CN111552874B - Refrigerator and recipe recommendation method - Google Patents
Refrigerator and recipe recommendation method Download PDFInfo
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- CN111552874B CN111552874B CN202010332028.0A CN202010332028A CN111552874B CN 111552874 B CN111552874 B CN 111552874B CN 202010332028 A CN202010332028 A CN 202010332028A CN 111552874 B CN111552874 B CN 111552874B
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Classifications
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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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- 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
- F25D11/00—Self-contained movable devices, e.g. domestic refrigerators
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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
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
-
- 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
- F25D29/005—Mounting of control devices
-
- 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
Abstract
The application discloses a refrigerator and a recipe recommendation method, which can obtain food material taking information of a plurality of users by acquiring food material taking information of a current user and an initial user. According to the food material taking information of the current user and the food material taking information of the initial user, the similarity between the food material taking information of each initial user and the food material taking information of the current user can be determined, so that the similarity of the initial user and the current user in eating habits can be known. Thus, the reference user is selected from the initial users through the corresponding similarity of each initial user, so that the reference user and the current user are related in eating habit. Thereby generating a target recipe recommended to the current user according to the eating habits so as to realize the function of automatically recommending the recipe to the current user.
Description
Technical Field
The application relates to the technical field of refrigerators, in particular to a refrigerator and a recipe recommendation method.
Background
With the increasing of living standard, the refrigerator becomes an indispensable household appliance in people's life, and users can put the food which is not completely eaten in the refrigerator for preservation, so that the food is prevented from being spoiled. Along with the improvement of living demands, the intelligent demands of people on refrigerator products are also increasing.
Disclosure of Invention
The refrigerator and the recipe recommendation method provided by the embodiment of the application are used for realizing the function of automatically recommending recipes to the current user.
The refrigerator provided by the embodiment of the application comprises:
a housing including a storage chamber, the storage chamber having an opening;
the door body is movably connected with the shell and is used for shielding the opening;
the display is arranged on the door body or the shell;
a processor configured to:
acquiring food material taking information of a current user and at least one initial user of the refrigerator; wherein, the food material information comprises: information of taking a plurality of preset different food materials in a specified time period;
determining the similarity between the food material taking information of each initial user and the food material taking information of the current user;
selecting at least one reference user from the initial users according to the similarity corresponding to each initial user;
generating a target recipe according to the similarity corresponding to the reference user and the food material taking information of the reference user;
and controlling the display to display the target recipe.
According to the refrigerator provided by the embodiments of the application, the food material taking information of a plurality of users can be obtained by acquiring the food material taking information of the current user and at least one initial user. The food material taking information can comprise the taking information for taking a plurality of different types of food materials in a specified time period, so that the taking information of a plurality of users for different food materials can be obtained, and the preference degree of different users for different food materials can be reflected according to the taking information of different food materials, and the eating habits of different users can be truly reflected. Therefore, the similarity between the food material taking information of each initial user and the food material taking information of the current user can be determined by analyzing the food material taking information of the current user and the food material taking information of the initial user, and the similarity of the current user and the initial user in eating habits can be known. At least one reference user is selected from the initial users through the similarity corresponding to each initial user, so that the reference user and the current user are related in eating habit. Thereby generating a target recipe recommended to the current user according to the eating habits so as to realize the function of automatically recommending the recipe to the current user.
In some examples, the food material handling information includes: the method comprises the steps that the preset taking frequency of taking a plurality of different food materials is set in a specified time period; the processor is further configured to:
determining food recommended to the current user according to the similarity corresponding to the reference user and the taking frequency of different types of food in the food taking information of the reference user;
and determining the target recipe according to the food materials recommended to the current user and the food materials reserved in a storage room in the refrigerator of the current user.
Based on the above example, due to the similarity between the food material taking information of the current usage user and the initial user, the similarity of the preference degree of the initial user and the current usage user for the food material can be reflected. So that the food recommended to the currently used user can be determined based on the analysis of these similarities. And then, according to the recommended food materials, a recipe recommended to the current user can be generated.
In some examples, the processor is further configured to:
determining the similarity between the food material taking information of each initial user and the food material taking information of the current user according to the food material taking information of the current user and the food material taking information of the initial user by adopting the following formula;
Wherein S is 0j Representing the similarity between the food material taking information of the jth initial user of the initial users and the food material taking information of the current user, N representing the total number of the plurality of different kinds of food materials, P 0x Representing the pick-up frequency of the x-th food material in the plurality of different food materials corresponding to the current user, P jx Representing the pick-up frequency of the jth initial user corresponding to the xth food material.
In some examples, the processor is further configured to:
determining a recommended value of each food material according to the similarity of the reference user and the picking frequency of the corresponding food material in the food material picking information of the reference user;
arranging the plurality of different kinds of food materials according to the size relation of the recommended value of each kind of food materials and the descending order;
selecting the first Y food materials from the food materials arranged in descending order as the food materials recommended to the current user; wherein Y is an integer and Y < N.
Based on the above example, the recommended order of the food materials may be determined by determining the recommended value. Thus, the food materials which are interested by the current user can be preferentially selected.
In some examples, the processor is further configured to:
and selecting the first Y food materials as the food materials recommended to the current user, and determining the food materials with zero taking frequency corresponding to the current user in the food materials in descending order as the food materials recommended to the current user.
Based on the above example, the determined food material recommended to the current user may be compared according to the food material taking information of the current user, and the food material that does not appear in the food material taking information of the current user may be used as the food material of potential interest of the current user, so as to be recommended to the current user.
In some examples, the processor is further configured to: for each food material, determining a recommended value of the food material according to the similarity of the reference user and the taking frequency of the corresponding food material in the food material taking information of the reference user by adopting the following formula;
wherein Q is x Representing a recommended value, S ', of an xth food material of the plurality of different types of food materials' 0e Similarity, P ', between food material pick-up information representing the e-th reference user of the reference users and the food material pick-up information of the currently used user' ex And representing the taking frequency of the ith reference user corresponding to the xth food material, wherein E is the total number of the reference users.
In some examples, the processor is further configured to:
determining a plurality of candidate recommended recipes according to food materials recommended to the current user; wherein the food recommended to the current user is the main food in the food required by the corresponding candidate recommended recipe; the candidate recommended recipes comprise food materials recommended to the current user and cooking information thereof;
determining the matching degree of the food materials corresponding to each candidate recommended recipe according to the food materials required by the candidate recommended recipes and the food materials reserved in the storage room of the refrigerator of the current user;
according to the size relation of the matching degree of the food materials corresponding to each candidate recommended recipe and the number of the types of the food materials required by each candidate recommended recipe, arranging the plurality of candidate recommended recipes in a descending order;
selecting the first Z candidate recommended recipes from the candidate recommended recipes arranged in descending order as the target recipes; wherein Z is an integer, the main food material in the first Z candidate recommended recipes is used as the target food material, and the cooking information in the first Z candidate recommended recipes is used as the target cooking information.
Based on the above example, the recommended order of the candidate recommended recipes may be determined by determining the order of arrangement of the candidate recommended recipes. This allows candidate recommended recipes that are of greater interest to the currently used user to be preferentially selected.
In some examples, the processor is further configured to: after the target recipe is generated, generating health tag information corresponding to the target recipe;
and controlling the display to display the target recipe and simultaneously controlling the display to display the health label information of the target recipe.
