KR20220075139A - Recipe customized for users and method for providing meal-kit products using the same - Google Patents

Abstract

A user-customized recipe and a method of providing a meal kit product using the same are provided. A user-customized recipe and a method of providing a meal kit product using the recipe according to various embodiments of the present invention is a meal kit (Meal-) comprising ingredients and seasonings required for cooking and a recipe for the dish, which are performed by a computing device as one set. kit) A method of providing a service for recommending a product to a user, comprising the steps of: collecting information about the user; selecting one or more meal kit products from among a plurality of meal kit products based on the information on the user and providing information on the selected one or more meal kit products to the user as information on recommended meal kit products.

Description

A user-customized recipe and a method of providing a meal kit product using the recipe

Various embodiments of the present invention relate to a user-customized recipe and a method for providing a meal kit product using the same.

Meal-kit is a product that consists of a set of prepared ingredients, the right amount of seasoning, and a recipe for cooking. Fresh ingredients are delivered refrigerated prior to cooking, and consumers must cook according to the enclosed recipe. It is particularly popular among single-person households and dual-income households because it is cheaper and healthier than eating out and saves time to purchase and clean ingredients.

In particular, 'milk kit' is in the spotlight as a new growth engine for the food industry in the post-corona era. This reflects the consumer's need for easy cooking at home with fresh ingredients as food resistance becomes commonplace.

In fact, the meal kit is experiencing rapid growth due to the corona crisis. Presage, which occupies about 70% of the domestic meal kit market, grew 4.7 times as of April this year compared to April last year, and the sales of meal kits supplied to restaurants more than doubled during this period. My Chef, a company specializing in meal kits, also saw sales in March grow by more than 400% compared to the same month last year.

Above all, the main effect was that the main demand for milk kits expanded from those in their 20s to 40s with high purchasing power due to the Corona crisis. It is predicted that the meal kit market this year will soar to 200 billion won this year, which has more than tripled from the previous year.

Conventionally, users access a sales site that sells a meal kit product, directly search for, select, and pay for a meal kit product they want to purchase to purchase a meal kit product.

However, in the case of such a conventional meal kit product purchase method, there is an inconvenience in that the customer has to search and find each food, ingredient, and flavor product that he or she prefers, and each customer's situation (eg, a customer's disease, There is a problem in that it is difficult to satisfy the different needs of each customer because only a standardized product for application to a large number of customers is provided without considering the drug or diet being taken).

Korean Patent Registration No. 10-2020183 (2019.09.03)

The problem to be solved by the present invention is to analyze various information about the user (eg, personal information, preferred food information and non-preferred food information, disease information, status information, etc.) It is to provide a user-customized recipe and a method of providing a meal kit product using the same.

Another problem to be solved by the present invention is a user-customized recipe that can provide a recipe developed by a specific chef in response to a request for providing a meal kit product obtained from a user or recommend and provide a meal kit product generated based on the recipe, and It is to provide a method for providing a meal kit product using the.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

A user-customized recipe and a method for providing a meal kit product using the same according to an embodiment of the present invention for solving the above-described problems include a set of ingredients and seasonings required for cooking and a recipe for the dish, which are performed by a computing device A method of providing a service for recommending a meal-kit product composed of It may include the steps of selecting a meal kit product and providing information about the selected one or more meal kit products to the user as information about the recommended meal kit product.

In various embodiments, the collecting may include preference food information including information on the type of food preferred by the user, ingredients, seasoning and taste, and types of food, ingredients, seasonings, and flavors not preferred by the user. collecting non-preferred food information including information on One or more meal kit products corresponding to the type of food preferred by the user or including ingredients and seasonings preferred by the user or having a taste preferred by the user are selected from among the remaining meal kit products, wherein the selected one or more wheat When the kit product includes ingredients and seasonings not preferred by the user, the user-preferred ingredients and seasonings included in the selected one or more meal kit products are replaced with ingredients and seasonings preferred by the user, and When one or more meal kit products have a taste not preferred by the user, the method may include replacing the ingredients and seasonings having a taste not preferred by the user with the ingredients and seasonings having a taste preferred by the user.

In various embodiments, the replacing may include, when the selected one or more meal kit products include a first ingredient that the user does not prefer, the attribute of the first ingredient - the attribute of the first ingredient is the first ingredient. Including at least one of nutritional components, calorie, taste, texture, and recipe of food ingredients - selecting a second ingredient having a similarity with a reference value or more, and selecting the first ingredient included in the selected one or more meal kit products and replacing the first ingredient with the second ingredient, wherein the replacing of the first ingredient with the selected second ingredient may include, when there is no second ingredient having a similarity with the attribute of the first ingredient that is equal to or greater than the reference value, the selected ingredient. Determining whether the first ingredient may be excluded from one or more meal kit products, and when it is determined that the first ingredient may be excluded, excluding the first ingredient from the selected one or more meal kit products, 1 When it is determined that the ingredient should not be excluded, the step of excluding the selected one or more meal kit products from the recommendation target may be included.

In various embodiments, the collecting may further include collecting disease information including information about the user's underlying disease and information about the drug the user is taking, and the replacing may include: Based on the user's underlying disease and the type of drug the user is taking, if it is determined that the selected one or more meal kit products contain ingredients and seasonings that the user should refrain from ingesting, it is possible to consume by pre-stored disease and substituting the ingredients and seasonings that the user should refrain from eating with the ingredients and seasonings that the user should consume based on the impossible food data.

In various embodiments, the selecting includes changing the weight of each of a plurality of ingredients and seasonings included in the selected one or more meal kit products based on the information about the user, and each of the plurality of ingredients and seasonings It may include changing the recipe of the selected one or more meal kit products in response to the change in weight.

In various embodiments, the providing includes information about a vendor selling each of a plurality of ingredients included in the selected one or more meal kit products, a sales page for other ingredients sold by the vendor, and hosting by the vendor It may include the step of providing information about the event to be held.

In various embodiments, the method further comprises providing a purchase process for any one meal kit product selected by the user among the selected one or more recommended meal kit products, wherein the providing of the purchase process includes: Obtaining a user input requesting to change a vendor for any one of a plurality of ingredients included in any one meal kit product, and providing the one ingredient from a first vendor according to the obtained user input It may include providing a payment process for changing one first ingredient to a second ingredient provided by a second vendor, and paying for the one meal kit product in which the one ingredient is changed to the second ingredient have.

In various embodiments, the method further comprises the step of receiving a rating for any one meal kit product purchased through the purchase process from the user, wherein the step of receiving the rating includes: To calculate the rating of any one of the meal kit products by receiving a rating for input, or individually inputting scores for a plurality of ingredients and seasonings included in any one of the meal kit products, and summing the individually input scores may include steps.

In various embodiments, receiving a request for providing a meal kit product including a keyword related to at least one of ingredients, seasoning, and taste from the user, and transferring the received request for providing a meal kit product from the user to a pre-designated culinary expert and receiving the user-customized recipe from the culinary expert in response to transmitting the collected meal kit product provision request, providing the received user-customized recipe to the user, and the received user-customized recipe as a meal kit It is transmitted to the product manufacturer server, and in response to transmitting the received user customized recipe, information on the user customized meal kit product corresponding to the user customized recipe is provided from the meal kit product manufacturer server, and the provided user customized wheat It may further include the step of providing information about the kit product to the user.

