CN114691968A - Skin care recommendation method and system - Google Patents
Skin care recommendation method and system Download PDFInfo
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- CN114691968A CN114691968A CN202011613988.0A CN202011613988A CN114691968A CN 114691968 A CN114691968 A CN 114691968A CN 202011613988 A CN202011613988 A CN 202011613988A CN 114691968 A CN114691968 A CN 114691968A
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Abstract
The invention discloses a skin care recommendation method and a skin care recommendation system, which belong to the technical field of skin care, and comprise the following steps: obtaining the attribute and function of the skin care product components; establishing a component scoring model based on the attributes and functions of the components; obtaining a score for the ingredient based on the ingredient scoring model; matching the skin care product ingredients with skin types based on ingredient scores and functions of the skin care product ingredients to obtain skin care product ingredient recommendations. The method comprises the steps of quantifying the functions and attributes of skin care product components, grading the components based on the functions and quantified components, matching the scores with skin types, and obtaining recommended skin care product components, wherein the quantified values reflect the attributes and functions of the components, so that the skin care product components are favorably screened and sorted, the recommended skin care product components are conveniently generated, the selection depending on the functions or characters and experiences of the attributes is avoided, and the most suitable skin care product components are favorably obtained.
Description
Technical Field
The invention relates to the technical field of skin care, in particular to a skin care recommendation method and system.
Background
The skin, as the largest organ of the human body, not only plays the roles of perspiration, cold and heat feeling and pressure, but also plays the role of a 'protector', and effectively protects various tissues and organs in the body from physical, mechanical, chemical and pathogenic microbial attacks. Skin health is increasingly being viewed by people, and more time and resources are spent on skin management.
Healthy skin is not limited to the skin disease, and skin color, anti-acne, anti-wrinkle, moisture retention, and the like are all the evaluation indexes of healthy skin. The health of the skin is related to a number of factors, such as the skin flora, the use of skin care products, the use of cosmetics, etc. The skin care product, namely the product for protecting the skin, has the functions of beautifying and face, can enhance the elasticity and vitality of the skin, and can make people young and beautiful after being frequently used. Has become an important means for skin health management.
However, skin care products and their ingredients are very diverse and have different characteristics. Human skin is different in that it is classified into oily skin, dry skin, neutral skin, mixed skin and allergic skin, and skin care products for different skins are different in composition. Even skin care product components with the same functions have different performances, and when the skin care product components are selected, the skin care product components usually cannot be obtained according to limited data and experience.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a skin care recommendation method and a skin care recommendation system, which are used for obtaining skin care product component recommendation or skin care recommendation matched with skin types by classifying and grading skin care product components.
The invention discloses a skin care recommendation method, which comprises the following steps: obtaining the attribute and function of the skin care product components; establishing a component scoring model based on the attributes and functions of the components; obtaining a score for the ingredient based on the ingredient scoring model; and obtaining skin care product ingredient recommendations based on ingredient scores and functions of the skin care product ingredients, and matching with skin types.
Preferably, the attributes of the skin care product components comprise source, safety, active ingredients and pox-causing risk, and the functions comprise using purpose and function number;
establishing a component scoring model based on the attributes of the components:
scorer＝λ1×quascore+λ2×nf fscore+λ3×actscore+λ4×risk_score+λ5×rfa_score
wherein r is defined as the constituent, scorerDefined as the score of component r, quascoreAs a source score, nf fscoreScore the number of functions, actscoreDefined as the active ingredient score, risk score as the safety score, rfa score as the pox risk score, lambda1、λ2、λ3、λ4And λ5Respectively, the scoring weights.
Preferably, the attributes of the skin care product ingredients further include activity,
the component scoring model is as follows:
scorer＝λ1×quascore+λ2×nf fscore+λ3×actscore+λ4×riskscore+λ5×rfascore+λ6×actsscore
wherein actsscoreDefined as the activity score, lambda6Defined as the weight of the activity score.
Preferably, the functions comprise anti-aging, anti-wrinkle, oil control, heat preservation, anti-blackening, anti-plaque, anti-inflammation and anti-acne.
