KR102278646B1 - Customized food recommendation system - Google Patents

Abstract

The present invention relates to a customized food recommendation system which shows if a food selected by a customer is suitable to the customer or not, comprising: an information reception unit which receives food identification information about the food selected by the customer, and customer identification information; a food bio database (DB) which stores information about normalizing the amount of metabolites contained in each food matched with the food identification information, the relation information about whether each metabolite activates or suppresses each gene in each form and quality, and at least one of the genetic information, physical information, and lifelong information about the customer; and a unit for calculating the involvement of food in personal traits, which extracts information matched with each of the received food identification information and customer identification information from the food bio DB, generates a plurality of matrices, calculates the generated plurality of matrices, and calculates and outputs the involvement of food in personal traits, which shows the influence of the food selected by the customer on the genes of the customer for each trait.

Description

Customer-tailored food recommendation system {CUSTOMIZED FOOD RECOMMENDATION SYSTEM}

The present invention relates to a food recommendation system, and more particularly, to a customized food recommendation system for indicating whether the food selected by the customer is suitable food for the customer.

A general food recommendation system was a method of recommending food in consideration of simple measurement values such as physical characteristics and diseases of customers (or individuals). However, there is a limit to recommending suitable foods to customers only with such simple information on the body.

In order to overcome this limitation, there is a "mobile-based personalized recommended food providing system and its providing method" published in Republic of Korea Patent Publication No. 10-1259130. The exemplified "mobile-based personalized recommended food providing system and its providing method" recommends the most suitable food for each individual through an individual's health condition and hair analysis.

As another food recommendation system, there is a "food ingredient confirmation and alternative food recommendation server device and method" published in Korean Patent Application Laid-Open No. 10-2018-0131230. This example system recommends foods that are free of factors that may have a dangerous effect on an individual's disease by inducing them to set information about individual diseases.

However, the food recommendation systems exemplified above have limitations in recommending food because they simply recommend food in consideration of disease or disease and body information. There is a problem in having no choice but to purchase and consume recommended foods.

Accordingly, a new system is needed to check whether the food selected by the customer is a food suitable for the customer's own genes for various traits, as well as the compatibility between the food selected by the customer as well as the same type of food and the customer. There is a need for a new food recommendation system that can provide customers with an opportunity to reasonably choose the food that best suits their current health condition.

Republic of Korea Patent Publication No. 10-12591320 Republic of Korea Patent Publication No. 10-2018-0131230

Accordingly, the present invention is an invention created in accordance with the above-mentioned necessity, and an object of the present invention is to compare the food selected by the customer and the ingredients of the selected food and the same type of food together, so that the customer can select the food suitable for the customer. To provide a food recommendation system.

Furthermore, another object of the present invention is to comprehensively analyze the current health status information that can reflect individual genetic and physical characteristics as well as dietary habits and environmental factors so that the food selected by the customer can contain the customer's transgenes. It is to provide a customized food recommendation system that can calculate and display information indicating whether to participate positively or negatively.

In addition, the present invention is to provide a customized food recommendation system that can reduce the size and processing load of the system by simplifying the analysis procedure of the food bio-relational network for recommending personalized food.

A customer-customized food recommendation system according to a first embodiment of the present invention for achieving the above object is a system that can be built in a portable customer information terminal or a server computer system that can be connected to the customer information terminal through a communication network,

An information receiving unit for receiving food identification information and customer identification information of the food selected by the customer;

Information that normalizes the amount of metabolites contained in each food matching the food identification information, relationship information that each metabolite activates or inhibits each gene for each trait, and at least the customer's genetic information, body information, and health status A food bio database (DB) that stores customer information including at least one of information and life log information;

The metabolite information contained in the customer-selected food having the received food identification information and the metabolite information contained in a similar food belonging to the same food group as the customer-selected food are extracted from the food biodatabase and the content of metabolite information is compared It is characterized in that it includes a food comparison unit to output.

