CN109285597A - A kind of dietotherapy recipe recommendation method, apparatus and readable medium - Google Patents
A kind of dietotherapy recipe recommendation method, apparatus and readable medium Download PDFInfo
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- 235000013305 food Nutrition 0.000 claims abstract description 174
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- 201000010099 disease Diseases 0.000 claims abstract description 49
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- 208000024891 symptom Diseases 0.000 claims abstract description 38
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- 238000002560 therapeutic procedure Methods 0.000 claims description 99
- 235000005911 diet Nutrition 0.000 claims description 41
- 235000019242 dietary recipe Nutrition 0.000 claims description 25
- 230000000378 dietary effect Effects 0.000 claims description 22
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- 240000006394 Sorghum bicolor Species 0.000 description 3
- 235000011684 Sorghum saccharatum Nutrition 0.000 description 3
- 206010012601 diabetes mellitus Diseases 0.000 description 3
- 238000010295 mobile communication Methods 0.000 description 3
- 235000009025 Carya illinoensis Nutrition 0.000 description 2
- 244000068645 Carya illinoensis Species 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 2
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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Abstract
The invention discloses a kind of dietotherapy recipe recommendation method, apparatus and readable mediums, obtain the essential information of user, according to the dimension of disease name, the symptom information and the essential information in essential information, it is that the user matches food word bank from health knowledge map, the food word bank includes the candidate food materials for allowing the user to eat, the corresponding relationship being stored between user basic information and food materials in the health knowledge map；It is that the user recommends dietotherapy recipe using dietotherapy recommender system according to the essential information of the food word bank and the user.By using the above method, it rationally can recommend a set of dietotherapy recipe for user, so that user improves the health status of user based on the dietotherapy recipe of recommendation, improve the usage experience of user.
Description
Technical Field
The invention relates to the technical field of food therapy, in particular to a food therapy recipe recommendation method, a food therapy recipe recommendation device and a readable medium.
Background
In recent years, chronic diseases such as hypertension and diabetes mellitus are more and more, people pay more and more attention to health preservation along with the popularization of chronic diseases on the side of people, scientific diet is a necessary factor of health preservation, and therefore, a food therapy method is produced, but most of the prior art mainly adopts information or a question and answer mode to introduce which functions a certain thing has or which diseases can be relieved by eating which foods. Specific people can eat what respectively, only can summarize or inquire on the internet by themselves, and no relevant platform can recommend the food.
Therefore, how to recommend reasonable food according to the user's disease is one of the primary considerations.
Disclosure of Invention
The embodiment of the invention provides a dietary therapy recipe recommendation method, a device and a readable medium, which are used for reasonably recommending a dietary therapy recipe for a disease patient and improving the health condition of a user through dietary therapy.
In a first aspect, an embodiment of the present invention provides a dietary recipe recommendation method, including:
acquiring basic information of a user, wherein the basic information comprises a disease name of the user and symptom information of the user;
matching a food sub-library for the user from a health knowledge graph according to the disease name, the symptom information and the dimension of the basic information, wherein the food sub-library comprises candidate food materials allowed to be eaten by the user, and the health knowledge graph stores the corresponding relation between the basic information of the user and the food materials;
and recommending a food therapy recipe for the user by using a food therapy recommendation system according to the food sub-library and the basic information of the user.
Preferably, the basic information further includes at least one of: gender, height, weight, region information and season information of the user.
Preferably, matching a food sub-library for the user from a health knowledge graph according to the disease name and the dimensions of the symptom information and the basic information specifically comprises:
searching a food library meeting the dimensionality of the basic information from the health knowledge graph;
matching a food sub-library corresponding to the disease name and the symptom information from the food library.
Optionally, the method further comprises:
determining whether the user is satisfied with the recommended dietary therapy recipe;
and when the user is determined to be dissatisfied, recalling the food therapy recommendation system to recommend a food therapy recipe for the user again.
In a second aspect, an embodiment of the present invention provides a dietary recipe recommendation device, including:
an acquisition unit configured to acquire basic information of a user, the basic information including a disease name of the user and symptom information of the user;
the matching unit is used for matching a food sub-library for the user from a health knowledge graph according to the disease name, the symptom information and the dimensionality of the basic information, wherein the food sub-library comprises candidate food materials allowed to be eaten by the user, and the health knowledge graph stores the corresponding relation between the basic information of the user and the food materials;
and the recommending unit is used for recommending a food therapy recipe for the user by using a food therapy recommending system according to the food sub-library and the basic information of the user.
