Sensitive skin state determination method and device and nursing plan recommendation method and device

Abstract

The invention discloses a sensitive skin state division standard determination method, a sensitive skin state-based nursing plan recommendation method, a sensitive skin state division standard determination device, a sensitive skin state-based nursing plan recommendation device, computer equipment and a computer readable storage medium. The determination method comprises the following steps: determining scores of a plurality of questionnaires of sensitive skin states, wherein each questionnaire comprises a known sensitive skin state; determining a score distribution rule of each known sensitive skin state according to scores of the multiple questionnaires; and according to the score distribution rule of the various known sensitive skin states, determining score division standards of the various known sensitive skin states, wherein the score division standards can be used for evaluating the corresponding sensitive skin states in combination with scores of the questionnaire. According to the determination method, the score division standard can be determined according to the score of the questionnaire and the known sensitive skin state, so that the sensitive skin state of the user can be evaluated according to the score standard and the score of the questionnaire.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and more specifically, to a method for determining a classification standard for sensitive skin conditions, a method for recommending a care plan based on sensitive skin conditions, a device for determining a classification standard for sensitive skin conditions, a device for recommending a care plan based on sensitive skin conditions, a computer device, and a computer-readable storage medium. Background Art

[0002] Different users have different sensitive skin conditions, and the corresponding beauty methods for different sensitive skin conditions are different. Therefore, in order to determine the sensitive skin condition of a user, a questionnaire can be used to understand the relevant information of the user. However, in the related art, after using the questionnaire to determine the relevant information of the user, it is still difficult to accurately determine the sensitive skin condition (due to the lack of an accurate classification standard for sensitive skin conditions). Summary of the Invention

[0003] Embodiments of the present invention provide a method for determining a classification standard for sensitive skin conditions, a method for recommending a care plan based on sensitive skin conditions, a device for determining a classification standard for sensitive skin conditions, a device for recommending a care plan based on sensitive skin conditions, a computer device, and a computer-readable storage medium.

[0004] Embodiments of the present invention provide a method for determining a classification standard for sensitive skin conditions. The determination method includes: determining the scores of multiple questionnaires on sensitive skin conditions, each questionnaire including a known sensitive skin condition; determining the score distribution law of each known sensitive skin condition according to the scores of the multiple questionnaires; determining the score classification criteria for the multiple known sensitive skin conditions according to the score distribution laws of the multiple known sensitive skin conditions, and the score classification criteria can be used to evaluate the corresponding sensitive skin condition in combination with the scores of the questionnaires.

[0005] In this way, the score classification criteria for multiple known sensitive skin conditions can be determined according to the scores of the questionnaires and the known sensitive skin conditions, so that the sensitive skin condition of the user can be evaluated according to the score criteria and the scores of the questionnaires.

[0006] In some embodiments, the questionnaire includes multiple questions. The determination of the scores of multiple questionnaires on sensitive skin conditions includes: determining the degree of relevance between the answers to the questions and the known sensitive skin conditions, and the degree of relevance can be determined according to the correlation and / or mutual information between the answers to the questions and the known sensitive skin conditions; determining the valid questions according to the degree of relevance; and determining the scores of the questionnaires according to the valid questions.

[0007] In this way, by determining the valid questions according to the degree of relevance and determining the score of the questionnaire based on the valid questions, it is possible to ensure the degree of relevance between the questions and the known sensitive skin conditions, and avoid interference caused by questions with too low a degree of relevance, resulting in inaccurate score distribution rules determined based on the scores.

[0008] In some embodiments, the questionnaire includes multiple questions. Determining the scores of multiple questionnaires on sensitive skin conditions includes: determining the information content of the answers to the questions, where the information content can be determined based on variance and a machine learning model; determining valid questions based on the information content; and determining the score of the questionnaire based on the valid questions.

[0009] In this way, by determining valid questions according to the information content and determining the score of the questionnaire based on the valid questions, it is possible to ensure that the information content of the questions is relatively high, and avoid too many questions with too low information content, which may slow down the calculation speed.

[0010] In some embodiments, determining the scores of multiple questionnaires on sensitive skin conditions includes: counting the scores of all questions in each questionnaire as the score of the corresponding questionnaire.

[0011] In this way, the scores of all questions in each questionnaire can be used as the score of the corresponding questionnaire, realizing the determination of the score of the questionnaire, and the determination method has a low complexity and is relatively simple to calculate.

[0012] In some embodiments, the questionnaire includes multiple inducing factors, multiple symptom options, and multiple symptom degrees corresponding to each symptom option. Determining the scores of multiple questionnaires on sensitive skin conditions includes: determining the symptom score based on the scores of various symptom options and the scores of various symptom degrees in each questionnaire; determining the inducing factor score based on the scores of various inducing factors in each questionnaire; and determining the score of the corresponding questionnaire based on the symptom score and the inducing factor score.

[0013] In this way, by calculating the symptom score and the inducing factor score and determining the score of the questionnaire based on the symptom score and the inducing factor score, it is possible to realize the determination of the score of the questionnaire.

[0014] In some embodiments, the questionnaire includes multiple incentive factors, multiple symptom options, and multiple symptom degrees corresponding to each of the symptom options. Determining the scores of multiple questionnaires for sensitive skin status includes: determining the score of each symptom degree according to the number of the symptom options selected in each questionnaire; determining the symptom score according to the score of each symptom degree and the corresponding preset coefficient; determining the incentive score according to the number of the incentive factors selected in each questionnaire; and determining the score of the corresponding questionnaire according to the symptom score and the incentive score.

[0015] In this way, by calculating the scores of various symptom degrees, determining the symptom score according to the scores of symptom degrees and the preset coefficient, then determining the incentive score according to the number of incentive factors, and determining the score of the questionnaire according to the symptom score and the incentive score, the determination of the score of the questionnaire can be achieved.

[0016] In some embodiments, determining the score distribution law of each known sensitive skin status according to the scores of multiple questionnaires includes: determining the score distribution of each known sensitive skin status according to the scores of multiple questionnaires; scaling the score distribution of each known sensitive skin status so that the frequency corresponding to each known sensitive skin status is the same; and determining the score distribution law of each known sensitive skin status according to the scaled score distribution.

[0017] In this way, by determining the score distribution of each known sensitive skin status according to the scores of multiple questionnaires and scaling the score distribution of each known sensitive skin status, the frequency corresponding to each known sensitive skin status can be made the same, thereby improving the accuracy of the score distribution law of each known sensitive skin status determined according to the scaled score distribution.

[0018] In some embodiments, determining the score distribution of each known sensitive skin status according to the scores of multiple questionnaires includes: determining the distribution histogram of each known sensitive skin status as the score distribution of each known sensitive skin status, where the distribution histogram includes multiple rectangular bars, and the sum of the areas of all the rectangular bars corresponding to the known sensitive skin status is the frequency corresponding to the known sensitive skin status; and scaling the score distribution of each known sensitive skin status includes normalizing the distribution histogram of each known sensitive skin status so that the sum of the areas of all the rectangular bars of the distribution histogram of each known sensitive skin is the same.

[0019] Thus, by determining the distribution histogram of each known sensitive skin state based on the scores of multiple questionnaires as the score distribution of each known sensitive skin state, and then normalizing the distribution histogram of each known sensitive skin state, the accuracy of the score distribution rule determined based on the normalized distribution histogram can be improved.

[0020] In some embodiments, the determining the score distribution rule of each of the known sensitive skin states according to the scaled score distribution includes: performing Gaussian fitting on the scaled score distribution to obtain the score distribution fitting curves of various known sensitive skin states as the score distribution rules of various known sensitive skin states.

