CN112309543A - Recipe recommendation processing method and device - Google Patents
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- CN112309543A CN112309543A CN201910707363.1A CN201910707363A CN112309543A CN 112309543 A CN112309543 A CN 112309543A CN 201910707363 A CN201910707363 A CN 201910707363A CN 112309543 A CN112309543 A CN 112309543A
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Abstract
The embodiment of the invention provides a recipe recommendation processing method and device, wherein the method comprises the following steps: after a recipe recommendation trigger signal sent by a target terminal is acquired, a first user identifier corresponding to the target terminal is acquired according to the recipe recommendation trigger signal, and corresponding first user information and first recipe information are acquired according to the first user identifier; determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications; determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information; and determining a recipe to be recommended according to the first recipe information and second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal, so that the recipe mutual pushing among similar users is achieved, and the diversity of the recipes required by the users is increased.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a recipe recommendation processing method and device.
Background
In the aspect of diet, people take necessary nutrients, so that the selection of more kinds of food materials and the matching among the food materials become more and more important, and different recipes can be obtained by matching different food materials.
Currently existing recipe recommendation systems screen out similar recipes from a database according to information input by a user and display the recipes for the user to view. However, the recommendation method is simple, the recipe screening is only performed according to the fixed information of the user and is fixed, and repeated cooking can occur for a plurality of times according to the screened recipe. Therefore, the user cannot combine with the diet styles of other users and the diet diversity cannot be reflected.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a recipe recommendation processing method and device.
The embodiment of the invention provides a recipe recommendation processing method, which comprises the following steps:
after a recipe recommendation trigger signal sent by a target terminal is acquired, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications;
determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information;
and determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
Optionally, the determining a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information includes:
determining the total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information;
and sequencing according to the total weight value, and acquiring a preset number of second user identifications from large to small according to the total weight value as a recommended user identification group.
Optionally, the determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group includes:
determining the total weight value of each second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group;
and selecting corresponding second recipe information according to the total weight value and a preset rule, and determining a recommended recipe from the second recipe information.
Optionally, the determining a recommended recipe from the second recipe information includes:
if only one piece of second recipe information is selected, the recipe information which is not matched with the first recipe information in the second recipe information is used as a recommended recipe;
and if more than two pieces of second recipe information are selected, the same recipe information in the second recipe information which is not matched with the first recipe information and is in the second recipe information is used as a recommended recipe.
An embodiment of the present invention provides a recipe recommendation processing apparatus, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
the second acquisition module is used for determining a preset number of second user identifications and acquiring corresponding second user information and second recipe information according to the second user identifications;
the determining module is used for determining a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information;
and the recommending module is used for determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
Optionally, the determining module is specifically configured to:
determining the total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information;
and sequencing according to the total weight value, and acquiring a preset number of second user identifications from large to small according to the total weight value as a recommended user identification group.
Optionally, the recommendation module includes:
the calculation unit is used for determining the total weight value of each piece of second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group;
and the recommending unit is used for selecting corresponding second recipe information according to the total weight value and a preset rule and determining a recommended recipe from the second recipe information.
Optionally, the recommending unit is specifically configured to:
if only one piece of second recipe information is selected, the recipe information which is not matched with the first recipe information in the second recipe information is used as a recommended recipe;
and if more than two pieces of second recipe information are selected, the same recipe information in the second recipe information which is not matched with the first recipe information and is in the second recipe information is used as a recommended recipe.
The embodiment of the invention provides an electric appliance, which comprises a collecting unit, a sending unit, a processing unit and a storage unit, wherein:
the acquisition unit is used for acquiring a recipe recommendation trigger signal triggered by a target user, acquiring a corresponding first user identifier according to the recipe recommendation trigger signal, and calling corresponding first user information and first recipe information to the storage unit according to the first user identifier;
the sending unit is used for sending a calling application to the service platform after acquiring a recipe recommendation trigger signal triggered by a target user, and calling second user information and second recipe information corresponding to a preset number of second user identifications;
the processing unit is used for determining a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information, and determining and displaying a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group;
and the storage unit is used for storing the user information and the recipe information corresponding to each identifier.