Furthermore, the customer-tailored food recommendation system of the above configuration is another deformable second embodiment, and extracts information matching each of the received food identification information and customer identification information from the food bio DB to generate a plurality of matrices. Another feature is that it further includes a food personal trait involvement calculator that calculates and outputs the individual trait involvement of the food that the customer selected food affects the gene for each trait of the customer by calculating the plurality of matrices generated.

Furthermore, the food personal trait involvement calculation unit,

The first matrix contains information that normalizes the amount of metabolites contained in the food selected by the customer as an element, and the relationship information that each metabolite contained in the food selected by the customer activates or inhibits each gene for each trait as an element. and a third matrix in which at least one of the customer's genetic information, body information, health status information, and life log information is extracted from the food bio DB to derive individual weights for each gene for each trait and use these as elements After the matrix is generated, the product of the plurality of matrices is multiplied by a support matrix for adding matrix values in units of traits to calculate the degree of involvement in individual traits of food.

As another modified embodiment, the customer-customized food recommendation system according to the third embodiment of the present invention,

An information receiving unit for receiving food identification information and customer identification information of the food selected by the customer;

Information that normalizes the amount of metabolites contained in each food matching the food identification information, relationship information that each metabolite activates or inhibits each gene for each trait, and at least the customer's genetic information, body information, and health status A food bio database (DB) that stores customer information including at least one of information and life log information;

Information matching each of the received food identification information and customer identification information is extracted from the food bio DB to generate a plurality of matrices, and by calculating the plurality of matrices, the food selected by the customer is stored in the customer's trait-specific gene. It is characterized in that it includes a food personal trait involvement calculation unit for calculating and outputting the influence of food personal trait involvement. If the customer-tailored food recommendation system is a system built on a server computer system, it may further include an information transmitter configured to transmit a result of calculating the degree of involvement in the individual characteristics of the food to the customer information terminal.

According to the above-described technical problem solving means, the present invention can not only induce the customer to select the food suitable for the customer by comparing the food selected by the customer and the ingredients of the selected food and the same type of food, but also save time and time for food comparison. It has the effect of saving effort.

In addition, the customer-customized food recommendation system according to an embodiment of the present invention comprehensively collects current health status information, survey contents, life log information, etc. that can reflect individual genetic and physical characteristics as well as dietary habits and environmental factors. Because it calculates and displays information indicating whether the food selected by the customer will be positively or negatively involved in the customer's transgenes by analyzing it with There are advantages.

In addition, the present invention calculates the degree of involvement in the individual traits of food by creating a new sparse matrix using individual weights that can be derived based on the customer's individual physical activity and lifestyle, etc. that affect the genes for each trait as elements. There is an advantage in that the size and processing load of the system can be reduced by simplifying the analysis procedure of the bio-relational network. This provides the practical benefit of being able to build a customer-customized food recommendation system according to an embodiment of the present invention in a portable customer information terminal.

1 is an exemplary diagram of a peripheral configuration of a customer-customized food recommendation system 200 according to an embodiment of the present invention.
2 is an exemplary configuration diagram of a customer-customized food recommendation system 200 according to the first embodiment of the present invention.
3 is an exemplary view of information display that can be displayed on the customer information terminal 100 according to an embodiment of the present invention.
4 is an exemplary configuration diagram of a customer-customized food recommendation system 200 according to a second embodiment of the present invention.
5 is an exemplary operation flow diagram of the customer-customized food recommendation system 200 according to the second embodiment of the present invention.
6 to 8 are diagrams for explaining the calculation process of food personal trait involvement 240 according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following detailed description of the present invention refers to the accompanying drawings, which show by way of illustration a specific embodiment in which the present invention may be practiced, in order to clarify the objects, technical solutions and advantages of the present invention. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention.