Preferably, matching skin type, obtaining recommended skin care ingredients comprises: acquiring skin types and functions thereof; screening skin care product components based on the function to obtain a first skin care product component; and matching the first skin care product component based on the function strength of the skin type to obtain the recommended skin care product component.
Preferably, the assessment of the skin type's functional strength comprises one or a combination of index scores obtained by the following methods:
according to the gene sequence related to the skin type and the strength of the function of the mutation site of the gene sequence, scoring the sample to obtain a first skin type score;
scoring the sample skin flora according to the degree of harm or benefit to obtain a second skin type score;
carrying out image detection on the skin, and grading the result of the image detection according to qualitative analysis of the image detection to obtain a third skin type score;
detecting the skin type, grading the skin type detection indexes, and grading the skin type according to the grade and the detection result to obtain a fourth skin type score;
obtaining regional environment data, classifying the influence of the regional environment data on skin according to the environmental data, wherein the categories comprise heat preservation, sun protection and soothing and anti-allergy, grading the environmental data, and grading and scoring the regional environment according to the grades to obtain an environmental type score;
and acquiring a metabolic index related to the skin type, classifying and grading the metabolic index, and grading the metabolic index according to the grade to acquire a sixth skin type score.
Preferably, the skin care product ingredient matching method comprises the following steps:
accumulating the index scores according to the function classification to obtain function scores;
and matching the functional score with the component score to obtain the recommended skin care product component.
Preferably, the method of the present invention further comprises a skin care product recommendation method: establishing a skin care product database, wherein the skin care product database comprises skin care product functions and skin care product components; matching skin care products in the skin care product database based on the recommended skin care product components to obtain a skin care product recommendation list, wherein the skin care product recommendation list comprises at least one skin care product.
Preferably, another skin care product recommended method: establishing a skin care product database, wherein the skin care product database comprises skin care product functions and skin care product components; classifying the skin care product components according to the functions of the components to obtain component classes; based on the component scoring model, scoring and accumulating the skin care product components in the component classification to obtain a functional score; and obtaining a skin care product recommendation list corresponding to the skin type based on the skin care product functions and the function scores, wherein the skin care product recommendation list comprises at least one skin care product.
Skin care products include infants, pregnant women, men, and women; and screening recommended skin care products based on the skin care product types.
The invention also provides a system for realizing the method, which comprises a skin care product component module, a component grading module and a recommending module,
the skin care product component module is used for acquiring the attributes and functions of skin care product components;
the component scoring module is used for establishing a component scoring model based on the attributes and functions of the components and acquiring the scores of the components based on the component scoring model;
the recommending module is used for obtaining the recommended skin care product components based on the component scores and functions of the skin care product components and matched with the skin types.
Preferably, the system of the invention further comprises a skin care product recommending module, wherein the skin care product recommending module is used for establishing a skin care product database, and the skin care product database comprises skin care product functions and skin care product components; classifying the skin care product components according to the functions of the components to obtain component classes; based on the component scoring model, scoring and accumulating the skin care product components in the component classification to obtain a functional score; and obtaining a skin care product recommendation list corresponding to the skin type based on the skin care product functions and the function scores, wherein the skin care product recommendation list comprises at least one skin care product.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of quantifying the functions and attributes of skin care product components, grading the components based on the functions and quantified components, matching the scores with skin types, and obtaining recommended skin care product components, wherein the quantified values reflect the attributes and functions of the components, so that the skin care product components are favorably screened and sorted, the recommended skin care product components are conveniently generated, the selection depending on the functions or characters and experiences of the attributes is avoided, and the most suitable skin care product components are favorably obtained.
Drawings
FIG. 1 is a flow chart of a skin care recommendation method of the present invention;
FIG. 2 is a flow chart of a method of obtaining recommended skin care ingredients that match skin types;
FIG. 3 is a flow chart of a method of skin care product recommendation in example 1;
FIG. 4 is a flow chart of a method of skin care product recommendation in example 2;
FIG. 5 is a logical block diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the following drawings:
a skin care recommendation method, as shown in fig. 1, the method comprising:
step 101: obtaining the attribute and function of the skin care product component. It is possible to build a database based on existing skin care product ingredients, with the attributes and functions of the ingredients as fields.