[0021] Thus, through Gaussian fitting, the score distribution fitting curves of various known sensitive skin states can be obtained from the scaled score distribution, thereby realizing the determination of the score distribution rule.

[0022] In some embodiments, the determining the score division criteria of multiple known sensitive skin states according to the score distribution rules of multiple known sensitive skin states includes: determining the intersection points of the score distribution fitting curves of multiple known sensitive skin states as the score division lines of multiple known sensitive skin states to form the score division criteria of multiple known sensitive skin states.

[0023] Thus, using the intersection points of the score distribution fitting curves as the score division lines for dividing the two known sensitive skin states, the score division criteria can be determined according to the score division lines of each known sensitive skin state.

[0024] An embodiment of the present invention provides a method for recommending a care plan based on a sensitive skin state. The recommendation method includes: obtaining the score division criteria of known sensitive skin states, where the score division criteria are determined according to the score distribution rules of multiple known sensitive skin states, and the score distribution rules are determined according to the scores of multiple questionnaires, and each questionnaire includes known sensitive skin states; determining the sensitive skin state of the current object according to the score division criteria and the questionnaire of the current object; and recommending a care plan according to the sensitive skin state of the current object.

[0025] Thus, the sensitive skin state of the current object can be determined according to the score division criteria of known sensitive skin states and the questionnaire score of the current object, and a care plan can be recommended according to the sensitive skin state, thereby realizing the targeted recommendation of a care plan for users according to the questionnaire score.

[0026] In some embodiments, the recommendation method is used for a beauty device, the beauty device includes a repair function, the care plan includes a first repair stage and a second repair stage. During the first repair stage, the current user uses the beauty device to perform the repair function at a first power. During the second repair stage, the current user uses the beauty device to perform the repair function at a second power, where the first power is greater than the second power, and the sum of the times of the first repair stage and the second repair stage is a set time; the recommendation of the care plan according to the sensitive skin state of the current object includes: if the sensitive skin state of the current object is the first state, recommend that the current user adopt the care plan of the first repair stage and use the beauty device at a first frequency within a first time, and adopt the care plan of the second repair stage and use the beauty device at a first frequency after the first time; if the sensitive skin state of the current object is the second state, recommend that the current user adopt the care plan of the first repair stage and use the beauty device at a first frequency within a second time, and adopt the care plan of the second repair stage and use the beauty device at a second frequency after the second time, where the sensitivity degree of the second state is greater than that of the first state, the second time is greater than the first time, and the second frequency is greater than the first frequency.

[0027] In this way, after determining the sensitive skin state of the user, a care plan is recommended to the user in a targeted manner so that the recommended care plan can be suitable for the user.

[0028] In some embodiments, the recommendation of the care plan according to the sensitive skin state of the current object includes: if the sensitive skin state of the current object is the second state, during the first repair stage, determine whether the current user has sensitive symptoms at each set cycle; if there are sensitive symptoms, recommend that the current user adopt the care plan of the first repair stage; if there are no sensitive symptoms, recommend that the current user adopt the care plan of the second repair stage.

[0029] In this way, the repair plan can be flexibly recommended according to the user's physical sensations. When the user is not in a sensitive state and it is determined that the sensitive skin state of the user has improved, there is no need to maintain the first repair stage. Therefore, it is recommended that the user enter the second repair stage for stability repair to avoid over-repair.

[0030] In some embodiments, the recommendation method is used for a beauty device, which includes a daily care function. Recommending a care plan according to the sensitive skin state of the current object includes: if the sensitive skin state of the current user is in the first state, recommending that the current user use the daily care function of the beauty device; if the sensitive skin state of the current user is in the second state, recommending that the current user not use the daily care function of the beauty device, and the sensitivity level of the second state is greater than that of the first state.

[0031] In this way, it is possible to recommend whether to use the daily care function according to the sensitive skin state of the current user. When the current user is in the first state, it is recommended to use the daily care function; when the current user is in the second state, it is recommended not to use the daily care function.

[0032] An embodiment of the present invention provides a device for determining a classification standard of sensitive skin states. The determining device includes a first determining module, a second determining module, and a third determining module. The first determining module is used to determine the scores of multiple questionnaires on sensitive skin states, and each questionnaire includes a known sensitive skin state; the second determining module is used to determine the score distribution law of each known sensitive skin state according to the scores of multiple questionnaires; the third determining module is used to determine the score classification standards of multiple known sensitive skin states according to the score distribution laws of multiple known sensitive skin states, and the score classification standards can be used to evaluate the corresponding sensitive skin state in combination with the scores of the questionnaires.

[0033] In this way, it is possible to determine the score classification standards of multiple known sensitive skin states according to the scores of the questionnaires and the known sensitive skin states, so that the sensitive skin state of the user can be evaluated according to the score standards and the scores of the questionnaires.

[0034] An embodiment of the present invention provides a device for recommending a care plan based on sensitive skin states. The recommending device includes an acquisition module, a determination module, and a sending module. The acquisition module is used to acquire the score classification standards of known sensitive skin states, and the score classification standards are determined according to the score distribution laws of multiple known sensitive skin states, and the score distribution laws are determined according to the scores of multiple questionnaires, and each questionnaire includes a known sensitive skin state; the determination module is used to determine the sensitive skin state of the current object according to the score classification standards and the questionnaire of the current object; the sending module is used to recommend a care plan according to the sensitive skin state of the current object.

[0035] In this way, it is possible to determine the sensitive skin state of the current object according to the score classification standards of known sensitive skin states and the questionnaire score of the current object, and recommend a care plan according to the sensitive skin state, so that it is possible to realize the targeted recommendation of a care plan for the user according to the questionnaire score.

[0036] An embodiment of the present invention provides a computer device, which includes one or more processors and a memory. The memory stores a computer program. When the computer program is executed by the processor, the steps of the determination method of any of the above embodiments or the steps of the recommendation method of any of the above embodiments are implemented.

[0037] In this way, it is possible to determine multiple score division criteria for known sensitive skin states based on the scores of the questionnaire and the known sensitive skin states, so that the sensitive skin state of the user can be evaluated according to the score criteria and the scores of the questionnaire, and a corresponding care plan can be recommended according to the sensitive skin state.

[0038] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the determination method of any of the above embodiments or the steps of the recommendation method of any of the above embodiments are implemented.

[0039] In this way, it is possible to determine multiple score division criteria for known sensitive skin states based on the scores of the questionnaire and the known sensitive skin states, so that the sensitive skin state of the user can be evaluated according to the score criteria and the scores of the questionnaire, and a corresponding care plan can be recommended according to the sensitive skin state.

