CN106021564B - Menu recommendation method and device - Google Patents
Menu recommendation method and device Download PDFInfo
- Publication number
- CN106021564B CN106021564B CN201610375486.6A CN201610375486A CN106021564B CN 106021564 B CN106021564 B CN 106021564B CN 201610375486 A CN201610375486 A CN 201610375486A CN 106021564 B CN106021564 B CN 106021564B
- Authority
- CN
- China
- Prior art keywords
- menu
- list
- recipe
- information
- recommended
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to a menu recommendation method and a device, wherein the method comprises the following steps: acquiring the eating habit information of a user; sequencing the menus in the menu database according to the eating habit information to form a recommended menu list; the recommended menu list is transmitted to the user's terminal and/or displayed on a display panel of the refrigerator. According to the invention, the recommended menu list formed according to the acquired eating habit information of the user is sent to the terminal of the user and/or is directly displayed on the display panel of the refrigerator, so that the menu can be customized for each user.
Description
Technical Field
The invention relates to the field of intelligent household appliances, in particular to a menu recommendation method and device.
Background
Refrigerators, as a kind of home appliances, have been widely used in daily life of people. With the provision of economic level and material level, people pay more and more attention to the physical health of themselves and family, and have higher requirements on what people eat and how people eat. The existing recipe recommendation scheme generally calls health data, weather data and food data, analyzes the data and analyzes a recipe and proper food suitable for each user in a family. However, these food recommendations make it difficult to customize the recipe for each user.
Disclosure of Invention
The invention aims to solve the technical problem of providing a menu recommendation method and device aiming at the defects of the prior art.
The technical scheme for solving the technical problems is as follows: a menu recommendation method comprising the steps of: step 1, acquiring eating habit information of a user; step 2, sorting the menus in the menu database according to the eating habit information to form a recommended menu list; and 3, transmitting the recommended menu list to a terminal of a user and/or displaying the recommended menu list on a display panel of the refrigerator.
The invention has the beneficial effects that: through sending a recommended menu list formed according to the acquired eating habit information of the user to the terminal of the user and/or directly displaying the recommended menu list on a display panel of the refrigerator, the menu can be customized for each user.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, step 2 specifically comprises: and arranging the recipes with the meat and vegetable proportion meeting the first preset condition into the recommended recipe list.
The beneficial effect of adopting the further scheme is that: through recommending the recipe list of meat and vegetable matching according with the diet matching, the recommendation of whole meat or whole vegetables can be prevented, and the condition of unbalanced nutrition is effectively avoided.
Further, step 2 specifically includes: step 2.1, arranging a diet habit menu list in front of the recommended menu list, wherein the diet habit menu list comprises a menu according with the diet habits corresponding to the diet habit information; and 2.2, arranging a non-eating habit menu list behind the recommended menu list, wherein the non-eating habit menu list comprises a menu which does not accord with the eating habit corresponding to the eating habit information.
The beneficial effect of adopting the further scheme is that: the non-eating habit menu is added in the recommended menu list, so that the eating habit menu can be supplemented and perfected, and the requirement of a user for changing the taste can be met.
Further, step 2.1 specifically comprises: and arranging the recipe of the specific food materials and the food materials which do not belong to the specific food materials in the large food materials and meet a second preset condition into the diet habit recipe list.
Further, after step 2, the method further comprises: step 4, counting food material information of a first menu, wherein the first menu is a menu selected from the recommended menu list within a first preset time period; and 5, recommending the first menu as a dietary habit menu when the use times of food materials corresponding to the food material information of the first menu exceed a threshold cumulatively in the first preset time period.
the beneficial effect of adopting the further scheme is that: by counting the menu selected by the user from the recommended menu list within the first preset time period and the using times of food materials corresponding to the menu, the eating habits of the user can be supplemented and perfected, so that the menu can be recommended to the user better next time.
Further, after step 3, the method further comprises: step 6, receiving menu information sent by a terminal of a user or an instruction of selecting the menu information by the user; step 7, determining whether a second menu is an unselected menu according to the menu information or the instruction, wherein the second menu is a menu in the non-eating habit menu list; and 8, removing the second menu from the non-eating habit menu list when the second menu is determined to be the unselected menu.
Further, after step 8, the method further comprises: and 9, after a second preset time period, inserting the second menu into the non-eating habit menu list.
