CN113158019A - Menu recommendation method, refrigerator and computer-readable storage medium - Google Patents
Menu recommendation method, refrigerator and computer-readable storage medium Download PDFInfo
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- CN113158019A CN113158019A CN202010074079.8A CN202010074079A CN113158019A CN 113158019 A CN113158019 A CN 113158019A CN 202010074079 A CN202010074079 A CN 202010074079A CN 113158019 A CN113158019 A CN 113158019A
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- 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
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- 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
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
Abstract
The invention provides a menu recommendation method, a refrigerator and a computer readable storage medium, wherein the menu recommendation method comprises the following steps: receiving position information of a refrigerator; judging and confirming the area of the refrigerator; inquiring the characteristic menu of the region; and recommending the characteristic menu of the region. According to the invention, the characteristic menu of the region can be recommended to the user according to the region of the refrigerator. Therefore, the user can have the reference of the characteristic menu of the local area, and the user can conveniently select the favorite menu. So that recommendations about recipes can be more intelligent in an intelligent refrigerator. The characteristic menu in the region is obtained, so that the user can be helped to quickly integrate local life, and life convenience is brought to the user.
Description
Technical Field
The invention relates to the field of intelligent control of refrigerators, in particular to a menu recommendation method capable of recommending menus according to the position of a refrigerator, a refrigerator and a computer-readable storage medium.
Background
With the further improvement of the living standard and the further development of science and technology of people, the requirements of users on household appliances are further improved, the intellectualization of the household appliances is further required, and better intelligent household appliances with more convenient human-computer interaction and more intelligent algorithms are sought. For example, refrigerators are products that are commonly used in modern homes to keep food or other items in a constant low temperature cold state. Nowadays, the requirements of the user on the refrigerator only require that the refrigerator has better functions, is more practical, saves more and is more convenient, and the user also wants to see more intelligent functions and the refrigerator which effectively improves the experience of the user scene.
In the current intelligent refrigerator, menu recommendation can be performed according to food in the refrigerator, but related menu information can be automatically acquired only according to the food information obtained by identification, the mode is simple, and the various diet requirements of users cannot be met.
Therefore, it is necessary to design a new recipe recommendation method, a refrigerator, and a computer-readable storage medium that can make a recipe recommendation depending on the location of the refrigerator.
Disclosure of Invention
In order to solve the above problems, the present invention provides a recipe recommendation method, including: receiving position information of a refrigerator; judging and confirming the area of the refrigerator; inquiring the characteristic menu of the region; and recommending the characteristic menu of the region.
As a further improvement of the present invention, the step of "receiving location information of the refrigerator" includes: the position information of the refrigerator is located through a GPS.
As a further improvement of the present invention, the step of "receiving location information of the refrigerator" includes: input information of location information of the refrigerator is received.
As a further improvement of the invention, in the step of judging and confirming the located area of the refrigerator, the located area comprises areas corresponding to n levels of administrative units, wherein n is more than or equal to 1; the step of inquiring the characteristic menu of the region comprises the following steps: and respectively inquiring the characteristic menu in the area corresponding to the administrative units of the n levels where the refrigerator is located.
As a further improvement of the invention, the step of querying the characteristic menu of the area comprises the following steps: recording the selected menu in the area and recording as the menu of the user; respectively calculating the selection frequency of each user menu; if the selection frequency of a certain user menu is greater than the selection threshold frequency V1, the user menu is judged to be the characteristic menu of the area.
As a further improvement of the present invention, the step of "calculating the selection frequency of the recipe of each user separately" includes: and calculating the proportion between the selected times of the user menu and the total selected times of all the menus in the time period T, and recording the proportion as the selection frequency of the user menu.
As a further improvement of the invention, the step of querying the characteristic menu of the area comprises the following steps: searching for a menu which appears at the same time with the name of the area; and judging the menu as the characteristic menu of the region.
As a further improvement of the invention, the step of querying the characteristic menu of the area specifically comprises the following steps: inquiring characteristic menus of the region in different seasons; the step of inquiring the characteristic menu of the region in different seasons comprises the following steps: recording the menu selected in different seasons in the area and recording as the menu of the user; respectively calculating the selection frequency of each user menu in different seasons; if the selection frequency of a certain user menu in a certain season is greater than the season threshold frequency V2, the user menu is judged to be the characteristic menu in the season of the region.
As a further improvement of the invention, the step of querying the characteristic menu of the area specifically comprises the following steps: inquiring characteristic menus of the region on different dates; the step of inquiring the characteristic menu of the area on different dates comprises the following steps: recording the menu selected in different seasons in the area and recording as the menu of the user; respectively calculating the selection frequency of each user menu in different days; if the selection frequency of a certain user menu on a certain date is greater than the date threshold frequency V3, the user menu is judged to be the characteristic menu of the date in the area.
