KR20230153620A - Method for recommending cosmetic and System for recommending cosmetic - Google Patents

Abstract

According to one aspect of the present invention, inputting first cosmetics information by a user terminal (step S1); A step of recommending a second cosmetic product matching the first cosmetic product input by a cosmetic recommendation server (step S2); A method of recommending cosmetics will be provided, including the step of displaying the recommended second cosmetics on the user terminal and displaying the match rate between the information on the first cosmetics and the information on the second cosmetics on the user terminal (step S3). You can.

Description

Cosmetic recommendation method and cosmetic recommendation system {Method for recommending cosmetic and System for recommending cosmetic}

The present invention relates to a cosmetics recommendation method and a cosmetics recommendation system.

Recently, people's interest in beauty is increasing, and the demand for cosmetics that suit their skin condition is also increasing.

After users experience finding cosmetics that suit their skin condition, they tend to continue to use cosmetics that suit them.

When a user tries to purchase another cosmetic product similar to the cosmetic product being used, there is a problem in that it is difficult to objectively know the difference in color between the cosmetic product being used and the cosmetic product being purchased.

Therefore, it is difficult for users to accurately know the difference in color (e.g. difference in brightness, difference in tone, difference in saturation, etc.) between the new cosmetics they want to purchase and the cosmetics they are using, so they tend to repeatedly purchase the cosmetics they are already using. indicates.

From the perspective of a cosmetics company that sells cosmetics, there is a problem that it is difficult to attract users who use other companies' cosmetics as new consumers to purchase the company's cosmetics due to these user consumption trends.

Patent Document: Korea Registered Patent Publication 10-2058733 B1 (2019.12.17)

Embodiments of the present invention have been proposed to solve the above problems, and are intended to provide a cosmetic recommendation method and a cosmetic recommendation system that can recommend cosmetics similar to cosmetics already in use.

In addition, we aim to provide a cosmetics recommendation method and a cosmetics recommendation system that can objectively indicate the difference between existing cosmetics and recommended cosmetics.

In addition, we would like to provide a cosmetics recommendation method and a cosmetics recommendation system that can induce users who use other companies' cosmetics to purchase the company's cosmetics.

According to one aspect of the present invention, inputting first cosmetics information by a user terminal (step S1); A step of recommending a second cosmetic product matching the first cosmetic product input by a cosmetic recommendation server (step S2); A method of recommending cosmetics will be provided, including the step of displaying the recommended second cosmetics on the user terminal and displaying the match rate between the information on the first cosmetics and the information on the second cosmetics on the user terminal (step S3). You can.

In addition, after step S3, a cosmetics recommendation method may be provided that further includes a step (step S4) of linking to a purchase site where the recommended second cosmetics can be purchased.

In addition, step S1 includes inputting the brand of the first cosmetics (step S11); Inputting the first cosmetic product (step S12); and a step of inputting the color of the first cosmetic (step S13). A method of recommending cosmetics may be provided.

In addition, step S11 includes displaying a plurality of cosmetic brands by clicking on the brand input unit; And a step of selecting one brand from among the displayed plurality of cosmetic brands. Step S12 includes a step of displaying a plurality of products having the brand selected by the filtering portion by clicking the product input portion; and selecting one product from among a plurality of displayed products, where step S13 includes displaying a plurality of colors of the product selected by the filtering unit by clearing the number input unit; A method of recommending cosmetics may be provided, including the step of selecting one color from among a plurality of displayed colors.

In addition, step S2 includes extracting L1, a1, and b1 representing the color of the first cosmetic by a color extraction unit (step S21); A cosmetic recommendation method will be provided, including the step of selecting as the second cosmetic the cosmetic with the closest color distance value to the L1, a1, and b1 among the cosmetics that satisfy the conditions preset by the cosmetic recommendation unit (step S22). You can.

In addition, step S22 includes extracting L2, a2, and b2 for each of a plurality of cosmetics that satisfy the preset conditions by the cosmetic recommendation unit; For each of the plurality of cosmetics extracted by the cosmetic recommendation section A step of calculating and setting the color distance value; A cosmetic recommendation method may be provided that includes the step of selecting and recommending a cosmetic showing the minimum value among the color distance values calculated by the cosmetic recommendation unit as the second cosmetic.

In addition, step S3 includes a step of displaying the matching rate between the color of the first cosmetic and the color of the second cosmetics by the matching rate calculation unit, and the matching rate of the color is calculated by the following formula (1) A cosmetic recommendation method may be provided.

Formula (1): 100 - (

In addition, the preset condition may be provided as a cosmetic recommendation method in which the cosmetics are set to cosmetics stored in the second database, or cosmetics that can be purchased from the cosmetics purchasing server are set among the cosmetics stored in the second database.

Additionally, a cosmetics recommendation method may be provided in which the maximum distance value described in Equation (1) is set to 20 and the minimum distance value is set to 0.

