CN110716967A - Intelligent menu recommendation method, household appliance and computer readable storage medium - Google Patents
Intelligent menu recommendation method, household appliance and computer readable storage medium Download PDFInfo
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- CN110716967A CN110716967A CN201810670506.1A CN201810670506A CN110716967A CN 110716967 A CN110716967 A CN 110716967A CN 201810670506 A CN201810670506 A CN 201810670506A CN 110716967 A CN110716967 A CN 110716967A
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Abstract
An intelligent menu recommendation method, a household appliance and a computer readable storage medium are provided. Wherein the method is applied to a household appliance, wherein the household appliance is used for storing food materials, the method comprising: acquiring a first menu list based on a food material inventory list in the household appliance; the first menu list is sequenced according to a first preset value to form a second menu list, and the second menu list is displayed to a user through a display screen; the first preset value is the number of the types of food materials required by each menu in the first menu list. According to the scheme, the menu recommendation can be performed on the user according to the number of the food materials stored in the household appliance, the intelligent recommendation effect is achieved, and the experience of the user is improved. Meanwhile, the existing food materials can be fully utilized, and the utilization efficiency of the existing food materials is improved.
Description
Technical Field
The invention relates to the technical field of household appliances, in particular to an intelligent menu recommendation method, a household appliance and a computer readable storage medium.
Background
There are many solutions relating to food or menu recommendations on household appliances, especially refrigerators. Existing solutions include dietary recommendations by user health, dietary preferences, etc. However, there is a corresponding food material lacking in the recommended menu in the refrigerator at that time, so that the user cannot experience the convenience brought by the recommended diet. Therefore, the existing scheme does not realize the intelligent diet recommendation according to local conditions.
Disclosure of Invention
It is an object of embodiments of the invention to provide an improved method of recommendation of intelligent recipes.
One purpose of the embodiments of the present invention is to implement prioritization of menus according to existing food materials in a home appliance, so as to intelligently recommend menus.
An intelligent menu recommendation method is applied to a household appliance, wherein the household appliance is used for storing food materials, and the method comprises the following steps: acquiring a first menu list based on a food material inventory list in the household appliance; the first menu list is sequenced according to a first preset value to form a second menu list, and the second menu list is displayed to a user through a display screen; the first preset value is the number of the types of food materials required by each menu in the first menu list.
In one possible embodiment, the obtaining the first menu list based on the stock amount of the food materials in the household appliance includes: searching a menu corresponding to each food material in a menu database according to the inventory quantity of the food materials, and identifying each searched menu; the identified menus form a first menu list.
In a possible embodiment, the method further includes sorting the first menu list according to the number of times of identification of the menus to form a second menu list.
In one possible embodiment, the home appliance accesses the menu database to obtain the menu through wireless communication.
In one possible embodiment, the second menu list is sorted according to a second preset value to form a third menu list, wherein the second preset value is the eating habit information of the user or the freshness information of the stored food materials.
In a possible embodiment, the menus identified in the second menu list with the same number of times are sorted according to a second preset value.
In a possible embodiment, the method further comprises performing deduplication calculation on the menus in the second or third menu list.
In one possible embodiment, the household appliance comprises a refrigerator.
An intelligent menu recommendation device comprising: the acquisition module is used for acquiring a first menu list based on a food material inventory list in the household appliance; the first processing module is used for sequencing the first menu list according to a first preset value to form a second menu list and presenting the second menu list to a user through a display screen; the first preset value is the number of the types of food materials required by each menu in the first menu list.
In one possible embodiment, the obtaining module includes: the identification unit is used for searching a menu corresponding to each food material in the menu database according to the inventory quantity of the food materials and identifying each searched menu; the identified menus form a first menu list.
In a possible embodiment, the first processing module is further configured to sort the first menu list according to the identification times of the identification unit, and form a second menu list.
In a possible embodiment, the apparatus further includes a second processing module, configured to sort the second menu list according to a second preset value to form a third menu list, where the second preset value is user eating habit information or freshness information of the stored food materials.
In a possible embodiment, the apparatus further includes a deduplication module, configured to perform deduplication calculation on menus in the second or third menu list.
A household appliance comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, performs the steps of the aforementioned intelligent menu recommendation method.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the aforementioned intelligent menu recommendation method.
Compared with the prior art, the technical scheme of the invention has the following advantages:
by adopting the scheme, the menu recommendation can be performed on the user according to the number of the food materials stored in the household appliance, the intelligent recommendation effect is achieved, and the experience of the user is improved. Meanwhile, the existing food materials can be fully utilized, and the utilization efficiency of the existing food materials is improved.
Drawings
FIG. 1 is a flowchart of an intelligent menu recommendation method according to an embodiment of the present invention;
fig. 2 is a block diagram of an electrical home appliance according to an embodiment of the present invention;
fig. 3 is a block diagram of an intelligent menu recommendation apparatus according to an embodiment of the present invention.