A user-customized recipe and a meal kit product providing apparatus using the same according to another embodiment of the present invention for solving the above-described problems are loaded into a processor, a network interface, a memory, and the memory, and executed by the processor A computer program comprising: an instruction for collecting information about a user; an instruction for selecting one or more meal kit products from among a plurality of meal kit products based on the information on the user; It may include an instruction for providing information on one or more meal kit products to the user as information on recommended meal kit products.

A computer program according to another embodiment of the present invention for solving the above problems is combined with a computing device, collecting information about a user, based on the information on the user, among a plurality of meal kit products It may be stored in a computer-readable recording medium to execute the steps of selecting one or more meal kit products and providing the user with information on the selected one or more meal kit products as information on recommended meal kit products. .

Other specific details of the invention are included in the detailed description and drawings.

According to various embodiments of the present invention, by analyzing various information about the user (eg, personal information, preferred food information and unpreferred food information, disease information, status information, etc.), it is possible to recommend and provide a meal kit product suitable for the user. have.

In addition, by providing a recipe developed by a specific chef in response to a request to provide a meal kit product obtained from a user or by recommending a meal kit product created based on the recipe, a recipe or meal kit product that can satisfy the needs of the user is provided. can provide

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a diagram illustrating a system for providing a user-customized meal kit product recommendation service according to an embodiment of the present invention.
2 is a hardware configuration diagram of an apparatus for providing a user-customized meal kit product recommendation service according to another embodiment of the present invention.
3 is a flowchart of a method for providing a user-customized meal kit product recommendation service according to another embodiment of the present invention.
4 is a flowchart of a method of substituting ingredients and seasonings of a meal kit product based on information about a user, in various embodiments.
5 is a flowchart of a method of determining a rating for a meal kit product, in various embodiments.
6 is a diagram illustrating a process of providing user-customized recipe information in response to a user's request for providing a meal kit product, in various embodiments.
7 is a diagram illustrating a process of providing information about a meal kit product based on user-customized recipe information in response to a user's request for providing a meal kit product, in various embodiments.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments allow the disclosure of the present invention to be complete, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully understand the scope of the present invention to those skilled in the art, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other components in addition to the stated components. Like reference numerals refer to like elements throughout, and "and/or" includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various elements, these elements are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first component mentioned below may be the second component within the spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used herein will have the meaning commonly understood by those of ordinary skill in the art to which this invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

As used herein, the term “unit” or “module” refers to a hardware component such as software, FPGA, or ASIC, and “unit” or “module” performs certain roles. However, “part” or “module” is not meant to be limited to software or hardware. A “unit” or “module” may be configured to reside on an addressable storage medium or to reproduce one or more processors. Thus, as an example, “part” or “module” refers to components such as software components, object-oriented software components, class components and task components, processes, functions, properties, Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Components and functionality provided within “parts” or “modules” may be combined into a smaller number of components and “parts” or “modules” or as additional components and “parts” or “modules”. can be further separated.

Spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe the correlation between a component and other components. Spatially relative terms should be understood as terms including different directions of components during use or operation in addition to the directions shown in the drawings. For example, when a component shown in the drawing is turned over, a component described as “beneath” or “beneath” of another component may be placed “above” of the other component. can Accordingly, the exemplary term “below” may include both directions below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a computer refers to all types of hardware devices including at least one processor, and may be understood as encompassing software configurations operating in the corresponding hardware device according to embodiments. For example, a computer may be understood to include, but is not limited to, smart phones, tablet PCs, desktops, notebooks, and user clients and applications running on each device.

In addition, in this specification, it is explained that a customized meal kit product (eg, a product consisting of ingredients required for cooking, seasoning, and a recipe for cooking in one set) is recommended and provided to the user using various information about the user. The present invention is not limited thereto, and may be applied to various fields, such as providing only a recipe, not a product.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Each step described in this specification is described as being performed by a computer, but the subject of each step is not limited thereto, and at least a portion of each step may be performed in different devices according to embodiments.

1 is a diagram illustrating a system for providing a user-customized meal kit product recommendation service according to an embodiment of the present invention.

Referring to FIG. 1 , a system for providing a user-customized meal kit product recommendation service according to an embodiment of the present invention includes an apparatus for providing a user-customized meal kit product recommendation service 100 , a user terminal 200 , and an external server 300 . can do.

Here, the user-customized meal kit product recommendation service providing system shown in FIG. 1 is according to an embodiment, and its components are not limited to the embodiment shown in FIG. 1, and may be added, changed, or deleted as necessary. can

In one embodiment, the user-customized meal kit product recommendation service providing apparatus 100 may collect information about the user from the user, and based on the collected information on the user, one or more meal kit products among a plurality of meal kit products can recommend

In various embodiments, the user-customized meal kit product recommendation service providing apparatus 100 selects a recommended meal kit product corresponding to information about the user using a meal kit product recommendation model, and provides information on the selected recommended meal kit product. can be provided to users.

Here, the milk kit product recommendation model is a model that performs big data analysis, and analyzes the user's personal characteristics, preferences, and non-preference information (eg, spicy, liver (salty, sweet, etc.), allergy to each ingredient, food style, etc.) Thus, it may be a model that recommends a meal kit product optimized for the user to cook and eat. However, the present invention is not limited thereto, and any method of recommending and providing a meal kit product preferred by the user, such as a method using a pre-learned artificial intelligence model using the recommended meal kit product data according to various information about the user as learning data, is applicable. It is possible.

In an embodiment, the user terminal 200 may be connected to the user-customized meal kit product recommendation service providing apparatus 100 through the network 400 , and a user interface provided from the user-customized meal kit product recommendation service providing apparatus 100 . Information about the user may be input through (User Interface, UI) or one or more keywords related to a request for recommending a meal kit product may be input.

In various embodiments, the user terminal 200 may include a smartphone, a tablet PC, a desktop, and a laptop having a display on at least a portion of the user terminal 200, and providing a user-customized meal kit product recommendation service through the display A UI provided from the device 100 may be output. However, the present invention is not limited thereto.

In one embodiment, the external server 300 may be connected to the user-customized meal kit product recommendation service providing device 100 through the network 400, and the user-customized meal kit product recommendation service providing device 100 is the user-customized wheat kit product recommendation service providing device 100 . Various types of information (eg, information on a plurality of meal kit products, etc.) may be provided to perform the kit product recommendation service provision process. For example, the external server 300 may be a server of a manufacturer of a meal kit product that manufactures and sells each of a plurality of meal kit products. However, the present invention is not limited thereto.

In various embodiments, the external server 300 provides various types of information (eg, information on each of a plurality of users) generated when the apparatus 100 for providing a user-customized meal kit product recommendation service performs a user-customized meal kit product recommendation service provision process. , meal kit product sales information, etc.) can be provided and stored. For example, the external server 300 may be a storage server separately provided outside the user-customized meal kit product recommendation service providing apparatus 100 , but is not limited thereto. Hereinafter, a hardware configuration of the user-customized meal kit product recommendation service providing apparatus 100 will be described with reference to FIG. 2 .

2 is a hardware configuration diagram of an apparatus for providing a user-customized meal kit product recommendation service according to another embodiment of the present invention.

Referring to FIG. 2 , an apparatus 100 for providing a user-customized meal kit product recommendation service according to another embodiment of the present invention (hereinafter, “computing device 100”) is provided to one or more processors 110 and the processor 110 . It may include a memory 120 for loading the computer program 151 executed by the computer program 151 , a bus 130 , a communication interface 140 , and a storage 150 for storing the computer program 151 . Here, only the components related to the embodiment of the present invention are shown in FIG. 2 . Accordingly, one of ordinary skill in the art to which the present invention pertains can see that other general-purpose components other than those shown in FIG. 2 may be further included.