Preferably, the basic information further includes at least one of: gender, height, weight, region information and season information of the user.
Preferably, the recommending unit is used for searching a food library meeting the dimensionality of the basic information from a health knowledge graph; matching a food sub-library corresponding to the disease name and the symptom information from the food library.
Optionally, the apparatus further comprises:
a determination unit for determining whether the user is satisfied with respect to the recommended dietary recipe;
and the recommending unit is further used for recalling the food therapy recommending system to recommend the food therapy recipe for the user again when the dissatisfaction is determined.
In a third aspect, embodiments of the present invention provide a non-transitory computer storage medium storing computer-executable instructions for performing the dietary recipe recommendation method provided in the present application.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the dietary recipe recommendation methods provided herein.
The invention has the beneficial effects that:
according to the dietary therapy recipe recommendation method, the dietary therapy recipe recommendation device and the readable medium, basic information of a user is obtained, a food sub-library is matched for the user from a health knowledge graph according to a disease name, the symptom information and the dimension of the basic information in the basic information, the food sub-library comprises candidate food materials allowed to be eaten by the user, and the health knowledge graph stores corresponding relations between the basic information of the user and the food materials; and recommending a food therapy recipe for the user by using a food therapy recommendation system according to the food sub-library and the basic information of the user. By adopting the method, a set of dietary therapy recipes can be reasonably recommended to the user, so that the health condition of the user is improved based on the recommended dietary therapy recipes, and the use experience of the user is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a computing device 10 for implementing a dietary recipe recommendation method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for recommending a diet recipe according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of matching a sub-library of food for the user from a health knowledge graph according to an embodiment of the present invention;
fig. 4 is a second schematic flow chart of a dietary recipe recommendation method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a dietary recipe recommendation device according to an embodiment of the present invention;
fig. 6 is a schematic hardware structure diagram of an electronic device for implementing a dietary recipe recommendation method according to an embodiment of the present invention.
Detailed Description
The dietary therapy recipe recommendation method, the device and the readable medium provided by the embodiment of the invention are used for reasonably recommending the dietary therapy recipe for the disease patient and improving the health condition of the user through the dietary therapy.
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings of the specification, it being understood that the preferred embodiments described herein are merely for illustrating and explaining the present invention, and are not intended to limit the present invention, and that the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.
In order to solve the problem that the prior art cannot recommend a reasonable recipe for a patient with a disease so as to improve the health condition of the user through food therapy, the embodiment of the invention provides a solution, and provides a computing device 10, wherein the computing device 10 implements the food therapy recipe recommendation method provided by the invention, and the computing device can be represented in the form of a general computing device, and the general computing device can be a terminal or a server. A computing device 10 according to the present invention is described below with reference to fig. 1. The computing device 10 shown in FIG. 1 is only one example and should not be taken to limit the scope of use and functionality of embodiments of the present invention.
As shown in FIG. 1, computing device 10 is embodied in the form of a general purpose computing device. Components of computing device 10 may include, but are not limited to: the at least one processing unit 11, the at least one memory unit 12, and a bus 13 connecting the various system components (including the memory unit 12 and the processing unit 11).
Bus 13 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.
The storage unit 12 may include readable media in the form of volatile memory, such as Random Access Memory (RAM)121 and/or cache memory 122, and may further include Read Only Memory (ROM) 123.
The storage unit 12 may also include a program/utility 125 having a set (at least one) of program modules 124, such program modules 124 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Computing device 10 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with computing device 10, and/or with any devices (e.g., router, modem, etc.) that enable computing device 10 to communicate with one or more other computing devices. Such communication may be via an input/output (I/O) interface 15. Moreover, computing device 10 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via network adapter 16. As shown, network adapter 16 communicates with other modules for computing device 10 over bus 13. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computing device 10, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The application scenario of the dietary therapy recipe recommendation method provided by the embodiment of the invention is that after a user inputs basic information of the user based on an external device 14 provided by a computing device 10, the computing device 10 acquires the basic information of the user based on the basic information, and then matches a food sub-library for the user from a health knowledge graph according to a disease name, symptom information and dimensions of the basic information included in the basic information, wherein the food sub-library includes candidate food materials allowed to be eaten by the user, and the health knowledge graph stores corresponding relations between the basic information of the user and the food materials; and finally, recommending a food therapy recipe for the user by using a food therapy recommendation system according to the food sub-library and the basic information of the user. By implementing the above method, the computing device 10 can reasonably recommend a food therapy suitable for the user to the user, so that the user can improve the health condition of the user based on the food therapy recipe recommended by the present invention.
