selects one celebrity corresponding to the product information among the plurality of celebrities using the matching algorithm, extracts a similar group including the one celebrity, selects a plurality of celebrities,
The matching algorithm is based on the similarity of the celebrity information by analyzing the celebrity information, and is composed of nodes for each piece of information constituting the celebrity information, and is composed of hierarchical graphs A hierarchical random graph is schematized, a similar group associated with one celebrity is determined based on the hierarchical random graph,
Wherein the product information includes at least one of affinity information, awareness information, merchantability information, and issue information,
The affinity information is determined in consideration of classification, price, and function of the product, and is determined in consideration of the classification, price, and function of the product. The awareness information includes information on the number of ads, sales volume, ), And the merchandise information is determined in consideration of the number of ads and the sales volume of the same kind of goods, and the issue information is determined in consideration of the number of articles published for the like product,
The awareness information is determined in consideration of the number of advertisements of the same type of product, the number of sales, the number of awards, the degree of exposure of the social network service (SNS), and based on the degree of broadcast exposure, Internet exposure, , And the exposure is calculated by considering the number of times the advertisement is broadcast on a weekly basis. The Internet exposure is calculated based on the number of advertisements and the number of news articles published on the Internet media, main portal during the last month, (SNS) exposure is based on the number of referrals to specific products in the SNS during the past month,
The merchandise information is determined on the basis of the number of advertisements for the same type of merchandise and the sales amount of the same type of merchandise for the past one year during the past one month,
Wherein the issue information is determined in consideration of the number of articles published for the same kind of product, and is determined by a weight on a positive article based on the average number of articles on the Internet medium during the last one month. Collaboration Matching System. delete delete The method according to claim 1,
Wherein the celebrity information includes at least one of affinity information, awareness information, merchandise information, and issue information. 5. The method of claim 4,
Wherein the affinity information is determined in consideration of the number of times of the award of the celebrity and the number of illegal acts, and the awareness information is determined in consideration of the number of broadcast appearances of the celebrities, the number of fan club members, the number of awardees, and the degree of exposure of the social network service (SNS) The merchandise information is determined in consideration of the number of advertisements and the profit of the celebrities, and the issue information is determined in consideration of the number of articles issued to the celebrities. delete delete The method according to claim 1,
Wherein the matching algorithm is a multi-dimensional canonical correlation analysis between the product information and the celebrity information. In a method for matching a collaboration between a company and a celebrity using a collaboration matching system between a company and a celebrity as set forth in any one of items 1, 4, 5, and 8,
A hierarchical random graph (hereinafter referred to as " hierarchical random graph ") composed of nodes for each piece of information constituting the celebrity information based on the similarity of the celebrity information by analyzing the celebrity information, Hierarchical Random Graph);
A similar group determination step of determining a similar group in which a related relationship exists with any one of a plurality of celebrities using the illustrated celebrity information;
A product information display step of displaying product information on a product in a schematic form;
A matching step of matching the schematized celebrity information with the schematized product information through the matching algorithm;
And a similar group extracting step of extracting a similar group including the selected celebrities through the matching step.
KR1020150170163A 2015-12-01 2015-12-01 Matching system for business between company and celebrity and matching method thereof KR101760866B1 (en)

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KR20210017287A (en) * 2019-08-07 2021-02-17 문은빈 System and method for recommending color of cosmetic product by sharing information with influencer
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