Method and system for recommending personalized health functional product

Abstract

A method and system for recommending personalized health functional products are provided, capable of providing information on combinations of functional ingredients, vitamins, and minerals according to predefined health functions. A personalized health functional product recommendation method according to one embodiment may include the steps of: collecting user data; analyzing the collected user data to calculate scores for a plurality of health functions; selecting a predetermined number of health functions among the plurality of health functions based on the calculated scores; accessing a database configured to store information on functional ingredients, vitamin information, and mineral information related to each of the plurality of health functions; verifying information on functional ingredients, vitamin information, and mineral information for each of the selected predetermined number of health functions in the database; and providing the verified information on functional ingredients, vitamin information, and mineral information.

Description

Technology Field

[0001] The following description concerns a method and system for recommending personalized health supplements. Background Technology

[0002] Health functional foods refer to foods manufactured using raw materials or ingredients that have beneficial functions for the human body. However, because such a wide variety of health functional foods exist, it is difficult for users to determine which one is suitable for them.

[0003] [Prior Art Literature]

[0004] Korean Published Patent No. 10-2018-0015804 The problem to be solved

[0005] We provide a personalized health functional product recommendation method and system capable of providing information on combinations of functional ingredients, vitamins, and minerals according to predefined health functions. means of solving the problem

[0006] A method for recommending personalized health functional products for a computer device comprising at least one processor, the method comprising: collecting user data by the at least one processor; analyzing the collected user data by the at least one processor to calculate a plurality of scores for each health function; selecting a predetermined number of health functions among the plurality of health functions based on the calculated scores by the at least one processor; accessing a database configured to store functional ingredient information, vitamin information, and mineral information related to each of the plurality of health functions by the at least one processor; verifying functional ingredient information, vitamin information, and mineral information for each of the selected predetermined number of health functions in the database by the at least one processor; and providing the verified functional ingredient information, vitamin information, and mineral information by the at least one processor.

[0007] According to one aspect, the database further includes functional product information corresponding to the functional ingredient information, multivitamin product information corresponding to the vitamin information, and mineral product information corresponding to the mineral information, and the providing step may be characterized by further providing functional product information corresponding to the identified functional ingredient information, multivitamin product information corresponding to the identified vitamin information, and mineral product information corresponding to the identified mineral information.

[0008] According to another aspect, the database stores vitamin information and mineral information according to a plurality of predefined classifications in relation to at least one of the plurality of health functions, and the verification step may be characterized by verifying functional ingredient information, vitamin information, and mineral information for each of the selected preset number of health functions, wherein, as vitamin information and mineral information for the at least one health function, the vitamin information and mineral information of the classification specified through the information included in the collected user data among the plurality of classifications may be verified.

[0009] According to another aspect, the plurality of classifications may be characterized by including a classification based on at least one of a range of gender, age, height, weight, body mass index, and a range of scores calculated for health function.

[0010] According to another aspect, the collecting step may be characterized by collecting the user's response obtained through a survey including questions related to each of the plurality of health functions as the user's data.

[0011] According to another aspect, the collecting step may be characterized by further collecting at least one of the numerical value obtained for the user through a non-invasive measurement method, the user's genetic analysis result, and the user's human biological material analysis result as the user's data.

[0012] A computer program is provided that is combined with a computer device and is recorded on a computer-readable recording medium to execute the above method on the computer device.

[0013] A computer-readable recording medium is provided on which a computer program for executing the above method is recorded on a computer device.