Another technical solution of the present invention for solving the above technical problems is as follows: a menu recommendation device comprising: the acquisition module is used for acquiring the eating habit information of the user; the processing module is used for sequencing the menu in the menu database according to the eating habit information acquired by the acquisition module to form a recommended menu list; and the sending module is used for sending the recommended menu list formed by the processing module to a terminal of a user and/or displaying the recommended menu list on a display panel of a refrigerator.
The invention has the beneficial effects that: through sending a recommended menu list formed according to the acquired eating habit information of the user to the terminal of the user and/or directly displaying the recommended menu list on a display panel of the refrigerator, the menu can be customized for each user.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the processing module is specifically configured to: and arranging the recipes with the meat and vegetable proportion meeting the first preset condition into the recommended recipe list.
further, the processing module specifically includes: the system comprises a first processing unit and a second processing unit, wherein the first processing unit is used for arranging a dietary habit menu list in front of the recommended menu list, and the dietary habit menu list comprises a menu which accords with the dietary habits corresponding to the dietary habit information; the second processing unit is used for arranging a non-eating habit menu list behind the recommended menu list, wherein the non-eating habit menu list comprises a menu which does not accord with the eating habit corresponding to the eating habit information.
Further, the first processing unit is specifically configured to arrange a recipe, in which a ratio of a specific food material to a food material not belonging to the specific food material in the broad category of food materials satisfies a second preset condition, into the dietary habit recipe list.
further, the processing module is further configured to: counting food material information of a first menu, and recommending the first menu as a dietary habit menu when the number of times of using food materials corresponding to the food material information of the first menu exceeds a threshold value in a first preset time period, wherein the first menu is a menu selected from the recommended menu list in the first preset time period.
Further, the apparatus further comprises: the receiving module is used for receiving menu information sent by a terminal of a user or an instruction of selecting the menu information by the user; the processing module is further configured to: and determining whether a second menu is an unselected menu according to the menu information or the instruction received by the receiving module, and removing the second menu from the non-eating habit menu list when the second menu is determined to be the unselected menu, wherein the second menu is a menu in the non-eating habit menu list.
Further, the processing module is further configured to: and after a second preset time period, inserting the second menu into the non-eating habit menu list.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
fig. 1 is a schematic flow chart of a menu recommendation method according to an embodiment of the present invention;
Fig. 2 is a schematic flow chart of a menu recommendation method according to another embodiment of the present invention;
fig. 3 is a schematic flow chart of a menu recommendation method according to another embodiment of the present invention;
Fig. 4 is a schematic structural block diagram of a menu recommendation device according to an embodiment of the present invention;
Fig. 5 is a schematic structural block diagram of a menu recommendation device according to another embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
Fig. 1 shows a schematic flowchart of a menu recommendation method 100 according to an embodiment of the present invention. The execution subject of the method 100 shown in fig. 1 may be a refrigerator, the method 100 comprising:
110. And acquiring the eating habit information of the user.
120. And sequencing the menus in the menu database according to the eating habit information acquired in the step 110 to form a recommended menu list.
130. The list of recommended menus formed in 120 is transmitted to the user's terminal and/or displayed on a display panel of the refrigerator.
Specifically, in this embodiment, in step 110, the user may feed back the eating habit information to the refrigerator through the terminal, or the user may input an instruction on a display panel of the refrigerator, so that the refrigerator acquires the eating habit information of the user. For example: the eating habit information may include: staple preference information, meat preference information, and vegetarian preference information. Wherein the content of the first and second substances,
The preference information of the staple food can be selected from rice, wheaten food, bread and the like, and the refrigerator preliminarily classifies the menu recommended by the user according to different selection results, such as: the user who selects rice is more suitable for the south dish type, the user who selects wheaten food is more suitable for the north dish type, and the user who selects bread prefers the western dish type.
the meat preference information can be selected from livestock meat such as pork, beef and mutton, poultry meat such as chicken and duck, seafood meat such as fish and shrimp, and the refrigerator recommends meat and vegetable recipes for the user according to different selection results.
The vegetable preference information can be selected from leaf vegetables, root vegetables, melon and fruit vegetables and mushroom vegetables, and the refrigerator recommends a vegetable menu for the user according to different selection results.
in step 120, after the refrigerator obtains the eating habit information of the user, the recipes in the recipe database may be sorted according to the eating habit information to form a recommended recipe list, that is: and the menus in the recommended menu list all contain food materials corresponding to the eating habit information. In step 130, the refrigerator may transmit the recommended menu formed in step 120 to the user's terminal and/or directly display it on a display panel of the refrigerator.