Based on the above example, one health tag may be given to each of the target recipes recommended to the currently used user according to the health efficacy thereof, so that the currently used user may select a recipe suitable for the own health requirement from the recommended target recipes according to the own requirement.
The recipe recommendation method provided by the embodiment of the application comprises the following steps:
acquiring food material taking information of a current user and at least one initial user of the refrigerator; wherein, the food material information comprises: information of taking a plurality of preset different food materials in a specified time period;
Determining the similarity between the food material taking information of each initial user and the food material taking information of the current user;
selecting at least one reference user from the initial users according to the similarity corresponding to each initial user;
generating a target recipe according to the similarity corresponding to the reference user and the food material taking information of the reference user;
and controlling the display to display the target recipe.
In some examples, the food material handling information includes: the method comprises the steps that the preset taking frequency of taking a plurality of different food materials is set in a specified time period;
the generating the target recipe includes:
determining food recommended to the current user according to the similarity corresponding to the reference user and the taking frequency of different types of food in the food taking information of the reference user;
and determining the target recipe according to the food materials recommended to the current user and the food materials reserved in a storage room in the refrigerator of the current user.
Drawings
Fig. 1 is a schematic view of a refrigerator according to some embodiments of the present application;
FIG. 2 is a schematic diagram illustrating the location of some image capturing units according to some embodiments of the present application;
FIG. 3 is a schematic view illustrating the location of other image capturing units according to some embodiments of the present application;
fig. 4 is a block diagram illustrating a configuration of some refrigerators according to some embodiments of the present application;
FIG. 5 is a block diagram of an architecture configuration in a processor provided in some embodiments of the application;
FIG. 6 is a flowchart of a recipe recommendation method according to some embodiments of the present application;
fig. 7 is a flowchart of a recipe recommendation method according to still other embodiments of the present application.
Reference numerals:
0100-storage room, 0100A-freezing room, 0100B-refrigerating room, 0200-door, 0200A-freezing room door, 0200B-refrigerating room door, 0101-storage drawer, 0102-first layer rack and 0103-second layer rack;
10-an image acquisition unit;
110-controller, 120-memory, 130-communicator, 140-user input interface, 150-user output interface, 160-power supply, 170-image acquisition interface, 180-display;
111-random access memory, 112-read only memory, 113-processor;
131-infrared signal interface, 132-radio frequency signal interface, 133-WIFI module, 134-Bluetooth module, 135-wired Ethernet module;
141-microphone, 142-touchpad, 143-haptic, 144-key, 151-LED interface, 152-vibration interface, 153-sound output interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present application. It will be apparent that the described embodiments are some, but not all, embodiments of the application. And embodiments of the application and features of the embodiments may be combined with each other without conflict. All other embodiments, which can be made by a person skilled in the art without creative efforts, based on the described embodiments of the present application fall within the protection scope of the present application.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.
It should be noted that the dimensions and shapes of the figures in the drawings do not reflect true proportions, and are intended to illustrate the present application only. And the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout.
Fig. 1 is a schematic perspective view of some refrigerators according to some embodiments of the present application. Referring to fig. 1, the refrigerator 1 of the present embodiment may include a cabinet having an approximately rectangular parallelepiped shape and a door 0200 movably connected to the cabinet. The cabinet may include a storage compartment 0100. In practical use, the appearance of the refrigerator 1 can be determined by the storage chamber 0100 defining the storage space and the door 0200 provided in the storage chamber 0100. In some examples, storage chamber 0100 is a box with an opening formed by a storage chamber bladder, a storage chamber housing, and a foam layer therebetween. The door 0200 is used to block the opening of the storage chamber 0100. The storage chamber 0100 is vertically partitioned into a freezing chamber 0100A located below and a refrigerating chamber 0100B located above. Wherein, the freezing chamber 0100A and the refrigerating chamber 0100B may have independent storage spaces, respectively.
In some examples, door 0200 may include a freezing chamber door 0200A and a refrigerating chamber door 0200B. Also, a freezing chamber 0100A is defined at a lower side of the storage chamber 0100 and an opening of the freezing chamber 0100A may be selectively covered by a freezing chamber door 0200A.
In some examples, the refrigerating chamber 0100B is defined at an upper side of the storage chamber 0100, i.e., the refrigerating chamber 0100B is disposed above the freezing chamber 0100A. The opening of the refrigerating chamber 0100B is selectively covered by the refrigerating chamber door 0200B. In practical use, refrigerating chamber door 0200B is pivotally mounted on refrigerating chamber 0100B such that the opening of refrigerating chamber 0100B can be selectively opened or closed by refrigerating chamber door 0200B.
In some examples, within the storage compartment 0100 of the refrigerator in embodiments of the present application, a storage drawer 0101 may be included, as well as a first tier rack 0102 and a second tier rack 0103 located on the storage drawer 0101. Wherein the storage drawer 0101 can be used to hold food (e.g., fruit, vegetables, etc.) on a first shelf 0102 and a second shelf 0103, respectively.
Along with the improvement of living demands, the intelligent demands of people on refrigerator products are also increasing. For example, a refrigerator-based menu recommendation function has become an important form of menu recommendation service. In general, the recipe recommendation function is mostly selected by the user, that is, the system labels the food recipes in advance and classifies the food recipes, and the user selects and screens the food recipes according to the needs of the user. Alternatively, similar recipes may be recommended to the user according to the user's recipe browse record or recipe collection record. However, these recipe recommendation methods have several problems: first, the actual eating habits of the user cannot be analyzed, and the menu browsing records and the menu collection records of the user cannot completely represent the actual eating habits of the user. Secondly, the recipe recommendation methods do not consider the condition of the existing food materials in the refrigerator of the user, constraint conditions are lacking when the recipe recommendation is carried out, and the user cannot realize fast and efficient recipe selection. Finally, these recipe recommendation methods only consider the preference of the user, and are not capable of taking into consideration in multiple dimensions in terms of nutrition ingredients, health efficacy, etc., and the situation of "recommending only the preference of the user but not considering the recipe of a scientific and healthy diet" is easy to occur. Therefore, the refrigerator capable of realizing the recipe recommendation function provided by some embodiments of the present application can recommend recipes to a currently used user based on analysis of eating habits of the user related to the currently used user.
The refrigerator provided by the embodiments of the application can be applied to a scene of recommending the recipes for the user, for example, analysis is performed based on the actual food material taking record of the user, instead of analysis of browsing records or collection records of the recipes according to the user, so that the eating habits of the user can be reflected more truly.
In some embodiments of the present application, as shown in fig. 2 and 3, the refrigerator may further include an image acquisition unit 10 for acquiring multiple frames of detection images of food materials taken by a user during the process of accessing the food materials. For example, a detection image of the food material put into the storage room by the user each time may be acquired by the image acquisition unit 10 to identify the kind of the food material put into the user by the detection image. The image acquisition unit 10 may acquire a plurality of frames of detection images of the food material taken out of the storage room by the user each time, so as to identify the type of the food material taken out by the user from the detection images. Of course, the user can also input and output food materials into the refrigerator through voice interaction.
In some examples, the image acquisition unit may be a color camera, a depth camera, or a combination of both. The color camera can be a common color camera or a wide-angle color camera. The depth camera may be a binocular camera, a structured light camera, or a time of flight (TOF) based camera.
