CN111081348B - Method and device for executing nutrition brain engine - Google Patents
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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Abstract
The invention provides a method and a device for executing a nutrition brain engine, which relate to the technical field of balanced diet, can acquire human body index information of each user in a plurality of users who have meals together, and determine the required intake elements of the human body of each user and the intake range corresponding to the intake elements; obtaining the food material major category required every day, and determining the food material to be screened and the food consumption range of each person; the edible amount of the edible materials required by each user is determined according to the required element ingestion of the human body of each user, the corresponding ingestion amount range, the element content of the unit weight of the edible materials to be screened and the edible amount range thereof, so that the problems that the edible materials are wasted, the nutrition ingestion is difficult to meet when multiple people eat simultaneously in the prior art are solved, and the beneficial effect that the nutrition requirement of each person can be met when the multiple people eat simultaneously is realized.
Description
Technical Field
The invention relates to the technical field of balanced diet, in particular to a nutrition brain engine execution method and device for nutrition data processing of multiple people.
Background
With the acceleration of the pace of life and the improvement of the living standard, the growing of eating habits such as takeaway, restaurants and the like is increasingly relied on, so that a plurality of eating safety and physical health problems are caused. The more common the conditions of various diseases such as obesity, sub-health and the like caused by unreasonable diet are, the more important is the management of diet nutrition.
Current nutrition management typically customizes personalized recipes based on the concept of balanced diet, or formulates a single nutrition plan for the health status, eating habits, etc. of an individual. However, the existing nutrition plans are usually specified aiming at personal conditions, and when the dining scene is a family or a party, the nutrition requirements of all people for dining cannot be met in a targeted manner when multiple people simultaneously eat the meal; in addition, nutrition programs for individuals often involve a variety of food materials in order to satisfy nutrition balance, which can be wasted when one eats. Therefore, the existing nutrition management method has the problems that food materials are wasted, and the nutrition intake of simultaneous dining of multiple people is difficult to meet.
Disclosure of Invention
In view of the above, the present invention aims to provide a method and a device for executing a nutrition brain engine, which are used for processing nutrition data of multiple people, so as to solve the problems of wasting food materials and being difficult to satisfy nutrition intake of multiple people when having meals simultaneously in the prior art.
In order to achieve the above object, the technical scheme adopted by the embodiment of the invention is as follows:
in a first aspect, an embodiment of the present invention provides a nutritional brain engine execution method, including: acquiring human body index information of each user in a plurality of users who have meals together; determining the required intake elements of the human body of each user and the intake range corresponding to the intake elements according to the human body index information of each user;
Acquiring the food material major categories required every day, and determining food materials to be screened and the food material range of each person of the food materials to be screened according to the food material major categories required every day, the predetermined preference of each user and the food material food amount range of each food material major category corresponding to the energy required by each user;
determining the eating amount of the food material required by each user according to the element required by the human body of each user, the corresponding intake amount range of the element, the element content of the unit weight of the food material to be screened and the eating amount range of the food material to be screened.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, and the method further includes: determining a diet record of each user in advance; and predicting the user preference of the next day according to the diet records of each user.
With reference to the first aspect, the embodiment of the present invention provides a second possible implementation manner of the first aspect, and the method further includes: and determining the required intake elements of the human body of each user, the intake range corresponding to the intake elements and the required energy according to the human body index information of each user, and determining the food materials and the food materials required every day.
With reference to the first aspect, the embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of determining the eating amount of the food material required by each user includes: and splitting meal according to the food consumption required by each user and the predefined meal rules so as to generate the food and the consumption of each meal of each user.
With reference to the third possible implementation manner of the first aspect, the embodiment of the present invention provides a fourth possible implementation manner of the first aspect, and the step of determining the eating amount of the food material required by each user further includes: and displaying the food materials and the consumption of each meal of each user according to the user.
In a second aspect, an embodiment of the present application provides a nutritional brain engine execution apparatus, including: the first acquisition module is used for acquiring human body index information of each user in the plurality of users who have dinner together; determining the required intake elements of the human body of each user and the intake range corresponding to the intake elements according to the human body index information of each user;
The second acquisition module is used for acquiring each food material major category required every day, and determining food materials to be screened and each person's food amount range of the food materials to be screened according to each food material major category required every day, each user preference determined in advance and the food material food amount range of each food material major category corresponding to energy required by each user;
The first determining module is used for determining the eating amount of the food material required by each user according to the element required by the human body of each user, the corresponding intake range of the element, the element content of the unit weight of the food material to be screened and the eating amount range of the food material to be screened.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the apparatus further includes: a recording module for predetermining a diet record for each user; and the prediction module is used for predicting and obtaining the user preference of the next day according to the diet records of each user.