The embodiment of the invention provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the recipe recommendation processing method.
Embodiments of the present invention provide a non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the recipe recommendation processing method as described above.
According to the recipe recommendation processing method provided by the embodiment of the invention, similar users are determined through matching among the user information, and then the recommended recipes are determined through matching among the recipe information of the similar users and recommended to the target user, so that the recipe mutual deduction among the similar users is achieved, and the diversity of the recipes required by the users is increased.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flowchart of a recipe recommendation processing method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a recipe recommendation processing method according to an embodiment of the present invention;
FIG. 3 is a flowchart of a recipe recommendation processing method according to an embodiment of the present invention;
FIG. 4 is a flowchart of a recipe recommendation processing method according to an embodiment of the present invention;
FIG. 5 is a block diagram of a recipe recommendation processing apparatus according to an embodiment of the present invention;
FIG. 6 is a block diagram of an electrical embodiment of the present invention;
FIG. 7 is a block diagram of an embodiment of an electronic device according to the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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.
Fig. 1 illustrates a recipe recommendation processing method according to an embodiment of the present invention, including:
s11, after acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier.
With reference to step S11, it should be noted that, in the embodiment of the present invention, the user may send a recipe recommendation trigger signal to the server or the service platform through the terminal device. The trigger signal includes identification information, which is unique identity information of a corresponding user, and may be a mobile phone number or an identity card number of the user, or a terminal number of a terminal held by the user, but is not limited thereto. For convenience of explanation of the scheme described in this embodiment, the unique identity information of the user to which the target terminal belongs is the first user identifier.
In the embodiment of the present invention, the target terminal may be a refrigerator, an electric cooker, an autoclave, a mobile terminal, a PC terminal, or a smart wearable device, but is not limited thereto.
In the embodiment of the invention, each user corresponds to own user information and recipe information. The user information may include, but is not limited to, a user's name, body information, health information, preference information, and the like. The user information can be collected through various channels, such as ordering records on the internet, purchasing fresh records on the internet, medical records and the like. The recipe information is a recipe that the user has cooked. For convenience of explanation of the scheme of the embodiment, here, the first user identifier corresponds to the first user information and the first recipe information.
S12, determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications.
With reference to step S12, it should be noted that, in the embodiment of the present invention, for convenience of explanation of the solution described in this embodiment, all the user identifiers other than the first user identifier are the second user identifier. The second user identification corresponds to second user information and second recipe information. In order to recommend recipes to a user to which the target terminal belongs. Therefore, a certain number of other users can be screened out, and the recipes to be recommended can be obtained by analyzing and processing the user information and the recipe information of the other users.
In the embodiment of the invention, a preset number of second user identifications can be randomly determined, and corresponding second user information and second recipe information are obtained according to the second user identifications.
In the embodiment of the invention, according to the current time, whether the latest login time or the latest trigger recommendation operation time of the user falls into the preset time period or not can be determined, the second user identifications in the preset number are determined, and the corresponding second user information and the second recipe information are obtained according to the second user identifications.
And S13, determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information.
With respect to step S13, it should be noted that, in the embodiment of the present invention, since the user information of each user may be different, a user closer to the user to which the target terminal belongs needs to be obtained. Thus, the goal of mutually pushing the recipes among similar users can be achieved. At this time, a recommended user identifier group needs to be determined from a preset number of second user identifiers according to the first user information and the second user information. Namely: and screening a certain number of user identifications from the preset number of second user identifications to serve as a recommended user identification group.
S14, determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
With reference to step S14, it should be noted that, in the embodiment of the present invention, since the user information of each user may be different, the recipe corresponding to the user identifier in the recommended user identifier group can be recommended only. At this time, a recipe to be recommended needs to be determined according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and the recipe to be recommended is sent to the target terminal. The target user can view the recipe information on the target terminal.