In some embodiments of the present application, the view angle range of the image capturing unit can cover the entire refrigerating chamber and/or the entire freezing chamber, so that a detection image of a user taking food materials can be captured during the process of accessing food materials by the user. In some examples, the image acquisition unit is configured to acquire a multi-frame detection image with food material to be identified in response to an opening of the door body. For example, when the refrigerating chamber door 0200B is opened, acquisition is performed in a process of taking food material by a user to acquire a plurality of frames of detection images with food material to be identified.
In some examples, as shown in fig. 2, the image capturing unit 10 may be installed at the top end inside a storage chamber (e.g., a refrigerating chamber 0100B) of a refrigerator. Alternatively, as shown in fig. 3, the image pickup unit 10 may be mounted at the top end (e.g., near the top of the refrigerating chamber door 0200B) outside the storage chamber (e.g., refrigerating chamber 0100B) of the refrigerator.
In some embodiments of the present application, some block diagrams of the configuration of a refrigerator are exemplarily shown in fig. 4. As shown in fig. 4, the refrigerator may further include a controller 110, a memory 120, a communicator 130, a user input interface 140, a user output interface 150, a power supply 160, an image acquisition interface 170, and a display 180.
The controller 110 includes a random access memory (Random Access Memory, RAM) 111, a read only memory (Read Only Memory image, ROM) 112, a processor 113, a communication interface, and a communication bus. The controller 110 is used to control the operation and operation of the above-described devices, as well as communication collaboration among internal components, external and internal data processing functions.
Illustratively, when an interaction of a user pressing the key 144 or touching the touch pad 142 is detected, the controller 110 may control the processor 113 to generate a signal corresponding to the detected interaction and transmit the signal to the display 180 so that the display 180 may display corresponding contents or pictures.
In some examples, the processor 113 may be configured to receive the multiple frames of detected images acquired by the image acquisition unit and determine a feature vector for each frame of detected images; determining target confidence probabilities of the food materials to be identified corresponding to each food material type according to a class feature vector corresponding to a plurality of different food material types and a feature vector of each frame of detection image; and determining the type of the food material corresponding to the maximum value in the target confidence probability as the type of the food material to be identified. Further, the processor 113 may send a control instruction to the display 180 according to the determined type of food material to be identified, so that the display 180 may display the determined type or image of the food material to be identified.
In some examples, in some embodiments of the present application, the processor 113 may be configured to implement identification of the type of food material accessed when the food material is taken out of or put into the storage chamber of the refrigerator, and may dynamically identify the type of food material through multiple frames of images, so as to improve accuracy of identifying the type of food material. In addition, the food materials taken out of or put into the storage chamber of the refrigerator by the user can be managed, for example, the type, the number and the fresh-keeping period of the food materials put into the storage chamber by the user can be recorded and managed, and thus the food material storage record of the user can be formed. The type and the number of the food materials taken out by the user at each time can be recorded and managed, so that the food material taking record of the user can be formed.
In some examples, processor 113 may be a central processing unit (Central Processing Unit, CPU), a graphics processor (Graphics Processing Unit, GPU), or a combination of a CPU and GPU. The processor may further comprise a hardware chip. The hardware chip may be an Application-specific integrated circuit (ASIC), a programmable logic device (Programmable Logic Device, PLD), or a combination thereof. The PLD may be a complex programmable logic device (Complex Programmable Logic Device, CPLD), a Field programmable gate array (Field-Programmable Gate Array, FPGA), general array logic (Generic Array Logic, GAL), or any combination thereof.
A memory 120 for storing various operating programs, data and applications for driving and controlling under the control of the controller 110. The memory 120 may store various control signal instructions input by a user. In some examples, a memory is coupled to the processor via a bus or otherwise, and the memory stores at least one instruction, at least one program, code set, or instruction set that is loaded into and executed by the processor. In some examples, the Memory may be Volatile Memory (Volatile Memory), non-Volatile Memory (Non-Volatile Memory), or a combination thereof. The volatile Memory may be a Random-Access Memory (RAM), such as a static Random-Access Memory (Static Random Access Memory, SRAM), a dynamic Random-Access Memory (Dynamic Random Access Memory, DRAM). The non-volatile Memory may be a Read Only Memory (ROM), such as a programmable Read Only Memory (Programmable Read Only Memory, PROM), an erasable programmable Read Only Memory (Erasable Programmable Read Only Memory, EPROM), an electrically erasable programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM). The nonvolatile Memory may also be a Flash Memory (Flash Memory), a Magnetic Memory such as a Magnetic Tape (Magnetic Tape), a Floppy Disk (Floppy Disk), or a hard Disk. The non-volatile memory may also be an optical disc.
The communicator 130 may be a component for communicating with external devices or external servers according to various communication protocol types. For example, the refrigerator may transmit the content data to an external device connected via the communicator 130 or browse and download the content data from the external device connected via the communicator 130. The communicator 130 may include a network communication protocol module or a near field communication protocol module such as an infrared signal interface 131, a radio frequency signal interface 132, a WIFI module 133, a bluetooth communication protocol module 134, a wired ethernet communication protocol module 135, etc., so that the communicator 130 may implement communication of control signals and data signals with external devices or external servers according to the control of the controller 110. For example: in the infrared signal interface, the infrared control signal sent by the user needs to be converted according to the infrared control protocol and then output to the controller 110. For example, in the rf signal interface, the instruction of the rf control signal mode input by the user needs to be converted and output to the controller 110. For example, the WIFI module 133, the bluetooth communication protocol module 134, and the wired ethernet communication protocol module 135 receive a control signal of controlling the refrigerator by the external device, and process the control signal and output the processed control signal to the controller 110.
The user input interface 140 may include at least one of a microphone 141, a touch pad 142, a sensor 143, keys 144, etc., so that a user can input a user instruction for controlling the refrigerator to the refrigerator through voice, touch, gesture, press, etc.
The user output interface 150 outputs user instructions received by the user input interface 140 to the controller 110 to control the processor 113 to perform corresponding program steps through the controller 110. Alternatively, after the processor 113 executes the corresponding program steps, the display 180 may be controlled to display a corresponding screen or output corresponding contents through the user output interface. Here, the user output interface 150 may include an LED interface 151, a vibration interface 152 generating vibrations, a sound output interface 153 outputting sound, and the like. For example, the display may receive output signals such as audio, video, or data from the user output interface 150 and display the output signals as images on the display, as audio at the sound output interface 153, or as vibrations at the vibration interface 152.
The image acquisition interface 170 is used for connecting the image acquisition unit 10 with the refrigerator in a signal manner. For example, the detected image acquired by the image acquisition unit 10 may be transmitted to the processor 113 in the controller 110 through the image acquisition interface 170.
The display 180 is configured to receive the image signal input by the processor 113, and display video content, images, and a menu manipulation interface. The video content may be displayed from the video content processed by the processor 113, or may be displayed from the video content input by the communicator 130 or the user input interface 140. The display 180 may also simultaneously display a user manipulation interface UI for controlling the refrigerator. And, the display 180 may further include a display assembly for presenting a picture and a driving assembly driving the image display. Alternatively, if the display 180 is a projection display, a projection device and projection screen may be included.
A power supply 160 for providing operation power support for each element in the refrigerator under the control of the controller 110. May be in the form of a battery and associated control circuitry.
An architectural configuration block diagram of the operating system in memory 120 is illustrated in fig. 5. The operating system architecture is an application layer, a middleware layer and a kernel layer in sequence from top to bottom.
