CN111046273A

CN111046273A - Diet scheme recommendation method and device and terminal equipment

Info

Publication number: CN111046273A
Application number: CN201911064351.8A
Authority: CN
Inventors: 刘辉根; 丁亮
Original assignee: Shenzhen Sanshou Health Management Technology Co Ltd
Current assignee: Shenzhen Sanshou Health Management Technology Co Ltd
Priority date: 2019-11-04
Filing date: 2019-11-04
Publication date: 2020-04-21

Abstract

The method comprises the steps that after the terminal equipment receives dining information input by a user, a recommended dish catalog is generated by combining index data of a user account; receiving a target dish input by a user based on the dish catalog, and generating a dietary value actual value of the target dish according to cooking information of a maker, wherein the dietary value actual value is dietary value index data actually reached by making the target dish based on the cooking information; recommending a maker list to be recommended to the user account corresponding to the dietary value actual value according to the dietary value actual value, wherein the maker list to be recommended comprises one or more maker information providing the target dish. By the method and the device, accurate and reliable recommendation of the user diet scheme is realized, the diet scheme recommendation process is more intuitive and concise, and the diet health problem of the user is guaranteed.

Description

Diet scheme recommendation method and device and terminal equipment

Technical Field

The application belongs to the technical field of computers, and particularly relates to a diet scheme recommendation method and device and terminal equipment.

Background

Reasonable diet is an important factor for ensuring body health, and with the development of science and technology, a plurality of dining recommendation application programs, such as American groups, hungry, public praise, Jingdong arriving at home and the like, appear in the catering field.

In recent years, the reports of user health problems caused by take-out are endless, the scale of users recommended based on application programs is increased to 4.06 hundred million, and diet recommendation results directly influence the daily diet health problems of people; the recommendation process of the existing application program is mainly analyzed based on factors such as distance, popularity, evaluation, price or user historical data, a merchant list is directly recommended, dishes are selected when entering a merchant menu list, if no proper dishes exist in the menu list, the menu list is exited, another merchant is reentered for selection, the dish recommendation mode is complicated and has no pertinence, and the accuracy and the reliability of the recommendation result are low.

Disclosure of Invention

The embodiment of the application provides a recommendation method and device for a diet scheme and terminal equipment, and can solve the problems that an existing dish recommendation mode is tedious and has no pertinence, and the accuracy and reliability of a recommendation result are low.

In a first aspect, an embodiment of the present application provides a method for recommending a diet plan, including:

after receiving meal information input by a user, the terminal equipment generates a recommended dish catalog by combining index data of a user account, wherein the index data is data indicating health information of the user;

receiving a target dish input by a user based on the dish catalog, and generating a dietary value actual value of the target dish according to cooking information of a maker, wherein the dietary value actual value is dietary value index data actually reached by making the target dish based on the cooking information;

recommending a maker list to be recommended to the user account corresponding to the dietary value actual value according to the dietary value actual value, wherein the maker list to be recommended comprises one or more maker information providing the target dish.

Based on the first aspect, after the terminal device receives meal information input by a user, index data in a user account are read, a recommended dish list is generated according to the meal information and the index data, an actual value of a dietary value of a target dish provided by a producer is calculated according to the target dish input based on the dish list, and the producer is recommended to the user account, so that the diet scheme is recommended more accurately and quickly, and meanwhile, the reliability of the recommended diet scheme is ensured by combining the index data of the user account.

In one possible implementation manner of the first aspect, the index data of the user account includes: current index data, target index data and historical recommendation data;

after receiving the dining information input by the user, the terminal equipment generates a recommended dish catalog by combining index data of a user account, and the method comprises the following steps:

calculating a standard value of the dietary value of the dishes related to the meal information according to a preset dish recommendation algorithm according to the current index data, the target index data and the historical recommendation data;

acquiring a theoretical dietary value of the dish associated with the meal information, wherein the theoretical dietary value is nutritional value data marked when a merchant or an individual uploads the dish to a dish library;

calculating the ratio of the theoretical dietary value to the standard dietary value, and taking the ratio as the first dietary value percentage of the dish;

and sequencing the first diet value percentage from big to small to obtain a sequencing result, and generating the recommended dish catalog corresponding to the first diet value percentage according to the sequencing result.

Based on the first aspect, a dietary value standard value which is required to be achieved by dishes related to meal information is calculated based on index data of a user account, a dietary value theory of the dishes is read, the percentage of the dietary value theory value of the dishes meeting the dietary value standard value is calculated to obtain a first dietary value percentage, a recommended dish catalog is generated according to the first dietary value percentage and recommended to the user account, and the user can select the dishes of the index data which are more suitable for the user account according to the first dietary value percentage of the dishes, so that dish recommendation is more accurate, the dietary value information also meets the requirement of the index data, and reliability and accuracy of diet scheme recommendation are ensured.

In a possible implementation manner of the first aspect, the credit score of the dish recommendation algorithm is calculated according to different set weights according to the result accuracy of the recommended dish, the standard value deviation rate of the dietary value, the first dietary value percentage counterfeiting record, the index data change value of the user account and the state value of the dish recommendation algorithm;

and taking the dish recommending algorithm with the largest credit score as the preset dish recommending algorithm.

