KR20180132179A - A method and program for recommending personalized cosmotics - Google Patents

Abstract

The present invention relates to a method of recommending personalized cosmetics, which can calculate a skin type of a user, calculate a score by comparing a product type of each cosmetics with a skin type of a user, calculate a final unique score for each cosmetics, To optimize the cosmetics to the user by correcting the final unique score through the scores of the other users who use it.

Description

A method and program for recommending personalized cosmotics,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a personalized cosmetic recommendation method and a recommended program, and more particularly, to a method and a program for recommending a cosmetic suitable for a user's skin.

Cosmetics are classified according to some representative types such as oily skin, neutral skin and dry skin. Therefore, cosmetics for oily skin may cause side effects if people with oily skin use cosmetics for their own skin type. In addition, some ingredients contained in cosmetics may cause various side effects such as aging of skin or cancer when used for a long period of time. In addition, some customers may cause allergic reactions or skin troubles such as acne due to the specific ingredients contained in cosmetics.

However, in general, people do not know exactly what type of skin they are and what causes their skin trouble, so they choose cosmetics as recommended by the cosmetics salesman. However, since cosmetic salespersons do not have specialized knowledge about the effects of ingredients constituting cosmetic products, it is difficult to recommend a cosmetic suitable for customer's individual taste, skin condition, and specificity (for example, allergic reaction).

Meanwhile, Korean Patent No. 10-0708319 proposes a method of directly manufacturing cosmetics according to the result of measuring the skin condition of a customer to solve such a problem. However, in the case of a company that manufactures a small amount of cosmetics suitable for a customer, the manufacturer does not go through the authentication procedure, and thus, a larger skin trouble can be mass-produced.

According to the present invention, based on the basic score of each cosmetic product for each skin type, a personalized cosmetic product score is calculated by adding and subtracting a score reflecting the relationship between the ingredient in the cosmetic product and the skin condition of the first user, To provide a personalized cosmetic recommendation method and recommendation program.

The problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems which are not mentioned can be clearly understood by those skilled in the art from the following description.

The method of recommending personalized cosmetics according to an embodiment of the present invention is a method of recommending cosmetics by a computer, the method comprising: receiving a predetermined number or more of moisture data from a skin condition measuring device of a first user; Calculating skin type of the first user based on the moisture data; Comparing a product type of a specific cosmetic product with a skin type of the first user to calculate a basic score for each cosmetic product for the first user; Comparing the skin type of the first user with a component included in the cosmetic product to calculate a component reflection value to be added to or subtracted from the basic score; Calculating a final unique score for each cosmetic product for the first user by applying the component reflection value; Accumulating skin condition data within a specific period of time using a particular cosmetic product of a second user; Calculating a skin condition change of the second user based on the accumulated skin condition data; Performing the final unique score correction based on evaluation data corresponding to the skin condition change; And recommending a cosmetic product conforming to the skin condition of the first user among the cosmetic products to which the final unique score is applied, wherein the second user uses the skin condition measuring device to specify skin condition data after use of the cosmetic product Is a user who has measured the number of times or more.

The step of receiving the moisture data may include determining whether the compound skin type is based on the moisture measured at a plurality of points on the skin of the first user measured by the skin condition measuring apparatus have.

Extracting a second user having the same skin type as the first user into a first extraction group; And extracting a second user having the same skin type as the first user from the first extraction group to generate a second extraction group, wherein when the second user is a plurality of users, And the value of the addition point is applied differently based on the ratio of the second user whose state is improved.

Further, the method may further include receiving query data through the client of the first user, wherein the skin type calculating step calculates the skin type of the first user based on the survey data and the moisture data.

The component reflection value calculation step may include: selecting an influence component classification to be applied according to a user's skin type; And a step of weighting positive factors and negative factors in the selected influencing component class and adding them to calculate an influential component reflecting value, wherein the influencing component includes at least one of a dry influencing component, an intelligent influencing component, Or more, and is classified into positive factors and negative factors.