Step 102: and establishing a component scoring model based on the attributes and functions of the components.
Step 103: and acquiring the component scores based on the component score model. The ingredient score is a quantitative value for the attributes and functions of the ingredient based on which skin care product ingredients can be screened and ranked.
Step 104: matching the skin care product ingredients with skin types based on ingredient scores and functions of the skin care product ingredients to obtain skin care product ingredient recommendations. In one embodiment, multiple recommended skin care product ingredients can be matched to form a recommendation list, an optimal ingredient can be selected from the recommendation list for recommendation, and multiple skin care product ingredients can also be recommended simultaneously. The skin type can be detected by a skin detector, and according to functions, the skin type can comprise oil control and heat preservation, anti-inflammation and anti-acne, anti-blackening and anti-stain, anti-wrinkle and anti-aging, but not limited to, if dry skin belongs to the oil control and heat preservation skin type.
According to the method, the functions and attributes of the skin care product components are quantified through the scoring model, the components are scored based on the functions and quantified components and are matched with skin types to obtain recommended skin care product components, the quantified values reflect the attributes and functions of the components, screening and sequencing of the skin care product components are facilitated, generation of skin care product component recommendation or skin care recommendation is facilitated, selection depending on characters and experiences of the functions or the attributes is avoided, and the most suitable skin care product components are obtained. The use of skin care product components gradually becomes important content of skin care, and the skin care is recommended through the recommendation of the skin care product components.
Wherein the attributes of the skin care product components can comprise sources, safety, active ingredients and pox-causing risks, and the functions comprise using purposes and function numbers;
establishing a component scoring model based on the attributes of the components:
scorer＝λ1×quascore+λ2×nf fscore+λ3×actscore+λ4×risk_score+λ5×rfa_score
wherein r is defined as the constituent, scorerDefined as the score of component r, quascoreAs a source score, nf fscoreScore the number of functions, actscoreDefined as the active ingredient score, risk score as the safety score, rfa score as the pox risk score, lambda1、λ2、λ3、λ4And λ5Respectively, the scoring weights.
Wherein the source may include human-related components, microbial components, animal components, plant components, chemical components and mineral components, and the source score is calculated as follows:
the function score, in one embodiment, is calculated by the following formula:
nf fscore＝α×nff
nff is defined as the number of functions and α is the function scoring coefficient and can be set to 10.
The calculation method of the score of the active ingredients comprises the following steps:
wherein Y is defined as having an active ingredient,
defined as null, i.e. an active ingredient score of 10 with active ingredient and 0 without active ingredient.
The safety score represents the safety of the skin care product ingredients, with higher safety scores ranging from 0 to 10 in one embodiment.
The pox causing risk score was evaluated in a negative score:
namely, the score is-400 when the risk of causing pox exists, and the score is 0 when the risk of causing pox does not exist, but the specific score value of the risk of causing pox can be adjusted according to actual needs.
In one embodiment, magnesium PCA, 1, 2-butanediol, 1, 2-hexanediol, 1, 2-pentanediol were selected for scoring as shown in the following table:
wherein, in the calculation of the score 1, λ1、λ2、λ3、λ4And λ5Respectively taking the values as 1; in the calculation of score 2, λ1＝1、λ2＝1、λ3＝0.5、λ4＝1、λ5＝1。
But not limited to, a score for functional activity may also be calculated in the score:
scorer＝λ1×quascore+λ2×nf fscore+λ3×actscore+λ4×riskscore+λ5×rfascore+λ6×actsscore
wherein actsscoreDefined as the activity score, lambda6Defined as the weight of the activity score. For example, for skin care product components with moisturizing function, different components have different activity scores reflecting different moisturizing abilities. Namely, the skin care product component with strong moisturizing capability has higher activity score.
The skin care product has the functions of resisting senility, resisting wrinkles, controlling oil, keeping moisture, resisting black, resisting spots, resisting inflammation and eliminating acne.
As shown in fig. 2, the method of obtaining recommended skin care ingredients includes:
step 201: the skin type and its function are obtained. If the skin type is dry skin, the function of oil control and heat preservation is strong and weak. The quantitative assessment may be by way of scoring the function of the skin type, and the qualitative assessment may also be by way of scoring the function of the skin type.