According to the recipe recommendation processing method provided by the embodiment of the invention, similar users are determined through matching among the user information, and then the recommended recipes are determined through matching among the recipe information of the similar users and recommended to the target user, so that the recipe mutual deduction among the similar users is achieved, and the diversity of the recipes required by the users is increased.
Fig. 2 illustrates a recipe recommendation processing method according to an embodiment of the present invention, including:
s21, after acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
s22, determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications;
s23, determining a total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information, sequencing according to the total weight value, and acquiring a preset number of second user identifications as recommended user identification groups according to the total weight value from large to small;
s24, determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
With respect to step S23, it should be noted that, in the embodiment of the present invention, each user identifier corresponds to a user information that includes a plurality of information items. And matching the second user information corresponding to each second user identification with the first user information corresponding to the first user identification in a weight matching calculation mode on the information content of the information item, and calculating the total weight value corresponding to each second user information in the matching process. And after the calculation is finished, sorting the second user identifications from large to small according to the total weight value, and further acquiring a preset number of second user identifications as a recommended user identification group. For example, a second user identifier corresponding to the top ten of the total weight value is obtained as the recommended user identifier group. The recommended user identification group indicates that a recommended recipe is determined in the recipe information corresponding to the user identifications, and the recommendation to the target terminal is completed.
Regarding the steps S21-S22, and S24, it should be noted that these steps are the same as the steps S11-S12, and S14 described in the above embodiments in principle, and are not described again here.
According to the recipe recommendation processing method provided by the embodiment of the invention, similar users are determined through matching among the user information, and then the recommended recipes are determined through matching among the recipe information of the similar users and recommended to the target user, so that the recipe mutual deduction among the similar users is achieved, and the diversity of the recipes required by the users is increased.
Fig. 3 illustrates a recipe recommendation processing method according to an embodiment of the present invention, including:
s31, after acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
s32, determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications;
s33, determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information;
s34, determining a total weight value of each second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, selecting corresponding second recipe information according to the total weight value and a preset rule, determining a recommended recipe from the second recipe information, and sending the recipe to be recommended to a target terminal.
In step S34, it should be noted that the recipe information corresponding to each user identifier includes a plurality of recipes. And matching the second recipe information corresponding to each identifier in the recommended user identifier group with the first recipe information corresponding to the first user identifier in a weight matching calculation mode on the content of the recipe information, and calculating the total weight value corresponding to each identifier in the matching process. And after the calculation is finished, selecting corresponding second recipe information according to the total weight value and a preset rule, determining a recommended recipe from the second recipe information, and sending the recipe to be recommended to a target terminal. For example, when only one second user identifier is selected, if only one corresponding second recipe information exists, the recipe information which is not matched with the first recipe information in the second recipe information is used as the recommended recipe.
And if more than two second user identifications are selected, corresponding more than two second recipe information exist, and the same recipe information which is not matched with the first recipe information and is in each second recipe information in the second recipe information is used as a recommended recipe.
Regarding the step S31-step S33, it should be noted that these steps are the same as the step S11-step S13 in the above embodiment in principle, and are not described again here.
According to the recipe recommendation processing method provided by the embodiment of the invention, similar users are determined through matching among the user information, and then the recommended recipes are determined through matching among the recipe information of the similar users and recommended to the target user, so that the recipe mutual deduction among the similar users is achieved, and the diversity of the recipes required by the users is increased.
Fig. 4 illustrates a recipe recommendation processing method according to an embodiment of the present invention, including:
s41, after acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
s42, determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications;
s43, determining a total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information, sequencing according to the total weight value, and acquiring a preset number of second user identifications as recommended user identification groups according to the total weight value from large to small;
s44, determining a total weight value of each second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, selecting corresponding second recipe information according to the total weight value and a preset rule, determining a recommended recipe from the second recipe information, and sending the recipe to be recommended to a target terminal.
The steps in the above embodiments are explained in detail, and are not described again.
