CN111640486A

CN111640486A - Menu recommendation method and system, electronic device and storage medium

Info

Publication number: CN111640486A
Application number: CN202010462429.8A
Authority: CN
Inventors: 季涛; 卞景富; 孟祥�; 吕秀凤
Original assignee: Hefei Hualing Co Ltd; Midea Group Co Ltd; Hefei Midea Refrigerator Co Ltd
Current assignee: Hefei Hualing Co Ltd; Midea Group Co Ltd; Hefei Midea Refrigerator Co Ltd
Priority date: 2020-05-27
Filing date: 2020-05-27
Publication date: 2020-09-08

Abstract

The application provides a menu recommendation method, a system, electronic equipment and a storage medium, wherein the method comprises the steps of receiving user information sent by a terminal, wherein the user information comprises a picture to be diagnosed of a user; determining the constitution type of a user according to user information and a preset traditional Chinese medicine constitution table; generating menu recommendation information corresponding to the constitution types according to the constitution types and a preset menu database; and sending menu recommendation information to the terminal. According to the method and the system, the terminal acquires user information including the picture to be diagnosed to the server, the server recommends the menu which accords with the physique type of the user for the user according to the user information, and the recommended menu comprises the menu of the food materials stored by the user at present and is arranged in front of the user, so that the user can cook the food materials owned by the user according to the recommended menu. The server can also recommend the menu according to factors such as user preference, cuisine, current times and the like, so that the recommended menu not only accords with the physical and taste preference of the user, but also is more beneficial to the physical health of the user.

Description

Menu recommendation method and system, electronic device and storage medium

Technical Field

The application belongs to the technical field of household appliances, and particularly relates to a menu recommendation method and system, an electronic device and a storage medium.

Background

With the improvement of the living standard of people and the development of the intellectualization of electric appliances, people have higher and higher intellectualization demand on refrigerators, and the refrigerators with the health management function are promoted.

In the related technology, a refrigerator food health management system is provided, wherein a human-computer interaction module on a refrigerator is used for receiving health information input by a user, automatically preparing dishes according to the health information and a food therapy health-preserving relational database, and outputting a health menu.

However, the health information input by the user has strong subjectivity, and the recipe recommended according to the health information is poor in accuracy and is difficult to be really suitable for the physical condition of the user.

Disclosure of Invention

The application provides a menu recommending method, a system, electronic equipment and a storage medium, wherein a server determines the physique type of a user according to a preset traditional Chinese medicine physique table and user information comprising a picture to be diagnosed, and recommends a menu corresponding to the physique type of the user, so that the recommended menu is more in line with the physique of the user.

The embodiment of the first aspect of the application provides a menu recommendation method, which is applied to a server and comprises the following steps of;

receiving user information sent by a terminal, wherein the user information comprises a picture to be diagnosed of a user;

determining the constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table;

generating menu recommendation information corresponding to the constitution types according to the constitution types and a preset menu database;

and sending the menu recommendation information to the terminal.

In some embodiments of the present application, the determining the type of the body constitution of the user according to the user information and a preset traditional Chinese medicine body constitution table includes:

extracting health characteristic information of the user from the picture to be diagnosed;

inquiring constitution description information matched with the health characteristic information in a preset traditional Chinese medicine constitution table;

acquiring a constitution type corresponding to the matched constitution description information from the preset traditional Chinese medicine constitution table;

determining the obtained constitution type as the constitution type of the user.

In some embodiments of the present application, the user information further comprises pulse diagnosis data of the user; determining the constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table, wherein the determining comprises the following steps:

determining a pulse condition value interval to which a pulse condition parameter value included in the pulse diagnosis data belongs;

acquiring the matched constitution description information and the determined constitution type corresponding to the pulse condition numerical value interval from the preset traditional Chinese medicine constitution table;

In some embodiments of the present application, the user information further includes food material information, and after the generating of the recipe recommendation information corresponding to the type of physical constitution, the method further includes:

distributing a food material preference coefficient for each recipe according to the food material type contained in each recipe included in the recipe recommendation information, the food material type included in the food material information and the optimal eating period corresponding to each food material;

and sequencing each menu according to the food material preference coefficient corresponding to each menu.

In some embodiments of the present application, the user information further includes a user identifier, and after the generating of the recipe recommendation information corresponding to the type of physical fitness, the method further includes:

acquiring user preference information and geographical position information corresponding to the user identification;

according to the user preference information, a preference coefficient is distributed to each menu included in the menu recommendation information;

respectively distributing a region preference coefficient to each menu according to the geographical position information;

respectively distributing a season preference coefficient for each menu according to the current season, the geographic position information and the food material types contained in each menu;

respectively calculating a final optimization coefficient corresponding to each menu according to at least one of the food material optimization coefficient, the preference optimization coefficient, the region optimization coefficient and the time-of-day optimization coefficient corresponding to each menu;

and sequencing each menu according to the final preference coefficient corresponding to each menu.

In some embodiments of the present application, after the sending the recipe recommendation information to the terminal, the method further includes:

receiving menu confirmation information sent by the terminal, wherein the menu confirmation information comprises at least one menu selected by a user from the menu recommendation information;

and analyzing the user preference according to all the menus selected by the user to obtain user preference information corresponding to the user.

