CN110688568A

CN110688568A - Menu recommendation method and device

Info

Publication number: CN110688568A
Application number: CN201910876906.2A
Authority: CN
Inventors: 钱意; 周定冰
Original assignee: SHENZHEN HUOWANG GAS APPLIANCE CO Ltd
Current assignee: SHENZHEN HUOWANG GAS APPLIANCE CO Ltd
Priority date: 2019-09-17
Filing date: 2019-09-17
Publication date: 2020-01-14

Abstract

The invention discloses a menu recommendation method and device, wherein the method comprises the steps that a cloud service control platform obtains target parameters aiming at intelligent cooking equipment, the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment, and the intelligent cooking equipment is communicated with the cloud service control platform in advance; the cloud service control platform determines a target menu matched with the target parameters from a predetermined menu database according to the target parameters; the cloud service control platform recommends the target menu to the intelligent cooking equipment. Therefore, the embodiment of the invention can match the proper menu for the user through the food material parameters and the user attribute parameters, realize the personalized customization of the menu for the user according to the actual requirements of the user, and provide professional menu suggestions for the user, thereby reducing the occurrence of health problems of the user caused by unscientific and reasonable diet, and improving the life experience of the user.

Description

Menu recommendation method and device

Technical Field

The invention relates to the technical field of intelligent kitchen electricity, in particular to a menu recommending method and device.

Background

With the progress of science and technology, the development of economy and the improvement of living standard, people pay more and more attention to healthy and reasonable diet. In order to solve the requirements of people on healthy and reasonable diet, various healthy recipes appear on the market, which solves the problem of the requirements on healthy and reasonable diet to a certain extent.

However, it is found that the current recipes are mostly fixed recipes, that is, the matching of the materials and the cooking process of the current recipes are fixed and stored in books (e.g., electronic books and physical books), and cannot be adjusted adaptively according to the actual needs. Therefore, there is a need to provide a technical solution that can customize a menu for a user according to the actual needs of the user.

Disclosure of Invention

The technical problem to be solved by the embodiments of the present invention is to provide a menu recommendation method and apparatus, which can match a suitable menu for a user through a food material parameter and a user attribute parameter, so as to realize personalized customization of a menu for the user according to the actual needs of the user.

In order to solve the technical problem, a first aspect of the embodiment of the present invention discloses a menu recommendation method, which is applied to a cloud service control platform, and the method includes:

the cloud service control platform acquires target parameters aiming at intelligent cooking equipment, wherein the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment, and the intelligent cooking equipment is communicated with the cloud service control platform in advance;

the cloud service control platform determines a target menu matched with the target parameter from a predetermined menu database according to the target parameter;

the cloud service control platform recommends the target recipe to the intelligent cooking device.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the user attribute parameter includes a user real-time parameter, the user real-time parameter includes at least one of a user face image parameter and a user voice parameter, and the voice parameter includes at least one of a intonation parameter, a voice keyword parameter, and a voice decibel parameter;

and after the cloud service control platform determines a target recipe matched with the target parameter from a predetermined recipe database according to the target parameter and before the cloud service control platform recommends the target recipe to the intelligent cooking device, the method further comprises:

the cloud service control platform analyzes the real-time user parameters to obtain emotion parameters of the user, and judges whether the emotion parameters represent that the current state of the user is in an adverse emotion state;

when the emotion parameter indicates that the current state of the user is in the bad emotion state, the cloud service platform analyzes nutrient components contained in each food material in the target menu, and selects target nutrient components capable of adjusting the emotion parameter from all the nutrient components;

the cloud service control platform screens all first target food materials containing the target nutritional ingredients from all the food materials;

wherein the cloud service control platform recommends the target recipe to the intelligent cooking device, including:

and the cloud service control platform recommends a menu formed by combining all the first target food materials to the intelligent cooking equipment.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the target parameter further includes a device attribute parameter of the intelligent cooking device, where the device attribute parameter at least includes an identification parameter of the intelligent cooking device;

and after the cloud service control platform determines a target menu matched with the target parameter from a predetermined menu database according to the target parameter, the method further comprises the following steps:

the cloud service control platform determines the equipment type of the intelligent cooking equipment according to the identification parameters;

the cloud service control platform screens a first target cooking guidance scheme matched with the equipment type and the target menu from a predetermined cooking guidance scheme set, and recommends the first target cooking guidance scheme to the intelligent cooking equipment.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the cloud service control platform recommends the target recipe to the intelligent cooking device, the method further includes:

the cloud service control platform judges whether an update request aiming at the target menu is received or not;

when the update request is judged to be received, the cloud service control platform updates the target menu;

when the update request is judged not to be received, the cloud service control platform determines the eating time of the user eating the food materials contained in the target menu, and the starting time of the eating time is the time of sending the target menu to the intelligent cooking equipment;

and the cloud service control platform judges whether the eating duration is greater than or equal to a preset eating duration threshold value, and when the eating duration is greater than or equal to the preset eating duration threshold value, the cloud service control platform updates the target menu.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the user attribute parameter includes a user physical health parameter;

after the cloud service control platform determines a target menu matched with the target parameter from a predetermined menu database according to the target parameter, the method further comprises the following steps;

the cloud service control platform analyzes all nutrients required by the user according to the body health parameters of the user, and screens a second target food material containing at least one of all the nutrients from all recipes contained in the target recipe;

and the cloud service control platform recommends a menu consisting of all the second target food materials to the intelligent cooking equipment.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the user attribute parameter further includes a user identity parameter;

and, the method further comprises:

the cloud service control platform determines a user type corresponding to the user according to the user identity parameter, wherein the user type comprises any one of a family user type, a handwork enthusiast type, a chef type and an equipment maintenance director type;

when the user identity parameter is determined not to be the equipment maintenance director type, the cloud service control platform screens a second target cooking guidance scheme matched with the user identity parameter and the target recipe from a predetermined cooking guidance scheme set, and recommends the second target cooking guidance scheme to the intelligent cooking equipment.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the user attribute parameter further includes at least one of a user historical menu parameter, a user region parameter, a user preference parameter, a user population parameter, a user gender parameter, and a user age parameter.