According to the recipe recommendation processing method provided by the embodiment of the invention, similar users are determined through matching among the user information, and then the recommended recipes are determined through matching among the recipe information of the similar users and recommended to the target user, so that the recipe mutual deduction among the similar users is achieved, and the diversity of the recipes required by the users is increased.
Fig. 5 shows a recipe recommendation processing apparatus according to an embodiment of the present invention, which includes a first obtaining module 51, a second obtaining module 52, a determining module 53, and a recommending module 54, where:
the first obtaining module 51 is configured to obtain a recipe recommendation trigger signal sent by a target terminal, obtain a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and obtain corresponding first user information and first recipe information according to the first user identifier;
the second obtaining module 52 is configured to determine a preset number of second user identifiers, and obtain corresponding second user information and second recipe information according to the second user identifiers;
a determining module 53, configured to determine a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information;
and the recommending module 54 is configured to determine a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and send the recipe to be recommended to a target terminal.
Since the principle of the apparatus according to the embodiment of the present invention is the same as that of the method according to the above embodiment, further details are not described herein for further explanation.
It should be noted that, in the embodiment of the present invention, the relevant functional unit may be implemented by a hardware processor (processor of hardware).
The recipe recommendation processing device provided by the embodiment of the invention determines similar users through matching among the user information, determines recommended recipes through matching among the recipe information of the similar users and recommends the recommended recipes to a target user, thereby achieving mutual pushing of the recipes among the similar users and increasing the diversity of the recipes required by the users.
An embodiment of the present invention provides a recipe recommendation processing apparatus, including a first obtaining module, a second obtaining module, a determining module, and a recommending module, wherein:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
the second acquisition module is used for determining a preset number of second user identifications and acquiring corresponding second user information and second recipe information according to the second user identifications;
the determining module is used for determining a total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information, sequencing according to the total weight value, and acquiring a preset number of second user identifications as recommended user identification groups from large to small according to the total weight value;
and the recommending module is used for determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
Since the principle of the apparatus according to the embodiment of the present invention is the same as that of the method according to the above embodiment, further details are not described herein for further explanation.
It should be noted that, in the embodiment of the present invention, the relevant functional unit may be implemented by a hardware processor (processor of hardware).
The recipe recommendation processing device provided by the embodiment of the invention determines similar users through matching among the user information, determines recommended recipes through matching among the recipe information of the similar users and recommends the recommended recipes to a target user, thereby achieving mutual pushing of the recipes among the similar users and increasing the diversity of the recipes required by the users.
An embodiment of the present invention provides a recipe recommendation processing apparatus, including a first obtaining module, a second obtaining module, a determining module, and a recommending module, wherein:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
the second acquisition module is used for determining a preset number of second user identifications and acquiring corresponding second user information and second recipe information according to the second user identifications;
the determining module is used for determining a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information;
and the recommending module is used for determining a total weight value of each second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, selecting corresponding second recipe information according to the total weight value and a preset rule, determining a recommended recipe from the second recipe information, and sending the recipe to be recommended to the target terminal.
Since the principle of the apparatus according to the embodiment of the present invention is the same as that of the method according to the above embodiment, further details are not described herein for further explanation.
It should be noted that, in the embodiment of the present invention, the relevant functional unit may be implemented by a hardware processor (processor of hardware).
The recipe recommendation processing device provided by the embodiment of the invention determines similar users through matching among the user information, determines recommended recipes through matching among the recipe information of the similar users and recommends the recommended recipes to a target user, thereby achieving mutual pushing of the recipes among the similar users and increasing the diversity of the recipes required by the users.
An embodiment of the present invention provides a recipe recommendation processing apparatus, including a first obtaining module, a second obtaining module, a determining module, and a recommending module, wherein:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
the second acquisition module is used for determining a preset number of second user identifications and acquiring corresponding second user information and second recipe information according to the second user identifications;
the determining module is used for determining a total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information, sequencing according to the total weight value, and acquiring a preset number of second user identifications as recommended user identification groups from large to small according to the total weight value;
and the recommending module is used for determining a total weight value of each second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, selecting corresponding second recipe information according to the total weight value and a preset rule, determining a recommended recipe from the second recipe information, and sending the recipe to be recommended to the target terminal.