In addition, the step S3 may provide a cosmetics recommendation method that further includes displaying at least one of a difference in brightness, a difference in tone, and a difference in saturation between the first cosmetics and the second cosmetics.

In addition, the difference in brightness between the first cosmetics and the second cosmetics is displayed as a graph in the brightness graph display section of the output screen, and the difference in tone between the first cosmetics and the second cosmetics is displayed in a graph in the tone graph display section of the output screen. A cosmetic recommendation method indicated by may be provided.

According to one aspect of the present invention, a user terminal capable of inputting first cosmetics information; It includes a cosmetics recommendation server that can recommend a second cosmetic that matches the inputted first cosmetic, wherein the recommended second cosmetic is displayed on the user terminal, and information on the first cosmetic and the second cosmetic are displayed. A cosmetics recommendation system in which the matching rate of information is displayed may be provided.

In addition, the cosmetics recommendation server includes a screen configuration unit that generates a brand input unit for inputting the brand of the first cosmetic, a product input unit for inputting a product, and a number input unit for inputting a color on an input screen. A recommendation system may be provided.

In addition, the cosmetics recommendation server is a cosmetics recommendation system that includes a screen component that generates on the output screen a recommended cosmetics display unit indicating the recommended second cosmetics and a match rate display unit indicating the color matching rate of the first cosmetic and the second cosmetics in numbers. This can be provided.

In addition, the cosmetics recommendation server may display a plurality of products having a brand selected in the brand input unit and further include a filtering unit that displays a plurality of colors of the product selected in the product input unit.

In addition, the cosmetics recommendation server includes a color extraction unit that extracts L1, a1, and b1 representing the color of the first cosmetics; A cosmetics recommendation system may be provided that includes a cosmetics recommendation unit that selects, as the second cosmetic, a cosmetic with a color distance value closest to L1, a1, and b1 among cosmetics that satisfy preset conditions.

In addition, the cosmetics recommendation unit extracts L2, a2, and b2 for each of the plurality of cosmetics that satisfy the preset conditions, and for each of the extracted plurality of cosmetics A cosmetics recommendation system can be provided that calculates and sets the color distance value, and selects and recommends the cosmetics showing the minimum value among the calculated color distance values as the second cosmetics.

In addition, the cosmetics recommendation server includes a matching rate calculation unit that calculates a matching rate between the color of the first cosmetic and the color of the second cosmetics, and the matching rate calculating section calculates the matching rate of the color according to the following equation (1). A cosmetics recommendation system may be provided.

Formula (1): 100 - (

In addition, the cosmetics recommendation server includes a brightness difference generator that calculates a brightness difference between the first cosmetics and the second cosmetics and displays the brightness difference on an output screen; a tone difference generator that calculates a difference in tone between the first cosmetics and the second cosmetics and displays the difference on an output screen; and a saturation difference generator that calculates the difference in saturation between the first cosmetics and the second cosmetics and displays it on an output screen.

In addition, the cosmetics recommendation system may further include a cosmetics purchase server that manages a purchase site where the second cosmetics recommended by the cosmetics recommendation server can be purchased.

The cosmetics recommendation method and cosmetics recommendation system of these embodiments can recommend cosmetics similar to cosmetics already in use.

In addition, it has the advantage of being able to objectively indicate the difference between existing cosmetics and recommended cosmetics.

In addition, it has the effect of encouraging users who use other companies' cosmetics to purchase the company's cosmetics.

1 is a diagram conceptually showing a cosmetics recommendation system 1 according to an embodiment of the present invention.
Figure 2 is a diagram schematically showing the input screen 110 displayed on the user terminal 10 where the user can input the first cosmetic product being used.
FIG. 3 is a diagram schematically showing the output screen 120 of the user terminal 10 on which the second cosmetics recommended by the cosmetics recommendation system 1 of FIG. 1 are displayed.
Figure 4 is a diagram schematically showing the sub-configuration of the cosmetics recommendation server 20.
FIG. 5 is a flowchart schematically showing a cosmetics recommendation method performed by the cosmetics recommendation system 1 of FIG. 1.
FIG. 6 is a table conceptually explaining the algorithm for calculating the difference in brightness between the first cosmetics and the second cosmetics executed by the cosmetics recommendation server 20 of FIG. 4.
FIG. 7 is a table conceptually explaining the algorithm for calculating the difference in tone between the first cosmetics and the second cosmetics executed by the cosmetics recommendation server 20 of FIG. 4.
FIG. 8 is a table conceptually explaining the algorithm for calculating the difference in saturation between the first cosmetics and the second cosmetics executed by the cosmetics recommendation server 20 of FIG. 4.
FIG. 9 is a table conceptually explaining phrases displayed on the output screen 120 according to the color matching rate of the first cosmetics and the second cosmetics executed by the cosmetics recommendation server 20 of FIG. 4.
FIG. 10 conceptually illustrates an explanatory text that can be displayed on the output screen 120 that simultaneously considers the brightness difference and tone difference between the color of the first cosmetic product and the color of the second cosmetic product executed by the cosmetic recommendation server 20 of FIG. 4. This is the table shown.