The component reflection value calculating step may include extracting a harmful component or a functional component based on the component list of cosmetics, and calculating a harmful component or functional component reflection value based on the number or type of the harmful component or the functional component Further comprising:

The method may further include generating environmental data by accumulating UV data and humidity data corresponding to the position of the first user, wherein the final unique score calculating step includes the steps of: Wherein the environmental data is generated by grasping an environmental characteristic on an activity range of the first user and is characterized in that the measurement data measured by the skin condition measuring device of the first user or the measurement data measured by the skin condition measuring device of the first user, And is included in the weather data received from the external server based on the current location data measured by the client.

Obtaining skin condition change data of the first user according to the use of the specific cosmetics measured by the skin condition measuring apparatus; Determining whether the skin condition of the first user is improved based on the skin condition change data, and determining whether to maintain use of the specific cosmetic product.

A personalized cosmetic recommendation program according to another embodiment of the present invention is combined with a computer which is hardware, executes the above-mentioned personalized cosmetic recommendation method, and is stored in a medium.

According to the present invention as described above, the following various effects are obtained.

First, since a personalized recommendation list is generated in consideration of the user's skin type, interest, and the like, cosmetics that meet the user's needs can be recommended.

Second, since the unique score of cosmetics for recommending cosmetics is calculated in consideration of the relationship between the ingredients contained in the cosmetics and the user's skin, cosmetics that best match the skin condition of the user can be recommended.

1 is a flowchart of a personalized cosmetic recommendation method according to an embodiment of the present invention.
2 is an exemplary diagram for calculating a basic score for each cosmetic product according to an embodiment of the present invention.
FIG. 3 is a flowchart of a personalized cosmetic recommendation method for calculating a unique score by reflecting influence components in each cosmetic according to an embodiment of the present invention.
4 is an exemplary diagram for calculating influenced component reflection values by reflecting the number and type of influence components according to an embodiment of the present invention.
FIG. 5 is a flowchart of a personalized cosmetic recommendation method, further including a process of calculating a health hazard level or a functional ingredient reflectance value in consideration of the number or types of harmful or functional ingredients according to an embodiment of the present invention.
FIG. 6 is an exemplary diagram for calculating the reflectance value or the functional ingredient reflectance value for each cosmetic product in consideration of the number or types of harmful components or functional components according to an embodiment of the present invention.
FIG. 7 is an exemplary diagram for calculating functional component reflection values by reflecting a user's weight on each functionality according to an exemplary embodiment of the present invention. Referring to FIG.
FIG. 8 is a flowchart of a personalized cosmetic recommendation method, further comprising a step of calculating a skin type of a first user according to an embodiment of the present invention.
9 is a flowchart of a personalized cosmetic recommendation method, which further includes generating environment data corresponding to a position of a first user according to an embodiment of the present invention.
10 is a flowchart of a personalized cosmetic recommendation method, further comprising a process of determining a use environment of a specific cosmetics based on environment data of a second user according to an embodiment of the present invention.
11 is a flowchart of a personalized cosmetic recommendation method, further comprising a step of correcting a final unique score by reflecting a skin condition change of a second user according to an embodiment of the present invention.
FIG. 12 is a flowchart illustrating a method of recommending personalized cosmetics according to an exemplary embodiment of the present invention, which further includes determining whether the first user is using the cosmetics or not.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises " and / or " comprising " used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element.

The term " computer " as used herein encompasses various devices capable of performing computational processing to provide results to a user. For example, the computer may be a smart phone, a tablet PC, a cellular phone, a personal communication service phone (PCS phone), a synchronous / asynchronous A mobile terminal of IMT-2000 (International Mobile Telecommunication-2000), a Palm Personal Computer (PC), a personal digital assistant (PDA), and the like. Also, the computer may correspond to a server that receives a request from a client and performs information processing.