The processor 110 controls the overall operation of each component of the computing device 100 . The processor 110 includes a central processing unit (CPU), a micro processor unit (MPU), a micro controller unit (MCU), a graphic processing unit (GPU), or any type of processor well known in the art. can be

In addition, the processor 110 may perform an operation for at least one application or program for executing the method according to the embodiments of the present invention, and the computing device 100 may include one or more processors.

In various embodiments, the processor 110 temporarily and/or permanently stores a signal (or data) processed inside the processor 110 , a random access memory (RAM) and a read access memory (ROM). -Only Memory, not shown) may be further included. In addition, the processor 110 may be implemented in the form of a system on chip (SoC) including at least one of a graphic processing unit, a RAM, and a ROM.

The memory 120 stores various data, commands and/or information. The memory 120 may load the computer program 151 from the storage 150 to execute methods/operations according to various embodiments of the present disclosure. When the computer program 151 is loaded into the memory 120 , the processor 110 may perform the method/operation by executing one or more instructions constituting the computer program 151 . The memory 120 may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

The bus 130 provides a communication function between components of the computing device 100 . The bus 130 may be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

The communication interface 140 supports wired/wireless Internet communication of the computing device 100 . In addition, the communication interface 140 may support various communication methods other than Internet communication. To this end, the communication interface 140 may be configured to include a communication module well known in the art. In some embodiments, the communication interface 140 may be omitted.

The storage 150 may non-temporarily store the computer program 151 . When the user-customized meal kit product recommendation service provision process is performed through the computing device 100 , the storage 150 may store various types of information necessary to provide the user-customized meal kit product recommendation service provision process.

The storage 150 is a non-volatile memory such as a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, or well in the art to which the present invention pertains. It may be configured to include any known computer-readable recording medium.

The computer program 151 may include one or more instructions that, when loaded into the memory 120 , cause the processor 110 to perform methods/operations according to various embodiments of the present invention. That is, the processor 110 may perform the method/operation according to various embodiments of the present disclosure by executing the one or more instructions.

In one embodiment, the computer program 151 may perform the steps of collecting information about the user, selecting one or more meal kit products from among a plurality of meal kit products based on the information about the user, and selecting one or more meal kit products It may include one or more instructions for performing a method of providing a user-customized meal kit product recommendation service including providing information about the product to the user as information on the recommended meal kit product.

The steps of a method or algorithm described in relation to an embodiment of the present invention may be implemented directly in hardware, as a software module executed by hardware, or by a combination thereof. A software module may contain random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any type of computer-readable recording medium well known in the art to which the present invention pertains.

The components of the present invention may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium. Components of the present invention may be implemented as software programming or software components, and similarly, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, including C, C++ , may be implemented in a programming or scripting language such as Java, assembler, or the like. Functional aspects may be implemented in an algorithm running on one or more processors. Hereinafter, a method of providing a user-customized meal kit product recommendation service provided by the computing device 100 will be described with reference to FIGS. 3 to 7 .

3 is a flowchart of a method for providing a user-customized meal kit product recommendation service according to another embodiment of the present invention.

Referring to FIG. 3 , in step S110 , the computing device 100 may collect information about the user.

In various embodiments, the computing device 100 may provide a UI for inputting information about the user to the user terminal 200 (eg, a member registration UI for use of a user-customized meal kit product recommendation service), and the UI Through this, various types of information about the user may be input from the user.

Here, the information about the user includes personal information such as the user's age, gender, address, height, weight, constitution, etc., preferred food information including information on the type of food the user prefers, ingredients, seasoning and taste, and the user Non-preferred food information including information on the type of food, ingredients, seasoning and taste that is not preferred, disease information including information about the user's underlying disease (eg allergy, etc.), and information about medications being taken (or medical information information) and the user's status information (eg, diet, diet control, vegetarianism, low-salt diet, bulk-up, etc.). However, the present invention is not limited thereto, and the information about the user may include all information that can be collected about the user (eg, a restaurant business brand preferred by the user, cooking skills, etc.).

In various embodiments, the computing device 100 may collect various types of information about the user from the external server 300 . For example, the computing device 100 uses information about the user's SNS account input through the membership registration UI, and various contents (eg, food images, videos, food) uploaded to the user's SNS account from the SNS server. related text, etc.) can be collected, and information about the user can be extracted from the collected various contents. However, the present invention is not limited thereto, and various methods for collecting information about the user may be applied.

In various embodiments, the computing device 100 stores and manages information about the user collected according to the information collection operation for the user (eg, step S110), but stores and manages information about the user for security of information about the user. It can be encrypted or de-identified. In addition, in some cases, information about users can be stored and managed using blockchain technology. However, the present invention is not limited thereto.

In step S120 , the computing device 100 may select one or more meal kit products from among a plurality of meal kit products as a recommendation target based on information about the user.

In various embodiments, the computing device 100 filters the meal kit products corresponding to the type of food not preferred by the user among the plurality of meal kit products, and filters the remaining meal kit products (eg, among the plurality of meal kit products). (other than the meal kit products corresponding to the types of food not preferred by the user), which correspond to the type of food preferred by the user, contain ingredients and seasonings preferred by the user, or have the user's preferred taste You may select more than one meal kit product.

For example, when the type of food that the user does not prefer is food using seafood and the type of food that the user prefers is food using chicken, the computing device 100 uses seafood among a plurality of meal kit products. You can exclude meal kit products corresponding to , and select one or more meal kit products that include chicken as a food ingredient among the remaining meal kit products. However, the present invention is not limited thereto, and the computing device 100 first performs an operation of selecting a meal kit product including ingredients and seasonings preferred by the user from among a plurality of meal kit products, and then the user selects a meal kit product from the selected meal kit product. An operation of excluding a meal kit product corresponding to a type of food not preferred by the user, an operation of excluding a type of food not preferred by the user, and an operation of selecting a meal kit product including ingredients and seasoning preferred by the user can be performed simultaneously.

In various embodiments, the computing device 100 based on the information about the user, a plurality of users having a similar property to the user, that is, a meal kit product purchased by users having a similar tendency to the user, each of the plurality of users A meal kit product having a high rating input from can be selected as a recommendation target. For example, the computing device 100 may group a plurality of users among users with similar tendencies based on information on each of the plurality of users, and a meal kit product or group with a good rating among users within the group. A meal kit product frequently purchased by users within the group may be recommended and provided to other users included in the group.

In various embodiments, the computing device 100 may provide disease information about the user (eg, information on the user's underlying disease and information on the drug the user is taking, blood test results, allergy test results, medical examination progress, medical history, etc.) ) and pre-stored edible and impossible food data for each disease, judged to be good for the user to eat (e.g., alleviating the symptoms of the user's underlying disease or improving the efficacy of the drug the user is taking) A meal kit product corresponding to the food to be eaten can be selected as a recommendation target.

For example, based on the user's underlying disease information, the computing device 100 determines whether the type of food that the user prefers, does not include ingredients and seasonings preferred by the user, or does not have the user's preferred taste. Select a meal kit product corresponding to a food that is helpful for the disease you have as a recommendation target (e.g., if the user has high blood pressure, wheat containing onions, garlic, spinach, cinnamon, olive oil, etc. as ingredients that help high blood pressure) kit products).