Hereinafter, specific embodiments of the present invention will be described in detail with reference to the drawings. In addition, when describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Figure 1 is a diagram conceptually showing the cosmetics recommendation system 1 according to an embodiment of the present invention, and Figure 2 is an input screen displayed on the user terminal 10 where the user can input the first cosmetic product being used ( 110), and FIG. 3 is a diagram schematically showing the output screen 120 of the user terminal 10 on which the second cosmetic product recommended by the cosmetic recommendation system 1 of FIG. 1 is displayed.

Referring to Figures 1 to 3, the cosmetics recommendation system 1 may include a user terminal 10, a cosmetics recommendation server 20, and a cosmetics purchase server 30.

The user terminal 10, the cosmetics recommendation server 20, and the cosmetics purchase server 30 may communicate data through the communication network 40. The cosmetics recommendation server 20 and the cosmetics purchase server 30 may be provided independently from each other, or may be provided as a single physical device to enable direct data communication.

The cosmetics recommendation system 1 of this embodiment can be understood as a system that recommends second cosmetics that are the same or similar to the input first cosmetics and allows the user to purchase the recommended second cosmetics.

By using the cosmetics recommendation system (1) of this embodiment, users who use other companies' cosmetics can be encouraged to purchase cosmetics from a specific company, and specific companies that use the cosmetics recommendation system (1) can be encouraged to increase sales. .

The user terminal 10 can be understood as a device that includes a screen that can receive information on the first cosmetic product being used by the user and display the recommended second cosmetic product. For example, the user terminal 10 may include a smartphone, laptop, tablet PC, wearable device, computer, etc.

The user terminal 10 may provide an input screen 110 through which the user can input information about the first cosmetic product being used (see FIG. 2).

Specifically, the input screen 110 includes a brand input unit 112 that can input the brand of the first cosmetics (for example, Sulwhasoo); A product input unit 113 that can receive a first cosmetic product (for example, Perfecting Cosmetic Product); And it may include a number input unit 114 that can input the number of the first cosmetic product (for example, 11 Porcelain Pink).

Additionally, the input screen 110 may include a search unit 111 that can input the brand and product of the first cosmetics by typing.

Additionally, the user terminal 10 may provide an output screen 120 capable of displaying recommended second cosmetics information (see FIG. 3).

Specifically, the output screen 120 is a recommended cosmetics display unit ( 122); A text display unit 123 indicating the color matching rate of the first cosmetic and the second cosmetic in numbers; A brightness graph display unit 125 that graphically displays the difference in brightness (difference in brightness) between the first and second cosmetics; A tone graph display unit 126 that graphs the difference in tone between the first and second cosmetics; And it may include a text display unit 123 that displays at least one of the difference in color, difference in brightness, difference in tone, and difference in saturation between the first cosmetic and the second cosmetic in text.

The cosmetics purchase server 30 may provide a purchase site where the second cosmetics recommended by the cosmetics recommendation server 20 can be purchased. The user can purchase the second cosmetic product recommended by the purchase site provided by the cosmetics purchase server 30.

The cosmetics recommendation server 20 can be understood as a device that can recommend a second cosmetic product that matches the input first cosmetic product.

The cosmetics recommendation server 20 may recommend a second cosmetic product that has a color most similar to the color of the input first cosmetic product and belongs to the same product group.

The cosmetics recommendation server 20 can calculate the color matching rate, brightness difference, tone difference, and saturation difference between the first and second cosmetics using a preset algorithm, and calculate the color matching rate and brightness difference between the first and second cosmetics. , differences in tone and saturation can be visualized in a specific way and displayed on the screen of the user terminal 10. A more detailed description of the cosmetics recommendation server 20 will be described later.

In this example, L, a, and b, which represent the colors of cosmetics, respectively represent L*, a*, and b*, and are indicated as L, a, and b for convenience of explanation.

L represents brightness in the CIE L*a*b* color space, and in this embodiment, L may be understood as representing brightness. Additionally, a can be understood as indicating whether the color is biased towards red or green, and b can be understood as indicating whether it is leaning towards yellow or blue.

Additionally, L1, a1, and b1 represent the L, a, and b values of the first cosmetic, respectively, and L2, a2, and b2 represent the L, a, and b values of the second cosmetic, respectively.

Figure 4 is a diagram schematically showing the sub-configuration of the cosmetics recommendation server 20.

Referring to Figure 4, the cosmetics recommendation server 20 may include a memory 200, a processor 300, and a communication module 400.

The processor 300 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Commands may be provided to the processor 300 from the memory 200 or the communication module 400.

In addition, commands may be provided to the processor 300 through a communication channel between each component constituting the cosmetics recommendation server 20.