[0040] The additional aspects and advantages of the present invention will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present invention. Description of the Drawings

[0041] The above and / or additional aspects and advantages of the present invention will become obvious and easy to understand from the description of the embodiments in conjunction with the following drawings, where:

[0042] Figure 1 is a schematic flowchart of the determination method according to an embodiment of the present invention;

[0043] Figure 2 is a schematic diagram of the determination device according to an embodiment of the present invention;

[0044] Figure 3 is a schematic flowchart of the determination method according to an embodiment of the present invention;

[0045] Figure 4 is a schematic diagram of the first determination module according to an embodiment of the present invention;

[0046] Figure 5 is a schematic flowchart of the determination method according to an embodiment of the present invention;

[0047] Figure 6 is a schematic diagram of the first determination module according to an embodiment of the present invention;

[0048] Figure 7 It is a schematic flowchart of the determination method according to the embodiment of the present invention;

[0049] Figure 8 It is a schematic diagram of the determination device according to the embodiment of the present invention;

[0050] Figure 9 It is a schematic flowchart of the determination method according to the embodiment of the present invention;

[0051] Figure 10 It is a schematic diagram of the first determination module according to the embodiment of the present invention;

[0052] Figure 11 It is a schematic flowchart of the determination method according to the embodiment of the present invention;

[0053] Figure 12 It is a schematic diagram of the first determination module according to the embodiment of the present invention;

[0054] Figure 13 It is a schematic flowchart of the determination method according to the embodiment of the present invention;

[0055] Figure 14 It is a schematic diagram of the second determination module according to the embodiment of the present invention;

[0056] Figure 15 It is a schematic flowchart of the determination method according to the embodiment of the present invention;

[0057] Figure 16 It is a schematic diagram of the second determination module according to the embodiment of the present invention;

[0058] Figure 17 It is a schematic diagram of the distribution histogram according to the embodiment of the present invention;

[0059] Figure 18 It is a schematic diagram of the normalized distribution histogram according to the embodiment of the present invention;

[0060] Figure 19 It is a schematic diagram of the distribution histogram and the distribution fitting curve according to the embodiment of the present invention;

[0061] Figure 20 It is a schematic diagram of the distribution fitting curve according to the embodiment of the present invention;

[0062] Figure 21 It is a schematic flowchart of the determination method according to the embodiment of the present invention;

[0063] Figure 22 It is a schematic diagram of the determination device according to the embodiment of the present invention;

[0064] Figure 23It is a schematic flowchart of the recommended method according to the embodiments of the present invention;

[0065] Figure 24 It is a schematic diagram of the recommended device according to the embodiments of the present invention;

[0066] Figure 25 It is a schematic flowchart of the recommended method according to the embodiments of the present invention;

[0067] Figure 26 It is a schematic diagram of the sending module according to the embodiments of the present invention;

[0068] Figure 27 It is a schematic flowchart of the recommended method according to the embodiments of the present invention;

[0069] Figure 28 It is a schematic diagram of the sending module according to the embodiments of the present invention;

[0070] Figure 29 It is a schematic flowchart of the recommended method according to the embodiments of the present invention;

[0071] Figure 30 It is a schematic diagram of the sending module according to the embodiments of the present invention. Detailed implementation manners

[0072] The following details the embodiments of the present invention. The embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation of the present invention.

[0073] Please refer to Figure 1 , the embodiments of the present invention provide a method for determining the classification criteria of sensitive skin states. The determination method includes:

[0074] 011: Determine the scores of multiple questionnaires on sensitive skin states, and each questionnaire includes known sensitive skin states;

[0075] 012: Determine the score distribution law of each known sensitive skin state according to the scores of multiple questionnaires;

[0076] 013: Determine the score classification criteria of multiple known sensitive skin states according to the score distribution laws of multiple known sensitive skin states. The score classification criteria can be used to evaluate the corresponding sensitive skin states in combination with the scores of the questionnaires.

[0077] Specifically, please refer to Figure 2, the method for determining the classification criteria of sensitive skin status in the embodiments of the present invention can be implemented by the device 100 for determining the classification criteria of sensitive skin status in the embodiments of the present invention. The determining device 100 includes a first determining module 110, a second determining module 120, and a third determining module 130. The first determining module 110 is configured to determine the scores of multiple questionnaires on sensitive skin status, and each questionnaire includes a known sensitive skin status; the second determining module 120 is configured to determine the score distribution law of each known sensitive skin status according to the scores of multiple questionnaires; the third determining module 130 is configured to determine the score classification criteria of multiple known sensitive skin statuses according to the score distribution laws of multiple known sensitive skin statuses, and the score classification criteria can be used to evaluate the corresponding sensitive skin status in combination with the scores of the questionnaires.

[0078] Among them, the questionnaire is obtained by the user's filling, and the score of the questionnaire is determined according to the content filled by the user. In each questionnaire, the user evaluates whether his own skin is sensitive skin and the sensitive status, that is, the known sensitive skin status, and the known sensitive skin status includes the tolerant type, the mild sensitive type, the moderate sensitive type, and the severe sensitive type; according to the scores of multiple questionnaires, the score distribution law of each sensitive skin status is determined. The score distribution law can reflect the number of each sensitive skin at different scores. According to the score distribution law, the score classification criteria of multiple known sensitive skin statuses can be determined, that is, it can be determined that when the score is less than a certain score value, it is the tolerant type, and when it is within a certain score range, it is the mild type, etc. For example, those with a score less than 4 are rated as the tolerant type, those with a score of 4 - 9.2 are rated as the mild sensitive type, and those with a score above 9.2 are rated as the moderate sensitive type. In addition, the questionnaire may also include the user's basic information, allergy history, and skin disease history, and the basic information includes age, smoking habit, skin type, gender, etc.

[0079] In this way, the score classification criteria of multiple known sensitive skin statuses can be determined according to the scores of the questionnaires and the known sensitive skin status, so that the sensitive skin status of the user can be evaluated according to the score criteria and the scores of the questionnaires.

[0080] Please refer to Figure 3 , in some embodiments, the questionnaire includes multiple questions, and step 011 (determining the scores of multiple questionnaires on sensitive skin status) includes:

[0081] 0111: Determine the correlation degree between the answer of the question and the known sensitive skin status, and the correlation degree can be determined according to the correlation and / or mutual information between the answer of the question and the known sensitive skin status;

[0082] 0112: Determine the valid questions according to the correlation degree;

[0083] 0113: Determine the score of the questionnaire according to the valid questions.

[0084] Specifically, please refer to Figure 4 , step 0111 can be implemented by the first determination sub-module 111 of the first determination module 110, step 0112 can be implemented by the second determination sub-module 112 of the first determination module 110, and step 0113 can be implemented by the third determination sub-module 113 of the first determination module 110. That is to say, the first determination sub-module 111 can be used to determine the degree of correlation between the answer to the question and the known sensitive skin state, and the degree of correlation can be determined according to the correlation and / or mutual information between the answer to the question and the known sensitive skin state; the second determination sub-module 112 can be used to determine valid questions according to the degree of correlation; the third determination sub-module 113 can be used to determine the score of the questionnaire according to the valid questions.

[0085] The answer to the question is the option selected by the user for the question. The degree of correlation between the answer to the question and the known sensitive skin state can be determined according to the correlation and / or mutual information between the answer to the question and the known sensitive skin state. The correlation ρ X,Y is calculated as follows:

[0086]

[0087] where X can be the answer to the question, Y can be the known sensitive skin state, μ X is the mean value of the answer to the question, μ Y is the mean value of the known sensitive skin state, σ X is the variance of the answer to the question, σ Y is the variance of the known sensitive skin state. The mutual information can reflect the degree of mutual dependence between the answer to the question and the known sensitive skin state. The calculation method of the mutual information is:

[0088]

[0089] where D KL is the KL divergence (Kullback-Leibler Divergence), p(x,y) represents the joint distribution probability of the answer to the question and the known sensitive skin state, p(x) represents the distribution probability of the answer to the question, and p(y) represents the distribution probability of the known sensitive skin state. Valid questions can be questions with a correlation greater than the set correlation and / or a mutual information greater than the set mutual information. Questions with a correlation less than the set correlation and / or a mutual information less than the set mutual information can be excluded from consideration because their correlation with the known sensitive skin degree is too low; in addition, questions with the answer "don't know" can also be excluded from consideration.

[0090] In this way, determining valid questions according to the degree of correlation and determining the score of the questionnaire according to the valid questions can ensure the degree of correlation between the questions and the known sensitive skin state, and avoid interference caused by questions with too low a degree of correlation, resulting in inaccurate score distribution rules determined according to the score.