In this specification, the 'first user' is a user who wants to receive cosmetics. In this specification, the 'second user' is a user who uses a particular cosmetic product, and is a user who is subjected to second skin condition change data or second environment data for recommending cosmetics.

As used herein, the term " skin type " refers to a skin type of a specific user. As used herein, the term " product type " means a type in which a specific product (i.e., cosmetics) is judged to be usable. The 'product type' may correspond to a plurality of skin types, not to only a specific skin type.

As used herein, the term "base score" refers to a score for a specific skin type of each cosmetic product, which is calculated based on the cosmetic product type and the skin type type, without reflecting the skin characteristics of the user. In the present specification, the 'unique score' means a score in which the basic score is corrected in consideration of at least one of the user's skin characteristics, the user's interests, and the user's activity environment. The 'unique score' may be referred to as a first unique score and a second unique score in turn when the user goes through various steps of controlling the score. Finally, the score in the cosmetic score table reflecting the user's skin characteristics, It can be called a score.

Hereinafter, referring to the drawings, a personalized cosmetic recommendation method and a recommended program according to embodiments of the present invention will be described in detail.

1 is a flowchart of a personalized cosmetic recommendation method according to an embodiment of the present invention.

Referring to FIG. 1, a personalized cosmetic recommendation method according to an embodiment of the present invention includes comparing a product type of a specific cosmetic product with a skin type of a first user, and calculating a basic score for each cosmetic product for the first user (S400); Comparing the skin type of the first user with a component included in the cosmetic product to calculate a component reflection value (S600); (S800) calculating a final unique score of each cosmetic for the first user by applying the component reflection value; And recommending cosmetics conforming to the skin condition of the first user (S1600). Hereinafter, a detailed description of each step will be described.

The computer compares the product type of the specific cosmetic product with the skin type of the first user, and calculates a basic score for each cosmetic product for the first user (S400). As in FIG. 2, the computer matches the skin type and product type of a particular cosmetic product to yield a specific cosmetic product base score for each skin type.

As shown in FIG. 2, the skin type is classified into neutral, oily, dry, and complex based on the degree of water content, and further classified as sensitive (ie, sensitive skin) It is divided into branches. The product type for each cosmetic product is determined by the product type set by the cosmetic manufacturer.

The computer matches the product type and skin type of each cosmetic product to calculate the basic score of each cosmetic product for each skin type. For example, as in Fig. 2, a cosmetic product type set for all dermatoses is given a basic score (e.g., 2 points or 2.1 points) equally or similarly to all skin types. Further, for example, the B cosmetics for which the product type is set for dryness are given the highest basic score for the dry skin type without regard to the sensitivity, and a high basic score in the order of the neutral skin type, complex skin type, . In addition, in one embodiment, the basic score for matching the skin type and the product type is set by the administrator or is accumulated by accumulating the evaluation results for the cosmetics.

The computer compares the skin type of the first user with the component included in the cosmetic product to calculate the component reflection value (S600). That is, in order to calculate a score table suitable for the first user's skin, the computer reflects the components included in each cosmetic product and calculates the component reflection value to be added to or subtracted from the basic score.

The computer obtains the component data for each cosmetic product used in calculating the component reflection value in various ways. For example, a computer may acquire component data contained in a cosmetic product from an external server (e.g., provided by a cosmetic supplier server or collected on-line), or a cosmetic product, Acquired through character recognition in the photographed image. In addition, for example, the computer receives the component data included in each cosmetic product directly from the manager or a specific user using the cosmetic product. If the computer is a server, the computer receives and stores the component data of each cosmetic directly input from the administrator client.

