JP5908359B2 - Meal menu provision method - Google Patents

Description

  The present invention relates to a technique for simply providing a meal menu according to personal circumstances. In particular, the present invention relates to a method for providing a meal menu according to personal circumstances using functional information of ingredients and a program for realizing the function.

  Conventionally, the techniques described in Patent Documents 1 and 2 are known as methods for providing cooking recipes suited to personal circumstances. The technique described in Patent Document 1 categorizes subjects' dietary restrictions in order to enable the balance of nutrient intake of subjects and the intake of functional foods effective for obese subjects. It is a technology that searches and presents food charts and recipes. The technique described in Patent Document 2 provides a database of materials, recipes, dishes, and meal references prepared in advance to provide a user with a balanced and varied meal. In the database, these references are coded according to nutrition attributes, treatment attributes, budget attributes, target consumers, and the like.

JP 2009-140313 A Special table 2010-533912 gazette

However, the technique described in Patent Literature 1 requires the user himself / herself to input the intake amount of nutrients such as total energy, protein, and lipid prior to database search. However, it is difficult for general consumers other than nutrition and food experts to input such information. That is, the technique described in Patent Document 1 has a high knowledge barrier for general consumers to use. In the technique described in Patent Document 1, the criteria for determining the cooking recipe to be presented are limited to basic nutrients, and information on various physiological functions of the ingredients is not taken into consideration. For this reason, the examples (diabetes etc.) which can apply the technique of patent documents 1 were limited. Patent Document 1 does not provide a method for determining the validity of data related to physiological functionality.
The technique described in Patent Document 2 also has the same problem as Patent Document 1.

  Therefore, the present inventor can search and present a meal menu using ingredients having functional ingredients associated with the inputted health keyword by simply inputting the health keyword. Propose technology.

  ADVANTAGE OF THE INVENTION According to this invention, the meal menu which reflected the information of the functional component according to an individual's situation can be provided simply. Problems, configurations, and effects other than those described above will become apparent from the following description of embodiments.

The figure which shows the whole structure of the system which concerns on an Example. The figure which shows one Example of a nutrient database. The figure which shows one Example of a nutrition function database. The figure which shows one Example of an energy intake database. The figure which shows one Example of a nutrient intake database (vitamin C). The figure which shows one Example of a functional component database. The figure which shows one Example of the physiological function database. The figure which shows one Example of a scientific evidence database. The figure which shows one Example of a foodstuff database. The figure which shows one Example of a cooking recipe database. The figure which shows one Example of a health database. The figure which shows one Example of a meal advice database. The figure which shows one Example of a life stage definition database. The figure which shows one Example of an activity level definition database. The figure which shows one Example of a health category definition database. The figure which shows one Example of a health item definition database. The figure which shows one Example of a taste category definition database. The figure which shows one Example of a meal category definition database. The figure which shows one Example of a meal item definition database. The figure which shows one Example of an effectiveness category definition database. The figure which shows the prior art example of a cooking recipe search screen. The figure which shows one Example of a cooking recipe search screen. The figure which shows the prior art example of a cooking recipe search result screen. The figure which shows one Example of a cooking recipe search result screen. The figure which shows one Example of a life stage registration screen. The figure which shows the flowchart example of a recipe search. The flowchart explaining the process example which searches a cooking recipe by a health category. The flowchart explaining the example of a process which searches a cooking recipe by a meal category. The flowchart explaining the example of a process of a meal plan. The flowchart explaining the example of functionality evaluation model data registration processing. The flowchart explaining the registration process example of a cooking recipe.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. The embodiment of the present invention is not limited to the embodiments described later, and various modifications are possible within the scope of the technical idea.

[System configuration]
FIG. 1 shows an overall configuration of a computer system according to the present embodiment. The computer system includes a data group that is a set of databases, a storage device that stores programs, and a CPU that executes various programs. FIG. 1 shows data and programs stored in the storage device.

  In addition, input of instructions to the computer system and output of search results are executed through a user interface (not shown). The user interface is realized as a display device or an input device of a terminal device connected through a network, for example.

  In the case of the present embodiment, nutrition data 200, food functional data 600, food data 900, health data 1100, and personal data 1300 are stored as a data group.

  The nutrition data 200 includes a plurality of databases for providing cooking recipes based on data based on scientific grounds such as nutritional functions and physiological functions of ingredients. That is, the nutrition data 200 includes a nutrient database 201, a nutrition function database 301, an energy intake database 401, and a nutrient intake database 501.

