CN113154782A - User recommendation method, refrigerator and computer-readable storage medium - Google Patents
User recommendation method, refrigerator and computer-readable storage medium Download PDFInfo
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- CN113154782A CN113154782A CN202010073992.6A CN202010073992A CN113154782A CN 113154782 A CN113154782 A CN 113154782A CN 202010073992 A CN202010073992 A CN 202010073992A CN 113154782 A CN113154782 A CN 113154782A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
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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
- G06F16/9536—Search customisation based on social or collaborative filtering
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2400/00—General features of, or devices for refrigerators, cold rooms, ice-boxes, or for cooling or freezing apparatus not covered by any other subclass
- F25D2400/36—Visual displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2600/00—Control issues
- F25D2600/02—Timing
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2600/00—Control issues
- F25D2600/06—Controlling according to a predetermined profile
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- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
Abstract
The invention provides a user recommendation method, a refrigerator and a computer readable storage medium, wherein the user recommendation method comprises the following steps: recording food put in a local refrigerator; acquiring high-frequency food of a local refrigerator; searching for a matching refrigerator with at least one same high frequency food; acquiring matching user information of a matching refrigerator; recommending the matched user information. According to the technical scheme, the high-frequency food of the local refrigerator can be judged by recording the food put into the local refrigerator, similar matching refrigerators can be searched in the cloud according to the high-frequency food of the local refrigerator, and the matching user information of the matching refrigerators is pushed to the user. Therefore, the user can search other users with the same preference through the favorite high-frequency food, so that a social network is formed, and the connection between people is tighter.
Description
Technical Field
The invention relates to the field of intelligent control of refrigerators, in particular to a user recommendation method capable of enhancing social contact among users, 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.
With the development of social networks, people are further close to each other, and people can be connected with each other according to different hobbies, so that people can know each other, and food is a communication bridge. And the refrigerator serves as a placing unit for storing food and can obtain user's taste about food and dishes, thereby serving as a communication medium between people.
Therefore, it is necessary to design a user recommendation method, a refrigerator, and a computer-readable storage medium that can enhance social connections between users.
Disclosure of Invention
In order to solve the above problem, the present invention provides a user recommendation method, including: recording food put in a local refrigerator; acquiring high-frequency food of a local refrigerator; searching for a matching refrigerator with at least one same high frequency food; acquiring matching user information of a matching refrigerator; recommending the matched user information.
As a further improvement of the present invention, the step of "recording the food put in the local refrigerator" comprises: carrying out image recognition on food to obtain and record food information; or receiving and recording input information of food information; alternatively, the food information is obtained and recorded by scanning a label on the food.
As a further improvement of the present invention, the step of "obtaining high frequency food of local refrigerator" comprises: calculating the recording times of each food in the T1 time period; and if the recorded times of a certain food in the T1 time period are more than the food threshold V1, judging that the food is the high-frequency food.
As a further improvement of the present invention, the step of "obtaining high frequency food of local refrigerator" comprises: calculating the recording times of each food in the T2 time period; judging the category of each food; calculating the recording times of the same category of food in the T2 time period; and if the recorded times of a certain category of food in the T2 time period are greater than the threshold V2 of the food type, judging that the food in the category is high-frequency food.
As a further improvement of the present invention, the step of "recommending the matching user information" includes: when the activation information of the refrigerator is received, controlling the screen display or voice prompt of the refrigerator to match with the user information; or, the matched user information is pushed to the mobile terminal.
In order to solve the above problem, the present invention provides a user recommendation method, including: recording selection information of the menu; acquiring a high-frequency menu of a local refrigerator; searching a matching refrigerator with at least one same high-frequency menu; acquiring matching user information of a matching refrigerator; recommending the matched user information.
As a further improvement of the present invention, the step of "recording selection information of a recipe" includes: identifying food material taken out of the refrigerator; inquiring and outputting at least one menu needing the food material; selection information for selecting a recipe is received.
As a further improvement of the present invention, the step of "obtaining a high frequency menu of the local refrigerator" includes: calculating the recording times of each menu in the T3 time period; and if the recording times of a certain menu in the T3 time period are more than the menu threshold value V3, judging that the menu is a high-frequency menu.
As a further improvement of the present invention, the step of "obtaining a high frequency menu of the local refrigerator" includes: calculating the recording times of each menu in the T4 time period; judging the category of each menu; calculating the recording times of the same type of menu in the T4 time period; and if the recording times of the menu of a certain category in the T4 time period are more than the menu type threshold value V4, judging that the menus of the category are high-frequency menus.