The second aspect of the embodiment of the invention discloses another recipe recommendation method, which is applied to intelligent cooking equipment and comprises the following steps:

the intelligent cooking equipment sends target parameters aiming at the intelligent cooking equipment to a cloud service control platform, so that the cloud service control platform determines a target menu matched with the target parameters from a predetermined menu database according to the target parameters, the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment, and the intelligent cooking equipment establishes communication with the cloud service control platform in advance;

the intelligent cooking equipment receives the target menu recommended by the cloud service control platform.

The third aspect of the embodiment of the invention discloses a menu recommending device, which is applied to a cloud service control platform and comprises an acquiring module, a determining module and a recommending module, wherein:

the acquisition module is used for acquiring target parameters aiming at the intelligent cooking equipment, the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment, and the intelligent cooking equipment is communicated with the cloud service control platform in advance;

the determining module is used for determining a target menu matched with the target parameters from a predetermined menu database according to the target parameters;

the recommending module is used for recommending the target menu to the intelligent cooking equipment.

As an optional implementation manner, in the third aspect of the embodiment of the present invention, the user attribute parameter includes a user real-time parameter, the user real-time parameter includes at least one of a user face image parameter and a user voice parameter, and the voice parameter includes at least one of a intonation parameter, a voice keyword parameter, and a voice decibel parameter;

and, the device also includes a first analysis module, a first judgment module and a first screening module, wherein:

the first analysis module is used for analyzing the real-time parameters of the user to obtain emotion parameters of the user after the determination module determines a target menu matched with the target parameters from a predetermined menu database according to the target parameters and before the recommendation module recommends the target menu to the intelligent cooking equipment;

the first judging module is used for judging whether the emotion parameter represents that the current state of the user is in an adverse emotion state;

the first analysis module is further used for analyzing nutritional ingredients contained in each food material in the target menu when the first judgment module judges that the emotion parameter indicates that the current state of the user is in the bad emotion state;

the first screening module is used for screening target nutritional ingredients capable of adjusting the emotional parameters from all the nutritional ingredients and screening all first target food materials containing the target nutritional ingredients from all the food materials;

the recommendation module specifically recommends the target recipe to the intelligent cooking device in a manner that:

and recommending a menu formed by combining all the first target food materials to the intelligent cooking equipment.

As an optional implementation manner, in the third aspect of the embodiment of the present invention, the target parameter further includes a device attribute parameter of the intelligent cooking device, where the device attribute parameter at least includes an identification parameter of the intelligent cooking device;

and, the apparatus further comprises a second screening module, wherein:

the determining module is further used for determining the equipment type of the intelligent cooking equipment according to the identification parameters after determining a target menu matched with the target parameters from a predetermined menu database according to the target parameters;

the second screening module is used for screening a first target cooking guidance scheme matched with the equipment type and the target menu from a predetermined cooking guidance scheme set;

the recommending module is further used for recommending the first target cooking guidance scheme to the intelligent cooking equipment.

As an optional implementation manner, in the third aspect of the embodiment of the present invention, the apparatus further includes a second determining module and an updating module, where:

the second judging module is used for judging whether an updating request aiming at the target menu is received or not after the recommending module recommends the target menu to the intelligent cooking equipment;

the updating module is configured to update the target menu when the second determining module determines that the update request is received;

the determining module is further configured to determine, when the second determining module determines that the update request is not received, an eating duration for the user to eat the food materials included in the target recipe, where an initial time of the eating duration is a time for sending the target recipe to the intelligent cooking device;

the second judging module is further configured to judge whether the eating duration is greater than or equal to a preset eating duration threshold;

the updating module is further configured to update the target recipe when the second determining module determines that the eating duration is greater than or equal to a preset eating duration threshold.

As an optional implementation manner, in the third aspect of the embodiment of the present invention, the user attribute parameter includes a user physical health parameter;

and, the apparatus further comprises a second analysis module and a third screening module, wherein:

the second analysis module is used for analyzing all nutrients required by the user according to the body health parameters of the user after the determination module determines a target menu matched with the target parameters from a predetermined menu database according to the target parameters;

the third screening module is used for screening a second target food material containing at least one of all the nutrients from all the recipes contained in the target recipe;

recommending a recipe consisting of all the second target food materials to the intelligent cooking device.

As an optional implementation manner, in the third aspect of the embodiment of the present invention, the user attribute parameter includes a user identity parameter;

and, the apparatus further comprises a fourth screening module, wherein:

the determining module is further configured to determine a user type corresponding to the user according to the user identity parameter, where the user type includes any one of a home user type, a handwork enthusiast type, a chef type, and an equipment maintenance director type;

and the fourth screening module is used for screening a second target cooking guidance scheme matched with the user identity parameter and the target menu from a predetermined cooking guidance scheme set after the determining module determines the target menu matched with the target parameter from a predetermined menu database according to the target parameter and when the determining module determines that the user identity parameter is not the equipment maintenance director type;

the recommending module is further used for recommending the second target cooking guidance scheme to the intelligent cooking equipment.

As an optional implementation manner, in the third aspect of the embodiment of the present invention, the user attribute parameter further includes at least one of a user historical menu parameter, a user region parameter, a user preference parameter, a user population parameter, a user gender parameter, and a user age parameter.

The fourth aspect of the embodiment of the present invention discloses another menu recommendation device, including:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the menu recommendation method disclosed by the first aspect of the embodiment of the invention.

The fifth aspect of the embodiment of the present invention discloses a computer storage medium, where the computer storage medium stores a computer instruction, and the computer instruction is used to execute the recipe recommendation method disclosed in the first aspect of the embodiment of the present invention when being called.

A fifth aspect of the embodiments of the present invention discloses a computer program product, which, when running on a computer, causes the computer to execute the method for recommending recipes disclosed in the first aspect of the embodiments of the present invention.