As a further improvement of the present invention, the step of "recommending a characteristic recipe for the region" includes: when the activation information of the refrigerator is received, controlling the screen of the refrigerator to display or prompting the name or the content of the characteristic menu in a voice way; or pushing the name or the content of the characteristic menu to the mobile terminal.
The invention provides a refrigerator, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor executes the program to realize the steps in the menu recommendation method.
The present invention provides 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 recipe recommendation method as described above.
The invention has the beneficial effects that: according to the invention, the characteristic menu of the region can be recommended to the user according to the region of the refrigerator. Therefore, the user can have the reference of the characteristic menu of the local area, and the user can conveniently select the favorite menu. So that recommendations about recipes can be more intelligent in an intelligent refrigerator. The characteristic menu in the region is obtained, so that the user can be helped to quickly integrate local life, and life convenience is brought to the user.
Drawings
FIG. 1 is a schematic flow chart of a recipe recommendation method of the present invention;
fig. 2 is a schematic structural view of a refrigerator according to the present invention.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 2, the present invention provides a recipe recommendation method, including:
receiving location information of the refrigerator 10;
judging and confirming the area of the refrigerator 10;
inquiring the characteristic menu of the region;
and recommending the characteristic menu of the region.
Thus, in the present invention, a characteristic recipe of a region can be recommended to a user according to the region where the refrigerator 10 is located. Therefore, the user can have the reference of the characteristic menu of the local area, and the user can conveniently select the favorite menu. So that the recommendation of the menu can be more intelligent in the intelligent refrigerator 10, and the life of the user is further facilitated.
Specifically, the step of "receiving the location information of the refrigerator 10" includes: the location information of the refrigerator 10 is located by GPS. The GPS is provided on the refrigerator 10 so that the GPS can automatically recognize location information where the refrigerator 10 is located, and further determine an area where the refrigerator 10 is located.
Alternatively, the step of "receiving the location information of the refrigerator 10" may also include: the location information of the refrigerator 10 input by the user is received. The user inputs the location information of the refrigerator 10 by voice on the screen 1 of the refrigerator 10 or by the stereo 2, thereby further determining the area where the refrigerator 10 is located.
Further, in the step "judging and confirming the located area of the refrigerator 10", the located area includes areas corresponding to n levels of administrative units, wherein n is more than or equal to 1;
the step of inquiring the characteristic menu of the region comprises the following steps: the feature recipes in the regions corresponding to the n levels of administrative units where the refrigerator 10 is located are respectively inquired.
The division of the located area can be completely different due to different levels of administrative units. The larger the level of the administrative unit is, the thicker the division of the region is, and the smaller the level of the administrative unit is, the thinner the division of the region is. For example, the "located region" may include a region corresponding to a country-level administrative unit, i.e., a corresponding country; the step of inquiring the characteristic menu of the region comprises the following steps: the characteristic recipe of the country in which the refrigerator 10 is located is inquired. For another example, the "located region" may include a region corresponding to an administrative unit at the province level, and is the corresponding province; the step of inquiring the characteristic menu of the region comprises the following steps: the feature recipe of the province where the refrigerator 10 is located is inquired. Further, the "located region" may also include a region corresponding to a geographical administrative unit, a region corresponding to a county administrative unit, and the like.
Therefore, in the menu recommendation method for the refrigerator 10 of the present invention, the region where the refrigerator 10 is located is determined and confirmed to be from different administrative levels, and the regions of n different levels of administrative units where the refrigerator 10 is located are confirmed, so that when the characteristic menu of the region is queried, the n different levels of characteristic menus can be queried. For example, if the refrigerator 10 is determined to be located in Sichuan province or Chengdu city, the characteristic menu of Sichuan province or Chengdu city may be searched and recommended to the user.
The step of "inquiring about the feature recipes in the area" may be performed in the cloud or in the memory of the refrigerator 10 itself.
The formation of the "feature recipe" will be described below.
In one embodiment, the selected menu in the area is recorded and recorded as the menu of the user;
respectively calculating the selection frequency of each user menu;
if the selection frequency of a certain user menu is greater than the selection threshold frequency V1, the user menu is judged to be the characteristic menu of the area.
That is, the menu selected by the user in the area each time is recorded by the refrigerator 10 and uploaded to the cloud, so that the information such as the name, the selection times, and the selection time of the menu of the user in the area can be acquired. And further calculating the selection frequency of each user menu, if the selection frequency of a certain user menu is greater than the selection threshold frequency V1, indicating that the user in the region frequently selects the menu, indicating that the user in the region is good at and likes cooking the menu, and determining that the user menu is the characteristic menu in the region.
