CN105160007A - Diet recommendation method and system - Google Patents
Diet recommendation method and system Download PDFInfo
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- CN105160007A CN105160007A CN201510604270.8A CN201510604270A CN105160007A CN 105160007 A CN105160007 A CN 105160007A CN 201510604270 A CN201510604270 A CN 201510604270A CN 105160007 A CN105160007 A CN 105160007A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to diet recommendation method and system. According to the method, a diet database and a user database are created on the basis of a set top box; the database is queried according to user identity; and current weather and the physical condition of a user are obtained to recommend a matched recipe to the user, so that the user can know which diets different weather and physical conditions are suitable for, and effectively and reasonably plans the diet. Therefore, the diet recommendation method and system play a good health role in ensuring the diet, and generate great benefits for health of people.
Description
Technical field
The present invention relates to the communications field, particularly relate to a kind of dietary recommendations continued method and system.
Background technology
At present, along with the raising of people's living standard, the requirement of people to health is also more and more higher, and diet is directly related with health of people, and food quality has become the problem of people's special concern.
Food quality quality has much relations with weather and people's health, and different weather, the requirement of different health to diet also all also exist difference.But people often do not understand, do not know which diet different weather and health are applicable to, thus arrangement diet that can not be effective and reasonable, can not ensure that diet plays good health effect, the health of people is had an impact.
Summary of the invention
In view of this, be necessary the problem that rationally effectively can not arrange diet for above-mentioned people, a kind of dietary recommendations continued method and system are provided.
The invention provides a kind of dietary recommendations continued method, comprise the steps:
S10: create dietary data storehouse and be stored into Set Top Box, the multiple recipe of dietary data library storage, and the health of the corresponding corresponding weather of each recipe and applicable crowd;
S20: create customer data base and be also stored into Set Top Box, the identity of the multiple user of user data library storage, health and diet hobby;
S30: when user needs recommended dietary, controller top box obtains current weather and user identity, inquires about dietary data storehouse according to weather and user identity and customer data base mates, and obtains the recipe recommendation of coupling to user.
In an embodiment wherein, described step S30 also comprises: sorted according to user's diet hobby by the recipe of coupling, high for user preferences degree preferentially recommended.
In an embodiment wherein, described method also comprises: S40: according to the recipe recommending user, obtains the food materials needed for recipe, by the price of the local food materials of network inquiry, and price is sent to user.
In an embodiment wherein, described step S40 also comprises: by the price of the local food materials of network inquiry, according to the price of the calculation of price recipe of food materials, and sorts to recipe according to recipe price height.
The present invention also provides a kind of dietary recommendations continued system, comprising:
Dietary data creating unit, for creating dietary data storehouse and being stored into Set Top Box, the multiple recipe of dietary data library storage, and the health of the corresponding corresponding weather of each recipe and applicable crowd;
Customer data base creating unit, for creating customer data base and being stored into Set Top Box, the identity of the multiple user of user data library storage, health and diet hobby;
Recipe matching unit, when user needs recommended dietary, controller top box obtains current weather and user identity, according to weather and user identity inquiry dietary data storehouse and customer data base mate, obtain coupling recipe recommendation to user.
In an embodiment wherein, the recipe of coupling sorts according to user's diet hobby by described recipe matching unit, high for user preferences degree is preferentially recommended.
In an embodiment wherein, described system also comprises: price queries unit, according to the recipe recommending user, obtains the food materials needed for recipe, by the price of the local food materials of network inquiry, and price is sent to user.
In an embodiment wherein, described price queries unit, by the price of the local food materials of network inquiry, according to the price of the calculation of price recipe of food materials, and sorts to recipe according to recipe price height.
Dietary recommendations continued method and system of the present invention, dietary data storehouse and customer data base is created based on Set Top Box, according to user identity Query Database, obtain the recipe of current weather and user's body situation recommendation coupling to user, thus which diet different weather and health are applicable to make user know, effective and reasonable arrangement diet, ensures that diet plays good health effect, produces great advantage to the health of people.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the dietary recommendations continued method in an embodiment.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Fig. 1 is the process flow diagram of the dietary recommendations continued method in an embodiment, and as shown in Figure 1, the method comprises the steps:
S10: create dietary data storehouse and be stored into Set Top Box, the multiple recipe of dietary data library storage, and the health of the corresponding corresponding weather of each recipe and applicable crowd.
Set Top Box, as equipment widely used in family, coordinates by user is commonly used with televisor.Therefore the present invention is based on Set Top Box dietary recommendations continued is carried out to user.For can carry out the recommendation on diet to user, need to build corresponding recommending data storehouse, in this embodiment, create dietary data storehouse.Dietary data storehouse is for storing multiple recipe.The health that each recipe correspond to specific weather and is applicable to.Such as crowd's edibility of corresponding temperature, humidity and which health.After constructing dietary data storehouse, just can recommend accordingly according to the health of weather and user at that time.