[0091] Please refer to Figure 5 In some embodiments, the questionnaire includes multiple questions. Step 011 (determining the scores of multiple questionnaires on sensitive skin conditions) includes:

[0092] 0114: determining the information content of the answers to the questions, where the information content can be determined based on variance and a machine learning model;

[0093] 0115: determining valid questions based on the information content;

[0094] 0116: determining the score of the questionnaire based on the valid questions.

[0095] Specifically, please refer to Figure 6 Step 0114 can be implemented by the fourth determination sub-module 114 of the first determination module 110, step 0115 can be implemented by the fifth determination sub-module 115 of the first determination module 110, and step 0116 can be implemented by the sixth determination sub-module 116 of the first determination module 110. That is, the fourth determination sub-module 114 can be used to determine the information content of the answers to the questions, where the information content can be determined based on variance and a machine learning model; the fifth determination sub-module 115 can be used to determine valid questions based on the information content; the sixth determination sub-module 116 can be used to determine the score of the questionnaire based on the valid questions. The information content of the answers to the questions can be determined based on the variance of the answers to the questions and a machine learning model. The calculation method of the variance is as follows:

[0096]

[0097] where X is the answer to a certain question of all questionnaires, EX is the mean of the answers to a certain question of all questionnaires, x i is the score of an option of this question, and p i is the probability of the option appearing. If the variance is too small, the answers to this question may not provide enough information content to distinguish from other questions. The machine learning model can be constructed by using the known sensitive skin conditions as the target (Target) and the answers to each question as features. The machine learning model can be a decision tree (DecisionTree), a random forest (Random Forest), etc. The machine learning model can give the importance degree of each question. The lower the importance degree of a question, the less useful it is for distinguishing different known sensitive skin conditions. The valid questions can be questions with a variance greater than the set variance and / or an importance degree greater than the set importance degree. Questions with a variance less than the set variance and / or an importance degree less than the set importance degree can be not considered due to too low information content.

[0098] In this way, determining valid questions based on the amount of information and determining the score of the questionnaire based on the valid questions can ensure that the amount of information in the questions is relatively high, and avoid the slowdown of the calculation speed caused by too many questions with too little information.

[0099] Please refer to Figure 7 , in some embodiments, step 011 (determining the score of the questionnaire for multiple sensitive skin conditions) includes:

[0100] 0117: Count the scores of all questions in each questionnaire as the score of the corresponding questionnaire.

[0101] Specifically, please refer to Figure 8 , step 0117 can be implemented by the statistics sub-module 117 of the first determination module 110. That is to say, the statistics sub-module 117 can be used to count the scores of all questions in each questionnaire as the score of the corresponding questionnaire.

[0102] Among them, each option of the questions in each questionnaire has a corresponding score. After the user selects one or more options for each question, the score of each question is determined according to the sum of the scores of the selected options for each question. The score of the questionnaire is the sum of the scores of all questions. After determining the score of the questionnaire, the score distribution law of each known sensitive skin condition can be determined according to the score of the questionnaire, and then the score division standard of each known sensitive skin condition can be determined according to the score distribution law, so that the known sensitive skin condition corresponding to each score can be determined according to the score division standard.

[0103] In addition, the questionnaire includes various inducing factors, various symptom options, and various symptom degrees corresponding to each symptom option. Please refer to Table 1. The symptom options include flushing / heating, papules / acne, itching, tightness / scaling, stinging, etc.; the symptom degrees can be divided into 5 levels from light to heavy. The symptom degrees include symptom frequency, symptom duration, and symptom severity, etc., and each symptom degree is divided into 5 levels; the inducing factors include basic factors, physical factors, chemical factors, etc. The basic factors include staying up late, menstruation, genetics, exercise, etc. The physical factors include large temperature difference, sun exposure, being in a polluted environment, seasonal changes, etc. The chemical factors include using makeup products, using irritating skin care products, medical aesthetics, etc.

[0104]

[0105] Table 1

[0106] Different weights can be set for different symptom options, different causes, and different symptom degrees. In one embodiment, the weight of flushing and heat is 1.27, the weight of itching is 1, the weight of papules (acne) is 1.31, the weight of tightness and desquamation is 1.02, and the weight of stinging is 1.42; the weight corresponding to symptom degree 1 is 0, the weight corresponding to symptom degree 2 is 1, the weight corresponding to symptom degree 3 is 1.47, the weight corresponding to symptom degree 4 is 1.99, the weight corresponding to symptom degree 5 is 2.26, and the weight of each cause is 0.2; the score division standard determined according to the questionnaire is that 0 to 2.2 points is the tolerant type, 2.2 to 4.6 points is the mildly sensitive type, 4.6 to 8.2 points is the moderately sensitive type, and above 8.2 points is the severely sensitive type.

[0107] In this way, the scores of all the questions in each questionnaire can be used as the score of the corresponding questionnaire, realizing the determination of the score of the questionnaire, and the determination method has a low complexity and is relatively simple to calculate.

[0108] Please refer to Figure 9 , in some embodiments, the questionnaire includes multiple cause factors, multiple symptom options, and multiple symptom degrees corresponding to each symptom option. Step 011 (determining the scores of multiple questionnaires on the sensitive skin state) includes:

[0109] 0118: Determine the symptom score according to the scores of various symptom options and various symptom degrees in each questionnaire;

[0110] 0119: Determine the cause score according to the scores of various cause factors in each questionnaire;

[0111] 01110: Determine the score of the corresponding questionnaire according to the symptom score and the cause score.

[0112] Specifically, please refer to Figure 10 , step 0118 can be implemented by the seventh determination sub-module 118 of the first determination module 110, step 0119 can be implemented by the eighth determination sub-module 119 of the first determination module 110, and step 01110 can be implemented by the ninth determination sub-module 1110 of the first determination module 110. That is to say, the seventh determination sub-module 118 can be used to determine the symptom score according to the scores of various symptom options and various symptom degrees in each questionnaire; the eighth determination sub-module 119 can be used to determine the cause score according to the scores of various cause factors in each questionnaire; the ninth determination sub-module 1110 can be used to determine the score of the corresponding questionnaire according to the symptom score and the cause score. The calculation method of the score of the questionnaire is as follows:

[0113] Score = [(a1 + b1 + c1) * Z1 + (a2 + b2 + c2) * Z2 + (a3 + b3 + c3) * Z3 + (a4 + b4 + c4) * Z4 + (a5 + b5 + c5) * Z5] * K

[0114] K = B(X + Y)

[0115] Among them, Score is the score of the questionnaire, K is the incentive coefficient, B is the basic factor, X is the physical factor, Y is the chemical factor, a is the symptom frequency, b is the symptom duration, c is the symptom severity, Z1 is the symptom option of flushing / heating, Z2 is the symptom option of papules / acne, Z3 is the symptom option of itching, Z4 is the symptom option of tightness / desquamation, Z5 is the symptom option of stinging. The score of the symptom option selected by the user is 1 point, and the score of the symptom option not selected by the user is 0 point. (a + b + c) is the score of each symptom degree. According to the scores of the basic factor, the physical factor, and the chemical factor, the incentive score can be determined. Calculating the product of the incentive score and the symptom score can determine the score of the corresponding questionnaire.

[0116] In this way, by calculating the symptom score and the incentive score, and determining the score of the questionnaire according to the symptom score and the incentive score, the determination of the score of the questionnaire can be achieved.

[0117] Please refer to Figure 11 , in some embodiments, the questionnaire includes multiple incentive factors, multiple symptom options, and multiple symptom degrees corresponding to each symptom option. Step 011 (determining the scores of multiple questionnaires on the sensitive skin state) includes:

[0118] 01111: Determine the score of each symptom degree according to the number of selected symptom options in each questionnaire;

[0119] 01112: Determine the symptom score according to the score of each symptom degree and the corresponding preset coefficient;

[0120] 01113: Determine the incentive score according to the number of selected incentive factors in each questionnaire;

[0121] 01114: Determine the score of the corresponding questionnaire according to the symptom score and the incentive score.

