CN114066559A - A system and method for recommending food ordering for takeout based on dietary goals - Google Patents
A system and method for recommending food ordering for takeout based on dietary goals Download PDFInfo
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- CN114066559A CN114066559A CN202111263724.1A CN202111263724A CN114066559A CN 114066559 A CN114066559 A CN 114066559A CN 202111263724 A CN202111263724 A CN 202111263724A CN 114066559 A CN114066559 A CN 114066559A
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- 235000013305 food Nutrition 0.000 title claims abstract description 65
- 235000005911 diet Nutrition 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 10
- 230000000378 dietary effect Effects 0.000 title claims description 3
- 235000021049 nutrient content Nutrition 0.000 claims abstract description 29
- 230000037213 diet Effects 0.000 claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 235000012054 meals Nutrition 0.000 claims abstract description 15
- 235000016709 nutrition Nutrition 0.000 claims abstract description 14
- 230000035764 nutrition Effects 0.000 claims abstract description 12
- 210000000577 adipose tissue Anatomy 0.000 claims description 4
- 230000002452 interceptive effect Effects 0.000 claims description 4
- 210000003205 muscle Anatomy 0.000 claims description 4
- 238000007493 shaping process Methods 0.000 claims description 4
- 230000009467 reduction Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000012216 screening Methods 0.000 abstract description 3
- 235000012149 noodles Nutrition 0.000 description 5
- 235000015278 beef Nutrition 0.000 description 4
- 235000013372 meat Nutrition 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 235000013601 eggs Nutrition 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 235000013194 Lyophyllum decastes Nutrition 0.000 description 1
- 240000005856 Lyophyllum decastes Species 0.000 description 1
- 150000001720 carbohydrates Chemical class 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 235000020997 lean meat Nutrition 0.000 description 1
- 239000008267 milk Substances 0.000 description 1
- 235000013336 milk Nutrition 0.000 description 1
- 210000004080 milk Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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Abstract
The invention discloses a takeaway ordering recommendation system and method based on a diet target, wherein the system comprises the following steps: the food nutrition content detection system comprises a user information setting module, a food information input module, a food nutrition content detection module and a control module; the user information setting module is used for acquiring the personal body index information and the user target of the user; the meal information input module is used for inputting meal information of a merchant of the ordering platform; the food nutrient content detection module is used for estimating the nutrient content of each component of the food according to the food information; and the control module is used for acquiring the ordering demand information of the user and comprehensively recommending corresponding shops and food according to the ordering demand, the user target, the nutrient content of each component of the food and the nutrient content statistics of the recent food taken by the user. The invention has the beneficial effects that: the problem of daily diet recommendation of users is effectively solved through nutrition content statistics and shop screening, and the users can drink food efficiently and nutritionally.
Description
Technical Field
The invention relates to the field of ordering systems, in particular to a takeaway ordering recommendation system and method based on a diet target.
Background
How to eat and eat correctly is a problem that everyone turns on the ordering software every time. The current ordering software only recommends meals with great discount today, and the preferentially recommended meals are also obtained according to the previous ordering data, and whether the nutrition taken by the user is balanced or not and whether the meals are healthy or not are not considered.
Disclosure of Invention
In order to solve the technical problems, the invention provides a takeaway ordering recommendation system and method based on diet target, the system comprises: the food nutrition content detection system comprises a user information setting module, a food information input module, a food nutrition content detection module and a control module;
the user information setting module is used for acquiring the personal body index information and the user target of the user;
the meal information input module is used for inputting meal information of a merchant of the ordering platform;
the food nutrient content detection module is used for estimating the nutrient content of each component of the food according to the food information;
and the control module is used for acquiring the ordering demand information of the user and comprehensively recommending corresponding shops and food according to the ordering demand, the user target, the nutrient content of each component of the food and the nutrient content statistics of the recent food taken by the user.
Further, the takeaway ordering recommendation system based on diet target further comprises: a real-time diet reminding module; the real-time diet reminding module is used for acquiring the nutrient content of food in the food ordering shopping cart of the user in real time and carrying out popup reminding in real time.
Furthermore, the real-time diet reminding module also carries out pop-up window reminding on the meals interfering with the user target.