[0014] A computer device is provided that includes at least one processor implemented to execute a readable command on a computer device, wherein the at least one processor collects user data, analyzes the collected user data to calculate a plurality of scores for each health function, selects a preset number of health functions among the plurality of health functions based on the calculated scores, accesses a database configured to store functional ingredient information, vitamin information, and mineral information associated with each of the plurality of health functions, verifies the functional ingredient information, vitamin information, and mineral information for each of the selected preset number of health functions in the database, and provides the verified functional ingredient information, vitamin information, and mineral information. Effects of the invention

[0015] Information on combinations of functional ingredients, vitamins, and minerals can be provided according to predefined health functions. Brief explanation of the drawing

[0016] FIG. 1 is a drawing illustrating an example of a network environment according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating an example of a computer device according to an embodiment of the present invention. FIG. 3 is a diagram illustrating an example of a schematic view of a personalized health functional product recommendation system in one embodiment of the present invention. FIG. 4 is a flowchart illustrating an example of a personalized health functional product recommendation method according to an embodiment of the present invention. FIG. 5 is a drawing illustrating an example of a survey in an embodiment of the present invention. FIG. 6 is a diagram illustrating an example of a table in which health functions and functional ingredient information are stored in association, in one embodiment of the present invention. FIG. 7 is a diagram illustrating an example of a table in which health function, vitamin information, and mineral information are stored in association, in one embodiment of the present invention. FIG. 8 is a diagram illustrating an example of a table in which health functions, functional products, vitamin products, and mineral products are stored in association, in one embodiment of the present invention. FIG. 9 is a drawing illustrating another example of a table in which health functions, functional products, vitamin products, and mineral products are stored in association, in one embodiment of the present invention. FIGS. 10 and FIGS. 11 are drawings illustrating an example of recommending a personalized health functional product in an embodiment of the present invention. Specific details for implementing the invention

[0017] The present invention is susceptible to various modifications and may have various embodiments; specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the invention to specific embodiments, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention. Similar reference numerals have been used for similar components in the description of each drawing.

[0018] Terms such as first, second, A, B, etc., may be used to describe various components, but said components should not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component. The term "and / or" includes a combination of a plurality of related described items or any of a plurality of related described items.

[0019] When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "directly connected" to another component, it should be understood that there are no other components in between.

[0020] The terms used in this application are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0021] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0022] Hereinafter, embodiments will be described in detail with reference to the attached drawings.

[0023] A personalized health functional product recommendation system according to embodiments of the present invention may be implemented by at least one computer device, and a personalized health functional product recommendation method according to embodiments of the present invention may be performed through at least one computer device implementing the personalized health functional product recommendation system. A computer program according to one embodiment of the present invention may be installed and run on the computer device, and the computer device may perform a personalized health functional product recommendation method according to embodiments of the present invention under the control of the run computer program. The above-described computer program may be stored on a computer-readable recording medium to be combined with the computer device and to execute the personalized health functional product recommendation method on the computer device.

[0024] FIG. 1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention. The network environment of FIG. 1 illustrates an example including a plurality of electronic devices (110, 120, 130, 140), a plurality of servers (150, 160), and a network (170). FIG. 1 is an example for explaining the invention, and the number of electronic devices or servers is not limited to that shown in FIG. 1. Furthermore, the network environment of FIG. 1 is merely an example of one of the environments applicable to the present embodiments, and the environments applicable to the present embodiments are not limited to the network environment of FIG. 1.

[0025] Multiple electronic devices (110, 120, 130, 140) may be fixed terminals or mobile terminals implemented as computer devices. Examples of multiple electronic devices (110, 120, 130, 140) include smartphones, mobile phones, navigation systems, computers, laptops, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), tablet PCs, etc. For example, FIG. 1 shows the shape of a smartphone as an example of an electronic device (110), but in embodiments of the present invention, the electronic device (110) may substantially refer to one of various physical computer devices capable of communicating with other electronic devices (120, 130, 140) and / or servers (150, 160) via a network (170) using a wireless or wired communication method.

[0026] The communication method is not limited and may include not only communication methods utilizing communication networks (e.g., mobile communication networks, wired internet, wireless internet, broadcasting networks) that the network (170) may include, but also short-range wireless communication between devices. For example, the network (170) may include any one or more networks such as a PAN (personal area network), LAN (local area network), CAN (campus area network), MAN (metropolitan area network), WAN (wide area network), BBN (broadband network), and the Internet. Additionally, the network (170) may include any one or more network topologies such as a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or hierarchical network, but is not limited thereto.