  The food functional data 600 includes a functional component database 601, a physiological function database 701, a scientific basis database 801, and an effectiveness category definition database 2001.

  The food data 900 is composed of a database that holds food data. That is, the food material data 900 includes a food material database 901 and a cooking recipe database 1001.

  The health data 1100 includes a database for searching recipes from health keywords such as beauty, diet, and fatigue recovery. The health data 1100 includes a health database 1101, a meal advice database 1201, a health category definition database 1501, and a health item definition database 1601.

  The personal data 1300 is a database for retrieving recipes from the keywords of the physiological and psychological state of the individual who eats or presenting an optimal meal menu at each stage of the life stage such as birth, childbirth, and aging. Consists of. That is, the personal data 1300 includes a life stage definition database 1301, an activity level definition database 1401, a taste category definition database 1701, a meal category definition database 1801, and a meal item definition database 1901.

  The computer system in this embodiment has the following four programs. Recipe search program (FIG. 26) for easily searching for a recipe suited to individual circumstances, meal plan program (FIG. 27) for presenting an optimal meal menu at each stage of the life stage, and functionality of ingredients Functional evaluation model and data linkage program (Fig. 28) for evaluating the effectiveness from the latest research papers in research, and cooking recipe registration (Fig. 29) program for nutrition experts to register recipes and meal advice It is.

  Note that not all the databases shown in FIG. 1 are essential for realizing the invention described in this specification. Each database does not necessarily require all data items having a data structure described later. The type of database and data items required may be determined according to the service to be provided.

[Configuration of each database]
FIG. 2 shows an example of the nutrient database 201. 34 types of nutrients are stipulated in the “Japanese dietary intake standards” established by the Ministry of Health, Labor and Welfare (URL: http://www.mhlw.go.jp/shingi/2009/05/s0529-4.html) Yes. The combination (category, nutrient) assumed in this example is protein, lipid (lipid, saturated fatty acid, n-6 fatty acid, n-3 fatty acid, cholesterol), carbohydrate (carbohydrate, dietary fiber), fat-soluble vitamin. (Vitamins A, D, E, K), water-soluble vitamins (vitamins B1, B2, niacin, B6, B12, folic acid, pantothenic acid, biotin, C), a large amount of minerals (sodium, potassium, calcium, magnesium, phosphorus), Minor amounts of minerals (iron, zinc, copper, manganese, iodine, selenium, chromium, molybdenum).

  FIG. 3 shows an example of the nutrition function database 301. The nutritional function database 301 is stipulated by the Ministry of Health, Labor and Welfare's “Standards for Functional Nutritional Foods” (URL: http://www.mhlw.go.jp/topics/2002/03/tp0313-2c.html). Consists of upper and lower limits for the amount of nutrients contained in the daily intake guideline amount, nutrition function display, and alert display. This database stores information for safely ingesting nutrients.

  FIG. 4 shows an embodiment of the energy intake database 401. The above-mentioned “Japanese dietary intake standards” indicate the amount of energy required according to age, weight, and life stage. According to the standard, the estimated daily energy requirement is expressed by the following formula: basal metabolic rate (kcal / day) = basal metabolic standard value (kcal / kg body weight / day) x standard body weight (kg). Necessary amount (kcal / day) = Basal metabolic rate (kcal / day) x Expressed by the formula of physical activity level. The physical activity level is defined in the activity level definition database (FIG. 14).

  FIG. 5 shows an example of a nutrient intake database (vitamin C) 501. The above-mentioned “Japanese dietary intake criteria” shows the criteria for nutrient intake according to age, weight, and life stage. Nutrient intake database 501 aims to avoid insufficient intake, and defines three levels according to the risk of shortage: “estimated average required amount”, “recommended amount”, “reference amount”, excess It consists of an “tolerable upper limit” aimed at avoiding health problems caused by ingestion. Incidentally, these four quantities are defined for all 34 nutrients. The nutrient intake database 501 reflects all information on 34 types of nutrients.

  FIG. 6 shows an example of the functional component database 601. A functional ingredient is an ingredient held by foodstuffs that has a positive effect on human health, physical ability, and psychological state, and is innumerable. The “National Institute of Health and Nutrition” in Japan and “FDA (Food Drag Administration)” in the United States are leading the scientific elucidation of physiological effects. In the functional component database 601, all functional components that are currently known are listed. Information on functional components can be collected from any country or region, but may be collected only in a specific country or region.