As a further improvement of the present invention, the step of "recommending the matching user information" includes: when the activation information of the refrigerator is received, controlling the screen display or voice prompt of the refrigerator to match with the user information; or, the matched user information is pushed 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 user recommendation method.
The present invention provides a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the user recommendation method as described above.
The invention has the beneficial effects that: according to the technical scheme, the high-frequency food of the local refrigerator can be judged by recording the food put into the local refrigerator, similar matching refrigerators can be searched in the cloud according to the high-frequency food of the local refrigerator, and the matching user information of the matching refrigerators is pushed to the user. Therefore, the user can search other users with the same preference through the favorite high-frequency food, so that a social network is formed, and the connection between people is tighter.
Drawings
Fig. 1 is a schematic flow chart of a refrigerator user recommendation method according to a first technical solution of the present invention;
fig. 2 is a schematic flow chart of a refrigerator user recommendation method according to a second technical solution of the present invention;
fig. 3 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, the present invention provides a user recommendation method, including:
recording the food placed in the local refrigerator 10;
acquiring high-frequency food of the local refrigerator 10;
finding a matching refrigerator 10 with at least one same high frequency food;
acquiring matching user information of the matching refrigerator 10;
recommending the matched user information.
In the technical scheme of the invention, the high-frequency food in the local refrigerator 10 can be judged by recording the food put into the local refrigerator 10, a similar matching refrigerator can be searched in the cloud according to the high-frequency food in the local refrigerator 10, and the matching user information of the matching refrigerator is pushed to the user. Therefore, the user can search other users with the same preference through the favorite high-frequency food, so that a social network is formed, and the connection between people is tighter.
Wherein the step of "recording the food put in the local refrigerator 10" includes:
carrying out image recognition on food to obtain and record food information; or receiving and recording input information of food information; alternatively, the food information is obtained and recorded by scanning a label on the food.
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 at the outer side of the refrigerator 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.
Wherein the food information includes: the name of the food, the update of the recorded times and the putting date of the food. Of course, for better serving the user, the food information may also include the category to which the food belongs to provide further calculations. Alternatively, the food information may further include: the shelf life of the food, nutritional components of the food, etc., and may be output to the user for reference.
In the technical scheme of the invention, two embodiments for obtaining high-frequency food are provided, and specifically, the following specific analysis is performed.
In the first embodiment, the step of "obtaining high frequency food of the local refrigerator 10" includes:
calculating the recording times of each food in the T1 time period;
and if the recorded times of a certain food in the T1 time period are more than the food threshold V1, judging that the food is the high-frequency food.
For example, if T1 is one month, the number of times an apple is recorded within one month is calculated, as described above, i.e., the number of times an apple is placed in the refrigerator 10 within one month is recorded. If the number of times of recording the apple in one month is higher than the food threshold value V1, the apple is a favorite food of the user and is judged as a high-frequency food.
In the second embodiment, the step of "obtaining high frequency food of the local refrigerator 10" includes:
calculating the recording times of each food in the T2 time period;
judging the category of each food;
calculating the recording times of the same category of food in the T2 time period;
and if the recorded times of a certain category of food in the T2 time period are greater than the threshold V2 of the food type, judging that the food in the category is high-frequency food.
Where T2 may be equal to T1, and V2 is typically greater than V1.
For example, if T2 is also a month, then the number of times the confectionary pieces are recorded for a month is calculated, as described above, i.e., the number of times the confectionary pieces are placed in the refrigerator 10 for a month is recorded. The dessert may include cake, donut, pudding, etc. Then after the number of records for each food within the time period of T2 is obtained, the foods belonging to the dessert category are selected and the number of records for the foods belonging to the dessert category is added to obtain the number of records for the foods belonging to the dessert category. If the number of times of recording the food of the dessert type is too large and exceeds the food type threshold V2, it is determined that the food in the dessert type is a favorite food of the user and that all the foods of the dessert type are high-frequency foods.
Thus, after obtaining the high frequency food, the high frequency food information of the local refrigerator 10 may be uploaded, or of course, may not be uploaded. Moreover, a matching refrigerator with at least one kind of same high frequency food can be found in the cloud, for example, if a matching refrigerator with the same apple or cake as the high frequency food is found, it can be determined that the user of the matching refrigerator has the same food preference as the user of the local refrigerator 10. Then, the matching user information is recommended to the user, and the social connection between the two users is strengthened.
In addition, the step of "recommending the matching user information" 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 and match with the user information; or, the matched user information is pushed to the mobile terminal.
That is, the matching user information may be outputted through the refrigerator 10 or the mobile terminal.