Since the principle of the apparatus according to the embodiment of the present invention is the same as that of the method according to the above embodiment, further details are not described herein for further explanation.
It should be noted that, in the embodiment of the present invention, the relevant functional unit may be implemented by a hardware processor (processor of hardware).
The recipe recommendation processing device provided by the embodiment of the invention determines similar users through matching among the user information, determines recommended recipes through matching among the recipe information of the similar users and recommends the recommended recipes to a target user, thereby achieving mutual pushing of the recipes among the similar users and increasing the diversity of the recipes required by the users.
Fig. 6 shows an electrical appliance provided in an embodiment of the present invention, which includes a collecting unit 61, a sending unit 62, a processing unit 63, and a storage unit 64, where:
the acquisition unit 61 is configured to acquire a recipe recommendation trigger signal triggered by a target user, acquire a corresponding first user identifier according to the recipe recommendation trigger signal, and call corresponding first user information and first recipe information to the storage unit according to the first user identifier;
the sending unit 62 is configured to send a calling application to the service platform after acquiring a recipe recommendation trigger signal triggered by the target user, and call second user information and second recipe information corresponding to a preset number of second user identifiers;
the processing unit 63 is configured to determine a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information, and determine and display a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group;
and the storage unit 64 is used for storing the user information and the recipe information corresponding to each identifier.
In the embodiment of the present invention, the electric appliance may be a refrigerator, an electric cooker, or an autoclave, but is not limited thereto. The storage unit of the electric appliance can automatically store the user identification, the user information and the recipe information of the target user.
In the embodiment of the invention, different users use respective appliances. The electric appliance can communicate with the service platform, and upload respective user information and recipe information to the service platform to complete information sharing among different users.
In the execution process, the electric appliance can keep communication with the service platform, the user information and the recipe information of other users are called, then the information is processed to obtain the recommended recipe, and the recommended recipe is displayed on a display screen of the electric appliance for the user to check.
According to the electric appliance provided by the embodiment of the invention, similar users are determined through matching among the user information, and then the recommended recipes are determined through matching among the recipe information of the similar users and recommended to the target user, so that the recipe mutual deduction among the similar users is achieved, and the diversity of the recipes required by the users is increased.
Fig. 7 illustrates a physical structure diagram of an electronic device, and as shown in fig. 7, the electronic device may include: a processor (processor)71, a communication Interface (Communications Interface)72, a memory (memory)73 and a communication bus 74, wherein the processor 71, the communication Interface 72 and the memory 73 are communicated with each other via the communication bus 74. Processor 71 may call logic instructions in memory 73 to perform the following method: after a recipe recommendation trigger signal sent by a target terminal is acquired, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier; determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications; determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information; and determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
In addition, the logic instructions in the memory 73 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to, when executed by a processor, perform the control method of the wind turbine provided in the foregoing embodiments, for example, the method includes: after a recipe recommendation trigger signal sent by a target terminal is acquired, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier; determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications; determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information; and determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (11)
1. A recipe recommendation processing method comprising:
after a recipe recommendation trigger signal sent by a target terminal is acquired, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
determining a preset number of second user identifications, and obtaining corresponding second user information and second recipe information according to the second user identifications;
determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information;
and determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
2. The recipe recommendation processing method according to claim 1, wherein the determining a recommended user identification group from a preset number of second user identifications according to the first user information and the second user information comprises:
determining the total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information;
and sequencing according to the total weight value, and acquiring a preset number of second user identifications from large to small according to the total weight value as a recommended user identification group.
3. The recipe recommendation processing method according to claim 1, wherein the determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group includes:
determining the total weight value of each second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group;
and selecting corresponding second recipe information according to the total weight value and a preset rule, and determining a recommended recipe from the second recipe information.