The embodiment of the second aspect of the application provides a menu recommendation method, which is applied to a terminal and comprises the following steps of;

acquiring user information, wherein the user information comprises a picture to be diagnosed of a user;

sending the user information to a server;

and receiving menu recommendation information which is sent by the server and corresponds to the physique type of the user, wherein the physique type is determined by the server according to the user information and a preset traditional Chinese medicine physique table.

In some embodiments of the present application, the obtaining user information includes:

acquiring pulse diagnosis data of a user through a pulse condition detection device; shooting a picture to be diagnosed of the user through a first shooting device; acquiring food material information corresponding to the user;

and determining the user identification, the food material information, the pulse diagnosis data and the picture to be diagnosed corresponding to the user as the user information corresponding to the user.

In some embodiments of the application, the obtaining of the food material information corresponding to the user includes:

shooting the currently stored food material through a second shooting device arranged in a food material storage room corresponding to the terminal to obtain a food material picture; determining the food material picture as food material information corresponding to the user; and/or the presence of a gas in the gas,

collecting food material voice information of a user through a voice interaction device, and determining the food material voice information as food material information corresponding to the user; and/or the presence of a gas in the gas,

reading radio frequency tag information corresponding to food materials through a radio frequency identification device, and determining the radio frequency tag information as the food material information corresponding to the user.

In some embodiments of the present application, after receiving the recipe recommendation information corresponding to the type of physical fitness of the user sent by the server, the method further includes:

displaying the menu recommendation information through a display device;

and sending menu confirmation information to the server, wherein the menu confirmation information comprises at least one menu selected by the user from the menu recommendation information.

The embodiment of the third aspect of the application provides a menu recommendation system, which comprises a terminal and a server;

the terminal is used for acquiring the information to be diagnosed of the user, and the user information comprises a picture to be diagnosed of the user; sending the user information to the server; receiving menu recommendation information which is sent by the server and corresponds to the physique type of the user, wherein the physique type is determined by the server according to the user information and a preset traditional Chinese medicine physique table;

the server is used for receiving user information sent by the terminal, wherein the user information comprises a picture to be diagnosed of a user; determining the constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table; generating menu recommendation information corresponding to the constitution types according to the constitution types and a preset menu database; and sending the menu recommendation information to the terminal.

An embodiment of a fourth aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of the first aspect or the second aspect.

In some embodiments of the present application, the electronic device is a refrigerator for performing the method of the second aspect.

An embodiment of a fifth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, the program being executable by a processor to implement the method of the first or second aspect.

The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:

in the embodiment of the application, the terminal acquires the user information including the picture to be diagnosed of the user to the server, the server determines the physique type of the user according to the picture to be diagnosed of the user, and recommends the menu which accords with the physique type of the user for the user, so that the recommended menu accords with the physique of the user better.

Furthermore, the server can also recommend the menu according to the food material information corresponding to the food materials owned by the user, the user preference, the cuisine, the current order and other factors, so that the recommended menu not only accords with the physique and taste preference of the user, but also enables the user to cook according to the recommended menu by utilizing the food materials owned by the user, and is more beneficial to the body health of the user.

Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings.

In the drawings:

FIG. 1 is a schematic diagram of a menu recommendation system provided by an embodiment of the present application;

fig. 2 is a schematic signaling interaction diagram illustrating a menu recommendation method according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application;

FIG. 4 is a schematic diagram of another recipe recommendation system provided by an embodiment of the present application;

FIG. 5 is a flow chart illustrating a menu recommendation method provided by an embodiment of the present application;

FIG. 6 is a flow chart illustrating a menu recommendation method provided by an embodiment of the present application;

fig. 7 is a schematic structural diagram illustrating a menu recommending apparatus according to an embodiment of the present application;

fig. 8 is a schematic structural diagram illustrating a menu recommending apparatus according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 10 is a schematic diagram of a storage medium provided in an embodiment of the present application.

Detailed Description

Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.

A menu recommendation method, a system, an electronic device, and a storage medium according to embodiments of the present application are described below with reference to the drawings.

The embodiment of the application provides a menu recommendation method, and a menu recommendation system based on the method is shown in fig. 1 and comprises a server and a terminal. Wherein, the terminal is connected with the server through the network communication. The terminal can be a refrigerator, a mobile phone, a computer and the like. The method comprises the steps of collecting user information corresponding to a user through a terminal and sending the user information to a server. And the server recommends the menu which accords with the physique of the user for the user according to the user information.

Referring to fig. 2, the method specifically includes:

step 101: the terminal acquires user information, wherein the user information comprises a picture to be diagnosed of a user.

The pictures to be diagnosed comprise facial pictures, tongue pictures, nail pictures and the like of the user. The user information can also comprise user identification, pulse diagnosis data and food material information corresponding to the user. The pulse diagnosis data includes the body temperature, blood pressure, heart rate, blood sugar and other pulse parameters of the user. The food material information includes information such as the type and quantity of food materials currently owned by the user, for example, the type and quantity of food materials currently stored in a food material storage chamber of the user, which may be a refrigerating chamber and a freezing chamber of a refrigerator.