According to the recipe recommendation method provided by the embodiment, the recommended recipe list formed according to the acquired eating habit information of the user is sent to the terminal of the user and/or is directly displayed on the display panel of the refrigerator, so that the recipe can be customized for each user.
Optionally, as an embodiment of the present invention, in step 120, a recipe with a meat-vegetable ratio satisfying a first preset condition may be listed in the recommended recipe list.
For example: in this example, the first predetermined condition is a meat to vegetable ratio of 1: 3. That is, the ratio of meat-based recipes to vegetable-based recipes in the recommended recipe list is 1: 3. If 12 dishes exist in the recommended menu list, the recommended menu list is formed by 3 meat dishes and 9 vegetable dishes.
According to the recipe recommendation method, the recipe list of meat and vegetable matching conforming to diet matching is recommended, so that recommendation of whole meat or whole vegetables can be prevented, and the condition of nutrition imbalance is effectively avoided.
Optionally, as another embodiment of the present invention, the method 200 shown in fig. 2 includes:
210. And acquiring the eating habit information of the user.
221. And arranging a menu, namely a menu list of eating habits, which accords with the eating habits corresponding to the eating habit information acquired in the step 210, in front of the recommended menu list.
222. And arranging a menu which does not accord with the eating habits corresponding to the eating habit information acquired in the step 210, namely a non-eating habit menu list behind the recommended menu list.
230. The recommended menu list is transmitted to the user's terminal and/or displayed on a display panel of the refrigerator.
specifically, in this embodiment, after acquiring the eating habit information of the user, the refrigerator selects a menu from the menu library according to the eating habit information of the user to form a recommended menu list. Arranging the menu according with the eating habit in front of the recommended menu list, wherein the proportion of the menu according with the eating habit in the recommended menu list is higher than 50%, and arranging the menu not according with the eating habit in the back of the recommended menu, for example, 15 dishes are in the recommended menu list, so that the front 10 of the recommended list can arrange the menu according with the eating habit, namely: the menu list of eating habits can be used for arranging the menu which does not accord with the eating habits from the 11 th, namely: a list of non-dietary habit recipes.
Or, the menu which does not accord with the eating habits can be randomly inserted in the recommended menu list, but the menu does not continuously appear, and at least more than 5 menus which accord with the eating habits are separated.
it should be understood that in this embodiment, when a certain period of time elapses, the proportion of the recipe in the recommended recipe list that conforms to the eating habits gradually increases, and when the proportion increases to a threshold value (for example, 80%), it can be determined that the eating habits of the user have been completely collected, and the remaining recipe is used for changing the taste.
it should be noted that, in this embodiment, the steps 210, 221-222 and 230 correspond to the steps 110, 120 and 130 in fig. 1, respectively. Step 210 and step 230 are similar to step 110 and step 130, and are not repeated herein for brevity of description.
According to the recipe recommendation method, the non-eating habit recipes are added to the recommended recipe list, so that the eating habit recipes can be supplemented and perfected, and the requirement of a user for changing the taste can be met.
Optionally, as an embodiment of the present invention, in step 221, a recipe in which the ratio of the specific food material to the food material not belonging to the specific food material in the broad category meets the second preset condition may be arranged in the eating habit recipe list.
For example, in this embodiment, the second preset condition is that the ratio of the specific food material to the food material not belonging to the specific food material in the broad category is 1: 1. If the main food material is meat food material of livestock, the food material is meat food material such as pork, beef, mutton, etc. When the ratio of the recipe containing the pork food material to the recipe containing the non-pork food material in the livestock food material in the recommended recipe list satisfies 1:1, the recipe containing the non-pork food material in the livestock food material is arranged into the eating habit recipe list. That is, the acquired meat preference information of the user is pork, and then beef and mutton, which also belong to meat-based food materials for livestock, are provided to the user as a recommended menu so that the user can have various choices.
Optionally, as another embodiment of the present invention, as shown in fig. 2, after step 230, the method 200 may further include:
240. Receiving menu information sent by a terminal of a user or an instruction of selecting the menu information by the user.