In one embodiment, the computer extracts components (i. E., Influencing components) that affect each skin type from among the ingredients contained in the cosmetic product and reflects the unique score. Specifically, as shown in FIG. 3, the component reflection value calculation step S600 includes: a step (S610) of selecting an influence component classification to be applied according to a user's skin type; And a step (S620) of weighting affirmative factors and negative factors in the selected influencer classifications and then summing the weighting factors to calculate influence component reflectance values (S620). The influencing component includes at least one of a dry influencing component, an intelligent influencing component, and a sensitive influencing component, and is classified into positive and negative factors.

In one embodiment, the computer sets and stores a skin type that each affected component affects. For example, the dry influencing component is set to affect only the dry skin type and the complex skin type, and the oily impact component is set to affect only the oily and complex skin types. Is set to have an influence. Accordingly, as shown in FIG. 4, when the first user is sensitive oily skin, the computer determines the influent component classification to take into account the sensitive influencing component and the oily influencing component (S610).

The computer extracts the components belonging to the affirmative factor and the negative factor in the selected influential component classification, applies a weight (i.e., a score) corresponding thereto, and then adds up the calculated weight to calculate an influence component reflectance value (S620). For example, if the A cosmetics contains 2 affirmative and 1 negative factors, and 2 affirmative factors and 2 negative factors are included in the sensitive influence component, the computer calculates the number of affirmative factor , Multiplied by -0.3, multiplied by -0.3, and multiplied by +0.3, and multiplied by -0.3, to obtain the total value 0.3, which is the first user's skin type Of the total amount of cosmetics. The computer calculates the unique score of the cosmetic A for the first user in addition to the basic score for the cosmetic A,

Further, in another embodiment, the computer assigns different points (i.e., weights) for each type of component. For example, there may be differences in the effect of each component of the negative influence factor of dry influencing factor on skin. Therefore, the computer stores different points (ie, weights) for each component and uses it to calculate the effect component reflection value.

5, the component reflection value calculation step S600 may include extracting a harmful component or a functional component based on the cosmetic component list (S630); And calculating (S 640) the harmful component or the functional component reflection value based on the number or kind of the harmful component or the functional component. First, the computer extracts the components stored in the cosmetic composition list classified as harmful components or functional components. The functional ingredient includes, for example, a whitening improving ingredient, a wrinkle improving ingredient, a pore improving ingredient and the like. The computer multiplies the number of extracted harmful components or functional components by a point (i.e., a weight), and then calculates a sum of the harmful component or the functional component.

For example, as shown in FIG. 6, when two cosmetic ingredients are contained in the cosmetic A, the computer multiplies the number of the harmful component -0.25 by the number, and calculates the reflected value of the cosmetic ingredient A -0.5. When the cosmetic A contains 3 whitening functional ingredients, 2 wrinkle improving ingredients, and 1 pore functional ingredient, the computer calculates 0.2 for the whitening functional ingredient, 0.1 for the wrinkle improving ingredient, 0.1, which is a score for the component, is multiplied by the number of each component, and then 0.9 is calculated as the functional ingredient reflection value of the cosmetic A product.

The computer calculates the second characteristic score of the cosmetic A for the first user in addition to the basic score for the cosmetic A or the unique score (i.e., the first unique score) that reflects the influence component, .

Further, in another embodiment, the computer differently applies the weights according to the functionality the first user is interested in. That is, as shown in FIG. 7, the computer applies the same score (for example, 0.1) to each functional component, and then multiplies the weight by the weight set by the first user to calculate the functional component reflection value. For example, in case of A cosmetics containing three whitening functional ingredients, two wrinkle improving ingredients, and one pore functional ingredient, the computer has a ratio of importance of whitening function, wrinkle improvement and pore improvement of 1: 2: 2 , The functional component reflection value is calculated as 0.9 and the functional component reflection value is calculated differently for the user 2 that sets the whitening function, the wrinkle improvement, and the pore improvement importance ratio to 2: 1: 3 for the user 1 set to .