A takeaway ordering recommendation method based on a diet target is applied to a takeaway ordering recommendation system based on the diet target and comprises the following steps:
s1: the user sets the current personal information through the user information setting module, including: height, weight, body fat rate, age and three-dimensional information;
s2: the user further sets a user target through a user information setting module; the user goals include: fat reduction, muscle enhancement and body shaping;
s3: the system obtains the nutrient content statistics of the recent eating of the user through a food information input module, a food nutrient content detection module and a recent order of the user;
s4: and the system comprehensively recommends corresponding shops and food through the control module when the user makes a new order.
The beneficial effects provided by the invention are as follows: the problem of daily diet recommendation of users is effectively solved through nutrition content statistics and shop screening, and the users can drink food efficiently and nutritionally.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a structural diagram of the system of the present invention; a takeaway ordering recommendation system based on dietary objectives, comprising: the food nutrition content detection system comprises a user information setting module, a food information input module, a food nutrition content detection module and a control module;
the user information setting module is used for acquiring the personal body index information and the user target of the user;
the meal information input module is used for inputting meal information of a merchant of the ordering platform;
the food nutrient content detection module is used for estimating the nutrient content of each component of the food according to the food information;
and the control module is used for acquiring the ordering demand information of the user and comprehensively recommending corresponding shops and food according to the ordering demand, the user target, the nutrient content of each component of the food and the nutrient content statistics of the recent food taken by the user.
The takeaway ordering recommendation system based on diet target further comprises: a real-time diet reminding module; the real-time diet reminding module is used for acquiring the nutrient content of food in the food ordering shopping cart of the user in real time and carrying out popup reminding in real time.
The real-time diet reminding module is also used for carrying out pop-up window reminding on the meals interfering with the user target.
A takeaway ordering recommendation method based on a diet target is applied to a takeaway ordering recommendation system based on the diet target and comprises the following steps:
s1: the user sets the current personal information through the user information setting module, including: height, weight, body fat rate, age and three-dimensional information;
s2: the user further sets a user target through a user information setting module; the user goals include: fat reduction, muscle enhancement and body shaping;
as an embodiment, in a fat-reducing scene, a reminding window pops up when a user buys high-calorie food such as fried chicken; in a muscle increasing scene, foods with high protein content such as meat, eggs and milk can be recommended to a user; in the shaping scenario, the overall nutritional balance of the user is more considered.
S3: the system obtains the nutrient content statistics of the recent eating of the user through a food information input module, a food nutrient content detection module and a recent order of the user;
s4: and the system comprehensively recommends corresponding shops and food through the control module when the user makes a new order.
As a specific example, the present invention is exemplified as follows:
the first user is male, 21 years old, 177cm in height, 82Kg in weight, 28% in body fat percentage and the user aims at reducing fat;
the statistics of the nutrient content recently eaten by the user, which are obtained by the food information entry module, the food nutrient content detection module and the recent order of the user, are that the average daily protein is 211.5g, the fat is 72g and the carbohydrate is 341.5 g;
in the new order, the ordered foods are beef noodles (100 g of beef and 700g of noodles) and small crisp meat (100 g of small crisp meat); the predetermined diet has a nutritional content of 20.2g +59.5 g-79.7 g protein, 2.3g +11.2 g-13.5 g fat, 1.2g +416.5g carbohydrate-417.7 g;
combining the statistical information of the scheduled food, the target of the scheduled food, the nutrient content of the scheduled food and the nutrient content of the recently eaten food, the control module finally recommends that the meal ordering information is: beef noodles (beef 100g, noodle 300g), lean meat/eggs 150g, vegetables (optional) 150g, and fruits (optional); in addition, the real-time diet reminding module also carries out pop-up window reminding on the small crisp meat and the large noodle of the food interfering the target of the user.
The invention has the beneficial effects that: the problem of daily diet recommendation of users is effectively solved through nutrition content statistics and shop screening, and the users can drink food efficiently and nutritionally.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (4)
1. A takeaway ordering recommendation system based on dietary objectives, comprising: the method comprises the following steps: the food nutrition content detection system comprises a user information setting module, a food information input module, a food nutrition content detection module and a control module;
the user information setting module is used for acquiring the personal body index information and the user target of the user;
the meal information input module is used for inputting meal information of a merchant of the ordering platform;
the food nutrient content detection module is used for estimating the nutrient content of each component of the food according to the food information;
and the control module is used for acquiring the ordering demand information of the user and comprehensively recommending corresponding shops and food according to the ordering demand, the user target, the nutrient content of each component of the food and the nutrient content statistics of the recent food taken by the user.
