Component-based customized hair care product recommendation method

Abstract

The present invention relates to a hair care product recommendation method performed by at least one processor of a computing device and provides a hair care product recommendation method and system, the method comprising the steps of: (a) determining a matching score for each of a plurality of preset efficacies of a hair care product by using state information including one or more of survey information and image information collected from a target; (b) calculating a component efficacy score for each of components included in the hair care product for each of the plurality of preset efficacies; (c) calculating a product efficacy score for each hair care product for each of the plurality of preset efficacies by using the component efficacy scores; and (d) selecting one or more hair care products among a plurality of hair care products by using the matching score determined in step (a) and the product efficacy scores calculated in step (c).

Description

How to Recommend Ingredient-Based Personalized Hair Care Products

[0001] The present invention relates to a method and system for recommending ingredient-based customized hair care products.

[0002]

[0003] With the recent rise in interest in beauty, the market for functional hair care products, including hair loss treatments, treatments, and dyeing, is growing, leading to a surge in demand for at-home hair care. Furthermore, a variety of functional hair care products are being used to address scalp and hair concerns, such as hair loss, nutritional management for damaged hair from frequent dyeing, bleaching, or perms, and excessive sebum production. However, there are concerns that consumers may not find the right product, or that the effectiveness of these products may be minimal, leaving them unable to address their scalp and hair concerns.

[0004] Against this backdrop, the inventors of the present invention have analyzed the scalp and hair condition of each individual and proposed a hair care product containing ingredients suitable for the condition, thereby completing the present invention capable of improving scalp and hair concerns.

[0005] (Patent Document 1) Korean Registered Patent Document No. 10-2450424 (September 28, 2022)

[0006] (Patent Document 2) Korean Patent Publication No. 10-2022-0035828 (March 22, 2022)

[0007] (Patent Document 3) Korean Registered Patent Document No. 10-2090066 (March 11, 2020)

[0008]

[0009] The purpose of the present invention is to provide a method and system for recommending hair care products that are highly similar to the needs of a subject by analyzing each ingredient contained in a hair care product according to its main efficacy related to the scalp and hair.

[0010] In addition, the present invention aims to provide a reliable hair care product recommendation method that accurately analyzes characteristic information of the scalp, hair, and preferred hair care products, and analyzes each ingredient contained in the hair care product by detailed main efficacy.

[0011]

[0012] In order to achieve the above object, one aspect of the present invention provides a method for recommending a hair care product, which is performed by at least one processor of a computing device, comprising: (a) determining a matching score for each of a plurality of preset efficacies of a hair care product using status information including at least one of questionnaire information and image information collected from a subject; (b) calculating an ingredient efficacy score of each ingredient included in the hair care product for each of the plurality of preset efficacies; (c) calculating a product efficacy score of each hair care product for each of the plurality of preset efficacies using the ingredient efficacy scores; and (d) selecting at least one hair care product from among the plurality of hair care products using the matching score determined in step (a) and the product efficacy score calculated in step (c).

[0013] In another aspect of the present invention, the preset plurality of effects may include alleviating hair loss symptoms, improving itchiness, improving excessive sebum in the scalp and hair, improving dandruff and dead skin cells, improving sensitivity, moisturizing the scalp, improving the scalp barrier, balancing oil and moisture in the scalp, improving scalp acne, conditioning hair, and improving seborrheic scalp.

[0014] In another aspect of the present invention, the survey information may include information related to the scalp, hair, and hair care products, including at least hair loss, oiliness, dandruff, itchiness, scalp trouble, and odor, information related to the scalp or hair, information on products in use, and information on preferred products, and response scores to one or more surveys.

[0015] In another aspect of the present invention, the image information may include a scalp or hair image obtained from the subject.

[0016] In another aspect of the present invention, the step (b) may further include the step of calculating the component efficacy score of each component by using a first number of document data in which each component appears in document data searched from the database (b1), a second number of document data in which the preset efficacy appears, and a third number of document data in which each component and the preset efficacy appear simultaneously.

[0017] In another aspect of the present invention, in the step (b), the component efficacy score is calculated using the third number and the expected number, and the expected number is calculated through the following mathematical formula 1, [Mathematical formula 1] Expected number = , where M is a first number, O is a second number, and A may be the total number of document data searched from the database.

[0018] In another aspect of the present invention, the component efficacy score is calculated through the following mathematical formula 2, [Mathematical formula 2] Component efficacy score = , where N is the third number and E may be the expected number.