The first user receives a priority or importance value for each function on the user interface provided to the client of the first user in such a manner that the computer receives the weight for the functional component from the first user. In addition, a method of calculating the degree of importance of whitening, wrinkle improvement, and pore improvement based on the response result on the questionnaire received from the first user by the computer in another way of receiving the weight for the functional component from the first user is applied. That is, the computer analyzes the result of the first user's response to the plurality of questions included in the questionnaire table, and grasps the importance of the first user to each function.

The computer calculates the final unique score of each cosmetic for the first user by applying the component reflection value (S800). That is, the computer adds a component reflection value (for example, an influence component reflection value, a harmful divisional value or a functional divisional value) to a basic score applied to a skin type corresponding to a first user, The score is calculated.

The computer recommends a cosmetic product conforming to the skin condition of the first user (S1600). That is, the computer extracts high-quality cosmetics from the cosmetics recommendation table to which the final unique score is applied, and recommends the cosmetics to the first user.

According to still another embodiment of the present invention, there is provided a method of managing a document, comprising: receiving document data through a client of the first user (SlOO); And calculating a skin type of the first user based on the survey data (S300). Since the users may not know their own skin type, it is necessary to calculate the skin type of the first user. The computer includes the questionnaire data received from the client of the first user as data for calculating the skin type.

8, the method may further include receiving (S200) moisture data of a predetermined number of times or more from the skin condition measuring device of the first user (S200). At this time, the skin type calculation step (S300) reflects the survey data and the moisture data together to calculate the skin type. One embodiment of the skin condition measuring device is a small measuring device capable of carrying a user's skin condition and measuring the skin condition. The skin condition measuring device applies an input alternating current to the skin through an electrode that contacts the skin, and measures the conveying alternating current to be conveyed to calculate the moisture content. Thus, the computer analyzes the questionnaire data for the first user and determines the skin type of the first user, reflecting the moisture obtained by the skin condition measuring device. The computer also determines whether it is a complex skin type, based on the measured moisture levels for a plurality of points on the user's skin.

In yet another embodiment, the method further includes generating (S1100) environmental data by accumulating UV data and humidity data corresponding to the position of the first user. The computer accumulates the UV data or the humidity data for a specific period of time so that the first user grasps environmental characteristics on the activity range and generates environmental data. For example, the computer calculates whether the first user is active in a dry place, based on accumulated UV data or humidity data, and whether or not the user is active in a place with a high UV index.

The UV data and the humidity data are included in measurement data measured by the skin condition measuring device of the first user or weather data received from an external server. For example, the computer acquires UV data or humidity data at a first user's location based on a UV sensor or a humidity sensor included in the skin condition measurement device. Also, for example, the computer receives the current position data measured by the client of the first user, and then receives the humidity or UV data of the current position from an external server (e.g., weather station server).

At this time, in the last unique score calculating step (S1600), the computer calculates the final unique score by reflecting the environmental data of the first user. That is, the computer calculates the third unique score by reflecting the environmental data to the first unique score or the second unique score to which the component reflection value is applied, and calculates the third unique score as the final unique score. For example, the computer calculates a final unique score by adding a point to the first unique score (second unique score if the hazard ranking or functional ingredient reflectance is considered) according to the level of the UV blocking function or the moisturizing function.

In addition, another embodiment includes a step (S900) of accumulating environmental data in which a second user using a particular cosmetic product is exposed; And a step (S1000) of calculating the environmental data ratio and setting the environmental data ratio to the use environment of the specific cosmetics. The environmental data includes UV data or humidity data. If you have cosmetics that do not contain information about the environment in which you use the cosmetics, the computer should generate data about the environment in which the cosmetics are primarily used. First, the computer extracts a second user who uses a particular cosmetic product. Thereafter, the computer extracts environmental data from which the extracted second user is exposed. The computer receives environmental data from an external server based on the location information of each second user or generates environmental data by measuring based on a sensor included in the skin condition measuring apparatus. The environment data for the second user is data analyzed for the environment exposed during the period when the second user uses the cosmetic product. Thereafter, the computer statistically calculates environmental data of a plurality of second users for the cosmetics, and determines an environment corresponding to a high ratio (that is, a specific rate or more) to use the cosmetics.