Based on a possible implementation manner of the first aspect, the reliability of the dish recommendation algorithm is evaluated, so that the standard value of the dietary value of the dish relative to the index data of the user account calculated based on the dish recommendation algorithm is more accurate, the recommended dish better meets the standard of the index data of the user account, and the reliability of the recommended dish meeting the health requirement is ensured.

In a possible implementation manner of the first aspect, the credit score of the cooking recommendation algorithm is calculated according to different set weights according to the result accuracy of the recommendation maker, the deviation rate of the actual value of the dietary value, the counterfeiting record of the actual value of the conformity of the dietary value, the change value of the index data of the user account and the state value of the cooking recommendation algorithm;

and taking the cooking recommendation algorithm with the maximum credit score as the preset cooking recommendation algorithm.

In one possible implementation manner of the first aspect, the cooking information includes food material data and cooking parameters;

receiving a target dish input by a user based on the dish catalog, and generating a dietary value actual value of the target dish according to cooking information of a producer, wherein the method comprises the following steps:

acquiring food material data and cooking parameters of a producer corresponding to the target dish according to the information of the target dish;

and calculating the actual value of the dietary value of the target dish according to a preset cooking recommendation algorithm according to the food material data and the cooking parameters.

In a possible implementation manner of the first aspect, after receiving a target dish input by a user based on the dish catalog and generating a meal value actual value of the target dish according to cooking information of a producer, the method includes:

calculating a ratio of the actual value of the dietary value to the standard value of the dietary value, the ratio being taken as a second percentage of the dietary value of the producer;

and sequencing the second diet value percentage from big to small to obtain a sequencing result, and generating a producer list corresponding to the second diet value percentage according to the sequencing result.

And understandably, combining the actual value of the dietary value, the price of the target dish and the distance information of the producer to generate a recommended list of the producer of the target dish, and recommending the recommended list to the user account.

Exemplarily, when the producer selected by the user is a family, recommending food distribution information and cooking scheme information;

and when the producer selected by the user is the merchant, recommending producer information and target dish information of the producer.

It is to be understood that in one possible implementation of the first aspect, the dish information uploaded by the merchant or the individual is stored to a dish library, which includes package dish information and individual dish information.

In a second aspect, an embodiment of the present application provides a device for recommending a diet plan, including:

the system comprises a first processing module, a second processing module and a third processing module, wherein the first processing module is used for generating a recommended dish catalog by combining index data of a user account after receiving meal information input by a user, and the index data is data indicating health information of the user;

the second processing module is used for receiving a target dish input by a user based on the dish catalog and generating a dietary value actual value of the target dish according to cooking information of a maker, wherein the dietary value actual value is dietary value index data actually reached by making the target dish based on the cooking information;

and the recommending module is used for recommending a maker list to be recommended to the user account corresponding to the dietary value actual value according to the dietary value actual value, wherein the maker list to be recommended comprises one or more maker information for providing the target dish.

In a third aspect, an embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method when executing the computer program.

In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the method.

In a fifth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the method for recommending a diet plan according to any one of the above first aspects.

It is understood that the beneficial effects of the second aspect to the fifth aspect can be referred to the related description of the first aspect, and are not described herein again.

Compared with the prior art, the embodiment of the application has the advantages that: generating a recommended dish catalog by combining the dining information and index information in the user account; and then according to the target dish selected by the user, determining the actual value of the dietary value of the target dish according to the cooking information of the maker, recommending the maker of the target dish according to the actual value of the dietary value, and combining index data indicating user health information in the user account to realize accurate and reliable recommendation of the diet scheme of the user account, so that the recommendation process of the dietary scheme is more visual and concise, the dietary health problem of the user is guaranteed, and the method has stronger usability and practicability.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

FIG. 1 is a schematic diagram of a system for providing recommendations for a suitable dietary regimen in accordance with an embodiment of the present application;

fig. 2 is a block diagram of a partial structure of a mobile phone implementing a diet plan recommendation method according to an embodiment of the present application;

FIG. 3 is a schematic flow chart diagram of a method for recommending a dietary regimen provided in an embodiment of the present application;

FIG. 4 is a schematic flow chart diagram of a method for recommending a dietary regimen provided in accordance with another embodiment of the present application;

FIG. 5 is a schematic diagram of an application scenario interface provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of an application scenario interface provided by another embodiment of the present application;

FIG. 7 is a schematic structural diagram of a device for recommending a dietary regimen provided by an embodiment of the present application;

fig. 8 is a schematic structural diagram of a terminal device according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".

Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.

Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.

Please refer to fig. 1, which is a schematic diagram of a system for providing a recommended dietary regimen according to an embodiment of the present application. The recommendation method for the diet scheme provided by the embodiment of the present application as shown in the figure can be applied to mobile terminals or fixed devices, for example: the intelligent food recommendation system comprises a smart phone 101, a notebook computer 102, a desktop computer 103 and the like, wherein the specific type of terminal equipment is not limited in the embodiment of the application, the terminal equipment performs data interaction with a server 104 in a wired or wireless mode, and the recommendation of a food scheme is realized through the terminal equipment; the wireless method includes internet, WiFi network or Mobile network, wherein the Mobile network may include existing 2G (such as Global System for Mobile Communication (GSM)), 3G (such as Universal Mobile Telecommunications System (UMTS)), 4G (such as FDD LTE, TDD LTE) and 4.5G, 5G.