4. The recipe recommendation processing method according to claim 3, wherein the determining a recommended recipe from the second recipe information comprises:
if only one piece of second recipe information is selected, the recipe information which is not matched with the first recipe information in the second recipe information is used as a recommended recipe;
and if more than two pieces of second recipe information are selected, the same recipe information in the second recipe information which is not matched with the first recipe information and is in the second recipe information is used as a recommended recipe.
5. A recipe recommendation processing apparatus characterized by comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a recipe recommendation trigger signal sent by a target terminal, acquiring a first user identifier corresponding to the target terminal according to the recipe recommendation trigger signal, and acquiring corresponding first user information and first recipe information according to the first user identifier;
the second acquisition module is used for determining a preset number of second user identifications and acquiring corresponding second user information and second recipe information according to the second user identifications;
the determining module is used for determining a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information;
and the recommending module is used for determining a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group, and sending the recipe to be recommended to a target terminal.
6. The recipe recommendation processing device according to claim 5, wherein the determining module is specifically configured to:
determining the total weight value of each piece of second user information matched with the first user information in a weight matching calculation mode according to the first user information and the second user information;
and sequencing according to the total weight value, and acquiring a preset number of second user identifications from large to small according to the total weight value as a recommended user identification group.
7. The recipe recommendation processing device according to claim 5, wherein the recommendation module comprises:
the calculation unit is used for determining the total weight value of each piece of second recipe information matched with the first recipe information by adopting a weight matching calculation mode according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group;
and the recommending unit is used for selecting corresponding second recipe information according to the total weight value and a preset rule and determining a recommended recipe from the second recipe information.
8. The recipe recommendation processing apparatus according to claim 7, wherein the recommendation unit is specifically configured to:
if only one piece of second recipe information is selected, the recipe information which is not matched with the first recipe information in the second recipe information is used as a recommended recipe;
and if more than two pieces of second recipe information are selected, the same recipe information in the second recipe information which is not matched with the first recipe information and is in the second recipe information is used as a recommended recipe.
9. The electric appliance is characterized by comprising a collecting unit, a sending unit, a processing unit and a storage unit, wherein:
the acquisition unit is used for acquiring a recipe recommendation trigger signal triggered by a target user, acquiring a corresponding first user identifier according to the recipe recommendation trigger signal, and calling corresponding first user information and first recipe information to the storage unit according to the first user identifier;
the sending unit is used for sending a calling application to the service platform after acquiring a recipe recommendation trigger signal triggered by a target user, and calling second user information and second recipe information corresponding to a preset number of second user identifications;
the processing unit is used for determining a recommended user identifier group from a preset number of second user identifiers according to the first user information and the second user information, and determining and displaying a recipe to be recommended according to the first recipe information and the second recipe information corresponding to each identifier in the recommended user identifier group;
and the storage unit is used for storing the user information and the recipe information corresponding to each identifier.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the recipe recommendation processing method according to any one of claims 1 to 4 when executing the program.