Further, another embodiment may include accumulating skin condition data within a specific period of use of a specific user of the second user (S1200); Calculating a skin condition change of the second user based on the accumulated skin condition data (S1300); And performing final unique point correction based on the evaluation data corresponding to the skin condition change (S1400). The second user is a user who has measured the skin condition data after using the cosmetic using a skin condition measuring device more than a specific number of times. Not only whether the cosmetic conforms to the skin condition of the first user, but also the improvement rate after the use or evaluation of another user (i.e., the second user) is an important factor in recommending cosmetics. Thus, the computer corrects the final unique score by reflecting the change in skin condition after the second user has used the particular cosmetic for a certain period of time. For example, the computer receives and accumulates the moisture measured over a certain number of times by the skin condition measuring device for a specific period of time (for example, one week) after the second user starts using the particular cosmetic product, do. If the moisture of the second user is improved, the computer determines that the improvement rate of the cosmetic product is high, and adds a bonus to the final unique score. Further, in another embodiment, when there are a plurality of second users, the computer applies different values of the addition points based on the ratio of the second users whose skin condition is improved to a certain level or more.

Further, in another embodiment, a range of a second user for which the computer calculates evaluation data is set. For example, the computer defines a calculation target of evaluation data as a second user having the same skin type as the first user. In this case, first, the computer extracts a user who uses a specific cosmetic product among the second users into a first extraction group. Then, the computer extracts a user having the same skin type as the first user in the first extraction group, 2 extraction group. Thereafter, the computer grasps the degree of improvement of the skin condition of the second user in the second extraction group during the period of using the particular cosmetic product. The computer determines whether the moisture is improved based on the moisture measurement data measured by the second user in the second extraction group for a specific period of time. Thereafter, the computer calculates the percentage of the second user whose skin condition is improved above a certain level in the second extraction group. The computer determines the additive point to apply to the calculation of the final unique score based on the ratio.

Further, another embodiment includes the steps of obtaining (S1700) first skin condition change data of the first user according to a specific cosmetic use, which is measured by the skin condition measuring apparatus; And determining whether to use cosmetics based on the first skin condition change data (S1800). The computer reflects the skin condition (or skin condition) of the first user, and even the recommended cosmetics may not be suitable due to the detailed difference of the skin of each user. Therefore, the computer confirms whether or not the skin condition is improved or deteriorated based on the skin condition change data acquired at a specific period by the skin condition measuring device during the period of using the particular cosmetic, Guide the user.

As described above, the personalized cosmetic recommendation method according to an embodiment of the present invention may be implemented as a program (or an application) to be executed in combination with a computer, which is hardware, and stored in a medium.

The above-described program may be stored in a computer-readable medium such as C, C ++, JAVA, machine language, or the like that can be read by the processor (CPU) of the computer through the device interface of the computer, And may include a code encoded in a computer language of the computer. Such code may include a functional code related to a function or the like that defines necessary functions for executing the above methods, and includes a control code related to an execution procedure necessary for the processor of the computer to execute the functions in a predetermined procedure can do. Further, such code may further include memory reference related code as to whether the additional information or media needed to cause the processor of the computer to execute the functions should be referred to at any location (address) of the internal or external memory of the computer have. Also, when the processor of the computer needs to communicate with any other computer or server that is remote to execute the functions, the code may be communicated to any other computer or server remotely using the communication module of the computer A communication-related code for determining whether to communicate, what information or media should be transmitted or received during communication, and the like.

