CN110648743A - 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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- CN110648743A CN110648743A CN201810670735.3A CN201810670735A CN110648743A CN 110648743 A CN110648743 A CN 110648743A CN 201810670735 A CN201810670735 A CN 201810670735A CN 110648743 A CN110648743 A CN 110648743A
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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
An intelligent menu recommendation method, a household appliance and a computer readable storage medium are provided. The method comprises the steps of presetting label information of menus in a menu database, wherein the menu database comprises a user frequently-used menu, and the label information is used for marking the characteristics of the menu; when a user accesses a menu carrying the label information, marking the label information; and forming a first target menu list according to the times of the label information being marked, and displaying the first target menu list to a user. By adopting the scheme, the menu can be recommended to the user according to the number of times the user accesses the label corresponding to the menu, so that the intelligent recommendation effect is achieved, and the experience of the user is improved. And simultaneously, the dietary preference of the user can be fully considered.
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 embodiment of the invention is to realize the priority ordering of the menu according to the number of times the menu label in the household appliance is identified, thereby intelligently recommending the menu.
An intelligent menu recommendation method can be applied to a household appliance, wherein the household appliance is used for storing food materials, and label information of menus in a menu database is preset, wherein the menu database comprises menus frequently used by users, and the label information is used for marking the characteristics of the menus; when a user accesses a menu carrying the label information, marking the label information; and forming a first target menu list according to the times of the label information being marked, and displaying the first target menu list to a user.
In one possible embodiment, presetting the tag information of the menu in the menu database includes: receiving label information corresponding to the menu, and establishing a corresponding relation between the label information and the menu.
In a possible embodiment, if at least two menus with the same number of marks are included in the first target menu list, the menus with the same number of marks are sorted according to a food material inventory list in the household appliance to form a second target menu list.
In one possible embodiment, the sorting the menus with the same number of marks according to the food material inventory list in the household appliance comprises determining the number of food material types required by each menu in the menus with the same number of marks according to the food material inventory list; and sequencing the corresponding menus according to the food material variety number to form a second target menu list.
In one possible embodiment, the method further comprises performing deduplication calculation on the menus in the first and/or second target menu list.
In a possible embodiment, displaying the first target menu list to the user includes presetting a menu threshold of the first target menu list, and displaying the first target menu list within the preset threshold range to the user through a screen of the mobile device or the home device.
In one possible embodiment, the household appliance comprises a refrigerator.
An intelligent menu recommendation device comprising: the system comprises a presetting module, a menu database and a display module, wherein the presetting module is used for presetting label information of menus in the menu database, the menu database comprises a user frequently-used menu, and the label information is used for marking the characteristics of the menu; the first processing module is used for marking the label information when a user accesses a menu carrying the label information; and the second processing module is used for forming a first target menu list according to the times of marking the label information and displaying the first target menu list to a user.
In a possible embodiment, the preset module is further configured to receive label information corresponding to a menu, and establish a corresponding relationship between the label information and the menu.
In a possible embodiment, the apparatus further includes a third processing module, configured to, if at least two menus with the same number of marks are included in the first target menu list, sort the menus with the same number of marks according to a food material inventory list in the household appliance, and form a second target menu list.
In a possible embodiment, the third processing module is further configured to determine, according to the food material inventory list, the number of food material types required by each menu in the menus with the same number of marks; and sequencing the corresponding menus according to the food material variety number to form a second target menu list.
In a possible embodiment, the apparatus further comprises a deduplication module for performing deduplication calculations for menus in the first and/or second menu list.
In a possible embodiment, the second processing module is further configured to preset a menu threshold of the first target menu list, and display the first target menu list within the preset threshold range to the user through a screen of the mobile device or the home appliance.
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 identified times of the label corresponding to the user access menu, so that the intelligent recommendation effect is achieved, and the experience of the user is improved. And simultaneously, the dietary preference of the user can be fully considered.
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, label information of menus in a menu database is preset, wherein the menu database comprises frequently-used menus of users, and the label information is used for marking the characteristics of the menus; wherein, the menu database comprises food material information, cooking steps and the like.
S102, when a user accesses a menu carrying the label information, marking the label information;
s104, according to the number of times the label information is marked, a first target menu list is formed, and the first target menu list is displayed for a user.
The method can realize menu recommendation for the user according to the identified times of the label corresponding to the user access menu, achieves the effect of intelligent recommendation, and improves the experience of the user. And simultaneously, the dietary preference of the user can be fully considered.
In one embodiment, step S100 may be preset by a user. The corresponding relation between the label information and the menu can be established by receiving the label information corresponding to the menu. Thus, each menu has corresponding label information, such as a tomato fried egg corresponding to a "sweet and sour" label, a wife tofu corresponding to a "spicy" label, and the like. Of course, different menus may have the same label. 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.