Compared with the prior art, the invention has the following beneficial effects:

the invention discloses a menu recommendation method and a device, wherein the method comprises the steps that a cloud service control platform obtains target parameters aiming at intelligent cooking equipment, the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment, and the intelligent cooking equipment is communicated with the cloud service control platform in advance; the cloud service control platform determines a target menu matched with the target parameters from a predetermined menu database according to the target parameters; the cloud service control platform recommends the target menu to the intelligent cooking equipment. Therefore, the embodiment of the invention can match the proper menu for the user through the food material parameters and the user attribute parameters, realize the personalized customization of the menu for the user according to the actual requirements of the user, and provide professional menu suggestions for the user, thereby reducing the occurrence of health problems of the user caused by unscientific and reasonable diet, and improving the life experience of the user.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.

FIG. 1 is a flowchart illustrating a method for recommending recipes according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of another recipe recommendation method disclosed in the embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a menu recommending device according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another menu recommending device disclosed in the embodiment of the present invention;

fig. 5 is a schematic structural diagram of a device for recommending a recipe according to another embodiment of the present invention.

Detailed Description

For better understanding and implementation, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus. In addition, the terms "first", "second", and the like in the description and the claims of the present invention are only used for distinguishing different objects, and it is possible for a person having ordinary skill in the art to understand the specific meanings of the above terms in the present invention according to specific situations.

The embodiment of the invention discloses a menu recommending method and device, which can match a proper menu for a user through food material parameters and user attribute parameters, realize personalized customization of the menu for the user according to the actual requirements of the user, and provide professional menu suggestions for the user, thereby reducing the occurrence of health problems of the user caused by unscientific and reasonable diet, and improving the life experience of the user. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a flowchart illustrating a menu recommending method according to an embodiment of the present invention. The method described in fig. 1 may be applied to a cloud service control platform (also referred to as a cloud service control center), where the cloud service control platform may be a cloud service control platform corresponding to an intelligent cooking device such as an intelligent gas stove, an intelligent induction cooker, an intelligent microwave oven, an intelligent oven, and an intelligent electric cooker, and the intelligent cooking device may be bound to a user terminal. The user terminal may be a terminal such as a smart phone (Android phone, iOS phone, etc.), a smart phone watch, a tablet computer, a palmtop computer, a vehicle-mounted computer, a desktop computer, a netbook, and a Mobile Internet Device (MID), and the embodiment of the present invention is not limited. As shown in fig. 1, the method for recommending a recipe may include the steps of:

101. the cloud service control platform acquires target parameters for the intelligent cooking equipment.

In the embodiment of the invention, the intelligent cooking equipment is communicated with the cloud service control platform in advance.

In the embodiment of the invention, the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment. The target food material parameter includes at least one of a type of the target food material, a grade of the target food material, a component of the target food material, and a producing area of the target food material, which is not limited in the embodiments of the present invention. The user attribute parameter includes at least one of a user historical menu parameter, a user region parameter, a user preference parameter, a user population parameter, a user gender parameter, and a user age parameter, which is not limited in the embodiments of the present invention. The user history recipe parameter may include the number of times each recipe is eaten within a certain time period (e.g., a natural month, etc.). Further, the user history recipe parameter may further include the corresponding number of eating times of each food material within the certain time period. Therefore, the more target parameters corresponding to the intelligent cooking equipment are, the more the accuracy and the reliability of the menu determination can be improved.

In the embodiment of the present invention, further, the target parameter may be sent by the intelligent cooking device to the cloud service control platform, or may be sent by a user corresponding to the intelligent cooking device through a user terminal of the user. Still further, when the target parameter is sent by the user through the user terminal, an intelligent cooking application (for example, an intelligent recipe recommendation APP) corresponding to the intelligent cooking device is installed on the user terminal. At this time, the user corresponding to the intelligent cooking device has registered an account on the intelligent cooking application, and the account stores the target parameters or part of the target parameters. Therefore, the acquisition modes of the target parameters corresponding to the intelligent cooking equipment can be enriched, and the acquisition flexibility of the target parameters is improved.

In the embodiment of the invention, further, the intelligent cooking device may include a terminal use function and a terminal request function. The terminal using function refers to at least one of food material stir-frying, steaming, seasoning adding, stewing, stir-frying and the like, and the terminal requesting function refers to that the intelligent cooking equipment is provided with a communication module, can send a request signal outwards through the communication module, can receive a returned response signal, and has the capability of converting an automatic response signal into an executing action. Further, the terminal using function may include at least one of a standard menu given randomly, a user-defined menu modified by the user, a statistical function, and the like, wherein, the randomly presented standard menu function can be defined according to the requirements of the number of users, taste, contraindications and the like, the user can modify the self-defined menu function by fine tuning according to the existing menu (such as the menu of the intelligent cooking equipment and/or the electronic menu on the internet, etc.), change the standard menu into the customized menu, and the user can also create the menu according to the own requirements (such as favorite habits, etc.), meanwhile, the menu is uploaded to a cloud server control platform, and the cloud server control platform carries out fixed-point and directional sharing, the statistical function mainly comprises at least one of the statistics of the use frequency of the intelligent cooking equipment, the statistics of the eating frequency of dishes and the like. Therefore, by counting the use frequency of the intelligent cooking equipment, the evaluation (such as convenience, practicability and the like) of a user on the intelligent cooking equipment can be collected, so that the intelligent cooking equipment is favorably optimized; by counting the eating frequency of the dishes, the preference of the user for the dishes can be known, and the menu can be recommended to the user.

102. And the cloud service control platform determines a target menu matched with the target parameter from a predetermined menu database according to the target parameter.

In the embodiment of the present invention, when the user attribute parameter includes a user regional parameter, as an optional implementation manner, the determining, by the cloud service control platform, a target recipe matched with the target parameter from a predetermined recipe database according to the target parameter may include:

the cloud service control platform determines the geographical position of the user according to the user regional parameters, and determines a target menu matched with the geographical position of the user from a predetermined menu database.