The processor 300 recommends a second cosmetic product that has a color similar to that of the input first cosmetic product and belongs to the same product group, and calculates the color matching rate and brightness of the first cosmetic product and the second cosmetic product product. It is possible to perform various functions such as data input and output, data processing, data management, and communication using the communication network 40, which are required to calculate the difference, tone difference, and saturation difference according to a preset algorithm. Specific components of the processor 300 for executing this will be described later.

The memory 200 is a computer-readable recording medium and may include a non-permanent mass storage device such as RAM (Random Access Memory), ROM (Read Only Memory), and a disk drive.

The processor 300 loads a program code stored in the memory 200 to recommend a second cosmetic product having a color similar to the color of the first cosmetic product, and calculates the color matching rate, difference in brightness, and tone of the first cosmetic product and the second cosmetic product. The difference in saturation can be used to calculate the difference using a preset algorithm.

These program codes may be loaded from a recording medium (for example, a memory card, etc.) readable by a separate computer, or may be transferred from another device through the communication module 400 and stored in the memory 200.

Additionally, the processor 300 of the cosmetics recommendation server 20 may be provided in the form of an application that is installed and executed on the user terminal 10.

In addition, the memory 200 recommends a second cosmetic product having a color similar to the color of the first cosmetic product, and determines the color matching rate, difference in brightness, difference in tone, and difference in saturation between the first cosmetic product and the second cosmetic product according to preset values. A database 210 capable of storing data required for calculation by an algorithm may be provided.

Specifically, the database 210 includes a first database 212 that stores information on the first cosmetic product in use; and a second database 214 that stores information on second cosmetics recommended to the user.

The first database 212 and the second database 214 each include cosmetic brands, brand code products, product codes, numbers representing colors, product number sequences, and L*, a*, b* values representing the colors of cosmetics, and L*, C*, h* values, etc. may be stored.

The communication module 400 can provide a function for the user terminal 10, the cosmetics recommendation server 20, and the cosmetics purchase server 30 to communicate with each other through the communication network 40.

The cosmetics recommendation server 20 is physically composed of a filtering unit 311, a color extraction unit 321, a cosmetics recommendation unit 322, a match rate calculation unit 323, a brightness difference generating unit 333, and a tone difference generating unit ( 334), a saturation difference generator 335, and a screen configuration unit 341, and a detailed description thereof will be provided later.

FIG. 5 is a flowchart schematically showing the cosmetics recommendation method executed by the cosmetics recommendation system 1 of FIG. 1, and FIG. 6 is a flow chart of the first cosmetics and the second cosmetics performed by the cosmetics recommendation server 20 of FIG. 4. This is a table conceptually explaining the algorithm for calculating the difference in brightness, and FIG. 7 is a table conceptually explaining the algorithm for calculating the difference in tone between the first cosmetics and the second cosmetics executed by the cosmetics recommendation server 20 of FIG. 4. 8 is a table conceptually explaining the algorithm for calculating the difference in saturation of the first cosmetics and the second cosmetics executed by the cosmetics recommendation server 20 of FIG. 4, and FIG. 9 is a table This is a table conceptually explaining the text displayed on the output screen 120 according to the color matching rate of the first cosmetics and the second cosmetics executed by the cosmetics recommendation server 20 of 4, and FIG. 10 shows the cosmetics recommendation of FIG. 4. This table conceptually shows explanatory phrases that can be displayed on the output screen 120 that simultaneously considers the brightness difference and tone difference between the color of the first cosmetic and the color of the second cosmetic executed by the server 20.

1 to 10, the method of recommending cosmetics includes inputting first cosmetics information by the user terminal 10 (step S1); A step of recommending a second cosmetic product matching the first cosmetic product input by the cosmetic recommendation server 20 (step S2); The recommended second cosmetics are displayed on the user terminal 10, and the matching rate between the information on the second cosmetics and the information on the first cosmetics is displayed on the user terminal 10 (step S3); And it may include a step of connecting to a purchase site where the recommended second cosmetics can be purchased (step S4).

First, the step (step S1) in which the first cosmetics information is input by the user terminal 10 will be described in detail as follows.

The user terminal 10 may be provided with an input screen 110 through which first cosmetics information can be input. For example, the user can input the brand, product, and number of the first cosmetics through the input screen 110.

Step S1 is a step in which the brand of the first cosmetic is input (step S11); A step in which the first cosmetic product is input (step S12); And it may include a step of inputting the color of the first cosmetic (step S13).

Step S11 is a step in which a plurality of cosmetic brands (eg, Sulwhasoo, Hera, etc.) are displayed by clicking on the brand input unit 112 provided on the input screen 110; The method may include selecting one brand (eg, Sulwhasoo) from among a plurality of displayed cosmetic brands.

In step S12, when the product input unit 113 is clicked, a plurality of products (e.g., Perfecting Cushion, Timetreasure Serum Cushion, Perfecting Foundation, etc.) having a brand (e.g., Sulwhasoo) selected by the filtering unit 311 are selected. ) is displayed; and selecting one product (for example, Timetreasure Serum Cushion) from among the plurality of displayed products.