With reference to the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the apparatus further includes: and the second determining module is used for determining the required intake elements of the human body of each user, the intake range corresponding to the intake elements and the required energy according to the human body index information of each user, and determining the food material major category required every day.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory; the memory has stored thereon a computer program which, when executed by the processor, performs the method of the first aspect described above.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of the first aspect.
The embodiment of the application has the following beneficial effects:
The method and the device for executing the nutrition brain engine can acquire the human body index information of each user in a plurality of users who have meals together, and determine the required intake elements of the human body of each user and the intake range corresponding to the intake elements; obtaining the food material major category required every day, and determining the food material to be screened and the food consumption range of each person; according to the element content and the eating amount range of the element content of the unit weight of the edible materials to be screened according to the element content and the corresponding eating amount range of the element content required by the human body of each user, the eating amount of the edible materials required by each user is determined, the problems that the edible materials are wasted, the nutrition intake is difficult to meet when a plurality of people eat simultaneously in the prior art are solved, and the beneficial effect that the personalized nutrition requirement of each person is met when the plurality of people eat simultaneously is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for executing a nutrition brain engine according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for executing a nutrition brain engine according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a nutritional brain engine execution device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Common nutrition management generally customizes personalized recipes through the concept of balanced diet, or formulates a single nutrition plan for the health condition, dietary habits, and the like of an individual. However, the existing nutrition plans are usually specified aiming at personal conditions, and when the dining scene is a family or a party, the nutrition requirements of all people for dining cannot be met in a targeted manner when multiple people simultaneously eat the meal; in addition, nutrition programs for individuals often involve a variety of food materials in order to satisfy nutrition balance, which can be wasted when one eats. Therefore, the existing nutrition management method has the problems that food materials are wasted, and the nutrition intake of simultaneous dining of multiple people is difficult to meet.
Based on the above, the method and the device for executing the nutrition brain engine provided by the embodiment of the application are used for processing nutrition data of multiple people, and can solve the problems that in the prior art, food materials are wasted and nutrition intake is difficult to meet when multiple people eat simultaneously. First, a detailed description will be given of a method for executing a nutrition brain engine according to an embodiment of the present application, referring to fig. 1, the method may be executed by an electronic device, and mainly includes the following steps S110 to S130:
S110, acquiring human body index information of each user in a plurality of users who have meals together; and determining the required intake elements of the human body of each user and the intake range corresponding to the intake elements according to the human body index information of each user.
The human index information refers to personalized information for representing health status, diet, demand, etc. of a human body, and may include physiological information (e.g., body temperature, heart rate, pulse, blood sugar, etc.), case information (e.g., diabetes, coronary heart disease, obesity, etc.), demand information (e.g., water intake demand, medication demand, etc.), diet records, etc. the human index information is used to represent information including, but not limited to, health status, diet, demand, etc.
The elements required for human body are elements which meet the nutritional requirements of human body through food intake, and comprise carbohydrate, fat, protein, vitamin E, vitamin C, dietary fiber, calcium, magnesium, iron and the like. Each nutrient element has the intake range, and excessive intake or too low intake can influence normal physiological functions of human bodies.
S120, obtaining the food material major categories required every day, and determining the food materials to be screened and the food material range of each person of the food materials to be screened according to the food material major categories required every day, the predetermined preference of each user and the food material food amount range of each food material major category corresponding to the energy required by each user.
In some embodiments, obtaining each food item category required daily includes: and determining the required intake elements of the human body of each user, the intake range corresponding to the intake elements and the required energy according to the human body index information of each user, and determining the food materials of the large class required every day.
The food material major categories are used to represent classifications of food materials, and may include eggs, vegetables, fruits, grains, etc., and the energy and nutritional components provided by different food material major categories are different. For example, vegetable and fruit foods generally contain a large amount of vitamin C, dietary fiber, vitamin a, etc.; meat food materials are rich in proteins, fats and the like. The range of the food materials is further determined by selecting among the large categories of food materials according to the required energy and the user's preference.