Therefore, according to the optional implementation mode, the menu matched with the geographical position of the user can be intelligently recommended to the user according to the regional parameters of the user, so that the user can eat the gourmet food in the region where the user is located, the use viscosity of the intelligent cooking equipment is improved, and the popularization efficiency of the intelligent cooking equipment is facilitated.

In the embodiment of the invention, the menu database is used for storing standard menus. Further, the standard recipes can be classified according to preset recipe classification rules, wherein the preset recipe classification rules may include at least one of recipe classification rules of cooking modes, tastes, dish products, main nutrients, food systems, food materials and raw materials, and the embodiment of the invention is not limited. Further, the cooking manner may include at least one of cooking manners such as steaming, stir-frying, hot pot, stewing, and the like, and the embodiment of the present invention is not limited. The taste may include at least one of light, normal, heavy. The dish product can comprise at least one of a taste type, a standard type and a nutritional type, wherein the taste type mainly ensures the appearance and the refreshing of the dish product, for example, boiled okra is put in the boiled water, boiled for 3 minutes with strong fire, turned over and filled with okra, and the refreshing and the appearance of the okra are beautiful with green oil. The nutritional type is designed mainly according to nutriology, and the food materials are rich in nutrients which can be absorbed by human bodies conveniently after being processed at the specified temperature and time, for example, boiled eggs are put in the eggs after being boiled by water for about 100 degrees, the eggs are put in the eggs and rotated in the same direction, then the eggs are boiled for 8 minutes by medium fire, and then the eggs are fished out, so that the boiled eggs are most nutritious. Standard forms vary between savory and nutritional forms, such as boiled okra, boiled in water, then boiled with an okra over strong fire for 6 minutes, and then turned over to contain the okra, which is a soft-mouth and dark-looking color. The primary nutrient may include any one of protein, fat, carbohydrate, mineral, water, and vitamin. The vegetable series may include at least one of Lucai, Chuan vegetable, Sucai, Yue vegetable, Mincai, Zhejiang vegetable, Hui vegetable, Xiangcai, etc. The food raw materials may include at least one of raw materials such as tomatoes, eggs, fish, chicken, pork and the like, and the embodiment of the present invention is not limited, for example: the input food materials are tomatoes and eggs, and the menu automatically pops up the menu using tomatoes and eggs as food materials, such as tomato fried eggs, tomato egg soup and the like, for the user to select. Therefore, the thinner the standard menu score is, the more the accuracy and reliability of menu determination can be improved, and the more the menu meeting the user requirements can be screened for the user.

In an embodiment of the present invention, the menu database is further configured to store a user portrait (also referred to as a client portrait and a crowd portrait), where the user portrait is a tagged portrait abstracted according to user demographic information, social relations, preference habits, consumption behaviors, and other information. Wherein, the user portrait can be well classified according to the preset portrait classification rule. The preset portrait classification rule may include at least one of portrait classification rules such as the number of users, age, region, gender, identity, constitution, and type of an operator of the intelligent cooking device. Wherein, the number of users can include at least one of one person (single person), two-mouth family, three-mouth family, four-mouth family, five-mouth family, etc. The age group may include at least one of infants, juveniles, adolescents, strong years, and elderly. The area may include at least one of Jiangzhe, Shuangguang, northeast, Minnan, Xinjiang and Chuan Yu, for example: guangdong tortoise jelly, Shandong donkey-hide gelatin cake, northeast stew, etc. The identity may include at least one of a student and a working group. The constitution may include at least one of normal constitution, deficient constitution, hair tonic constitution, and complicated constitution. The intelligent cooking device operator type may include at least one of a family general user, a DIY lover, a device maintenance director, and the like. Wherein, this family ordinary user mainly aims at current conventional menu, uses the user that intelligent cooking equipment's basic function can accomplish the dish, for example: mashed garlic and cabbage heart, etc. The DIY fan is mainly aimed at enjoying the cooking process, and can be used for making special dishes by the original processing technology, secret sauce and the like. The equipment maintenance guide mainly provides users of using help, exception handling and supporting work for guiding DIY enthusiasts to develop new functions of the intelligent cooking equipment. Therefore, the thinner the portrait of the user is, the more favorable the portrait is matched with the user, and the more favorable the menu meeting the requirements of the user is matched with the user.

In the embodiment of the present invention, further, the menu database may be a database in the cloud service control platform, or may be a database obtained by the cloud service control platform from another place, for example: the embodiment of the invention is not limited by the menu making platform which is communicated with the cloud service control platform in advance. Therefore, the acquisition mode of the menu database can be enriched.

103. And the cloud service control platform recommends the target menu to the intelligent cooking equipment.

As an alternative embodiment, after the step 102 is performed and before the step 103 is performed, the recipe recommending method may further include the steps of:

the cloud service control platform analyzes the real-time user parameters to obtain emotion parameters of the user and judges whether the emotion parameters indicate that the current state of the user is in an adverse emotion state;

when the emotion parameter indicates that the current state of the user is in an adverse emotion state, the cloud service platform analyzes the nutritional ingredients contained in each food material in the target menu, and screens the target nutritional ingredients capable of adjusting the emotion parameter from all the nutritional ingredients.

The cloud service control platform screens all first target food materials containing target nutritional ingredients from all food materials.

In this optional embodiment, as an optional implementation manner, the recommending, by the cloud service control platform, the target recipe to the intelligent cooking device may include:

In this optional embodiment, the user attribute parameters may further include a user real-time parameter, where the user real-time parameter may include at least one of a user face image parameter and a user voice parameter, and the voice parameter includes at least one of a intonation parameter, a voice keyword parameter, and a voice decibel parameter, which is not limited in this optional embodiment. Therefore, the more content the user real-time parameters contain, the more emotion judgment accuracy and reliability of the user can be improved.

In this alternative embodiment, different emotional states correspond to different recipes, for example: stress may correspond to a recipe rich in vitamin B and vitamin C (e.g., eggs, etc.).