250. It is determined whether the second recipe is an unselected recipe based on the recipe information or instructions received in 240. Wherein the second menu is a menu in the list of non-eating habit menus.
260. When the second recipe is determined to be the unselected recipe, the second recipe is removed from the list of non-eating habit recipes.
270. and after a second preset time period, inserting the second menu into the non-eating habit menu list.
specifically, in this embodiment, the refrigerator acquires the eating habit information of the user, arranges the menu meeting the eating habit in front of the recommended menu list, arranges the menu meeting the eating habit behind the recommended menu list, and transmits the recommended menu list to the terminal of the user and/or displays the recommended menu list on the display panel of the refrigerator. The recommended menu list comprises a second menu which does not accord with the eating habit. When receiving menu information sent by a terminal of a user or an instruction of selecting menu information by the user and the menu information or the instruction does not contain a second menu, that is, the user does not select the second menu, removing the second menu from the list of the non-eating habit menus and within a second preset time period, for example: the second recipe is no longer recommended within 30 days. And on day 31, the second recipe may be re-listed in the list of non-eating habit recipes.
According to the menu recommendation method provided by the embodiment, the menu which is disliked by the user is temporarily excluded from the recommendation list, and the user does not want to eat the menu at present, but the situation that the user probably likes to eat after a period of time cannot be excluded, so that the menu can be inserted into the recommendation menu list again after a second preset time period, and the user can conveniently select the menu.
Optionally, as another embodiment of the present invention, the method 300 shown in fig. 3 includes:
310. And acquiring the eating habit information of the user.
320. And sequencing the menus in the menu database according to the eating habit information acquired in the step 310 to form a recommended menu list.
380. And counting food material information of a first menu, wherein the first menu is a menu selected from the recommended menu list within a first preset time period.
390. And when the use times of the food materials corresponding to the food material information of the first menu exceed a threshold value in a first preset time period in an accumulated mode, recommending the first menu as a dietary habit menu.
330. The recommended menu list is transmitted to the user's terminal and/or displayed on a display panel of the refrigerator.
Specifically, in this embodiment, when the user selects a certain menu from the recommended menu list, the food material information (including the general food material information and the specific food material information) of the menu is recorded to the eating habits. The refrigerator may count for a first period of time, for example: and within 30 days, the using times of the food materials corresponding to the food material information of the first menu selected by the user in the recommended menu list. When the number of uses exceeds a threshold, for example: and recommending the first menu as a dietary habit menu when the number of the dishes is 5.
For example, the eating conditions of various general food materials and specific food materials recorded in the eating habits are counted in the unit of a month, and 1 is added to the corresponding count every time the food materials are eaten. The next menu recommendation can be carried out according to the previous 30-day eating habits, and if the vacancy is generated, the previous 30-day eating habits are filled. If the number of days is less than 30 days, the dietary habit is set in the initial period. Only if the counting is more than 5 times, the menu recommendation is carried out as the conventional eating habit, otherwise, only as the accidental eating habit, the related menu recommendation is not carried out.
It should be noted that, in this embodiment, step 310, step 320, and step 330 correspond to step 110, step 120, and step 130 in fig. 1, respectively, and are not described herein again for brevity of description.
According to the recipe recommendation method provided by the embodiment, the recipe selected by the user from the recommended recipe list in the first preset time period and the use times of the food materials corresponding to the recipe are counted, so that the eating habits of the user can be supplemented and perfected, and the recipe recommendation can be better performed on the user next time.
the recipe recommendation method according to the embodiment of the present invention is described in detail above with reference to fig. 1 to 3, and the recipe recommendation apparatus according to the embodiment of the present invention is described in detail below with reference to fig. 4 and 5.
Fig. 4 is a schematic block diagram of a menu recommending apparatus 400 according to an embodiment of the present invention. The apparatus 400 as shown in fig. 4 may be provided on a refrigerator, the apparatus 400 including: an acquisition module 410, a processing module 420, and a sending module 430. Wherein the content of the first and second substances,
The obtaining module 410 is used for obtaining the eating habit information of the user. The processing module 420 is configured to sort the recipes in the recipe database according to the eating habit information acquired by the acquiring module 410 to form a recommended recipe list. The transmitting module 430 is used for transmitting the recommended menu list formed by the processing module 420 to the terminal of the user and/or displaying on the display panel of the refrigerator.
specifically, in this embodiment, the obtaining module 410 may be an information collecting device disposed inside the refrigerator, and obtains the eating habit information selected by the user by collecting the instruction input by the user on the display panel of the refrigerator, or receives the eating habit information sent by the terminal of the user.