As shown in fig. 3, the terminal includes a main controller, a pulse diagnosis device, a communication unit, a camera and a power supply. Wherein, the pulse diagnosis device, the communication unit, the camera and the power supply are all connected with the main controller. The terminal is connected with the server through the communication unit.

The pulse diagnosis device comprises a pulse condition detection device and a first shooting device. The pulse condition detection device can comprise a sphygmomanometer, a heart rate detection device, a microcirculation detection device and the like. The pulse condition detection device can be integrated on the terminal, or can be independent of the terminal, and can be in data communication with the terminal in a wireless or wired mode. Alternatively, the pulse detector may be independent of the terminal, and the terminal may coexist with the terminal in a home device group to obtain the data of the pulse detector in a data sharing manner. The first shooting device can be a camera arranged on the terminal or a camera which is independent of the terminal and is in communication connection with the terminal.

The terminal collects the pulse-taking data of the user through a pulse condition detection device included by the pulse-taking device, and the pulse-taking data comprises the blood pressure, the heart rate, the microcirculation and other data of the user. And the terminal shoots the picture to be diagnosed of the user through a first shooting device included in the pulse diagnosis device. Specifically, a face picture, a tongue picture, a nail picture and the like of the user are shot through the first shooting device, and the shot face picture, tongue picture, nail picture and the like are determined as the picture to be diagnosed of the user. In the embodiment of the application, the user information may only include the picture to be diagnosed of the user, or may include the pulse-taking data and the picture to be diagnosed of the user.

In the embodiment of the present application, the terminal may be a food storage device for storing food, for example, the terminal may be a refrigerator, a freezer, or other devices for storing food. One or more second shooting devices are arranged in a storage chamber of the terminal for storing food materials, and the food materials stored in the storage chamber at present are shot through the second shooting devices to obtain food material pictures. Wherein the second camera may be a camera in the terminal structure shown in fig. 3. Alternatively, the terminal may be a device such as a microwave oven, an oven, or a mobile phone which does not have a function of storing food materials, in which case the terminal may be connected to a food material storage device (such as a refrigerator) for storing food materials through a communication unit shown in fig. 3, and the food material storage device may capture a food material picture of the currently stored food material through a second capturing device disposed in the storage chamber and transmit the food material picture to the terminal. The terminal obtains the food material picture through the method, and the food material picture is used as the food material information corresponding to the user.

The terminal can be further provided with a voice interaction device, and when a user places food materials in a storage chamber of the food material storage device, the user can speak out the types and the quantity of the stored food materials. Or the user can speak the type and quantity of the food taken out by the user when taking out the food from the storage room. The terminal collects the words spoken by the user through the voice interaction device to serve as food material voice information, and the collected food material voice information is determined to serve as food material information corresponding to the user.

In the embodiment of the application, the terminal can be further provided with a radio frequency identification device, the food material is provided with tags for storing the type and the quantity of the food material, and the type and the quantity of the food material stored in the tags are called as radio frequency tag information corresponding to the food material. The terminal reads the radio frequency tag information stored in the tag on the food material stored currently through the radio frequency identification device, and determines the read radio frequency tag information as the food material information corresponding to the user.

The terminal can also display an interactive interface through the display screen, and the user can select the type and the number of the food materials put into the storeroom or taken out from the storeroom through the interactive interface, or the user can input the type and the number of the food materials put into the storeroom or taken out from the storeroom in the interactive interface. The terminal obtains information such as the type and the quantity of food materials selected or input by the user from the interactive interface, and the information is determined as food material information corresponding to the user.

In this embodiment of the application, the terminal may obtain the food material information corresponding to the user through one or more of the second shooting device, the voice interaction device, the radio frequency identification device, and the display screen.

In the embodiment of the application, the user information includes a picture to be diagnosed of the user, and besides the picture to be diagnosed, the user information may further include at least one of a user identifier corresponding to the user, the pulse diagnosis data, and food material information. Wherein the user identification may be pre-stored in the terminal.

Step 102: and the terminal sends the user information to the server.

After obtaining the user information in the manner of step 101, the terminal edits and packages the obtained user information through the main controller shown in fig. 3, and then sends the packaged data packet to the server through the communication unit.

Step 103: and the server receives the user information sent by the terminal.

And the server receives the packed data packet sent by the terminal, analyzes the data packet and obtains user information, wherein the user information comprises the picture to be diagnosed of the user.

Step 104: and the server determines the constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table.

According to the embodiment of the application, the server analyzes the physique type of the user in a traditional Chinese medicine syndrome differentiation mode according to the user information corresponding to the user. The server is preset with a preset traditional Chinese medicine constitution table, and the preset traditional Chinese medicine constitution table comprises a plurality of constitution types and constitution description information corresponding to each constitution type. Wherein, the constitution types can be 9 kinds of constitution of traditional Chinese medicine, namely neutral constitution, qi deficiency constitution, yang deficiency constitution, yin deficiency constitution, phlegm dampness constitution, damp-heat constitution, blood stasis constitution, qi stagnation constitution and specific endowment constitution. The constitution description information corresponding to the constitution type includes the facial color, tongue fur color, nail shape, etc. corresponding to the constitution type.