In addition, the computing device 100 determines that it is not good for the user to eat (eg, worsening the symptoms of the user's underlying disease) based on the disease information about the user and the pre-stored ingestible and impossible food data for each disease. A meal kit product corresponding to the determined food may be excluded from the recommendation.

For example, based on the information on the user's underlying disease, the type of food preferred by the user, the user's preferred ingredients and seasonings, or even if the user has a preferred taste, the user's disease is adversely affected. Meal kit products corresponding to harmful foods (eg, cholelithiasis- foods containing high-cholesterol ingredients (eg eel), diabetes- foods containing fruits, etc.) may be excluded from recommendations.

In addition, the computing device 100 improves the efficacy of the drug the user is taking, even if the user does not prefer it, based on information about the drug the user is taking (eg, a drug prescribed for a disease, nutritional supplement, or herbal medicine, etc.) A meal kit product corresponding to the food that can be ordered may be selected as a recommendation target, or even if the user prefers it, a meal kit product corresponding to a food that may reduce the efficacy of the drug the user is taking may be excluded from the recommendation target.

In various embodiments, the computing device 100 may select one or more meal kit products as a recommendation target based on the user's state information. For example, when it is determined that the user is on a diet, the computing device 100 selects, as a recommendation target, a meal kit product containing ingredients helpful for dieting among a plurality of meal kit products preferred by the user, or A meal kit product that is less than or equal to a set value can be selected as a recommendation target.

In various embodiments, when it is determined that the user is on a diet based on the user's state information, the computing device 100 may automatically adjust the weight of ingredients and seasonings included in a plurality of meal kit products preferred by the user. have. However, the present invention is not limited thereto, and the computing device 100 may replace high-calorie ingredients and seasonings with low-calorie ingredients and seasonings, and select a meal kit product replaced with low-calorie ingredients and seasonings as a recommendation target.

In various embodiments, the computing device 100 selects, as a recommendation target, one or more meal kit products including ingredients preferred by the user from among a plurality of meal kit products, but based on the food compatibility data for each ingredient, the user prefers Select a meal kit product that includes the first ingredient and a second ingredient with good food compatibility (e.g., miso-chive, potato-cheese, mackerel-radish, oyster-lemon, chicken-ginseng, etc.) as a recommended target, or Meal kit products that contain the preferred first ingredient and the third ingredient (eg, tomato-sugar, crab-honey, seaweed-green onion, etc.) that do not have good food compatibility may be excluded from recommendations.

In various embodiments, the computing device 100 selects a meal kit product corresponding to the type of food preferred by the user among a plurality of meal kit products, including ingredients and seasoning preferred by the user, or having a taste preferred by the user. Although selected as a recommendation target, a meal kit product determined to be impossible for the user to cook according to the user's cooking skill may be excluded from the recommendation target.

For example, when the user's cooking skill input from the user is at a beginner level, the computing device 100 selects a meal kit product having a low cooking difficulty among a plurality of meal kit products as a recommended meal kit product, and has a high cooking difficulty level. Meal kit products can be excluded from recommendations.

Here, the cooking difficulty set for each meal kit product is set in advance while developing each of a plurality of grades (eg, Easy grade, Medium grade, Hard grade, Expert grade), or a plurality of cooking experts (eg, : It may be determined by the evaluation of cooks), but is not limited thereto, and keywords for cooking difficulty (eg, "Cooking is difficult" ", "cooking is relatively easy", etc.) and may be determined based on a keyword for the extracted cooking difficulty.

In various embodiments, the computing device 100 may select one or more meal kit products as a recommendation target based on the user's cooking environment. For example, when the current cooking environment of the user is an environment suitable for frying, the computing device 100 may select one or more meal kit products including a fried recipe from among a plurality of meal kit products as a recommendation target. In addition, when it is determined that the current user's cooking environment is an environment unsuitable for roasting, the computing device 100 may exclude one or more meal kit products including a baking recipe from among the plurality of meal kit products from recommendation. have.

In various embodiments, the computing device 100 may select one or more meal kit products as a recommendation target based on the user's meal kit product purchase history. For example, the computing device 100 considers various external factors such as the attribute of each of the plurality of meal kit products purchased by the user and the date, time, and season at which each of the plurality of meal kit products were purchased, the user's purchase of the meal kit product. The pattern may be extracted and, based on the user's purchase pattern of the meal kit product, one or more meal kit products may be selected as a recommendation target.

In various embodiments, the computing device 100 includes ingredients and seasonings not preferred by the user in one or more meal kit products selected as a recommendation target, or includes in one or more meal kit products when the user has a taste not preferred by the user. Substitutes the user's preferred ingredients and seasonings for ingredients and seasonings that the user does not like, or replaces the user's preferred flavoring ingredients and seasonings for one or more meal kit products with ingredients and seasonings that the user prefers can do. Hereinafter, it will be described with reference to FIG.

4 is a flowchart of a method of substituting ingredients and seasonings of a meal kit product based on information about a user, in various embodiments.

Referring to FIG. 4 , in step S210 , the computing device 100 includes a recommended meal kit product selected based on information about the user (eg, corresponding to the type of food preferred by the user or ingredients and seasoning preferred by the user). or one or more milk kit products having a taste preferred by the user).

For example, the computing device 100 analyzes the ingredients included in each of the one or more meal kit products selected in step S120 of FIG. 3 , the type of seasoning, the nutritional components, calories, taste, texture, and recipe of each ingredient and seasoning. can do.

In addition, the computing device 100 may classify whether each of a plurality of ingredients and seasonings included in the recommended milk kit product is a food material and seasoning preferred by the user or a food material and seasoning not preferred by the user, and added to the recommended meal kit product. Whether each of the included plurality of ingredients and seasonings has a taste preferred by the user or a taste not preferred by the user may be classified. However, the present invention is not limited thereto.

In step S220 , the computing device 100 may determine whether ingredients and seasonings not preferred by the user exist in the recommended meal kit product according to the analysis result of the recommended meal kit product performed in step S210 .

In step S230 , when it is determined that there are ingredients and seasonings not preferred by the user in the recommended meal kit product through step S220 , in step S230 , the computing device 100 selects the ingredients and seasonings not preferred by the user for other ingredients that the user prefers. and seasoning.

In various embodiments, when the recommended meal kit product includes a first food material that is not preferred by the user, the computing device 100 determines the properties of the first food material (eg, nutritional component, calorie, taste, texture, and A value obtained by scoring the similarity between the at least one of the recipes) and the attributes of each of the plurality of second ingredients preferred by the user (eg, scoring the ratio of information on similar or identical attributes among information on all attributes), and scoring the similarity A second ingredient that is equal to or greater than the reference value may be selected as an alternative ingredient, and the first ingredient included in the recommended meal kit product may be substituted with the selected second ingredient.

In various embodiments, when there is no second food ingredient having a similarity with the attribute of the first ingredient not less than a reference value (eg, the computing device 100 has the same or similar nutritional component as the first ingredient and tastes the same or similar) If the second ingredient is absent), if the priority is the nutritional ingredient according to the priority set by the user, the second ingredient having the same or similar image component as the image ingredient of the first ingredient may be selected, In the case of taste, the second ingredient having the same or similar taste to that of the first ingredient may be selected.

In various embodiments, when there is no second food ingredient having a similarity with the attribute of the first ingredient not less than a reference value (eg, the computing device 100 has the same or similar nutritional component as the first ingredient and tastes the same or similar) If the second ingredient is absent), it may be determined whether the first ingredient may be excluded from one or more meal kit products.