[0019] In another aspect of the present invention, the step (b) may further include a step of calculating a component efficacy score only for components and efficacy that are determined to have a predetermined correlation between the components and efficacy through a statistical method.

[0020] In another aspect of the present invention, the step (c) may further include a step of calculating a product efficacy score using a corrected ingredient efficacy score obtained by correcting the ingredient efficacy scores using weights determined according to the ingredient content ranking of the ingredients included in the hair care product.

[0021] In another aspect of the present invention, the weight is higher as the ranking of the component content is higher, and a value obtained by multiplying the component efficacy score by the weight can be determined as the corrected component efficacy score.

[0022] In another aspect of the present invention, the step (d) may further include a step of selecting a hair care product having a similarity higher than a preset similarity with the matching score determined in the step (a), among the product efficacy scores calculated for each of a plurality of hair care products.

[0023] In another aspect of the present invention, the similarity can be determined using a matching score for each of a plurality of efficacy and a product efficacy score.

[0024] In another aspect of the present invention, the step (d) may further include a step of classifying into one of a plurality of preset types using the matching score determined in the step (a), and selecting a hair care product according to the classified type.

[0025] In another aspect of the present invention, after step (d), the method may further include a step of updating a matching score for each of a plurality of efficacy factors using additional status information collected from the subject at preset intervals, and selecting one or more hair care products from among the plurality of hair care products using the updated matching score and the product efficacy score calculated in step (c).

[0026] In another aspect of the present invention, the additional collected status information may include a response score for satisfaction with the use of a selected hair care product.

[0027] In addition, one aspect of the present invention for achieving the above object provides a hair care product recommendation system including at least one processor and a memory, wherein the at least one processor performs an operation of determining a matching score for each of a plurality of preset efficacies of a hair care product using status information including at least one of questionnaire information and image information collected from a subject, an operation of calculating an ingredient efficacy score of each ingredient included in a hair care product for each of the plurality of preset efficacies, an operation of calculating a product efficacy score of each hair care product for each of the plurality of preset efficacies using the ingredient efficacy score, and an operation of selecting at least one hair care product from among a plurality of hair care products using the determined matching score and the calculated product efficacy score.

[0028] In addition, one aspect of the present invention provides a computer program stored in a computer-readable recording medium to execute the above-described method.

[0029]

[0030] Through a method and system for recommending hair care products according to an aspect of the present invention, scalp and hair-related information of a subject can be quantified by major efficacy (alleviation of hair loss symptoms, improvement of itchiness, improvement of excessive sebum in the scalp and hair, improvement of dandruff and dead skin cells, etc.) based on condition information, and each ingredient contained in the hair care product can be analyzed by the major efficacy to suggest a hair care product having a high degree of similarity to the condition information collected from the subject. In addition, by analyzing the ingredients of the hair care product by a plurality of subdivided efficacy and selecting a hair care product that takes into account all of the plurality of efficacy (for example, five efficacy), a hair care product that meets the needs of the user can be selected.

[0031] Additionally, by analyzing the ingredients of a product and determining the correlation between each ingredient contained in the hair care product and its main efficacy based on a database, it is possible to recommend reliable hair care products.

[0032] Furthermore, even after recommending hair care products, additional condition information can be periodically collected and updated to reflect the subject's changing scalp condition, allowing for the selection and suggestion of suitable hair care products. Furthermore, the functional hair care effects of hair care products can be assessed through periodic collection of questionnaires or image data from the subject.

[0033]

[0034] FIG. 1 is a schematic block diagram illustrating one aspect of a hair care product recommendation system according to the present invention.

[0035] FIG. 2 is a schematic block diagram illustrating one aspect of a user terminal of the system of FIG. 1.

[0036] FIG. 3 is a schematic block diagram illustrating one aspect of a server of the system of FIG. 1.

[0037] FIG. 4 is a schematic block diagram for explaining the server, user terminal, and data provision server of the system of FIG. 1.

[0038] Figure 5 is a schematic block diagram for explaining the process configuration of the system of Figure 1.

[0039] Figure 6 is a flowchart illustrating one aspect of a method for recommending a hair care product according to the present invention.

[0040] Figure 7 is a flowchart illustrating another aspect of a method for recommending a hair care product according to the present invention.

[0041] Figure 8 is a questionnaire showing the questionnaire and response scores to explain one aspect of the survey information.