The server carries out image processing on the picture to be diagnosed included in the user information, and extracts the health characteristic information of the user from the picture to be diagnosed, wherein the health characteristic information includes information such as facial color, tongue fur color, nail color and nail shape of the user. The server determines the physique type of the user according to a preset traditional Chinese medicine physique table and the health characteristic information of the user. Specifically, the server queries physique description information matched with the health characteristic information of the user in a preset traditional Chinese medicine physique table according to information such as facial color, tongue fur color, nail color and nail shape included in the health characteristic information of the user, acquires the physique type corresponding to the matched physique description information from the preset traditional Chinese medicine physique table, and determines the acquired physique type as the physique type corresponding to the user.

In other embodiments of the present application, the user information includes a to-be-diagnosed picture and pulse-taking data of the user. The preset traditional Chinese medicine constitution table can also comprise corresponding relations of constitution description information, pulse condition numerical intervals and constitution types. The pulse condition value interval corresponding to the constitution type may include a body temperature interval, a blood pressure interval, a heart rate interval, a blood sugar interval, etc. according to the constitution type. The server extracts health characteristic information of the user from the picture to be diagnosed, inquires physique description information matched with the health characteristic information in a preset traditional Chinese medicine physique table, and determines a pulse condition numerical value interval to which pulse condition parameter values included in pulse diagnosis data of the user belong; acquiring matched constitution description information and a constitution type corresponding to the determined pulse condition numerical interval from a preset traditional Chinese medicine constitution table; and determining the acquired constitution type as the constitution type of the user.

Step 105: and the server generates menu recommendation information corresponding to the physique type of the user according to the physique type of the user and a preset menu database, and sends the menu recommendation information to the terminal.

The menu recommendation information comprises at least one menu corresponding to the physique type of the user. A menu database is preset in the server and comprises a large number of menus, and each menu is labeled with the constitution type suitable for the menu. The server acquires all recipes corresponding to the constitution types of the users from a preset recipe database according to the constitution types of the users, and can determine the acquired recipes as recipe recommendation information corresponding to the constitution types of the users. The menu is recommended to the user according to the physique type of the user, so that the recommended menu can better accord with the physique of the user, and the health of the user is more benefited.

In the embodiment of the application, the server can also recommend the menu to the user according to the physique type of the user and the food material information corresponding to the user. Specifically, the server allocates a food material preference coefficient to each recipe according to the food material type included in each recipe included in the recipe recommendation information, the food material type included in the food material information corresponding to the user, and the optimal eating period corresponding to each food material; and sequencing each menu included in the menu recommendation information according to the food material preference coefficient corresponding to each menu.

In which, each time a user puts a new food material into the storage room or takes out a food material from the storage room, the terminal sends food material information to the server, and it can be known from step 101 that the food material information may be food material pictures, food material voice information and/or radio frequency tag information. The server can determine the type and the number of food materials contained in the food material information transmitted by the terminal each time by analyzing and processing the food material information in the forms. According to the type and the quantity of the food materials contained in the continuous food material information, the server can determine the change condition of the food materials stored by the user, and determine the type, the quantity and the stored time of the currently stored food materials. In order to prevent the food materials from being deteriorated due to an excessively long storage time, the server stores the maximum storage time corresponding to each food material in advance. And after the server determines the stored time of each food material currently stored, calculating the difference between the longest stored time corresponding to the food material and the stored time, and taking the difference as the optimal eating period corresponding to the food material.

The operation of distributing the food material preference coefficient to each menu included in the menu recommendation information by the server is specifically that the server compares the food material type included in each menu with the food material type included in the food material information corresponding to the user, determines the menu including the food material type included in the food material information, and distributes the food material preference coefficient to the determined menu according to the optimal eating period corresponding to the food material type included in the determined menu. Wherein the shorter the optimal eating period is, the larger the optimization coefficient of the distributed food material is. For a recipe not containing the food material types included in the food material information, a food material preference coefficient with a preset numerical value may be assigned to the recipe, and the preset numerical value may be a smaller numerical value, such as 0 or 0.001. And the server sorts each menu included by the menu recommendation information according to the food material preference coefficient corresponding to each menu and the sequence of the food material preference coefficients from large to small. And then the server sends the menu recommendation information to the terminal. And the terminal displays the menu recommendation information through a display screen.

Because each menu in the menu recommendation information is a menu according with the constitution type of the user, the recommended menu is more beneficial to the physical health of the user. And the food materials contained in the menu arranged in the front in the menu recommendation information are all the food materials stored by the user at present, so that the user can conveniently cook according to the recommended menu by using the existing food materials. In the recipe recommendation information, the recipe with the short best eating time of the food materials is arranged in front, so that the user can eat the food materials with the short best eating time first, and the condition that the food materials are deteriorated due to overlong storage time is reduced.

In the process of generating the menu recommendation information, besides according to the constitution type and the food material information of the user, the aspects of taste preference of the user, the cuisine of the food material, the season and the like can be combined, so that the recommended menu more accords with the taste of the user, and the menu according with the season is recommended as much as possible.

In the embodiment of the application, the server stores account information corresponding to each user, and the account information comprises user identification of the user, user preference information, geographical location information, historical data related to a menu recommended to the user in the past, and the like. The user preference information comprises each food material type preferred by the user and the preference degree corresponding to each food material type. The geographical location information is the user's place of residence. And the server acquires corresponding user preference information and geographic position information from the corresponding account information according to the user identification included in the user information. For the geographical position information, the terminal can also send a terminal identifier to the server, and the server positions the geographical position of the terminal according to the terminal identifier. Or, the terminal may send geographical location information preset by itself to the server. Or, the terminal can locate the current geographic position through a positioning system arranged by the terminal and send the current geographic position to the server.

