CN109509117A - A kind of vegetable recommended method, apparatus and system - Google Patents
A kind of vegetable recommended method, apparatus and system Download PDFInfo
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- CN109509117A CN109509117A CN201811158866.XA CN201811158866A CN109509117A CN 109509117 A CN109509117 A CN 109509117A CN 201811158866 A CN201811158866 A CN 201811158866A CN 109509117 A CN109509117 A CN 109509117A
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- 235000013311 vegetables Nutrition 0.000 title claims abstract description 346
- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000036541 health Effects 0.000 claims abstract description 168
- 235000016709 nutrition Nutrition 0.000 claims description 38
- 230000035764 nutrition Effects 0.000 claims description 22
- 230000003862 health status Effects 0.000 abstract description 17
- 238000013461 design Methods 0.000 abstract description 3
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- 206010020772 Hypertension Diseases 0.000 description 14
- 235000012054 meals Nutrition 0.000 description 14
- 238000010586 diagram Methods 0.000 description 7
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- 239000003814 drug Substances 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 208000017667 Chronic Disease Diseases 0.000 description 4
- 208000004930 Fatty Liver Diseases 0.000 description 4
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- 230000002411 adverse Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 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
- 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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- 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 application discloses a kind of vegetable recommended method and a kind of vegetable recommendation apparatus and system.The vegetable recommended method includes: the request of ordering by obtaining dining customer, obtain the health data of dining customer, according to the health data of dining customer, vegetable feature needed for obtaining dining customer, the further vegetable feature according to needed for the dining customer, selection meets the dish information of the vegetable feature, and the dish information for meeting the vegetable feature of selection is recommended dining customer.Using vegetable recommended method provided by the present application, it can be by comparing the health status for the customer that eating and the characteristic information of vegetable, suitable vegetable is accurately selected according to the health demand of customer, more accurate vegetable suggested design is formed for different dining crowds, to improve the experience of having dinner of customer.
Description
Technical field
This application involves artificial intelligence fields, and in particular to a kind of intelligence vegetable recommended method, apparatus and system
Background technique
With the improvement of material living standards, requirement of the people to healthy diet is also higher and higher, and unreasonable diet is past
Adverse effect is caused to health status toward meeting, such as leads to the exacerbation of various chronic diseases and sub-health state.Therefore, work as customer
When eating to dining room, whether the nutritional ingredient collocation in recommended vegetable is reasonable, if meets the healthy shape for the customer that eating
Condition and with dining customer health index whether match it is more and more important for a user, it is still, not all
People can understand the physical condition of oneself and the nutrition of required intake, so can not accomplish that suitable nutrition is replenished in time
Composition and microelement dietary fiber etc., especially children and old man can not accomplish most reasonable meals according to actual physical condition
Food.Therefore, how reasonable vegetable is recommended to have become catering industry urgent problem to be solved according to different dining customers.
To solve the above-mentioned problems, the technical solution that the prior art generallys use is to be ordered food in customer by terminal
When, vegetable recommendation is carried out according to the preset target gross profit rate score of the history food and drink order data of acquisition and dining room.But at present
Vegetable recommendation process institute according to sample data is relatively simple, cause the dish information recommended to be difficult to meet user demand, thus
The dining of customer is caused to be experienced poor.
Summary of the invention
The application provides a kind of vegetable recommended method, apparatus and system, to solve above-mentioned recommendation of the existing technology
Dish information is difficult to meet user demand, and the dining of customer is thus caused to experience poor problem.In addition the application provides one kind
The electronic equipment and storage equipment that vegetable is recommended.
A kind of vegetable recommended method provided by the present application, comprising:
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
Optionally, the request of ordering for the dining customer, obtains the health data of the dining customer, packet
It includes:
For the request of ordering of the dining customer, the identification information of the dining customer is obtained;
According to it is described dining customer identification information and eat customer identification information and health data corresponding relationship,
Obtain health data corresponding with the dining identification information of customer.
Optionally, the request of ordering for the dining customer, obtains the health data of the dining customer, packet
It includes:
For the request of ordering of the dining customer, the identification information of the dining customer is obtained;
According to the identification information of the dining customer, the historical movement data of the dining customer are obtained, Historical medical protects
At least one of number of package evidence data;
According at least one of the historical movement data of the dining customer, Historical medical's health care data data, generate
The health data of the dining customer.
Optionally, the health data according to the dining customer, vegetable feature needed for obtaining the dining customer,
Include:
According to the health data of the dining customer, the health characteristics of the dining customer are obtained;
According to it is described dining customer health characteristics and health characteristics and vegetable feature between corresponding relationship, obtain with
The corresponding vegetable feature of health characteristics of the dining customer;
Vegetable needed for vegetable feature corresponding with the dining health characteristics of customer is determined as the dining customer
Feature.
Optionally, the health data according to the dining customer, vegetable feature needed for obtaining the dining customer,
It include: the corresponding relationship between the health data and health data and vegetable feature according to the dining customer, acquisition and institute
State the corresponding vegetable feature of health data of dining customer;
Vegetable needed for vegetable feature corresponding with the dining health data of customer is determined as the dining customer
Feature.
Optionally, the health data according to the dining customer, vegetable feature needed for obtaining the dining customer,
Include:
According to the health data of the dining customer, nutrition data needed for obtaining the dining customer;
According to nutrition data needed for the dining customer, obtain matched with nutrition data needed for the dining customer
Dish information;
It will be determined as needed for the dining customer with the matched dish information of nutrition data needed for the dining customer
Vegetable feature.
Optionally, the vegetable recommended method further include:
For the request of ordering of the dining customer, the age number of dining customers' preferences feature and the dining customer is obtained
According at least one of data;
The health data according to the dining customer, vegetable feature needed for obtaining the dining customer, comprising: root
It is cared for according at least one of the age data of the dining customers' preferences feature and dining customer data and the dining
The health data of visitor, vegetable feature needed for obtaining the dining customer.
Optionally, at least one according in the age data of the dining customers' preferences feature and the dining customer
The health data of kind data and the dining customer, vegetable feature needed for obtaining the dining customer, comprising:
Obtain with the dining customers' preferences feature and at least one of the age data data of the dining customer with
And the corresponding index information of health data of the dining customer;
According to the corresponding relationship between vegetable feature needed for the index information and index information and dining customer, obtain
Vegetable feature needed for obtaining dining customer corresponding with the index information.