Before the user is ready to cook, the user is required to remove the food material from the refrigerator 10 so that the refrigerator 10 can identify the food material removed by the user. In addition, since the same kind or several kinds of food materials may correspond to a plurality of recipes, the refrigerator 10 may query and output at least one recipe that requires the food material. Further, the user selects among the at least one recipe, thereby recording the recipe selected by the user. After the step, besides the menu of the user can be recorded, the menu can be pushed to the user in a video, picture or voice broadcasting mode in the cooking process of the user, and the user can conveniently refer to the menu in the cooking process.
Similarly, in the process of identifying the food material taken out of the refrigerator 10, the food material is subjected to image identification to obtain and record food material information; or receiving and recording the food material information input by the user; or scanning the tags on the food materials to obtain and record the food material information.
In the above identification and recording of food information, three specific embodiments are provided. The first is to arrange a camera in the refrigerator 10 or outside the refrigerator 10, and to photograph and identify food to obtain the food information; secondly, the screen 1 of the refrigerator 10 is arranged to accept the food information input by the user through typing, or a sound pickup device is arranged outside the refrigerator 10 to acquire the food information input by the user through voice; the third is to provide a scanning camera outside the refrigerator 10 to obtain food information by scanning a label on the food. The food information is obtained in all three ways and recorded in the memory inside the refrigerator 10.
Specifically, the step of "calculating the selection frequency of each user's menu respectively" includes:
and calculating the proportion between the selected times of the user menu and the total selected times of all the menus in the time period T, and recording the proportion as the selection frequency of the user menu.
Of course, if the selection frequency of the user menu is calculated in other manners, the purpose of the invention can be achieved, for example: and calculating the average selection times of the user menu in unit time and recording the average selection times as selection frequency and the like.
In another embodiment, the step of "inquiring the characteristic menu of the region" comprises:
searching for a menu which appears at the same time with the name of the area;
and judging the menu as the characteristic menu of the region.
That is, the menu appearing with the name of the area is searched in the network, and the menu is usually the recommended menu of the area, so that the menu can be judged as the characteristic menu. Of course, further, the menu which appears simultaneously with the name of the area can be further counted according to other big data calculation methods, so that the obtained characteristic menu is more accurate and can represent the preference of the user in the local area.
Further, since different foods are generally eaten by users in one place in different seasons, different feature recipes may be generated in different seasons. Therefore, the step of "inquiring the characteristic menu of the region" specifically includes:
inquiring characteristic menus of the region in different seasons;
the step of inquiring the characteristic menu of the region in different seasons comprises the following steps:
recording the menu selected in different seasons in the area and recording as the menu of the user;
respectively calculating the selection frequency of each user menu in different seasons;
if the selection frequency of a certain user menu in a certain season is greater than the season threshold frequency V2, the user menu is judged to be the characteristic menu in the season of the region.
Similarly, in this embodiment, the feature recipes in the current region in each season are determined and recorded in units of seasons, and the feature recipes may also be recommended to the user in units of seasons.
Alternatively, for users in certain regions, different foods may be consumed in certain festivals, seasons or days of the year in certain different countries, and further, different feature recipes may be generated on different dates. Therefore, the step of "inquiring the characteristic menu of the region" specifically includes:
inquiring characteristic menus of the region on different dates;
the step of inquiring the characteristic menu of the area on different dates comprises the following steps:
recording the menu selected in different seasons in the area and recording as the menu of the user;
respectively calculating the selection frequency of each user menu in different days;
if the selection frequency of a certain user menu on a certain date is greater than the date threshold frequency V3, the user menu is judged to be the characteristic menu of the date in the area.
Similarly, in this embodiment, the characteristic recipes in the current area on each date are determined and recorded in units of date, and the characteristic recipes can be recommended to the user in units of date.
In addition, the step of "recommending a feature recipe for the region" includes: when the activation information of the refrigerator 10 is received, controlling the screen 1 of the refrigerator 10 to display or controlling the sound 2 to prompt the name or the content of the characteristic menu in a voice mode; or pushing the name or the content of the characteristic menu to the mobile terminal. Further, as described above, the feature menu can be recommended to the user in a specific season and festival, so that the user can receive a prompt of the feature menu in time.
In summary, the present invention provides a menu recommending method, and specifically, a characteristic menu of a region may be recommended to a user according to the region of the refrigerator 10. Therefore, the user can have the reference of the characteristic menu of the local area, and the user can conveniently select the favorite menu. So that the recommendation of the menu can be more intelligent in the intelligent refrigerator 10, and the life of the user is further facilitated. Furthermore, different characteristic recipes are obtained according to different administrative levels of regions, time periods and judgment modes, and accordingly recommendation of the characteristic recipes is more accurate. The characteristic menu in the region is obtained, so that the user can be helped to quickly integrate local life, and life convenience is brought to the user.