[0122] Specifically, please refer to Figure 12, step 01111 can be implemented by the tenth determination sub-module 1111 of the first determination module 110, step 01112 can be implemented by the eleventh determination sub-module 1112 of the first determination module 110, step 01113 can be implemented by the twelfth determination sub-module 1113 of the first determination module 110, and step 01114 can be implemented by the thirteenth determination sub-module 1114 of the first determination module 110. That is to say, the tenth determination sub-module 1111 can be used to determine the score of each symptom degree according to the number of selected symptom options in each questionnaire; the eleventh determination sub-module 1112 can be used to determine the symptom score according to the score of each symptom degree and the corresponding preset coefficient; the twelfth determination sub-module 1113 can be used to determine the incentive score according to the number of selected incentive factors in each questionnaire; the thirteenth determination sub-module 1114 can be used to determine the score of the corresponding questionnaire according to the symptom score and the incentive score.

[0123] The calculation method of the score of the questionnaire is as follows:

[0124] Z_Score = coeff1*(N1)+coeff2*(N2)+coeff3*(N3)+coeff4*(N4)+coeff5*(N5)

[0125] I_Score = coeff6*(I)

[0126] Score = Z_Score+I_Score

[0127] Among them, Z_Score is the symptom score, I_Score is the incentive score, Score is the score of the questionnaire, coeff1 to coeff6 are all preset coefficients, N1 is the number of symptom degrees of 1, N2 is the number of symptom degrees of 2, N3 is the number of symptom degrees of 3, N4 is the number of symptom degrees of 4, N5 is the number of symptom degrees of 5, and I is the number of incentive factors. In one embodiment, coeff1 = 1, coeff2 = 1.63, coeff3 = 3.19, coeff4 = 3.19, coeff5 = 3.84, coeff6 = 0.21. That is, the preset coefficient corresponding to the symptom degree of 2 is 1.63, and the coefficient of the incentive factor is 0.21. That is, for each additional incentive factor, the score increases by 0.21. The determined score classification standard is that those with a score less than 4 are rated as tolerant, those with a score of 4 - 9.2 are rated as mildly sensitive, and those with a score above 9.2 are rated as moderately sensitive.

[0128] In this way, by calculating the scores of various symptom degrees, determining the symptom score according to the score of the symptom degree and the preset coefficient, then determining the incentive score according to the number of incentive factors, and determining the score of the questionnaire according to the symptom score and the incentive score, the determination of the score of the questionnaire can be realized.

[0129] Please refer to Figure 13 Figure 13 , in some embodiments, step 012 (determining the score distribution law of each known sensitive skin state according to the scores of multiple questionnaires) includes:

[0130] 0121: Determining the score distribution of each known sensitive skin state according to the scores of multiple questionnaires;

[0131] 0122: Scaling the score distribution of each known sensitive skin state so that the frequency corresponding to each known sensitive skin state is the same;

[0132] 0123: Determining the score distribution law of each known sensitive skin state according to the scaled score distribution.

[0133] Specifically, please refer to Figure 14 Figure 14 , step 0121 can be implemented by the fourteenth determination sub-module 121 of the second determination module 120, step 0122 can be implemented by the scaling sub-module 122 of the second determination module 120, and step 0123 can be implemented by the fifteenth determination sub-module 123 of the second determination module 120. That is to say, the fourteenth determination sub-module 121 can be used to determine the score distribution of each known sensitive skin state according to the scores of multiple questionnaires; the scaling sub-module 122 can be used to scale the score distribution of each known sensitive skin state so that the frequency corresponding to each known sensitive skin state is the same; the fifteenth determination sub-module 123 can be used to determine the score distribution law of each known sensitive skin state according to the scaled score distribution.

[0134] Among them, since the number of questionnaires corresponding to each known sensitive skin state is different, that is, the frequency corresponding to each known sensitive skin state is different, if the score distribution law is directly determined according to the score distribution of each known sensitive skin state, it will be inaccurate. It is necessary to scale the score distribution of each known sensitive skin state so that the frequency corresponding to each known sensitive skin state is the same, unify the frequency corresponding to the known sensitive skin state, and then determine the score distribution law of each known sensitive skin state according to the scaled score distribution, so as to improve the accuracy of the determined score distribution law.

[0135] In this way, by determining the score distribution of each known sensitive skin state according to the scores of multiple questionnaires and scaling the score distribution of each known sensitive skin state, it is possible to make the frequency corresponding to each known sensitive skin state the same, thereby improving the accuracy of the score distribution law of each known sensitive skin state determined according to the scaled score distribution.

[0136] Please refer to Figure 15, in some embodiments, step 012 (determining the score distribution of each known sensitive skin state according to the scores of multiple questionnaires) includes:

[0137] 01211: determining a distribution histogram of each known sensitive skin state according to the scores of multiple questionnaires as the score distribution of each known sensitive skin state, the distribution histogram including a plurality of rectangular bars, and the sum of the areas of all the rectangular bars corresponding to the known sensitive skin state being the frequency corresponding to the known sensitive skin state;

[0138] Step 0122 (scaling the score distribution of each known sensitive skin state) includes:

[0139] 01221: normalizing the distribution histogram of each known sensitive skin state so that the sum of the areas of all the rectangular bars of the distribution histogram of each known sensitive skin is the same.

[0140] Specifically, please refer to Figure 16 , step 01211 can be implemented by the determining unit 1211 of the fourteenth determining sub-module 121, and step 01221 can be implemented by the processing unit 1221 of the scaling sub-module 122. That is to say, the determining unit 1211 can be used to determine a distribution histogram of each known sensitive skin state according to the scores of multiple questionnaires as the score distribution of each known sensitive skin state, the distribution histogram including a plurality of rectangular bars, and the sum of the areas of all the rectangular bars corresponding to the known sensitive skin state being the frequency corresponding to the known sensitive skin state; the processing unit 1221 can be used to normalize the distribution histogram of each known sensitive skin state so that the sum of the areas of all the rectangular bars of the distribution histogram of each known sensitive skin is the same.

[0141] Among them, please refer to Figure 17 , a distribution histogram is determined for each known sensitive skin state respectively. The horizontal axis of the distribution histogram is the score, and the vertical axis is the frequency. Each rectangular bar corresponds to a score, and the height of the rectangular bar is the frequency corresponding to the score; please refer to Figure 18 , the height of the rectangular bars of the distribution histogram of each known sensitive skin state is multiplied by different coefficients respectively for normalization, so that the sum of the areas of the rectangular bars of each known sensitive skin state is the same, that is, the frequencies corresponding to the known sensitive skin states are the same, so that the number of samples corresponding to each known sensitive skin state can be the same, and the score distribution law determined according to the normalized distribution histogram is more accurate.

[0142] In this way, by determining a distribution histogram of each known sensitive skin state according to the scores of multiple questionnaires as the score distribution of each known sensitive skin state, and then normalizing the distribution histogram of each known sensitive skin state, the accuracy rate of the score distribution law determined according to the normalized distribution histogram can be improved.

[0143] Please refer to Figure 15 , in some embodiments, step 0123 (determining the score distribution law of each known sensitive skin state according to the scaled score distribution) includes:

[0144] 01231: Perform Gaussian fitting on the scaled score distribution to obtain the score distribution fitting curves of various known sensitive skin states as the score distribution laws of each known sensitive skin state.