Detailed Description
As shown in fig. 1, an intelligent menu recommendation method is disclosed, which can be applied to a home appliance, wherein the home appliance is used for storing food materials, such as a refrigerator, a freezer, and the like. The method comprises the following steps:
s100, acquiring a first menu list based on a food material inventory list in the household appliance;
s102, sequencing the first menu list according to a first preset value to form a second menu list, and displaying the second menu list to a user through a display screen; the first preset value is the number of the types of food materials required by each menu in the first menu list.
According to the method, the menu recommendation can be performed on the user according to the number of the food materials stored in the household appliance, the intelligent recommendation effect is achieved, and the experience of the user is improved. Meanwhile, the existing food materials can be fully utilized, and the utilization efficiency of the existing food materials is improved.
In one embodiment, step S100 may retrieve a menu corresponding to each food material from a menu database according to the inventory list of food materials, and identify each retrieved menu, that is, retrieve and identify a menu corresponding to each food material based on existing food materials stored in the household appliance. The identified menus form a first menu list. The food material inventory list records food material information stored by the household appliance; the menu database includes food material information, cooking steps, and the like.
In one embodiment, the number of times the retrieved menu is identified may be accumulated in a counting manner.
In one embodiment, the first menu list is sorted according to the identification times of the menus to form a second menu list.
In one embodiment, the menu database is searched by using one food material respectively, and the menu searched by each food material is marked. For example, if there are n kinds of food materials, the food material a is searched for the menu 1 and marked 1 time, and the food material B is searched for the menu 1 and marked 1 time again. After the system finishes the search of n (food material types), the menu marking numbers are sorted in a reverse order, and the menu with the largest marking times is the menu using the most food material types.
For example, existing food materials in a refrigerator comprise tomatoes, eggs, potatoes and carrots, a system can find menus needing to use the food materials in a menu database according to the food materials, the menus are sorted in a reverse order according to matching degrees, and the menus capable of using more food materials in stock can have higher priority. And indicating the used food materials in the menu, such as 4 food materials of tomato, egg, potato and carrot for the minced noodles; 4 food materials such as tomatoes, eggs, potatoes and carrots are eaten in the gunny way; borsch comprises tomato, potato, and carrot 3 kinds of food materials; the tomato fried eggs are prepared by 2 food materials of tomato and eggs.
In one embodiment, the home appliance may access the menu database to obtain the menu through wireless communication. The wireless communication method may be a network connection method or a short-range communication method.
In one embodiment, the second menu list may be sorted again according to a second preset value to form a third menu list, wherein the second preset value is the user eating habit information or the freshness information of the stored food materials.
In one embodiment, the menus identified in the second menu list with the same number of times may be sorted according to a second preset value.
Sorting the second menu list which is already grabbed again, acquiring the diet preference of the user by analyzing the big data information, and leading the menu preferred by the user; or the freshness of the food materials required by the menu can be analyzed, and the food materials with the shelf life before the menu corresponding to the food materials with the shelf life are close to the food materials with the shelf life. Therefore, the recommended menu can meet the requirements of customers more, and consumption of food materials is reasonably arranged.
For example, the user may be pre-defined with user-defined tabs, or have defined preference tabs for the user in the user menu access history. For example, if a "baking" label exists in a menu accessed by the user, the label "baking" is marked, and more labels are closer to the real preference of the user. And under the condition that the second menu list is captured from the inventory menu, sequencing according to the preference of the user, and leading the menu close to the preference of the user.
In one embodiment, the method further comprises performing a deduplication calculation for menus in the second or third menu list. The recommended menu according to the method may have a situation of duplication, for example, a tomato and an egg exist in the stock of the refrigerator of the user, and the recommended menu may be the same dish "tomato fried egg" from different data sources or different menu authors. In order to ensure the diversification of the recommendation, the system can perform deduplication processing on the menu finally presented to the user, remove the menu with the same title, and reserve the menu with higher official certification/access number. The method has the advantages that the information with the highest priority can be put forward according to the inventory and the preference of the user, so that the manual searching of the user is avoided, and the time and the energy of the user are saved. Meanwhile, the stored food materials of the customers are utilized to the maximum extent, unnecessary waste is avoided, and the customers can eat diversified foods and obtain more nutrition.
As shown in fig. 2, an embodiment of the present invention further discloses a household appliance 10, including: a memory 101, a processor 102 and a computer program stored on the memory 101 and executable on the processor 102, the computer program implementing the steps S100, S102 of the aforementioned intelligent menu recommendation method when executed by the processor 102.
As shown in fig. 3, an embodiment of the present invention discloses an intelligent menu recommendation device 20, which includes: an obtaining module 201, configured to obtain a first menu list based on a food material inventory list in the household appliance 10; the first processing module 202 is configured to sort the first menu list according to a first preset value to form a second menu list, and present the second menu list to a user through a display screen; the first preset value is the number of the types of food materials required by each menu in the first menu list.
It is understood that the obtaining module 201 and the first processing module 202 in this embodiment are execution subjects of each step in the foregoing method embodiments, and are respectively used for executing corresponding method steps.
In one embodiment, the household appliance 10 comprises a smart menu recommendation device 20.