And after the server obtains the user preference information corresponding to the user, respectively distributing preference coefficients for each menu included in the menu recommendation information according to the user preference information. And the server determines a menu containing the food materials preferred by the user from each menu corresponding to the physique type of the user according to each food material included in the user preference information. And according to the preference degree corresponding to each food material preferred by the user, distributing preference coefficients for each menu. The higher the preference degree corresponding to the contained food materials is, the higher the preference coefficient is distributed. For the recipe of the food material not containing the user preference, a preset preference coefficient, such as 0 or 0.001, may be assigned thereto.

And the server allocates a region preference coefficient to each menu according to the obtained geographical position information. Due to the fact that the tastes of users in different geographic positions are greatly different, people in Sichuan prefer to eat Sichuan dishes, people in Shandong prefer to eat Lucai dishes and the like. Therefore, the server determines the cuisine corresponding to the geographical position information according to the geographical position information corresponding to the user. And for each menu corresponding to the constitution type of the user, the server respectively determines whether each menu belongs to the determined menu, and distributes a region preference coefficient to each menu according to the determination result. And distributing a region preference coefficient with a certain numerical value, such as 5 or 10, for the menu meeting the determined menu. And for the menu which does not conform to the above-mentioned cuisine, a preset regional preference coefficient is distributed, such as 0 or 0.001.

The server also distributes a season preference coefficient for each menu according to the current season, the geographic position information and the food material types contained in each menu. Because the food materials conforming to the season are more beneficial to physical health, whether the food materials contained in each menu are the season food materials in the current season at the geographic position is determined according to the current season, the geographic position of the user and the food material types contained in each menu, and the season preference coefficient is distributed to each menu according to the determination result. For the dishes conforming to the season, a certain numerical value season preference coefficient, such as 5 or 10, is allocated. And for the menu which does not conform to the season, a preset season preference coefficient is distributed, such as 0 or 0.001.

After the food material preference coefficient, the preference coefficient, the region preference coefficient and the hour preference coefficient are distributed to each menu in the above mode, the server respectively calculates the final preference coefficient corresponding to each menu according to at least one of the food material preference coefficient, the preference coefficient, the region preference coefficient and the hour preference coefficient corresponding to each menu. Specifically, a product of at least one of the food material preference coefficient, the preference coefficient, the region preference coefficient, and the season preference coefficient corresponding to each recipe may be calculated, and the obtained product is used as a final preference coefficient corresponding to the recipe. And then, according to the final preference coefficient corresponding to each menu, sequencing each menu included in the menu recommendation information according to the sequence from large to small of the final preference coefficient. And then the server sends the menu recommendation information to the terminal. And the terminal displays the menu recommendation information through a display screen.

In the embodiment of the application, the type of the optimization coefficient allocated to the recipe is not limited, and one or more of the food material optimization coefficient, the preference optimization coefficient, the region optimization coefficient and the season optimization coefficient may be allocated, and may be determined according to the requirement in practical application.

Step 106: and the terminal receives menu recommendation information which is sent by the server and corresponds to the physique type of the user.

Wherein the physique type of the user is determined by the server according to the operation of step 104, based on the user information and the preset traditional Chinese medicine physique table.

And the terminal receives the menu recommendation information recommended by the server and displays the menu recommendation information through the display device so that the user can select the menu to cook according to the menu recommendation information. In the embodiment of the application, the menu recommendation information can be recommended to the user once in the morning, in the evening. The user can select at least one menu by clicking from menu recommendation information displayed by the terminal and cook according to the selected menu.

And when the terminal detects that the menu in the menu recommendation information is clicked and confirmed by the user, the menu confirmation information is sent to the server, and the menu confirmation information comprises at least one menu selected by the user from the menu recommendation information. The server receives the menu confirmation information sent by the terminal, performs user preference analysis according to all menus selected by the user to obtain user preference information corresponding to the user, and stores the user preference information in a user account of the user, so that menus conforming to the taste preference of the user can be recommended to the user according to the user preference information in the following. In this embodiment of the application, the server may further store the recipes included in the recipe confirmation information, and analyze the user preference information corresponding to the user according to the stored recipes selected by all the users every preset time period. The preset time period may be one week or one month, etc.

As shown in fig. 4, the terminal includes two modules, a data acquisition module, a content display module and an interaction module. The data acquisition module is used for acquiring the health state and the motion state of family members. The health condition includes a physical examination report of the user, detection data of devices such as a finger pulse instrument and a weight scale, and the like. The exercise condition includes exercise preference information of the user, exercise bracelet, detection data of exercise application program, and the like. The data acquisition module of the terminal also acquires the food material information currently stored by the user through image recognition, voice interaction, radio frequency recognition and the like. The terminal can also acquire the geographical position information of the user and the environmental information of weather, air pollution and the like of the corresponding position. And the terminal sends the acquired data to the server through the data acquisition module. And the server recommends menu recommendation information, healthy meals and exercise schemes for the user according to the data. The terminal displays the menu recommendation information, the healthy meal and the exercise scheme through the content display and interaction module, and feeds back the confirmation of the user on the menu recommendation information to the server through the information.