The application layer, the application program built in the system and the non-system application program belong to the application layer. Is responsible for direct interaction with the user. The application layer may include a plurality of applications, such as a setup application, an electronic post application, a media center application, and the like. These applications may be implemented as Web applications that execute based on WebKit engines, and in particular may be developed and executed based on HTML5, cascading Style Sheets (CSS), and JavaScript.
Here, HTML, which is called a hypertext markup language (HyperText Markup Language) in its entirety, is a standard markup language for creating web pages, which are described by markup tags for describing words, graphics, animations, sounds, tables, links, etc., and a browser reads an HTML document, interprets the contents of tags within the document, and displays them in the form of web pages.
CSS, collectively referred to as cascading style sheets (Cascading Style Sheets), is a computer language used to represent the style of HTML files and may be used to define style structures such as fonts, colors, positions, and the like. The CSS style can be directly stored in an HTML webpage or a separate style file, so that the control of the style in the webpage is realized.
JavaScript, a language applied to Web page programming, can be inserted into HTML pages and interpreted by a browser. The interaction logic of the Web application is realized through JavaScript. The JavaScript can be used for packaging the JavaScript extension interface through the browser to realize communication with the kernel layer.
Middleware layer, some standardized interfaces may be provided to support the operation of various environments and systems. For example, the middleware layer may be implemented as multimedia and hypermedia information coding expert group (MHEG) of middleware related to data broadcasting, as DLNA middleware of middleware related to communication with an external device, as middleware providing a browser environment in which applications within a display device are running, and the like.
A kernel layer providing core system services such as: file management, memory management, process management, network management, system security authority management and other services. The kernel layer may be implemented as a kernel based on various operating systems, such as a kernel based on the Linux operating system.
The kernel layer also provides communication between system software and hardware at the same time, providing device driver services for various hardware, such as: providing a display driver for a display, providing a camera driver for a camera, providing a key driver for a remote control, providing a WIFI driver for a WIFI module, providing an audio driver for an audio output interface, providing a Power Management (PM) module with a power management driver, and the like.
In some embodiments, the user may also input user commands at a graphical user interface (graphic user interface, GUI) displayed on the display 180, and the controller 110 may receive the user-input commands. Wherein a "user interface" is a media interface for interaction and exchange of information between an application or operating system and a user, which enables conversion between an internal form of information and a user-acceptable form. A commonly used presentation form of a user interface is a Graphical User Interface (GUI), which refers to a user interface related to computer operations that is displayed in a graphical manner. It may be an interface element such as an icon, a window, a control, etc. displayed in a display of the electronic device, where the control may include a visual interface element such as an icon, a control, a menu, a tab, a text box, a dialog box, a status bar, a channel bar, a Widget, etc.
As shown in fig. 6, some processors provided by some embodiments of the application may be configured to perform the following program steps:
s610, acquiring food material taking information of a current user and at least one initial user of the refrigerator; wherein, food material information of taking includes: and information for taking a plurality of preset different food materials in a specified time period.
S620, determining the similarity between the food material taking information of each initial user and the food material taking information of the current user.
S630, selecting at least one reference user from the initial users according to the similarity corresponding to each initial user.
S640, generating a target recipe according to the similarity corresponding to the reference user and the food material taking information of the reference user.
S650, controlling a display to display the target recipe.
According to the refrigerator provided by the embodiments of the application, the food material taking information of a plurality of users can be obtained by acquiring the food material taking information of the current user and at least one initial user. The food material taking information can comprise the taking information for taking a plurality of different types of food materials in a specified time period, so that the taking information of a plurality of users for different food materials can be obtained, and the preference degree of different users for different food materials can be reflected according to the taking information of different food materials, and the eating habits of different users can be truly reflected. Therefore, the similarity between the food material taking information of each initial user and the food material taking information of the current user can be determined by analyzing the food material taking information of the current user and the food material taking information of the initial user, and the similarity of the current user and the initial user in eating habits can be known. Thus, at least one reference user is selected from the initial users through the corresponding similarity of each initial user, so that the reference user and the current user are related in eating habit. Thereby generating a target recipe recommended to the current user according to the eating habits so as to realize the function of automatically recommending the recipe to the current user.
In some examples, the food material in the present application is a known kind of food material that is determined in advance. The various food materials may include names of the food materials. The target recipe may include attribute information of the recipe. For example, the attribute information of the recipe may include: the main food materials required by the recipe, the taste of the recipe, the cooking method of the recipe, the suitability for people, the suitability for information such as scenes, cuisine and the like. In particular implementations, attribute information for the target recipe may be stored in a recipe database summation function for retrieval and use.
In general, there is a refrigerator in a home to store food materials. In some examples of implementation scenarios, the refrigerator in the embodiments of the present application may be used by multiple people in the same home. Wherein, at a certain time, the person who is using the refrigerator can be the current user, and the other person in the home can be the initial user. Therefore, the initial user and the current user are members in the same family, and the recommended recipes can be made according to the preference degree of family members for food materials. Also, the food material taking information of the current user and the initial user may be information stored in a memory of the refrigerator.
In some examples, the members in one household may be one or two or more, and the initial user may be made at least one when the initial user and the current usage user are members in the same household. For example, the currently used user and the initial user may be two members in the same household. The initial user may be plural, for example, the current user and the initial user may be two of plural members in the same family.
And, for example, the image acquisition unit may acquire an image of a person using the refrigerator, and then the processor may perform face recognition according to the image acquired by the image acquisition unit, so as to input an ID (Identity) of the person into the refrigerator, so that food material taking information of the person may be stored. Of course, the ID (Identity) of the person may be entered into the refrigerator through functions such as voice interaction and fingerprint recognition, which are not limited herein.
In other examples of implementation scenarios, refrigerators in different households may be data-connected to a server. Therefore, the food material taking information stored in the refrigerators in different families can be uploaded to the server, and the information can be shared. In practice, at some time, the person using the refrigerator may be the current user, and the person using the other refrigerator may be the initial user. The processor 113 in the refrigerator of the current user may send an acquisition instruction to the server through the WIFI module 133, the bluetooth communication protocol module 134, the wired ethernet communication protocol module 135, etc., and after receiving the acquisition instruction, the server may send food material taking information of the current user and the plurality of initial users to the processor 113 of the refrigerator of the current user, so that the processor 113 acquires the food material taking information of the current user and the plurality of initial users. Thus, the initial user and the current user can be set as members in different families, and the recipes can be recommended to the current user according to diversified eating habits of the users.
In some examples, the initial user may be made at least one when the initial user and the current usage user are not members in the same household. For example, the initial user may be made one. The number of initial users may be plural, and is not limited herein.
In some examples, the selected reference user may be made multiple, which may diversify the reference. Of course, the selected reference user may be one, which is not limited herein.
In some examples, the refrigerator may record the number of times a user takes a plurality of different kinds of food materials from the storage compartment within a specified period of time. For example, table one below shows the number of times a user takes N different kinds of food materials from a storage room in a specified period of time. Wherein CS1 represents the number of times the user takes the 1 st food S1 from the storage chamber in the specified time period, CS2 represents the number of times the user takes the 2 nd food S2 from the storage chamber in the specified time period, CS3 represents the number of times the user takes the 3 rd food S3 from the storage chamber in the specified time period, CS4 represents the number of times the user takes the 4 th food S4 from the storage chamber in the specified time period, and CSN represents the number of times the user takes the N-th food SN from the storage chamber in the specified time period.
| Kinds of food materials | S 1 | S 2 | S 3 | S 4 | …… | S N |
| Number of times | CS 1 | CS 2 | CS 3 | CS 4 | …… | CS N |
List one
Since there may be a large difference in the number of times different users take food materials from the storage room in a specified time period, the formula may be:and determining the taking frequency of the same user for taking different food materials. For example, taking a user as an example, the user takes the 1 st food S1 from the storage room in a specified period of timeThe user takes 2 nd food S2 from the storage room within a specified period of time>The user takes N-th food material SN from the storage room within a specified time period>The same applies to the rest, and so on, and will not be described in detail herein.