In step S13, the number input unit 114 is cleared to select a plurality of colors (e.g., 11N1 porcelain, 13N1 ivory, 171N1 beige) that the product (e.g., Timetreasure Serum Cushion) selected by the filtering unit 311 may have. ) is displayed; And it may include selecting one color (eg, 13N1 ivory) from among the plurality of displayed colors.

Here, selection of the brand, selection of the product, and selection of the color can be implemented by the user's click on the input screen 110.

After step S13, the search button 115 is clicked so that the second cosmetic product can be recommended and displayed on the output screen 120 as shown in FIG. 3.

The above-described step S11 is explained by selecting one of the brands that appear by clicking the brand input unit 112, and step S12 is input by selecting one of the products that appear by clicking the product input unit 113.

However, the idea of the present invention is not limited to this, and the brand and product can be entered by typing the brand or product into the search unit 111.

Next, the step (step S2) in which the second cosmetic product that matches the first cosmetic product input by the cosmetic recommendation server 20 is recommended will be described in more detail.

Step S2 includes extracting L1, a1, and b1 representing the color of the first cosmetic by the color extraction unit 321 (step S21); And it may include a step (step S22) of selecting the cosmetics having the closest color distance values to L1, a1, and b1 among the cosmetics that satisfy preset conditions by the cosmetics recommendation unit 322 as the second cosmetic.

To describe step S21 in more detail, L1, a1, and b1 representing the colors of the first cosmetics are stored in the first database 212, and the color extraction unit 321 stores the first cosmetics matching the input first cosmetics. The colors L1, a1, and b1 of the first cosmetics stored in the database 212 can be extracted.

Step S22 is a step of extracting L2, a2, and b2 for each of a plurality of cosmetics that satisfy preset conditions by the cosmetic recommendation unit 322; For each of the plurality of cosmetics extracted by the cosmetics recommendation unit 322 A step of calculating and setting the color distance value; It may include a step of selecting and recommending the cosmetics showing the minimum value among the color distance values calculated by the cosmetics recommendation unit 322 as the second cosmetics.

Here, the preset conditions may be set to cosmetics stored in the second database 214.

The second database 214 can store only cosmetics sold by a specific company. Therefore, the cosmetics recommendation system (1) of this embodiment can induce users who use other companies' cosmetics to purchase cosmetics from a specific company, and a specific company using the cosmetics recommendation system (1) can induce an increase in sales. You can.

Additionally, the preset condition may be set to cosmetics that can be purchased from the cosmetics purchasing server 30 among the cosmetics stored in the second database 214.

The cosmetics purchasing server 30 can provide a cosmetics sales site operated by a specific company, and recommends only cosmetics sold in the cosmetics purchasing server 30 as second cosmetics through the cosmetics recommendation system 1, thereby providing a cosmetics sales site operated by a specific company. It can lead to increased sales.

In addition, the color distance value can be understood as indicating the difference between the color of the first cosmetic and the color of the second cosmetic, and the smaller the color distance value, the smaller the difference between the colors of the two cosmetics.

That is, the cosmetics recommendation unit 322 can recommend a second cosmetic product that is most similar to the color of the first cosmetic product.

Next, the step (step S3) in which the recommended second cosmetics is displayed on the user terminal 10 and the match rate between the information on the second cosmetics and the information on the first cosmetics is displayed on the user terminal 10 will be described in more detail. do.

Step S3 includes a step of displaying the matching rate between the color of the first cosmetic and the color of the second cosmetics by the matching rate calculating unit 323, and the matching rate of the color is calculated by the following equation (1). It may include computational steps.

Formula (1): 100 - (

Here, the maximum distance value may be set to 20 and the minimum distance value may be set to 0 by the coincidence rate calculator 323.

In this example, to control color quality, the standard for the maximum ΔE (color difference) value was set to 2.0, and values smaller than this were assumed to be the same color. Additionally, when given the concept of match rate, users tended to expect that if the number was over 90%, the color would be close to the same color.

Considering these results, ΔE = 0 was set to 100% matching rate, and ΔE = 2.0 was set to 90% matching rate, so that as 1% decreases, the color difference increases by ΔE = 0.2. For this purpose, the maximum distance value was set to 20 and the minimum distance value was set to 0.

That is, the maximum distance value can be expressed as (maximum color difference reference value/(100%-preset value that can be set to similar color)).

In this embodiment, the maximum color difference standard value is set to 2.0, and the preset value that can be set as a similar color can be understood as being set to 90%.

Additionally, in step S3, the cosmetics recommendation unit 322 can recommend the second cosmetics only when the matching rate between the first cosmetics and the second cosmetics is greater than or equal to a preset condition. For example, the cosmetics recommendation unit 322 may recommend the second cosmetics only when the matching rate between the first cosmetics and the second cosmetics is 80% or more, and may not select the recommended cosmetics if the matching rate is less than 80%.