In this case, when it is determined that the first ingredient may be excluded, the computing device 100 may exclude the first ingredient from one or more meal kit products. For example, when the computing device 100 cooks one or more meal kit products in a state excluding the first ingredient, there is no significant change in the nutritional components or taste of the whole meal kit product, that is, the first ingredient is the milk kit. If it is not an essential ingredient of the product, the first ingredient included in one or more meal kit products may be excluded.

On the other hand, when it is determined that the first ingredient should not be excluded, the computing device 100 may exclude one or more meal kit products themselves from the recommendation target. For example, when the computing device 100 cooks one or more meal kit products in a state excluding the first ingredient, when a large change occurs in the nutritional components or taste of the whole meal kit product, that is, the first ingredient is wheat. In the case of an essential ingredient of the kit product, since the first ingredient of the one or more meal kit products cannot be excluded, the one or more meal kit products themselves may be excluded from recommendation.

In various embodiments, the computing device 100 makes a request to produce one or more meal kit products including the second ingredient when there is no second ingredient having a similarity with the attribute of the first ingredient that is equal to or greater than a reference value. You can create a request and provide it to multiple manufacturer servers. Through this, by encouraging manufacturers to release new products by reflecting these needs, it is possible to recommend and provide optimal meal kit products to users in the future.

In step S240 , the computing device 100 may determine whether ingredients and seasonings having a flavor not preferred by the user exist in the recommended milk kit product according to the analysis result of the recommended milk kit product performed in step S210 .

In step S250, when it is determined that there are ingredients and seasonings not preferred by the user in the recommended meal kit product through step S240, the computing device 100 selects ingredients and seasonings not preferred by the user. It can be substituted with other ingredients and seasonings that give the user's preferred taste. Here, the method of replacing the food material and seasoning performed by the computing device 100 may be implemented in the same or similar form as the method of replacing the food material and seasoning performed in step S230 .

In various embodiments, the computing device 100 may be configured as a recommendation target based on disease information including information about the user's underlying disease and information about the drug the user is taking, and pre-stored ingestible and inedible food data for each disease. When it is determined that the selected one or more meal kit products contain ingredients and seasonings that the user should refrain from eating, the ingredients and seasonings that the user should refrain from eating may be replaced with ingredients and seasonings that the user should consume.

For example, the computing device 100 may replace sugar included in one or more meal kit products with aspartame when the user has diabetes or needs to refrain from consuming sugar for weight control. In this case, the computing device 100 may replace all of the sugar included in one or more milk kit products with aspartame, or part of the sugar with aspartame, based on the information about the user.

In various embodiments, the computing device 100 may select a second ingredient to replace the first ingredient based on the recipe for the meal kit product. For example, when the meal kit product is food cooked by boiling, the computing device 100 selects one or more second ingredients suitable for a boiling recipe from among a plurality of second ingredients, and boils each of the selected one or more second ingredients. Depending on whether the nutritional component, taste and texture when the first ingredient is boiled is the same or similar to the nutritional ingredient, taste, and texture when the first ingredient is boiled, the second ingredient of any one of the one or more selected second ingredients can be selected as an alternative ingredient have.

Here, the operation (eg, steps S230 and S240) of replacing the ingredients and seasoning performed by the computing device 100 may be performed based on medical information (eg, information on Western medicine and information on oriental medicine), and in some cases, medical Advice from experts (eg doctors) may be utilized.

In addition, as information for determining the alternative food material, a database such as ingredient, calorie, and alternative food material information for each ingredient may be utilized. Here, information on alternative ingredients may be obtained based on characteristics according to nutrients or ingredients, and may be obtained based on advice from a culinary expert (eg, whether the same or similar taste can be obtained, etc.)

In addition, the computing device 100 may suggest alternative ingredients and seasonings that can replace taste and nutrition at the same time, based on a database on ingredients and flavors, even if they are not well known in the past.

That is, the computing device 100 selects an alternative food material and seasoning to replace the food material and seasoning in consideration of nutritional components, calories, etc. of the food material, and also considers medical information, thereby providing an optimal alternative food material and seasoning for the user. can be selected.

In various embodiments, the computing device 100 is a food ingredient that the user prefers and a food ingredient that the user should consume among a plurality of ingredients included in one or more meal kit products selected as a recommendation target or ingredients that the user does not prefer or should avoid. However, in consideration of food compatibility with the substituted ingredients, ingredients included in one or more meal kit products may be additionally substituted with other ingredients.

For example, if the first ingredient and the second ingredient are included in one or more meal kit products, but the first ingredient is a ingredient that the user does not prefer, the first ingredient may be replaced with a third ingredient that the user prefers . However, in some cases, the food compatibility between the third ingredient and the second ingredient already included in the meal kit product may not be good, so that good nutritional efficiency may not be achieved. In consideration of this, the computing device 100 selects a fourth ingredient having good food compatibility with the third ingredient from among a plurality of fourth ingredients that can be replaced with the second ingredient as the first ingredient is replaced with the third ingredient, 2 It can be substituted for food materials.

In various embodiments, the computing device 100 provides not only ingredients and seasonings not preferred by the user among ingredients and seasonings included in the recommended meal kit product, ingredients and seasonings having a flavor not preferred by the user, but also ingredients preferred by the user. And it may be implemented to be substituted with other ingredients and seasonings for seasonings and ingredients and seasonings that give a user's preferred taste.

That is, unlike the existing method of selectively replacing only one or two ingredients or one or two seasonings among a plurality of ingredients and seasonings included in one recipe, in the present invention, by opening the possibility of substituting all ingredients and seasonings, , the user can freely customize the ingredients and seasonings in a line that does not impair the taste of the meal kit product itself or the type of food.

In various embodiments, the computing device 100 may change a preset recipe in response to the ingredients and seasonings included in the meal kit product being replaced with other ingredients and seasonings through steps S210 to S240. For example, the computing device 100 may change a preset recipe according to the recipe of the second ingredient according to the change of the first ingredient to the second ingredient.

In various embodiments, the computing device 100 may automatically change the weight of each of a plurality of ingredients and seasonings included in one or more meal kit products selected as a recommendation target based on information about the user, and the plurality of ingredients and The recipe of one or more meal kit products may be changed in response to the weight of each of the seasonings being changed.

For example, when the user is currently on a diet, the computing device 100 may change the weight of each of a plurality of ingredients and seasonings included in the meal kit product according to a calorie value preset by the user. At this time, based on the weight range of each of the plurality of ingredients and seasonings (eg, a range set in advance by a cooking expert, etc.), the computing device 100 sets the plurality of products included in the meal kit product in a line in which the taste of the meal kit product does not change. You can change the weight of each ingredient and seasoning.

In addition, when the user is a child, the computing device 100 can reduce the weight of spicy food and seasoning among a plurality of ingredients and seasonings included in the meal kit product, and when the user prefers a low-sodium diet, the milk kit It is possible to reduce the weight of ingredients and seasonings with high salt among a plurality of ingredients and seasonings included in the product.

Here, the computing device 100 adjusts the weight of each of the plurality of ingredients and seasonings according to data derived through the research of the cooking expert, and adjusts the weights of each of the ingredients and seasonings to complement each other. weight can be adjusted. For example, simply replacing certain ingredients or adjusting the weight of certain seasonings (sauce, seasoning, etc.) can significantly change the taste of food, so certain ingredients and seasonings are substituted, or the weight of certain ingredients and seasonings is reduced. As it changes, it can be determined through research and advice from culinary experts, such as what proportions of weights of different ingredients and seasonings should be adjusted to complement each other. However, the present invention is not limited thereto, and may be automatically determined through a big data-based learned artificial intelligence model.