In some examples, the food material pick-up information may include: and carrying out the taking frequency of taking a plurality of preset different food materials in a specified time period. The following table two shows food material pickup information of one user, that is, the pickup frequency of the user for N different kinds of food materials from the storage room in a specified time period. Wherein P1 represents the frequency of the user ' S taking the 1 st food S1 from the storage chamber in the specified time period, P2 represents the frequency of the user ' S taking the 2 nd food S2 from the storage chamber in the specified time period, P3 represents the frequency of the user ' S taking the 3 rd food S3 from the storage chamber in the specified time period, P4 represents the frequency of the user ' S taking the 4 th food S4 from the storage chamber in the specified time period, and PN represents the frequency of the user ' S taking the N-th food SN from the storage chamber in the specified time period.
| Kinds of food materials | S 1 | S 2 | S 3 | S 4 | …… | S N |
| Frequency of picking | P 1 | P 2 | P 3 | P 4 | …… | P N |
Watch II
For example, table three below shows the frequency of picking from the storage room for one user (i.e., hali) for a specified period of time for white vegetables (i.e., food item S1 st), cucumbers (i.e., food item S2 nd), pork (i.e., food item S3 rd), grass carp (i.e., food item S4 th), watermelon (i.e., food item S5 th), and apples (i.e., food item S6 th).
| Kinds of food materials | Cabbage | Cucumber | Pork meat | Grass carp | Watermelon with water melon | Apple tree |
| Frequency of picking | 0.2 | 0.2 | 0.3 | 0.1 | 0 | 0.2 |
Watch III
Illustratively, the following table four shows the frequency of the current use user's picking of N different kinds of food items from the storage compartment over a specified period of time. Wherein P01 represents the frequency of the current user taking the 1 st food S1 from the storage room in the specified time period, P02 represents the frequency of the current user taking the 2 nd food S2 from the storage room in the specified time period, P03 represents the frequency of the current user taking the 3 rd food S3 from the storage room in the specified time period, P 0x The P0N represents the frequency of taking the nth food material SN from the storage chamber in the specified time period, representing the frequency of taking the xth food material Sx from the storage chamber in the specified time period by the currently used user.
| Kinds of food materials | S 1 | S 2 | S 3 | …… | S x | …… | S N |
| Frequency of picking | P 01 | P 02 | P 03 | …… | P 0x | …… | P 0N |
Table four
For example, J initial users may be selected to obtain food material taking information of the J initial users. As shown in table five below, the frequency of the j-th initial user among the initial users to pick up N different kinds of food items from the storage room in a specified time period is shown. Wherein Pj1 represents the frequency of the jth initial user picking up the 1 st food S1 from the storage room in the specified time period, and Pj2 represents the jth initial user picking up the 2 nd food S1 from the storage room in the specified time periodThe frequency of taking the food S2, pj3 represents the frequency of taking the 3 rd food S3 from the storage room in the appointed time period by the jth initial user, P jx Representing the frequency of the jth initial user's picking up the xth food material Sx from the storage chamber within the specified time period, pjN represents the frequency of the jth initial user's picking up the nth food material SN from the storage chamber within the specified time period.
| Kinds of food materials | S 1 | S 2 | S 3 | …… | S x | …… | S N |
| Frequency of picking | P j1 | P j2 | P j3 | …… | P jx | …… | P jN |
TABLE five
In some examples, as shown in connection with fig. 7, the processor 113 may be further configured to perform the following program steps:
s641, determining food materials recommended to the current user according to the similarity corresponding to the reference user and the taking frequency of the food materials corresponding to different types in the food material taking information of the reference user;
S642, determining a target recipe based on the food recommended to the current user and the food reserved in the storage room in the refrigerator of the current user.
According to the embodiment of the application, due to the similarity between the food material taking information of the current user and the food material taking information of the initial user, the similarity of the preference degree of the initial user and the current user on the food material can be reflected. According to the analysis of the similarities, the food recommended to the current user can be determined by referring to the similarity corresponding to the user and the picking frequency of the food of different types in the food picking information of the reference user. And then, according to the recommended food materials, a recipe recommended to the current user can be generated.
In some examples, the determined similarity between the food material pick-up information of each initial user and the food material pick-up information of the currently used user may be, but is not limited to, cosine similarity, jaccard similarity, pearson coefficient similarity, and the like. In the specific implementation, the design determination may be performed according to the requirements of practical applications, which are not limited herein.
In some examples, the processor 113 may be further configured to: adopting the following formula, determining the similarity between the food material taking information of each initial user and the food material taking information of the current user according to the food material taking information of the current user and the food material taking information of the initial user;
Wherein S is 0j Representing the similarity between the food material taking information of the jth initial user of the initial users and the food material taking information of the current user, N representing the total number of a plurality of different kinds of food materials, P 0x Representing the pick-up frequency of the x-th food material in the plurality of different food materials corresponding to the current user, P jx Representing the pick-up frequency of the jth initial user corresponding to the xth food material. Therefore, it can be determined that the similarity between the food material taking information of the currently used user and the J initial users is: s is S 01 、S 02 、S 03 、……S 0j 、……S 0J 。
In some examples, the processor 113 may be further configured to rank the similarities in descending order according to a magnitude relationship of the similarities corresponding to each of the initial users. And selecting initial users corresponding to the first E similarities from the similarities arranged in descending order as reference users. Wherein 1< E < J and E is an integer. Since the similarity is arranged in a descending order, the preference degree of the initial user for the food material corresponding to the former similarity is similar to the preference degree of the current user for the food material. Therefore, the initial user corresponding to the front similarity can be used as a reference user to determine the food materials recommended to the current user according to the food material taking information of the reference user, so that the target recipes are generated according to the recommended food materials, and the generated target recipes and the eating habits of the current user can be matched more highly.
In some examples, the processor 113 may be further configured to: and determining the recommended value of the food material according to the similarity of the reference user and the taking frequency of the corresponding food material in the food material taking information of the reference user aiming at each food material. According to the magnitude relation of recommended values of each food material, a plurality of different kinds of food materials are arranged according to descending order. Selecting the first Y food materials from the food materials arranged in descending order as the food materials recommended to the current user; wherein Y is an integer and Y < N. In this way, the recommended order of the food materials can be determined by determining the recommended value. Thus, the food materials which are interested by the current user can be preferentially selected.
Illustratively, the processor 133 is further configured to: and when the first Y food materials are selected as the food materials recommended to the current user, determining the food materials with zero picking frequency corresponding to the current user from the food materials arranged in a descending order as the food materials recommended to the current user. Therefore, according to the food material taking information of the current user, the determined food materials recommended to the current user are compared, and the food materials which do not appear in the food material taking information of the current user can be used as the potential interesting food materials of the current user so as to be recommended to the current user.