Optionally, at least one according in the age data of the dining customers' preferences feature and the dining customer
The health data of kind data and the dining customer, vegetable feature needed for obtaining the dining customer, comprising:
According at least one of the age data data of the dining customers' preferences feature and the dining customer and
The health data of the dining customer generates the dining characteristic set of the dining customer;
Calculate the similarity between at least one feature and candidate vegetable feature in the dining characteristic set;
Vegetable feature needed for the vegetable feature that similarity meets similarity condition is determined as the dining customer.
Optionally, the vegetable recommended method further include:
Obtain at least one of the profit data of comment data and dish information for being directed to dish information data;
The vegetable feature according to needed for the dining customer, selection meet the dish information of the vegetable feature, packet
It includes: according at least one of the profit data of comment data and dish information for being directed to dish information data and the dining
Vegetable feature needed for customer, selection meet the dish information of the vegetable feature.
Optionally, the basis is at least one of the comment data of dish information and profit data of dish information
Vegetable feature needed for data and the dining customer, selection meet the dish information of the vegetable feature, comprising:
If obtain multiple dish informations for meeting the vegetable feature, meet the vegetable feature from the multiple
The vegetable letter that comment data meets comment data condition and/or profit data meets profit data condition is selected in dish information
Breath.
Optionally, the vegetable recommended method further include:
The dining customer is obtained for the modification information for the dish information recommended;
According to the health data of the dining customer, the health characteristics of the dining customer are obtained;
Judge whether the feature of modified dish information meets the health characteristics of the dining customer, if it is not, then to
It is described dining customer prompt the feature of modified dish information do not meet it is described dining customer health characteristics.
Optionally, the modification information includes vegetable demand information;
The vegetable recommended method further include:
If the feature of modified dish information does not meet the health characteristics of the dining customer, believe from candidate vegetable
The dish information for the health characteristics for meeting vegetable demand information and meeting the dining customer is selected to recommend the use in breath
Eat customer.
Correspondingly, the application also provides a kind of vegetable recommendation apparatus, comprising:
First obtains unit, for obtaining the request of ordering of dining customer;
Second obtaining unit obtains the healthy number of the dining customer for the request of ordering for the dining customer
According to;
Third obtaining unit, for the health data according to the dining customer, dish needed for obtaining the dining customer
Product feature;
Selecting unit, for the vegetable feature according to needed for the dining customer, selection meets the dish of the vegetable feature
Product information;
First recommendation unit is cared for for the dish information for meeting the vegetable feature of selection to be recommended the dining
Visitor.
Optionally, second obtaining unit is specifically used for, and for the request of ordering of the dining customer, obtains the use
The identification information of meal customer;
According to it is described dining customer identification information and eat customer identification information and health data corresponding relationship,
Obtain health data corresponding with the dining identification information of customer.
Optionally, second obtaining unit is specifically used for, and for the request of ordering of the dining customer, obtains the use
The identification information of meal customer;
According to the identification information of the dining customer, the historical movement data of the dining customer are obtained, Historical medical protects
At least one of number of package evidence data;
According at least one of the historical movement data of the dining customer, Historical medical's health care data data, generate
The health data of the dining customer.
Optionally, third obtaining unit is specifically used for, and according to the health data of the dining customer, obtains the dining and cares for
The health characteristics of visitor;
According to it is described dining customer health characteristics and health characteristics and vegetable feature between corresponding relationship, obtain with
The corresponding vegetable feature of health characteristics of the dining customer;
Vegetable needed for vegetable feature corresponding with the dining health characteristics of customer is determined as the dining customer
Feature.
Optionally, the third obtaining unit is specifically used for, according to the health data and healthy number of the dining customer
According to the corresponding relationship between vegetable feature, vegetable feature corresponding with the dining health data of customer is obtained;
Vegetable needed for vegetable feature corresponding with the dining health data of customer is determined as the dining customer
Feature.
Optionally, the third obtaining unit is specifically used for, and according to the health data of the dining customer, obtains the use
Nutrition data needed for meal customer;
According to nutrition data needed for the dining customer, obtain matched with nutrition data needed for the dining customer
Dish information;
It will be determined as needed for the dining customer with the matched dish information of nutrition data needed for the dining customer
Vegetable feature.
Optionally, the vegetable recommendation apparatus, further includes:
4th obtaining unit obtains dining customers' preferences feature and institute for the request of ordering for the dining customer
State at least one of the age data of dining customer data;
The third obtaining unit is used for, according to the age data of the dining customers' preferences feature and the dining customer
At least one of data and the dining customer health data, vegetable feature needed for obtaining the dining customer.
Optionally, the third obtaining unit is specifically used for, and obtains and the dining customers' preferences feature and the dining
The corresponding index information of health data of at least one of age data of customer data and the dining customer;
According to the corresponding relationship between vegetable feature needed for the index information and index information and dining customer, obtain
Vegetable feature needed for obtaining dining customer corresponding with the index information.
Optionally, the third obtaining unit is specifically used for, and is cared for according to the dining customers' preferences feature and the dining
The health data of at least one of the age data of visitor data and the dining customer generate the dining of the dining customer
Characteristic set;
Calculate the similarity between at least one feature and candidate vegetable feature in the dining characteristic set;
Vegetable feature needed for the vegetable feature that similarity meets similarity condition is determined as the dining customer.
Optionally, the vegetable recommendation apparatus, further includes:
5th obtaining unit, for obtain be directed to dish information comment data and dish information profit data in extremely
A kind of few data;
The selecting unit is used for, according to for dish information comment data and dish information profit data in extremely
Vegetable feature needed for lacking a kind of data and the dining customer, selection meet the dish information of the vegetable feature.
Optionally, the selecting unit is specifically used for, if obtaining multiple dish informations for meeting the vegetable feature,
Comment data is selected to meet comment data condition and/or profit number from the multiple dish information for meeting the vegetable feature
According to the dish information for meeting profit data condition.