In various embodiments, the computing device 100 may subdivide into a plurality of meal kit products having different weights based on one pre-made meal kit product in consideration of information on a plurality of users, and It is possible to selectively provide any one meal kit product from among a plurality of meal kit products having different weights according to the information about the product. For example, the computing device 100 subdivides the first meal kit product including red pepper paste into five first meal kit products including red pepper paste of different weights, and sets the subdivided first meal kit product to the user. It can be selectively provided in consideration of the age, condition, and disease information of the person.

As described above, various information related to ingredients and seasonings, such as information on preferred ingredients and seasonings for each of a plurality of users, information on non-preferred ingredients and seasonings, and information on which ingredients and seasonings have been substituted for each ingredient and seasoning, are databased for each user. can be stored. Subsequently, the computing device 100 may automatically provide user-customized ingredients and seasonings based on information stored in a database for each user.

Referring back to FIG. 3 , in step S130 , the computing device 100 may provide information on one or more meal kit products selected based on information about the user as information on recommended meal kit products to the user. For example, the computing device 100 includes information about one or more meal kit products (eg, the name of the meal kit product, date of manufacture, expiration date, price, manufacturer, etc.), a plurality of ingredients included in the one or more meal kit products, and Information about each seasoning (eg, types of ingredients and seasonings, vendors of ingredients and seasonings (origin), weight, etc.) may be provided.

In various embodiments, the computing device 100 provides information on a vendor selling each of a plurality of ingredients included in one or more selected meal kit products, a sales page for other ingredients sold by the vendor, and an event hosted by the vendor. information can be provided. For example, the computing device 100, with respect to the agricultural products included in the meal kit product, information on the farm from which the agricultural products are harvested, a sales page for selling other agricultural products sold on the farm, and events (eg, farms) hosted by the farm You can provide information on experience activities, agricultural products-related events, and the payment process for applying and paying for the event).

That is, the computing device 100 transparently discloses information on vendors (eg, farms, ranches, fisheries, etc.) that sell each ingredient included in the meal kit product, thereby reducing distrust of ingredients that users may have. It has the advantage of being able to solve it.

In addition, by directly connecting the seller and the user who sell each ingredient included in the meal kit product, and receiving feedback (e.g., rating for the seller itself, reviews, etc.), the service and It has the advantage of making more efforts to control the quality of ingredients.

In addition, by directly connecting the user and the vendor that sells each ingredient included in the meal kit product, you can induce them to purchase other ingredients sold by the vendor that sells the ingredient or participate in events hosted by the vendor, Conversely, if the satisfaction with other ingredients sold by the vendor or the event hosted by the vendor is high, the interaction between the user and the vendor will be activated, such as inducing them to purchase a meal kit product containing ingredients sold by the vendor. There are advantages to being able to

In various embodiments, the computing device 100 provides information about one or more meal kit products selected based on information about the user as information on recommended meal kit products to the user, but different for one meal kit product When a plurality of meal kit products produced by manufacturers or different cooking experts (eg, cooks) exist, information on the plurality of meal kit products may be provided to the user together.

In this case, the computing device 100 may sequentially sort and provide information on a meal kit product sold by a user preferred by a user from among a plurality of meal kit products according to a manufacturer priority set by the user. Also, the computing device 100 may sequentially arrange and provide a meal kit product manufactured by a chef preferred by the user among a plurality of meal kit products according to a chef priority set by the user. However, the present invention is not limited thereto, and the computing device 100 may provide only one meal kit product sold by a user preferred brand among a plurality of meal kit products, or one meal kit product manufactured by a chef preferred by the user. can only provide

In step S140 , the computing device 100 may provide a purchase process for any one meal kit product selected by the user among the one or more meal kit products provided in step S130 .

Here, in the purchase process, the user selects a meal kit product he wants to purchase from among the one or more meal kit products provided in step S130, and makes detailed selections for the selected meal kit product (e.g., selection and change of each ingredient and seasoning) is selected, and may refer to a process of finally determining a meal kit product according to detailed options and proceeding with payment for the corresponding meal kit product or providing a sales and payment link provided by the manufacturer for payment. However, the present invention is not limited thereto.

In various embodiments, the computing device 100 may obtain a user input requesting to change any one ingredient among a plurality of ingredients included in any one meal kit product to another ingredient from the user, and the obtained user input It is possible to change one food ingredient to another ingredient accordingly. In this case, the computing device 100 determines if the other food material to be changed according to the user input is an unsuitable food material for the user (eg, aggravates the symptoms of an underlying disease the user has, reduces the efficacy of the drug the user is taking, or the user's In the case of ingredients that do not fit the state), the operation of changing one ingredient to another ingredient may not be performed. To this end, the computing device 100 may provide a list of a plurality of changeable ingredients and seasonings for each of the ingredients and seasonings included in any one meal kit product, and any one of the ingredients and seasonings included in the list. can be selected and replaced with specific ingredients and seasonings included in any one meal kit product.

In various embodiments, the computing device 100 may obtain a user input requesting to change a vendor for any one ingredient among a plurality of ingredients included in any one meal kit product from the user, and the acquired user input Accordingly, any one ingredient may be changed from the first ingredient provided by the first seller to the second ingredient provided by the second seller. For example, the computing device 100 according to a user input requesting to change the seller of garlic included in any one milk kit product from the first farm to the second farm, garlic included in any one milk kit product It can be changed to garlic sold at the second farm of

In various embodiments, the computing device 100 may obtain a user input requesting to include new ingredients in any one meal kit product from the user, and according to the obtained user input, a new meal kit product in any one meal kit product Food may be included. In this case, the computing device 100 may include the new food material in any one meal kit product only when the new food material corresponding to the user input does not cause a significant change in taste and nutritional components of the meal kit product. To this end, the computing device 100 may provide a list of ingredients and seasonings that can be newly added according to any one meal kit product, ingredients and seasonings included in any one meal kit product, and include Any one of ingredients and seasonings can be selected and included in any one meal kit product.

In this case, the computing device 100 may change any one ingredient that is changed according to the operation of changing one ingredient to another ingredient, the operation of changing the seller of any one ingredient from the first seller to the second supplier, and the operation of adding a new ingredient. The price of one meal kit product can be reflected in real time and provided to the user.

In various embodiments, the computing device 100 may receive a rating for any one meal kit product purchased through the purchase process from the user. Hereinafter, it will be described with reference to FIG.

5 is a flowchart of a method of determining a rating for a meal kit product, in various embodiments.

Referring to FIG. 5 , in step S310 , the computing device 100 selects a meal kit product recommended by the user (eg, a meal kit product purchased through a purchase process among one or more meal kit products selected based on information about the user). You can earn points (eg star points) for

In various embodiments, the computing device 100 may receive a score indicating a rating for the recommended meal kit product itself from the user.

In various embodiments, the computing device 100 may individually receive scores for each of a plurality of ingredients and seasonings included in the recommended meal kit product from the user.

In various embodiments, the computing device 100 may receive a score for a seller (eg, a farm, a fishery, etc.) of a plurality of ingredients and seasonings included in the recommended meal kit product from the user.

In various embodiments, the computing device 100 may receive, from the user, a brand of the recommended meal kit product and a score for a chef participating in the production of the recommended meal kit product. However, without being limited thereto, the score for the brand of the recommended meal kit product may be calculated based on the rating for a plurality of meal kit products sold by the brand without receiving a separate input from the user (eg, the average of the ratings) value). In addition, the score for the chef participating in the production of the recommended meal kit product may be calculated based on the ratings for the plurality of meal kit products the chef participated in, without receiving a separate input from the user (eg, the average value of the rating) .