In the embodiment of the present invention, the emotional parameter includes any one of apprehension, excitement, joy, horror, sadness, hate, anger, shame, fear, aole, and tension. The unfavorable emotional state includes any one of a state of sadness, hatiness, anger, and tension, and this alternative embodiment is not limited.

To facilitate understanding of the alternative embodiment by those skilled in the art, the cloud service control platform is now illustrated for the alternative embodiment, and analyzes the facial image of the user a to obtain that the facial feature of the user a is a worried feature, and the speech sound of the user a is very low and slow, and the language includes an exclamation word such as "about", and if the current state of the user a is a worried state, the food material rich in dopamine and/or epinephrine is recommended to the user a, so that after the user a eats the food material, the muscle movement rate of the user a can be increased, the heart rate is accelerated, and the vasodilation is facilitated for the user a.

Therefore, according to the optional embodiment, the emotion parameters of the user are distinguished according to the face image parameters and/or the voice parameters of the user, the emotion state of the user is further obtained, a menu suitable for the user is recommended for the user according to the emotion state of the user, the emotion of the user can be adjusted, the intelligent function of the cloud service control platform is enriched, and the experience of the user is improved.

As another optional embodiment, the target parameters may further include device attribute parameters of the intelligent cooking device, the device attribute parameters at least include an identification parameter of the intelligent cooking device, and after the step 102 of performing, the method for recommending recipes may further include the steps of:

In this alternative embodiment, the device attribute parameter may further include at least one of a type, a size, a volume, a material, a model, a shape, and a function of the intelligent cooking device, which is not limited in this alternative embodiment. Therefore, the more contents contained in the equipment attribute parameters, the more beneficial the acquisition of a proper menu cooking guidance scheme is.

In order to facilitate understanding of the alternative embodiment by those skilled in the art, the alternative embodiment is now illustrated, assuming that the target recipe is pig trotters and soybeans, when the device type of the intelligent cooking device indicates that the intelligent cooking device is an intelligent pressure cooker, the cooking guidance scheme for the pig trotters and the soybeans is to put other food materials and/or seasonings such as the pig trotters and the soybeans into the pressure cooker at the same time, when the device type of the intelligent cooking device indicates that the intelligent cooking device is an intelligent frying cooker, the cooking guidance scheme for the pig trotters and the soybeans is to boil the pig trotters first, and after a certain period of time (for example, 20 minutes), the soybeans are put into the pot to be boiled together, and in the process of boiling the pig trotters and the soybeans, other food materials and/or seasonings are added according to actual situations.

Therefore, the optional embodiment combines the required menu with the equipment type of the intelligent cooking equipment to determine the proper menu cooking guidance scheme, can select the optimal cooking guidance scheme for the user, and is favorable for the user to eat delicious and nutritional dishes.

As another alternative, after the step 103 is performed, the method for recommending recipes may further include the steps of:

when the fact that the updating request is received is judged, the cloud service control platform updates the target menu;

when the update request is judged not to be received, the cloud service control platform determines the eating time of the food materials contained in the target menu eaten by the user, and the starting time of the eating time is the time of sending the target menu to the intelligent cooking equipment;

and the cloud service control platform judges whether the eating duration is greater than or equal to a preset eating duration threshold value or not, and updates the target menu when the eating duration is greater than or equal to the preset eating duration threshold value.

In this optional embodiment, the update request may include food material parameters that the user needs to eat, and at this time, the cloud service control platform changes the target recipe into a recipe corresponding to the food material parameters according to the food material parameters.

In this optional embodiment, further, the content included in the update request may be null, and when the content included in the update request is null, or when the eating duration of the food material included in the target recipe eaten by the user is greater than or equal to a preset eating duration threshold, the cloud service control platform may select a required recipe from a recipe set corresponding to a trigger that triggers the update request. Wherein, the menu set can contain several menus. Further, all recipes in the recipe set may be ordered, for example: recipe A, recipe B, recipe C, recipe D, recipe E, recipe F and recipe G. Furthermore, the eating frequency corresponding to each menu in a certain time period (for example, a natural month and the like) can be counted. Therefore, when the target recipe is recipe C, the desired recipe is recipe D and/or the recipe with the highest frequency of consumption in the set of recipes. Therefore, when the food material parameters exist in the updating request of the user, the menu required by the user can be determined according to the food material parameters, and when the content contained in the updating request is empty or the eating duration of the food material contained in the eating target menu is greater than or equal to the preset eating duration, the menu required by the user can be determined for the user from the corresponding menu set.

Therefore, in the optional embodiment, by judging whether an update request of a user for a menu is received or not, updating the menu when the update request is received, judging whether the duration of eating the menu is greater than or equal to the preset eating duration when the update request is not received, and if the duration of eating the menu is greater than or equal to the preset eating duration, updating the menu, the menu can be updated according to the update request of the user, the menu can be updated according to the actual eating duration of the menu, so that the flexibility of updating the menu is improved, a proper menu is prepared for the user, and the possibility that the nutrition imbalance is caused by long-time eating of the same dish by the user and the health problem is further caused is reduced.

As a further alternative, the user attribute parameters may include a physical health parameter of the user, and after the step 102 is performed and before the step 103 is performed, the method for recommending recipes may further include the steps of:

the cloud service control platform analyzes all nutrients required by the user according to the physical health parameters of the user, and screens a second target food material containing at least one nutrient in all nutrients from all recipes contained in the target recipe;

In this alternative embodiment, the physical health parameter of the user may include any one of a convalescent type, a stomach-weakness type, a body-slimming type, and the like, and this alternative embodiment is not limited thereto.

For example, when the physical health parameter of the user is a cold rehabilitation period type, the nutrition required by the user is generally protein, in this case, the recipe recommended to the user may include protein-rich food materials such as eggs, fish, milk, and the like, and the cooking scheme of the recipe is a liquid diet cooking scheme that is easily digestible by the user.