Optionally, the vegetable recommendation apparatus, further includes:
7th obtaining unit, for obtaining the dining customer for the modification information for the dish information recommended;
8th obtaining unit, for the health data according to the dining customer, the health for obtaining the dining customer is special
Sign;
Judging unit, for judging whether the feature of modified dish information meets the health spy of the dining customer
Sign, if it is not, then prompting the feature of modified dish information not meet the health of the dining customer to the dining customer
Feature.
Optionally, the modification information includes vegetable demand information;
The vegetable recommendation apparatus further include:
Second recommendation unit, if the health that the feature for modified dish information does not meet the dining customer is special
Sign, then selection meets vegetable demand information and meets the vegetable of the health characteristics of the dining customer from candidate dish information
Information recommendation gives the dining customer.
Correspondingly, the application also provides a kind of dish recommendation system, comprising: vegetable described in above-mentioned any one recommends dress
It sets.
Correspondingly, the application also provides a kind of electronic equipment, comprising:
Processor;And
Memory, for storing the program of vegetable recommended method, which, which is powered and passes through the processor, runs the dish
After the program for the method that product are recommended, following step is executed:
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
Correspondingly, the application also provides a kind of storage equipment, it is stored with the program of vegetable recommended method, the program is processed
Device operation, executes following step:
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
Compared with prior art, the application has the following advantages:
The application provides a kind of vegetable recommended method, specifically a kind of dish that can effectively meet customer's health demand
Product recommended method.The vegetable recommended method includes: the request of ordering by obtaining dining customer, obtains dining customer's
Health data, according to the health data of dining customer, vegetable feature needed for obtaining dining customer, further according to
Vegetable feature needed for dining customer, selection meet the dish information of the vegetable feature, and selection is met the vegetable spy
The dish information of sign recommends dining customer.Using vegetable recommended method provided by the present application, can eaten by comparison
The health status of customer and the characteristic information of vegetable accurately select suitable vegetable according to the health demand of customer, for different use
Meal crowd forms more accurate vegetable suggested design, to improve the experience of having dinner of customer
Detailed description of the invention
Fig. 1 is a kind of flow chart of vegetable recommended method provided by the embodiments of the present application;
Fig. 2 is a kind of schematic diagram of vegetable recommendation apparatus provided by the embodiments of the present application;
Fig. 3 is a kind of schematic diagram of dish recommendation system provided by the embodiments of the present application;
Fig. 4 is the electronic equipment schematic diagram that a kind of vegetable provided by the embodiments of the present application is recommended.
Specific embodiment
Many details are explained in the following description in order to fully understand the application.But the application can be with
Much it is different from other way described herein to implement, those skilled in the art can be without prejudice to the application intension the case where
Under do similar popularization, therefore, the application is not limited by following public specific implementation.
Below based on the vegetable recommended method of the application, embodiment is described in detail.In addition, in following description
In, each step for being directed to this vegetable recommended method respectively is described in detail.It please refers to shown in Fig. 1, is the application
A kind of schematic diagram for vegetable recommendation apparatus that embodiment provides.
Step S101 obtains the request of ordering of dining customer.
Currently, recommending the nutrition of vegetable balanced to realize, more and more dining rooms can arrange nutritionist in dining customer
During ordering, recommend corresponding preferably vegetable list, dining customer can select according to the preferred vegetable list of recommendation
Suitable vegetable.Although nutritionist can recommend diversified vegetable, since everyone physical condition is different, and nutrition
Shi Wufa grasps the physical condition of dining customer in real time, causes the vegetable for recommending customer might not the suitable user.If
The vegetable of recommendation is not suitable for the user, may be unfavorable for the health of customer, for example, user is cardiovascular disease patient, but seeks
Feeding teacher may be to the vegetable that some cholesterol of the customer recommendation are higher or salt content is more, if customer is according to the vegetable of recommendation
It orders dishes, the state of an illness of customer may be aggravated.Therefore, how to recommend nutrition equal according to the physical condition for the customer that eating
The vegetable of weighing apparatus has become catering industry urgent problem to be solved.
In the embodiment of the present application, the mode of the request of ordering of the acquisition dining customer can pass through dining customer's
The corresponding two dimensional code of mobile scanning terminal, guidance dining customer enter system interface of ordering, and customer is defeated according to interface prompt information
The solicited message that enters to order carries out operation of accordingly ordering, can also be by the mobile terminal of attendant terminal, by waiter according to prompt
Information and the actual conditions of dining customer input solicited message of ordering and carry out operation of accordingly ordering.It should be noted that described
It include that the number of dining customer, the class had a dinner party are inputted according to prompt information according to interface prompt information input solicited message of ordering
The chronic disease etc. that type, dining customer's health status and dining customer whether there is.Certainly, described to order solicited message not
It is only limited to the health status of related dining customer described above or the information of number of meals, can also include dining customer's
Taste preference information and the age information etc. for the customer that eats.In addition to this, the mobile terminal can be smart phone, put down
Plate computer, smartwatch, the mobile devices such as treasured of ordering dishes.
In the embodiment of the present application, the health data in request of ordering is inputted by dining customer, can be obtained dining and be cared for
The required vegetable feature of visitor, forms initial recommendation vegetable, and when eating, customer is directed to when modifying of initial recommendation dish information,
The health characteristics for the dining customer that can be obtained according to the health data of dining customer judge the feature of modified dish information
Whether the health characteristics of dining customer are met, if the health that the feature of modified dish information does not meet dining customer is special
Sign then prompts the feature of modified dish information not meet the health characteristics of dining customer to dining customer, and from default
Candidate dish information in selection meet vegetable demand information and meet dining customer health characteristics dish information recommend
To dining customer.