In various embodiments, the computing device 100 may receive a review for each of the recommended milk kit products and a plurality of ingredients and seasonings included in the recommended milk kit products. For example, the computing device 100 may receive a review input in the form of an image and text from a user. However, the present invention is not limited thereto.

In step S320, the computing device 100 may determine a rating for the recommended meal kit product based on the score input from the user through step S310.

For example, when receiving a score indicating a rating for the recommended milk kit product itself from the user, the computing device 100 may determine the received score itself as a rating for the recommended milk kit product.

In addition, the computing device 100 provides a score for each of a plurality of ingredients and seasonings included in the meal kit product recommended by the user and a score for a vendor (eg, a farm, a fishery, etc.) (in some cases, a score for a brand and a chef) ) is individually input, by adding up the input scores, it is possible to calculate a rating for the recommended meal kit product.

In various embodiments, the computing device 100 analyzes a review in the form of an image and text input from a user (eg, text analysis through image analysis and OCR) to generate positive keywords and negative keywords. can be extracted, and the calculated and determined ratings can be corrected using the number of positive and negative keywords. However, the method of calculating the above rating is only one example, and is not limited thereto, and various methods for calculating and determining the rating for the meal kit product may be applied.

The above-described user-customized meal kit recommendation service providing method has been described with reference to the flowchart shown in the drawings. For simple explanation, the method for providing a user-customized meal kit recommendation service has been described by showing a series of blocks, but the present invention is not limited to the order of the blocks, and some blocks are performed in an order different from that shown and operated in this specification or may be performed simultaneously. In addition, new blocks not described in the present specification and drawings may be added, or some blocks may be deleted or changed. Hereinafter, with reference to FIGS. 6 and 7 , the computing device 100 responds to a request for providing a meal kit product received from a user, and provides a user-customized recipe or provides information on a user-customized meal kit product according to the user-customized recipe Let us explain the configuration.

6 is a diagram illustrating a process of providing user-customized recipe information in response to a user's request for providing a meal kit product, in various embodiments.

Referring to FIG. 6 , the computing device 100 may receive, from the user terminal 201 , a request for providing a meal kit product including a keyword related to at least one of ingredients, seasoning, and taste. For example, the computing device 100 may provide a UI for inputting keywords to the user terminal 201 , and obtain a user input in the form of a text sentence such as “Please recommend spicy food using chicken” through the UI. and extracts keywords related to at least one of ingredients, seasonings, and flavors from the text sentence. However, the present invention is not limited thereto.

Thereafter, the computing device 100 may provide the meal kit product provision request received from the user terminal 201 to the cooking expert terminal 202 . In this case, the computing device 100 may provide a request for providing a meal kit product to the cooking expert terminal 202 of a cooking expert previously designated by the user among the plurality of cooking experts. In this case, the computing device 100 may receive a plurality of cooking experts designated by the user and provide a request for providing a meal kit product to the plurality of cooking expert terminals 202 .

Thereafter, the computing device 100 receives a user-customized recipe corresponding to the request for providing a meal kit product from the cooking expert terminal 202 (or a plurality of cooking expert terminals 202 ) in response to providing the request for providing the meal kit product. can be provided

Thereafter, the computing device 100 may provide the user-customized recipe information provided from the cooking expert terminal 202 to the user who has transmitted the request for providing the meal kit product. In this case, when the user sends a request to provide a meal kit product to a plurality of cooking experts, the computing device 100 provides the user customized recipe information received from each of the plurality of cooking experts to the user, but based on a preset standard (eg, customized to the user). User-customized recipe information can be provided to users by arranging them according to the order in which the recipe information was provided in the earliest time, the order of highest rating for each of a plurality of culinary experts, the order of the highest degree of responsiveness to a request to provide a meal kit product, etc.) have.

In various embodiments, when there is no meal kit product corresponding to the user-customized recipe information provided from the cooking expert terminal 202 , the computing device 100 individually prepares each of the necessary ingredients and seasonings according to the user-customized recipe information. It is possible to provide a purchasing process that can be purchased or a purchasing process for purchasing necessary ingredients and seasonings in one package according to user-customized recipe information.

7 is a diagram illustrating a process of providing information on a meal kit product based on user-customized recipe information in response to a user's request for providing the meal kit product, in various embodiments.

Referring to FIG. 7 , the computing device 100 may receive a request for providing a meal kit product including a keyword related to at least one of ingredients, seasoning, and taste from the user terminal 201 . Here, the operation of receiving the request for providing the milk kit product performed by the computing device 100 may be implemented in the same or similar form as the operation of receiving the request for providing the meal kit product in FIG. 6 , but is not limited thereto.

Thereafter, the computing device 100 may provide the meal kit product provision request received from the user terminal 201 to the cooking expert terminal 202 . Here, the operation of providing the request for providing a meal kit product performed by the computing device 100 to the cooking expert terminal 202 is the same as the operation of providing the request for providing the meal kit product to the cooking expert terminal 202 in FIG. 6 or It may be implemented in a similar form, but is not limited thereto.

Thereafter, the computing device 100 receives a user-customized recipe corresponding to the request for providing a meal kit product from the cooking expert terminal 202 (or a plurality of cooking expert terminals 202 ) in response to providing the request for providing the meal kit product. can be provided Here, the operation of receiving the user-customized recipe performed by the computing device 100 may be implemented in the same or similar form as the operation of receiving the user-customized recipe in FIG. 6 , but is not limited thereto.

Thereafter, the computing device 100 may provide the user-customized recipe information received from the culinary expert terminal 202 to the external server 300 (eg, a manufacturer server of a meal kit product), and provides the user-customized recipe information. In response, information on a user-customized meal kit product corresponding to the user-customized recipe information may be provided from the external server 300 .

Here, the user-customized meal kit product may mean a meal kit product manufactured according to the user-customized recipe information by the manufacturer, but is not limited thereto, and a user provided from the cooking expert terminal 202 among a plurality of pre-made meal kit products. When a meal kit product corresponding to the customized recipe information exists, the corresponding meal kit product may be used as a user-customized meal kit product.

Thereafter, the computing device 100 may provide the user with information about the user-customized meal kit product provided from the external server 300 .

In various embodiments, the computing device 100 has attributes similar to those of the first user to the first user-customized recipe information generated in response to a request to provide a meal kit product input from the first user, and the wheat input by the first user. A recommendation may be provided to a plurality of second users who input the same or similar keywords as the kit product provision request.

Thereafter, the computing device 100 may receive feedback (eg, rating, review, etc.) for the first user-customized recipe information from the first user and a plurality of second users, and transmit the input feedback to the external server 300 . (manufacturer server) can be provided.

In other words, manufacturers can collect information on user reactions to specific recipes, and through this, they can accurately identify users' needs, reflect them in the process of launching new products, and launch new products that can satisfy the needs of a large number of users. There are advantages to being able to

In various embodiments, the computing device 100 may receive a recipe input from a user, provide the input recipe to the plurality of cooking expert terminals 202 , and evaluate the recipe input from the user. In this case, the recipe input by the user may be shared with a plurality of users who are not culinary experts.