Therefore, according to the optional embodiment, all nutrition needed by the user is analyzed through the body health parameters of the user, and food materials with all nutrition needed are further selected from the selected menu, so that the user can eat food materials meeting the requirements, the user can be helped to build a healthy body, and the intelligent function of the cloud service control platform is further enriched, and the user experience is improved.

As another optional embodiment, the user attribute parameters may further include a user identity parameter, and the recipe recommendation method may further include the following steps:

the cloud service control platform determines a user type corresponding to the user according to the user identity parameter, where the user type includes any one of a home user type, a handwork enthusiast type, a chef type, and an equipment maintenance director type, and the optional embodiment is not limited;

and after the step 102 is executed, the method for recommending the menu may further include the following steps:

when the user identity parameter is determined not to be the equipment maintenance director type, the cloud service control platform screens a second target cooking guidance scheme matched with the user identity parameter and the target menu from the predetermined cooking guidance scheme set, and recommends the second target cooking guidance scheme to the intelligent cooking equipment.

In this alternative embodiment, the set of cooking guidance plans includes cooking guidance plans (also called food cooking guidance plans) for a variety of recipes. Further, each recipe may be divided into different sub-cooking guidance plans according to different user identities.

Therefore, in the optional embodiment, the cooking guidance scheme matched with the user identity and the menu is screened for the user through the user identity, so that the menu meeting the user requirement can be matched for the user, and the appropriate cooking guidance scheme can be screened for the user, and the cooking efficiency of the food materials is improved.

As another alternative embodiment, the method for recommending a recipe may further include the steps of:

the cloud service control platform receives a fault guidance request aiming at the intelligent cooking equipment, the fault guidance request is used for requesting guidance of clearing of faults of the intelligent cooking equipment, and the fault guidance request comprises fault reasons of the intelligent cooking equipment;

the cloud service control platform screens a target solution matched with the fault reason from a predetermined solution set according to the fault reason, and pushes the target solution to the intelligent cooking equipment, so that a user corresponding to the intelligent cooking equipment can solve the fault of the intelligent cooking equipment according to the target solution.

In this optional embodiment, the fault guidance request may be sent by the intelligent cooking device to the cloud service control platform, or may be sent by a user corresponding to the intelligent cooking device through a user terminal of the user, which is not limited in this optional embodiment. Therefore, when the intelligent cooking equipment cannot send data to the cloud service platform and/or cannot communicate with the cloud service platform, the fault guide request can be sent to the cloud service control platform through the user terminal, and therefore the possibility that the fault problem of the intelligent cooking equipment is solved can be improved.

It can be seen that when a fault guidance request of the intelligent cooking device is received, the optional embodiment screens a solution matched with the fault reason from a predetermined solution set, and can remotely guide a user to solve the fault of the intelligent cooking device, so that the possibility that the fault problem of the intelligent cooking device cannot be solved due to the fact that maintenance personnel cannot arrive in time can be reduced, the quantity requirement of the maintenance personnel can be reduced, and the labor cost is reduced.

Therefore, by implementing the recipe recommendation method described in fig. 1, a suitable recipe can be matched for a user through the food material parameters and the user attribute parameters, so that the recipe can be customized for the user individually according to the actual requirements of the user, and a professional recipe suggestion can be provided for the user, thereby reducing the occurrence of health problems caused by unscientific and reasonable diet of the user, and improving the life experience of the user. In addition, the accuracy and the reliability of the menu determination can be improved; the acquisition mode of a menu database can be enriched; the emotion of the user can be adjusted; the optimal cooking guidance scheme can be selected for the user, so that the user can eat delicious and nutritional dishes; the possibility that the nutrition is unbalanced and further health problems are caused due to the fact that the user eats the same dishes for a long time can be reduced, and the healthy body can be built for the user; the method can also match a menu meeting the requirements of the user for the user, and can also screen out a proper cooking guidance scheme for the user, thereby being beneficial to improving the cooking efficiency of food materials; the possibility that maintenance personnel cannot arrive in time and the fault problem of the intelligent cooking equipment cannot be solved in time can also be reduced, and the quantity demand of the maintenance personnel can also be reduced, so that the labor cost is reduced.

Example two

Referring to fig. 2, fig. 2 is a flowchart illustrating another menu recommending method according to an embodiment of the present invention. The method described in fig. 2 may be applied to an intelligent cooking device, where the intelligent cooking device may include any one of an intelligent gas stove, an intelligent induction cooker, an intelligent microwave oven, an intelligent oven, and an intelligent electric cooker. As shown in fig. 2, the recommendation method of the recipe may include the following operations:

201. the intelligent cooking equipment sends the target parameters aiming at the intelligent cooking equipment to the cloud service control platform, so that the cloud service control platform determines the target menu matched with the target parameters from the predetermined menu database according to the target parameters.

In the embodiment of the invention, the target parameters at least comprise target food material parameters corresponding to the intelligent cooking equipment and user attribute parameters corresponding to the intelligent cooking equipment, and the intelligent cooking equipment establishes communication with the cloud service control platform in advance.

202. And the intelligent cooking equipment receives the target menu recommended by the cloud service control platform.

In the embodiment of the present invention, please refer to the detailed description in the first embodiment for other detailed descriptions of the intelligent cooking device and the cloud service control platform, which is not limited in the embodiment of the present invention.

Therefore, by implementing the recipe recommendation method described in fig. 2, a suitable recipe can be matched for the user through the food material parameters and the user attribute parameters, so that the recipe can be customized for the user individually according to the actual requirements of the user, and a professional recipe suggestion can be provided for the user, thereby reducing the occurrence of health problems caused by unscientific and reasonable diet of the user, and improving the life experience of the user.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of a menu recommending device according to an embodiment of the present invention. The device described in fig. 3 may be applied to a cloud service control platform (also referred to as a cloud service control center), where the cloud service control platform may be a cloud service control platform corresponding to an intelligent cooking device such as an intelligent gas stove, an intelligent induction cooker, an intelligent microwave oven, an intelligent oven, and an intelligent electric cooker, and the intelligent cooking device may be bound to a user terminal. The user terminal may be a terminal such as a smart phone (, a smart phone watch, a tablet computer, a palmtop computer, a vehicle-mounted computer, a desktop computer, a netbook, an intelligent navigator, a Mobile Internet Device (MID), and the like, and the embodiment of the present invention is not limited thereto, as shown in fig. 3, the apparatus for recommending a recipe may include an obtaining module 301, a determining module 302, and a recommending module 303, where:

the obtaining module 301 is configured to obtain a target parameter for the intelligent cooking device, where the target parameter at least includes a target food material parameter corresponding to the intelligent cooking device and a user attribute parameter corresponding to the intelligent cooking device, and the intelligent cooking device establishes communication with the cloud service control platform in advance.