It, can be with it should be noted that in dining customer's point before the meal in addition to being ordered request according to interface prompt information input
It is selective that initial recommendation vegetable is capable of forming in conjunction with dining customer's History Order data etc..It can be into one in dining customer orders
The health status according to customer of step, and combine diner's History Order data that the offer of ordering of customer is prompted and built in real time
View, to carry out dynamic adjustment according to the selection course of dining customer.The selection course according to dining customer is moved
State adjustment includes that the request of ordering of vegetable, the health status of customer and customer's input has been selected according to customer, and adjustment is recommended in real time
Vegetable.Further, it after dining customer orders request into system interface input of ordering accordingly, can choose above-mentioned initial
Recommend vegetable, is modified in above-mentioned initial recommendation vegetable according to prompt and suggestion, form the individual character menu for being suitble to oneself.Except this
Except, it also can choose and do not receive above-mentioned initial recommendation vegetable, but directly according to prompt and suggest independently being ordered.When
So, in the case where being selected to initial recommendation vegetable and being modified or do not receive initial recommendation vegetable and independently ordered,
Meal ordering system all can input solicited message of ordering according to above-mentioned customer, in conjunction with diner's History Order data in real time to the point of customer
Meal provides prompt and suggests.It, can be strong according to the body of dining customer when the customer that eats selects to recommend the vegetable except vegetable
Health situation reminds the vegetable that customer is selecting of ordering to be not suitable for edible crowd (such as hypertension, hyperlipidemia, fatty liver crowd
Deng), while recommending the suitably edible vegetable of such crowd.In addition, the customer that orders can also be reminded at the end of the process of ordering is fast
Whether the information such as entree of not ordering.The variation progress dynamic tune of whole process selected vegetable when can be ordered according to dining customer
It is whole, and real-time prompting and suggestion are carried out to the customer that orders according to the health status of dining customer.
Further, in the identity letter that can also obtain the dining customer while ordering and request for obtaining dining customer
Breath, so as to dish recommendation system receive at the same time more parts order request when, can accurately identify which request of ordering belongs to
Any table dining customer, so as to recommend to be suitble to the vegetable of different dining customers simultaneously respectively, so that the vegetable specific aim recommended
It is stronger.It further, can be right according to the online diagnosis records of above-mentioned identity information acquisition dining customer, online purchase medicine record
Online account ID is answered, to obtain the online health data information of dining customer.
Step S102 obtains the health data of the dining customer for the request of ordering of the dining customer.
In the embodiment of the present application, the mode of the request of ordering of the acquisition dining customer can pass through dining customer's
The corresponding two dimensional code of mobile scanning terminal, guidance dining customer enter system interface of ordering, and customer is defeated according to interface prompt information
The solicited message that enters to order carries out operation of accordingly ordering, can also be by the mobile terminal of attendant terminal, by waiter according to prompt
Information and the actual conditions of dining customer input solicited message of ordering and carry out operation of accordingly ordering.It should be noted that described
According to interface prompt information input order solicited message include according to prompt information input dining customer ID, eat customer people
The chronic disease etc. that number, the type having a dinner party, dining customer's health status and dining customer whether there is.Certainly, described to order
Solicited message is not restricted to health status or information of number of meals of related dining customer described above etc., can be with
The age information etc. of taste preference information and the customer that eats including the customer that eats.It further, can be according to the use of acquisition
Meal customer ID obtains the identification information of dining customer, so as to dish recommendation system receive at the same time more parts order request when,
It can identify which request of ordering belongs to which table dining customer, accurately so as to recommend to be suitble to different dining Gus respectively simultaneously
The vegetable of visitor so that the vegetable specific aim recommended is stronger avoids that mistake occurs.It further, can also be according to above-mentioned mark
The corresponding dining customer ID of information obtains the online diagnosis records of dining customer, online purchase medicine record from background data base, thus
Obtain the online health data information of dining customer.
Can pre-establish in the embodiment of the present application dining customer order request and eat customer identification information with
And the corresponding relationship between the health data of dining customer, wherein the identification information for the customer that eats is specially to identify dining customer
The information of identity.For the request of ordering of dining customer's input, the identification information of dining customer is obtained, according to dining customer's
Identification information and the eat identification information of customer and the corresponding relationship of health data, obtain the identification information pair with dining customer
The health data answered.It should be noted that the health data be online human health detection system within a preset time period
The body parameter of the dining customer of acquisition, the preset period can be the system default time of human health detection system,
Be also possible to the time set by user, the health data includes at least: it is whether fat, whether with hypertension, whether most
Nearly indigestion, whether hyperglycemia, whether suffer from fatty liver.
According to the request of ordering of dining customer, the identification information of dining customer can be obtained, according to the mark of dining customer
Know information, at least one of historical movement data, the Historical medical's health care data of dining customer data can also be obtained,
According at least one of historical movement data, Historical medical's health care data data, the health data of dining customer can be generated.
Step S103, according to the health data of the dining customer, vegetable feature needed for obtaining the dining customer.
In the embodiment of the present application, it according to the health data information of dining customer, can analyze to obtain the strong of dining customer
Kang Tezheng, the corresponding relationship between dining customer's health characteristics according to the pre-stored data and vegetable feature, can be from vegetable library
Selection meet the dining customer's health needs vegetable feature, thus by with meet the dining customer's health needs vegetable feature
Corresponding vegetable is determined as can satisfy the vegetable that dining customer's own health needs.It should be noted that the healthy number
According to include: whether it is fat, whether with hypertension, whether nearest indigestion, blood glucose whether that be height be is low, with fatty liver
It is the nutritional ingredient feature of vegetable Deng, the vegetable feature, the taste profile of vegetable, heat signature contained by vegetable, fat contains
Measure feature etc..Wherein, according to the health data of dining customer, vegetable feature needed for acquisition meets dining customer be can be
Refer to the health data according to dining customer, nutritional ingredient data needed for obtaining dining customer, according to needed for dining customer
Nutritional ingredient data, the dish information for the nutritional ingredient Data Matching needed for customer that can obtain and eat, so will with
The dish information for nutritional ingredient Data Matching needed for customer of eating carries out comprehensive analysis, is determined as the spy of vegetable needed for customer that eats
Sign.
Step S104, according to vegetable feature needed for the dining customer, selection meets the vegetable letter of the vegetable feature
Breath.