Additionally, the cosmetics recommendation unit 322 may display different phrases on the output screen 120 depending on the match rate. The text displayed on the output screen 120 according to the match rate is as shown in FIG. 9.

Step S3 may further include displaying at least one of a difference in brightness, a difference in tone, and a difference in saturation between the first cosmetic and the second cosmetic.

Specifically, the brightness difference generator 333 calculates the brightness difference (L1-L2), which is the difference between L1 of the first cosmetic and L2 of the second cosmetic, and matches the calculated brightness difference with one of a plurality of preset sections. and the matched brightness difference can be displayed on the output screen 120.

For example, referring to FIG. 6, the brightness difference generator 333 generates 11 sections (a section below -2, between -2 and below -1.5, between -1.5 and below -1.0, between -1.0 and below -0.5, -0.5 After creating a graph set to -0.2 or less, -0.2 or more but less than 0.2, 0.2 or more but less than 0.5, 0.5 or more but less than 1.0, 1.0 or more but less than 1.5, 1.5 or more but less than 2.0, and more than 2.0, the calculated brightness difference is divided into multiple By matching to a preset section, the matched brightness difference can be generated as a graph in the brightness graph display unit 125.

Additionally, the calculated brightness difference may be displayed as a graph on the brightness graph display unit 125 and as a text (e.g., very slightly dark) on the text display unit 123 (see FIGS. 3 and 6).

The tone difference generator 334 extracts b1 and a1 of the first cosmetic and calculates b1-1.1xa1 to set it as the tone of the first cosmetic, and extracts b2 and b2 of the second cosmetic and calculates b2-1.1xb2. Set the tone of the second cosmetics, calculate the tone difference, which is the difference between the tone of the first cosmetics and the tone of the second cosmetics, match the calculated tone difference with one of the preset sections, and output the matched tone difference. It can be displayed on the screen 120.

Likewise, the tone difference generator 334 generates a graph set in 11 sections, then matches the calculated tone differences to a plurality of preset sections, and generates the matched tone differences as a graph in the tone graph display unit 126. It can be done (see Figures 3 and 7).

Specifically, the calculated tone difference may be displayed as a graph on the tone graph display unit 126 and as a phrase (for example, a very slightly cool tone) on the phrase display unit 123.

The saturation difference generator 335 may calculate a saturation difference (C1-C2), which is the difference between C1 of the first cosmetic and C2 of the second cosmetic, and display the calculated saturation difference on the text display unit 123. The calculated saturation difference may be displayed graphically or expressed as a phrase (e.g., high) (see FIGS. 3 and 8).

Such a brightness phrase for the brightness difference, a tone phrase for the tone difference, and a saturation phrase for the saturation difference may be matched to the above-mentioned preset section and stored in the second database 214.

Additionally, as described above, the matching rate calculation unit 323 may generate a matching rate for the color of the first cosmetic and the color of the second cosmetic.

The cosmetics recommendation unit 322 selects the second cosmetics as a recommended product only when the matching rate between the color of the first cosmetics and the color of the second cosmetics is more than a preset range (for example, 75%) and displays the output screen (120). ) can be displayed.

Additionally, the second database 214 may store matching rate phrases according to matching rate sections, and the matching rate calculation unit 323 may display the corresponding phrases on the phrase display unit 123 according to the matching rate.

For example, if the matching rate between the color of the first cosmetic and the color of the second cosmetics is 92% according to the matching rate calculating unit 323, the matching rate calculating unit 323 will print a phrase corresponding to the matching rate of 92%, “quite similar to the entered product.” The phrase “It is in color” can be displayed on the text display unit 123.

In addition, the second database 214 may store explanatory sentences that simultaneously consider the brightness difference and tone difference between the color of the first cosmetic and the color of the second cosmetic (see FIG. 10), and the brightness difference and tone difference can be stored at the same time. The reflected explanatory text may be displayed on the output screen 120.

After a second cosmetic similar to the first cosmetic is displayed on the output screen 120, clicking on the purchase link connection unit 127 displayed on the output screen 120 can connect to a purchase site where the second cosmetic can be purchased (step S4) ). The user can purchase the second recommended cosmetics on the purchase site.

Hereinafter, the cosmetics recommendation server 20 described above includes a filtering unit 311, a color extraction unit 321, a cosmetics recommendation unit 322, a match rate calculating unit 323, a brightness difference generating unit 333, which are physical components. The tone difference generator 334, saturation difference generator 335, and screen configuration unit 341 will be described in more detail.

The screen configuration unit 341 can generate the input screen 110 and the output screen 120 through the user terminal 10.

Specifically, the screen configuration unit 341 is an input screen 110, including a brand input unit 112 for inputting the brand of the first cosmetic, a product input unit 113 for inputting the product of the first cosmetic, and a brand input unit 112 for inputting the brand of the first cosmetics. A number input unit 114 for entering the color of the first cosmetic product, a search unit 111 for searching the brand and product name of the first cosmetic product; And when the brand, product, and color of cosmetics are input, a search button 115 that connects to the output screen 120 may be displayed on the user terminal 10.