In some embodiments, before determining the food material to be screened and the range of food material to be screened per person, the method further comprises the steps of:
a, pre-determining diet records of each user;
and b, predicting and obtaining the preference of the user on the next day according to the diet records of each user.
Specifically, the diet information of each user is recorded in advance, which may be a record of the number of meals, the time of the meals, the food material information of each meal, etc. of the user in the past period of time; predicting favorite food materials of the user on the next day according to the diet records, and using the prediction result for determining food materials to be screened.
S130, determining the eating amount of the food material required by each user according to the element required by the human body of each user, the intake range corresponding to the element, the element content of the unit weight of the food material to be screened and the eating amount range of the food material to be screened.
In some embodiments, the step of determining the consumption of food material required by each user comprises:
and c, splitting meal according to the food consumption required by each user and a predefined meal rule to generate the food and the consumption of each meal of each user.
Specifically, the predefined dining rules may be to obtain the food materials and the dosage (i.e. the nutrition plan) of 1 day, 2 days, 3 days and 7 days in the future for each user according to the above method, and split the meal according to the food material large-scale collocation and caloric value proportion requirements of breakfast, lunch, afternoon snack, dinner.
In some embodiments, the step of determining the consumption of food material required by each user further comprises:
And d, displaying the food materials and the dosage of each meal of each user according to the users.
Specifically, according to the disassembly result in the step c, when a plurality of people eat together, the same food materials are displayed to the user according to different eating amount proportions, so that the nutrition scheme can be implemented under the scene of eating by the plurality of people.
According to the method provided by the embodiment of the application, the nutritional elements required to be ingested are determined according to the human body index information of each user, the food materials to be screened which can provide the nutritional elements are determined, and the consumption of the food materials required by each user is determined by combining the ingestion range required by the user, so that the problem of serious waste of the food materials caused by the purpose of acquiring comprehensive nutritional elements in a nutrition plan of a person is solved, and the beneficial effect that personalized nutritional requirements of each person can be met when a plurality of persons take meals together is realized.
The above steps are described in detail below in connection with specific examples.
The embodiment of the invention provides a complete implementation mode shown in fig. 2, taking three users for dining together as an example, the basic information of the users is shown in the following table:
S201, determining the selection of food materials;
S202, determining the nutrient content of the extracted food material per unit weight; (nutrient content per 100g of food material).
S203, determining a recommended food material intake range according to basic information of a user, and acquiring a recommended nutrition intake and an error range;
s204, calculating the total intake amount of each intake element of each person;
S205, training the ingestion amount of food materials to be screened of multiple people simultaneously by using machine learning to be within a recommended ingestion amount range, wherein the actual ingestion amount of each ingestion element reaches the recommended ingestion amount range;
S206, stopping training when the intake of food materials to be screened of each person is in a recommended intake range and the actual intake of each intake element reaches the recommended intake range;
S207, determining food materials to be screened and the intake of the food materials to be screened of each person, and taking the food materials to be screened as a final nutrition plan;
s208, calculating the total eating amount of each food material of each person;
s209, disassembling the meal according to the food material large-class collocation and caloric value proportion requirements of breakfast, lunch at noon, lunch at afternoon and dinner;
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S210, according to the disassembly result, displaying different eating amounts of the same food materials of a plurality of people to a user in a single meal in proportion.
Specifically, in S205, the actual intake of each intake element of the multiple people is trained to reach the recommended intake range simultaneously through machine learning, when the element intake of the food to be screened of at least one person of the multiple people having meals does not reach the intake range, the step of determining the food to be screened according to the intake element and the food major nutrition collocation rule and the food predicted to be favored by the user is re-executed, other food to be screened is selected from the preset recipe and the food major nutrition collocation rule again, wherein the food to be screened does not include the food to be screened for the first time, when the element intake of the food to be screened of each person of the multiple people is obtained to reach the intake range, the food to be screened is determined to be a nutrition plan by calculating the skip, or when the circulation number reaches the preset threshold, the step of determining the food to be screened according to the intake element and the food major nutrition rule and the food predicted to be favored by the user is calculated and is re-executed.