Also throughout this description and claims, the word 'comprise' and variations thereof are not intended to exclude other technical features, additions, components or steps. Other objects, advantages and characteristics of the present invention will appear to a person skilled in the art, in part from this description, and in part from practice of the present invention. The following illustrations and drawings are provided by way of illustration and are not intended to limit the invention. Moreover, the invention encompasses all possible combinations of the embodiments indicated herein. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. In addition, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description set forth below is not intended to be taken in a limiting sense, and the scope of the invention, if properly described, is limited only by the appended claims, along with all scope equivalents to those claimed.

Unless otherwise indicated herein or otherwise clearly contradicted by context, items referred to in the singular encompass the plural unless the context requires otherwise. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted, and among the terms used below, 'food individual It is assumed that 'trait involvement' refers to the degree to which food is involved in, ie, affects, individual traits.

First, FIG. 1 is an example of a peripheral configuration of a customer-customized food recommendation system 200 according to an embodiment of the present invention.

As shown, the customer-tailored food recommendation system 200 according to the embodiment of the present invention can be connected to a plurality of customer information terminals 100 and the external agency server 300 through a communication network.

It is assumed that the external institution server 300 is a server operated or built by a medical institution or genetic test center for online transmission of customer health checkup information and genetic information to the customer-customized food recommendation system 200 . Of course, the customer's health checkup information and genetic information issued by the external agency server 300 may be received from the customer through printed matter and registered in the customer-customized food recommendation system 200 .

The customer information terminal 100 obtains food identification information attached or printed on food and provides it to the customer-customized food recommendation system 200 through a communication network, and the customer uses his/her information terminal 100, such as food recommendation Enter the information required to receive the service, such as lifestyle and body information. In addition, the customer information terminal 100 may receive and display information provided by the customer-customized food recommendation system 200 , for example, a calculation result value of personal trait involvement in food, which will be described later.

This customer information terminal 100 is equipped with means (camera, scanner, reader, etc.) for photographing or scanning food identification information such as bar codes, QR codes, and Braille codes, as well as mobile communication terminals capable of interworking, as well as peripheral communication devices and It may be an interoperable computer system (tablet PC, notebook, etc.). Depending on the implementation method, the camera is used to photograph food, and the captured image may be transmitted to a customer-customized food recommendation system 200 to be described later and recognized as a specific food through a pre-learned artificial intelligence (network).

Meanwhile, the customer-customized food recommendation system 200 compares and outputs the metabolite information contained in the food selected by the customer and the metabolite information contained in the food selected by the customer and the similar food belonging to the same food group according to the implementation method. You can allow customers to choose food that suits their health condition.

In addition, the customer-customized food recommendation system 200 determines how the food (or several foods) selected by the customer affects the customer's trait-specific genes (eg, diabetes, diabetes/GCKR, diabetes/PAX4, obesity,...). It is also possible to calculate and output the degree of involvement in the individual traits of food so that customers can select foods that have a positive effect on their trait-specific genes.

Hereinafter, the configuration and specific operation of the above-described customized food recommendation system 200 according to different embodiments will be described in detail. Hereinafter, the customer-customized food recommendation system 200 built in the server computer system will be described, but the customer-customized food recommendation system 200 may be installed and driven in the customer information terminal 100 in the form of one application. to be.

2 is a diagram illustrating the configuration of a customer-tailored food recommendation system 200 according to the first embodiment of the present invention, and FIG. 3 shows information display that can be displayed on the customer information terminal 100 according to the embodiment of the present invention. it is foreshadowed The customer-customized food recommendation system 200 shown in FIG. 2 depends on the implementation method,

An information receiving unit 210 for receiving food identification information and customer identification information of the food selected by the customer;

Information that normalizes the amount of metabolites contained in each food matching the food identification information, relationship information that each metabolite activates or inhibits each gene for each trait, and at least customer genetic information and body information and a food bio database (DB, 230) that stores customer information including at least one of health status information and life log information);

Metabolite information contained in the customer-selected food having the received food identification information and metabolite information contained in a similar food belonging to the same food group as the customer-selected food is extracted from the food bio-database 230 to obtain metabolite information. It may include only the food comparison unit 220 that compares and outputs the content.