[0027] Each of the servers (150, 160) may be implemented as a computer device or multiple computer devices that communicate with multiple electronic devices (110, 120, 130, 140) through a network (170) to provide commands, codes, files, content, services, etc. For example, the server (150) may be a system that provides services (e.g., content provision service, archiving service, file distribution service, map service, group call service (or voice conference service), messaging service, mail service, social network service, map service, translation service, financial service, payment service, search service, etc.) to multiple electronic devices (110, 120, 130, 140) connected through the network (170).

[0028] FIG. 2 is a block diagram illustrating an example of a computer device according to an embodiment of the present invention. Each of the plurality of electronic devices (110, 120, 130, 140) or servers (150, 160) described above can be implemented by the computer device (200) illustrated in FIG. 2.

[0029] As illustrated in FIG. 2, such a computer device (200) may include memory (210), a processor (220), a communication interface (230), and an input / output interface (240). The memory (210) is a computer-readable recording medium and may include a non-perishable mass storage device such as RAM (random access memory), ROM (read only memory), and a disk drive. Here, a non-perishable mass storage device such as a ROM and a disk drive may be included in the computer device (200) as a separate permanent storage device distinct from the memory (210). Additionally, an operating system and at least one program code may be stored in the memory (210). These software components may be loaded into the memory (210) from a computer-readable recording medium separate from the memory (210). This separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, or a memory card. In another embodiment, software components may be loaded into memory (210) via a communication interface (230) rather than a computer-readable recording medium. For example, software components may be loaded into memory (210) of a computer device (200) based on a computer program installed by files received through a network (170).

[0030] The processor (220) may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. Instructions may be provided to the processor (220) via memory (210) or a communication interface (230). For example, the processor (220) may be configured to execute instructions received according to program code stored in a recording device such as memory (210).

[0031] The communication interface (230) may provide a function for the computer device (200) to communicate with other devices (e.g., storage devices described above) through the network (170). For example, requests, commands, data, files, etc. generated by the processor (220) of the computer device (200) according to program code stored in a recording device such as memory (210) may be transmitted to other devices through the network (170) under the control of the communication interface (230). Conversely, signals, commands, data, files, etc. from other devices may be received by the computer device (200) through the communication interface (230) of the computer device (200) via the network (170). Signals, commands, data, etc. received through the communication interface (230) may be transmitted to the processor (220) or memory (210), and files, etc. may be stored in a storage medium (the permanent storage device described above) that the computer device (200) may further include.

[0032] The input / output interface (240) may be a means for interfacing with an input / output device (250). For example, the input device may include a device such as a microphone, keyboard, or mouse, and the output device may include a device such as a display or speaker. As another example, the input / output interface (240) may be a means for interfacing with a device in which the functions for input and output are integrated into one, such as a touchscreen. The input / output device (250) may be composed of a computer device (200) and a single device.

[0033] Additionally, in other embodiments, the computer device (200) may include fewer or more components than the components of FIG. 2. However, it is not necessary to clearly illustrate most of the prior art components. For example, the computer device (200) may be implemented to include at least some of the input / output devices (250) described above, or may include other components such as a transceiver, a database, etc.

[0034] FIG. 3 is a diagram illustrating an example of a general overview of a personalized health functional product recommendation system in an embodiment of the present invention. Each of the user device (310) and the server (320) shown in FIG. 3 can be implemented by the computer device (200) described above through FIG. 2. In the embodiment of FIG. 3, an example is described in which a user accesses a network (170) using the user device (310) and receives a personalized health functional product recommendation from the server (320). However, depending on the embodiment, the service provider may carry the user device (310) and recommend the personalized health functional product to the user. In another embodiment, the user device (310) may be implemented in a form that includes the function of a server (320) for recommending personalized health functional products.