  FIG. 7 shows an example of the physiological function database 701. The physiological function database 701 includes, for each functional component, (1) physiological function on the human body, (2) symptoms when the functional component is deficient, and (3) the physiological function of the functional component in the human body. (4) Safety of the physiological functions of functional ingredients in the human body, (5) Upper and lower limits of intake, (6) Information on functions presented to users, (7) Precautions regarding intake It is attached.

  FIG. 8 shows an example of the scientific evidence database 801. The scientific evidence database 801 collects and accumulates all research paper data in functional studies. Scientific evidence database 801 is used to track evidence such as (1) author, (2) title, (3) publication year, (4) journal name, (5) country, (6) edition, (7) page, etc. All information is stored.

  FIG. 9 shows an example of the food database 901. The food database 901 holds the health information of the food specified by the combination of the health category ID and the health item ID, and information on energy, moisture, nutrients, and functional components included in the food 100g. Here, the health category ID prescribes a theme with different interests for each individual, such as beauty, diet, and fatigue recovery. Each health category ID is classified into a plurality of health item IDs. The health item ID specifies more detailed targets such as whitening effect and detox. The health information is composed of health points that describe the health advantages of the ingredients, and eating information that describes the ingredients and eating information that does not impair the health function.

  Furthermore, the food material database 901 has sensory characteristic information composed of taste characteristic information including color, taste, fragrance, and touch, seasonal information, and the like so as to be associated with the foodstuff specified by the combination of the health category ID and the health item ID. It is desirable to retain information.

  As described above, the data items shown in FIG. 9 are examples, and the food database 901 includes all the information necessary for providing a cooking recipe suited to the personal circumstances among the characteristics of the food. .

  FIG. 10 shows an embodiment of the dish recipe database 1001. The cooking recipe database 1001 includes (1) a life stage ID used when providing an optimal meal menu at each stage of the life stage such as birth, childbirth, and aging, (2) a meal category ID, and (3) a meal item. Information is registered for a combination of ID information. Here, the meal category ID prescribes a theme of different interest depending on the individual such as meal time, meal place, season, and the like. Each meal category ID is classified into a plurality of meal item IDs. In other words, the meal item ID defines more detailed targets such as breakfast and lunch.

  In the cooking recipe database 1001, for the combination of three IDs, (1) cooking title, (2) ingredients, cooking method, photograph, cooking method for holding healthy functional ingredients of ingredients, (3) introducer, (4) Date is registered. Of course, the data items shown in FIG. 10 are merely examples, and the cooking recipe database 1001 includes all information necessary for providing recipes suited to individual circumstances.

  FIG. 11 shows an embodiment of the health database 1101. The health database 1101 is a database showing a correspondence relationship between health item IDs such as whitening effect and detox and functional components having health effects.

  FIG. 12 shows an example of the meal advice database 1201. The meal advice database 1201 associates information on meal advice by experts or the like with a combination of a health item ID such as a whitening effect or detox and a meal item ID indicating an external environment of a meal such as breakfast or lunch. It is a stored database. Meal advice information includes an advice ID, a title, and advice information.

  FIG. 13 shows an embodiment of the life stage definition database 1301. In the life stage definition database 1301, in addition to age and sex, life stage names such as early childhood immediately after birth, pregnancy / lactation period, and elderly period in which changes in dietary content are recognized are included in the life stage name.

  FIG. 14 shows an example of the activity level definition database 1401. The activity level definition database 1401 uses activity level name, gender, age, physical activity level I (low), physical activity level II (normal), and physical activity level III (high) as data items. The “Japanese dietary intake standard” defines three levels of physical activity levels: “low”, “normal”, and “high”. The higher the physical activity level, the higher the estimated energy requirement. In addition, a person with a special lifestyle such as a professional athlete basically has a high physical activity level.

  FIG. 15 shows an example of the health category definition database 1501. The health category definition database 1501 is prepared so that even a non-nutrition or food expert can easily find a cooking recipe according to personal circumstances with only the minimum necessary input items. The health category definition database 1501 is composed of the themes with different interests depending on the individual, such as beauty, diet, recovery from fatigue, and the like, and health categories and major categories of each health category.