For reference, the food identification information and customer identification information of the food selected by the customer may be transmitted through the app installed in the customer information terminal 100, and the customer information terminal 100 connected to the system 200 without installing a separate app. Information that may be input and transmitted through

Among the terms used in the following description, the term metabolite refers to a nutrient component contained in food, and includes vitamin C, calcium, selenium, iron, carbohydrates, dietary fiber, and the like.

That is, if the amount of metabolites contained in each food matching each food identification information is normalized and registered in the food bio database 230 in advance, the customer obtains the food identification information of the food selected by the customer through the app later. When transmitting to the customized food recommendation system 200 , the food comparison unit 220 may extract metabolite information contained in food having food identification information received through the information receiving unit 210 from the food bio database 230 . have.

In addition, the food comparison unit 220 extracts the metabolite information contained in the similar food belonging to the same food group as the food selected by the customer through the received food identification information (including the food (product) name) from the food bio database 230. The content of metabolite information can be compared and displayed as shown in FIG. 3 .

Referring to FIG. 3 , the food comparison unit 220 displays metabolite information, for example, the content of food additives and trans fats, contained in the selected food selected by the customer and the similar food of Company A and Company B in the form of a bar graph. By indicating, the customer can compare the content of metabolite information and choose similar foods from other manufacturers, rather than the selected foods, according to their health condition or preference. In addition, it is possible to select and recommend one food with a high total value between the selected food and similar food by adding each value of the metabolite information contained therein.

Therefore, the present invention has the effect of not only inducing the customer to select the food suitable for the customer by comparing the food selected by the customer and the ingredients of the selected food and the same type of food, but also saving time and effort for food comparison. have.

In the above example, the content of metabolites of the same type of food was simply compared and displayed, but the degree of involvement of the customer's selected food (metabolites in food) in the customer's individual trait (gene by trait) is quantified and displayed to customers. may be This will be described in more detail with reference to FIG. 5 .

For reference, in the embodiment of the present invention, among the information stored in the food bio DB 230, the relation information that each metabolite activates or inhibits each gene for each trait is “1” or “-1”, and the metabolite is Relational information in the case of activating a gene for each trait is defined as "1", and relational information in the case of repression is defined as "-1".

As another deformable embodiment, the above-described customized food recommendation system 200 may further include a food personal trait involvement calculator 240 .

The food personal trait involvement calculator 240 extracts information matching each of the received food identification information and customer identification information from the food bio DB 230 to generate a plurality of matrices, and calculates the generated plurality of matrices. Calculations and outputs the degree of personal trait involvement of foods that the customer's selected food affects (positive or negative influence) on the customer's trait-specific genes.

More specifically, the food personal trait involvement calculation unit 240 includes an FM matrix (Food Metabolite Matrix) using information normalized to the amount of metabolites contained in the food selected by the customer, and the metabolites contained in the food selected by the customer. MT matrix (Metabolite Trait/Gene Matrix), which has relational information that activates or suppresses each gene (Trait/Gene) for each trait, and customer's genetic information, body information, health status information, and life log information One or more of these are extracted from the food bio DB 230 to derive individual weights for each gene for each trait to generate a Personal Weight Matrix (PW) using them as elements. By multiplying the matrix values by a helper matrix to add the matrix values, the degree of personal trait involvement of food is calculated.

For reference, the PW matrix corresponding to the third matrix is preferably expressed in the form of a substitution matrix as shown in FIG. 7 in order to simplify the analysis procedure of the food bio-related network to lighten the size and processing load of the system.

In addition, the previous method of recommending food using only genetic test results only reflects an individual's innate genetic factors and has a limitation in not reflecting environmental factors. Since the biological activity of the human body is dynamically and time-series changed by various environmental factors, it is desirable to find an individual acquired biological activity change factor and reflect it in food recommendations.