Based on the above application scenario and the schematic structural diagram of the computing device 10 in fig. 1 for implementing the dietary recipe recommendation method provided by the present invention, the following describes a method for evaluating a user action provided by the present invention. As shown in fig. 2, a schematic flow chart of a dietary recipe recommendation method provided by an embodiment of the present invention includes the following steps:
s21, obtaining basic information of the user, wherein the basic information comprises the disease name of the user and the symptom information of the user.
In this step, the computing device 10 may further have a display device, and an interface for inputting the basic information of the user is presented to the user through the display device, so that the user inputs the basic information of the user based on the interface.
Since the present invention is used for a dietary recipe recommendation, the present invention requires a user to input the name of a disease the user suffers from and the symptom information the user exhibits, so that the computing device 10 recommends a dietary recipe for the user.
Preferably, the basic information of the user in the present invention may further include, but is not limited to, at least one of the following: gender, height, weight, region information, season information and the like of the user.
It should be noted that the region information in the present invention refers to the location information where the user currently uses the computing device 10 provided by the present invention, and the location information may be province, city, county, town or village level, for example, the region information input by the user is only XX province, or the region information input by the user is XX province, XX city, etc. The season information in the present invention may be a season when the user uses the computing device 10 provided by the present invention, and if the date input by the user is 2018.8.29, the computing device 10 may calculate that the season corresponding to the date input by the computing device is autumn based on the date, or the computing device 10 presents the user with a season option and then the user selects a season as an input, and thus the season information may be acquired.
And S22, matching a food sub-library for the user from the health knowledge map according to the disease name, the symptom information and the dimension of the basic information in the basic information.
The food sub-library comprises candidate food materials which are allowed to be eaten by the user, and the health knowledge graph stores the corresponding relation between the basic information of the user and the food materials.
The knowledge graph breaks the limitation of a relational database and has strong expression capability and knowledge representation capability. In the health field, a reasonable diet therapy recipe can be recommended for a user by constructing a health knowledge map. Based on the description, a health knowledge map is constructed in advance according to some health guidance knowledge bases in the traditional Chinese medicine field such as traditional Chinese medicine physique science, and the health knowledge map stores the corresponding relations among disease names, symptoms and recipes of various diseases. Thus, by performing step S22, a recipe corresponding to the disease name and the symptom information of the user can be matched to the user from the correspondence stored in the health knowledge map according to the disease name and the symptom information of the user.
Preferably, in order to recommend the diet therapy recipes to the users with diseases better and reasonably, the health knowledge map in the invention can establish the relationship between the diseases and symptoms and the food materials and recipes, wherein the relationship is suitable for eating and forbidden to eat with the recommendation degree. Namely: more elements can be configured in the health knowledge graph, because the same disease may show different symptom information due to different sex, region or season information of the patient, the corresponding relation between at least one element and the recipe can be configured in the health knowledge graph, and the element is at least one of the following elements: the information of the disease name, the symptom information, the age, the sex, the height, the weight, the region information and the season information, so that the food sub-library can be matched for the user from the health knowledge platform according to elements contained in the basic information input by the user.
Preferably, step S22 can be executed according to the flow shown in fig. 3, which includes the following steps:
and S31, searching a food library meeting the dimensionality of the basic information from the health knowledge graph.
And S32, matching a food sub-library corresponding to the disease name and the symptom information from the food library.
In the invention, food banks with different dimensions can be stored, the food banks corresponding to various diseases and symptom information under the dimensions are stored in the food banks, candidate food materials suitable for the diseases and the symptom information are stored in the food banks, the dimensions in the invention are related to the number of the elements, for example, the elements in the health knowledge graph comprise disease names, symptom information, sexes, heights, weights, region information and season information, namely, 7 elements in total, the dimensions can be 7, and the dimensions are variable, because some diseases are possibly unrelated to the elements. For example, an element with dimension 6 may be: the disease name, symptom information, sex, height, weight and region information can be combined with other 6 elements, which is determined according to the actual situation. The relationship between dimensions, elements and food banks in the present invention can be found in table 1:
TABLE 1
In table 1, the element combination refers to a combination of L elements satisfying the dimension, for example, if the dimension L is 2, there may be more than one element combination satisfying the dimension L is 2, and the elements in the element combination may also be varied, and the specific requirements are determined according to actual situations. For example, element combination a with dimension L ═ 2 can be disease name and symptom information; the element combination B may include a disease name and regional information.