[0042] Figure 9 is a diagram showing the matching scores of the target according to multiple efficacy (alleviation of hair loss symptoms (A), improvement of itchiness (I), improvement of excessive sebum of the scalp and hair (O), improvement of dandruff and dead skin cells (D), and improvement of sensitivity (S)).

[0043] Figure 10 is a diagram for explaining the component efficacy scores calculated by efficacy.

[0044] Figure 11 is a diagram visualizing the efficacy scores of each component of Figure 10.

[0045] Figure 12 is a diagram to explain the product efficacy score calculated for each product.

[0046] Figure 13 is a graph showing the effect of improving transepidermal water loss (TEWL) when using a hair care product containing an ingredient that can reduce moisture loss from the scalp.

[0047] Figure 14 is an image showing the effect of improving thickened keratin when using a hair care product containing an ingredient that can reduce moisture loss from the scalp.

[0048]

[0049] Hereinafter, the present invention will be described in more detail through examples. These examples are intended merely to illustrate the present invention and are not to be construed as limiting the scope of the present invention.

[0050] In some cases, to avoid obscuring the concept of the present invention, well-known structures and devices may be omitted or illustrated in block diagram form focusing on the core functions of each structure and device.

[0051] Throughout the specification, when a part is said to "comprising" (or including) a certain component, this does not mean that other components are excluded, but rather that other components can be included, unless specifically stated otherwise. In addition, terms such as "...part," "...unit," and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware, software, or a combination of hardware and software. In addition, the words "a" or "an," "one," "the," and similar related words may be used in the context of describing the present invention (especially in the context of the claims below) to include both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context.

[0052] When describing embodiments of the present invention, detailed descriptions of known functions or configurations will be omitted if they are deemed to unnecessarily obscure the gist of the invention. Furthermore, the terms described below are defined in light of their functions in the embodiments of the present invention and may vary depending on the intent or custom of the user or operator. Therefore, their definitions should be based on the overall content of this specification.

[0053]

[0054] A hair care product recommendation system according to one aspect of the present invention is specifically described with reference to FIGS. 1 to 5.

[0055] The hair care product recommendation system includes a user terminal (100) and a server (200), and may optionally further include a data provision server (300). Here, the user terminal (100) and the server (200) may be separate components, or may be integrated into a single component. In another aspect of the present invention, functions (storage, calculation, output, etc.) performed by the user terminal (100) may also be performed by the server (200), and conversely, functions (storage, calculation, output, etc.) performed by the server (200) may also be performed by the user terminal (100).

[0056]

[0057] The user terminal (100) receives at least one of questionnaire information and image information from a subject, calculates an efficacy matching score based on at least one of the input status and questionnaire information, and selects a hair care product having a similarity higher than a preset similarity. The questionnaire information includes response scores to multiple questionnaires related to the condition of the scalp and hair or preferred hair care products. The questionnaire information input into the user terminal (100) is transmitted to the server (200), and the server (200) calculates an efficacy matching score and selects a hair care product, and the selected hair care product may then be provided to the user terminal (100).

[0058] Referring to FIG. 2, the user terminal (100) includes a communication unit (110), an input unit (120), a memory (130), a processor (140), an output unit (150), a control unit (160), a power supply unit (170), and an interface unit (180).

[0059] The communication unit (110) is configured for communication with an external device, and data transmission and reception with the external device can be possible through the communication unit (110).

[0060] The input unit (120) can receive commands or data to be used in a component (e.g., a processor) of the user terminal (100) from an external source (e.g., a user (subject)) of the server (100). The input unit (120) can receive response scores for multiple questionnaires from the subject, and as an example of the input unit (120), a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen) can be applied. In addition, as another example of the input unit (120), a camera can be applied to obtain image information of the scalp or hair from the subject.

[0061] The memory (130) can store various data used in the user terminal (100). The data stored in the memory (130) may be, for example, survey information, image information, matching scores, predetermined ingredient efficacy scores, or product efficacy scores, and may also include input data or output data for software and commands related thereto.

[0062] Additionally, the memory (130) can store both information input to the user terminal (100) and information generated in the user terminal (100).

[0063] The processor (140) may perform a data processing or calculation function, and as at least a part of the data processing or calculation function, may store commands or data received from other components in a volatile memory, process the commands or data stored in the volatile memory, and store result data in a non-volatile memory. The processor (140) may include an efficacy matching score calculation unit (141), an ingredient efficacy score calculation unit (142), a product efficacy score calculation unit (143), and a product selection unit (144). In addition, the processor (140) of the hair care product recommendation system according to one aspect of the present invention may further include a type classification unit (145).