To this end, in the embodiment of the present invention, the customer's current health status (health check-up, survey), life log (step count, heart rate, body temperature, sleep information, etc.), eating habits (meal time, food intake, life habit, etc.) to generate the PW matrix to calculate the degree of involvement in food personal traits. Since many apps for obtaining life log information, such as steps, heart rate, and body temperature, are already known, they can be installed in the customer's information terminal 100 to obtain necessary life log information.

On the other hand, in order to promote customer convenience, the above-described customer-tailored food recommendation system 200 as another modified embodiment of the present invention is one of the customer's genetic information and health status information having the received customer identification information. It may further include a customer information acquisition unit 250 for requesting transmission of the health checkup information to the external institution server 300 and storing it in the food bio DB 230 .

If the customer-tailored food recommendation system 200 described in FIG. 2 is built in the customer information terminal 100, the above-described information receiving unit 210, the food comparison unit 220, and the food personal trait involvement calculation unit 240 are As a collection of application program codes, it is stored and executed in the memory of the portable customer information terminal 100, and the aggregate of application codes further includes a food identification information acquisition unit 260 for photographing and acquiring food identification information of food. may include In this case, the food bio DB 230 is located on the server side, extracts information requested from the customer information terminal 100 and transmits it to the customer information terminal 100 or an app installed in the customer information terminal 100, Individual trait involvement can be calculated.

As described above, the operation of the customized food recommendation system 200 further including the food personal trait involvement calculation unit 240 is similar to the operation of the customized food recommendation system 200 shown in FIG. 4 described below. Detailed description will be given later.

Meanwhile, FIG. 4 illustrates the configuration of a customer-customized food recommendation system 200 according to a second embodiment of the present invention, and FIG. 5 is a customer-customized food recommendation system 200 according to a second embodiment of the present invention. 6 to 8 are diagrams each for explaining the calculation process of the food personal trait involvement 240 according to an embodiment of the present invention.

The customer-customized food recommendation system 200 shown in FIG. 4 also includes an information receiving unit 205 for receiving food identification information and customer identification information of the food selected by the customer;

Information that normalizes the amount of metabolites contained in each food matching the food identification information, relationship information that each metabolite activates or inhibits each gene for each trait, and at least the customer's genetic information, body information, and health status A food bio database (DB, 225) for storing customer information including at least one of information and life log information;

Information matching each of the received food identification information and customer identification information is extracted from the food bio DB 225 to generate a plurality of matrices, and by calculating the plurality of matrices, the food selected by the customer is the trait of the customer. It basically includes a food personal trait involvement calculation unit 215 for calculating and outputting the individual trait involvement of the food affecting the star gene.

The customized food recommendation system 200 having such a configuration may further include an information transmitter 235 for transmitting the calculated personal trait involvement calculation result of the food to the customer information terminal 100 . It is assumed that the customer-customized food recommendation system 200 is built in the server system.

Furthermore, the customer-customized food recommendation system 200 shown in FIG. 4 requests transmission of the customer's genetic information and health status information, which is one of the customer identification information, to the external agency server 300 . It may further include a customer information acquisition unit 245 to store in the food bio DB (225).

The food personal trait involvement calculation unit 215 shown in FIG. 4 also includes an FM matrix using information normalized to the amount of metabolites contained in the food selected by the customer as an element, and each metabolite contained in the food selected by the customer is classified by trait. An MT matrix using relational information that activates or suppresses each gene, and extracts one or more of the customer's genetic information, body information, health status information, and life log information from the food bio DB 225, After deriving individual weights for each gene and creating a PW matrix using them as elements, the product of these multiple matrices is multiplied by a support matrix for adding matrix values in units of traits to calculate the degree of involvement in individual traits in food. The PW matrix is preferably expressed in the form of a permutation matrix.

If it is assumed that the customer-customized food recommendation system 200 shown in FIG. 4 is built in the customer information terminal 100, the information receiving unit 205 and the food personal trait involvement calculation unit 215 are a set of application program codes. Doedoe stored in the memory of a portable customer information terminal and executed, the set of application program codes may further include a food identification information acquisition unit 255 for photographing and acquiring the food identification information.