Similarly, the food libraries corresponding to the element combination a are also different, for example, the disease name in the element combination a is diabetes and symptom information thereof, in practical application, there may be more than one candidate food suitable for diabetics, and the element combination a corresponds to a plurality of food sub-libraries. In addition, there are many disease names in the element combination a, for example, if the disease name in the combination a is hypertension and its symptom information 2, the food pool corresponding to hypertension is different from the food pool corresponding to diabetes, and further the corresponding food sub-pools are different. Therefore, the corresponding relation in the table 1 can be further subdivided according to the actual situation, so that the health knowledge graph provided by the invention can be used for accurately matching the candidate food materials for the user.
By setting the health knowledge map, the reasonable diet therapy recipes can be recommended for users in different seasons and different regions on line, and the diet therapy recipes recommended according to the physical conditions of the users enable the users to perform diet therapy health maintenance more scientifically and reasonably and improve the health conditions of the users.
And S23, recommending a food therapy recipe for the user by using a food therapy recommendation system according to the food sub-library and the basic information of the user.
In specific implementation, after a suitable candidate food material is matched for the user according to the basic information and the dimension of the user based on step S23, in order to recommend a reasonable diet recipe to the user, the diet therapy recommendation system of the present invention is also called, and the diet therapy recommendation system can generate a diet recipe for the user according to the candidate food material in the sub-library of food matched for the user.
Specifically, the food therapy recommendation system is used for generating a set of food therapy recipes for the user based on a certain recommendation rule according to the basic information of the user and the candidate food materials matched with the user, and the food therapy recommendation system has a plurality of recommendation rules. For example, the recommendation rules in the dietary therapy recommendation system include rules of food prohibition, food preference, nutrition balance and the like, and these recommendation rules can be used in combination, and can be determined according to actual conditions.
Specifically, when a diet therapy recipe is generated according to candidate food materials in the food sub-library, the diet therapy recommendation system can determine main food and auxiliary food in the candidate food materials according to the basic information of the user, and further can determine the intake amount of each candidate food material in a meal. For example, mr. wang from Qingdao, with type 2 diabetes, the user may input the region information-Qingdao, disease name-type 2 diabetes, etc. into the computing device 10, whereby the computing device 10 matches the food sub-library for mr. wang by implementing the methods of steps S21-S23, e.g., the matched food sub-library is: sea cucumber, hazelnuts, pecans, roughage and sorghum products, and then the computing device 10 can generate a set of dietary therapy recipes for mr. wang according to the above described food seed bank, namely: the sea cucumber, hazelnut and hickory are recommended to be eaten, and the coarse grain is recommended to be used as a staple food and matched with a sorghum product. Furthermore, the intake of sea cucumber, hazelnut, pecan, coarse grain and sorghum products can be respectively determined according to the basic information of the user.
Preferably, in practical application, functions of the food materials may not be unique, and the two food materials have the same efficacy, so that a user can pre-annotate foods which the user dislikes to eat and like in the food therapy recommendation system in the invention, so that the food therapy recommendation system can determine whether the candidate food materials contain the foods which the user dislikes when recommending a food therapy recipe for the user, if so, a substitute food material with the same efficacy as the food material can be searched, and then a set of food therapy recipe is generated for the user based on other candidate food materials and the substitute food material.
Preferably, the dietary therapy recipe recommendation method provided by the invention further comprises the following steps:
the method comprises the following steps: determining whether the user is satisfied with the recommended dietary therapy recipe;
step two: and when the user is determined to be dissatisfied, recalling the food therapy recommendation system to recommend a food therapy recipe for the user again.
Specifically, after recommending a food therapy recipe to the user, the computing device 10 may present a questionnaire survey interface to the user through a display device configured on the computing device, where the questionnaire survey interface is used to inquire whether the user is satisfied with the recommended food therapy recipe, for example, two options of satisfaction and dissatisfaction occur, and the user may select one option according to actual conditions and then click a determination button in the interface, so that the computing device 10 may determine whether the user is satisfied with the recommended food therapy recipe, and if so, the flow ends; if the user is not satisfied, a set of diet therapy recipes can be re-generated for the user according to the recommendation rules configured in the diet therapy recommendation system, for example, the diet therapy recommendation system recommends the diet therapy recipes for the user according to the edible rules before, and when the user is not satisfied, a set of diet therapy recipes can be re-recommended for the user according to the nutrition balance rules.