  FIG. 16 shows an example of the health item definition database 1601. The health item definition database 1601 is a database in which the data item “health category” in FIG. 15 is detailed. In this embodiment, items that constitute health items such as whitening effect and detox are defined as items that detail beauty. Each health item is associated with a corresponding health category ID.

  FIG. 17 shows an embodiment of the taste category definition database 1701. The taste category definition database 1701 defines sweetness, sourness, salty taste, bitterness, and umami as taste types in order to represent taste characteristics related to the five senses when a person eats, such as the color, taste, fragrance, and touch of food. . In this embodiment, the taste is classified into three levels “00”, “01”, and “10”.

  FIG. 18 shows an embodiment of the meal category definition database 1801. The meal category definition database 1801 has different themes, such as meal time, meal place, season, and the like, so that the recipe can be searched from the external environment for eating and the physiological and psychological state of the eating person. It consists of meal categories and major classifications for each meal category.

  FIG. 19 shows an embodiment of the meal item definition database 1901. The meal item definition database 1901 is a database in which the meal categories in FIG. 18 are detailed. In this embodiment, meal items such as breakfast and lunch are defined as detailed meal times. In addition, barbecue is stipulated as a refinement of meal locations. The same applies to other meal categories.

  FIG. 20 shows an example of the effectiveness category definition database 2001. The effectiveness category definition database 2001 classifies the reliability of research papers and the position of research in the research on the functionality of food ingredients into a plurality of stages so that non-experts can easily determine the reliability of data. . In this example, the effectiveness value is defined in five stages, “S”, “A”, “B”, “C”, and “D”, according to the scientific basis in experimental research and epidemiological research. Yes. Note that all or part of the classification may be given as a result of filtering by a computer.

[Cooking recipe search screen example]
Below, the example of a user interface screen displayed on the display screen of the terminal device which a user uses is demonstrated. The screen is provided through a recipe search program (FIG. 1) of the computer system.

  FIG. 21 shows a screen example of a cooking recipe search screen 2101 used in the conventional system. The cooking recipe search screen 2101 shown in FIG. 21 uses a search screen when searching for a recipe using keywords such as vegetables and meat and when searching for a recipe using keywords such as the type of cooking. It is common to do.

  FIG. 22 shows a screen example of a cooking recipe search screen 2201 provided through the recipe search program (FIG. 1) according to the present embodiment. The cooking recipe search screen 2201 has various search screens as compared to the conventional system. For example, the cooking recipe search screen 2201 includes a search screen 2202 used when searching for a recipe from health keywords, a meal category (for example, an external environment for eating, a physiological and psychological state of an individual eating) A search screen 2203 used when searching for a recipe from the above keywords and a search screen 2204 used when searching for an optimal meal menu corresponding to each stage of the life stage such as birth, childbirth, and aging are prepared. Has been. By using these search screens, people who need to consider meal content (that is, those who are not specialized) can easily enter and select search characters based on their knowledge and interests. it can.

  FIG. 23 shows a screen example of the search result screen 2301 in the conventional system. The search result screen 2301 is also displayed when a keyword is entered in the “search character” field located in the upper part of the cooking recipe search screen 2201 according to the present embodiment. As shown in FIG. 23, the search result screen 2301 displays general items such as titles, cooking photos, ingredients, cooking methods, cooking points, and the like.

  FIG. 24 shows a screen example of the dish recipe search result screen 2401 provided through the recipe search program (FIG. 1) according to the present embodiment. In the case of the present embodiment, in addition to the display screen 2402 similar to the conventional system, a screen 2403 for explaining the superiority of health and a screen 2404 for showing information on health / nutrition guidance are displayed together. In the case of a present Example, the content of the functional component of the foodstuff contained in a recipe is displayed on the screen 2403. FIG. In addition, information related to nutrition and health by experts such as meal advice related to health keywords and meal advice at each stage of the life stage is provided on the screen 2404 in a form other than the recipe. Such display is possible because various information is registered in association with the functionality information.

[Life Stage Registration Screen Example]
FIG. 25 shows an example of the life stage registration screen 2501. The life stage registration screen is provided through a life stage registration program (not shown). A functionality evaluation model / data registration program in the computer system shown in FIG. 1 may be used. Using the life stage registration screen 2501, the user can register data representing personal characteristics such as age, sex, height, weight, blood pressure, and the like in the database.