Hereinafter, the operation of the customer-customized food recommendation system 200 according to an embodiment of the present invention will be described in detail with reference to FIGS. 5 to 8 ,

First, a customer who wants to know whether a specific food is suitable for him/herself selects one or more foods and obtains food identification information attached or printed on the packaging of each food through his/her information terminal 100 (scan, photograph, leading act).

The food identification information of the obtained food is transmitted to the customer-customized food recommendation system 200 together with the logged-in customer identification information. Accordingly, the information receiving unit 205 of the customized food recommendation system 200 receives (acquires) food identification information and customer identification information (step S10).

The food identification information and customer identification information of the food selected by the customer through the information receiving unit 205. The food personal trait involvement calculation unit 215 receives information that matches each of the received food identification information and customer identification information. A plurality of matrices are generated (step S40) by extracting from the DB 225 (steps S20 and S30).

More specifically, the food personal trait involvement calculation unit 215 receives information that normalizes the amount of metabolites (vitamin C, calcium, iron, ..) contained in the food (carrot, walnut, aronia, onion) selected by the customer. Create an FM matrix with elements. An example of such an FM matrix is the first matrix on the left shown in FIG. 7 .

In addition, the food personal trait involvement calculation unit 215 uses relational information that activates or inhibits each gene (diabetes, diabetes/GCKR, PAX4,..) for each trait by each metabolite contained in the food selected by the customer as an element. Create an MT matrix. An example of such an MT matrix is the second matrix from the left shown in FIG. 7 .

In addition, the food personal trait involvement calculation unit 215 uses the received customer identification information to convert one or more of the customer's genetic information, body information, health status information, and life log information, preferably information related to all of them, to food biometric information. By extracting from the DB 225 and deriving individual weights for each gene for each trait, a PW matrix using these as elements is generated. An example of such a PW matrix is the third matrix from the left shown in FIG. 7 .

For reference, the method of deriving the individual weights for each gene by trait is to compare the extracted information, for example, the answers of the survey contents with the reference value, and then set the individual weights to “1”, “-1”, By assigning "0", the value of each element can be derived. The generated FM matrix and MT matrix are fixed values, and the PW matrix is a variable value depending on the customer.

On the other hand, when three matrices are generated, the food personal trait involvement calculator 215 is a helper matrix for adding matrix values in units of traits to the product of a plurality of generated three matrices as shown in FIG. 6 . Calculate the degree of involvement in the individual trait of the food by multiplying it (step S50). An example of such a calculation is shown in FIG. 8 .

Thereafter, the food personal trait involvement calculation unit 215 outputs the calculated information. The output may be expressed differently depending on the established location of the system. That is, if it is built in the server system, it is transmitted to the customer information terminal 100 , and if the system is built in the customer information terminal 100 , it is displayed on the display unit.

As a result, the customer who selects the food sees the calculated value of the personal trait involvement of the food displayed on his or her information terminal 100 and determines which food is a food that can positively affect his or her transgenes or what kind of food can have a negative effect on his or her transgenes. You can tell if it's food. Looking at the calculated values shown in FIG. 8 , carrots can be considered as food having a positive effect on diabetes, and onions can be considered as food having a relatively negative effect on obesity.

According to the embodiments described above, the customer-customized food recommendation system according to the embodiment of the present invention provides current health status information and survey contents that can reflect not only individual genetic and physical characteristics, but also dietary habits and environmental factors. , life log information, etc. are comprehensively analyzed to calculate and display information indicating whether the food selected by the customer is positively or negatively involved in the customer's transgenes, so it can recommend the optimal food for the current customer's condition. There are advantages that can be

In addition, the present invention calculates the degree of involvement in the individual traits of food by creating a new sparse matrix using individual weights that can be derived based on the customer's individual physical activity and lifestyle, etc. that affect the genes for each trait as elements. There is an advantage in that the size and processing load of the system can be reduced by simplifying the analysis procedure of the bio-relational network. This provides the practical benefit of being able to build a customer-customized food recommendation system according to an embodiment of the present invention in a portable customer information terminal.