The terminal device of the embodiment of the present application is described by taking a mobile terminal as an example. Fig. 2 is a block diagram illustrating a partial structure of a mobile phone implementing a diet plan recommendation method according to an embodiment of the present application. Referring to fig. 2, the handset includes: a Radio Frequency (RF) circuit 210, a memory 220, an input unit 230, a display unit 240, a wireless fidelity (WiFi) module 250, a processor 260, and a power supply 270. Those skilled in the art will appreciate that the handset configuration shown in fig. 2 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile phone in detail with reference to fig. 2:

the RF circuit 210 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information of a base station and then processes the received downlink information to the processor 280; in addition, the data for designing uplink is transmitted to the base station. Typically, the RF circuitry includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 210 may also communicate with networks and other devices via wireless communications. For example, when ordering for others through the application program of diet recommendation, the ordering information or delivery information can be notified to the other party in a short message manner. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE)), e-mail, Short Messaging Service (SMS), and the like.

The memory 220 may be used to store software programs and modules, such as programs for performing dietary regimen recommendations; the processor 280 executes various functional applications and data processing of the cellular phone by executing software programs and modules stored in the memory 220. The memory 220 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 220 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 230 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 230 may include a touch panel 231 and other input devices 232. The touch panel 231, also referred to as a touch screen, may collect touch operations of a user (e.g., operations of the user on or near the touch panel 231 using any suitable object or accessory such as a finger, a stylus, etc.) thereon or nearby, and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 231 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it to touch point coordinates, and then provides the touch point coordinates to the processor 280, and can receive and execute commands from the processor 280. In addition, the touch panel 231 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 230 may include other input devices 232 in addition to the touch panel 231. In particular, other input devices 232 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 240 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The display unit 240 may include a display panel 241, and optionally, the display panel 241 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 231 may cover the display panel 241, and when the touch panel 231 detects a touch operation thereon or nearby, the touch panel is transmitted to the processor 280 to determine the type of the touch event, and then the processor 280 provides a corresponding visual output on the display panel 241 according to the type of the touch event. Although in fig. 2, the touch panel 231 and the display panel 241 are two independent components to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 231 and the display panel 241 may be integrated to implement the input and output functions of the mobile phone.

WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 250, and provides wireless broadband Internet access for the user. Although fig. 2 shows the WiFi module 250, it is understood that it does not belong to the essential constitution of the handset, and can be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 260 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 220 and calling data stored in the memory 220, thereby integrally monitoring the mobile phone. Alternatively, processor 260 may include one or more processing units; preferably, the processor 260 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 260.

The handset also includes a power supply 270 (e.g., a battery) for powering the various components, which may preferably be logically connected to the processor 260 via a power management system, such that the power management system may be used to manage charging, discharging, and power consumption.

In addition, although not shown, the mobile phone may further include a bluetooth module, etc., which will not be described herein.

Fig. 3 is a schematic diagram of a software structure of a mobile phone according to an embodiment of the present application. Taking a mobile phone operating system as an Android system as an example, in some embodiments, the Android system is divided into four layers, which are an application layer, an application Framework (FWK) layer, a system layer and a hardware abstraction layer, and the layers communicate with each other through a software interface.

As shown in fig. 3, the application layer may be a series of application packages, which may include short message, calendar, camera, video, navigation, gallery, call, meal recommendation, and other applications.

The application framework layer provides an Application Programming Interface (API) and a programming framework for the application programs of the application layer. The application framework layer may include some predefined functions, such as functions for receiving dietary recommendation events sent by the application framework layer.

As shown in FIG. 3, the application framework layers may include a window manager, a resource manager, and a notification manager, among others.

The window manager is used for managing window programs. For example, the food recommending APP operation interface recommends the dish category to the user in the form of picture or video.

The resource manager provides various resources for the application, such as localized strings, icons, pictures, layout files, video files, and the like.

The notification manager enables the application to display notification information in the status bar, can be used to convey notification-type messages, can disappear automatically after a short dwell, and does not require user interaction. The notification manager may also be a notification that appears in the form of a chart or scroll bar text at the top status bar of the system, such as a status notification of order information for a food recommendation application running in the background, or may be a notification that appears on the screen in the form of a dialog window.

The application framework layer may further include:

a view system, the view system operable to build an application; the display interface may be composed of one or more views. For example, a display interface including a diet recommendation application notification icon may include a view that displays text and a view that displays pictures.

The system layer may include a plurality of functional modules. For example: a sensor service module, a physical state identification module, a three-dimensional graphics processing library (such as OpenGL ES), and the like.

The hardware abstraction layer is a layer between hardware and software. The hardware abstraction layer may include a display driver, a camera driver, a sensor driver, etc. for driving the relevant hardware of the hardware layer, such as a display screen, a camera, a sensor, etc.