In summary, the present invention provides a user recommendation method, in the technical scheme of the present invention, the high frequency food in the local refrigerator 10 can be judged by recording the food put into the local refrigerator 10, and a similar matching refrigerator can be searched in the cloud according to the high frequency food in the local refrigerator 10, and the matching user information of the matching refrigerator is pushed to the user. Therefore, the user can search other users with the same preference through the favorite high-frequency food, so that a social network is formed, and the connection between people is tighter. In addition, the invention provides two methods for judging the high-frequency food, which mainly confirm the high-frequency food by judging the recording times, thereby better confirming the preference of the user and being beneficial to searching other users with the same preference.
As shown in fig. 2, the present invention provides another user recommendation method, including:
recording selection information of the menu;
acquiring a high-frequency menu of the local refrigerator 10;
searching a matching refrigerator with at least one same high-frequency menu;
acquiring matching user information of a matching refrigerator;
recommending the matched user information.
In the technical scheme of the invention, the high-frequency menu of the local refrigerator 10 can be judged by recording the menu selected by the user, a similar matching refrigerator can be searched in the cloud according to the high-frequency menu of the local refrigerator 10, and the information of the matching user of the matching refrigerator is pushed to the user. Therefore, the user can search other users with the same preference through the favorite high-frequency menu, so that a social network is formed, and the connection between people is tighter.
Wherein, the step of recording the selection information of the menu comprises the following steps:
identifying food material taken out of the refrigerator 10;
inquiring and outputting at least one menu needing the food material;
selection information for selecting a recipe is received.
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 menu, so that the refrigerator 10 can record the menu 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, the step "identifying the food material taken out of the refrigerator 10 by the user" includes: performing image recognition on food materials 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. This is the same as in the previous solution, and is not described herein again.
In the technical scheme of the invention, two embodiments for obtaining the high-frequency menu are provided, and specifically, the following specific analysis is carried out.
In the first embodiment, the step of "acquiring the high frequency menu of the local refrigerator 10" includes:
calculating the recording times of each menu in the T3 time period;
and if the recording times of a certain menu in the T3 time period are more than the menu threshold value V3, judging that the menu is a high-frequency menu.
Similarly, for example, if T3 is one month, the number of times the dish of onion fried eggs is recorded within one month is counted, as described above, i.e., the number of times the dish of onion fried eggs is selected by the user as a recipe within one month is recorded. If the number of times of recording the dish of the onion fried eggs in one month is higher and is higher than the menu threshold value V3, the onion fried eggs can be indicated as a favorite menu of the user and judged as a high-frequency menu.
In the second embodiment, the step of "acquiring the high frequency menu of the local refrigerator 10" includes:
calculating the recording times of each menu in the T4 time period;
judging the category of each menu;
calculating the recording times of the same type of menu in the T4 time period;
and if the recording times of the menu of a certain category in the T4 time period are more than the menu type threshold value V4, judging that the menus of the category are high-frequency menus.
For example, if T4 is also one month, the number of times a stew recipe is recorded within one month is calculated, as described above, i.e. the number of times the user selects a stew recipe within one month is recorded. Wherein the stew recipe can be chicken soup, fish soup, mutton soup, etc. And after the recording times of each menu in the T4 time period are obtained, selecting the menus belonging to the stew type menu, and adding the recording times of the stew type menu to obtain the recording times of the food of the stew type menu. If the number of times of recording the food of the stew type menu is excessive and exceeds the menu type threshold value V4, the stew type menu is the menu favored by the user, and all the menus in the stew type menu are judged to be high-frequency menus.
Thus, after obtaining the high frequency recipe, the high frequency recipe information of the local refrigerator 10 may be uploaded, or certainly may not be uploaded. Moreover, a matching refrigerator with at least one same high-frequency menu can be found in the cloud, for example, if a matching refrigerator with the same onion fried egg as the high-frequency menu or the same fish soup as the high-frequency menu is found, it can be determined that the user of the matching refrigerator has the same food preference as the user of the local refrigerator 10. Then, the matching user information is recommended to the user, and the social connection between the two users is strengthened.
In addition, the step of "recommending the matching user information" 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 and match with the user information; or, the matched user information is pushed to the mobile terminal.
That is, the matching user information may be outputted through the refrigerator 10 or the mobile terminal.
In summary, the present invention provides a user recommendation method, in the technical scheme of the present invention, a high frequency menu of the local refrigerator 10 may be determined by recording a menu selected by a user, a similar matching refrigerator may be searched in a cloud according to the high frequency menu of the local refrigerator 10, and matching user information of the matching refrigerator is pushed to the user. Therefore, the user can search other users with the same preference through the favorite high-frequency menu, so that a social network is formed, and the connection between people is tighter. In addition, the invention provides two methods for judging the high-frequency menu, which mainly confirm the high-frequency menu by judging the recording times, thereby better confirming the preference of the user and being beneficial to searching other users with the same preference.