In the embodiment of the present application, vegetable feature needed for the dining customer can refer to obesity dining customer
To the vegetable in requisition for vegetable feature being low calorie, low fat content, the dining customer of hypertension is to being low in requisition for vegetable feature
The vegetable etc. of fat content.The vegetable feature is the nutritional ingredient feature of vegetable, the taste profile of vegetable, heat contained by vegetable
Measure feature, vegetable fat content feature etc., wherein the nutritional ingredient feature of vegetable includes at least vegetable dietary fiber content, dish
The protein content of product, the vitamin content of vegetable;The taste profile of vegetable include at least vegetable taste it is micro- it is peppery, in it is peppery, special
Peppery, the taste of vegetable is slightly sweet, compares sweet tea;It is lower, higher that heat signature contained by vegetable includes at least vegetable institute heat content;Vegetable rouge
The fat content that fat content characteristics include at least vegetable is lower, higher etc..After the health data for detecting dining customer, pass through
Comprehensive analysis is carried out to the health data of dining customer, can identify the corresponding health status of human body items health data.To work as
Whether the health status of preceding dining customer is the vegetable feature according to needed for the dining customer for obesity, selection
Meet the dish information of the vegetable feature specifically: if every healthy data of dining customer is in normal range (NR)
It is interior, then can determine that the body of the target user is in health status, at this time can taste directly according to dining customer it is inclined
Recommendation vegetable is carried out well, while can also be recommended according to preset healthy vegetable scheme;If by dining customer's
Health data carries out comprehensive analysis, judges that the weight data of dining customer is more than normal range (NR), then further quantization is true
Fixed dining customer is in slight obese state or obesity state, at this time can root if being in obesity state
It is dining customer recommendation vegetable feature according to obesity state this health characteristics is vegetable low in calories.With the customer that currently eats
Health status whether be hypertension for, if every healthy data of dining customer is in the normal range, that
It is assured that the body of dining customer is in health status, it may be assumed that non-hypertensive, it at this time can be directly according to dining customer
Taste preference carry out recommendation vegetable, while can also be recommended according to preset healthy vegetable scheme;If in conjunction with dining
The online hypertension drug history data of customer judge that the blood pressure of dining customer is more than normal range (NR), then further by more
The frequency and dosage of hypertension drug quantify to determine that dining customer is in mild hypertension or severe hypertension.
It at this time should be that dining customer recommendation vegetable feature is according to this health characteristics of severe hypertension if being in severe hypertension
The vegetable of low-fat content.
The dish information for meeting the vegetable feature of selection is recommended the dining customer by step S105.
In the embodiment of the present application, described that the dish information for meeting the vegetable feature of selection is recommended into the use
Meal customer is to be shown dish information by system interface.
In addition, the application also provides a kind of preferred embodiment, for the request of ordering of dining customer's input, eaten
At least one of the age data of customers' preferences feature and dining customer data, the request of ordering of the dining customer input
The age size of taste preference and the customer that eats including input dining customer.It is cared for according to dining customers' preferences feature and dining
At least one of the age data of visitor data, the further health data for combining dining customer, obtain and meet dining customer
The vegetable feature that taste, age and health need.Specifically, the embodiment of the present application is special with dining customers' preferences by obtaining
It seeks peace at least one of the age data data of customer of eating, in conjunction with the corresponding index information of health data of dining customer,
According to the corresponding relationship between vegetable feature needed for index information and index information and dining customer, to obtain and index
Vegetable feature needed for the corresponding dining customer of information.The embodiment of the present application can also by obtain dining customers' preferences feature and
At least one of the age data of dining customer data generate the dining of dining customer in conjunction with the health data of dining customer
Characteristic set calculates the similarity between at least one feature and candidate vegetable feature in the dining characteristic set, by phase
Vegetable feature needed for being determined as the dining customer like the vegetable feature that degree meets similarity condition.It should be noted that institute
The similarity stated meets similarity condition and refers to that similarity meets similarity threshold or the highest vegetable feature of similarity.
In addition to this, in preferred embodiment provided by the present application, the comment data for dish information can also be obtained
With at least one of the profit data of dish information data, according to the benefit of comment data and dish information for dish information
Moisten at least one of data data, the vegetable feature in conjunction with needed for dining customer, selection meets the dish information of vegetable feature.
It should be further noted that meeting vegetable spy from multiple if obtaining multiple dish informations for meeting the vegetable feature
The dish that comment data meets comment data condition or profit data meets profit data condition is preferentially selected in the dish information of sign
Product information.
Corresponding with a kind of vegetable recommended method of above-mentioned offer, the application also provides a kind of vegetable recommendation apparatus.Due to
Present apparatus embodiment is similar to above method embodiment, so being described relatively simple, related place refers to above method reality
Example part explanation is applied, Installation practice is described below and is only illustrative.It please refers to shown in Fig. 2, implements for the application
A kind of schematic diagram for vegetable recommendation apparatus that example provides.
Vegetable recommendation apparatus described in the embodiment of the present application includes following part:
First obtains unit 201, for obtaining the request of ordering of dining customer.
In the embodiment of the present application, the mode of the request of ordering for obtaining dining customer can pass through the shifting for the customer that eats
Dynamic terminal scans corresponding two dimensional code, and guidance dining customer enters system interface of ordering, and customer is according to interface prompt information input
Solicited message of ordering carries out operation of accordingly ordering, and can also be believed by waiter according to prompt by the mobile terminal of attendant terminal
The actual conditions of breath and dining customer input ordering and request to carry out operation of accordingly ordering.It should be noted that the basis
Interface prompt information input, which is ordered, requests to include the number for inputting dining customer according to prompt information, the type having a dinner party, dining Gu
The chronic disease etc. that objective health status and dining customer whether there is.Certainly, the request of ordering is not restricted to above-mentioned
The health status of the related dining customer or the information of number of meals can also include the taste preference information of dining customer
And the age information etc. of dining customer.In addition to this, the mobile terminal can be smart phone, tablet computer, intelligence
Wrist-watch, the mobile devices such as treasured of ordering dishes.
Further, in the identity letter that can also obtain the dining customer while ordering and request for obtaining dining customer
Breath, so as to dish recommendation system receive at the same time more parts order request when, can accurately identify which request of ordering belongs to
Any table dining customer, so as to recommend to be suitble to the vegetable of different dining customers simultaneously respectively, so that the vegetable specific aim recommended
It is stronger.It further, can be right according to the online diagnosis records of above-mentioned identity information acquisition dining customer, online purchase medicine record
Online account ID is answered, to obtain the online health data information of dining customer.