The following embodiments may be implemented on a mobile phone having the above-described hardware structure/software structure. The following examples will illustrate the recommendation method of the diet scheme provided in the examples of the present application, taking a mobile phone as an example.

Fig. 4 shows a schematic flow chart of a recommendation method of a diet regime provided by the present application, which may be applied to the above-mentioned mobile phone by way of example and not limitation.

Step S401, after receiving meal information input by a user, the terminal equipment generates a recommended dish catalog by combining index data of a user account, wherein the index data is data indicating health information of the user.

In a possible implementation manner, after a user logs in an application program, meal information can be input in a dish searching column of the application program, and the meal information can include names of food materials, names of dish categories, specific methods, the number of people having meals and the like; according to the historical recommended diet record in the user account, counting the health index information and expected health index information of the user within a certain time period; the health index information may be set according to various indexes, and may be set according to specific requirements of the user, including but not limited to indexes such as food material collocation, nutrients, taste, personnel and several meals, weight and energy, and restriction of harmful substances, and the like, and the required amount and the restricted amount per day are set, for example, a human body should be supplemented with 800mg of calcium element per day, or needs to be supplied with 2-39mg of potassium element per day, and the like.

Specifically, each time meal information input by a user is received, index data indicating user health information in a user account is combined, namely, a menu catalog is recommended for the user according to each item of index data in the user health index information.

It should be noted that the index data indicating the health information of the user may be selected and set according to the needs of the user, and the user may also modify the type of the existing index data, for example, if the user focuses on the intake of the nutritional ingredients recently, the index items of the nutritional ingredients are increased, and if the user focuses on the problem of body weight or body fat within a certain period of time, the index items of the body weight, energy or fat are increased, which is not specifically limited herein.

In one possible implementation, the index data of the user account includes: current index data, target index data and historical recommendation data;

a1, calculating a standard value of the dietary value of dishes related to the meal information according to a preset dish recommendation algorithm according to the current index data, the target index data and the historical recommendation data;

in one embodiment, the current index data is data which is recorded in the user account cumulatively at the moment of acquiring the meal information input by the user and is used for indicating the health information of the user, for example, in a preset time period, the content of nutrients acquired in the preset time period is counted according to the historical meal information recorded in the user account; the target index data is information of health requirements which are set in a preset time period and need to be met, namely values which are expected to be met by each index item set based on management of user health information in the preset time period; the preset dish recommendation algorithm is an algorithm for describing the relationship between human body health index information and food, is provided by a developer according to the nutriology principle, for example, energy components acquired by a human body, a nutrient component calculation method, a food exchange method and the like are determined according to energy conversion, and is an existing recommendation algorithm, for example, one egg is about 55 grams in weight, and the generated energy is 85.8 calories.

A2, acquiring a theoretical dietary value of the dish associated with the meal information, wherein the theoretical value of the dietary value is nutritional value data labeled when a merchant or an individual uploads the dish to a dish library;

in one embodiment, the method comprises the steps of uploading dish information to a dish library by a merchant or an individual, wherein the dish information comprises a dish name and nutritional value data of a dish; the marked nutritional value data is used as a theoretical dietary value of the dish, the theoretical dietary value is set according to the health index data, for example, the food materials which a certain dish needs to be used for matching theoretically, the nutrients which the food materials have, the harmful substances which the food materials have limits, the taste, the weight and the energy which the certain dish has, the suitability for eating by several people and other index items are information, and the theoretical dietary value corresponding to the dish is calibrated according to the information of the index items.

A3, calculating the ratio of the theoretical dietary value to the standard dietary value, and taking the ratio as the first dietary value percentage of the dish;

in one embodiment, the first dietary value percentage is a measure of compliance of the theoretical value of dietary value for each dish with the health requirement of the user account, i.e., the theoretical value of dietary value compliance; the dish library comprises package dish information and single item dish information.

A4, sorting the first diet value percentage from big to small to obtain a sorting result, and generating the recommended dish catalog corresponding to the first diet value percentage according to the sorting result.

In one embodiment, each package dish or single dish corresponds to a first meal value percentage, a corresponding recommended dish catalog is generated according to the sorting result of the first meal value percentage, and dishes which are more in line with the health requirements of the user account are preferentially recommended to the user account.

In a possible implementation manner, corresponding dish information to be recommended can be generated according to meal information and health index items set in index data of a user account; reading the theoretical value of the dietary value of each set of dishes or single dish according to the generated dish information; the theoretical value of the dietary value is the dietary value for calibrating dishes when merchants or individuals upload dish information. The current values and the target expected values of all indexes in the index data of the user account are obtained, and the standard value which the value of the meal selected by the user at the meal is to reach, namely the standard value of the meal value required by the meal value of the user at the meal, is determined.

Specifically, each index of the standard value of the dietary value may include information of food material collocation, nutrients, harmful substance restriction, taste, personnel and several meals; namely, the index information of which food materials are needed by the user, which nutrition is needed, the quantity of harmful substances is limited, which tastes and weights are liked, several people eat the food, the corresponding time requirement of each meal and the like.