The server has the functions of storage and operation, calculates the development trend of the health of the user according to personal historical data recorded in the account information of the user, and adjusts recommended food materials and sports. Meanwhile, the server has a big data analysis function, and the relevance and the influence degree of various food materials and health indexes are analyzed according to the recorded data, so that more reasonable healthy diet recommendation is made for different crowds.

In the embodiment of the application, the terminal can acquire the pulse-taking data of the user through pulse-taking devices such as a pulse-taking instrument, a weight scale, a sphygmomanometer and the like, and can also scan a physical examination report of the user to acquire the pulse-taking data of the user. And acquiring food material information corresponding to the food materials currently stored by the user through a camera, a voice interaction device or a radio frequency identification device and the like. The terminal sends the acquired information to the server, the server recommends the menu which accords with the physique type of the user for the user according to the information, and the recommended menu comprises the menu of the food materials currently stored by the user and is arranged in front, so that the user can cook the food materials owned by the user according to the recommended menu. And the menu recommended by the server can also consider the factors of the preference, the cuisine, the current times and the like of the user, so that the recommended menu not only accords with the constitution of the user, but also accords with the taste of the user and is more suitable for the body health of the user.

An embodiment of the present application provides a menu recommendation method, where an execution subject of the method is a server in the foregoing embodiment, see fig. 5, and the method specifically includes the following steps:

step 501: and receiving user information sent by the terminal, wherein the user information comprises a picture to be diagnosed of a user.

Step 502: and determining the constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table.

The server is preset with a preset traditional Chinese medicine constitution table, and the preset traditional Chinese medicine constitution table comprises a plurality of constitution types and constitution description information corresponding to each constitution type. The constitution description information corresponding to the constitution type includes the facial color, tongue fur color, nail shape, etc. corresponding to the constitution type.

The server extracts health characteristic information of the user from the picture to be diagnosed, wherein the picture to be diagnosed comprises the user information, and the health characteristic information comprises information such as facial color, tongue fur color, nail color and nail shape of the user; the server inquires physique description information matched with the health characteristic information of the user from a preset traditional Chinese medicine physique table according to information such as facial color, tongue fur color, nail color and nail shape included by the health characteristic information of the user, acquires the physique type corresponding to the matched physique description information from the preset traditional Chinese medicine physique table, and determines the acquired physique type as the physique type corresponding to the user.

Step 503: and generating menu recommendation information corresponding to the physique type of the user according to the physique type of the user and a preset menu database, and sending the menu recommendation information to the terminal.

The method comprises the steps of obtaining at least one menu corresponding to the constitution type of a user from a preset menu database, determining the obtained menu as menu recommendation information corresponding to the constitution type of the user, and sending the menu recommendation information to a terminal. The menu is recommended to the user according to the physique type of the user, so that the recommended menu can better accord with the physique of the user, and the health of the user is more benefited.

The server can also recommend the menu to the user according to the physique type of the user and the food material information corresponding to the user. Specifically, the server allocates a food material preference coefficient to each recipe according to the food material type included in each recipe included in the recipe recommendation information, the food material type included in the food material information corresponding to the user, and the optimal eating period corresponding to each food material; acquiring corresponding user preference information and geographic position information according to a user identifier included in the user information; respectively distributing preference coefficients for each menu according to the preference information of the user; respectively distributing a region preference coefficient for each menu according to the geographical position information; respectively distributing a season preference coefficient for each menu according to the current season, the geographic position information and the food materials contained in each menu; respectively calculating a final optimization coefficient corresponding to each menu according to at least one of the food material optimization coefficient, the preference optimization coefficient, the region optimization coefficient and the season optimization coefficient corresponding to each menu; and sequencing each menu included in the menu recommendation information according to the final preference coefficient corresponding to each menu. And then the server sends the menu recommendation information to the terminal. And the terminal displays the menu recommendation information through a display screen.

After the terminal receives and displays the menu recommendation information recommended by the server, the user can select one or more menus in the menu recommendation information by clicking, the terminal sends menu confirmation information to the server, and the menu confirmation information comprises one or more menus selected by the user from the menu recommendation information. The server receives the menu confirmation information sent by the terminal, performs user preference analysis according to all menus selected by the user to obtain user preference information corresponding to the user, and stores the user preference information in a user account of the user, so that menus conforming to the taste preference of the user can be recommended to the user according to the user preference information in the following. In this embodiment of the application, the server may further store the recipes included in the recipe confirmation information, and analyze the user preference information corresponding to the user according to the stored recipes selected by all the users every preset time period. The preset time period may be one week or one month, etc.

In the embodiment of the present application, the operations performed by the server and the effects that can be obtained by the server are the same as those related to the server in the above embodiment, and are not described herein again.

The embodiment of the application provides a menu recommendation method, the main execution body of the method is the terminal in the embodiment, referring to fig. 6, the method specifically includes the following steps;

step 601: and acquiring user information, wherein the user information comprises a picture to be diagnosed of a user.