In some examples, the processor 113 is further configured to: for each food material, determining a recommended value of the food material according to the similarity of the reference user and the taking frequency of the corresponding food material in the food material taking information of the reference user by adopting the following formula;
wherein Q is x Recommended value representing the xth food material in a plurality of different kinds of food materials, S' 0e Similarity, P ', between food material fetch information representing the e-th reference user of the reference users and food material fetch information of the currently used user' ex And representing the picking frequency of the ith reference user corresponding to the xth food material, wherein E is the total number of the reference users.
Illustratively, table six below shows the frequency of the E reference users' fetching of N different kinds of food materials from the storage compartment over a specified period of time. Wherein P' e1 represents the e-th reference user CK e The frequency of taking the 1 st food S1 from the storage room within a specified period of time, P' e2 representing the e-th reference user CK e The frequency of picking up the 2 nd food S2 from the storage room within a specified period of time, P' e3 representing the e-th reference user CK e The picking frequency, P ', of the 3 rd food S3 from the storage room within a specified period of time' ex Represents the e-th reference user CK e Taking the xth diet from the storage compartment for a specified period of timeThe picking frequency of the material Sx, P' eN represents the e-th reference user CK e The frequency of taking the nth food material SN from the storage room within the specified time period. Wherein E is more than or equal to 1 and less than or equal to E, and E is an integer.
| Kinds of food materials | S 1 | S 2 | S 3 | …… | S x | …… | S N |
| CK 1 Is the frequency of picking up (f) | P’ 11 | P’ 12 | P’ 13 | …… | P’ 1x | …… | P’ 1N |
| CK 2 Is the frequency of picking up (f) | P’ 21 | P’ 22 | P’ 23 | …… | P’ 2x | …… | P’ 2N |
| …… | …… | …… | …… | …… | …… | …… | …… |
| CK e Is the frequency of picking up (f) | P’ e1 | P’ e2 | P’ e3 | …… | P’ ex | …… | P’ eN |
| …… | …… | …… | …… | …… | …… | …… | …… |
| CK E Is the frequency of picking up (f) | P’ E1 | P’ E2 | P’ E3 | …… | P’ Ex | …… | P’ EN |
TABLE six
Illustratively, the following table seven shows the similarities corresponding to the E reference users. Wherein S'01 represents the 1 st reference user CK 1 S'02 represents the 2 nd reference user CK 2 S'03 represents the 3 rd reference user CK 3 S'0e represents the e-th reference user CK e S'0E represents the E-th reference user CK E Is a similarity of (3).
| Reference user | CK 1 | CK 2 | CK 3 | …… | CK x | …… | CK N |
| Similarity degree | S’ 01 | S’ 01 | S’ 01 | …… | S’ 0e | …… | S’ 0N |
Watch seven
Illustratively, the following table eight shows recommended values for each of N different kinds of food materials. Wherein Q1 represents the recommended value of the 1 st food material, andq2 represents the recommended value of the 2 nd food material, andq3 represents the recommended value of the 3 rd food material, and +.>Qx represents the recommended value of the x-th food material, and +.>QN represents the recommended value of the nth food material, and +.>
| Kinds of food materials | S 1 | S 2 | S 3 | …… | S x | …… | S N |
| Recommended value | Q 1 | Q 2 | Q 3 | …… | Q x | …… | Q N |
Table eight
In some examples, the processor 113 may be further configured to perform the following program steps:
determining a plurality of candidate recommended recipes according to food materials recommended to a currently used user; wherein, the food materials recommended to the current user are the main food materials in the food materials required by the corresponding candidate recommended recipes; the candidate recommended recipes comprise food materials and cooking information thereof recommended to the current user;
determining the matching degree of the food materials corresponding to each candidate recommended recipe according to the food materials required by the candidate recommended recipes and the food materials reserved in the storage room of the refrigerator of the current user;
according to the size relation of the matching degree of the food materials corresponding to each candidate recommended recipe and the number of the types of the food materials required by each candidate recommended recipe, arranging the plurality of candidate recommended recipes in a descending order;
selecting the first Z candidate recommended recipes from the candidate recommended recipes arranged in descending order as target recipes; wherein Z is an integer, the main food materials in the first Z candidate recommended recipes are used as target food materials, and the cooking information in the first Z candidate recommended recipes is used as target cooking information.
Based on the above example, the recommended order of the candidate recommended recipes may be determined by determining the order of arrangement of the candidate recommended recipes. This allows candidate recommended recipes that are of greater interest to the currently used user to be preferentially selected.
In some examples, the processor 113 may be further configured to: after the target recipe is generated, health tag information corresponding to the target recipe is generated. And controlling the display to display the health label information of the target recipe while controlling the display to display the target recipe. Thus, for each target recipe recommended to the current user, a health label is given according to the health efficacy of the target recipe, so that the current user can select a recipe suitable for the health requirement of the user from the recommended target recipes according to the self requirement.
The present application will be described in detail with reference to specific examples. The present embodiment is for better explaining the present application, but not limiting the present application. The description will be made taking, as an example, a 1 st food material S1 as a cabbage, a 2 nd food material S2 as a cucumber, a 3 rd food material S3 as pork, a 4 th food material S4 as grass carp, a 5 th food material S5 as a watermelon, a 6 th food material S6 as an apple, and e=3.
The working process of the refrigerator provided by some embodiments of the application can comprise the following steps:
(1) The processor 113 sends an acquisition instruction to the server, so that after the server receives the acquisition instruction, the processor 113 sends food material taking information corresponding to the current user and the J initial users to the processor 113, so that the processor 113 can acquire the food material taking information corresponding to the current user and the J initial users respectively. The food material picking information comprises picking frequency of picking Chinese cabbage, cucumber, pork, grass carp, watermelon and apple from a storage room in a specified time period.
(2) Processor 113 may be represented by a formulaThe similarity between the food material taking information of the current user and the food material taking information of J initial users is determined as follows: s is S 01 、S 02 、S 03 、……S 0j 、……S 0J 。
(3) The processor 113 arranges the similarities in descending order according to the magnitude relation of the similarities corresponding to each initial user: s is S 03 、S 02 、S 01 … …. And selecting initial users corresponding to the first 3 similarities from the similarities arranged in descending order as reference users. I.e. 3 reference users. The 1 st reference user of the 3 reference users corresponds to the similarity S' 01 Is S 03 Similarity S 'corresponding to the 2 nd reference user' 02 Is S 02 Similarity S 'corresponding to the 3 rd reference user' 03 Is S 01 。
And, 1 st reference user CK 1 The picking frequency P '11 of the corresponding Chinese cabbage is P31, the picking frequency P'12 of the corresponding cucumber is P32, the picking frequency P '13 of the corresponding pork is P33, the picking frequency P'14 of the corresponding grass carp is P34, the picking frequency P '15 of the corresponding watermelon is P35, and the picking frequency P'16 of the corresponding apple is P36.
Reference user CK 2 2 The picking frequency P '21 of the corresponding Chinese cabbage is P21, the picking frequency P '22 of the corresponding cucumber is P22, the picking frequency P '23 of the corresponding pork is P23, the picking frequency P '24 of the corresponding grass carp is P24, and the picking frequency P '25 of the corresponding watermelon is P25, the picking frequency P'26 of the corresponding apple is P26.
Reference user CK 3 3 The picking frequency P '31 of the corresponding Chinese cabbage is P11, the picking frequency P'32 of the corresponding cucumber is P12, the picking frequency P '33 of the corresponding pork is P13, the picking frequency P'34 of the corresponding grass carp is P14, the picking frequency P '35 of the corresponding watermelon is P15, and the picking frequency P'36 of the corresponding apple is P16.