[0035] In the embodiment of FIG. 3, the server (320) may collect user data through a user device (310) and / or a user-related database (330). For example, user data may include at least one of the information below (1) to (5).

[0036] (1) User responses obtained through a survey that includes questions related to each of the multiple health functions

[0037] (2) User input information obtained through surveys (gender, age, height, weight, eyesight, etc.)

[0038] (3) Numerical values ​​obtained from the user through a non-invasive measurement method (e.g., blood pressure measurement, stress index, height, weight, waist circumference, vision, etc.)

[0039] (4) User's genetic analysis results

[0040] (5) Analysis results of the user's human body material (e.g., blood, urine, feces, sweat, etc.)

[0041] For example, a user can access a webpage provided for a survey service through a user device (310) and respond to a survey. The information of (1) and (2) described above can be generated based on the information that the user enters into the webpage for this survey.

[0042] Meanwhile, the user-related database (330) may be a database that stores data stored in the local storage of the user's terminal (in the embodiment of FIG. 3, the user device (310)), or it may be a database of an institution where the user has undergone various tests (e.g., a public health center, a hospital, etc.). For example, if the user has undergone a blood test at a public health center, the server (320) may receive information regarding the blood test results from the public health center's database based on user consent. According to the embodiment, the content of the blood test results may be transmitted to the server (320) by the user inputting the blood test results confirmed from the public health center's database through the user device (310). As another example, if the user has undergone a health checkup at a hospital, the server (320) may receive the health checkup results from the hospital's database based on user consent. According to the embodiment, information regarding the health checkup results may also be received by the user inputting the content of the health checkup results.

[0043] The server (320) can recommend personalized health functional products for the user based on the collected user data. At this time, the server (320) can determine a health functional product suitable for the collected user data based on the health functional product database (340). For example, the health functional product database (340) may be configured to store functional ingredient information, vitamin information, and mineral information related to each of multiple health functions. In this case, the server (320) can select which health function is for the collected user, obtain functional ingredient information, vitamin information, and mineral information suitable for the selected health function, and determine and recommend a health functional product suitable for the user based on this. At this time, the health functional product database (340) may be implemented in the server (320), but it may also be implemented by a separate device from the server (320), so that the server (320) can access the health functional product database (340) implemented in the separate device through the network (170).

[0044] FIG. 4 is a flowchart illustrating an example of a personalized health functional product recommendation method according to an embodiment of the present invention. The personalized health functional product recommendation method according to the present embodiment can be performed by a computer device (200) that includes a personalized health functional product recommendation function, such as the server (320) described through FIG. 3. At this time, the processor (220) of the computer device (200) may be implemented to execute a control instruction according to the code of an operating system included in the memory (210) or the code of at least one computer program (for example, an application for a personalized health functional product recommendation function). Here, the processor (220) may control the computer device (200) so that the computer device (200) performs steps (410 to 470) included in the method of FIG. 4 according to the control instruction provided by the code stored in the computer device (200).

[0045] In step (410), the computer device (200) may collect user data. For example, the computer device (200) may collect user responses obtained through a survey that includes questions related to each of a plurality of health functions as user data. As another example, in addition to the above-mentioned responses, the computer device (200) may further collect at least one of numerical values ​​obtained from the user through a non-invasive measurement method, the user's genetic analysis results, and the user's human biological material analysis results as user data.

[0046] In step (420), the computer device (200) can analyze the collected user data to calculate multiple scores for each health function. For example, the questions included in the survey may be configured to express the response to a certain degree. In this case, the score may be determined based on the degree expressed by the responses to the questions related to the corresponding health function. As a more specific example, questions B and C related to health function A may be configured to select a value between 1 and 10 as a response, respectively. In this case, if the user selects '10' as the response to question B and '6' as the response to question C, the score for health function A may be calculated as '8', which is the average of '10' and '6'. This method of calculating the score is merely one example and may be implemented in various ways depending on the embodiment. For example, a weight calculated for health function A may be assigned to the score calculated in the above-described manner, based on at least one of the numerical value obtained for the user through a non-invasive measurement method, the user's genetic analysis results, and the user's human biological material analysis results. As a more specific example, regarding the health function "body fat," a weight based on the numerical value of "waist circumference" obtained from the user through a non-invasive measurement method may be assigned to the calculated score.