As shown in fig. 3, the present invention further provides a refrigerator 10, which includes a memory and a processor, wherein the memory stores a computer program operable on the processor, and the processor implements any one of the steps of the user recommendation method when executing the program, that is, implements the steps of any one of the technical solutions of the user recommendation method. In the present invention, the refrigerator 10 further includes a communication device 3 for communicating with the refrigerator and the mobile terminal of another user.
The present invention also provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements any one of the steps of the user recommendation method described above, that is, implements the steps of any one of the technical solutions of the user 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 user recommendation method is characterized by comprising the following steps:
recording food put in a local refrigerator;
acquiring high-frequency food of a local refrigerator;
searching for a matching refrigerator with at least one same high frequency food;
acquiring matching user information of a matching refrigerator;
recommending the matched user information.
2. The user recommendation method of claim 1, wherein the step of "recording food put in a local refrigerator" comprises:
carrying out image recognition on food to obtain and record food information; or receiving and recording input information of food information; alternatively, the food information is obtained and recorded by scanning a label on the food.
3. The user recommendation method of claim 1, wherein the step of "obtaining high frequency food of local refrigerator" comprises:
calculating the recording times of each food in the T1 time period;
and if the recorded times of a certain food in the T1 time period are more than the food threshold V1, judging that the food is the high-frequency food.
4. The user recommendation method of claim 1, wherein the step of "obtaining high frequency food of local refrigerator" comprises:
calculating the recording times of each food in the T2 time period;
judging the category of each food;
calculating the recording times of the same category of food in the T2 time period;
and if the recorded times of a certain category of food in the T2 time period are greater than the threshold V2 of the food type, judging that the food in the category is high-frequency food.
5. The user recommendation method according to claim 1, wherein the step of "recommending the matching user information" comprises:
when the activation information of the refrigerator is received, controlling the screen display or voice prompt of the refrigerator to match with the user information; or, the matched user information is pushed to the mobile terminal.
6. A user recommendation method is characterized by comprising the following steps:
recording selection information of the menu;
acquiring a high-frequency menu of a local refrigerator;
searching a matching refrigerator with at least one same high-frequency menu;
acquiring matching user information of a matching refrigerator;
recommending the matched user information.
7. The user recommendation method of claim 1, wherein the step of recording selection information of the recipe comprises:
identifying food material taken out of the refrigerator;
inquiring and outputting at least one menu needing the food material;
selection information for selecting a recipe is received.
8. The user recommendation method of claim 1, wherein the step of obtaining the high frequency menu of the local refrigerator comprises:
calculating the recording times of each menu in the T3 time period;
and if the recording times of a certain menu in the T3 time period are more than the menu threshold value V3, judging that the menu is a high-frequency menu.
9. The user recommendation method of claim 1, wherein the step of obtaining the high frequency menu of the local refrigerator comprises:
calculating the recording times of each menu in the T4 time period;
judging the category of each menu;
calculating the recording times of the same type of menu in the T4 time period;
and if the recording times of the menu of a certain category in the T4 time period are more than the menu type threshold value V4, judging that the menus of the category are high-frequency menus.
10. The user recommendation method according to claim 1, wherein the step of "recommending the matching user information" comprises:
when the activation information of the refrigerator is received, controlling the screen display or voice prompt of the refrigerator to match with the user information; or, the matched user information is pushed to the mobile terminal.
11. A refrigerator comprising a memory and a processor, the memory storing a computer program operable on the processor, wherein the processor implements the steps of the user recommendation method of 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 user recommendation method of any one of claims 1-10.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010073992.6A CN113154782A (en) | 2020-01-22 | 2020-01-22 | User recommendation method, refrigerator and computer-readable storage medium |
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| CN202010073992.6A CN113154782A (en) | 2020-01-22 | 2020-01-22 | User recommendation method, refrigerator and computer-readable storage medium |
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2020
- 2020-01-22 CN CN202010073992.6A patent/CN113154782A/en active Pending
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| WO1998040832A2 (en) * | 1997-03-14 | 1998-09-17 | Firefly Network, Inc. | Method and apparatus for efficiently recommending items using automated collaborative filtering and feature-guided automated collaborative filtering |
| KR100775585B1 (en) * | 2006-12-13 | 2007-11-15 | 삼성전자주식회사 | Method for recommending music about character message and system thereof |
| CN106288589A (en) * | 2016-08-15 | 2017-01-04 | 合肥华凌股份有限公司 | A kind of intelligent refrigerator food materials choosing method, system and intelligent refrigerator |
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