In addition, the screen configuration unit 341 is an output screen 120, including an input cosmetics display unit 121 showing the input first cosmetics, a recommended cosmetics display unit 122 showing the recommended second cosmetics, the first cosmetics and the second cosmetics. A match rate display unit 124 that shows the color match rate of the cosmetics in numbers, a brightness graph display unit 125 that shows the difference in brightness between the first cosmetics and the second cosmetics in a graph, and a graph that shows the difference in tone between the first cosmetics and the second cosmetics. Natae can display text on the tone graph display unit 126, the difference between the first cosmetics and the second cosmetics (e.g., color, brightness, tone, saturation) on the user terminal 10.

The filtering unit 311 may display a plurality of products having a brand selected in the brand input unit 112 and display a plurality of colors of the product selected in the product input unit 113.

That is, when the user selects a brand through the brand input unit 112, the filtering unit 311 can list and display all products having the selected brand, and when the user selects a listed product, the filtering unit 311 selects the product. All colors can be listed and displayed, and the user can select one of the listed colors.

The color extraction unit 321 may extract L1, a1, and b1 representing the color of the first cosmetics from the first database 212.

The cosmetics recommendation unit 322 may select the cosmetic with the closest color distance value to L1, a1, and b1 as the second cosmetic among cosmetics that satisfy preset conditions.

In addition, the cosmetics recommendation unit 322 extracts L2, a2, and b2 for each of a plurality of cosmetics that satisfy preset conditions, and for each of the extracted plurality of cosmetics is calculated and set as the color distance value, and the cosmetics showing the minimum value among the calculated color distance values can be selected and recommended as the second cosmetics.

The matching rate calculation unit 323 can calculate the matching rate between the color of the first cosmetic and the color of the second cosmetic according to the following equation (1).

Formula (1):

The brightness difference generator 333 may calculate the brightness difference between the first cosmetics and the second cosmetics and display it on the output screen 120.

The tone difference generator 334 may calculate the difference in tone between the first cosmetics and the second cosmetics and display it on the output screen 120.

The saturation difference generator 335 may calculate the difference in saturation between the first cosmetic and the second cosmetic and display it on the output screen 120.

The tone difference generator 334 may calculate the difference in tone between the first cosmetics and the second cosmetics and display it on the output screen 120.

The saturation difference generator 335 may calculate the difference in saturation between the first cosmetics and the second cosmetics and display it on the output screen 120.

Although the cosmetics recommendation method and the cosmetics recommendation system (1) according to the embodiment of the present invention have been described above as specific embodiments, this is only an example and the present invention is not limited thereto, and the widest scope according to the basic idea disclosed in the present specification is described. It should be interpreted as having a range. A person skilled in the art may combine and substitute the disclosed embodiments to implement embodiments not specified, but this also does not deviate from the scope of the present invention. In addition, a person skilled in the art can easily change or modify the embodiments disclosed based on the present specification, and it is clear that such changes or modifications also fall within the scope of the present invention.

1: Cosmetics recommendation system
10: User terminal
110: input screen
111: Search unit
112: Brand input unit
113: Product input unit
114: Lake input unit
115: Find button
120: output screen
121: Input cosmetics display unit
122: Recommended cosmetics display unit
123: Text display unit
124: Match rate display unit
125: Brightness graph display unit
126: Tone graph display unit
127: Purchase link connection part
20: Cosmetics recommendation server
200: memory
210: database
212: first database
214: second database
30: Cosmetics purchase server
300: processor
311: filtering unit
321: Color extraction unit
322: Cosmetics recommendation section
323: Match rate calculation unit
333: Brightness difference generator
334: Tone difference generation unit
335: Saturation difference generator
341: Screen composition unit
40: communication network

Claims (20)