[0047] In step (430), the computer device (200) can select a preset number of health functions among a plurality of health functions based on the calculated score. For example, the computer device (200) can select three health functions in order of highest, second, and third rankings based on the calculated score.

[0048] In step (440), the computer device (200) can access a database configured to store functional ingredient information, vitamin information, and mineral information related to each of the plurality of health functions. Here, the database may correspond to the health function-product database (340) described through FIG. 3, for example.

[0049] In step (450), the computer device (200) can check functional ingredient information, vitamin information, and mineral information for each of the preset number of health functions selected in the database. According to an embodiment, the database may store vitamin information and mineral information according to a plurality of predefined classifications in relation to at least one of the plurality of health functions. For example, the plurality of classifications may include classifications according to at least one of gender, age range, height range, weight range, body mass index range, and the range of scores calculated for the health function. In this case, the computer device (200) checks the mineral information in step (450), and as vitamin information and mineral information for at least one health function, it can check the vitamin information and mineral information of the classification specified through the information included in the user data collected among the plurality of classifications. For example, the first classification is assumed to be a classification according to gender. In this case, regarding health function A, the database may include first functional ingredient information, first vitamin information, and first mineral information for the case where the user is male, and second functional ingredient information, second vitamin information, and second mineral information for the case where the user is female. In other words, regarding the same health function, different information may be provided depending on the user's classification (e.g., age, height, weight, gender, body mass index, etc.).

[0050] In step (460), the computer device (200) can provide identified functional ingredient information, vitamin information, and mineral information. For example, the identified information may be provided via a webpage or through printed media.

[0051] In step (470), the computer device (200) may further provide functional product information corresponding to the identified functional ingredient information, multivitamin product information corresponding to the identified vitamin information, and mineral product information corresponding to the identified mineral information. According to an embodiment, the database may further include functional product information corresponding to the functional ingredient information, multivitamin product information corresponding to the vitamin information, and mineral product information corresponding to the mineral information. In this case, the computer device (200) may provide not only the functional ingredient information, vitamin information, and mineral information identified through the database, but also functional product information corresponding to the identified functional ingredient information, multivitamin product information corresponding to the identified vitamin information, and mineral product information corresponding to the identified mineral information.

[0052] FIG. 5 is a diagram illustrating an example of a survey in an embodiment of the present invention. The health category is related to the health function described above, and the response to the question can be obtained in the form of a numerical value within a certain range to indicate the degree.

[0053] FIG. 6 is a diagram illustrating an example of a table in which health function and functional ingredient information are stored in association, in an embodiment of the present invention. The table of FIG. 6 may be a table included in the database described above (e.g., health function-product database (340)), and shows an example in which functional ingredient information is matched according to a health function. Numbers (F1 to F7) may correspond to identifiers of functional products containing the corresponding functional ingredient. Depending on the embodiment, the table may further include information such as the daily intake amount of the corresponding functional ingredient and / or the content of the functional ingredient included in the corresponding functional product.

[0054] FIG. 7 is a diagram illustrating an example of a table in which health function, vitamin information, and mineral information are stored in association, in an embodiment of the present invention. The table of FIG. 7 may be a table included in the database described above (e.g., health function-product database (340)), and shows an example in which vitamin information and mineral information are matched according to health function. Here, vitamin product numbers (V1 to V10) may correspond to identifiers of multivitamin products containing the corresponding vitamins, and mineral product numbers (M1 to M8) may correspond to identifiers of mineral products containing the corresponding minerals. Although detailed information of vitamins and minerals is omitted in FIG. 7, vitamin information and mineral information may be included, for example, as shown in Table 1 below.

[0055] Health Category functional ingredients vitamin minerals gut health Whole aloe leaf, indigestible maltodextrin, probiotics, wheat dietary fiber Vitamin A, Vitamin B1, Vitamin B12, Vitamin C, Vitamin E, Biotin 700 μg RE1.2 mg2.4 μg100 mg11 mg α-TE30 μg Magnesium copper selenium iodine 315 mg 0.8 mg 55 μg 150 μg fatigue Ginseng, red ginseng, plum extract, Rhodiola extract Vitamin K, Vitamin B1, Vitamin B2, Vitamin B6, Vitamin B12, Vitamin C 70 μg1.2 mg1.4 mg1.5 mg2.4 μg100 mg Selenium Manganese Copper Molybdenum 55 μg 3.0 mg 0.8 mg 25 μg Blood circulation / blood pressure Coenzyme Q10, red ginseng, ginkgo leaf extract, EPA and DHA-containing oil Vitamin B1, Vitamin B2, Vitamin B6, Vitamin B12, Vitamin C, Vitamin D, Niacin, Folic Acid, Pantothenic Acid 12 mg14 mg15 mg6 μg100 mg5 μg45 mg400 μg25 mg Calcium, magnesium, iron, zinc, selenium, copper, manganese 210 mg31.5 mg6 mg12.75 mg16.5 mg0.8 mg3 mg … … … … … …

[0056] Meanwhile, referring to FIGS. 6 and FIGS. 7, it is assumed that the health function "blood circulation / blood pressure" is selected for a male in his 40s. At this time, through FIGS. 6, "Coenzyme Q10, red ginseng, ginkgo leaf extract, and EPA and DHA-containing oil" can be identified as the functional ingredient information for the user, and "F3" can be identified as the functional product. Additionally, since the health function "blood circulation, blood pressure reduction" in FIGS. 7 is included in the major category "Metabolism," considering "male" and "Metabolism," the vitamin product "V4" (vitamin information refers to blood circulation / blood pressure in Table 1) and the mineral product "M6" (mineral information refers to blood circulation / blood pressure in Table 1) can be obtained. FIGS. 8 is a diagram illustrating an example of a table in which health functions, functional products, vitamin products, and mineral products are stored in association in an embodiment of the present invention. At this time, after the functional product is determined, the vitamin product and mineral product may differ depending on the determining factor F value. The determinant F value can be determined by various factors, such as the user's gender, age range, height range, weight range, body mass index range, and / or the range of scores calculated for health functions. For example, Figure 8 illustrates that the F value is determined by the Y and N values ​​depending on gender, and that vitamin and mineral products may vary accordingly. As a more specific example, for a user with an F value of Y, the combination of functional product "F3," vitamin product "V4," and mineral product "M6" may be recommended for the selected health function "blood circulation / blood pressure," as previously explained. On the other hand, for the same health function "blood circulation / blood pressure" selected for a user with an F value of N, the combination of functional product "F3," vitamin product "V8," and mineral product "M3" may be recommended.

[0057] FIG. 9 is a diagram illustrating another example of a table in which health functions, functional products, vitamin products, and mineral products are stored in association, in an embodiment of the present invention. In the embodiment of FIG. 9, the F value can be determined as one of 1, 2, 3, or 4, and the vitamin products and mineral products may differ accordingly. As a more specific example, the F value can be set to 1 when the gender is male and the body mass index falls within a specific range, the F value to 2 when the gender is female and the body mass index falls within a specific range, the F value to 3 when the gender is male and the body mass index falls outside a specific range, and the F value to 4 when the gender is female and the body mass index falls outside a specific range. As such, the F value can be specified as a number of values ​​(e.g., Y, N in FIG. 8 or 1, 2, 3, 4 in FIG. 9) depending on a combination of various factors (such as the user's gender, age range, height range, weight range, body mass index range and / or score calculated for health function), and various combinations of vitamin products and mineral products can be configured according to the number of F values.