In this embodiment of the present invention, the user attribute parameters further include at least one of a user history menu parameter, a user region parameter, a user preference parameter, a user population parameter, a user gender parameter, and a user age parameter, which is not limited in this embodiment of the present invention.

A determining module 302, configured to determine, according to the target parameter, a target recipe matching the target parameter from a predetermined recipe database.

In the embodiment of the present invention, when the user attribute parameters include user regional parameters, as an optional implementation manner, the manner in which the determining module 302 determines, according to the target parameter, the target recipe matched with the target parameter from the predetermined recipe database is specifically:

and determining the geographical position of the user according to the user regional parameters, and determining a target menu matched with the geographical position of the user from a predetermined menu database.

Therefore, according to the optional implementation mode, the menu matched with the geographical position of the user can be intelligently recommended to the user according to the regional parameters of the user, and the user can eat the food in the region where the user is located.

And the recommending module 303 is used for recommending the target menu to the intelligent cooking device.

Therefore, the device for recommending the menu described in fig. 3 can match a suitable menu for the user through the food material parameters and the user attribute parameters, realize personalized customization of the menu for the user according to the actual requirements of the user, and provide professional menu suggestions for the user, thereby reducing the occurrence of health problems of the user due to unscientific and reasonable diet, and improving the life experience of the user.

As an optional embodiment, the user attribute parameter includes a user real-time parameter, and the user real-time parameter includes at least one of a user face image parameter and a user voice parameter, and the voice parameter includes at least one of a intonation parameter, a voice keyword parameter, and a voice decibel parameter. And, the aforementioned menu recommending apparatus further includes a first analyzing module 304, a first determining module 305, and a first screening module 306, at this time, the menu recommending apparatus may be as shown in fig. 4, and fig. 4 is a schematic structural diagram of another menu recommending apparatus disclosed in the embodiment of the present invention, where:

a first analyzing module 304, configured to analyze the real-time parameters of the user to obtain the emotional parameters of the user after the determining module 302 determines the target recipe matching the target parameter from the predetermined recipe database according to the target parameter and before the recommending module 303 recommends the target recipe to the intelligent cooking device.

A first determining module 305, configured to determine whether the emotion parameter indicates that the current state of the user is in an adverse emotional state.

The first analyzing module 304 is further configured to analyze nutritional ingredients contained in each food material in the target menu when the first determining module 305 determines that the emotion parameter indicates that the current state of the user is in an adverse emotion state.

A first screening module 306 for screening the target nutritional ingredients capable of adjusting the mood parameters from all the nutritional ingredients, and screening all the first target food materials containing the target nutritional ingredients from all the food materials.

In this optional embodiment, as an optional implementation manner, the manner in which the recommending module 303 recommends the target recipe to the intelligent cooking device is specifically as follows:

Therefore, the menu recommending device described in fig. 4 can distinguish the emotion parameters of the user according to the face image parameters and/or the voice parameters of the user, so as to obtain the emotion state of the user, and recommend a menu suitable for the user to the user according to the emotion state of the user, so that the emotion of the user can be adjusted, the intelligent function of the cloud service control platform can be enriched, and the experience of the user can be improved.

As another optional embodiment, the target parameters further include device attribute parameters of the intelligent cooking device, and the device attribute parameters at least include an identification parameter of the intelligent cooking device. And, as shown in fig. 4, the apparatus for recommending recipes further includes a second filtering module 307, wherein:

the determining module 302 is further configured to determine the device type of the intelligent cooking device according to the identification parameter after determining the target recipe matching the target parameter from the predetermined recipe database according to the target parameter.

A second filtering module 307 for filtering a first target cooking guidance program matching the equipment type and the target recipe from the predetermined set of cooking guidance programs.

The recommending module 303 is further configured to recommend the first target cooking guidance scheme to the intelligent cooking apparatus.

Therefore, the recommending device for implementing the menu described in fig. 4 can also determine a proper menu cooking guidance scheme by combining the required menu with the equipment type of the intelligent cooking equipment, can select the optimal cooking guidance scheme for the user, and is favorable for the user to eat delicious and nutritional dishes.

As another alternative embodiment, as shown in fig. 4, the apparatus for recommending recipes may further include a second determining module 308 and an updating module 309, where:

the second determination module 308 is configured to determine whether an update request for the target recipe is received after the recommendation module 303 recommends the target recipe to the intelligent cooking device.

An updating module 309, configured to update the target recipe when the second determining module 308 determines that the update request is received.

The determining module 302 is further configured to determine, when the second determining module 308 determines that the update request is not received, an eating duration for the user to eat the food materials included in the target recipe, where an initial time of the eating duration is a time for sending the target recipe to the intelligent cooking device.

The second determining module 308 is further configured to determine whether the eating duration is greater than or equal to the preset eating duration threshold.

The updating module 309 is further configured to update the target recipe when the second determining module 308 determines that the eating duration is greater than or equal to the preset eating duration threshold.

It can be seen that, the recommending device for implementing the recipe described in fig. 4 can also update the recipe by judging whether an update request of a user for the recipe is received or not, when the update request is received, the recipe is updated, when the update request is not received, whether the duration for eating the recipe is greater than or equal to the preset eating duration or not is judged, if yes, the recipe is updated, not only can the recipe be updated according to the update request of the user, but also the recipe can be updated according to the actual eating duration of the recipe, so that the updating flexibility of the recipe is improved, a proper recipe is matched for the user, and the possibility that the nutrition imbalance is caused by long-time eating of the same dishes by the user and further the health problem is caused is reduced.