Inputting first cosmetics information by the user terminal (step S1);
A step of recommending a second cosmetic product matching the first cosmetic product input by a cosmetic recommendation server (step S2);
Comprising the step (step S3) of displaying the recommended second cosmetics on the user terminal, and displaying the match rate between the information on the first cosmetics and the information on the second cosmetics on the user terminal.
How to recommend cosmetics. According to claim 1,
After step S3,
Further comprising a step (step S4) of linking to a purchase site where the recommended second cosmetics can be purchased.
How to recommend cosmetics. According to claim 1,
In step S1,
Entering the brand of the first cosmetics (step S11);
Inputting the first cosmetic product (step S12); and
Including the step of inputting the color of the first cosmetic (step S13)
How to recommend cosmetics. According to clause 3,
In step S11,
Displaying a plurality of cosmetic brands by clicking on the brand input unit; and
Including a step of selecting one brand from among the plurality of displayed cosmetic brands,
Step S12,
A step of displaying a plurality of products having a brand selected by the filtering unit by clicking on the product input unit; and
Including a step of selecting one product from a plurality of displayed products,
In step S13,
A step of displaying a plurality of colors of the product selected by the filtering unit by clearing the number input unit; and
Including the step of selecting one color from a plurality of displayed colors.
How to recommend cosmetics. According to claim 1,
In step S2,
Extracting L1, a1, and b1 representing the color of the first cosmetic by a color extraction unit (step S21);
A step (S22) of selecting the cosmetic with the closest color distance value to the L1, a1, and b1 among the cosmetics that satisfy the conditions set by the cosmetic recommendation unit as the second cosmetic.
How to recommend cosmetics. According to clause 5,
In step S22,
Extracting L2, a2, and b2 for each of a plurality of cosmetics that satisfy the preset conditions by the cosmetic recommendation unit;
For each of the plurality of cosmetics extracted by the cosmetic recommendation section A step of calculating and setting the color distance value;
Including the step of selecting and recommending the cosmetics showing the minimum value among the color distance values calculated by the cosmetic recommendation unit as the second cosmetics.
How to recommend cosmetics. According to claim 1,
In step S3,
Comprising a step of displaying the matching rate between the color of the first cosmetics and the color of the second cosmetics by a matching rate calculation unit,
The matching rate of the color is calculated by the following formula (1) by the matching rate calculation unit.
Formula (1):
How to recommend cosmetics. According to clause 6,
The preset conditions are:
It is set as a cosmetic stored in the second database, or as a cosmetic that can be purchased from the cosmetics purchase server among the cosmetics stored in the second database.
How to recommend cosmetics. According to clause 7,
The maximum distance value described in equation (1) is 20, and the minimum distance value is set to 0.
How to recommend cosmetics. According to claim 1,
In step S3,
Further comprising displaying at least one of a difference in brightness, a difference in tone, and a difference in saturation between the first cosmetics and the second cosmetics.
How to recommend cosmetics. According to claim 10,
The difference in brightness between the first cosmetics and the second cosmetics is displayed as a graph in the brightness graph display unit of the output screen,
The difference in tone between the first cosmetics and the second cosmetics is displayed graphically in the tone graph display section of the output screen.
How to recommend cosmetics. A user terminal capable of entering first cosmetics information;
It includes a cosmetics recommendation server capable of recommending a second cosmetic that matches the inputted first cosmetic,
The recommended second cosmetics are displayed on the user terminal, and the match rate between the information on the first cosmetics and the information on the second cosmetics is displayed.
Cosmetics recommendation system. According to claim 12,
The cosmetics recommendation server is,
A screen configuration unit that generates a brand input unit for entering the brand of the first cosmetic, a product input unit for entering a product, and a number input unit for entering a color on an input screen.
Cosmetics recommendation system. According to claim 12,
The cosmetics recommendation server is,
A screen configuration unit that generates on the output screen a recommended cosmetics display unit indicating the recommended second cosmetics and a match rate display unit indicating the color matching rate of the first cosmetics and the second cosmetics in numbers.
Cosmetics recommendation system. According to claim 13,
The cosmetics recommendation server is,
It further includes a filtering unit that displays a plurality of products having a brand selected in the brand input unit and displays a plurality of colors of the product selected in the product input unit.
Cosmetics recommendation system. According to claim 12,
The cosmetics recommendation server is,
A color extraction unit that extracts L1, a1, and b1 representing the color of the first cosmetic product;
A cosmetic recommendation unit that selects the cosmetic with the closest color distance value to the L1, a1, and b1 among cosmetics that satisfy preset conditions as the second cosmetic.
Cosmetics recommendation system. According to claim 16,
The cosmetics recommendation section,
Extract L2, a2, and b2 for each of the plurality of cosmetics that satisfy the preset conditions,
For each of the plurality of extracted cosmetics Calculate and set it as the color distance value,
The cosmetics that shows the minimum value among the calculated color distance values are selected as the second cosmetics and recommended.
Cosmetics recommendation system. According to claim 12,
The cosmetics recommendation server is,
Comprising a matching rate calculation unit that calculates a matching rate between the color of the first cosmetic and the color of the second cosmetic,
The matching rate calculation unit calculates the matching rate of the color according to the following formula (1):
Formula (1):
Cosmetics recommendation system. According to claim 12,
The cosmetics recommendation server is,
a brightness difference generator that calculates a brightness difference between the first cosmetics and the second cosmetics and displays the brightness difference on an output screen;
a tone difference generator that calculates a difference in tone between the first cosmetics and the second cosmetics and displays the difference on an output screen; and
Further comprising a saturation difference generator that calculates the difference in saturation between the first cosmetic and the second cosmetic and displays it on an output screen.
Cosmetics recommendation system. According to claim 12,
The cosmetics recommendation system is,
It further includes a cosmetics purchase server that manages a purchase site where you can purchase the second cosmetics recommended by the cosmetics recommendation server.
Cosmetics recommendation system.

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