It should be understood that, in the embodiment of the present invention, the recipe recommendation apparatus 400 according to the embodiment of the present invention may correspond to an execution main body of the recipe recommendation method according to the embodiment of the present invention, and the above and other operations and/or functions of each module in the apparatus 400 are respectively for implementing corresponding processes of each method in fig. 1 to 3, and are not described herein again for brevity.
The menu recommending device provided by the above embodiment can implement the private customization of the menu for each user by sending the recommended menu list formed according to the acquired eating habit information of the user to the terminal of the user and/or directly displaying the recommended menu list on the display panel of the refrigerator.
Optionally, as an embodiment of the present invention, the processing module 430 may be specifically configured to arrange the recipes with the meat-vegetable ratio meeting the first preset condition into the recommended recipe list.
Optionally, as another embodiment of the present invention, the processing module 420 is further configured to: and counting the food material information of the first menu, and recommending the first menu as the dietary habit menu when the use times of the food material corresponding to the food material information of the first menu are accumulated to exceed a threshold value in a first preset time period. The first menu is a menu selected from the recommended menu list within a first preset time period.
Specifically, in this embodiment, when the user selects a certain menu from the recommended menu list, the food material information (including the general food material information and the specific food material information) of the menu is recorded to the eating habits. The processing module 420 may count for a first period of time, for example: and within 30 days, the using times of the food materials corresponding to the food material information of the first menu selected by the user in the recommended menu list. When the number of uses exceeds a threshold, for example: and recommending the first menu as a dietary habit menu when the number of the dishes is 5.
optionally, as another embodiment of the present invention, as shown in fig. 5, the processing module 520 specifically includes: a first processing unit 521 and a second processing unit 522. Wherein the content of the first and second substances,
The first processing unit 521 is configured to arrange a menu of the eating habits, i.e., a list of the eating habit menus, in front of the recommended menu list, according to the menu of the eating habits corresponding to the eating habit information acquired by the acquiring module 510. The second processing unit 522 is configured to arrange a menu, i.e., a list of non-eating habit menus, behind the recommended menu list according to the menu that does not conform to the eating habit corresponding to the eating habit information acquired by the acquisition module 510.
specifically, in this embodiment, after the obtaining module 510 obtains the eating habit information of the user, the processing module 520 selects a menu from the menu library according to the eating habit information of the user to form a recommended menu list. The first processing unit 521 arranges the recipes conforming to the eating habits in front of the recommended recipe list, the percentage of the recipes conforming to the eating habits in the recommended recipe list is higher than 50%, and the second processing unit 522 arranges the recipes not conforming to the eating habits in back of the recommended recipe list, for example, 15 dishes are in the recommended recipe list, so that the front 10 of the recommended list can arrange the recipes conforming to the eating habits, that is: the menu list of eating habits can be used for arranging the menu which does not accord with the eating habits from the 11 th, namely: a list of non-dietary habit recipes.
Alternatively, the second processing unit 522 may randomly insert a recipe not conforming to the eating habit into the recommended recipe list, but the recipe does not appear continuously, at least at intervals of 5 or more recipes conforming to the eating habit.
Specifically, in this embodiment, the first processing unit 521 may be specifically configured to arrange a recipe, in which the ratio of the specific food material to the food material not belonging to the specific food material in the broad category of food materials meets the second preset condition, into the eating habit recipe list.
Optionally, as another embodiment of the present invention, as shown in fig. 5, the apparatus 500 further includes a receiving module 540.
The receiving module 540 is configured to receive recipe information sent by a terminal of a user or an instruction for selecting the recipe information by the user. The processing module 520 is further configured to determine whether the second recipe is an unselected recipe according to the recipe information or the instruction received by the receiving module 540, and remove the second recipe from the non-eating habit recipe list when the second recipe is determined to be an unselected recipe, where the second recipe is a recipe in the non-eating habit recipe list. And after a second preset time period, inserting the second menu into the non-eating habit menu list.