The embodiment of the application also provides a nutrition brain engine executing device shown in fig. 3, which comprises the following modules:
A first obtaining module 310, configured to obtain human body index information of each of a plurality of users who have a meal together; determining the required intake elements of the human body of each user and the intake range corresponding to the intake elements according to the human body index information of each user;
the second obtaining module 320 is configured to obtain each major category of food materials required daily, and determine food materials to be screened and each person's food usage range of the food materials to be screened according to each major category of food materials required daily, each user preference determined in advance, and the food usage range of each major category of food materials corresponding to energy required by each user;
The first determining module 330 is configured to determine the eating amount of the food material required by each user according to the required intake element of the human body of each user, the intake range corresponding to the intake element, the element content of the unit weight of the food material to be screened, and the eating amount range of the food material to be screened.
In some embodiments, the apparatus further comprises: a recording module for predetermining a diet record for each user; and the prediction module is used for predicting and obtaining the user preference of the next day according to the diet record of each user.
In some embodiments, the apparatus further comprises: and the second determining module is used for determining the required intake elements of the human body of each user, the intake range corresponding to the intake elements and the required energy according to the human body index information of each user, and determining the food materials of the required daily.
The nutritional brain engine executing device provided by the embodiment of the application can be specific hardware on equipment or software or firmware installed on the equipment and the like. The implementation principle and the produced technical effects of the nutritional brain engine execution device provided by the embodiment of the application are the same as those of the embodiment of the nutritional brain engine execution method, and for the sake of brief description, the corresponding contents in the embodiment of the method can be referred to for the parts of the embodiment of the device which are not mentioned. It will be clear to those skilled in the art that, for convenience and brevity, the specific operation of the system, apparatus and unit described above may refer to the corresponding process in the above method embodiment, which is not described in detail herein.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the embodiments described above.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 4000 includes: a processor 400, a memory 401, a bus 402 and a communication interface 403, the processor 400, the communication interface 403 and the memory 401 being connected by the bus 402; the processor 400 is arranged to execute executable modules, such as computer programs, stored in the memory 401.
The memory 401 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is implemented via at least one communication interface 403 (which may be wired or wireless), which may use the internet, a wide area network, a local network, a metropolitan area network, etc.
Bus 402 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 4, but not only one bus or type of bus.
The memory 401 is configured to store a program, and the processor 400 executes the program after receiving an execution instruction, and a method executed by the apparatus for defining a flow disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 400 or implemented by the processor 400.
The processor 400 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 400 or by instructions in the form of software. The processor 400 may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (Network Processor, abbreviated as NP), etc.; but may also be a digital signal processor (DIGITAL SIGNAL Processing, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 401, and the processor 400 reads the information in the memory 401, and in combination with its hardware, performs the steps of the above method.
The embodiment of the application also provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program executes the steps of the nutrition brain engine execution method when being executed by a processor, and the specific implementation can be found in the foregoing method embodiment and will not be repeated here.
It should be noted that: like reference numerals and letters in the following figures denote like items, and thus once an item is defined in one figure, no further definition or explanation of it is required in the following figures, and furthermore, the terms "first," "second," "third," etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above examples are only specific embodiments of the present application, and are not intended to limit the scope of the present application, but it should be understood by those skilled in the art that the present application is not limited thereto, and that the present application is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit of the corresponding technical solutions. Are intended to be encompassed within the scope of the present application.
Claims (8)
1. A method of nutritional brain engine execution, comprising:
Acquiring human body index information of each user in a plurality of users who have meals together; determining the required intake elements of the human body of each user and the intake range corresponding to the intake elements according to the human body index information of each user;
Acquiring the food material major categories required every day, and determining food materials to be screened and the food material range of each person of the food materials to be screened according to the food material major categories required every day, the predetermined preference of each user and the food material food amount range of each food material major category corresponding to the energy required by each user;
Determining the eating amount of the food material required by each user according to the element required by the human body of each user, the corresponding intake amount range of the element, the element content of the unit weight of the food material to be screened and the eating amount range of each person of the food material to be screened;
the step of determining the consumption of the food material required by each user comprises the following steps:
Training the ingestion amount of food materials to be screened of a plurality of people in a recommended ingestion amount range by utilizing machine learning at the same time, wherein the actual ingestion amount of each ingestion element reaches the recommended ingestion amount range; stopping training when the intake of food materials to be screened of each person is in a recommended intake range and the actual intake of each intake element reaches the recommended intake range; determining food materials to be screened and the intake of the food materials to be screened of each person, and taking the food materials to be screened as a final nutrition plan;
Splitting meal according to the food consumption required by each user and a predefined meal rule to generate food materials and consumption of each meal of each user; the predefined dining rules are: the food materials and the dosage of each user obtained in advance in the future of 1 day, 2 days, 3 days and 7 days are disassembled according to the food material major collocation and the caloric value proportion requirements of breakfast, morning snack, lunch, afternoon snack and dinner;
according to the dining disassembly result, when a plurality of people take meals together, the same food materials are displayed to the users according to different eating amount proportions, so that the nutrition scheme can be implemented under the scene of the dining of the plurality of people.