(4) The processor 113 can be used for the Chinese cabbage according to the similarity S 'of the 1 st reference user' 01 Similarity S ' to its pick-up frequency P '11, 2 nd reference user ' 02 Similarity S ' to its pick-up frequency P '21, 3 rd reference user ' 03 And determining the recommended value Q1=S ' of the corresponding cabbage according to the picking frequency P '31 ' 01 *P’11+S’ 02 *P’21+S’ 03 *P’31。
By analogy, the recommended value Q3 of the corresponding pork, the recommended value Q4 of the corresponding grass carp, the recommended value Q5 of the corresponding watermelon and the recommended value Q6 of the corresponding apple can be obtained, and the specific process is not repeated here.
(5) If Q3> Q1> Q6> Q2> Q4> Q5, the 6 food materials may be sequentially arranged in descending order according to the magnitude relation of the determined recommended values Q1 to Q6: pork, cabbage, apple, cucumber, grass carp, watermelon.
(6) Pork, cabbage, apples, cucumbers and grass carp are selected as food materials recommended to current users. The grass carp is a food material with the corresponding taking frequency of zero for the current user.
(7) Based on recommended food material: pork, cabbage, apples, cucumbers and grass carp are matched according to the nutrition components of the food materials on the basis of guaranteeing the daily intake of the current user, so that a plurality of candidate recommended recipes are formed. For example, the candidate recommended recipes may include: stewing pork with cabbage, apple juice, parching cucumber with egg, stewing fish with bean curd, etc. And the candidate recommended recipes further include food materials recommended to the currently-used user and corresponding cooking information thereof.
(8) Recommending recipes according to the candidates: and (3) determining the matching degree of the food materials corresponding to each candidate recommended recipe by the food materials required by stewing cabbage, apple juice, cucumber, stir-fried eggs and fish with bean curd and the food materials reserved in a storage room of a refrigerator of a user currently used.
Based on the food access information of the current user, the type of food reserved in the refrigerator of the current user can be obtained. And matching the food materials corresponding to one candidate recommended recipe is A/B. Wherein B represents the total number of categories of food materials required for the candidate recommended recipe, and a represents the total number of categories of food materials that remain in the storage compartment of the refrigerator of the currently used user and that appear in the candidate recommended recipe. For example, the food materials retained in the refrigerator are: apple, cucumber, pork, cabbage, bean curd, candidate recommended recipes are: stewing cabbage with pork, apple juice, parching egg with cucumber, stewing fish with bean curd. The matching degree of the food materials of the pork stewed cabbage is 2/2. Similarly, the matching degree of the food materials of the apple juice is 1/1, the matching degree of the food materials of the cucumber and the fried egg is 1/2, and the matching degree of the food materials of the fish stewed bean curd is 1/2.
(9) According to the size relation of the matching degree of the food materials corresponding to each candidate recommended recipe and the number of the types of the food materials required by each candidate recommended recipe, the candidate recommended recipes are obtained: the stewed pork with cabbage, apple juice, fried egg with cucumber and stewed fish with bean curd are arranged in descending order.
The candidate recommended recipes are arranged in descending order based on their food material matching degree. If the number of the food materials required by the candidate recommended recipes is different but the matching degree of the food materials is the same, for example, the matching degree of the food materials of the pork stewed cabbage is 2/2 and the matching degree of the food materials of the apple juice is 1/1, the pork stewed cabbage is preferentially recommended compared with the apple juice according to the number of the required food materials.
If the number of the food materials required by the candidate recommended recipes is the same and the matching degree of the food materials is the same, if the matching degree of the food materials of the cucumber stir-fried eggs and the matching degree of the food materials of the fish stewed bean curd are both 1/2, analyzing according to the food material taking information of the current user, preferentially recommending the recipes of the current user with the food materials potentially interested by the user for the current user, and improving the diversity of recipe recommendation. For example, fish stewed tofu is recommended more preferentially than cucumber-fried eggs.
Therefore, the candidate recommended recipes are arranged in descending order: stewing cabbage with pork, apple juice, stewing bean curd with fish, and parching egg with cucumber.
(10) Among the candidate recommended recipes arranged in descending order, the first Z candidate recommended recipes are selected as target recipes. For example, in a candidate recommended recipe that is arranged in descending order: and selecting the first 3 candidate recommended recipes from the stewed pork cabbage, apple juice, stewed fish tofu, and fried cucumber and egg as target recipes. Namely, pork stewed cabbage, apple juice, fish stewed bean curd are selected as target recipes.
(11) And generating health label information corresponding to each target recipe. For example, for each target recipe, a piece of health tag information is given according to the health efficacy, such as efficacy of promoting toxin expelling of pork stewed cabbage and efficacy of improving memory of apple juice. Therefore, the current user can select a recipe suitable for the self health requirement from the recommended target recipes according to the self requirement.
(12) The processor 113 controls the display to display the target recipe and the health tag information of the target recipe. For example, when the pork stewed cabbage is displayed, the main food materials required by the pork stewed cabbage are displayed, cooking information of the pork stewed cabbage is displayed, and the pork stewed cabbage has the effect of promoting toxin expelling.
Based on the same inventive concept, some embodiments of the present application further provide a recipe recommendation method, as shown in fig. 6, which may include the following steps:
S610, acquiring food material taking information of a current user and at least one initial user of the refrigerator; wherein, food material information of taking includes: and information for taking a plurality of preset different food materials in a specified time period.
S620, determining the similarity between the food material taking information of each initial user and the food material taking information of the current user.
S630, selecting at least one reference user from the initial users according to the similarity corresponding to each initial user.
S640, generating a target recipe according to the similarity corresponding to the reference user and the food material taking information of the reference user.
S650, controlling a display to display the target recipe.
As shown in fig. 7, in some examples, step S640 of generating the target recipe may include the steps of:
s641, determining food materials recommended to the current user according to the similarity corresponding to the reference user and the taking frequency of the food materials corresponding to different types in the food material taking information of the reference user;
s642, determining a target recipe based on the food recommended to the current user and the food reserved in the storage room in the refrigerator of the current user.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (16)
1. A refrigerator, the refrigerator comprising:
a housing including a storage chamber, the storage chamber having an opening;
the door body is movably connected with the shell and is used for shielding the opening;
the display is arranged on the door body or the shell;
a processor configured to:
acquiring food material taking information of a current user and at least one initial user of the refrigerator; wherein, the food material information comprises: information of taking a plurality of preset different food materials in a specified time period; wherein the initial user is a person in a home or a person using other refrigerators;
determining the similarity between the food material taking information of each initial user and the food material taking information of the current user;
selecting at least one reference user from the initial users according to the similarity corresponding to each initial user;
generating a target recipe according to the similarity corresponding to the reference user and the food material taking information of the reference user;
and controlling the display to display the target recipe.
2. The refrigerator of claim 1, wherein the food material handling information includes: the method comprises the steps that the preset taking frequency of taking a plurality of different food materials is set in a specified time period;
The processor is further configured to:
determining food recommended to the current user according to the similarity corresponding to the reference user and the taking frequency of different types of food in the food taking information of the reference user;
and determining the target recipe according to the food materials recommended to the current user and the food materials reserved in a storage room in the refrigerator of the current user.