By determining the satisfaction condition of the user for the recommended food therapy recipe, the selection preference of the user can be recorded, so that the food therapy recipe more suitable for the user can be recommended to the user better.
Preferably, step one and step two can be implemented according to the flow shown in fig. 4, including the following steps:
and S41, determining the satisfaction degree of the user for the recommended food therapy recipe.
S42, determining whether the satisfaction is larger than a preset satisfaction threshold, and if not, executing a step S43; if yes, the process is ended.
And S43, recalling the food therapy recommendation system to recommend a food therapy recipe for the user.
Specifically, in steps S41 to S43, the computing device 10 may further display an interface with an input box to the user, and the interface indicates that "please the user input a value of 0 to 100", and the larger the value is, the higher the satisfaction degree is, so that the user may score the food therapy recipe recommended by the user based on the food therapy recipe recommended by the computing device 10, that is, input a score in the input box, where the score is the satisfaction degree of the user with respect to the recommended food therapy recipe, and thus the computing device page may obtain the satisfaction degree of the user with respect to the food therapy recipe recommended by the user. When the computing device 10 determines that the satisfaction degree input by the user is less than the preset satisfaction degree threshold value, a set of food therapy recipes is recommended for the user again according to other recommendation rules.
By adopting the dietary therapy recipe recommendation method provided by the invention, the basic information of a user is obtained, and a food sub-library is matched for the user from a healthy knowledge graph according to the disease name, the symptom information and the dimension of the basic information in the basic information, wherein the food sub-library contains candidate food materials allowed to be eaten by the user, and the healthy knowledge graph stores the corresponding relation between the basic information of the user and the food materials; and recommending a food therapy recipe for the user by using a food therapy recommendation system according to the food sub-library and the basic information of the user. By adopting the method, a set of dietary therapy recipes can be reasonably recommended to the user, so that the health condition of the user is improved based on the recommended dietary therapy recipes, and the use experience of the user is improved.
Based on the same conception, the embodiment of the invention also provides a food therapy recipe recommendation device, and as the principle of solving the problems of the device is similar to the food therapy recipe recommendation method, the implementation of the device can refer to the implementation of the method, and repeated parts are not described again.
As shown in fig. 5, a schematic structural diagram of a dietary recipe recommendation device provided in an embodiment of the present invention includes:
an acquisition unit 51 for acquiring basic information of a user, the basic information including a disease name of the user and symptom information of the user;
a matching unit 52, configured to match a sub-food library for the user from a health knowledge graph according to the disease name, the symptom information, and the dimension of the basic information, where the sub-food library includes candidate food materials allowed for the user to eat, and the health knowledge graph stores a corresponding relationship between the basic information of the user and the food materials;
and the recommending unit 53 is configured to recommend a dietary recipe for the user by using a dietary recommendation system according to the food sub-library and the basic information of the user.
Preferably, the basic information further includes at least one of: gender, height, weight, region information and season information of the user.
Preferably, the recommending unit 53 is configured to search a health knowledge graph for a food library satisfying the dimension of the basic information; matching a food sub-library corresponding to the disease name and the symptom information from the food library.
Preferably, the dietary therapy recipe recommendation device provided by the invention further comprises:
a determination unit 54 for determining whether the user is satisfied with the recommended dietary recipe;
and the recommending unit 53 is further configured to recall the food therapy recommending system to recommend the food therapy recipe for the user again when the dissatisfaction is determined.
For convenience of description, the above parts are separately described as modules (or units) according to functional division. Of course, the functionality of the various modules (or units) may be implemented in the same or in multiple pieces of software or hardware in practicing the invention.
Based on the same inventive concept, the embodiment of the present invention further provides a non-volatile computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions may execute the dietary recipe recommendation method in any of the above method embodiments.
Based on the same inventive concept, an embodiment of the present invention further provides an electronic device for implementing the method for recommending a food therapy recipe provided by the present invention, and fig. 6 is a schematic diagram of a hardware structure of the electronic device for implementing the method for recommending a food therapy recipe provided by the embodiment of the present invention, as shown in fig. 6, the electronic device includes:
one or more processors 610 and a memory 620, with one processor 610 being an example in fig. 6.
The electronic device performing the dietary recipe recommendation method may further include: an input device 660 and an output device 640.
The processor 610, the memory 620, the input device 660, and the output device 640 may be connected by a bus or other means, such as by a bus connection in fig. 6.