It should be noted that the first diet value percentage is used as a measurement value that the theoretical diet value of the dishes meets the health requirement, and provides reference for recommending the dishes, and the larger the first diet value percentage is, the more the corresponding dishes meet the requirement of the standard diet value required by the index data of the user account, and the higher the possibility that the dishes are recommended and selected is.

Optionally, calculating the credit score of the dish recommendation algorithm according to different set weights according to the result accuracy of the recommended dishes, the standard value deviation rate of the dietary value, the percentage counterfeiting record of the first dietary value, the index data change value of the user account and the state value of the dish recommendation algorithm;

In a possible implementation manner, the credit score of the dish recommendation algorithm is calculated to ensure the reliability of the selected dish recommendation algorithm, and further ensure that the recommended dishes better meet the requirement of index data of the user account.

Specifically, the accuracy of the dish recommendation result is the probability of selecting the recommended first dish and the probability of selecting the recommended second dish, which are obtained according to the historical recommendation record, for example, the accuracy is recorded as 100% when the first dish is selected, the accuracy is recorded as 80% when the second dish is selected, and so on, the accuracy of the dish recommendation result corresponding to the dish recommendation algorithm is obtained; the deviation rate of the standard dietary value is used as a deviation detection item according to one or more of the dietary value index items, deviation detection is carried out, or the times of modification of a certain index item by a user are recorded and used as a basis for counting the deviation rate of the theoretical dietary value; the counterfeiting record is that the first diet value percentage is finally obtained for counterfeiting or the dish recommendation algorithm based on the counterfeiting record has counterfeiting; the health information change value of the user account group is a record recommended according to history, the actual change condition of the health information of the user account group is judged, if the actual condition is worse and worse, the used dish recommendation algorithm is proved to have problems, and the credit score of the corresponding dish recommendation algorithm is reduced; whether the dish recommendation algorithm is disclosed or not is used as one of factors for judging the credit score of the algorithm, for example, if the algorithm is disclosed, the corresponding value is set to be 1, and if the algorithm is not disclosed, the corresponding value is set to be 0. The credit score of the dish recommendation algorithm is calculated by setting different weights for all factors, for example, the weight of the accuracy rate of the dish recommendation result is set to 0.2, the weight of the deviation rate of the theoretical value of the dietary value is set to 0.2, the weight of the fraud record is set to 0.3, the weight of the change value of the user account health information is set to 0.2, the weight of whether the dish recommendation algorithm is disclosed is set to 0.1, the credit score of the dish recommendation algorithm is calculated by combining the obtained values of all factors, and the dish recommendation algorithm with the largest credit score is used as the preset dish recommendation algorithm.

It should be noted that the preset dish recommendation algorithm may also be a dish recommendation algorithm selected by the user according to the credit score, and a dish catalog is recommended for the user according to the dish recommendation algorithm selected by the user.

In a possible implementation manner, as shown in fig. 5, in an application scenario interface schematic diagram provided in an embodiment of the application, after meal information input by a user on the basis of a preset dish recommendation algorithm is received through a search bar, a theoretical dietary value of a dish related to the meal information is read according to the meal information, index data in a user account is obtained, and according to the preset dish recommendation algorithm, according to a dietary value index standard value (including standard values corresponding to various indexes of food material collocation, nutrient, harmful substance limitation, taste, personnel and several meals), the health index information is converted into a corresponding dietary value standard value, so that a first dietary value percentage that the theoretical value of the dietary value of the dish meets the requirement of the index data of the user account is determined, the dishes are sorted from large to small according to the first dietary value percentage, and a recommended dish catalog is formed, recommending the generated dish catalog to a user account; the recommended menu catalog includes a set of dishes or a single dish, such as set 1, set 2, and single dish 1 or single dish 2, etc. as shown in fig. 5; the dish is recommended while displaying the magnitude of the theoretical value of compliance with the meal value corresponding to the dish (i.e., the first meal value percentage). Meanwhile, the target meal selected by the user based on the first percentage of dietary value is obtained, e.g., the target meal selected by the user in fig. 5 is package 2.

It should be noted that the diet value index item can be replaced and modified according to the need, for example, replacing the "weight" in the diet value index item in fig. 5 with the "energy"; the "diet value index standard value of the current meal" displayed in fig. 5 may also be "diet value index standard value of 'dinner' this day" displayed according to the time period to which the received meal information time node belongs.

Step S402, receiving a target dish input by a user based on the dish catalog, and generating a dietary value actual value of the target dish according to cooking information of a maker, wherein the dietary value actual value is dietary value index data actually reached by making the target dish based on the cooking information.

In a possible implementation manner, the information of the target dish includes a name of the dish, and a dish material or a cooking manner can be read according to the name of the dish, the dish material can be a name of a main material of the dish, and the cooking manner may include: steaming, boiling, frying, baking, etc. Before a producer is selected, different production schemes of the producer aiming at a target dish are read, an actual dietary value of the cooked target dish is determined according to the production schemes, and the degree or percentage of the dietary value of the target dish provided by the producer meeting the standard dietary value requirement is determined according to the actual dietary value and the standard dietary value, namely the actual dietary value of the target dish provided by the producer meets the metric value of the index data requirement of a user account.