Pulse diagnosis data of a user are collected through a pulse condition detection device included in the pulse diagnosis device; the first shooting device included by the pulse diagnosis device shoots a picture to be diagnosed of the user. Shooting the currently stored food material through a second shooting device arranged in a food material storage room corresponding to the terminal to obtain a food material picture; determining the food material picture as food material information corresponding to the food material currently stored by the user; and/or collecting the food material voice information of the user through a voice interaction device, and determining the food material voice information as the food material information corresponding to the food material currently stored by the user; and/or reading radio frequency tag information corresponding to the currently stored food materials through a radio frequency identification device, and determining the radio frequency tag information as food material information corresponding to the currently stored food materials of the user.

The user information comprises the picture to be diagnosed, and besides the picture to be diagnosed, the user information can also comprise at least one of the user identification, the food material information and the pulse diagnosis data.

Step 602: and sending the user information to the server.

Step 603: and receiving menu recommendation information which is sent by the server and corresponds to the physique type of the user, wherein the physique type of the user is determined by the server according to the user information and a preset traditional Chinese medicine physique table.

Displaying menu recommendation information through a display device; and sending menu confirmation information to the server, wherein the menu confirmation information comprises one or more menus selected by the user from the menu recommendation information, so that the server can perform big data analysis according to the menu selected by the user to obtain the user preference information of the user.

In the embodiment of the present application, the operations performed by the terminal and the effects that can be obtained by the terminal are the same as those related to the terminal in the above embodiment, and are not described herein again.

An embodiment of the present application further provides a device for recommending a menu, where the device is configured to perform operations performed by the server in the foregoing embodiment, with reference to fig. 7, and the device includes:

a receiving module 701, configured to receive user information sent by a terminal, where the user information includes a picture to be diagnosed of a user;

a constitution determining module 702, configured to determine a constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table;

the menu generating module 703 is configured to generate menu recommendation information corresponding to the user's physique type according to the user's physique type and a preset menu database;

a sending module 704, configured to send the recipe recommendation information to the terminal.

The constitution determining module 702 is configured to extract health characteristic information of the user from the picture to be diagnosed; acquiring constitution types corresponding to the matched constitution description information in a preset traditional Chinese medicine constitution table; and determining the constitution type of the user according to the acquired constitution type.

The user information also comprises pulse diagnosis data of the user; correspondingly, the constitution determining module 702 is configured to extract health characteristic information of the user from the picture to be diagnosed; inquiring constitution description information matched with the health characteristic information in a preset traditional Chinese medicine constitution table; determining a pulse condition value interval to which a pulse condition parameter value included in pulse diagnosis data belongs; acquiring matched constitution description information and a constitution type corresponding to the determined pulse condition numerical interval from a preset traditional Chinese medicine constitution table; and determining the acquired constitution type as the constitution type of the user.

The user information further includes food material information, and the apparatus further includes: the sorting module is used for respectively distributing food material preference coefficients to each menu according to the food material types contained in each menu included by the menu recommendation information, the food material types included by the food material information and the optimal eating time limit corresponding to each food material; and sequencing each menu according to the food material preference coefficient corresponding to each menu.

The user information also comprises a user identifier, and the sorting module is also used for acquiring user preference information and geographical position information corresponding to the user identifier; according to the user preference information, respectively distributing preference coefficients for each menu included in the menu recommendation information; respectively distributing a region preference coefficient for each menu according to the geographical position information; respectively distributing a season preference coefficient for each menu according to the current season, the geographic position information and the food material types contained in each menu; respectively calculating a final optimization coefficient corresponding to each menu according to at least one of the food material optimization coefficient, the preference optimization coefficient, the region optimization coefficient and the season optimization coefficient corresponding to each menu; and sequencing each menu according to the final preference coefficient corresponding to each menu.

The device also includes: the preference analysis module is used for receiving menu confirmation information sent by the terminal, wherein the menu confirmation information comprises at least one menu selected by a user from the menu list; and analyzing the user preference according to all the menus selected by the user to obtain the user preference information corresponding to the user.

The recipe recommending method and the recipe recommending device provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as those of the recipe recommending method, the recipe recommending method and the recipe recommending device provided by the embodiment of the application.

The embodiment of the present application further provides a menu recommendation device, where the device is configured to execute operations executed by a terminal in the menu recommendation method according to the embodiment, referring to fig. 8, and the device includes;

an obtaining module 801, configured to obtain user information, where the user information includes a picture to be diagnosed of a user;

a sending module 802, configured to send user information to a server;

the receiving module 803 is configured to receive the recipe recommendation information sent by the server and corresponding to the physique type of the user, where the physique type of the user is determined by the server according to the user information and a preset traditional Chinese medicine physique table.

The acquiring module 801 is configured to acquire pulse diagnosis data of a user through a pulse condition detecting device; shooting a picture to be diagnosed of a user through a first shooting device; acquiring food material information corresponding to a user; and determining the user identification, the food material information, the pulse diagnosis data and the picture to be diagnosed corresponding to the user as the user information corresponding to the user.

The obtaining module 801 is further configured to shoot the currently stored food material through a second shooting device arranged in a food material storage room corresponding to the terminal, so as to obtain a food material picture; determining the food material picture as food material information corresponding to the user; and/or the voice interaction device is used for acquiring the food material voice information of the user and determining the food material voice information as the food material information corresponding to the user; and/or the radio frequency identification device is used for reading the radio frequency tag information corresponding to the food material and determining the radio frequency tag information as the food material information corresponding to the user.