Step 202: screening skin care product components based on the function to obtain a first skin care product component. Such as screening with the functions of oil control and moisture retention.
Step 203: and matching the first skin care product component based on the function strength of the skin type to obtain the recommended skin care product component.
In one particular embodiment, the following matching strategy is adopted: the skin type with strong function is matched with the skin care product component with lower function score; weak skin types match skin care ingredients with higher scores. For example, the skin care product component with stronger moisture retention is matched with the dry skin, namely the skin care product component with higher moisture retention function and higher score, such as the skin care product component with the score of 100-120.
The functional strength assessment of the skin type comprises one or a combination of the following index scores:
according to the gene sequence related to the skin type and the strength of the function of the mutation site of the gene sequence, scoring the sample to obtain a first skin type score;
scoring the sample skin flora according to the degree of harm or benefit to obtain a second skin type score;
carrying out image detection on the skin, and grading the result of the image detection according to qualitative analysis of the image detection to obtain a third skin type score;
detecting the skin type, grading the skin type detection indexes, and grading the skin type according to the grade and the detection result to obtain a fourth skin type score;
obtaining regional environment data, classifying the influence of the regional environment data on skin according to the environmental data, wherein the categories comprise moisture retention, sun protection and soothing and anti-allergy, grading the environmental data, and grading and scoring the regional environment according to the grades to obtain an environmental type score;
and acquiring a metabolic index related to the skin type, grading the metabolic index, grading and scoring the metabolic index according to the grade, and acquiring a sixth skin type score.
Wherein, the environmental data comprises air temperature, relative humidity, ultraviolet intensity and pollen concentration, wherein the category of the relative temperature is moisture retention, the category of the ultraviolet intensity is sunscreen, the category of the pollen concentration is soothing and anti-allergy, and the scoring method comprises the following steps: the optimal grade can be obtained, and the score is calculated according to the distance between the optimal grade and the detection grade. The environment has a large influence on the skin, and the environmental factors are added into the skin care recommendation calculation, so that the recommendation is more accurate, the region recommended by the skin care product is embodied, for example, a region with sufficient sunlight has stronger ultraviolet intensity, the sun protection score of the index score is improved, and the skin care product component or the skin care product with stronger sun protection is matched.
Among the metabolic indicators related to skin type include blood lipid, blood pH, total bile acid, etc. The scoring method comprises the following steps: the optimal grade can be obtained, and the score is calculated according to the distance between the optimal grade and the detection grade.
The method for matching the components of the skin care product comprises the following steps:
accumulating the index scores according to the function classification to obtain function scores;
and matching the functional score with the skin care product component score to obtain a recommended skin care product component. Where the matching policy should be configurable.
Example 1
The method of the present invention may also be applied to skin care or cosmetic recommendations. As shown in fig. 3, the following is explained by taking the recommendation of skin care products as an example:
step 301: and establishing a skin care product database, wherein the skin care product database comprises skin care product functions and skin care product components.
Step 302: matching skin care products in the skin care product database based on the recommended skin care product components to obtain a skin care product recommendation list, wherein the skin care product recommendation list comprises at least one skin care product.
In a specific embodiment, multiple recommended skin care products can be matched to form a recommendation list, an optimal skin care product can be selected from the recommendation list for recommendation, and multiple skin care products can also be recommended simultaneously.
Example 2
As shown in fig. 4: unlike example 1, the algorithm recommended for skin care products is different:
step 401: and establishing a skin care product database, wherein the skin care product database comprises skin care product functions and skin care product components.
Step 402: and classifying the skin care product components according to the functions of the components to obtain component classes. Taking the oil-controlling and moisture-preserving function as an example, the oil-controlling and moisture-preserving component classification can be obtained.
Step 403: and based on the component scoring model, scoring and accumulating the skin care product components in the component classification to obtain a functional score.
Step 404: and obtaining a skin care product recommendation list matched with the skin type based on the skin care product functions and the function scores, wherein the skin care product recommendation list comprises at least one skin care product.
