CN114036386A - Diet recommendation method, electronic device and storage medium - Google Patents
Diet recommendation method, electronic device and storage medium Download PDFInfo
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- CN114036386A CN114036386A CN202111349876.3A CN202111349876A CN114036386A CN 114036386 A CN114036386 A CN 114036386A CN 202111349876 A CN202111349876 A CN 202111349876A CN 114036386 A CN114036386 A CN 114036386A
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- 235000005911 diet Nutrition 0.000 title claims abstract description 50
- 230000037213 diet Effects 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 35
- 235000016709 nutrition Nutrition 0.000 claims abstract description 13
- 230000035764 nutrition Effects 0.000 claims abstract description 12
- 235000013305 food Nutrition 0.000 claims abstract description 11
- 230000036541 health Effects 0.000 abstract description 5
- 235000015277 pork Nutrition 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 235000013372 meat Nutrition 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 235000014347 soups Nutrition 0.000 description 3
- 241000512259 Ascophyllum nodosum Species 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 235000003715 nutritional status Nutrition 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 235000018648 unbalanced nutrition Nutrition 0.000 description 2
- 235000003563 vegetarian diet Nutrition 0.000 description 2
- 235000000832 Ayote Nutrition 0.000 description 1
- 235000009854 Cucurbita moschata Nutrition 0.000 description 1
- 240000001980 Cucurbita pepo Species 0.000 description 1
- 235000009804 Cucurbita pepo subsp pepo Nutrition 0.000 description 1
- 244000000626 Daucus carota Species 0.000 description 1
- 235000002767 Daucus carota Nutrition 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 235000009811 Momordica charantia Nutrition 0.000 description 1
- 208000008589 Obesity Diseases 0.000 description 1
- 244000046052 Phaseolus vulgaris Species 0.000 description 1
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 1
- 235000009337 Spinacia oleracea Nutrition 0.000 description 1
- 244000300264 Spinacia oleracea Species 0.000 description 1
- 244000078912 Trichosanthes cucumerina Species 0.000 description 1
- 235000008322 Trichosanthes cucumerina Nutrition 0.000 description 1
- 230000037208 balanced nutrition Effects 0.000 description 1
- 235000019046 balanced nutrition Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 235000020785 dietary preference Nutrition 0.000 description 1
- 235000020803 food preference Nutrition 0.000 description 1
- 235000012027 fruit salads Nutrition 0.000 description 1
- 235000021384 green leafy vegetables Nutrition 0.000 description 1
- 235000020824 obesity Nutrition 0.000 description 1
- 235000021395 porridge Nutrition 0.000 description 1
- 235000015136 pumpkin Nutrition 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 229940088594 vitamin Drugs 0.000 description 1
- 229930003231 vitamin Natural products 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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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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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Nutrition Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application discloses a diet recommendation method, an electronic device and a storage medium. Wherein the method comprises the following steps: acquiring personal information of a user; acquiring take-out order information of a user; and recommending diet information according to the personal information of the user and the takeout order information of the user. The method can solve the problem that in the prior art, users often repeatedly select the same favorite food when ordering and taking out by using a mobile phone, so that nutrition imbalance is caused and body health is affected, and user experience is improved.
Description
Technical Field
The invention relates to the technical field of mobile terminals, in particular to a diet recommendation method, electronic equipment and a storage medium.
Background
With the development of intelligent terminal technology, the traditional life style is changed, mobile phone point take-out has become a more and more popular life habit, but due to individual dietary preference, excessive food preference can cause the harm of unbalanced dietary nutrition, for example, some young people eat fried food for a long time, and do not take vitamins to be taken, so that the health of the young people can be in a problem, or some vegetarian people do not take enough protein for a long time, so that the body of the young people is weak.
Therefore, a diet with balanced nutrition is recommended to a user according to take-out order information and personal information of the user, the problem that in the prior art, the user frequently and repeatedly selects the same kind of favorite food when taking out the food on the spot by using a mobile phone, so that the nutrition imbalance affects the body health is solved, and the user experience is improved.
Disclosure of Invention
The invention mainly aims to provide a diet recommendation method, electronic equipment and a storage medium, so as to solve the problem that in the prior art, a user frequently and repeatedly selects the same favorite food when ordering for takeout by using a mobile phone, so that unbalanced nutrition affects body health, and improve user experience.
In a first aspect, the present invention provides a diet recommendation method, comprising:
acquiring personal information of a user;
acquiring take-out order information of a user;
and recommending diet information according to the personal information of the user and the takeout order information of the user.