[0145] Specifically, please refer to Figure 16 , step 01231 can be implemented by the fitting unit 1231 of the fifteenth determination sub-module 123. That is to say, the fitting unit 1231 can be used to perform Gaussian fitting on the scaled score distribution to obtain the score distribution fitting curves of various known sensitive skin states as the score distribution laws of each known sensitive skin state. Please refer to Figure 19 and Figure 20 , using the same Gaussian fitting method to fit the scaled score distribution of each known sensitive skin state into a score distribution fitting curve, the score distribution law of each known sensitive skin state can be obtained.

[0146] In this way, through Gaussian fitting, the score distribution fitting curves of various known sensitive skin states can be obtained from the scaled score distribution, thereby realizing the determination of the score distribution law.

[0147] Please refer to Figure 21 , in some embodiments, step 013 (determining the score division criteria for multiple known sensitive skin states according to the score distribution laws of multiple known sensitive skin states) includes:

[0148] 0131: Determine the intersection points of the score distribution fitting curves of multiple known sensitive skin states as the score division lines for multiple known sensitive skin states to form the score division criteria for multiple known sensitive skin states.

[0149] Specifically, please refer to Figure 22 , step 0131 can be implemented by the sixteenth determination sub-module 131 of the third determination module 130. That is to say, the sixteenth determination sub-module 131 can be used to determine the intersection points of the score distribution fitting curves of multiple known sensitive skin states as the score division lines for multiple known sensitive skin states to form the score division criteria for multiple known sensitive skin states.

[0150] Among them, the score distribution fitting curves of various known sensitive skin states are placed in the same graph, and the intersection points of the score distribution fitting curves of every two known sensitive skin states are taken as the scores for dividing these two known sensitive skin states, so as to obtain score dividing lines. The score dividing lines of various known sensitive skin states form a score dividing standard. According to the score dividing standard, the known sensitive skin states corresponding to each score can be determined. In one embodiment, the obtained score distribution fitting curve is as Figure 20 shown, and the score dividing standard determined according to the intersection points of the score distribution fitting curves is: 0 - 7 points is the tolerant type, 8 - 16 points is the mildly sensitive type, 17 - 25 points is the moderately sensitive type, and 26 points and above is the severely sensitive type.

[0151] In this way, the intersection points of the score distribution fitting curves are used as the score dividing lines for dividing these two known sensitive skin states, and thus the score dividing standard can be determined according to the score dividing lines of each known sensitive skin state.

[0152] Please refer to Figure 23 , an embodiment of the present invention provides a method for recommending a nursing plan based on the sensitive skin state. The recommendation method includes:

[0153] 021: Obtain the score dividing standard of the known sensitive skin state. The score dividing standard is determined according to the score distribution rules of multiple known sensitive skin states, and the score distribution rules are determined according to the scores of multiple questionnaires. Each questionnaire includes the known sensitive skin state;

[0154] 022: Determine the sensitive skin state of the current object according to the score dividing standard and the questionnaire of the current object;

[0155] 023: Recommend a nursing plan according to the sensitive skin state of the current object.

[0156] Specifically, please refer to Figure 24 , the method for recommending a nursing plan based on the sensitive skin state in the embodiment of the present invention can be implemented by the device for recommending a nursing plan based on the sensitive skin state in the embodiment of the present invention. The recommendation device 200 includes an acquisition module 210, a determination module 220, and a sending module 230. The acquisition module 210 is used to obtain the score dividing standard of the known sensitive skin state. The score dividing standard is determined according to the score distribution rules of multiple known sensitive skin states, and the score distribution rules are determined according to the scores of multiple questionnaires. Each questionnaire includes the known sensitive skin state; the determination module 220 is used to determine the sensitive skin state of the current object according to the score dividing standard and the questionnaire of the current object; the sending module 230 is used to recommend a nursing plan according to the sensitive skin state of the current object.

[0157] Among them, the score division standard of the known sensitive skin state can be determined by the determination method of any of the above-mentioned embodiments. After the score division standard of the known sensitive skin state has been determined, the known sensitive skin state to which the score of each questionnaire filled in subsequently belongs can be determined according to the score division standard, thereby determining the sensitive skin state of the current object filling in the questionnaire, and a care plan can be recommended according to the determined sensitive skin state of the current object. For example, the sensitive skin division standard is 0 to 2.2 points for tolerance, 2.2 to 4.6 points for mild sensitivity, 4.6 to 8.2 points for moderate sensitivity, and 8.2 points or more for severe sensitivity. If the score of the questionnaire filled in by the current object is 5.5 points, it can be determined that the sensitive skin state of the current object is moderately sensitive, and a moderate sensitive skin repair plan is recommended for it. The sending module can recommend a care plan to the current user by sending to a terminal such as a mobile phone, etc. The relationship between the care plan and the sensitive skin state is shown in Table 2. The user can also send the determined sensitive skin state to the server to obtain the corresponding care plan.

[0158]

[0159]

[0160] Table 2

[0161] In this way, the sensitive skin state of the current object can be determined based on the score classification criteria of the known sensitive skin state and the questionnaire score of the current object, and a care plan can be recommended based on the sensitive skin state, thereby achieving targeted recommendation of a care plan to the user based on the questionnaire score.

[0162] See also Figure 25 In some embodiments, the recommendation method is used for a beauty device, the beauty device includes a repair function, the care plan includes a first repair stage and a second repair stage, in the first repair stage, the current user uses the beauty device to perform the repair function at a first power, in the second repair stage, the current user uses the beauty device to perform the repair function at a second power, the first power is greater than the second power, and the sum of the time of the first repair stage and the second repair stage is the set time; step 023 (recommending a care plan according to the sensitive skin state of the current subject) includes:

[0163] 0231: If the sensitive skin state of the current subject is the first state, it is recommended that the current user adopt the care plan of the first repair stage and use the beauty device at the first frequency within the first time, and adopt the care plan of the second repair stage and use the beauty device at the first frequency after the first time;

[0164] 0232: If the sensitive skin state of the current object is the second state, it is recommended that the current user adopt the nursing plan of the first repair stage and use the beauty device at the first frequency within the second time, and adopt the nursing plan of the second repair stage and use the beauty device at the second frequency after the second time. The sensitivity of the second state is greater than that of the first state, the second time is greater than the first time, and the second frequency is greater than the first frequency.

[0165] Specifically, please refer to Figure 26 , step 0231 can be implemented by the first sending sub-module 231 of the sending module 230, and step 0232 can be implemented by the second sending sub-module 232 of the sending module 230. That is to say, if the sensitive skin state of the current object is the first state, the first sending sub-module 231 can be used to recommend that the current user adopt the nursing plan of the first repair stage and use the beauty device at the first frequency within the first time, and adopt the nursing plan of the second repair stage and use the beauty device at the first frequency after the first time; if the sensitive skin state of the current object is the second state, the second sending sub-module 232 can be used to recommend that the current user adopt the nursing plan of the first repair stage and use the beauty device at the first frequency within the second time, and adopt the nursing plan of the second repair stage and use the beauty device at the second frequency after the second time. The sensitivity of the second state is greater than that of the first state, the second time is greater than the first time, and the second frequency is greater than the first frequency.