Specifically, in this embodiment, the processing module arranges the menu meeting the eating habits in front of the recommended menu list, arranges the menu meeting the eating habits behind the recommended menu list, and sends the recommended menu list to the terminal of the user and/or displays the recommended menu list on the display panel of the refrigerator according to the eating habit information of the user acquired by the acquisition module 510. The recommended menu list comprises a second menu which does not accord with the eating habit.
the processing module 520 may determine that the second recipe is not included in the recipe information or the instruction of the recipe information selected by the user, which is received by the receiving module 540, according to the recipe information sent by the terminal of the user or the instruction of the recipe information selected by the user, that is, the user does not select the second recipe, and remove the second recipe from the list of the non-eating habit recipes. It should be noted that, in this embodiment, in the second preset time period, for example: the second recipe is no longer recommended within 30 days. However, this second recipe may be re-listed on day 31 into the list of non-eating habit recipes.
It should be understood that, in the embodiment of the present invention, the recipe recommendation apparatus 500 according to the embodiment of the present invention may correspond to an execution main body of the recipe recommendation method according to the embodiment of the present invention, and the above and other operations and/or functions of each module in the apparatus 500 are respectively for implementing the corresponding flow of the method 200 in fig. 2, and are not described herein again for brevity.
the menu recommending device provided by the above embodiment can implement the private customization of the menu for each user by sending the recommended menu list formed according to the acquired eating habit information of the user to the terminal of the user and/or directly displaying the recommended menu list on the display panel of the refrigerator.
in addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
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 can 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 embodiments 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 (12)
1. A menu recommendation method is characterized by comprising the following steps:
Step 1, acquiring eating habit information of a user, wherein the eating habit information comprises the following steps: staple food preference information, meat preference information and vegetarian preference information;
Step 2, sequencing the menus in the menu database according to the eating habit information to form a recommended menu list, wherein the menus in the recommended menu list all comprise food materials corresponding to the eating habit information;
step 4, counting food material information of a first menu, wherein the first menu is a menu selected from the recommended menu list within a first preset time period;
step 5, when the use times of food materials corresponding to the food material information of the first menu exceed a threshold value in a first preset time period in an accumulated mode, recommending the first menu as a dietary habit menu;
And 3, transmitting the recommended menu list to a terminal of a user and/or displaying the recommended menu list on a display panel of the refrigerator.
2. the recipe recommendation method according to claim 1, wherein the step 2 specifically comprises: and arranging the recipes with the meat and vegetable proportion meeting the first preset condition into the recommended recipe list.
3. The recipe recommendation method according to claim 1, wherein the step 2 specifically comprises:
Step 2.1, arranging a diet habit menu list in front of the recommended menu list, wherein the diet habit menu list comprises a menu according with the diet habits corresponding to the diet habit information;
and 2.2, arranging a non-eating habit menu list behind the recommended menu list, wherein the non-eating habit menu list comprises a menu which does not accord with the eating habit corresponding to the eating habit information.
4. The recipe recommendation method according to claim 3, characterized in that step 2.1 is specifically:
And arranging the recipe of the specific food materials and the food materials which do not belong to the specific food materials in the large food materials and meet a second preset condition into the diet habit recipe list.
5. The recipe recommendation method as claimed in claim 3, further comprising, after the step 3:
step 6, receiving menu information sent by a terminal of a user or an instruction of selecting the menu information by the user;
step 7, determining whether a second menu is an unselected menu according to the menu information or the instruction, wherein the second menu is a menu in the non-eating habit menu list;
and 8, removing the second menu from the non-eating habit menu list when the second menu is determined to be the unselected menu.
6. The recipe recommendation method as claimed in claim 5, further comprising, after step 8:
And 9, after a second preset time period, inserting the second menu into the non-eating habit menu list.
7. A menu recommendation device, comprising:
The acquisition module is used for acquiring the eating habit information of the user, and the eating habit information comprises: staple food preference information, meat preference information and vegetarian preference information;
the processing module is used for sequencing the recipes in the recipe database according to the eating habit information acquired by the acquisition module to form a recommended recipe list, wherein the recipes in the recommended recipe list all contain food materials corresponding to the eating habit information, counting food material information of a first recipe, and recommending the first recipe as the eating habit recipe selected from the recommended recipe list in a first preset time period when the use times of the food material information of the first recipe corresponding to the food materials are accumulated to exceed a threshold value in the first preset time period;
And the sending module is used for sending the recommended menu list formed by the processing module to a terminal of a user and/or displaying the recommended menu list on a display panel of a refrigerator.