As another alternative embodiment, the user attribute parameters include physical health parameters of the user, and as shown in fig. 4, the apparatus for recommending recipes may further include a second analysis module 310 and a third filtering module 311, wherein:

and a second analysis module 310, configured to analyze all nutrients required by the user according to the physical health parameters of the user after the determination module 302 determines the target recipe matching the target parameters from the predetermined recipe database according to the target parameters.

A third screening module 311 for screening a second target food material comprising at least one of all nutrients from all recipes comprised in the target recipe.

The mode that the recommending module 303 recommends the target recipe to the intelligent cooking device is specifically as follows:

and recommending a menu consisting of all the second target food materials to the intelligent cooking equipment.

Therefore, the recommending device for implementing the menu described in fig. 4 can analyze all nutrients required by the user through the physical health parameters of the user, and further select food materials with all nutrients required from the selected menu, so that the user can eat food materials meeting the requirements, the user can be helped to build a healthy body, and the intelligent function of the cloud service control platform is further enriched, and the user experience is improved.

As another optional embodiment, the user attribute parameters further include a user identity parameter, and as shown in fig. 4, the apparatus for recommending recipes further includes a fourth filtering module 312, where:

the determining module 302 is further configured to determine a user type corresponding to the user according to the user identity parameter, where the user type includes any one of a home user type, a hobbyist type, a chef type, and an equipment maintenance director type.

A fourth filtering module 312, configured to filter a second target cooking guidance program matching the user identity parameter and the target recipe from the set of predetermined cooking guidance programs after the determining module 302 determines the target recipe matching the target parameter from the predetermined recipe database according to the target parameter and when the determining module 302 determines that the user identity parameter is not the device maintenance director type.

The recommending module 303 is further configured to recommend the second target cooking guidance scheme to the intelligent cooking apparatus.

Therefore, the recommending device for recipes described in fig. 4 can also screen the user for a cooking guidance scheme matched with the user identity and the recipe through the user identity, not only can match the recipe meeting the user requirement for the user, but also can screen a proper cooking guidance scheme for the user, and is beneficial to improving the cooking efficiency of food materials.

As still another alternative embodiment, as shown in fig. 4, the determining module 302 is further configured to receive a fault guidance request for the intelligent cooking apparatus, where the fault guidance request is used to request guidance for clearing the fault of the intelligent cooking apparatus, and the fault guidance request includes a fault cause of the intelligent cooking apparatus.

The second screening module 307 is further configured to screen, according to the failure cause, a target solution matching the failure cause from a predetermined solution set;

the recommending module 303 is further configured to push the target solution to the intelligent cooking device, so that a user corresponding to the intelligent cooking device solves the fault of the intelligent cooking device according to the target solution.

It can be seen that, the recommending device for implementing the recipe described in fig. 4 can also screen a solution matched with the fault reason from the predetermined solution set when receiving the fault guidance request of the intelligent cooking device, and can remotely guide the user to solve the fault of the intelligent cooking device, so that the possibility that the fault problem of the intelligent cooking device cannot be solved in time due to the fact that maintenance personnel cannot arrive in time can be reduced, the number requirement of the maintenance personnel can be reduced, and the labor cost is reduced.

Example four

Referring to fig. 5, fig. 5 is a schematic structural diagram of another menu recommending apparatus according to an embodiment of the present invention. As shown in fig. 5, the recommending device for the recipe may be applied to a cloud service control platform, and the recommending device for the recipe may include:

a memory 501 in which executable program code is stored;

a processor 502 coupled to a memory 501;

further, an input interface 503 and an output interface 504 coupled to the processor 502 may be included;

the processor 502 calls the executable program code stored in the memory 501 to execute the steps in the recipe recommendation method described in the first embodiment or the second embodiment.

EXAMPLE five

The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps in the recipe recommendation method described in the first embodiment or the second embodiment.

EXAMPLE six

The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, wherein the computer program is operable to make a computer execute the steps in the recipe recommendation method described in the first embodiment or the second embodiment.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, wherein the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable rewritable Read-Only Memory (EEPROM), a compact disc-Read-Only Memory (CD-ROM) or other magnetic disk memories, a magnetic tape Memory, a magnetic disk, a magnetic tape Memory, a magnetic tape, and a magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.

Finally, it should be noted that: the method and apparatus for recommending recipes disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A menu recommendation method is applied to a cloud service control platform and comprises the following steps:

2. The menu recommendation method according to claim 1, wherein the user attribute parameters comprise user real-time parameters, the user real-time parameters comprise at least one of user face image parameters and user voice parameters, and the voice parameters comprise at least one of intonation parameters, voice keyword parameters and voice decibel parameters;

3. The recipe recommendation method according to claim 1 or 2, wherein the target parameter further includes a device attribute parameter of the intelligent cooking device, the device attribute parameter including at least an identification parameter of the intelligent cooking device;

4. The recipe recommendation method according to any one of claims 1 to 3, wherein after the cloud service control platform recommends the target recipe to the intelligent cooking device, the method further comprises:

5. The menu recommendation method according to claim 1, wherein the user attribute parameters include user physical health parameters;

6. The menu recommendation method according to claim 1, 2 or 5, wherein the user attribute parameters further comprise a user identity parameter;

and, the method further comprises:

7. The menu recommendation method according to any one of claims 1-6, wherein the user attribute parameters further comprise at least one of a user history menu parameter, a user region parameter, a user preference parameter, a user population parameter, a user gender parameter, and a user age parameter.

8. A menu recommendation method is applied to intelligent cooking equipment and comprises the following steps:

9. The device for recommending the menu is applied to a cloud service control platform and comprises an acquisition module, a determination module and a recommendation module, wherein:

10. An apparatus for recommending recipes, the apparatus comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the recipe recommendation method according to any one of claims 1 to 7.