Second obtaining unit 202 obtains the health of the dining customer for the request of ordering for the dining customer
Data.
In the embodiment of the present application, by pre-establish one dining customer order request and eat customer mark believe
Corresponding relationship between breath and the health data of dining customer.For the request of ordering of dining customer's input, obtains dining and care for
The identification information of visitor is closed according to the identification information of the identification information of dining customer and the customer that eats is corresponding with health data
System obtains health data corresponding with the dining identification information of customer.It should be noted that the health data is online human body
The body parameter for the dining customer that health detecting system acquires within a preset time period, the preset period can be human body
The system default time of health detecting system, it is also possible to the time set by user, the health data includes: whether fertilizer
It is fat, whether with hypertension, whether nearest indigestion, blood glucose whether that be height be is low, with fatty liver etc..
Third obtaining unit 203 obtains needed for the dining customer for the health data according to the dining customer
Vegetable feature.
In the embodiment of the present application, according to the health data of dining customer, it can obtain and meet dining customer health institute
The vegetable feature needed can be obtained according to the corresponding relationship between the health data and vegetable feature of the dining customer being pre-designed
Vegetable feature corresponding with the dining health data of customer is obtained, thus by vegetable corresponding with the dining health data of customer
Feature is determined as vegetable feature needed for customer of eating.Wherein, according to the health data of dining customer, acquisition meets dining Gu
The required vegetable feature of visitor, comprising: according to the health data of dining customer, nutrition number needed for dining customer can be obtained
According to, according to nutrition data needed for dining customer, the matched vegetable letter of the nutrition data needed for customer that can obtain and eat
Breath, and then vegetable feature needed for customer of eating will be determined as with the matched dish information of nutrition data needed for dining customer.
Selecting unit 204, for the vegetable feature according to needed for the dining customer, selection meets the vegetable feature
Dish information.
In the embodiment of the present application, vegetable feature needed for the dining customer is that obesity dining customer corresponds to dish
Product feature is the vegetable of low calorie, low fat content, and the dining customer of hypertension corresponds to the vegetable that vegetable feature is low-fat content
Deng.The dish information includes the nutrition information of vegetable, the taste information of vegetable, caloric information contained by vegetable, fat
Content information etc..The vegetable feature is the dietary fiber that is rich in of vegetable, and vegetable is rich in protein, and vegetable is rich in dimension life
Plain C, the taste of vegetable it is micro- it is peppery, in it is peppery, special peppery, the taste of vegetable is slightly sweet, compares sweet tea, and vegetable institute heat content is lower, higher, fat
Content is lower, higher etc..After the health data for detecting dining customer, the various health and fitness informations of acquisition will be integrated, are identified
Human body items health data is simultaneously quantified.
First recommendation unit 205, for the dish information for meeting the vegetable feature of selection to be recommended the dining
Customer.
In the embodiment of the present application, described that the dish information for meeting the vegetable feature of selection is recommended into the use
Meal customer is to be shown dish information by system interface.
Corresponding with above-mentioned vegetable recommendation apparatus, the application also provides a kind of dish recommendation system.Due to this system reality
It applies example and is similar to above-mentioned apparatus embodiment, so being described relatively simple, related place refers to above-mentioned apparatus embodiment part
Explanation is described below system embodiment and is only illustrative.Fig. 3 is referred to, is one kind provided by the embodiments of the present application
The schematic diagram of dish recommendation system.
Dish recommendation system described in the embodiment of the present application includes following part:
In the embodiment of the present application, the dish recommendation system specifically includes offline electronic menu data mining device
Generating means two parts are calculated with on-line intelligence electronic menu.Wherein, partially include the following: offline based on vegetable library to vegetable into
Row normalized establishes vegetable knowledge mapping, calculates vegetable discount rate, calculates the relevant shops's discount rate of vegetable, thus right
Vegetable feature is excavated, and index is established.It is clicked based on the user that is recorded in user journal library, browsing, the behavioral datas such as collection,
User health data, user's history transaction data etc. excavate the preference profiles of user, and then establish index.It will be offline
The preference data for the user that part is excavated is carried out in line computation, and online part is the real-time calculation part of individualized intelligent electronic menu
Point, the preference profiles based on vegetable feature and user match optimal corresponding relationship, export optimal corresponding relationship and are deposited in advance
Storage.It is described in detail for dish recommendation system, the offline e menu data excavating gear is used for according to vegetable library
In dish information, obtain the fisrt feature information of vegetable, according to dining customer's log library in dining customer's use information, obtain
It must be used to indicate the second feature information of dining customers' preferences and the third feature information for indicating dining customer's physical condition.
The online electronic menu calculates generating means and is used to obtain the fisrt feature information of vegetable, indicates the second of dining customers' preferences
Characteristic information and the third feature information for indicating dining customer's physical condition, according to the second of the expression dining customers' preferences of acquisition
Characteristic information and the fisrt feature information progress for indicating the third feature information of dining customer's physical condition and the vegetable of acquisition
Match, initial recommendation dish is generated based on the optimal corresponding relationship of above-mentioned vegetable feature and user characteristics matching primitives smart electronics vegetable
It is single, during the customer that eats orders, according to indicating the third feature information of dining customer's physical condition and selected the battalion of vegetable
The optimal corresponding relationship of composition information and above-mentioned vegetable feature and user characteristics matching primitives smart electronics vegetable is supported, in real time
The instruction information for guiding dining customer to select suitable vegetable is sent to dining customer.It should be noted that the expression is used
The third feature information for customer's physical condition of eating includes dining customer's age data and dining customer's health data, and the dining cares for
Objective health data is the healthy number for the dining customer that the health monitoring systems that dining customer uses acquire in preset time threshold
According to dining customer's age data is the year of the dining customer recorded in the health monitoring systems that customer uses of eating
Age data.