In one embodiment, the obtaining module 201 includes: an identifying unit 2011, configured to retrieve a menu corresponding to each food material from the menu database according to the inventory amount of the food materials, and identify each retrieved menu; the identified menus form a first menu list. That is, based on the existing food materials stored in the household appliance, the menu corresponding to each food material is retrieved and identified.
In an embodiment, the first processing module 202 is further configured to sort the first menu list according to the number of identifications of the identification unit 2011, and form a second menu list.
In one embodiment, the first processing module 202 searches for a food material in the menu database, and marks the menu searched by each food material. For example, if there are n kinds of food materials, the food material a is searched for the menu 1 and marked 1 time, and the food material B is searched for the menu 1 and marked 1 time again. After the system finishes the search of n (food material types), the menu marking numbers are sorted in a reverse order, and the menu with the largest marking times is the menu using the most food material types.
In an embodiment, the intelligent menu recommending apparatus 20 further includes a second processing module 203, configured to sort the second menu list according to a second preset value to form a third menu list, where the second preset value is the eating habit information of the user or the freshness information of the stored food materials.
In one embodiment, the menus identified in the second menu list with the same number of times may be sorted according to a second preset value.
In one embodiment, the intelligent menu recommending apparatus 20 further includes a deduplication module 204 for performing deduplication calculation on the menus in the second or third menu list.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
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, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiment of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent menu recommendation method is applied to a household appliance, wherein the household appliance is used for storing food materials, and the method comprises the following steps: acquiring a first menu list based on a food material inventory list in the household appliance; the first menu list is sequenced according to a first preset value to form a second menu list, and the second menu list is displayed to a user through a display screen; the first preset value is the number of the types of food materials required by each menu in the first menu list.
2. The method of claim 1, wherein the obtaining the first menu list based on an inventory amount of food materials in the home appliance comprises: searching a menu corresponding to each food material in a menu database according to the inventory quantity of the food materials, and identifying each searched menu; the identified menus form a first menu list.
3. The method of claim 2, further comprising sorting the first menu list according to a number of identifications of menus to form a second menu list.
4. The method of claim 2, wherein the home appliance accesses the menu database to obtain the menu by wireless communication.
5. The method of claim 1 or 3, wherein the second menu list is sorted according to a second preset value to form a third menu list, wherein the second preset value is the user's eating habit information or the freshness information of the stored food materials.
6. The method of claim 5, wherein the recipes with the same number of identifications in the second menu list are sorted according to a second preset value to form a third menu list, wherein the second preset value is the eating habit information of the user or the freshness information of the stored food materials.
7. The method of claim 5, further comprising performing a deduplication calculation for a menu in the second or third menu list.
8. The method of claim 1, wherein the household appliance comprises a refrigerator.
9. A household appliance comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the intelligent menu recommendation method according to any one of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the intelligent menu recommendation method according to any one of claims 1-8.
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| CN201810670506.1A CN110716967A (en) | 2018-06-26 | 2018-06-26 | Intelligent menu recommendation method, household appliance and computer readable storage medium |
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| CN201810670506.1A CN110716967A (en) | 2018-06-26 | 2018-06-26 | Intelligent menu recommendation method, household appliance and computer readable storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111552874A (en) * | 2020-04-24 | 2020-08-18 | 海信集团有限公司 | Refrigerator and recipe recommendation method |
| CN113159658A (en) * | 2020-01-22 | 2021-07-23 | 青岛海尔电冰箱有限公司 | Food material statistical method, recipe statistical method, refrigerator and computer-readable storage medium |
| WO2021147240A1 (en) * | 2020-01-22 | 2021-07-29 | 青岛海尔电冰箱有限公司 | Recipe recommendation method, refrigerator, and computer-readable storage medium |
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| CN106885441A (en) * | 2015-12-16 | 2017-06-23 | 北京奇虎科技有限公司 | Food materials intelligent management, apparatus and system |
| CN107863138A (en) * | 2017-10-31 | 2018-03-30 | 珠海格力电器股份有限公司 | Menu generating means and method |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106885441A (en) * | 2015-12-16 | 2017-06-23 | 北京奇虎科技有限公司 | Food materials intelligent management, apparatus and system |
| CN107863138A (en) * | 2017-10-31 | 2018-03-30 | 珠海格力电器股份有限公司 | Menu generating means and method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159658A (en) * | 2020-01-22 | 2021-07-23 | 青岛海尔电冰箱有限公司 | Food material statistical method, recipe statistical method, refrigerator and computer-readable storage medium |
| WO2021147240A1 (en) * | 2020-01-22 | 2021-07-29 | 青岛海尔电冰箱有限公司 | Recipe recommendation method, refrigerator, and computer-readable storage medium |
| CN111552874A (en) * | 2020-04-24 | 2020-08-18 | 海信集团有限公司 | Refrigerator and recipe recommendation method |
| CN111552874B (en) * | 2020-04-24 | 2023-10-27 | 海信集团有限公司 | Refrigerator and recipe recommendation method |
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