The invention provides a refrigerator 10, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor realizes any one step of the menu recommendation method when executing the program, namely realizes the step of any one technical scheme of the menu recommendation method. In the present invention, the refrigerator 10 further includes a communication device 3 for communicating with the cloud and the mobile terminals of other users.
The present invention provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements any one of the steps of the recipe recommendation method described above, that is, implements the steps of any one of the technical solutions of the recipe recommendation method described above.
It should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art will be able to make the description as a whole, and the embodiments may be appropriately combined to form other embodiments as will be appreciated by those skilled in the art.
The above detailed description is merely illustrative of possible embodiments of the present invention and is not intended to limit the scope of the invention, which is intended to include all equivalent embodiments or modifications within the scope of the present invention without departing from the technical spirit of the present invention.
Claims (12)
1. A menu recommendation method is characterized by comprising the following steps:
receiving position information of a refrigerator;
judging and confirming the area of the refrigerator;
inquiring the characteristic menu of the region;
and recommending the characteristic menu of the region.
2. The recipe recommendation method according to claim 1, wherein the step of "receiving location information of a refrigerator" comprises: the position information of the refrigerator is located through a GPS.
3. The recipe recommendation method according to claim 1, wherein the step of "receiving location information of a refrigerator" comprises: input information of location information of the refrigerator is received.
4. The recipe recommendation method according to claim 1, wherein in the step "determining and confirming the located area of the refrigerator", the "located area" includes areas corresponding to n levels of administrative units, wherein n is greater than or equal to 1;
the step of inquiring the characteristic menu of the region comprises the following steps: and respectively inquiring the characteristic menu in the area corresponding to the administrative units of the n levels where the refrigerator is located.
5. The recipe recommendation method according to claim 1, wherein the step of "querying the feature recipes for the region" comprises:
recording the selected menu in the area and recording as the menu of the user;
respectively calculating the selection frequency of each user menu;
if the selection frequency of a certain user menu is greater than the selection threshold frequency V1, the user menu is judged to be the characteristic menu of the area.
6. The recipe recommendation method according to claim 5, wherein the step of separately calculating the selection frequency of the recipe for each user comprises:
and calculating the proportion between the selected times of the user menu and the total selected times of all the menus in the time period T, and recording the proportion as the selection frequency of the user menu.
7. The recipe recommendation method according to claim 1, wherein the step of "querying the feature recipes for the region" comprises:
searching for a menu which appears at the same time with the name of the area;
and judging the menu as the characteristic menu of the region.
8. The recipe recommendation method according to claim 1, wherein the step of "querying the feature recipes in the area" specifically comprises:
inquiring characteristic menus of the region in different seasons;
the step of inquiring the characteristic menu of the region in different seasons comprises the following steps:
recording the menu selected in different seasons in the area and recording as the menu of the user;
respectively calculating the selection frequency of each user menu in different seasons;
if the selection frequency of a certain user menu in a certain season is greater than the season threshold frequency V2, the user menu is judged to be the characteristic menu in the season of the region.
9. The recipe recommendation method according to claim 1, wherein the step of "querying the feature recipes in the area" specifically comprises:
inquiring characteristic menus of the region on different dates;
the step of inquiring the characteristic menu of the area on different dates comprises the following steps:
recording the menu selected in different seasons in the area and recording as the menu of the user;
respectively calculating the selection frequency of each user menu in different days;
if the selection frequency of a certain user menu on a certain date is greater than the date threshold frequency V3, the user menu is judged to be the characteristic menu of the date in the area.
10. The recipe recommendation method according to claim 1, wherein the step of "recommending a characteristic recipe for the region" comprises: when the activation information of the refrigerator is received, controlling the screen of the refrigerator to display or prompting the name or the content of the characteristic menu in a voice way; or pushing the name or the content of the characteristic menu to the mobile terminal.
11. A refrigerator comprising a memory and a processor, the memory storing a computer program operable on the processor, characterized in that the processor implements the steps in the recipe recommendation method according to any one of claims 1-10 when executing the program.
12. 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 recipe recommendation method as set forth in any one of claims 1-10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010074079.8A CN113158019A (en) | 2020-01-22 | 2020-01-22 | Menu recommendation method, refrigerator and computer-readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010074079.8A CN113158019A (en) | 2020-01-22 | 2020-01-22 | Menu recommendation method, refrigerator and computer-readable storage medium |
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| CN113158019A true CN113158019A (en) | 2021-07-23 |
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| CN202010074079.8A Pending CN113158019A (en) | 2020-01-22 | 2020-01-22 | Menu recommendation method, refrigerator and computer-readable storage medium |
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