[0058] As such, even for the same health function, different combinations of health functional products, vitamin products, and mineral products can be recommended depending on the classification of the user.

[0059] FIGS. 10 and 11 illustrate an example of recommending a personalized health functional product in an embodiment of the present invention. FIGS. 10 and 11 may be a part of a webpage screen for recommending a personalized health functional product to a user. According to an embodiment, FIGS. 10 and 11 may be a part of information displayed on a printed medium.

[0060] FIG. 10 shows an example of multiple health function scores calculated by analyzing user data. The embodiment of FIG. 10 shows an example where the health function "eye health" is selected as the first priority, the health function "cholesterol" as the second priority, and the health function "memory" as the third priority. Here, it is assumed that the health function "cholesterol" is included in the health function "blood circulation / blood pressure" or the health function "metabolism."

[0061] Figure 11 shows an example of recommending a functional product "F4" (and functional ingredient information "Marigold flower extract (Lutein)" and a multivitamin product "V6" (and vitamin information "Vitamin A, Vitamin B1, Vitamin B2, Vitamin B6, Vitamin B12, Vitamin C, Vitamin D, Vitamin E, Niacin, Folic Acid, Biotin, Pantothenic Acid") and a mineral product "M2" (and mineral information "Selenium, Copper, Calcium, Magnesium, Iron, Zinc") selected in relation to the health function "Eye Health" selected as the first priority for the user. It also shows that information regarding the functional product "F3" for the health function "Cholesterol" selected as the second priority and the functional product "F5" for the health function "Memory" selected as the third priority can also be provided.

[0062] Thus, according to embodiments of the present invention, information combining functional ingredients, vitamins, and minerals according to a predefined health function can be provided.

[0063] The system or device described above may be implemented as a hardware component, or a combination of a hardware component and a software component. For example, the device and component described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include multiple processing elements and / or multiple types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. In addition, other processing configurations, such as parallel processors, are also possible.

[0064] Software may include computer programs, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or instruct the processing unit independently or collectively. Software and / or data may be embodied in any type of machine, component, physical device, virtual equipment, computer storage medium, or device so as to be interpreted by the processing unit or to provide instructions or data to the processing unit. Software may be distributed over networked computer systems and may be stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0065] The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either individually or in combination. The medium may continuously store a program executable by a computer, or temporarily store it for execution or download. Furthermore, the medium may be various recording or storage means in the form of a single or multiple hardware components, and is not limited to a medium directly connected to a computer system, but may also exist distributed over a network. Examples of media may include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and media configured to store program instructions, including ROM, RAM, and flash memory. Additionally, other examples of media may include recording or storage media managed by app stores that distribute applications or sites and servers that supply or distribute various other software. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

[0066] Although the embodiments have been described above with reference to limited examples and drawings, those skilled in the art can make various modifications and variations from the description above. For example, suitable results can be achieved even if the described techniques are performed in a different order than described, and / or the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents.

[0067] Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims set forth below.

Claims

Claim 1 A method for recommending personalized health functional products for a computer device comprising at least one processor, comprising: collecting user data by the at least one processor; analyzing the collected user data by the at least one processor to calculate a plurality of scores for each health function; selecting a predetermined number of health functions among the plurality of health functions based on the calculated scores by the at least one processor; accessing a database configured to store functional ingredient information, vitamin information, and mineral information associated with each of the plurality of health functions by the at least one processor; and verifying the functional ingredient information, vitamin information, and mineral information for each of the selected predetermined number of health functions in the database by the at least one processor. The method includes the step of providing the identified functional ingredient information, vitamin information, and mineral information by the at least one processor, wherein the database further includes functional product information corresponding to the functional ingredient information, multivitamin product information corresponding to the vitamin information, and mineral product information corresponding to the mineral information, wherein different vitamin product information and mineral product information are stored for each of a plurality of predefined classifications for the same health function, and each of the plurality of classifications represents a classification for a user, and the identifying step further identifies vitamin product information and mineral product information of a classification specified by the information included in the collected user data among the different vitamin product information and mineral product information stored for the same health function as the selected health function after the functional product information corresponding to the functional ingredient information for the selected health function is identified, and each of the plurality of classifications includes the user's gender, age range, height range, weight range,A personalized health functional product recommendation method characterized by being determined by a determinant value specified as one of multiple values ​​according to a combination of multiple factors among a range of body mass index and a range of scores calculated for the selected health function, wherein the confirming step involves confirming a combination of vitamin product information and mineral product information that matches the determinant value specified according to the collected user data from a table in which different combinations of vitamin product information and mineral product information are pre-associated and stored according to the determinant value specified according to the collected user data among the multiple values, while the functional product information is commonly confirmed for users with the same selected health function, but for users whose determinant values ​​specified according to the collected user data are different from each other, different combinations of vitamin product information and mineral product information are respectively matched to the commonly confirmed functional product information. Claim 2 A personalized health functional product recommendation method according to claim 1, wherein the step of providing further provides the identified functional product information, the identified vitamin product information, and the identified mineral product information. Claim 3 delete Claim 4 delete Claim 5 A personalized health functional product recommendation method according to claim 1, wherein the collecting step is characterized by collecting user responses obtained through a survey including questions related to each of the plurality of health functions as user data. Claim 6 A personalized health functional product recommendation method according to claim 1, wherein the collecting step further collects at least one of a numerical value obtained for the user through a non-invasive measurement method, a genetic analysis result of the user, and a human biological material analysis result of the user as the user's data. Claim 7 A computer program recorded on a computer-readable recording medium to be combined with a computer device to execute the method of claim 1, 2, 5, or 6 on the computer device. Claim 8 A computer-readable recording medium having a computer program recorded thereon for executing the method of paragraph 1, paragraph 2, paragraph 5, or paragraph 6 on a computer device. Claim 9 The system includes at least one processor implemented to execute a readable command on a computer device, wherein the at least one processor collects user data, analyzes the collected user data to calculate a plurality of scores for each health function, selects a preset number of health functions among the plurality of health functions based on the calculated scores, accesses a database configured to store functional ingredient information, vitamin information, and mineral information associated with each of the plurality of health functions, verifies the functional ingredient information, vitamin information, and mineral information for each of the selected preset number of health functions in the database, and provides the verified functional ingredient information, vitamin information, and mineral information, wherein the database further includes functional product information corresponding to the functional ingredient information, vitamin product information corresponding to the vitamin information, and mineral product information corresponding to the mineral information, wherein different vitamin product information and mineral product information are stored for each of a plurality of predefined classifications for the same health function, and each of the plurality of classifications represents a classification of the user, wherein the at least one processor verifies the functional product information corresponding to the functional ingredient information for the selected health function, and through the information included in the collected user data among the different vitamin product information and mineral product information stored for the same health function as the selected health function Further confirming vitamin product information and mineral product information of a specified category, and each of the above multiple categories is determined by a determining factor value specified as one of multiple values ​​according to a combination of multiple factors among the user's gender, age range, height range, weight range, body mass index range, and the range of scores calculated for the selected health function, and by the above at least one processor, with the functional product information first determined according to the selected health function,A computer device characterized by identifying a combination of vitamin product information and mineral product information that matches a specific determinant value according to the collected user data from a table in which different combinations of vitamin product information and mineral product information are pre-associated and stored according to a specific determinant value according to the collected user data among the plurality of values, wherein for users with the same selected health function, the functional product information is commonly determined, but for users whose specific determinant values ​​according to the collected user data are different from each other, a combination of different vitamin product information and mineral product information is respectively matched to the commonly determined functional product information. Claim 10 A computer device according to claim 9, characterized in that it further provides the identified functional product information, the identified vitamin product information, and the identified mineral product information by the at least one processor.

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