Optionally, the step of obtaining the user takeaway order information includes:
and acquiring the user take-out order information from the take-out APP.
Optionally, the user personal information includes: gender, weight, age and height.
Optionally, the takeaway order information includes: take-out food product information and take-out order frequency information.
Optionally, the step of recommending the diet information according to the user personal information and the user takeout order information includes:
calculating according to the personal information of the user to obtain the nutrition state of the user;
and recommending diet information according to the nutrition state of the user.
Optionally, the step of recommending the diet information according to the user personal information and the user takeout order information includes:
calculating the nutrition intake of the user according to the user take-out order information;
recommending diet information according to the nutrition intake of the user.
Optionally, the step of recommending the diet information according to the user personal information and the user takeout order information includes:
recommending diet information according to the historical diet recommendation record.
Optionally, the step of recommending the diet information according to the user personal information and the user takeout order information includes:
and recommending diet information according to a preset diet map.
According to a second aspect of embodiments of the present invention, there is provided an electronic device comprising a memory and a processor, the memory storing one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the diet recommendation method of any one of the first aspect above.
According to a third aspect of embodiments of the present invention, there is provided a storage medium in which a program is stored, the program being executed by a computer to implement the diet recommendation method according to any one of the first aspect described above.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
according to the method and the device, the diet information is recommended according to the personal information of the user and the takeaway order information of the user, so that the problem that the body health is affected due to unbalanced nutrition caused by repeated selection of the same kind of favorite food frequently when the user uses a mobile phone to take away the food in the prior art is solved, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained based on these drawings without inventive labor.
Fig. 1 is a schematic flowchart of a diet recommendation method according to an embodiment of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the accompanying drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments of the present invention and the features of the embodiments can be combined with each other without conflict, and the formed technical solutions are within the scope of the present invention.
Example one
As shown in fig. 1, an embodiment of the present invention provides a diet recommendation method, including the following steps S101 to S103:
step S101: and acquiring personal information of the user.
Personal information of the user is input by the user, including personal information of the user's sex, age, height, weight, etc., which is used to calculate the user's nutritional status, such as being too thin or too thick.
Step S102: and acquiring the take-out order information of the user.
By collecting the order information of the user in the takeout APP, takeout order information of the user is obtained, for example, takeout information eaten by the user, such as meat, leaf vegetables, fungi or bean products, and the like, and the frequency of taking out by the user is obtained through statistics, for example, the frequency is counted by time dimensions such as days, weeks and months, or the frequency is counted by time dimensions such as weekdays and weekends, so that for example, the user takes out 12 times at 1 week, takes out 8 times within 1 week, or takes out 30 times within 1 month.
Step S103: and recommending diet information according to the personal information of the user and the takeout order information of the user.
Calculating the current nutritional status of the user according to the sex, age, height and weight information input by the user, for example, the personal information of the user is: when the user is 25 years old, male is 173mm high and 170 jin of weight, the user can be considered to be too obese, and because the numerical values of the user exceed the obesity threshold value after comprehensive calculation, the user should be recommended to the user to eat a vegetarian diet, such as fruit salad, stir-fried spinach and the like. And (3) counting the nutrition intake of the user according to the collected user takeaway foods, for example, if the collected dishes of the user's recent takeaway order are meats such as braised pork, pot-wrapped pork and steamed pork, the user can be considered to have too much meat food recently eaten and too much protein, and then the user is recommended to have a vegetarian diet. Meanwhile, the user can be recommended with diet in combination with historical diet recommendation records of the user, for example, if the user is found to be obese and has too many spicy dishes with excessive internal heat according to information input by the user and recently sold dishes, dishes with the effect of clearing and supplementing internal heat, such as bitter gourd, kelp soup and the like, are recommended, but after the historical diet recommendation records are combined, if the user is found to recommend kelp soup for many times, the user is switched to recommend pumpkin porridge, the user is prevented from being recommended with the same dish for many times, and user experience is improved. Meanwhile, the diet information can be recommended according to a preset diet map, for example, if the user is found to be too thin and the recent diet is too light according to the information input by the user and the types of products sold at the latest, more nutritional dishes are recommended, and dishes such as braised pork and carrot pork bone soup are searched and obtained from the preset diet map and recommended to the user.
Example two
Embodiments of the present invention provide an electronic device, which may be a mobile phone, a tablet computer, etc., and includes a memory and a processor, where the memory is used for storing one or more computer instructions, and the one or more computer instructions, when executed by the processor, implement the diet recommendation method in the above embodiments.