8. The recipe recommendation device of claim 7, wherein the processing module is specifically configured to: and arranging the recipes with the meat and vegetable proportion meeting the first preset condition into the recommended recipe list.
9. The recipe recommendation device according to claim 7, wherein the processing module specifically comprises: a first processing unit and a second processing unit, wherein,
The first processing unit is used for arranging a dietary habit menu list in front of the recommended menu list, wherein the dietary habit menu list comprises a menu which accords with the dietary habits corresponding to the dietary habit information;
the second processing unit is used for arranging a non-eating habit menu list behind the recommended menu list, wherein the non-eating habit menu list comprises a menu which does not accord with the eating habit corresponding to the eating habit information.
10. The recipe recommending apparatus according to claim 9, wherein the first processing unit is specifically configured to arrange the recipe, in which the ratio of the specific food material to the food material not belonging to the specific food material in the broad category of food materials satisfies a second preset condition, into the list of the eating habit recipes.
11. The recipe recommendation device as recited in claim 9, further comprising:
The receiving module is used for receiving menu information sent by a terminal of a user or an instruction of selecting the menu information by the user;
The processing module is further configured to: and determining whether a second menu is an unselected menu according to the menu information or the instruction received by the receiving module, and removing the second menu from the non-eating habit menu list when the second menu is determined to be the unselected menu, wherein the second menu is a menu in the non-eating habit menu list.
12. The recipe recommendation device of claim 11, wherein the processing module is further configured to: and after a second preset time period, inserting the second menu into the non-eating habit menu list.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610375486.6A CN106021564B (en) | 2016-05-30 | 2016-05-30 | Menu recommendation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610375486.6A CN106021564B (en) | 2016-05-30 | 2016-05-30 | Menu recommendation method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106021564A CN106021564A (en) | 2016-10-12 |
| CN106021564B true CN106021564B (en) | 2019-12-06 |
Family
ID=57092961
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610375486.6A Active CN106021564B (en) | 2016-05-30 | 2016-05-30 | Menu recommendation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106021564B (en) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108415271A (en) * | 2017-02-09 | 2018-08-17 | 佛山市顺德区美的电热电器制造有限公司 | A kind of cooking control method and device |
| CN106918195A (en) * | 2017-04-01 | 2017-07-04 | 合肥华凌股份有限公司 | A kind of intelligent refrigerator control service end, control method and intelligent refrigerator |
| CN107301318A (en) * | 2017-06-23 | 2017-10-27 | 北京好豆网络科技有限公司 | The generation method and device of dining plan |
| CN108062343A (en) * | 2017-07-27 | 2018-05-22 | 宁波方太厨具有限公司 | A kind of generation method of individualized intelligent menu |
| CN107566908A (en) * | 2017-08-30 | 2018-01-09 | 深圳Tcl新技术有限公司 | Intelligent television obtains method, intelligent television and the storage medium of menu |
| CN110020165A (en) * | 2017-12-19 | 2019-07-16 | 九阳股份有限公司 | A kind of dietary recommendations continued method and domestic robot |
| CN108597572A (en) * | 2018-04-20 | 2018-09-28 | 成都昂联科技有限公司 | a kind of intelligent health planning system |
| CN108769159A (en) * | 2018-05-16 | 2018-11-06 | 北京豆果信息技术有限公司 | A kind of electronic cookbook intelligent recommendation method |
| CN110648743A (en) * | 2018-06-26 | 2020-01-03 | 博西华电器（江苏）有限公司 | Intelligent menu recommendation method, household appliance and computer readable storage medium |
| CN109034650A (en) * | 2018-08-14 | 2018-12-18 | 上海常仁信息科技有限公司 | A kind of identifying system and method for vegetable harmful substance |
| CN109711919A (en) * | 2018-11-02 | 2019-05-03 | 青岛海尔股份有限公司 | A kind of user's shopping recommended method based on menu |
| CN111814031A (en) * | 2019-04-10 | 2020-10-23 | 奇酷互联网络科技（深圳）有限公司 | Method and system for recommending information through wearable device and wearable device |
| CN113469769A (en) * | 2020-03-31 | 2021-10-01 | 珠海优特智厨科技有限公司 | Order processing method and device, storage medium and computer equipment |