[0064] The output unit (150) can output information processed or calculated in the user terminal (100) to the outside, and a display and a speaker, etc. can be included here.

[0065] The control unit (160) may, for example, execute software to control one or more other components (e.g., hardware or software components) of the user terminal (100) connected to the processor. The control unit (160) may control the communication unit (110), input unit (120), memory (130), processor (140), output unit (150), power supply unit (170), and interface unit (180) of the user terminal (100).

[0066] The power supply unit (170) supplies power to the user terminal (100). The power supply unit (170) can receive power from an external power source and supply power to the user terminal (100).

[0067] The interface unit (180) can visualize information output from the output unit (150) through an interface.

[0068] At this time, the interface part (180) is not limited to a specific type or shape.

[0069]

[0070] Referring to FIG. 3, the server (200) may include a communication unit (210), an input unit (220), a memory (230), a processor (240), and a control unit (260). The server (200) may also be implemented in the form of a computing device capable of calculation, and a configuration having the same functions as the communication unit (110), input unit (120), memory (130), processor (140), and control unit (160) of the user terminal (100) described above may be applied.

[0071]

[0072] Hereinafter, a method for recommending a hair care product according to one embodiment of the present invention will be specifically described with reference to FIGS. 6 to 12.

[0073] First, when questionnaire information is input from a subject through a user terminal (100), the efficacy matching score calculation unit (141) uses this to determine a matching score for the subject for each of a plurality of preset efficacies. Here, the plurality of preset efficacies may include efficacies resulting from the use of hair care products, and specifically, include alleviation of hair loss symptoms, improvement of itchiness, improvement of excessive oiliness of the scalp and hair, improvement of dandruff and dead skin cells, improvement of sensitivity, scalp moisturizing, improvement of scalp barrier, scalp oil-moisture balance, improvement of scalp acne, hair conditioning, improvement of seborrheic scalp, etc. That is, the efficacy matching score calculation unit (141) uses the response information of the questionnaire to calculate a matching score for each of a plurality of efficacies (alleviation of hair loss symptoms, improvement of itchiness, improvement of excessive oiliness of the scalp and hair, improvement of dandruff and dead skin cells, and improvement of sensitivity). For example, the matching score of subject 1 in Fig. 9 was calculated as 4.5 points for the efficacy of alleviating hair loss symptoms (A), 2.5 points for the efficacy of improving itchiness (I), 2 points for the efficacy of improving excessive sebum in the scalp and hair (O), 1.8 points for the efficacy of improving dandruff and dead skin cells (D), and 3 points for the efficacy of improving sensitivity (S).

[0074] The questionnaire may include questions related to the condition of the scalp, hair, or preferred hair care products, such as the degree of scalp itchiness, the degree of oil and moisture in the scalp and hair, the degree of dandruff and flaking, the degree of scalp sensitivity, the amount of scalp moisture, the degree and frequency of scalp trouble, the degree and frequency of scalp acne, the odor of the scalp or hair, the degree of hair frizzyness, hair length, hair thickness, hair splitting, hair frizzyness, hair tangleness, hair frizz, hair length, hair dyeing, hair loss type, hair loss degree, hair loss area, family history of hair loss, information on products used, fragrance preference, hair care product viscosity preference, and hair care product foam preference. The questionnaire information may include response scores to one or more of the questionnaires related to the condition of the scalp, hair, or preferred hair care products.

[0075] Here, the response score may be input as an input to the questionnaire, for example, as a hierarchical scale indicating the degree to which the subject agrees with the questionnaire. In one embodiment of the present invention, the response score for a questionnaire may be input as any of: not at all (1 point), no (2 points), average (3 points), yes (4 points), or very much so (5 points) (see Figure 8).

[0076] As illustrated in Fig. 8, the questionnaire may be output as sentences or as multiple images representing the condition of the scalp and hair, allowing for accurate collection of scalp and hair condition information (such as the degree of hair loss progression, sebum, dandruff, etc.). When the questionnaire is output as multiple images, the subject can respond by selecting one or more images of the scalp or hair that are judged to be similar to the subject among the multiple images output. In addition, as an example of a response to the questionnaire, image information of the subject's scalp or hair may be entered. In this case, the subject may also respond to the questionnaire by directly entering image information of the scalp or hair.