In one embodiment, when a menu is accessed, the corresponding label of the menu is identified, and the identification times can be accumulated in a counting mode. The corresponding menu may then be reverse-narrated by the number of times the tag is identified, thereby forming a menu list, referred to as a first target menu list. In one embodiment, menus are searched in a menu database, and a label corresponding to each searched menu is marked. For example, the menu a has an orientation in which the menu a corresponds to the label a and marks the label a once, and the menu B also corresponds to the label a and marks the label a once again. After the user accesses the menu for multiple times, the marking numbers of the menu labels are sorted in a reverse order, and the menu corresponding to the label with the largest marking times shows the preference of the user and is preferentially displayed.
In one embodiment, if at least two menus with the same number of marks are included in the first target menu list, the menus with the same number of marks may be sorted again according to the food material inventory list in the household appliance to form a second target menu list. A menu with a higher number of markers may be preferentially presented.
In one embodiment, the number of food material types required by each menu in the menus with the same number of marks can be determined according to the inventory list of food materials; then, the corresponding menus can be sequenced according to the number of the food material types to form a second target menu list.
For example, in the first target menu list, the number of representations of the menu a labeled "sweet and sour" and the menu B labeled "spicy" are the same, and then the second sorting may be performed by determining the number of types of food materials required for each menu. The household appliance is a refrigerator, the existing food materials in the refrigerator comprise tomatoes, eggs, potatoes and carrots, and the system judges that 3 food materials of the tomatoes, the potatoes and the carrots are used in the menu B according to the existing inventory; menu A uses 2 kinds of food materials including tomato and egg. Thus, menu B has a higher priority than menu A. In one embodiment, the method further comprises performing a deduplication calculation for menus in the first or second 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.
In one embodiment, a menu threshold of the first target menu list may be preset, and the first target menu list within the preset threshold is displayed to the user through a screen of the mobile device or the home device. For example, the system provides that the number of menus presented to the user at a single time is ten entries, then the first ten menus, with decreasing priority, are displayed to the user after the first list of target menus is obtained.
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, S104 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: the system comprises a presetting module 201, a menu database and a menu display module, wherein the presetting module is used for presetting label information of menus in the menu database, the menu database comprises a user frequently-used menu, and the label information is used for marking the characteristics of recipes; the first processing module 202 is configured to mark the tag information when a user accesses a menu carrying the tag information; the second processing module 203 is configured to form a first target menu list according to the number of times the label information is marked, and display the first target menu list to a user.
It is understood that the obtaining module 201, the first processing module 202, and the second processing module 203 in this embodiment are execution subjects of respective steps 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 an embodiment, the preset module 201 is further configured to receive label information corresponding to the menu, and establish a corresponding relationship between the label information and the menu.
In an embodiment, the intelligent menu recommending apparatus 20 further includes a third processing module 204, configured to, if at least two menus with the same number of labels are included in the first target menu list, sort the menus with the same number of labels according to a food material inventory list in the household appliance, and form a second target menu list.
In an embodiment, the third processing module 204 is further configured to determine, according to the inventory list of food materials, the number of food material types required by each menu in the menus with the same number of labels; and sequencing the corresponding menus according to the food material variety number to form a second target menu list.
In one embodiment, the intelligent menu recommending apparatus 20 further comprises a deduplication module 205 for performing deduplication calculation on the menus in the first or second menu list.
In an embodiment, the second processing module 203 is further configured to preset a menu threshold of the first target menu list, and display the first target menu list within the preset threshold range to the user through a screen of the mobile device or the home appliance.
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 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 (9)
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: presetting label information of a menu in a menu database, wherein the menu database comprises a user frequently-used menu, and the label information is used for marking the characteristics of the menu; when a user accesses a menu carrying the label information, marking the label information; and forming a first target menu list according to the times of the label information being marked, and displaying the first target menu list to a user.
2. The method of claim 1, wherein presetting the tag information of the menu in the menu database comprises: receiving label information corresponding to the menu, and establishing a corresponding relation between the label information and the menu.
3. The method of claim 1, further comprising, if at least two menus having the same number of marks are included in the first target menu list, sorting the menus having the same number of marks according to a food material inventory list in the home appliance to form a second target menu list.
4. The method of claim 3, wherein sorting the same number of labeled menus according to a food material inventory in the household appliance comprises determining a number of food material categories required for each menu in the same number of labeled menus according to the food material inventory; and sequencing the corresponding menus according to the food material variety number to form a second target menu list.
5. The method of claim 1 or 4, further comprising performing a deduplication calculation for menus in the first and/or second target menu list.
6. The method of claim 1, wherein displaying the first target menu list to the user comprises presetting a menu threshold of the first target menu list, and displaying the first target menu list within the preset threshold to the user through a screen of the mobile device or the home device.
7. The method of claim 1, wherein the household appliance comprises a refrigerator.
8. 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 1-7.
9. 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 1-7.
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| CN201810670735.3A CN110648743A (en) | 2018-06-26 | 2018-06-26 | Intelligent menu recommendation method, household appliance and computer readable storage medium |
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| CN201810670735.3A CN110648743A (en) | 2018-06-26 | 2018-06-26 | Intelligent menu recommendation method, household appliance and computer readable storage medium |
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| CN113220979A (en) * | 2020-01-21 | 2021-08-06 | 青岛海尔电冰箱有限公司 | Refrigerator food material management method, refrigerator and storage medium |
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