2. The method as recited in claim 1, further comprising:
Determining a diet record of each user in advance;
and predicting the user preference of the next day according to the diet records of each user.
3. The method as recited in claim 1, further comprising:
And determining the required intake elements of the human body of each user, the intake range corresponding to the intake elements and the required energy according to the human body index information of each user, and determining the food materials and the food materials required every day.
4. A nutritional brain engine execution device, comprising:
The first acquisition module is used for acquiring human body index information of each user in the plurality of users who have dinner together; determining the required intake elements of the human body of each user and the intake range corresponding to the intake elements according to the human body index information of each user;
The second acquisition module is used for acquiring each food material major category required every day, and determining food materials to be screened and each person's food amount range of the food materials to be screened according to each food material major category required every day, each user preference determined in advance and the food material food amount range of each food material major category corresponding to energy required by each user;
The first determining module is used for determining the eating amount of the food material required by each user according to the element required by the human body of each user, the corresponding intake range of the element, the element content of the unit weight of the food material to be screened and the eating amount range of each person of the food material to be screened;
The first determining module is further configured to: training the ingestion amount of food materials to be screened of a plurality of people in a recommended ingestion amount range by utilizing machine learning at the same time, wherein the actual ingestion amount of each ingestion element reaches the recommended ingestion amount range; stopping training when the intake of food materials to be screened of each person is in a recommended intake range and the actual intake of each intake element reaches the recommended intake range; determining food materials to be screened and the intake of the food materials to be screened of each person, and taking the food materials to be screened as a final nutrition plan;
The first determining module is further configured to: splitting meal according to the food consumption required by each user and a predefined meal rule to generate food materials and consumption of each meal of each user; the predefined dining rules are: the food materials and the dosage of each user obtained in advance in the future of 1 day, 2 days, 3 days and 7 days are disassembled according to the food material major collocation and the caloric value proportion requirements of breakfast, morning snack, lunch, afternoon snack and dinner;
according to the dining disassembly result, when a plurality of people take meals together, the same food materials are displayed to the users according to different eating amount proportions, so that the nutrition scheme can be implemented under the scene of the dining of the plurality of people.
5. The apparatus as recited in claim 4, further comprising:
a recording module for predetermining a diet record for each user;
And the prediction module is used for predicting and obtaining the user preference of the next day according to the diet records of each user.
6. The apparatus as recited in claim 4, further comprising:
And the second determining module is used for determining the required intake elements of the human body of each user, the intake range corresponding to the intake elements and the required energy according to the human body index information of each user, and determining the food material major category required every day.
7. An electronic device comprising a processor and a memory;
The memory has stored thereon a computer program which, when executed by the processor, performs the method of any of claims 1 to 3.
8. A computer readable storage medium storing machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of any one of claims 1 to 3.
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| CN109785935A (en) * | 2019-02-18 | 2019-05-21 | 三七二二(北京)健康咨询有限公司 | Nutrition recommended engine executes method and device |
| CN110097945A (en) * | 2018-01-31 | 2019-08-06 | 浙江苏泊尔家电制造有限公司 | Control method, server, cooking apparatus and the cooking system of culinary art |
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| CN110097945A (en) * | 2018-01-31 | 2019-08-06 | 浙江苏泊尔家电制造有限公司 | Control method, server, cooking apparatus and the cooking system of culinary art |
| CN109300524A (en) * | 2018-09-29 | 2019-02-01 | 深圳春沐源控股有限公司 | Information recommendation method and device |
| CN109461491A (en) * | 2018-11-01 | 2019-03-12 | 广州仁生健康科技有限公司 | A kind of intelligent nutrition catering system and method for family health care management |
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