S20: create customer data base and be also stored into Set Top Box, the identity of the multiple user of user data library storage, health and diet hobby.
Behind establishment dietary data storehouse, use for the convenience of the user, create customer data base further, for storing subscriber information.User profile comprises user identity, health and diet hobby, so just can very fast user be positioned, health (whether having disease etc.) and the diet of understanding user are liked (compare which diet and dote on or repulsion etc.).
S30: when user needs recommended dietary, controller top box obtains current weather and user identity, inquires about dietary data storehouse according to weather and user identity and customer data base mates, and obtains the recipe recommendation of coupling to user.
Behind establishment dietary data storehouse and customer data base, when user needs to recommend, then send request to Set Top Box, current weather and user identity is obtained by Set Top Box, then mate with database according to user identity and current weather, obtain the recipe mated, thus realize suitable dietary recommendations continued.
In further mode, this step also comprises: sorted according to user's diet hobby by the recipe of coupling, high for user preferences degree preferentially recommended.Take into full account that the recipe liking recommendation optimum of user is to user, meets consumers' demand greatly like this.
S40: according to the recipe recommending user, obtains the food materials needed for recipe, by the price of the local food materials of network inquiry, and price is sent to user.
After recommending recipes is to user, user needs to prepare the food materials needed for recipe, and understand cost for the convenience of the user and buy ground, further by the price of network inquiry food materials, and price being showed user, enough families are selected.
In further mode, this step is specially: by the price of the local food materials of network inquiry, according to the price of the calculation of price recipe of food materials, and sorts to recipe according to recipe price height.Such user can have a clear understanding of the price of each recipe, selects by oneself demand.
This dietary recommendations continued method, dietary data storehouse and customer data base is created based on Set Top Box, according to user identity Query Database, obtain the recipe of current weather and user's body situation recommendation coupling to user, thus which diet different weather and health are applicable to make user know, effective and reasonable arrangement diet, ensures that diet plays good health effect, produces great advantage to the health of people.
Meanwhile, the present invention also provides a kind of dietary recommendations continued system, and this system comprises:
Dietary data creating unit, for creating dietary data storehouse and being stored into Set Top Box, the multiple recipe of dietary data library storage, and the health of the corresponding corresponding weather of each recipe and applicable crowd.
Set Top Box, as equipment widely used in family, coordinates by user is commonly used with televisor.Therefore the present invention is based on Set Top Box dietary recommendations continued is carried out to user.For can carry out the recommendation on diet to user, need to build corresponding recommending data storehouse, in this embodiment, dietary data creating unit creates dietary data storehouse.Dietary data storehouse is for storing multiple recipe.The health that each recipe correspond to specific weather and is applicable to.Such as crowd's edibility of corresponding temperature, humidity and which health.After constructing dietary data storehouse, just can recommend accordingly according to the health of weather and user at that time.
Customer data base creating unit, for creating customer data base and being stored into Set Top Box, the identity of the multiple user of user data library storage, health and diet hobby.
Behind establishment dietary data storehouse, use for the convenience of the user, create customer data base further, for storing subscriber information.User profile comprises user identity, health and diet hobby, so just can very fast user be positioned, health (whether having disease etc.) and the diet of understanding user are liked (compare which diet and dote on or repulsion etc.).
Recipe matching unit, when user needs recommended dietary, controller top box obtains current weather and user identity, according to weather and user identity inquiry dietary data storehouse and customer data base mate, obtain coupling recipe recommendation to user.
Behind establishment dietary data storehouse and customer data base, when user needs to recommend, then send request to Set Top Box, current weather and user identity is obtained by Set Top Box, then mate with database according to user identity and current weather, obtain the recipe mated, thus realize suitable dietary recommendations continued.
In further mode, the recipe of coupling sorts according to user's diet hobby by recipe matching unit, high for user preferences degree is preferentially recommended.Take into full account that the recipe liking recommendation optimum of user is to user, meets consumers' demand greatly like this.
Price queries unit, according to the recipe recommending user, obtains the food materials needed for recipe, by the price of the local food materials of network inquiry, and price is sent to user.
After recommending recipes is to user, user needs to prepare the food materials needed for recipe, and understand cost for the convenience of the user and buy ground, further by the price of network inquiry food materials, and price being showed user, enough families are selected.
In further mode, price queries unit, by the price of the local food materials of network inquiry, according to the price of the calculation of price recipe of food materials, and sorts to recipe according to recipe price height.Such user can have a clear understanding of the price of each recipe, selects by oneself demand.
This dietary recommendations continued system, dietary data storehouse and customer data base is created based on Set Top Box, according to user identity Query Database, obtain the recipe of current weather and user's body situation recommendation coupling to user, thus which diet different weather and health are applicable to make user know, effective and reasonable arrangement diet, ensures that diet plays good health effect, produces great advantage to the health of people.