Illustratively, the cooking information includes information such as cooking version, cooking process information, cooking environment information, and a recipe providing method; the cooking version refers to the upgrading information of the cooking scheme, specifically the information of upgrading to the second version and the information of whether to need updating; the cooking process information refers to information such as a nutrition chef certificate, a cooking series tool, a cooking method (including a cooking program of intelligent cooking equipment), a cooking process template video of a making party dish, a making party dish history photo and the like uploaded by a making party; the cooking environment information refers to information such as the cooking position, the recorded video of the sanitary condition, the bowl and chopstick material condition and the like; the information on the food supply mode of the maker is information on the food serving, the takeout, the average time from the completion of cooking to the dining, and the like. The food material information comprises breeding, planting, storing, processing, packaging, food material types, content of harmful substances (various heavy metals, pesticide residues and the like) and other related information.

Wherein the dietary value index data comprises nutrient data, taste data, meal data, weight data, harmful substance limitation data and the like; the calculated actual value of the dietary value of the target dish refers to actual information of all food materials actually used by the target dish, indexes such as actually contained nutrition, harmful substances, tastes and weight of the used food materials after cooking.

In one possible implementation, the cooking information includes food material data and cooking parameters;

b1, acquiring food material data and cooking parameters of a producer corresponding to the target dish according to the information of the target dish;

in one embodiment, food information and cooking information in a recipe that can provide a producer of a target dish is obtained. Specifically, after a target dish selected by a user is received, an instruction of selecting a maker by the user is continuously received, the terminal device sends an information reading instruction to an account of the maker, the account of the maker opens cooking information and corresponding food merchant account information according to the information of the target dish, and the terminal device obtains information such as food material information and price in the account of the food merchant by reading the food merchant account information.

And B2, calculating the actual value of the dietary value of the target dish according to the food material data and the cooking parameters and a preset cooking recommendation algorithm.

In one embodiment, the pre-set cooking recommendation algorithm is a simulated cooking algorithm uploaded by a developer, such as a simulated cooker or the like. And acquiring the actual value of the dietary value of the target dish according to the food material information and the cooking parameters and a preset cooking algorithm, and taking the ratio of the actual value of the dietary value of the target dish to the standard value of the dietary value as a measurement value of the actual value of the dietary value of the target dish meeting the requirement of the index data.

In one possible implementation mode, calculating the credit score of the cooking recommendation algorithm according to different set weights according to the result accuracy of the recommendation maker, the deviation rate of the actual value of the dietary value, the counterfeiting record of the actual value of the dietary value conformity, the change value of the index data of the user account and the state value of the cooking recommendation algorithm;

In one embodiment, the credit score of the cooking recommendation algorithm is calculated to ensure the reliability of the selected cooking recommendation algorithm, further ensuring that the recommended producer meets the requirements of various index data indicating health information in the user account.

Specifically, the result accuracy of the recommended producer is the probability of recommending that a first producer is selected and the probability of recommending that a second producer is selected, which are obtained according to the historical recommendation record, for example, the record accuracy is 100% when the first producer is selected, the record accuracy is 80% when the second producer is selected, and so on to obtain the result accuracy of the recommended producer corresponding to the cooking recommendation algorithm; the deviation rate of the actual value of the dietary value is used as a deviation detection item according to one or more of the index items of the dietary value, deviation detection is carried out, for example, in a sampling mode, food of a producer is sent to a professional detection company for detection according to the deviation detection item through takeout, the detection result of the deviation detection item is compared with the actual value of the dietary value index of the dish of the producer calculated by a cooking recommendation algorithm, and the comparison result is used as a basis for counting the deviation rate of the actual value of the dietary value; the counterfeiting record is used for counterfeiting the finally obtained actual value of the dietary value conformity or the counterfeiting of the cooking recommendation algorithm according to which the dishes are obtained; the change value of the health information of the user account group is a record recommended according to history, the actual change condition of the health information of the user account group is judged, if the actual condition is worse and worse, the used cooking recommendation algorithm is proved to have problems, and the credit score of the corresponding cooking recommendation algorithm is reduced; whether the cooking recommendation algorithm is disclosed or not is used as one of factors for judging the credit score of the algorithm, for example, if the algorithm is disclosed, the corresponding factor value is set to be 1, and if the algorithm is not disclosed, the corresponding factor value is set to be 0. The credit score of the cooking recommendation algorithm is calculated by setting different weights for all factors, for example, the weight of the result accuracy of the recommendation maker is set to be 0.2, the weight of the deviation rate of the actual value of the dietary value is set to be 0.2, the weight of the fraud record is set to be 0.3, the weight of the change value of the user account health information is set to be 0.2, the weight of whether the cooking recommendation algorithm is disclosed is set to be 0.1, the credit score of the cooking recommendation algorithm is calculated by combining the obtained values of all factors, and the cooking recommendation algorithm with the largest credit score is used as the preset cooking recommendation algorithm.

It should be noted that the preset cooking recommendation algorithm may also be a received cooking recommendation algorithm selected by the user according to the credit score, and a maker recommending target dishes for the user account according to the cooking recommendation algorithm selected by the user.