3. The refrigerator of claim 2, wherein the processor is further configured to:
determining the similarity between the food material taking information of each initial user and the food material taking information of the current user according to the food material taking information of the current user and the food material taking information of the initial user by adopting the following formula;
wherein S is 0j Representing the similarity between the food material taking information of the jth initial user of the initial users and the food material taking information of the current user, N representing the total number of the plurality of different kinds of food materials, P 0x Representing the pick-up frequency of the x-th food material in the plurality of different food materials corresponding to the current user, P jx Representing the pick-up frequency of the jth initial user corresponding to the xth food material.
4. The refrigerator of claim 3, wherein the processor is further configured to:
determining a recommended value of each food material according to the similarity of the reference user and the picking frequency of the corresponding food material in the food material picking information of the reference user;
arranging the plurality of different kinds of food materials according to the size relation of the recommended value of each kind of food materials and the descending order;
selecting the first Y food materials from the food materials arranged in descending order as the food materials recommended to the current user; wherein Y is an integer and Y < N.
5. The refrigerator of claim 4 wherein the processor is further configured to:
and selecting the first Y food materials as the food materials recommended to the current user, and determining the food materials with zero taking frequency corresponding to the current user in the food materials in descending order as the food materials recommended to the current user.
6. The refrigerator of claim 4 or 5, wherein the processor is further configured to: for each food material, determining a recommended value of the food material according to the similarity of the reference user and the taking frequency of the corresponding food material in the food material taking information of the reference user by adopting the following formula;
Wherein Q is x Representing a recommended value, S ', of an xth food material of the plurality of different types of food materials' 0e Food material pick-up on behalf of the e-th of the reference usersSimilarity between information and food material taking information of the currently used user, P' ex And representing the taking frequency of the ith reference user corresponding to the xth food material, wherein E is the total number of the reference users.
7. The refrigerator of any one of claims 2-5 wherein the processor is further configured to:
determining a plurality of candidate recommended recipes according to food materials recommended to the current user; wherein the food recommended to the current user is the main food in the food required by the corresponding candidate recommended recipe; the candidate recommended recipes comprise food materials recommended to the current user and cooking information thereof;
determining the matching degree of the food materials corresponding to each candidate recommended recipe according to the food materials required by the candidate recommended recipes and the food materials reserved in the storage room of the refrigerator of the current user;
according to the size relation of the matching degree of the food materials corresponding to each candidate recommended recipe and the number of the types of the food materials required by each candidate recommended recipe, arranging the plurality of candidate recommended recipes in a descending order;
Selecting the first Z candidate recommended recipes from the candidate recommended recipes arranged in descending order as the target recipes; wherein Z is an integer, the main food material in the first Z candidate recommended recipes is used as a target food material, and the cooking information in the first Z candidate recommended recipes is used as target cooking information.
8. The refrigerator of any one of claims 1-5 wherein the processor is further configured to: after the target recipe is generated, generating health tag information corresponding to the target recipe;
and controlling the display to display the target recipe and simultaneously controlling the display to display the health label information of the target recipe.
9. A recipe recommendation method, comprising:
acquiring food material taking information of a current user and at least one initial user of the refrigerator; wherein, the food material information comprises: information of taking a plurality of preset different food materials in a specified time period; wherein the initial user is a person in a home or a person using other refrigerators;
determining the similarity between the food material taking information of each initial user and the food material taking information of the current user;
Selecting at least one reference user from the initial users according to the similarity corresponding to each initial user;
and generating a target recipe according to the similarity corresponding to the reference user and the food material taking information of the reference user.
10. The recipe recommendation method of claim 9, wherein the food material handling information includes: the method comprises the steps that the preset taking frequency of taking a plurality of different food materials is set in a specified time period;
the generating the target recipe includes:
determining food recommended to the current user according to the similarity corresponding to the reference user and the taking frequency of different types of food in the food taking information of the reference user;
and determining the target recipe according to the food materials recommended to the current user and the food materials reserved in a storage room in the refrigerator of the current user.
11. The recipe recommendation method of claim 10, wherein the determining a similarity between food material pick-up information of each of the initial users and food material pick-up information of the currently used users comprises:
determining the similarity between the food material taking information of each initial user and the food material taking information of the current user according to the food material taking information of the current user and the food material taking information of the initial user by adopting the following formula;
Wherein S is 0j Representing the similarity between the food material taking information of the jth initial user of the initial users and the food material taking information of the current user, N representing the total number of the plurality of different kinds of food materials, P 0x Representing the pick-up frequency of the x-th food material in the plurality of different food materials corresponding to the current user, P jx Representing the pick-up frequency of the jth initial user corresponding to the xth food material.
12. The recipe recommendation method of claim 11, wherein determining the recommended food item for the currently-used user based on the similarity corresponding to the reference user and the pickup frequency of the food item of the different types in the food item pickup information of the reference user comprises:
determining a recommended value of each food material according to the similarity of the reference user and the picking frequency of the corresponding food material in the food material picking information of the reference user;
arranging the plurality of different kinds of food materials according to the size relation of the recommended value of each kind of food materials and the descending order;
selecting the first Y food materials from the food materials arranged in descending order as the food materials recommended to the current user; wherein Y is an integer and Y < N.
13. The recipe recommendation method as recited in claim 12, further comprising:
and determining the food materials with the taking frequency of zero corresponding to the current user in the food materials arranged in a descending order as the food materials recommended to the current user.
14. The recipe recommendation method according to claim 12 or 13, wherein the determining, for each food material, a recommended value of the food material based on a similarity of the reference user and a pickup frequency of the corresponding food material in the food material pickup information of the reference user includes:
for each food material, determining a recommended value of the food material according to the similarity of the reference user and the taking frequency of the corresponding food material in the food material taking information of the reference user by adopting the following formula;
wherein Q is x Representing a recommended value, S ', of an xth food material of the plurality of different types of food materials' 0e Similarity, P ', between food material pick-up information representing the e-th reference user of the reference users and the food material pick-up information of the currently used user' ex And representing the taking frequency of the ith reference user corresponding to the xth food material, wherein E is the total number of the reference users.
15. The recipe recommendation method according to any one of claims 10 to 13, wherein the determining the target recipe based on food materials recommended to the currently-used user and food materials reserved in a storage room in a refrigerator of the currently-used user includes:
determining a plurality of candidate recommended recipes according to food materials recommended to the current user; wherein the food recommended to the current user is the main food in the food required by the corresponding candidate recommended recipe; the candidate recommended recipes comprise food materials recommended to the current user and cooking information thereof;
determining the matching degree of the food materials corresponding to each candidate recommended recipe according to the food materials required by the candidate recommended recipes and the food materials reserved in the storage room of the refrigerator of the current user;
according to the size relation of the matching degree of the food materials corresponding to each candidate recommended recipe and the number of the types of the food materials required by each candidate recommended recipe, arranging the plurality of candidate recommended recipes in a descending order;
selecting the first Z candidate recommended recipes from the candidate recommended recipes arranged in descending order as the target recipes; wherein Z is an integer, the main food material in the first Z candidate recommended recipes is used as a target food material, and the cooking information in the first Z candidate recommended recipes is used as target cooking information.
16. A recipe recommendation method according to any one of claims 9 to 13, further comprising:
and after the target recipe is generated, generating health label information corresponding to the target recipe.
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| WO2022041992A1 (en) * | 2020-08-24 | 2022-03-03 | 海信视像科技股份有限公司 | Refrigerator, display device, server, recommendation method, and message reminding method |
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