2. A diet goal-based takeaway ordering recommendation system as claimed in claim 1 wherein: further comprising: a real-time diet reminding module; the real-time diet reminding module is used for acquiring the nutrient content of food in the food ordering shopping cart of the user in real time and carrying out popup reminding in real time.
3. A diet goal-based takeaway ordering recommendation system as claimed in claim 2 wherein: the real-time diet reminding module is also used for carrying out pop-up window reminding on the meals interfering with the user target.
4. A diet goal-based takeaway ordering recommendation method applied to a diet goal-based takeaway ordering recommendation system according to any one of claims 1-3, characterized in that: the method comprises the following steps:
s1: the user sets the current personal information through the user information setting module, including: height, weight, body fat rate, age and three-dimensional information;
s2: the user further sets a user target through a user information setting module; the user goals include: fat reduction, muscle enhancement and body shaping;
s3: the system obtains the nutrient content statistics of the recent eating of the user through a food information input module, a food nutrient content detection module and a recent order of the user;
s4: and the system comprehensively recommends corresponding shops and food through the control module when the user makes a new order.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111263724.1A CN114066559A (en) | 2021-10-26 | 2021-10-26 | A system and method for recommending food ordering for takeout based on dietary goals |
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| CN202111263724.1A CN114066559A (en) | 2021-10-26 | 2021-10-26 | A system and method for recommending food ordering for takeout based on dietary goals |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117787673A (en) * | 2024-02-28 | 2024-03-29 | 中国人民解放军91451部队 | Ordering, processing and managing method and system in collective restaurant scene |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090055199A1 (en) * | 2004-11-19 | 2009-02-26 | Setup Ventures Licensing Limited | Customer Recommendation System |
| US20160140644A1 (en) * | 2014-11-19 | 2016-05-19 | Wal-Mart Stores, Inc. | Recommending food items based on personal information and nutritional content |
| CN107945058A (en) * | 2017-11-08 | 2018-04-20 | 北京轻生活时代科技发展有限责任公司 | A kind of intelligent management system of ordering |
| CN108630298A (en) * | 2018-05-09 | 2018-10-09 | 南京邮电大学 | Healthy diet management method and system, computer readable storage medium, terminal |
| US20180330224A1 (en) * | 2017-05-15 | 2018-11-15 | Shuttle Inc. | Diet information recommendation system and diet information recommendation method |
| CN109377416A (en) * | 2018-09-13 | 2019-02-22 | 北京辰森世纪科技股份有限公司 | Generation method, device and the equipment of menu information |
| KR101978066B1 (en) * | 2017-11-13 | 2019-05-13 | 박혜주 | Method For Providing Dietary Recommendation Service For One-person Households |
-
2021
- 2021-10-26 CN CN202111263724.1A patent/CN114066559A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090055199A1 (en) * | 2004-11-19 | 2009-02-26 | Setup Ventures Licensing Limited | Customer Recommendation System |
| US20160140644A1 (en) * | 2014-11-19 | 2016-05-19 | Wal-Mart Stores, Inc. | Recommending food items based on personal information and nutritional content |
| US20180330224A1 (en) * | 2017-05-15 | 2018-11-15 | Shuttle Inc. | Diet information recommendation system and diet information recommendation method |
| CN107945058A (en) * | 2017-11-08 | 2018-04-20 | 北京轻生活时代科技发展有限责任公司 | A kind of intelligent management system of ordering |
| KR101978066B1 (en) * | 2017-11-13 | 2019-05-13 | 박혜주 | Method For Providing Dietary Recommendation Service For One-person Households |
| CN108630298A (en) * | 2018-05-09 | 2018-10-09 | 南京邮电大学 | Healthy diet management method and system, computer readable storage medium, terminal |
| CN109377416A (en) * | 2018-09-13 | 2019-02-22 | 北京辰森世纪科技股份有限公司 | Generation method, device and the equipment of menu information |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117787673A (en) * | 2024-02-28 | 2024-03-29 | 中国人民解放军91451部队 | Ordering, processing and managing method and system in collective restaurant scene |
| CN117787673B (en) * | 2024-02-28 | 2024-06-11 | 中国人民解放军91451部队 | Ordering, processing and managing method and system in collective restaurant scene |
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