  These values are necessary when calculating the proper energy and nutrient intakes according to the user. In addition, register medical history, medication history, and supplemental data. These values are necessary for the recipe search that considers the eating that does not impair the health function of the ingredients. In addition, register life stages such as birth, birth, and aging. This value is necessary when correcting the value of an individual's basal metabolic rate and calculating the proper energy and nutrient intake for that person in order to determine the physical activity level.

  Although not described in this specification, a user interface corresponding to the cooking recipe registration program is also prepared. The execution result of the meal planning program is displayed as a graph or the like constituting a screen 2404 showing information on ingredients / mealing that does not impair the health function.

[Recipe search processing procedure]
FIG. 26 shows a processing procedure executed through the recipe search program according to the present embodiment. In the following, a computer as an execution subject will be described as a subject.

  First, the computer displays a cooking recipe search screen 2201 illustrated in FIG. 22 on the display screen of the terminal device operated by the user. Here, the computer determines the search mode selected by the user, and executes a search process according to the determination result. In the case of FIG. 26, the computer first determines whether or not a normal recipe search (search for a recipe by inputting a search character) is selected (step 2601). In the case of a normal recipe search, the computer searches the cooking recipe database 1001 using keywords and displays the cooking recipe search result (FIG. 23) (step 2602).

  If it is determined in step 2601 that other than the normal recipe search is selected, the computer determines whether or not the recipe search is based on the health category (individual health categories such as beauty and whitening effects) (step 2603). ). In the case of the recipe search from the health category, the computer searches for the related functional component based on the health category, further searches the cooking recipe database 1001 (FIG. 10) with the ingredients containing the searched functional component, A cooking recipe search result screen 2401 as shown in FIG. 24 is displayed (step 2604). At this time, health and nutrition guidance is displayed as necessary. Detailed processing operations will be described later.

  If it is determined in step 2603 that other than the recipe search from the health category is selected, the computer determines whether the recipe search is from the meal category (meal time, breakfast, etc.) (step 2605). In the case of the recipe search from the meal category, the computer searches the dish recipe database 1001 (FIG. 10) based on the meal category, and displays the dish recipe search result screen 2401 as shown in FIG. 24 (step 2606). At this time, health and nutrition guidance is displayed as necessary. Detailed processing operations will be described later.

If it is determined in step 2605 that a search other than recipe search from the meal category has been selected, the computer determines whether the search is from the life stage (step 2607). In the case of recipe search from the life stage, the computer searches the dish recipe database 1001 (FIG. 10) based on the information about the life stage, and displays a dish recipe search result screen 2401 as shown in FIG. 24 (step 2608). ).
In other cases, the computer ends the process without displaying the search result.

  Hereinafter, details of the processing operations executed in step 2604, step 2606, and step 2608 will be described in detail with reference to FIGS. 26-1, 26-2, and 27. FIG.

(1) Details of Search Process Based on Health Category FIG. 26-1 shows the details of the processing operation when searching for a recipe based on the health category. That is, a case where a health category is input through the search screen 2202 in the cooking recipe search screen 2201 will be described. Here, the operation of the computer will be described assuming that “whitening effect” is clicked on the search screen 2202.

  If the “whitening effect” is clicked through the search screen 2202 (step 2611), the computer searches the health item “whitening effect” in the health item definition database 1601 and extracts the health item ID (HI0001) (step 261). 2612).

  Next, the computer searches the health database 1101 using the health item ID (HI0001) extracted in the previous step, and functional component IDs such as FI0311 (savonine) and FI0591 (tannin) related to the “whitening effect”. Is acquired (step 2613).

  Similarly, the computer searches the meal advice database 1201 by the health item ID (HI0001) and acquires meal advice information related to the “whitening effect” (step 2614).

  Next, the computer searches the food material database 901 using the functional component ID (FI0311 (saponin), FI0591 (tannin), etc.) acquired in step 2613, and the food material ID (F00231) related to the “whitening effect”. ), Nutrients, functional ingredients, sensory characteristics, and health information are acquired (step 2615).

  Next, the computer searches the cooking recipe database 1001 using the ingredient ID (F00231) acquired in step 2615, and acquires the cooking title, cooking method, introducer, and date (step 2616). Here, of course, the searched dish title and the like are related to the search keyword “whitening effect”.