[0077] In addition, the subject's status information, including questionnaire information and image information, may be periodically collected to update the status information including information on the scalp, hair or hair care products from the subject, and the cycle of printing the questionnaire or collecting the image information may be set to a cycle in which a positive change can be felt in relation to scalp or hair concerns (hair loss symptoms, itchiness, excessive oiliness, dandruff and dead skin cells, sensitivity, moisturizing, scalp barrier, oil-water balance, scalp trouble, hair conditioning or seborrheic scalp) while using the hair care product, and may be set to a period of, for example, one to two weeks.

[0078] Figure 13 is a graph showing the effect of improving transepidermal water loss (TEWL) when using a hair care product containing an ingredient capable of reducing scalp moisture loss. As shown in Figure 13, it was confirmed that the transepidermal water loss decreased over a period of 1 and 2 weeks after using the hair care product. In addition, it was confirmed that the transepidermal water loss was significantly reduced over the period of use when Example 1, a hair care product containing an ingredient capable of reducing scalp moisture loss, was used compared to Comparative Example 1, a hair care product not containing an ingredient capable of improving scalp condition.

[0079] Figure 14 is an image showing the improvement of thickened keratin when using a hair care product containing ingredients capable of reducing scalp moisture loss. Here, thickened keratin is calculated as the ratio of the highest thickened keratin to the total area of ​​collected and analyzed keratin. When using a hair care product containing ingredients capable of reducing scalp moisture loss, the thickened keratin, which was identified as 35.3% in the first week of use, was confirmed to have improved to 11.5% and 3.6% after 1 and 2 weeks, respectively.

[0080] Accordingly, the status information of the hair care product recommendation system according to the present invention can be collected at least once every 1 week or 2 weeks, or at any interval between 1 week and 2 weeks, depending on the ingredients contained in the hair care product, to update the latest status information. Specifically, the status information of subjects whose scalp or hair-related concerns (hair loss symptoms, itchiness, excessive sebum, dandruff and flaking, sensitivity, moisturizing, scalp barrier, oil-water balance, scalp trouble, hair conditioning, or seborrheic scalp, etc.) are collected in the initially collected status information is collected once a week, which is a relatively short interval, so that changes in the scalp and hair condition can be closely observed. In addition, for subjects who did not respond to the questionnaire related to scalp or hair concerns, status information is collected once every 2 weeks, which is a relatively long interval, so that additional scalp and hair-related concerns or status information that may arise can be collected, thereby efficiently managing the scalp and hair health of the subject.

[0081]

[0082] The type classification unit (145) can classify the subject into one of a plurality of preset types using the matching score calculated by the efficacy matching score calculation unit (141). For example, the subject can be classified into the type related to the efficacy with the highest matching score. Referring to FIG. 9, subject 1 has the highest matching score in the efficacy of alleviating hair loss symptoms (A), and thus can be classified as a type requiring alleviation of hair loss symptoms, and subject 4 has the highest matching score in the efficacy of improving dandruff and dead skin cells (D), and thus can be classified as a type requiring improvement of dandruff and dead skin cells. In addition, for the same reason, subject 5 also has the highest matching score in the efficacy of improving sensitivity (S), and thus can be classified as a type requiring improvement of sensitivity.

[0083] As described above, the target type may be a type related to a plurality of preset efficacy (i.e., a type that requires alleviation of hair loss symptoms, a type that requires improvement of itchiness, etc.), or a type related to other scalp and hair characteristics or the characteristics of preferred hair care products. For example, if the target type is classified as a type that requires improvement of excessive oiliness of the scalp and hair, a hair care product containing a high proportion of ingredients that can improve oiliness can be selected to select a product with a high satisfaction level. In addition, the classified target type can be output as visualized information to the target and used for the purpose of enhancing self-understanding of the target. That is, the efficacy matching score calculation unit (141) calculates a matching score based on the survey information, and classifies the target type using the calculated matching score, thereby selecting a hair care product that is expected to have a high satisfaction level based on the survey information collected from the target.

[0084] In addition, the type classification unit (145) can cluster a plurality of collected survey information by subject in the process of classifying the type of the subject using a target type classification analysis model based on the survey information, thereby grouping information with similar characteristics into the same group, and can further include a data preprocessing step such as data normalization.