The skin care product generally comprises a plurality of components, each component can be scored through the scoring model, and the scores of the components are accumulated to obtain the score of the function. The function of skin care products is often described more briefly, and the function score is a quantification of skin care product function. Based on the quantized value matching the skin type, a matching reference value is provided.
Skin care product ingredients or skin care products can also be classified by function, or by the appropriate population, such as infants, pregnant women, men, and women. After the skin care recommendation method is used for screening suitable crowd classification, recommendation is carried out by the skin care recommendation method.
Example 3
The method of obtaining a first skin type score comprises:
step 1001: and screening the gene sequence related to the skin type and the mutation site thereof. The gene sequences and the mutation sites thereof related to the skin types can be obtained from each public gene library or other public information, for example, the mutation site of rs7501331 is C/T, the mutation site of rs1801133 is C/G/T, and the mutation site of rs9923231 is G/A/T/C.
Step 1002: based on the gene sequence and the function of the mutation site, a category is set for the gene sequence. For example, the categories include one or a combination of the following: anti-inflammatory and anti-acne, anti-wrinkle and anti-aging, anti-inflammatory and anti-acne, anti-black and anti-stain, oil control and moisture retention.
Step 1003: collecting a sample, and detecting the gene sequence and the mutation site of the sample. In one embodiment, saliva samples are collected and tested by a gene chip method, but not limited thereto, skin samples and hair samples may be collected. And an SNP database can be constructed according to the detected sample gene sequence and the mutation site thereof for data analysis.
Step 1004: and classifying the gene sequences and the mutation sites of the samples based on the categories to obtain the sample sequences under the categories. The sample gene sequences may be matched to the screened gene sequences to obtain a classification of the sample gene sequences.
Step 1005: and scoring the sample sequences under the category based on the functional strength of the mutation sites to obtain category scores. If, according to the function intensity, scoring the set site of the mutation site, and then obtaining the score of the gene sequence containing the mutation site:
wherein r is defined as the gene sequence, j is defined as the set-variable site, n is defined as the total number of gene sequences, scorerScore expressed as the Gene sequencer，jExpressed as the score of the mutation site.
Step 1006: based on the category and the category score, a first skin type score is obtained.
The quantitative data of the skin types are obtained by collecting samples, detecting the gene sequences and the mutation sites thereof, classifying and grading the gene sequences, and accurately evaluating the skin types of the samples, thereby being beneficial to the health management and nursing guidance of the skin.
Example 4
The method for obtaining the second skin type score comprises the following steps:
step 1101: skin samples were collected and tested for skin flora. The skin can be sampled at multiple points, and the detection of skin flora can be performed by a gene chip method, but is not limited to the method.
Step 1102: classifying the skin flora according to functions, and scoring the flora of each category to obtain category scores. The category score may be obtained by a weighted summation of the species scores under each category. The categories may include one or a combination of the following: resisting aging, removing wrinkle, controlling oil, keeping warm, resisting black, resisting speckle, resisting inflammation, and eliminating acne.
Wherein the model for scoring by hazard or benefit programs is:
wherein, the levelfloraExpressed as strain scores;
the formula for summing the scores of the species in the first population is:
wherein score _ flora is the score of the first flora, (result)flora)iExpressed as the strains obtained by the detection,
expressed as the sum of the species scores.
Step 1103: and obtaining a second skin type score according to the category score.
The skin flora is detected, classified and classified to reflect the micro-ecological environment of the skin flora, and a second skin type score is obtained based on the classification score, so that the skin can be managed finely, and the skin health can be improved; accordingly skin care recommendations may include recommendations for antimicrobial agents, recommendations for anti-aging anti-wrinkle treatments, recommendations for appropriate anti-skin ingredients, or recommendations for appropriate cosmetics to modulate flora and micro-ecology.
Example 5
Method for obtaining a third skin type score:
step 1201: and carrying out image detection on the skin to obtain a detection result.
Step 1202: and dividing index grades for indexes of the image detection.