The memory 620 is used as a non-volatile computer-readable storage medium and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules/units (for example, the obtaining unit 51, the matching unit 52, and the recommending unit 53 shown in fig. 5) corresponding to the dietary recipe recommending method in the embodiment of the present application. The processor 610 executes various functional applications and data processing of the server or the intelligent terminal by executing the nonvolatile software program, instructions and modules/units stored in the memory 620, so as to implement the food therapy recipe recommendation method of the above-mentioned method embodiment.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the diet recipe recommendation apparatus, and the like. Further, the memory 620 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 non-volatile solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the dietary recipe recommendation device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 660 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the dietary recipe recommendation device. The output device 640 may include a display device such as a display screen.
The one or more modules are stored in the memory 620 and, when executed by the one or more processors 610, perform a dietary recipe recommendation method in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.
The electronic device of the embodiments of the present application exists in various forms, including but not limited to:
(1) a mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) Ultra mobile personal computer device: the equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc., such as ipads.
(6) A portable entertainment device: such devices can display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) A server: the device for providing the computing service comprises a processor, a hard disk, a memory, a system bus and the like, and the server is similar to a general computer architecture, but has higher requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like because of the need of providing high-reliability service.
(5) And other electronic devices with data interaction functions.
The food therapy recipe recommendation device provided by the embodiment of the invention can be realized by a computer program. It should be understood by those skilled in the art that the above-mentioned division of the modules is only one of many divisions of the modules, and if the division into other modules or no division into modules is performed, it is within the scope of the present application as long as the food therapy recipe recommendation apparatus has the above-mentioned functions.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A dietary recipe recommendation method is characterized by comprising the following steps:
acquiring basic information of a user, wherein the basic information comprises a disease name of the user and symptom information of the user;
matching a food sub-library for the user from a health knowledge graph according to the disease name, the symptom information and the dimension of the basic information, wherein the food sub-library comprises candidate food materials allowed to be eaten by the user, and the health knowledge graph stores the corresponding relation between the basic information of the user and the food materials;
and recommending a food therapy recipe for the user by using a food therapy recommendation system according to the food sub-library and the basic information of the user.
2. The method of claim 1, wherein the basic information further comprises at least one of: gender, height, weight, region information and season information of the user.
3. The method of claim 1 or 2, wherein matching a sub-library of foods for the user from a health knowledgegraph based on the disease name and dimensions of the symptom information and the base information comprises:
searching a food library meeting the dimensionality of the basic information from the health knowledge graph;
matching a food sub-library corresponding to the disease name and the symptom information from the food library.
4. The method of claim 1, further comprising:
determining whether the user is satisfied with the recommended dietary therapy recipe;
and when the user is determined to be dissatisfied, recalling the food therapy recommendation system to recommend a food therapy recipe for the user again.
5. A dietary recipe recommendation device comprising:
an acquisition unit configured to acquire basic information of a user, the basic information including a disease name of the user and symptom information of the user;
the matching unit is used for matching a food sub-library for the user from a health knowledge graph according to the disease name, the symptom information and the dimensionality of the basic information, wherein the food sub-library comprises candidate food materials allowed to be eaten by the user, and the health knowledge graph stores the corresponding relation between the basic information of the user and the food materials;
and the recommending unit is used for recommending a food therapy recipe for the user by using a food therapy recommending system according to the food sub-library and the basic information of the user.
6. The apparatus of claim 5, wherein the basic information further comprises at least one of: gender, height, weight, region information and season information of the user.
7. The apparatus of claim 5 or 6,
the recommending unit is used for searching a food library meeting the dimensionality of the basic information from the health knowledge graph; matching a food sub-library corresponding to the disease name and the symptom information from the food library.
8. The apparatus of claim 5, further comprising:
a determination unit for determining whether the user is satisfied with respect to the recommended dietary recipe;
and the recommending unit is further used for recalling the food therapy recommending system to recommend the food therapy recipe for the user again when the dissatisfaction is determined.
9. A non-transitory computer storage medium storing computer-executable instructions for performing the method of any of claims 1 to 4.
10. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 4.
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| CN112652378B (en) * | 2020-12-30 | 2023-08-08 | 天津航旭科技发展有限公司 | Diet recommendation method and device |
| CN112652378A (en) * | 2020-12-30 | 2021-04-13 | 天津航旭科技发展有限公司 | Diet recommendation method and device |
| CN112951373A (en) * | 2021-02-03 | 2021-06-11 | 海信集团控股股份有限公司 | Food material recommendation method and device, intelligent refrigerator and intelligent terminal |
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