[0085]

[0086] Next, the ingredient efficacy score calculation unit (142) calculates the ingredient efficacy score of each ingredient included in the hair care product for each of a plurality of preset efficacy based on the search data of the database. The hair care product recommendation system according to an aspect of the present invention can be connected to one or more databases, and the one or more databases can be a public database, but can also be a private database, and can include a thesis database, a medical information database, a pharmaceutical information database, a search portal database, etc. The ingredient efficacy score calculation unit (142) calculates the ingredient efficacy score by using the number of document data in which the ingredient appears, the efficacy appears, or the ingredient and the efficacy appear simultaneously among the document data searchable through the database, and in the present invention, such a database is referred to as a "data provision server (300)" (see FIGS. 1 and 4). This will be described in detail below.

[0087]

[0088] The ingredient efficacy score calculation unit (142) calculates the ingredient efficacy score of each ingredient by using the first number, the second number, and the third number, where the number of document data in which each ingredient included in the hair care product appears is the first number, the number of document data in which a preset efficacy appears is the second number, and the number of document data in which each ingredient and the preset efficacy appear simultaneously is the third number.

[0089] Specifically, the ingredient efficacy score is calculated using the third number and the expected number, and the expected number (E) is calculated using the first number, the second number, and the total number of document data (A) searched from the database (i.e., the number of document data used to confirm the first number and the second number) using the following formula. In addition, the ingredient efficacy score may be determined by converting it into any one value in a predetermined range (e.g., a range of 0 to 5, a range of 0 to 10, etc.) in proportion to the numerical value calculated using the following formula.

[0090] Expected number of cases (E) = (M: 1st number, O: 2nd number)

[0091] Ingredient Efficacy Score = (E: expected number, N: third number)

[0092]

[0093] The ingredient efficacy score calculation unit (142) determines the correlation between each ingredient included in the hair care product for each of a plurality of preset efficacy (alleviation of hair loss symptoms, improvement of itchiness, improvement of excessive oiliness of the scalp and hair, improvement of dandruff and dead skin cells, and improvement of sensitivity) using a statistical method, and calculates the ingredient efficacy score only for the ingredients and efficacy that are determined to have a predetermined correlation. As an aspect of the statistical method for determining the correlation between efficacy and ingredients, a Chi-squared test may be applied, and it is checked whether there is a statistically significant difference between the expected number (E) and the search number (M, O, N), and a p-value is calculated, and if it is less than a preset p-value (e.g., 0.05), it is determined that there is a correlation between the ingredient and the efficacy. If it is determined that the efficacy and the ingredient are correlated, the ingredient calculates an ingredient efficacy score from the efficacy, and the calculation of the ingredient efficacy score may not be performed for an efficacy and an ingredient that are not correlated. For example, if it is determined using a statistical method that there is a correlation between panthenol and the efficacy of alleviating hair loss symptoms, an ingredient efficacy score of panthenol can be obtained in the efficacy category of alleviating hair loss symptoms, and if it is determined that there is a correlation between panthenol and another efficacy (improving itchiness, improving excessive oiliness of the scalp and hair, etc.), an ingredient efficacy score of panthenol can also be obtained independently in the efficacy category of that efficacy. Referring to FIG. 10, the ingredient efficacy score of ingredient a has an ingredient efficacy score of 5.0 points in the efficacy category of alleviating hair loss symptoms (A), an ingredient efficacy score of 2.8 points in the efficacy category of improving excessive oiliness of the scalp and hair (O), and an ingredient efficacy score of 2.5 points in the efficacy category of improving sensitivity (S).

[0094]

[0095] Next, the product efficacy score calculation unit (143) corrects the ingredient efficacy score using the weights determined according to the ingredient content ranking of the ingredients included in the hair care product. Here, the higher the ingredient content ranking, the greater the weight, and the value obtained by multiplying the ingredient efficacy score by the weight is determined as the corrected ingredient efficacy score. As one aspect of the weight, it can be calculated as the inverse of the ingredient content ranking. If the ingredient content ranking of one of the ingredients included in the hair care product is N, the weight for determining the corrected ingredient efficacy score is (N is a natural number). For example, the corrected ingredient efficacy score of the ingredient with the third highest content in a hair care product is is calculated. After the correction ingredient efficacy score is determined, the product efficacy score calculation unit (143) calculates the product efficacy score by adding up the correction ingredient efficacy scores of each ingredient included in the hair care product for each of the preset multiple efficacy scores (see Fig. 12).