[0166] Among them, the beauty device includes a light energy cabin, which includes a bracket mode and a mask mode. The bracket mode can support the use of a first power, and the mask mode can support the use of a second power. The first power can be 100mw, and the second power can be 40mw. That is, in the first repair stage, the user uses the beauty device at 100mw for a strong soothing repair function; in the second repair stage, the user uses the beauty device at 40mw for a stability maintenance repair function. The set time can be 28 days, that is, the total duration of the first repair stage and the second repair stage is the same and both are 28 days. The first state can be mild sensitivity, the second state can be moderate sensitivity, the first time can be 7 days, the first frequency is to use the beauty device every other day, 3 times a week; the second time is 21 days, and the second frequency is to continuously use the beauty device, 5 times a week. If the sensitive skin state of the current object is mild sensitivity, it is recommended that the current user use the beauty device at 100mw for strong soothing, and use the beauty device every other day within 7 days, 3 times a week. After 7 days, use the beauty device at 40mw for stability maintenance repair, and the usage frequency remains unchanged; if the sensitive skin state of the current object is moderate sensitivity, it is recommended that the current user use the beauty device at 100mw for strong soothing, and use the beauty device every other day within 21 days, 3 times a week. After 21 days, use the beauty device at 40mw for stability maintenance repair, and continuously use the beauty device, 5 times a week. If the sensitive skin state of the current user is severe sensitivity, it is recommended that the current user suspend using the beauty device and go to the hospital for treatment. In addition, the care plan also includes recommending that the current user use at least two pumps of repair milk before using the beauty device, use at least one pump of repair milk after using the beauty device, and match other functional skin care products to further carry out repair.

[0167] In addition, when the beauty device is in an offline state, the recommended care plan can be the same as when it is in an online state, or there can be some differences. For example, when the sensitive skin state of the user is the first state, it can be recommended that the user adopt the care plan of the first repair stage and use the beauty device at the first frequency within the second time, that is, use the repair function of the beauty device at a frequency of every other day, 3 times a week and a power of 100mw within 21 days.

[0168] In this way, after determining the sensitive skin state of the user, a care plan is recommended to the user accordingly, so that the recommended care plan can be suitable for the user.

[0169] Please refer to Figure 27 , in some embodiments, step 023 (recommending a care plan according to the sensitive skin state of the current object) includes:

[0170] 0233: If the sensitive skin state of the current object is the second state, and in the first repair stage, determine whether the current user has sensitive symptoms in each set cycle;

[0171] 0234: If there are sensitive symptoms, it is recommended that the current user adopt the nursing plan in the first repair stage;

[0172] 0235: If there are no sensitive symptoms, it is recommended that the current user adopt the nursing plan in the second repair stage.

[0173] Specifically, please refer to Figure 28 , step 0233 can be implemented by the determination sub-module 233 of the sending module 230, step 0234 can be implemented by the third sending sub-module 234 of the sending module 230, and step 0235 can be implemented by the fourth sending sub-module 235 of the sending module 230. That is to say, if the sensitive skin state of the current object is the second state and it is in the first repair stage, the determination sub-module 233 can be used to determine whether there are sensitive symptoms of the current user in each set period; if there are sensitive symptoms, the third sending sub-module 234 recommends that the current user is in the first repair stage; if there are no sensitive symptoms, the fourth sending sub-module 235 recommends that the current user enter the second repair stage.

[0174] Among them, the set period can be one week. That is, if the sensitive skin state of the current object is moderately sensitive, when the current user uses the beauty device for strong soothing at 100 mw, if the beauty device is in the networked state, it can ask the current user every week whether there are still sensitive symptoms such as redness and stinging sensations. If the user answers that there are still such symptoms, it is recommended that the user maintain the current first repair stage, that is, continue to use the stent mode at 100 mw for strong soothing; if the user answers that there are no such symptoms, it is recommended that the user enter the second repair stage and use the mask mode at 40 mw for stability repair. If the beauty device is in the offline state, it can recommend that the current user judge by himself whether there are sensitive symptoms.

[0175] In this way, the repair plan can be flexibly recommended according to the user's physical sensations. When the user is not in a sensitive state and it is determined that the user's sensitive skin state has improved, there is no need to maintain the first repair stage. Therefore, it is recommended that the user enter the second repair stage for stability repair to avoid over-repair.

[0176] Please refer to Figure 29 , in some embodiments, the recommendation method is used for a beauty device, and the beauty device includes a daily care function. Step 023 (recommending a nursing plan according to the sensitive skin state of the current object) includes:

[0177] 0236: If the sensitive skin state of the current user is the first state, it is recommended that the current user use the daily care function of the beauty device;

[0178] 0237: If the sensitive skin state of the current user is the second state, it is recommended that the current user not use the daily care function of the beauty device, and the sensitivity degree of the second state is greater than that of the first state.

[0179] Specifically, please refer to Figure 30 , step 0236 can be implemented by the fifth sending sub-module 236 of the sending module 230, and step 0237 can be implemented by the sixth sending sub-module 237 of the sending module 230. That is to say, if the sensitive skin state of the current user is the first state, the fifth sending sub-module 236 can be used to recommend the daily care function of the beauty device for the current user; if the sensitive skin state of the current user is the second state, the sixth sending sub-module 237 recommends that the current user does not use the daily care function of the beauty device, and the sensitivity of the second state is greater than that of the first state.

[0180] Among them, in addition to the repair function, the beauty device also includes daily care functions such as color uniformity and brightening function, firming and wrinkle-reducing function, etc. It can recommend corresponding daily care according to the sensitive skin state of the current user. When the sensitive skin state of the current user is mildly sensitive, it is determined that the sensitive skin state of the user is relatively low, and it is recommended that the user can use the daily care function of the beauty device after the skin tends to be stable, and it is recommended to use the color uniformity and brightening function four times a week at a power of 10 mw, and use the firming and wrinkle-reducing function three times a week at a power of 35 mw. If the sensitive skin state of the current user is moderately sensitive, it is determined that the sensitive skin state of the current user is relatively serious, and it is recommended that the current user does not use the daily care function. When the skin of the current user returns to stability and there is no physical sensation such as redness and stinging, then use the daily care function.

[0181] In this way, it is possible to recommend whether to use the daily care function according to the sensitive skin state of the current user. When the current user is in the first state, it is recommended to use the daily care function; when the current user is in the second state, it is recommended not to use the daily care function.

[0182] An embodiment of the present invention provides a computer device, which includes one or more processors and a memory. The memory stores a computer program. When the computer program is executed by the processor, the steps of the determination method in any of the above embodiments or the steps of the recommendation method in any of the above embodiments are implemented.

[0183] In this way, it is possible to determine the score division criteria for multiple known sensitive skin states according to the score of the questionnaire and the known sensitive skin state, so that the sensitive skin state of the user can be evaluated according to the score criteria and the score of the questionnaire, and a corresponding care plan can be recommended according to the sensitive skin state.

[0184] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by the processor, the steps of the determination method in any of the above embodiments or the steps of the recommendation method in any of the above embodiments are implemented.

[0185] In this way, it is possible to determine the score division criteria for multiple known sensitive skin states based on the scores of the questionnaire and the known sensitive skin state. Thus, the sensitive skin state of the user can be evaluated according to the score criteria and the scores of the questionnaire, and a corresponding care plan can be recommended based on the sensitive skin state.

[0186] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0187] In addition, the term "connection" should be understood in a broad sense. For example, it can include fixed connection, can also include detachable connection, or integral connection; it can include direct connection, can also be indirectly connected through an intermediate medium, and can also include the communication inside two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present invention can be understood in specific situations.

[0188] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0189] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or part of the code including one or more executable instructions for implementing a specific logical function or process. And the scope of the preferred embodiments of the present invention includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in a reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0190] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as a limitation to the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for determining a classification standard for sensitive skin conditions, characterized in that, The determination method includes: Determining the scores of multiple questionnaires on sensitive skin conditions, each of the questionnaires including known sensitive skin conditions; Determining the score distribution pattern of each of the known sensitive skin conditions according to the scores of the multiple questionnaires; Determining the score division criteria for multiple known sensitive skin conditions according to the score distribution patterns of the multiple known sensitive skin conditions, and the score division criteria can be used to evaluate the corresponding sensitive skin conditions in combination with the scores of the questionnaires.