Thereafter, the computing device 100 may collect an evaluation result for a recipe input by a user from the plurality of cooking expert terminals 202 , and may provide it to a manufacturer server. Through this, the manufacturer has the advantage of being able to collect ideas for menu improvement as well as individual characteristics by using recipes that have received high ratings from a plurality of culinary experts when developing new products.

At this time, when the manufacturer produces a new meal kit product based on a recipe that has received good evaluation from culinary experts, the computing device 100 provides a predetermined reward (eg, an incentive according to sales volume, recipe purchase cost for itself, points that can be used in a user-customized meal kit product recommendation service, etc.) can be provided.

In various embodiments, the computing device 100 may receive a bid to purchase a specific recipe from a plurality of manufacturers in an auction method, and according to a bid price, the computing device 100 may bid for the recipe to any one of the manufacturers according to the bid price, and the corresponding manufacturer Exclusive rights can be granted to produce and sell meal kit products based on the recipe. In this case, a reward may be provided to the user who has entered the recipe in the form of sharing a portion of the bid price or sharing the sales of a meal kit product produced and sold based on the recipe.

When this structure is activated, not only individual characteristics but also ideas for menu improvement can be collected, reflected in products, and a business model can be formed in which rewards are obtained when the sales of the product are good.

That is, the know-how or recipe that individuals have is shared with a large number of people by the platform provided by the computing device 100 , so that a plurality of people can enjoy food and taste through their own know-how or recipe. In addition, the person who has shared the know-how or recipe can have the meal kit product developed and sold based on the recipe that only the person, family, or mother has, and accordingly the person can conveniently enjoy their favorite food and taste. It has the advantage of being able to enjoy it.

In addition, by providing a platform that generates revenue using their own recipes, individuals or restaurant operators can meet the needs of commercializing food with their own know-how, as well as launching products with little risk through the platform and making profits. It has the advantage of being able to provide an ecosystem that promotes harmony.

As mentioned above, although embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains know that the present invention may be embodied in other specific forms without changing the technical spirit or essential features thereof. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

100: User-customized meal kit product recommendation service providing device (or computing device)
200: user terminal
300 : external server
400: network

Claims (10)

A method of providing a service for recommending a meal-kit product comprising ingredients and seasonings required for cooking and a recipe for the dish as one set, performed by a computing device, to a user,
collecting information about the user;
selecting one or more meal kit products from among a plurality of meal kit products based on the information about the user; and
Comprising the step of providing information on the selected one or more meal kit products to the user as information on recommended meal kit products,
A user-customized recipe and a method of providing a meal kit product using the same. According to claim 1,
The collecting step is
Collects preferred food information including information on the type of food preferred by the user, ingredients, seasoning and taste, and non-preferred food information including information on the type, ingredient, seasoning, and taste of food that the user does not prefer comprising the steps of
The selecting step is
Among the plurality of meal kit products, a meal kit product corresponding to a type of food not preferred by the user is filtered, and a food material corresponding to the type of food preferred by the user or preferred by the user from among the filtered meal kit products remaining and selecting one or more meal kit products containing seasoning or having a taste preferred by the user,
When the selected one or more meal kit products include ingredients and seasonings not preferred by the user, the user's unfavorable ingredients and seasonings included in the selected one or more meal kit products are used as ingredients and seasonings preferred by the user. replacing, and when the selected one or more meal kit products have a taste not preferred by the user, replacing the ingredients and seasonings having a taste not preferred by the user with food materials and seasonings having a taste preferred by the user; containing,
A user-customized recipe and a method of providing a meal kit product using the same. 3. The method of claim 2,
The replacing step is
When the selected one or more meal kit products include a first food material not preferred by the user, the attribute of the first food material - The attribute of the first food material includes a nutritional component, calorie, taste, texture and Including at least one of the recipes - selecting a second ingredient having a similarity with a reference value or more, and replacing the first ingredient included in the selected one or more meal kit products with the selected second ingredient,
The step of replacing the first food material with the selected second food material comprises:
determining whether the first ingredient may be excluded from the selected one or more meal kit products when there is no second ingredient having a similarity with the attribute of the first ingredient equal to or greater than the reference value; and
When it is determined that the first ingredient can be excluded, the first ingredient is excluded from the selected one or more meal kit products, and when it is determined that the first ingredient should not be excluded, the selected one or more meal kit products are recommended comprising the step of excluding from
A user-customized recipe and a method of providing a meal kit product using the same. 3. The method of claim 2,
The collecting step is
Further comprising the step of collecting disease information including information about the user's underlying disease and information about the drug the user is taking,
The replacing step is
Based on the user's underlying disease and the type of drug the user is taking, when it is determined that the selected one or more meal kit products contain ingredients and seasonings that the user should refrain from ingesting, ingestion by pre-stored disease Replacing the ingredients and seasonings that the user should refrain from eating with ingredients and seasonings that the user should consume based on possible and impossible food data,
A user-customized recipe and a method of providing a meal kit product using the same. According to claim 1,
The selecting step is
changing the weight of each of a plurality of ingredients and seasonings included in the selected one or more meal kit products, based on the information about the user; and
Comprising the step of changing the recipe of the selected one or more meal kit products in response to a change in the weight of each of the plurality of ingredients and seasonings,
A user-customized recipe and a method of providing a meal kit product using the same. According to claim 1,
The providing step is
Providing information on vendors selling each of the plurality of ingredients included in the selected one or more meal kit products, sales pages for other ingredients sold at the vendors, and information on events hosted by the vendors doing,
A user-customized recipe and a method of providing a meal kit product using the same. According to claim 1,
The method further comprising the step of providing a purchase process for any one meal kit product selected by the user among the selected one or more recommended meal kit products,
Providing the purchasing process comprises:
obtaining, from the user, a user input requesting to change a vendor for any one of a plurality of food ingredients included in the one meal kit product; and
According to the obtained user input, the any one of the ingredients is changed from the first ingredient provided by the first vendor to the second ingredient provided by the second vendor, and the any one of the ingredients is changed to the second ingredient comprising providing a payment process to pay for one meal kit product,
A user-customized recipe and a method of providing a meal kit product using the same. 8. The method of claim 7,
Further comprising the step of receiving a rating for any one meal kit product purchased through the purchase process from the user,
The step of receiving the rating is,
Either receive the rating for the one meal kit product itself, or individually input scores for a plurality of ingredients and seasonings included in the one meal kit product, and add up the individually input scores to select any one of the above Comprising the step of calculating the rating of the milk kit product,
A user-customized recipe and a method of providing a meal kit product using the same. According to claim 1,
receiving, from the user, a request for providing a meal kit product including a keyword related to at least one of ingredients, seasoning, and taste;
transmitting the received meal kit product provision request from the user to a pre-designated cooking expert, and receiving a user-customized recipe from the cooking expert in response to transmitting the collected meal kit product provision request;
providing the received user-customized recipe to the user; and
The received user-customized recipe is transmitted to the meal kit product manufacturer server, and information on the user-customized meal kit product corresponding to the user-customized recipe is transmitted from the meal kit product manufacturer server in response to the transmission of the received user customized recipe. The method further comprising the step of providing information about the provided user-customized meal kit product to the user,
A user-customized recipe and a method of providing a meal kit product using the same. processor;
network interface;
Memory; and
A computer program loaded into the memory and executed by the processor,
The computer program is
instructions for collecting information about the user;
instructions for selecting one or more meal kit products from among a plurality of meal kit products based on the information about the user; and
Including instructions for providing information on the selected one or more meal kit products to the user as information on recommended meal kit products,
A user-customized recipe and a meal kit product providing device using the same.

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