[0096] Product Efficacy Score =

[0097] In addition, as another aspect of the method for recommending a hair care product according to the present invention, the ingredient efficacy score and product efficacy score may be calculated using scores pre-stored in a database, and the pre-stored scores may be scores entered by an expert. For example, in the category of dandruff and keratin improvement (D) of ingredient A, the ingredient efficacy score may be pre-stored in the database as 3.3, and the product efficacy score of product B may be determined based on the weights of each ingredient pre-stored in the database.

[0098] Next, the product selection unit (144) selects a hair care product having a matching score determined using the questionnaire information and a similarity level above a certain level among the product efficacy scores calculated for each of the multiple hair care products. Here, the similarity level can be preset (e.g., 90%) and is determined by comparing the matching score and the product efficacy score for each of the multiple efficacy levels. By comparing the matching score and the product efficacy score for each of the multiple efficacy levels, rather than just a single efficacy level, and selecting a hair care product that reflects the similarity level of all of them, a recommendation of a hair care product suitable for the user's needs can be made.

[0099] That is, the product selection unit (144) can suggest a product suitable for use in terms of efficacy based on the ingredients of the hair care product based on the information collected from the subject. Additional survey information including information on the scalp, hair, or hair care product can be repeatedly collected at regular intervals, a matching score can be updated based on the additionally collected information, and the updated matching score can be compared with the product efficacy score to suggest a hair care product containing optimal ingredients. Furthermore, the cycle can be set to a short cycle of less than one month (e.g., a cycle of two weeks or one week) to enable accurate analysis based on accumulated scalp and hair information. Furthermore, information on the feel of the previously proposed hair care product and the level of satisfaction with the hair care product can be collected to suggest a hair care product with high satisfaction by reflecting the subject's changing scalp condition. That is, the hair care product recommendation system according to the present invention additionally collects survey information on the scalp, hair, and hair care product in use from the subject at preset intervals, periodically analyzes the subject's scalp and hair condition, and makes additional suggestions of hair care products reflecting the analysis. Therefore, the system can be continuously provided to the subject as a hair care product recommendation service. Specifically, after using the proposed hair care product, the user's satisfaction can be assessed by collecting information including scalp and hair loss status information (including itchiness, sensitivity, degree of dandruff and dead skin cells, degree of hair conditioning, degree of hair loss, degree of oiliness, etc.) and condition information about the proposed hair care product (scent, feel, viscosity, foam, formulation, etc.). In addition, additional hair care product suggestions can be made based on the user satisfaction. In addition, if the user satisfaction is greater than a preset value, a suggestion related to a regular subscription service can be output, thereby providing a continuous hair care product recommendation system to the target.That is, by providing the hair care product recommendation system in the form of a paid service that can be subscribed to for a short or long term, a fixed amount can be paid in a lump sum from the target or at regular intervals (e.g., monthly).

[0100] Hair care products selected by the product selection unit (144) may be provided to the user in a visible form, for example, through the output unit (150), and multiple hair care products, rather than a single hair care product, may be listed in order of similarity and provided to the user.

[0101]

[0102] From the above description, those skilled in the art will understand that the present invention can be implemented in other specific forms without altering its technical spirit or essential characteristics. In this regard, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention should be interpreted as encompassing all changes or modifications derived from the meaning and scope of the following claims and their equivalent concepts, rather than the detailed description above.

[0103]

[0104] (Explanation of symbols)

[0105] 100: User terminal

[0106] 110: Communications Department

[0107] 120: Input section

[0108] 130: Memory

[0109] 140: Processor

[0110] 141: Efficacy Matching Score Calculation Unit

[0111] 142: Ingredient efficacy score calculation unit

[0112] 143: Product efficacy score calculation unit

[0113] 144: Product Selection Department

[0114] 145: Type Classification Department

[0115] 150: Output section

[0116] 160: Control unit

[0117] 170: Power supply

[0118] 180: Interface section

[0119] 200: Server

[0120] 210: Communications Department

[0121] 220: Input section

[0122] 230: Memory

[0123] 240: Processor

[0124] 300: Data provider server

Claims

1. A method for recommending a hair care product, performed by at least one processor of a computing device, (a) a step of determining a matching score for each of a plurality of preset efficacy of a hair care product using status information including at least one of survey information and image information collected from a subject; (b) a step of calculating an ingredient efficacy score of each ingredient included in the hair care product for each of the plurality of preset efficacy; (c) a step of calculating a product efficacy score of each hair care product for each of the plurality of preset efficacy scores using the above ingredient efficacy scores; and (d) a step of selecting at least one hair care product among a plurality of hair care products using the matching score determined in step (a) and the product efficacy score calculated in step (c); How to recommend hair care products.