Step S403, recommending a maker list to be recommended to the user account corresponding to the actual value of the dietary value according to the actual value of the dietary value, wherein the maker list to be recommended comprises one or more maker information for providing the target dish.

In a possible implementation mode, a producer of a target dish is sequenced according to the sequence of the actual values of the dietary values from large to small, the producer, the target dish and the food material value are recommended to a user, and a list of producers to be recommended comprises one or more producers information providing the target dish; specifically, the recommendation to the user account can be made in the form of a party list.

Illustratively, the actual value of the meal value, the price of the target dish and the distance information of the producer are combined to generate a recommendation list of the producer of the target dish, and the recommendation list is recommended to the user account.

In one possible implementation manner, after receiving a target dish input by a user based on the dish catalog and generating an actual value of a dietary value of the target dish according to cooking information of a producer, the method includes:

c1, calculating the ratio of the actual value of the dietary value to the standard value of the dietary value, and taking the ratio as the second dietary value percentage of the producer;

in one embodiment, the second percentage of the dietary value is a measure of compliance of the actual value of the dietary value for each meal with the health requirements of the user account, i.e., the actual value of the dietary value compliance.

And C2, sequencing the second diet value percentage from big to small to obtain a sequencing result, and generating a producer list corresponding to the second diet value percentage according to the sequencing result.

In one embodiment, each package dish or single dish corresponds to a second meal value percentage, a recommendation list of corresponding target dish makers is generated according to the sorting result of the second meal value percentage, and the target dish makers which are more in line with the health requirements of the user account are preferentially recommended to the user account.

By way of example and not limitation, as shown in fig. 6, an application scenario interface diagram provided in another embodiment of the present application includes a plurality of specific recommendation scenarios when a producer is recommended for a user; the method comprises the following scenes of eating at home, eating outside or taking out. Recommending food material distribution information and cooking scheme information when the producer selected by the user is a family; and when the producer selected by the user is the merchant, recommending producer information and target dish information of the producer.

For example, when a meal is taken outside or a scene outside is selected, the meal value matching degree actual value (i.e., the second meal value percentage) of the target dish, the price of the target dish and the distance of the producer are combined to generate a recommendation list, and the recommendation list is recommended to the user account. When a scene of eating at home is selected, food material merchants capable of providing food material information can be recommended to the user according to the read food material information corresponding to the target dish, or the food materials are distributed in a key mode according to the food material selected by the user, and the distribution information is notified to the corresponding merchants.

In one embodiment, the actual value of dietary value comprises a percentage of a dietary value indicator for the target meal; the recommendation method of the diet scheme comprises the following steps:

and calculating the diet health score obtained by the user account in a preset unit time based on the target dish and the target dish maker according to the percentage of the dietary value index.

In one possible implementation, the percentage of the dietary value indicator is the degree to which the dietary indicator affects the health information, i.e., the indicator weight value.

In addition, according to the daily dining condition of the user account, setting weight values corresponding to the dining time respectively, for example, a certain day of dining is made into three meals, dividing the weight of each meal according to the influence degree of each meal on the health of the user, and calculating the health score of each meal; when the total score of the health scores is 100, and the weights corresponding to the three meals, i.e., breakfast, chinese meal, and dinner, are 40%, 30%, and 30%, respectively, the health score of breakfast 100 × 40% is 40 points, the health score of chinese meal 100 × 30% is 30 points, and the health score of dinner 100 × 30% is 30 points.

Further, setting corresponding weights according to the influence degree of each item in the dietary value indexes of each meal on the health of the user, and calculating the health score of each index, wherein the dietary value index weights of breakfast are as follows: 30% of nutrient, 30% of harmful substance limitation, 20% of food collocation, 10% of taste and 10% of several meals, wherein the health fraction of the nutrient is 40-30 × 12, the health fraction of the harmful substance limitation is 40-30 × 12, the health fraction of the food collocation is 40-20 × 8, the health fraction of the taste is 40-10 × 4, and the health fraction of the several meals is 40-10 × 4, so that the sum of the health fractions of the indexes of breakfast is 12+12+8+4+ 40. And by analogy, respectively calculating the sum of the health scores of the indexes of the Chinese meal and the dinner.

Specifically, according to the actual value of the dietary value conformity of the breakfast making side dish, namely which indexes of the dietary value indexes of the making side dish are the standard values of the dietary value, the health scores corresponding to the conforming indexes are added (calculated according to the health score occupied by each index in a certain meal) to serve as the health scores of the breakfast making side dish, and the health scores of the Chinese meal making side dish and the dinner making side dish are sequentially calculated; then, calculating the score obtained by the diet of today as the health score obtained by the breakfast making side dish, the health score obtained by the Chinese meal making side dish and the health score obtained by the dinner making side dish, wherein the score obtained by the diet of today is the health score obtained by the breakfast making side dish, the breakfast dining time deviation coefficient, the health score obtained by the Chinese meal making side dish, the Chinese meal dining time deviation coefficient, the health score obtained by the dinner making side dish, and the dinner dining deviation coefficient to obtain the health score obtained by the diet of today; the meal time deviation coefficient is a number between 0 and 1, and contains 1, and is used for describing the deviation degree of the actual meal time of each meal and the meal time required in several meal systems, and the deviation coefficient is set according to the deviation degree, wherein the several meal system index items comprise information of several meals required by each person every day, the meal weight of each meal, the meal time of each meal and the like.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