Wherein the processor is configured to perform all or part of the steps of the diet recommendation method as in embodiment one. The memory is used to store various types of data such as user personal information and the like.
The Processor may be an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to perform the diet recommendation method in the first embodiment.
The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
EXAMPLE III
Each functional unit in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program check codes, such as a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that, in the present disclosure, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present disclosure are described above, the above description is only for the convenience of understanding the present disclosure, and is not intended to limit the present disclosure. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (10)
1. A method for recommending a diet, characterized in that,
acquiring personal information of a user;
acquiring take-out order information of a user;
and recommending diet information according to the personal information of the user and the takeout order information of the user.
2. The method of claim 1, wherein the step of obtaining the customer takeaway order information comprises:
and acquiring the user take-out order information from the take-out APP.
3. The method of claim 1, wherein the user profile comprises: gender, weight, age and height.
4. The method of claim 1, wherein the take-away order information comprises: take-out food product information and take-out order frequency information.
5. The method of claim 1, wherein the step of recommending diet information according to the user personal information and the user takeaway order information comprises:
calculating according to the personal information of the user to obtain the nutrition state of the user;
and recommending diet information according to the nutrition state of the user.
6. The method of claim 1, wherein the step of recommending diet information according to the user personal information and the user takeaway order information comprises:
calculating the nutrition intake of the user according to the user take-out order information;
recommending diet information according to the nutrition intake of the user.
7. The method of claim 1, wherein the step of recommending diet information according to the user personal information and the user takeaway order information comprises:
recommending diet information according to the historical diet recommendation record.
8. The method of claim 1, wherein the step of recommending diet information according to the user personal information and the user takeaway order information comprises:
and recommending diet information according to a preset diet map.
9. An electronic device comprising a memory and a processor, the memory configured to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the diet recommendation method of any one of claims 1-8.
10. A computer-readable storage medium, in which a program is stored, characterized in that the program, when being executed by a computer, implements the diet recommendation method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111349876.3A CN114036386A (en) | 2021-11-15 | 2021-11-15 | Diet recommendation method, electronic device and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111349876.3A CN114036386A (en) | 2021-11-15 | 2021-11-15 | Diet recommendation method, electronic device and storage medium |
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| CN114036386A true CN114036386A (en) | 2022-02-11 |
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| CN202111349876.3A Pending CN114036386A (en) | 2021-11-15 | 2021-11-15 | Diet recommendation method, electronic device and storage medium |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109559798A (en) * | 2018-11-30 | 2019-04-02 | 北京远大前程数据科技有限公司 | A kind of healthy diet big data management system |
| CN110349647A (en) * | 2019-05-24 | 2019-10-18 | 平安科技（深圳）有限公司 | Dietary management method, system, electronic equipment and storage medium |
| CN110363682A (en) * | 2019-06-13 | 2019-10-22 | 深圳市科拜斯物联网科技有限公司 | A kind of automatic nutrient diet method and device |
| CN111028918A (en) * | 2019-12-25 | 2020-04-17 | 珠海格力电器股份有限公司 | Menu recommendation method and device, storage medium and kitchen appliance |
| CN111402996A (en) * | 2020-03-19 | 2020-07-10 | 珠海格力电器股份有限公司 | Diet recipe recommendation method and system and storage medium |
| CN111508585A (en) * | 2020-04-24 | 2020-08-07 | 珠海格力电器股份有限公司 | Diet recommendation method, device, storage medium and system |
-
2021
- 2021-11-15 CN CN202111349876.3A patent/CN114036386A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109559798A (en) * | 2018-11-30 | 2019-04-02 | 北京远大前程数据科技有限公司 | A kind of healthy diet big data management system |
| CN110349647A (en) * | 2019-05-24 | 2019-10-18 | 平安科技（深圳）有限公司 | Dietary management method, system, electronic equipment and storage medium |
| CN110363682A (en) * | 2019-06-13 | 2019-10-22 | 深圳市科拜斯物联网科技有限公司 | A kind of automatic nutrient diet method and device |
| CN111028918A (en) * | 2019-12-25 | 2020-04-17 | 珠海格力电器股份有限公司 | Menu recommendation method and device, storage medium and kitchen appliance |
| CN111402996A (en) * | 2020-03-19 | 2020-07-10 | 珠海格力电器股份有限公司 | Diet recipe recommendation method and system and storage medium |
| CN111508585A (en) * | 2020-04-24 | 2020-08-07 | 珠海格力电器股份有限公司 | Diet recommendation method, device, storage medium and system |
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