Wherein the index comprises one or a combination of the following: skin tone, wrinkles, pigmentation, pores and skin elasticity. Taking skin elasticity detection as an example, detection can be performed by a skin elasticity tester, and generally, the detected elasticity characteristic value range is between 0 and 1, and then classification can be performed according to the elasticity characteristic value, and the classification is divided into 4 grades: 0-0.5 for grade 1, 0.5-0.7 for grade 2, 0.7-0.9 for grade 3, and 0.9-1 for grade 4.
Step 1203: and obtaining the detection grade of the detection result according to the index grade, and carrying out qualitative analysis on the detection result. For example, if the detection result is 0.6, the rank is 2 according to the setting of the rank division, and the qualitative analysis is general elasticity.
Step 1204: and obtaining an optimal grade according to qualitative analysis, obtaining a detection score based on the distance between the detection grade and the optimal grade, classifying and summing the detection score, and obtaining a third skin type score.
Based on the distance between the detection grade and the optimal index grade, the calculation formula for calculating the detection result score is as follows:
wherein the content of the first and second substances,
quantitative data defined as a detection result, optimal (MAP) defined as quantitative data of an optimal grade of the detection index can be set as a constant, such as 12.5, theta is expressed as a grade attenuation coefficient, such as 2.5, i is defined as the detection index, j is defined as the detection grade, optimal (j) is defined as the optimal grade of the detection index, and | j-optimal (j) l is defined as the grade difference between the detection grade and the optimal grade.
Example 6
The method of obtaining a fourth skin type score comprises:
step 1301: and detecting the skin type of the skin to obtain a detection result.
The skin quality can be detected directly by a skin detector, or by sampling a skin sample and detecting the skin sample. The detected indicator may comprise one or a combination of the following: water content, pH, sebum, cohesion, cell average radius, homogeneity and sensitivity.
Step 1302: and grading the detection indexes of the skin. The skin detection result is usually a specific numerical value, and is graded according to the conditions of detected people, so that the qualitative judgment of the detection result is facilitated.
Step 1303: and obtaining the detection grade of the index according to the index grade and the detection result.
Step 1304: and obtaining the optimal grade of the index, obtaining detection scores based on the distance between the detection grade and the optimal grade, classifying and summing the detection scores, and obtaining a fourth skin type score.
By dividing the index grade of the detection result of the skin type, presetting skin care recommendation for the detected index grade and matching the corresponding detection grade and skin care recommendation according to the detection result, the method is beneficial for the examinee to attach importance to and know the detection result and care skin and attach importance to skin care and skin health management.
The invention also provides a system for implementing the method, as shown in fig. 5, comprising a skin care product component module 1, a component scoring module 2 and a recommending module 3,
the skin care product component module 1 is used for acquiring the attributes and functions of skin care product components;
the component scoring module 2 is used for establishing a component scoring model based on the attributes and functions of the components and acquiring the scores of the components based on the component scoring model;
and the recommending module 3 is used for matching the skin care product components with the skin types based on the component scores and functions of the skin care product components to obtain recommended skin care product components.
The system may further include a skin care product recommending module 4, wherein the skin care product recommending module 4 is configured to: establishing a skin care product database, wherein the skin care product database comprises skin care product functions and skin care product components; classifying the skin care product components according to the functions of the components to obtain component classes; based on the component scoring model, scoring and accumulating the skin care product components in the component classification to obtain a functional score; and obtaining a skin care product recommendation list corresponding to the skin type based on the skin care product function and the function score, wherein the skin care product recommendation list comprises at least one skin care product.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A skin care recommendation method, the method comprising:
obtaining the attribute and function of the skin care product components;
establishing a component scoring model based on the attributes and functions of the components;
obtaining a score for the ingredient based on the ingredient scoring model;
matching the skin care product ingredients with skin types based on ingredient scores and functions of the skin care product ingredients to obtain skin care product ingredient recommendations.
2. The skin care recommendation method according to claim 1, wherein the attributes of said skin care product ingredients include origin, safety, active ingredients and pox causing risk, and said functions include purpose of use and number of functions;
establishing a component scoring model based on the attributes of the components:
scorer＝λ1×quascore+λ2×nffscore+λ3×actscore+λ4×risk_score+λ5×rfa_score
wherein r is defined as the component, scorerDefined as the score of component r, quascoreScore for Source, nffscoreScore the number of functions, actscoreDefined as the active ingredient score, risk score as the safety score, rfa score as the pox risk score, lambda1、λ2、λ3、λ4And λ5Respectively, the scoring weights.