2. In paragraph 1, The above preset multiple effects are: It includes alleviating hair loss symptoms, improving itchiness, improving excessive sebum in the scalp and hair, improving dandruff and dead skin cells, improving sensitivity, moisturizing the scalp, improving the scalp barrier, balancing oil and moisture in the scalp, improving scalp acne, conditioning hair, and improving seborrheic scalp. How to recommend hair care products.

3. In paragraph 2, The above survey information is: As information related to scalp, hair and hair care products, Including at least one of the following: scalp or hair-related information, including hair loss, oiliness, dandruff, itchiness, scalp trouble, and odor; information on products being used; and information on preferred products; and response scores to one or more questionnaires. How to recommend hair care products.

4. In paragraph 2, The above image information includes a scalp or hair image obtained from the subject. How to recommend hair care products.

5. In paragraph 1, Step (b) above, (b1) further comprising a step of calculating the component efficacy score of each component by using a first number of document data in which each component appears in document data searched from a database, a second number of document data in which the preset efficacy appears, and a third number of document data in which each component and the preset efficacy appear simultaneously. How to recommend hair care products.

6. In paragraph 5, Step (b) above, The above ingredient efficacy score is calculated using the third number and the expected number, and the expected number is calculated using the following mathematical formula 1. [Mathematical Formula 1] Expected number = Here, M is the first number, O is the second number, and A is the total number of document data searched from the database. How to recommend hair care products.

7. In paragraph 6, The above ingredient efficacy score is calculated using the following mathematical formula 2. [Equation 2] Ingredient Efficacy Score = Here, N is the third number and E is the expected number, How to recommend hair care products.

8. In paragraph 7, Step (b) above, A step of calculating ingredient efficacy scores only for ingredients and efficacy that are determined to have a certain correlation between the ingredients and efficacy through a statistical method; further comprising; How to recommend hair care products.

9. In paragraph 5, Step (c) above, A step of determining a corrected ingredient efficacy score by correcting the ingredient efficacy scores using weights determined according to the ingredient content ranking of the ingredients included in the hair care product, and calculating a product efficacy score using the corrected ingredient efficacy score, How to recommend hair care products.

10. In paragraph 9, The above weight is higher as the ranking of ingredient content is higher. The value obtained by multiplying the above ingredient efficacy score by the above weight is determined as the above correction ingredient efficacy score. How to recommend hair care products.

11. In paragraph 10, Step (d) above, A method further comprising: selecting a hair care product among the product efficacy scores calculated for each of a plurality of hair care products, wherein the hair care product has a similarity higher than a preset similarity with the matching score determined in step (a). How to recommend hair care products.

12. In paragraph 11, The above similarity is determined using the matching score for each of the multiple efficacy and the product efficacy score. How to recommend hair care products.

13. In paragraph 2, Step (d) above, A step of classifying into one of a plurality of preset types using the matching score determined in step (a) and further including a step of selecting a hair care product according to the classified type, How to recommend hair care products.

14. In paragraph 1, After step (d) above, A method further comprising: updating a matching score for each of a plurality of efficacy factors using additional status information collected from the target at preset intervals; and selecting at least one hair care product from among a plurality of hair care products using the updated matching score and the product efficacy score calculated in step (c). How to recommend hair care products.

15. In paragraph 14, The above additional collected status information includes a response score for satisfaction with the use of the selected hair care product. How to recommend hair care products.

16. At least one processor; and memory; including; At least one processor, An operation of determining a matching score for each of a plurality of preset efficacy of a hair care product using status information including at least one of survey information and image information collected from a subject; An operation of calculating an ingredient efficacy score of each ingredient included in a hair care product for each of the plurality of preset efficacy effects; An operation of calculating a product efficacy score for each hair care product for each of the plurality of preset efficacy scores using the above ingredient efficacy scores; and An operation of selecting one or more hair care products from among a plurality of hair care products using the determined matching score and the calculated product efficacy score; Hair care product recommendation system.

17. Stored in a computer-readable recording medium to execute the method according to any one of the preceding paragraphs. Computer program.

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