The present invention has been described above with reference to the embodiments shown in the drawings, but these are merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be defined only by the appended claims.

Claims (12)

an information receiving unit for receiving food identification information and customer identification information of the food selected by the customer;
Information that normalizes the amount of metabolites contained in each food matching the food identification information, relationship information that each metabolite activates or inhibits each gene for each trait, and at least the customer's genetic information, body information, and health status a food bio database (DB) for storing customer information including at least one of information and life log information;
The metabolite information contained in the customer-selected food having the received food identification information and the metabolite information contained in a similar food belonging to the same food group as the customer-selected food are extracted from the food biodatabase and the content of metabolite information is compared a food comparison unit to output;
The first matrix contains information that normalizes the amount of metabolites contained in the food selected by the customer as an element, and the relationship information that each metabolite contained in the food selected by the customer activates or inhibits each gene for each trait as an element. and a third matrix in which at least one of the customer's genetic information, body information, health status information, and life log information is extracted from the food bio DB to derive individual weights for each gene for each trait and use these as elements After generating a matrix, the product of the plurality of matrices is multiplied by a support matrix for adding a matrix value in units of traits to calculate and output the personal trait involvement of food by a food personal trait involvement calculator that includes; Customer-tailored food recommendation system. delete delete The system according to claim 1, wherein the third matrix is expressed in the form of a substitution matrix. The customer information according to claim 1 or 4, wherein the customer information is stored in the food bio DB by requesting transmission of the health checkup information, which is one of the genetic information and health status information of the customer having the received customer identification information, to an external agency server. Acquisition unit; Customer-customized food recommendation system, characterized in that it further comprises. The method according to claim 1 or 4, wherein the information receiving unit, the food comparison unit, and the food personal trait involvement calculation unit is stored in the memory of a portable customer information terminal as a collection of application program code is executed and driven, the aggregate of the application program codes is a customer-customized food recommendation system, characterized in that it further comprises a food identification information acquisition unit for photographing and acquiring the food identification information. an information receiving unit for receiving food identification information and customer identification information of the food selected by the customer;
Information that normalizes the amount of metabolites contained in each food matching the food identification information, relationship information that each metabolite activates or inhibits each gene for each trait, and at least the customer's genetic information, body information, and health status a food bio database (DB) for storing customer information including at least one of information and life log information;
The first matrix contains information that normalizes the amount of metabolites contained in the food selected by the customer as an element, and the relationship information that each metabolite contained in the food selected by the customer activates or inhibits each gene for each trait as an element. and a third matrix in which at least one of the customer's genetic information, body information, health status information, and life log information is extracted from the food bio DB to derive individual weights for each gene for each trait and use these as elements After generating a matrix, the product of the plurality of matrices is multiplied by a support matrix for adding a matrix value in units of traits to calculate and output the personal trait involvement of food by a food personal trait involvement calculator that includes; Customer-tailored food recommendation system. [8] The system according to claim 7, further comprising: an information transmitter for transmitting the result of calculating the degree of involvement in the individual characteristics of the food to the customer information terminal. delete The system according to claim 7, wherein the third matrix is expressed in the form of a substitution matrix. 11. The method according to any one of claims 7, 8, and 10, wherein the information receiving unit and the food personal trait involvement calculation unit are stored in a memory of a portable customer information terminal as a collection of application program codes and executed, the application program code Customer-tailored food recommendation system, characterized in that the aggregate further comprises a food identification information acquisition unit for photographing and acquiring the food identification information. The food according to any one of claims 7, 8, and 10, by requesting transmission of health checkup information, which is one of the genetic information and health status information of the customer having the received customer identification information, to an external agency server. Customer-tailored food recommendation system, characterized in that it further comprises; customer information acquisition unit to store in the bio DB.

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