  Finally, the computer combines the meal advice information, nutrients, functional ingredients, sensory characteristics, health information, cooking title, cooking method, introducer, and date acquired in each step to constitute a cooking recipe search result screen 2401. Is displayed on the user interface screen (step 2617).

(2) Details of Search Process Based on Meal Category FIG. 26-2 shows details of the processing operation when searching for a recipe based on the meal category. That is, a case where a meal category is input through the search screen 2203 in the cooking recipe search screen 2201 will be described. Here, the operation of the computer will be described on the assumption that “breakfast” is clicked on the search screen 2203.

  When “breakfast” is clicked through the search screen 2203 (step 2621), the computer searches the meal item definition database 1901 for the meal item “breakfast” and extracts the meal item ID (MI0001) (step 2622). .

  Next, the computer searches the meal advice database 1201 using the meal item ID (MI0001) extracted in the previous step, and acquires meal advice information related to “breakfast” (step 2623).

  Similarly, the computer searches the dish recipe database 1001 by the meal item ID (MI0001), and acquires the dish title, cooking method, introducer, and date (step 2624). Here, the searched dish titles and the like are of course related to the search keyword “breakfast”.

  Finally, the computer combines the meal advice information, the cooking title, the cooking method, the introducer, and the date acquired in each step to constitute a cooking recipe search result screen 2401 and displays it on the user interface screen (step 2625).

(3) Details of Search Process Based on Life Stage Next, details of the search process based on the life stage will be described. When searching for recipes from the life stage through the search screen 2204 in the cooking recipe search screen 2201, two stages of processing procedures are required: registration of the life stage and creation of a meal plan according to the life stage. FIG. 27 shows a flowchart of a meal plan executed by the computer.

  First, the computer determines whether or not the life stage registration button has been pressed on the search screen 2204 (step 2701). When the button is pressed, the computer registers the personal life stage in accordance with the input form on the life stage registration screen 2501 shown in FIG. 25 (step 2702). After registration, the computer again determines whether or not the button has been pressed.

  If it is determined in step 2701 that the life stage registration button has not been pressed, the computer determines whether or not the meal plan creation button has been pressed (step 2703).

  When the meal plan creation button is pressed, the computer sequentially executes a meal intake calculation process (step 2704), a meal plan creation process (step 2705), and a recipe display process (step 2706) to execute the meal plan. provide.

  In the process of calculating the amount of meal intake, the computer collates personal life stage data with a life stage definition database and an activity level definition database. Thereafter, the computer calculates the intake amount of energy / nutrient appropriate for the life stage based on the nutrient database 201, the nutrient function database 301, the energy intake database 401, and the nutrient intake database 501.

  In the next meal plan creation process, the computer collates the intake amount of energy / nutrient calculated in step 2704 with the food material database 901 and the cooking recipe database 1001 to search for a cooking recipe containing appropriate energy / nutrient.

  In the next display process, the computer filters the cooking recipe searched in step 2705 according to the health category and the meal category as necessary, and displays information on the meal plan that combines the filtering result and the cooking recipe.

[Registration procedure of functionality evaluation model data]
FIG. 28 illustrates an example of a procedure for registering the functionality evaluation model data according to the embodiment. The registration of the effectiveness (scientific basis, etc.) in the physiological function database shown in FIG. 7 is performed by the computer (1) a process of collecting data sources such as academic papers of functional research via the network (step 2801), This is realized by sequentially executing (2) a process of performing primary filtering on collected papers (step 2802) and (3) a process of analyzing the effectiveness regarding the functionality of ingredients by a nutrition specialist (step 2803).

  In step 2801, the computer collects food functional research papers (including everything from experimental research, epidemiological research, etc.) from any information source and executes a process of registering in the scientific evidence database 801.

  In step 2802, the computer searches the collected data set of papers using keywords such as paper titles and animal experiments (with or without human tests), and performs data refinement (primary filtering) and evaluation of effectiveness. To do. By narrowing down this data, it is possible to simplify the procedure for nutrition experts to finally determine the effectiveness, and to efficiently digitize a huge number of research data.

  In step 2803, the computer determines the effectiveness of the functional study according to the effectiveness category definition database 2001 based on the first filtered article, and registers it in the physiological function database. Here, nutrition experts and the like determine the effectiveness, but the computer may determine the effectiveness of a paper or the like based on a predetermined rule.