Dietary recommendations continued method and system of the present invention, dietary data storehouse and customer data base is created based on Set Top Box, according to user identity Query Database, obtain the recipe of current weather and user's body situation recommendation coupling to user, thus which diet different weather and health are applicable to make user know, effective and reasonable arrangement diet, ensures that diet plays good health effect, produces great advantage to the health of people.
These are only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. a dietary recommendations continued method, is characterized in that, comprises the steps:
S10: create dietary data storehouse and be stored into Set Top Box, the multiple recipe of dietary data library storage, and the health of the corresponding corresponding weather of each recipe and applicable crowd;
S20: create customer data base and be also stored into Set Top Box, the identity of the multiple user of user data library storage, health and diet hobby;
S30: when user needs recommended dietary, controller top box obtains current weather and user identity, inquires about dietary data storehouse according to weather and user identity and customer data base mates, and obtains the recipe recommendation of coupling to user.
2. dietary recommendations continued method according to claim 1, is characterized in that, described step S30 also comprises: sorted according to user's diet hobby by the recipe of coupling, high for user preferences degree preferentially recommended.
3. dietary recommendations continued method according to claim 1, is characterized in that, described method also comprises: S40: according to the recipe recommending user, obtains the food materials needed for recipe, by the price of the local food materials of network inquiry, and price is sent to user.
4. dietary recommendations continued method according to claim 3, is characterized in that, described step S40 also comprises: by the price of the local food materials of network inquiry, according to the price of the calculation of price recipe of food materials, and sorts to recipe according to recipe price height.
5. a dietary recommendations continued system, is characterized in that, comprising:
Dietary data creating unit, for creating dietary data storehouse and being stored into Set Top Box, the multiple recipe of dietary data library storage, and the health of the corresponding corresponding weather of each recipe and applicable crowd;
Customer data base creating unit, for creating customer data base and being stored into Set Top Box, the identity of the multiple user of user data library storage, health and diet hobby;
Recipe matching unit, when user needs recommended dietary, controller top box obtains current weather and user identity, according to weather and user identity inquiry dietary data storehouse and customer data base mate, obtain coupling recipe recommendation to user.
6. dietary recommendations continued system according to claim 5, is characterized in that, the recipe of coupling sorts according to user's diet hobby by described recipe matching unit, high for user preferences degree is preferentially recommended.
7. dietary recommendations continued system according to claim 5, is characterized in that, described system also comprises: price queries unit, according to the recipe recommending user, obtain the food materials needed for recipe, by the price of the local food materials of network inquiry, and price is sent to user.
8. dietary recommendations continued system according to claim 7, is characterized in that, described price queries unit, by the price of the local food materials of network inquiry, according to the price of the calculation of price recipe of food materials, and sorts to recipe according to recipe price height.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510604270.8A CN105160007A (en) | 2015-09-21 | 2015-09-21 | Diet recommendation method and system |
| PCT/CN2016/098964 WO2017050167A1 (en) | 2015-09-21 | 2016-09-14 | Diet recommendation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510604270.8A CN105160007A (en) | 2015-09-21 | 2015-09-21 | Diet recommendation method and system |
Publications (1)
| Publication Number | Publication Date |
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| CN105160007A true CN105160007A (en) | 2015-12-16 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510604270.8A Pending CN105160007A (en) | 2015-09-21 | 2015-09-21 | Diet recommendation method and system |
Country Status (2)
| Country | Link |
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| CN (1) | CN105160007A (en) |
| WO (1) | WO2017050167A1 (en) |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105893489A (en) * | 2016-03-29 | 2016-08-24 | 乐视控股（北京）有限公司 | Multimedia recommendation method and device |
| CN106096237A (en) * | 2016-05-31 | 2016-11-09 | 点击率（北京）科技有限公司 | A kind of method and device of intelligent recommendation health diet |
| WO2017050167A1 (en) * | 2015-09-21 | 2017-03-30 | 深圳市九洲电器有限公司 | Diet recommendation method and system |