2. The determination method according to claim 1, characterized in that, The questionnaire includes multiple questions. Determining the scores of multiple questionnaires on sensitive skin conditions includes: Determining the degree of relevance between the answers to the questions and the known sensitive skin conditions, and the degree of relevance can be determined according to the correlation and / or mutual information between the answers to the questions and the known sensitive skin conditions; Determining valid questions according to the degree of relevance; Determining the scores of the questionnaires according to the valid questions.

3. The determination method according to claim 1 or 2, characterized in that, The questionnaire includes multiple questions. Determining the scores of multiple questionnaires on sensitive skin conditions includes: Determining the information amount of the answers to the questions, and the information amount can be determined according to variance and a machine learning model; Determining valid questions according to the information amount; Determining the scores of the questionnaires according to the valid questions.

4. The determination method according to claim 1, characterized in that Determining the scores of multiple questionnaires on sensitive skin conditions includes: Statistically calculating the scores of all questions in each questionnaire as the score of the corresponding questionnaire.

5. The determination method according to claim 1, characterized in that, The questionnaire includes multiple inducing factors, multiple symptom options, and multiple symptom degrees corresponding to each symptom option. Determining the scores of multiple questionnaires on sensitive skin conditions includes: Determining the symptom scores according to the scores of various symptom options and the scores of various symptom degrees in each questionnaire; Determining the inducing factor scores according to the scores of various inducing factors in each questionnaire; Determining the score of the corresponding questionnaire according to the symptom scores and the inducing factor scores.

6. The determination method according to claim 1, wherein The questionnaire includes multiple inducing factors, multiple symptom options, and multiple symptom degrees corresponding to each symptom option. Determining the scores of multiple questionnaires on sensitive skin conditions includes: Determining the scores of each symptom degree according to the number of selected symptom options in each questionnaire; Determining the symptom scores according to the scores of each symptom degree and the corresponding preset coefficients; Determining the inducing factor scores according to the number of selected inducing factors in each questionnaire; Determining the score of the corresponding questionnaire according to the symptom scores and the inducing factor scores.

7. The determination method according to claim 1, wherein The determining the score distribution pattern of each of the known sensitive skin conditions according to the scores of the multiple questionnaires includes: Determining the score distribution of each of the known sensitive skin conditions according to the scores of the multiple questionnaires; Scaling the score distribution of each of the known sensitive skin conditions so that the frequencies corresponding to each of the known sensitive skin conditions are the same; Determining the score distribution pattern of each of the known sensitive skin conditions according to the scaled score distribution.

8. The determination method according to claim 7, wherein The determining the score distribution of each of the known sensitive skin conditions according to the scores of the multiple questionnaires includes: Determine the distribution histogram of each of the known sensitive skin states based on the scores of multiple questionnaires as the score distribution of each of the known sensitive skin states. The distribution histogram includes a plurality of rectangular bars, and the sum of the areas of all the rectangular bars corresponding to the known sensitive skin state is the frequency corresponding to the known sensitive skin state; The scaling of the score distribution of each of the known sensitive skin states includes: Normalize the distribution histogram of each of the known sensitive skin states so that the sum of the areas of all the rectangular bars of the distribution histogram of each of the known sensitive skin states is the same.

9. The determination method according to claim 7, wherein The determination of the score distribution law of each of the known sensitive skin states according to the scaled score distribution includes: Perform Gaussian fitting on the scaled score distribution to obtain the score distribution fitting curves of various known sensitive skin states as the score distribution laws of each of the known sensitive skin states.

10. The determination method according to claim 1 or 9, characterized in that The determination of the score division criteria for multiple known sensitive skin states according to the score distribution laws of multiple known sensitive skin states includes: Determine the intersection points of the score distribution fitting curves of multiple known sensitive skin states as the score division lines for multiple known sensitive skin states to form the score division criteria for multiple known sensitive skin states.

11. A method for recommending a care plan based on the sensitive skin condition, characterized in that, The recommended method includes: Obtain the score division criteria for the known sensitive skin state, which are determined according to the score distribution laws of multiple known sensitive skin states, and the score distribution laws are determined according to the scores of multiple questionnaires, and each questionnaire includes the known sensitive skin state; Determine the sensitive skin state of the current object according to the score division criteria and the questionnaire of the current object; Recommend a care plan according to the sensitive skin state of the current object.

12. The recommendation method according to claim 11, wherein The recommended method is used for a beauty device, the beauty device includes a repair function, the care plan includes a first repair stage and a second repair stage. In the first repair stage, the current user uses the repair function of the beauty device at a first power. In the second repair stage, the current user uses the repair function of the beauty device at a second power. The first power is greater than the second power, and the sum of the times of the first repair stage and the second repair stage is a set time; The recommendation of the care plan according to the sensitive skin state of the current object includes: If the sensitive skin state of the current object is the first state, recommend that the current user adopt the care plan of the first repair stage and use the beauty device at a first frequency within the first time, and adopt the care plan of the second repair stage and use the beauty device at a first frequency after the first time; If the sensitive skin state of the current object is the second state, recommend that the current user adopt the care plan of the first repair stage and use the beauty device at a first frequency within the second time, and adopt the care plan of the second repair stage and use the beauty device at a second frequency after the second time. The sensitivity of the second state is greater than that of the first state, the second time is greater than the first time, and the second frequency is greater than the first frequency.

13. The recommended method according to claim 12, characterized in that, Recommending a care plan according to the sensitive skin state of the current object includes: If the sensitive skin state of the current object is the second state, when in the first repair stage, determine whether the current user has sensitive symptoms in each set cycle; If there are the sensitive symptoms, recommend that the current user adopt the care plan in the first repair stage; If there are no such sensitive symptoms, recommend that the current user adopt the care plan in the second repair stage.

14. The recommendation method according to claim 11, characterized in that The recommendation method is used for a beauty device, and the beauty device includes a daily care function. Recommending a care plan according to the sensitive skin state of the current object includes: If the sensitive skin state of the current user is the first state, recommend that the current user use the daily care function of the beauty device; If the sensitive skin state of the current user is the second state, recommend that the current user not use the daily care function of the beauty device, and the sensitivity degree of the second state is greater than that of the first state.

15. An apparatus for determining a classification standard for sensitive skin conditions, characterized in that, The determination device includes: A first determination module, which is used to determine the scores of multiple questionnaires on sensitive skin states, and each questionnaire includes a known sensitive skin state; A second determination module, which is used to determine the score distribution law of each known sensitive skin state according to the scores of multiple questionnaires; A third determination module, which is used to determine the score division criteria of multiple known sensitive skin states according to the score distribution laws of multiple known sensitive skin states, and the score division criteria can be used to evaluate the corresponding sensitive skin state in combination with the scores of the questionnaires.

16. A recommendation device for a care plan based on the sensitive skin condition, characterized in that, The recommendation device includes: An acquisition module, which is used to acquire the score division criteria of known sensitive skin states. The score division criteria are determined according to the score distribution laws of multiple known sensitive skin states, and the score distribution laws are determined according to the scores of multiple questionnaires, and each questionnaire includes a known sensitive skin state; A determination module, which is used to determine the sensitive skin state of the current object according to the score division criteria and the questionnaire of the current object; A sending module, which is used to recommend a care plan according to the sensitive skin state of the current object.

17. A computer device, characterized in that, The computer device includes one or more processors and a memory. When the computer program stored in the memory is executed by the processor, the steps of the determination method according to any one of claims 1 to 10 or the steps of the recommendation method according to any one of claims 11 to 14 are implemented.

18. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, the steps of the determination method according to any one of claims 1 to 10 or the steps of the recommendation method according to any one of claims 11 to 14 are implemented.

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