3. The skin care recommendation method of claim 2, wherein said attributes of said skin care product ingredients further comprise activity,
the component scoring model is as follows:
scorer＝λ1×quascore+λ2×nffscore+λ3×actscore+λ4×riskscore+λ5×rfascore+λ6×actsscore
wherein actsscoreDefined as the activity score, lambda6Defined as the weight of the activity score.
4. The skin care recommendation method according to claim 1, wherein the type of function comprises one or a combination of the following: resisting aging and wrinkle, controlling oil and keeping warm, resisting black and speckle, resisting inflammation and acne, and resisting allergy and relieving.
5. The skin care recommendation method of claim 1, wherein obtaining recommended skin care product ingredients comprises:
acquiring skin types and functions thereof;
screening skin care product components based on the function to obtain a first skin care product component;
and matching the first skin care product component based on the function strength of the skin type to obtain the recommended skin care product component.
6. A skin care recommendation method according to claim 5, wherein said assessment of skin type function comprises one or a combination of index scores obtained by:
according to the gene sequence related to the skin type and the strength of the function of the mutation site of the gene sequence, scoring the sample to obtain a first skin type score;
scoring the sample skin flora according to the degree of harm or benefit to obtain a second skin type score;
carrying out image detection on the skin, and grading the result of the image detection according to qualitative analysis of the image detection to obtain a third skin type score;
detecting the skin type, grading the skin type detection indexes, and grading the skin type according to the grade and the detection result to obtain a fourth skin type score;
obtaining regional environment data, classifying the influence of the regional environment data on skin according to the environmental data, wherein the categories comprise heat preservation, sun protection and soothing and anti-allergy, grading the environmental data, and grading and scoring the regional environment according to the grades to obtain an environmental type score;
and acquiring a metabolic index related to the skin type, classifying and grading the metabolic index, and grading the metabolic index according to the grade to acquire a sixth skin type score.
7. The skin care recommendation method according to claim 6, wherein the skin care product component matching method comprises:
accumulating the index scores according to the function classification to obtain function scores;
and matching the functional score with the skin care product component score to obtain a recommended skin care product component.
8. The skin care recommendation method of claim 1, further comprising a skin care product recommendation method of:
establishing a skin care product database, wherein the skin care product database comprises skin care product functions and skin care product components;
classifying the skin care product components according to the functions of the components to obtain component classes;
based on the component scoring model, scoring and accumulating the skin care product components in the component classification to obtain a functional score;
and obtaining a skin care product recommendation list corresponding to the skin type based on the skin care product functions and the function scores, wherein the skin care product recommendation list comprises at least one skin care product.
9. A system for implementing the skin care recommendation method of any one of claims 1-8, comprising a skin care product component module, a component scoring module, and a recommendation module,
the skin care product component module is used for acquiring the attributes and functions of skin care product components;
the component scoring module is used for establishing a component scoring model based on the attributes and functions of the components and acquiring the scores of the components based on the component scoring model;
the recommending module is used for matching the skin care product components with the skin types based on component scores and functions of the skin care product components to obtain recommended skin care product components.
10. The system of claim 9, further comprising a skin care product recommendation module,
the skin care product recommending module is used for establishing a skin care product database, and the skin care product database comprises skin care product functions and skin care product components; classifying the skin care product components according to the functions of the components to obtain component classes; based on the component scoring model, scoring and accumulating the skin care product components in the component classification to obtain a functional score; and obtaining a skin care product recommendation list corresponding to the skin type based on the skin care product functions and the function scores, wherein the skin care product recommendation list comprises at least one skin care product.
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| CN117351545A (en) * | 2023-10-11 | 2024-01-05 | 广东圣千科技有限公司 | Skin care management method and system based on big data mining |
| CN117351545B (en) * | 2023-10-11 | 2024-03-15 | 广东圣千科技有限公司 | Skin care management method and system based on big data mining |
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