| CN106777932A (en) * | 2016-12-01 | 2017-05-31 | 戴宁军 | Healthy diet inquiry system |
| WO2017124509A1 (en) * | 2016-01-24 | 2017-07-27 | 白宏伟 | Method for storing food ingredients recommended according to weather and storage system |
| CN107038413A (en) * | 2017-03-08 | 2017-08-11 | 合肥华凌股份有限公司 | recipe recommendation method, device and refrigerator |
| CN107451411A (en) * | 2017-08-07 | 2017-12-08 | 贵州众云大数据服务有限公司 | A kind of way of dining based on big data |
| CN107680652A (en) * | 2017-09-13 | 2018-02-09 | 天津大学 | A method for recommending and evaluating nutritional diet based on machine learning |
| WO2018027826A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Data collection method for use in food recommendation technology, and recommendation system |
| WO2018027824A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Method for recommending food and drink according to weather, and recommendation system |
| CN107803838A (en) * | 2016-09-09 | 2018-03-16 | 九阳股份有限公司 | A kind of dietary management method and service robot based on service robot |
| CN107870581A (en) * | 2017-10-10 | 2018-04-03 | 广东美的厨房电器制造有限公司 | Cooking control method and cooking device |
| CN108648802A (en) * | 2018-05-15 | 2018-10-12 | 四川斐讯信息技术有限公司 | A kind of recipe recommendation method and system |
| CN109119142A (en) * | 2018-08-30 | 2019-01-01 | 周梦杰 | A kind of personalization preferred diet appraisal procedure |
| CN109285597A (en) * | 2018-10-08 | 2019-01-29 | 北京健康有益科技有限公司 | A kind of dietotherapy recipe recommendation method, apparatus and readable medium |
| CN110309372A (en) * | 2018-02-12 | 2019-10-08 | 迅康自动化股份有限公司 | Intelligent recipe recommendation device, its method and automatic cooking device |
| CN110989383A (en) * | 2019-12-06 | 2020-04-10 | 珠海格力电器股份有限公司 | Control method and system for intelligent shared kitchen, storage medium and processor |
| CN113222702A (en) * | 2021-05-19 | 2021-08-06 | 齐喝彩(上海)人工智能科技有限公司 | Beverage recipe recommendation method and system for automatic beverage machine |
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2017050167A1 (en) * | 2015-09-21 | 2017-03-30 | 深圳市九洲电器有限公司 | Diet recommendation method and system |
| WO2017124509A1 (en) * | 2016-01-24 | 2017-07-27 | 白宏伟 | Method for storing food ingredients recommended according to weather and storage system |
| CN105893489A (en) * | 2016-03-29 | 2016-08-24 | 乐视控股（北京）有限公司 | Multimedia recommendation method and device |
| CN106096237A (en) * | 2016-05-31 | 2016-11-09 | 点击率（北京）科技有限公司 | A kind of method and device of intelligent recommendation health diet |
| WO2018027826A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Data collection method for use in food recommendation technology, and recommendation system |
| WO2018027824A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Method for recommending food and drink according to weather, and recommendation system |
| CN107803838A (en) * | 2016-09-09 | 2018-03-16 | 九阳股份有限公司 | A kind of dietary management method and service robot based on service robot |
| CN106777932A (en) * | 2016-12-01 | 2017-05-31 | 戴宁军 | Healthy diet inquiry system |
| CN107038413A (en) * | 2017-03-08 | 2017-08-11 | 合肥华凌股份有限公司 | recipe recommendation method, device and refrigerator |
| CN107451411A (en) * | 2017-08-07 | 2017-12-08 | 贵州众云大数据服务有限公司 | A kind of way of dining based on big data |
| CN107680652A (en) * | 2017-09-13 | 2018-02-09 | 天津大学 | A method for recommending and evaluating nutritional diet based on machine learning |
| CN107870581A (en) * | 2017-10-10 | 2018-04-03 | 广东美的厨房电器制造有限公司 | Cooking control method and cooking device |
| CN110309372A (en) * | 2018-02-12 | 2019-10-08 | 迅康自动化股份有限公司 | Intelligent recipe recommendation device, its method and automatic cooking device |
| CN108648802A (en) * | 2018-05-15 | 2018-10-12 | 四川斐讯信息技术有限公司 | A kind of recipe recommendation method and system |
| CN109119142A (en) * | 2018-08-30 | 2019-01-01 | 周梦杰 | A kind of personalization preferred diet appraisal procedure |
| CN109285597A (en) * | 2018-10-08 | 2019-01-29 | 北京健康有益科技有限公司 | A kind of dietotherapy recipe recommendation method, apparatus and readable medium |
| CN110989383A (en) * | 2019-12-06 | 2020-04-10 | 珠海格力电器股份有限公司 | Control method and system for intelligent shared kitchen, storage medium and processor |
| CN113222702A (en) * | 2021-05-19 | 2021-08-06 | 齐喝彩(上海)人工智能科技有限公司 | Beverage recipe recommendation method and system for automatic beverage machine |
| CN113240295A (en) * | 2021-05-19 | 2021-08-10 | 广州图云信息科技有限公司 | Firefighter food management method, device, medium and terminal equipment |
| CN119832914A (en) * | 2025-03-17 | 2025-04-15 | 青岛海尔电冰箱有限公司 | Personalized voice question-answering method and device based on large model and refrigeration equipment |
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| Publication number | Publication date |
|---|---|
| WO2017050167A1 (en) | 2017-03-30 |
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Application publication date: 20151216 |
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