According to the embodiment, after meal information is received, the theoretical value of the dietary value of dishes related to the meal information can be read according to the meal information, the theoretical value of the dietary value conformity of the dishes is determined by acquiring the health index information in a user account and calculating and converting the health index information into the corresponding standard value of the dietary value according to a preset dish recommendation algorithm, and dishes are sorted according to the theoretical value of the dietary value conformity from big to small to generate a dish catalog and recommended to the user account; further calculating to obtain the actual value of the dietary value of the target dish according to the information of the target dish selected by the user and a preset cooking recommendation algorithm, thereby determining the actual value of the dietary value conformity of the target dish provided by the producer, sequencing the actual values of the dietary value conformity from big to small, and recommending the corresponding producer to a user account; by combining the health index information of the user account, the theoretical value of the dietary value conformity of the dishes and the actual value of the dietary value conformity, the dishes meeting the requirement of the user health index information are recommended firstly, then the producer of the target dish is recommended according to the production scheme of the producer of the dish, and the accurate and reliable recommendation of the user dietary scheme is realized by combining the food material and the cooking behavior in the user dietary process with the information change of the food and the health information change of the user, so that the dietary scheme recommendation process is more convenient and direct, and the dietary health problem of the user is guaranteed.

Fig. 7 shows a block diagram of a recommendation device for a dietary plan provided in an embodiment of the present application, which corresponds to the recommendation method for a dietary plan described in the above embodiment.

Referring to fig. 7, the apparatus includes:

the first processing module 71 is configured to generate a recommended dish catalog in combination with index data of a user account after meal information input by a user is received, where the index data is data indicating health information of the user;

a second processing module 72, configured to receive a target dish input by a user based on the dish catalog, and generate a dietary value actual value of the target dish according to cooking information of a producer, where the dietary value actual value is dietary value index data actually achieved by producing the target dish based on the cooking information;

and the recommending module 73 is configured to recommend a list of to-be-recommended producers corresponding to the actual value of the dietary value to the user account according to the actual value of the dietary value, where the list of to-be-recommended producers includes one or more producers providing the target dish.

It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. In the embodiments, each functional unit and each module may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware or a form of software functional unit, which is not described herein again.

Fig. 8 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 8, the terminal device 8 of this embodiment includes: at least one processor 80 (only one shown in fig. 8), a memory 81, and a computer program 82 stored in the memory 81 and executable on the at least one processor 80, the processor 80 implementing the steps in the recommended method embodiments of any of the various dietary regimens described above when executing the computer program 82.

The terminal device 8 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 80, a memory 81. Those skilled in the art will appreciate that fig. 8 is merely an example of the terminal device 8, and does not constitute a limitation of the terminal device 8, and may include more or less components than those shown, or combine some components, or different components, such as an input-output device, a network access device, and the like.

The Processor 80 may be a Central Processing Unit (CPU), and the Processor 80 may be other general purpose Processor, 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, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 81 may in some embodiments be an internal storage unit of the terminal device 8, such as a hard disk or a memory of the terminal device 8. In other embodiments, the memory 81 may also be an external storage device of the terminal device 8, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 8. Further, the memory 81 may also include both an internal storage unit and an external storage device of the terminal device 8. The memory 81 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 81 may also be used to temporarily store data that has been output or is to be output.

The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned method embodiments.

The embodiments of the present application provide a computer program product, which when running on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments when executed.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), random-access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. A method for recommending a dietary regimen, comprising:

2. A method for recommending a dietary regimen according to claim 1, characterized in that the metric data of the user account comprises: current index data, target index data and historical recommendation data;

3. The method for recommending a dietary regimen according to claim 2,

calculating the credit score of the dish recommendation algorithm according to different set weights according to the accuracy rate of the result of the recommended dish, the standard value deviation rate of the dietary value, the percentage counterfeiting record of the first dietary value, the index data change value of the user account and the state value of the dish recommendation algorithm;

4. A method of recommending a dietary regimen according to claim 1, characterized in that the cooking information comprises food material data and cooking parameters;

5. A recommendation method for a dietary regimen according to claim 4,

calculating the credit score of the cooking recommendation algorithm according to different set weights according to the result accuracy of the recommendation maker, the deviation rate of the actual value of the dietary value, the counterfeiting record of the actual value of the dietary value conformity, the data change value of the user account index and the state value of the cooking recommendation algorithm;

6. The method of claim 2, wherein receiving a target dish input by a user based on the catalog of dishes, after generating an actual value of a dietary value of the target dish according to cooking information of a producer, comprises:

7. The method of claim 1, wherein the actual value of dietary value comprises a percentage index of dietary value for the target meal;

the recommendation method of the diet scheme comprises the following steps:

8. A dietary regime recommendation apparatus comprising:

9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.