Above-mentioned suggested design during ordering specifically includes: identifying that the dining cares for according to dining customer's health data
The physical condition of visitor, and according to the nutritional ingredient information for having selected vegetable, according to the preset battalion of physical condition for dining customer
A point proportion threshold value is formed, the vegetable searched and the nutritional ingredient information of vegetable has been selected to match, and in real time to initial recommendation menu
The vegetable of the lookup or the age situation according to dining customer's age data identification dining customer are sent, and according to having selected dish
The nutritional ingredient information of product is searched and has been selected according to the preset nutritional ingredient proportion threshold value of age situation for dining customer
The vegetable that the nutritional ingredient information of vegetable matches, and in real time to the vegetable found described in dining customer's transmission.Wherein, described
Preset nutritional ingredient proportion threshold value be the dining customer obtained according to the health monitoring systems that use of dining customer
The age data of health data and dining customer, the nutritional ingredient collocation for being used to instruct dining customer's healthy diet of preset in advance
Scheme.The fisrt feature information of the vegetable is taste information, the nutritional ingredient information of vegetable, the discount rate of vegetable of vegetable
Information is to vegetable at least one of the interface rate of related shops information.Be used to indicate dining customers' preferences second
Characteristic information includes the historical information, the historical information of collection, historical information, the dining of dining customer's transaction of dining customer's search
Customer selects at least one of the historical information of vegetable taste and the browsing information of dining customer information.
In the embodiment of the present application, the offline e menu data excavating gear can be used for according to businessman's log library
In dining customer evaluation information, obtain the positive rating information of vegetable.In addition to this, the online electronic menu generating means
It can be also used for when the second feature information for indicating dining customers' preferences and expression dining customer's physical condition according to acquisition
When third feature information carries out matching acquisition a variety of vegetables with the fisrt feature information of the vegetable of acquisition, according to offline e menu
Positive rating is greater than the vegetable of default positive rating threshold value as preferentially to dining by the positive rating for the vegetable that data mining device obtains
The vegetable of customer recommendation.In addition, the offline e menu data excavating gear can be used for according in businessman's log library
Dining customer evaluation information, the rate of gross profit information of vegetable is obtained, when special according to the second of the expression dining customers' preferences of acquisition
The third feature information of reference breath and expression dining customer's physical condition is matched with the fisrt feature information of the vegetable of acquisition,
When obtaining a variety of vegetables, according to the rate of gross profit for the vegetable that offline e menu data excavating gear obtains, rate of gross profit is greater than pre-
If the vegetable of favorable comment rate score is as preferentially to the vegetable of dining customer recommendation.
Corresponding with a kind of vegetable recommended method of above-mentioned offer, the embodiment of the present application also provides what a kind of vegetable was recommended
Electronic equipment refers to Fig. 4, for a kind of electronic equipment schematic diagram that vegetable is recommended provided by the embodiments of the present application.
The electronic equipment that vegetable described in the embodiment of the present application is recommended includes following part:
Processor 401;And
Memory 402, for storing the program of vegetable recommended method, which is powered and passes through the processor operation should
After the program of vegetable recommended method, following step is executed:
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
It should be noted that for a kind of detailed description for the electronic equipment that vegetable is recommended provided by the embodiments of the present application,
Can be with a kind of reference pair associated description of vegetable recommended method provided by the embodiments of the present application, which is not described herein again.
Corresponding with a kind of vegetable recommended method of above-mentioned offer, the embodiment of the present application also provides what a kind of vegetable was recommended
Store equipment.The storage equipment that vegetable described in the embodiment of the present application is recommended includes following part: being stored with vegetable recommended method
Program, which is run by processor, execute following step:
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
It should be noted that for a kind of detailed description for the storage equipment that vegetable is recommended provided by the embodiments of the present application,
Can be with a kind of reference pair associated description of vegetable recommended method provided by the embodiments of the present application, which is not described herein again.
Although the application is disclosed as above with preferred embodiment, it is not for limiting the application, any this field skill
Art personnel are not departing from spirit and scope, can make possible variation and modification, therefore the guarantor of the application
Shield range should be subject to the range that the claim of this application defined.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include non-temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
Claims (10)
1. a kind of vegetable recommended method characterized by comprising
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
2. vegetable recommended method according to claim 1, which is characterized in that described to be asked for the ordering for customer of dining
It asks, obtains the health data of the dining customer, comprising:
For the request of ordering of the dining customer, the identification information of the dining customer is obtained;
According to the identification information of the dining customer and the eat identification information of customer and the corresponding relationship of health data, obtain
Health data corresponding with the dining identification information of customer.
3. vegetable recommended method according to claim 1, which is characterized in that described to be asked for the ordering for customer of dining
It asks, obtains the health data of the dining customer, comprising:
For the request of ordering of the dining customer, the identification information of the dining customer is obtained;
According to the identification information of the dining customer, historical movement data, the Historical medical's health care number of the dining customer are obtained
According at least one of data;
According at least one of the dining historical movement data of customer, Historical medical's health care data data, described in generation
The health data of dining customer.
4. vegetable recommended method according to claim 1, which is characterized in that the healthy number according to the dining customer
According to vegetable feature needed for obtaining the dining customer, comprising:
According to the health data of the dining customer, the health characteristics of the dining customer are obtained;
According to it is described dining customer health characteristics and health characteristics and vegetable feature between corresponding relationship, obtain with it is described
The corresponding vegetable feature of health characteristics of dining customer;
Vegetable feature needed for vegetable feature corresponding with the dining health characteristics of customer is determined as the dining customer.
5. vegetable recommended method according to claim 1, which is characterized in that the healthy number according to the dining customer
According to vegetable feature needed for obtaining the dining customer, comprising: according to the health data and health data of the dining customer
With the corresponding relationship between vegetable feature, vegetable feature corresponding with the dining health data of customer is obtained;
Vegetable feature needed for vegetable feature corresponding with the dining health data of customer is determined as the dining customer.
6. vegetable recommended method according to claim 1, which is characterized in that the healthy number according to the dining customer
According to vegetable feature needed for obtaining the dining customer, comprising:
According to the health data of the dining customer, nutrition data needed for obtaining the dining customer;
According to nutrition data needed for the dining customer, obtain and the matched vegetable of nutrition data needed for the dining customer
Information;
Vegetable needed for being determined as the dining customer with the matched dish information of nutrition data needed for the dining customer
Feature.