The medium to be stored is not a medium for storing data for a short time such as a register, a cache, a memory, etc., but means a medium that semi-permanently stores data and is capable of being read by a device. Specifically, examples of the medium to be stored include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like, but are not limited thereto. That is, the program may be stored in various recording media on various servers to which the computer can access, or on various recording media on the user's computer. In addition, the medium may be distributed to a network-connected computer system so that computer-readable codes may be stored in a distributed manner.

According to the present invention as described above, the following various effects are obtained.

First, since a personalized recommendation list is generated in consideration of the user's skin type, interest, and the like, cosmetics that meet the user's needs can be recommended.

Second, since the unique score of cosmetics for recommending cosmetics is calculated in consideration of the relationship between the ingredients contained in the cosmetics and the user's skin, cosmetics that best match the skin condition of the user can be recommended.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

Claims (9)

In a method for recommending cosmetics by a computer,
Receiving a predetermined number or more of the moisture data from the skin condition measuring device of the first user;
Calculating skin type of the first user based on the moisture data;
Comparing a product type of a specific cosmetic product with a skin type of the first user to calculate a basic score for each cosmetic product for the first user;
Comparing the skin type of the first user with a component included in the cosmetic product to calculate a component reflection value to be added to or subtracted from the basic score;
Calculating a final unique score for each cosmetic product for the first user by applying the component reflection value;
Accumulating skin condition data within a specific period of time using a particular cosmetic product of a second user;
Calculating a skin condition change of the second user based on the accumulated skin condition data;
Performing the final unique score correction based on evaluation data corresponding to the skin condition change; And
Recommending a cosmetic product conforming to the skin condition of the first user among the cosmetic products to which the final unique score is applied,
Wherein the second user is a user who has measured skin condition data after using the cosmetic using a skin condition measuring device more than a specific number of times.
The method according to claim 1,
The step of receiving the moisture data comprises:
And determining whether the complex skin type is based on the moisture level measured at a plurality of points on the skin of the first user measured by the skin condition measurement apparatus.
The method according to claim 1,
Extracting a second user having the same skin type as the first user into a first extraction group;
Extracting a second user having the same skin type as the first user from the first extraction group to generate a second extraction group,
Wherein when the second user is a plurality of users, the value of the additive point is differently applied based on a ratio of a second user whose skin condition is improved to a specific level or higher.
The method according to claim 1,
And receiving the inquiry data through the client of the first user,
The skin type calculating step may include:
Wherein the skin type of the first user is calculated based on the survey data and the moisture data.
The method according to claim 1,
Wherein the component reflection value calculating step includes:
Selecting an influence component classification to be applied according to a user's skin type; And
And adding the weighting factors to the affirmative factor and the negative factor in the selected influencer component class,
Said influencing component comprising:
Characterized in that it comprises at least one of a dry influencing component, an oily influencing component, and a sensitive influencing component, and is classified into positive and negative factors.
6. The method of claim 5,
Wherein the component reflection value calculating step includes:
Extracting a harmful component or a functional component based on the cosmetic composition list; and
Further comprising the step of calculating a harmful component or functional component reflection value based on the number or kind of the harmful component or the functional component.
The method according to claim 1,
And generating environmental data by accumulating UV data and humidity data corresponding to the position of the first user,
The final unique score calculating step may include:
Wherein the first user is calculated by reflecting the environment data for the first user,
The environmental data includes:
The method of claim 1, further comprising the steps of: acquiring an environmental characteristic on the activity range of the first user and generating an environmental characteristic based on the measurement data measured by the skin condition measuring device of the first user or the current position data measured by the client of the first user And is included in meteorological data received from the server.
The method according to claim 1,
Obtaining skin condition change data of the first user according to the use of the specific cosmetics measured by the skin condition measuring device;
Determining whether the skin condition of the first user is improved based on the skin condition change data, and determining whether to maintain use of the specific cosmetic.
8. A personalized cosmetic recommendation program stored in a medium for carrying out the method of any one of claims 1 to 8 in combination with a computer which is hardware.

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