The device also includes: the display module is used for displaying the menu recommendation information through the display device;

the sending module 802 is further configured to send recipe confirmation information to the server, where the recipe confirmation information includes at least one recipe selected by the user from the recipe list.

The embodiment of the application also provides a menu recommendation system, which is shown in fig. 1 and comprises a terminal and a server;

the terminal is used for acquiring user information, and the user information comprises a picture to be diagnosed of a user; sending user information to a server; receiving menu recommendation information which is sent by a server and corresponds to the physique type of a user, wherein the physique type of the user is determined by the server according to user information and a preset traditional Chinese medicine physique table;

the server is used for receiving the user information sent by the terminal; determining the constitution type of a user according to user information and a preset traditional Chinese medicine constitution table; generating menu recommendation information corresponding to the constitution types according to the constitution types and a preset menu database; and sending menu recommendation information to the terminal.

The menu recommending system and the menu recommending method provided by the embodiment of the application are based on the same inventive concept and have the same beneficial effects as those of the menu recommending system, the menu recommending system and the menu recommending method.

The embodiment of the present application further provides an electronic device corresponding to the recipe recommendation method provided in the foregoing embodiment, so as to execute the recipe recommendation method, where the electronic device may be a refrigerator and a server.

Please refer to fig. 9, which illustrates a schematic diagram of an electronic device according to some embodiments of the present application. As shown in fig. 9, the electronic apparatus 2 includes: the system comprises a processor 200, a memory 201, a bus 202 and a communication interface 203, wherein the processor 200, the communication interface 203 and the memory 201 are connected through the bus 202; the memory 201 stores a computer program that can be executed on the processor 200, and the processor 200 executes the recipe recommendation method provided in any of the foregoing embodiments when executing the computer program.

The Memory 201 may include a high-speed Random Access Memory (RAM) and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 203 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.

Bus 202 can be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used for storing a program, and the processor 200 executes the program after receiving an execution instruction, and the recipe recommendation method disclosed in any of the foregoing embodiments of the present application may be applied to the processor 200, or implemented by the processor 200.

The processor 200 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 200. The Processor 200 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201 and completes the steps of the method in combination with the hardware thereof.

The electronic equipment provided by the embodiment of the application and the menu recommending method provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as the adopted, operated or realized method.

Referring to fig. 10, the computer readable storage medium is an optical disc 30, and a computer program (i.e., a program product) is stored thereon, and when being executed by a processor, the computer program executes the recipe recommendation method provided by any of the foregoing embodiments.

It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory, or other optical and magnetic storage media, which are not described in detail herein.

The computer-readable storage medium provided by the above-mentioned embodiment of the present application and the recipe recommendation method provided by the embodiment of the present application have the same beneficial effects as the method adopted, run or implemented by the application program stored in the computer-readable storage medium.

It should be noted that:

the algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. In addition, this application is not directed to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the present application as described herein, and any descriptions of specific languages are provided above to disclose the best modes of the present application.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the creation apparatus of a virtual machine according to embodiments of the present application. The present application may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A menu recommendation method is applied to a server and comprises the following steps;

and sending the menu recommendation information to the terminal.

2. The method of claim 1, wherein said determining the type of body constitution of the user based on the user information and a preset traditional Chinese medicine body constitution table comprises:

3. The method of claim 1, wherein the user information further comprises pulse diagnosis data of the user; determining the constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table, wherein the determining comprises the following steps:

4. The method of claim 1, wherein the user information further comprises food material information, and after the generating of the recipe recommendation information corresponding to the body type, the method further comprises:

5. The method according to claim 4, wherein the user information further includes a user identifier, and after the generating the recipe recommendation information corresponding to the type of physical fitness, the method further includes:

6. The method of claim 5, wherein after sending the recipe recommendation information to the terminal, further comprising:

7. The menu recommendation method is applied to a terminal and comprises the following steps of;

sending the user information to a server;

8. The method of claim 7, wherein the obtaining user information comprises:

9. The method of claim 8, wherein the obtaining of the food material information corresponding to the user comprises:

10. The method according to claim 7, wherein after receiving the menu recommendation information corresponding to the body constitution type of the user sent by the server, the method further comprises:

displaying the menu recommendation information through a display device;

11. A menu recommendation system is characterized by comprising a terminal and a server;

the terminal is used for acquiring user information, and the user information comprises a picture to be diagnosed of a user; sending the user information to the server; receiving menu recommendation information which is sent by the server and corresponds to the physique type of the user, wherein the physique type is determined by the server according to the user information and a preset traditional Chinese medicine physique table;

the server is used for receiving the user information sent by the terminal; determining the constitution type of the user according to the user information and a preset traditional Chinese medicine constitution table; generating menu recommendation information corresponding to the constitution types according to the constitution types and a preset menu database; and sending the menu recommendation information to the terminal.

12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of any one of claims 1-10.

13. The electronic device of claim 12, wherein the electronic device is a refrigerator configured to perform the method of any of claims 7-10.

14. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor to implement the method according to any of claims 1-10.