11. A non-transitory computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the recipe recommendation processing method according to any one of claims 1 to 4.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090009815A1 (en) * | 2007-07-05 | 2009-01-08 | Gregory Karasik | Apparatus for electronic storage of recipes |
| CN105653699A (en) * | 2015-12-30 | 2016-06-08 | 青岛海尔股份有限公司 | Recipe based information pushing method and apparatus |
| CN106288634A (en) * | 2016-08-04 | 2017-01-04 | 海信集团有限公司 | Menu recommends method, device and intelligent refrigerator |
| CN106651533A (en) * | 2016-12-29 | 2017-05-10 | 合肥华凌股份有限公司 | User behavior-based personalized product recommendation method and apparatus |
| CN107024072A (en) * | 2016-01-29 | 2017-08-08 | Lg 电子株式会社 | The control system of the sensor communicated with refrigerator and the refrigerator including the sensor |
| CN107886400A (en) * | 2017-11-15 | 2018-04-06 | 维沃移动通信有限公司 | A kind of recipe recommendation method, device and mobile terminal |
| CN108769159A (en) * | 2018-05-16 | 2018-11-06 | 北京豆果信息技术有限公司 | A kind of electronic cookbook intelligent recommendation method |
| CN108806770A (en) * | 2018-05-16 | 2018-11-13 | 北京豆果信息技术有限公司 | A kind of diet recommendation method based on user |
| CN109285597A (en) * | 2018-10-08 | 2019-01-29 | 北京健康有益科技有限公司 | A kind of dietotherapy recipe recommendation method, apparatus and readable medium |
| CN109346153A (en) * | 2018-08-31 | 2019-02-15 | 北京唐冠天朗科技开发有限公司 | It is a kind of to digitize system and method for having dinner |
| CN109817305A (en) * | 2017-11-22 | 2019-05-28 | 九阳股份有限公司 | A kind of recipe recommendation method and system based on shared kitchen appliance |
| CN109994182A (en) * | 2018-01-02 | 2019-07-09 | 佛山市顺德区美的电热电器制造有限公司 | A kind of recommended method of recipe, device and storage medium |
-
2019
- 2019-08-01 CN CN201910707363.1A patent/CN112309543A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090009815A1 (en) * | 2007-07-05 | 2009-01-08 | Gregory Karasik | Apparatus for electronic storage of recipes |
| CN105653699A (en) * | 2015-12-30 | 2016-06-08 | 青岛海尔股份有限公司 | Recipe based information pushing method and apparatus |
| CN107024072A (en) * | 2016-01-29 | 2017-08-08 | Lg 电子株式会社 | The control system of the sensor communicated with refrigerator and the refrigerator including the sensor |
| CN106288634A (en) * | 2016-08-04 | 2017-01-04 | 海信集团有限公司 | Menu recommends method, device and intelligent refrigerator |
| CN106651533A (en) * | 2016-12-29 | 2017-05-10 | 合肥华凌股份有限公司 | User behavior-based personalized product recommendation method and apparatus |
| CN107886400A (en) * | 2017-11-15 | 2018-04-06 | 维沃移动通信有限公司 | A kind of recipe recommendation method, device and mobile terminal |
| CN109817305A (en) * | 2017-11-22 | 2019-05-28 | 九阳股份有限公司 | A kind of recipe recommendation method and system based on shared kitchen appliance |
| CN109994182A (en) * | 2018-01-02 | 2019-07-09 | 佛山市顺德区美的电热电器制造有限公司 | A kind of recommended method of recipe, device and storage medium |
| CN108769159A (en) * | 2018-05-16 | 2018-11-06 | 北京豆果信息技术有限公司 | A kind of electronic cookbook intelligent recommendation method |
| CN108806770A (en) * | 2018-05-16 | 2018-11-13 | 北京豆果信息技术有限公司 | A kind of diet recommendation method based on user |
| CN109346153A (en) * | 2018-08-31 | 2019-02-15 | 北京唐冠天朗科技开发有限公司 | It is a kind of to digitize system and method for having dinner |
| CN109285597A (en) * | 2018-10-08 | 2019-01-29 | 北京健康有益科技有限公司 | A kind of dietotherapy recipe recommendation method, apparatus and readable medium |
Non-Patent Citations (4)
| Title |
|---|
| SAITO, K; ASADA等: "A Recipe Decision Support System Using Knowledge Information and Agent", ICAROB 2017: PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, pages 112 - 115 * |
| 岳子静;张颖怡;章成志;: "用户饮食偏好挖掘及应用研究", 图书情报知识, no. 03, pages 83 - 92 * |
| 曾金;陆伟;丁恒;陈海华;: "基于图像语义的用户兴趣建模", 数据分析与知识发现, no. 04, pages 80 - 87 * |
| 杨泽丰;王海春;李均: "一种手机端菜谱系统的设计与实现", 数字技术与应用, no. 012, pages 153 - 154 * |
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