7. a kind of vegetable recommendation apparatus characterized by comprising
First obtains unit, for obtaining the request of ordering of dining customer;
Second obtaining unit obtains the health data of the dining customer for the request of ordering for the dining customer;
Third obtaining unit, for the health data according to the dining customer, vegetable needed for obtaining the dining customer is special
Sign;
Selecting unit, for the vegetable feature according to needed for the dining customer, selection meets the vegetable letter of the vegetable feature
Breath;
First recommendation unit, for the dish information for meeting the vegetable feature of selection to be recommended the dining customer.
8. a kind of dish recommendation system characterized by comprising vegetable recommendation apparatus described in the claims 7.
9. a kind of electronic equipment characterized by comprising
Processor;And
Memory, for storing the program of vegetable recommended method, which is powered and passes through the processor and run the vegetable and push away
After the program for the method recommended, following step is executed:
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
10. a kind of storage equipment, which is characterized in that be stored with the program of vegetable recommended method, which is run by processor, holds
Row following step:
Obtain the request of ordering of dining customer;
For the request of ordering of the dining customer, the health data of the dining customer is obtained;
According to the health data of the dining customer, vegetable feature needed for obtaining the dining customer;
According to vegetable feature needed for the dining customer, selection meets the dish information of the vegetable feature;
The dish information for meeting the vegetable feature of selection is recommended into the dining customer.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110837552A (en) * | 2019-09-30 | 2020-02-25 | 口口相传(北京)网络技术有限公司 | Diet information recommendation method and device |
CN110874659A (en) * | 2019-10-08 | 2020-03-10 | 上海博泰悦臻网络技术服务有限公司 | Meal ordering method, meal ordering server, meal ordering terminal and storage medium |
CN110991640A (en) * | 2019-12-10 | 2020-04-10 | 珠海格力电器股份有限公司 | Method and device for determining seasoning usage amount and method and device for optimizing model |
CN111046273A (en) * | 2019-11-04 | 2020-04-21 | 深圳市三收健康管理科技有限公司 | Diet scheme recommendation method and device and terminal equipment |
CN111627525A (en) * | 2020-06-04 | 2020-09-04 | 曹庆恒 | Management method, system and equipment for diet related rules |
CN112015848A (en) * | 2020-10-21 | 2020-12-01 | 北京妙医佳健康科技集团有限公司 | Display method and device of electronic map |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101521472B1 (en) * | 2014-10-16 | 2015-05-21 | 윤민혁 | Method and apparatus for providing recommended menu information |
CN105677852A (en) * | 2016-01-07 | 2016-06-15 | 陕西师范大学 | Personalized healthy diet recommendation service method |
CN106022989A (en) * | 2016-05-30 | 2016-10-12 | 北京小米移动软件有限公司 | Dish recommending method, dish recommending device, and electronic 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 |
CN106250673A (en) * | 2016-07-20 | 2016-12-21 | 美的集团股份有限公司 | A kind of dietary recommendations continued and evaluation methodology, intelligent terminal, Cloud Server and system |
CN107390877A (en) * | 2017-08-01 | 2017-11-24 | 深圳市益廷科技有限公司 | A kind of hotel self-service method of ordering |
CN107391947A (en) * | 2017-07-31 | 2017-11-24 | 长安大学 | A kind of health diet commending system and method |
CN107633875A (en) * | 2017-09-29 | 2018-01-26 | 上海斐讯数据通信技术有限公司 | A kind of intelligent eating and drinking commending system and method |
CN107731281A (en) * | 2017-11-06 | 2018-02-23 | 北京戴纳实验科技有限公司 | A kind of method for recommending dining |
CN108352191A (en) * | 2015-12-30 | 2018-07-31 | 株式会社I-Sens | The personalized food that amount of exercise is considered for the user with diabetes recommends method |
-
2018
- 2018-09-30 CN CN201811158866.XA patent/CN109509117A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101521472B1 (en) * | 2014-10-16 | 2015-05-21 | 윤민혁 | Method and apparatus for providing recommended menu information |
CN108352191A (en) * | 2015-12-30 | 2018-07-31 | 株式会社I-Sens | The personalized food that amount of exercise is considered for the user with diabetes recommends method |
CN105677852A (en) * | 2016-01-07 | 2016-06-15 | 陕西师范大学 | Personalized healthy diet recommendation service method |
CN106022989A (en) * | 2016-05-30 | 2016-10-12 | 北京小米移动软件有限公司 | Dish recommending method, dish recommending device, and electronic 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 |
CN106250673A (en) * | 2016-07-20 | 2016-12-21 | 美的集团股份有限公司 | A kind of dietary recommendations continued and evaluation methodology, intelligent terminal, Cloud Server and system |
CN107391947A (en) * | 2017-07-31 | 2017-11-24 | 长安大学 | A kind of health diet commending system and method |
CN107390877A (en) * | 2017-08-01 | 2017-11-24 | 深圳市益廷科技有限公司 | A kind of hotel self-service method of ordering |
CN107633875A (en) * | 2017-09-29 | 2018-01-26 | 上海斐讯数据通信技术有限公司 | A kind of intelligent eating and drinking commending system and method |
CN107731281A (en) * | 2017-11-06 | 2018-02-23 | 北京戴纳实验科技有限公司 | A kind of method for recommending dining |
Non-Patent Citations (1)
Title |
---|
林远中: "《你为什么不健康》", 31 August 2011, 东方出版社 * |
Cited By (7)
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CN110837552B (en) * | 2019-09-30 | 2022-12-09 | 口口相传(北京)网络技术有限公司 | Diet information recommendation method and device |
CN110874659A (en) * | 2019-10-08 | 2020-03-10 | 上海博泰悦臻网络技术服务有限公司 | Meal ordering method, meal ordering server, meal ordering terminal and storage medium |
CN111046273A (en) * | 2019-11-04 | 2020-04-21 | 深圳市三收健康管理科技有限公司 | Diet scheme recommendation method and device and terminal equipment |
CN110991640A (en) * | 2019-12-10 | 2020-04-10 | 珠海格力电器股份有限公司 | Method and device for determining seasoning usage amount and method and device for optimizing model |
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