[Cooking recipe registration procedure]
FIG. 29 shows an example of a cooking recipe registration procedure. The cooking recipe and meal advice are registered using the same input form as the cooking recipe search result screen 2401 shown in FIG. The change to the edit mode is instructed to the computer by the user or dietitian through the input device. The computer that has accepted the change to the edit mode registers cooking recipe data and meal advice data (step 2901). Thereafter, the computer updates the dish recipe database and the meal advice database based on the input data (step 2902).

[Effect of Example]
As described above, by adopting the cooking recipe providing technology according to the present embodiment, the user can use nutrition keywords and physiological functions related to the keywords while using health keywords such as beauty, diet, and fatigue recovery. It is possible to easily search for a cooking recipe using the ingredients. In particular, foods having nutritional functions and physiological functions are expected to have direct effects on various personal health problems, so that it is possible to search for food selection and cooking recipes from a scientific viewpoint.

  Similarly, the user can search for cooking recipes according to the external environment in which the meal is taken and the keywords of the individual's physiological and psychological states. In addition, the user can search for an optimal meal menu at each stage of the life stage such as birth, childbirth, and aging. As described above, by adopting the cooking recipe providing technology according to the present embodiment, it is possible to easily search for a recipe suitable for individual circumstances.

  In addition, the cooking recipe provision technology according to the present embodiment not only simply collects and accumulates the latest research papers based on the research on the functionality of ingredients, but also targets the title and humanity for the reliability of the papers and the positioning of the research. Primary filtering is used depending on the presence or absence of clinical trials. Therefore, the reliability of the paper can be classified into a plurality of stages, and the amount of work for judging the validity of data by an expert can be reduced.

[Other examples]
The present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and it is not necessary to provide all the configurations described. Further, another configuration may be added to the form example, a part of the form example may be deleted, or a part of the form example may be replaced with another structure.

  Moreover, you may implement | achieve some or all of each structure, a function, a process part, a process means, etc. which were mentioned above as an integrated circuit or other hardware, for example. Information such as programs, tables, and files for realizing each function can be stored in a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), or a storage medium such as an IC card, an SD card, or a DVD.

  Control lines and information lines indicate what is considered necessary for the description, and do not represent all control lines and information lines necessary for the product. In practice, it can be considered that almost all components are connected to each other.

  DESCRIPTION OF SYMBOLS 201 ... Nutrient database, 301 ... Nutrient function database, 401 ... Energy intake database, 501 ... Nutrient intake database, 601 ... Functional ingredient database, 701 ... Physiological function database, 801 ... Scientific basis database, 901 ... Food database , 1001 ... Cooking recipe database, 1101 ... Health database, 1201 ... Meal advice database, 1301 ... Life stage definition database, 1401 ... Activity level definition database, 1501 ... Health category definition database, 1601 ... Health item definition database, 1701 ... Taste category Definition database, 1801 ... Meal category definition database, 1901 ... Meal item definition database, 2001 ... Efficacy category definition data Over the nest.

Claims (2)

In the method of searching for meal menus according to personal circumstances from the database and providing them through the user interface,
Through a first user interface in which a computer includes, as a display item, a health category that defines a theme with different interests depending on an individual, and a health item that is an individual segment of the health category, a first keyword on health is obtained. Processing to accept,
A process in which a computer acquires information on a functional component related to the first keyword from a first database;
A process in which the computer searches the second database for a meal menu using ingredients related to the information on the acquired functional ingredient;
A meal menu providing method comprising: a computer providing a searched meal menu to a user through a second user interface. In the method of searching for meal menus according to personal circumstances from the database and providing them through the user interface,
Through a first user interface in which a computer includes, as display items, a meal category that defines a theme of different interest according to an individual, and a meal item obtained by subdividing the meal category, the first keyword for health is selected. Processing to accept,
A process in which a computer acquires information on a functional component related to the first keyword from a first database;
A process in which the computer searches the second database for a meal menu using ingredients related to the information on the acquired functional ingredient;
A process in which the computer provides the retrieved meal menu to the user through the second user interface;
A process in which the computer receives, as the second keyword, information related to an external environment for eating and / or information related to an individual's physiological and psychological state through the first user interface;
A process in which the computer searches the second database for a meal menu related to the second keyword;
A meal menu providing method comprising: a computer providing a searched meal menu to a user through the second user interface.

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