| CN113915829B (en) * | 2021-06-04 | 2023-04-18 | 海信冰箱有限公司 | Refrigerator and menu correction method |
| CN114579855A (en) * | 2022-03-03 | 2022-06-03 | 海信视像科技股份有限公司 | Food storage equipment, food library and menu sequencing method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793616A (en) * | 2014-02-25 | 2014-05-14 | 四川长虹电器股份有限公司 | Information processing method and refrigerator |
| CN103884151A (en) * | 2014-02-26 | 2014-06-25 | 四川长虹电器股份有限公司 | Method, refrigerator, user terminal and system for pushing menus according to user requirements |
| CN104699958A (en) * | 2015-02-13 | 2015-06-10 | 小米科技有限责任公司 | Method and device for recommending menu according to physical status of user |
| CN105426477A (en) * | 2015-11-18 | 2016-03-23 | 四川长虹电器股份有限公司 | Catering method based on cloud service platform and intelligent refrigerator |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8549561B2 (en) * | 2009-08-19 | 2013-10-01 | Sony Corporation | TV user interface with recommended content entry in favorites menu |
| CN104957965A (en) * | 2015-06-27 | 2015-10-07 | 广东天际电器股份有限公司 | Intelligent cooking system capable of recognizing geographic position of user and judging preference of user and application of intelligent cooking system |
| CN105138591B (en) * | 2015-07-31 | 2018-12-11 | 小米科技有限责任公司 | Control the method and device of smart machine production food |
-
2016
- 2016-05-30 CN CN201610375486.6A patent/CN106021564B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793616A (en) * | 2014-02-25 | 2014-05-14 | 四川长虹电器股份有限公司 | Information processing method and refrigerator |
| CN103884151A (en) * | 2014-02-26 | 2014-06-25 | 四川长虹电器股份有限公司 | Method, refrigerator, user terminal and system for pushing menus according to user requirements |
| CN104699958A (en) * | 2015-02-13 | 2015-06-10 | 小米科技有限责任公司 | Method and device for recommending menu according to physical status of user |
| CN105426477A (en) * | 2015-11-18 | 2016-03-23 | 四川长虹电器股份有限公司 | Catering method based on cloud service platform and intelligent refrigerator |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106021564A (en) | 2016-10-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106021564B (en) | Menu recommendation method and device | |
| Ueda et al. | User’s food preference extraction for personalized cooking recipe recommendation | |
| CN104809164A (en) | Healthy diet recommendation method based on mobile terminal and mobile terminal | |
| CN110289079A (en) | Wired home recipe supplying system, the method and device for pushing recipe | |
| CN110287306B (en) | Recipe recommendation method and equipment | |
| CN109214955A (en) | The generation method and device of food product set meal | |
| CN110634552A (en) | Recipe pushing method and device based on Internet of things operating system | |
| CN111105820B (en) | Menu broadcasting method, system, storage medium and electronic device | |
| CN110857831A (en) | Method and device for controlling temperature of refrigerator | |
| CN112182355A (en) | Recipe recommendation method and device and intelligent terminal | |
| CN110289077A (en) | A kind of recipe push processing method and device | |
| CN110020781A (en) | The determination method and device of priority, storage medium, electronic device | |
| CN109214956A (en) | Food product method for pushing and device | |
| CN110716967A (en) | Intelligent menu recommendation method, household appliance and computer readable storage medium | |
| CN112349385A (en) | Recipe recommendation method, device, equipment and storage medium based on refrigeration system | |
| CN110968748A (en) | Electronic menu processing method, device and system | |
| CN110610753A (en) | Recipe recommendation method, device and system and computer readable storage medium | |
| CN107803838B (en) | Service robot-based diet management method and service robot | |
| CN112394149A (en) | Food material maturity detection prompting method and device and kitchen electrical equipment | |
| CN110648743A (en) | Intelligent menu recommendation method, household appliance and computer readable storage medium | |
| CN115062194A (en) | Menu recommendation method and device | |
| JP2018084884A (en) | Information processing equipment, food selection method and program | |
| Dibb et al. | Let's talk about meat | |
| CN117349488A (en) | Method and device for recommending food materials, refrigerator and computer readable storage medium | |
| CN108766526A (en) | Food choosing method, device, storage medium and processor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |