CN113395336A - Mode recommendation method and device, electronic equipment and storage medium - Google Patents
Mode recommendation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a mode recommendation method and device, electronic equipment and a storage medium, and belongs to the technical field of household appliances. The method comprises the steps of obtaining attribute information of an object and use information corresponding to a mode set of the object aiming at target equipment, wherein the mode set at least comprises one mode; determining evaluation information corresponding to the attribute information and the use information based on a preset rule; determining a target mode to be recommended from the mode set according to the evaluation information; and sending the recommendation information of the target mode to display equipment to prompt the object to use the target mode. The use frequency of the target mode is improved, and the waste of resources is reduced.
Description
Technical Field
The present application relates to the field of smart home technologies, and in particular, to a mode recommendation method and apparatus, an electronic device, and a storage medium.
Background
Along with the development of science and technology, intelligent household appliances are more and more popular. In order to meet various use requirements of daily life of people, the running modes of intelligent household appliances are more and more. However, in actual use, due to the fact that a user cannot know various operation modes of the household appliance, the frequency of using a part of the operation modes of the household appliance is low, and even the household appliance is idle, so that resource waste is caused.
Disclosure of Invention
An object of the embodiments of the present application is to provide a mode recommendation method, an apparatus, an electronic device, and a storage medium, so as to solve a problem that a part of operation modes of a home appliance is low in use frequency and even is idle, thereby causing waste of resources. The specific technical scheme is as follows:
in a first aspect, a method for recommending a pattern is provided, where the method includes:
acquiring attribute information of an object and use information corresponding to a mode set of the object for target equipment, wherein the mode set at least comprises one mode;
determining evaluation information corresponding to the attribute information and the use information based on a preset rule;
determining a target mode to be recommended from the mode set according to the evaluation information;
and sending the recommendation information of the target mode to display equipment to prompt the object to use the target mode.
In a possible embodiment, the determining, based on a preset rule, evaluation information corresponding to the attribute information and the usage information includes:
and determining evaluation information corresponding to the mode according to the dividing data of the region to which the object belongs, the age data, the number data of the preset devices and the use information of the mode corresponding to the target device in the attribute information.
In one possible embodiment, the determining, for the division data of the region to which the object belongs, the age data, the number data of preset devices, and the usage information of the mode corresponding to the target device in the attribute information, evaluation information corresponding to the mode includes:
determining whether the divided data accord with a preset first target range or not to obtain a first attribute value corresponding to the divided data;
determining whether the age data conforms to a preset second target range or not to obtain a second attribute value corresponding to the age data;
determining whether the quantity data accords with a preset third target range to obtain a third attribute value corresponding to the quantity data;
and determining evaluation information corresponding to the mode based on the first attribute value, the second attribute value, the third attribute value and the use information of the mode corresponding to the equipment.
In one possible embodiment, the preset rule is determined by:
obtaining a plurality of sample information, wherein the sample information comprises sample attribute information of a sample object and sample use information corresponding to a mode set of the sample object for a target device;
for each sample information, inputting the sample attribute information and the sample usage information into a correlation model so that the correlation model outputs a plurality of index information;
determining sample information of which the index information meets a preset first condition and the sample use information meets a preset second condition as target sample information in the plurality of sample information, and taking the sample attribute information corresponding to the target sample information as the target attribute information;
determining the preset rule based on the target attribute information.
In one possible embodiment, the index information includes: support degree, confidence degree and promotion degree, the sample use information comprises: the frequency of use;
the determining that the sample information in which the index information satisfies a preset first condition and the sample usage information satisfies a preset second condition is target sample information includes:
and determining that the support degree is greater than a first threshold, the confidence degree is greater than a second threshold, the promotion degree is greater than a third threshold, and the sample information with the frequency greater than a fourth threshold is used as the target sample information.
In a possible embodiment, before the obtaining of the attribute information of the object and the usage information corresponding to the mode set of the object for the target device, the method further includes:
acquiring a device identifier of a target device;
determining whether the target device has the target mode based on the device identification;
and when the target device has a target mode, executing the step of acquiring the attribute information of the object and the use information corresponding to the mode set of the object for the target device.
In one possible embodiment, the usage information includes: using the frequency, the method further comprising:
and aiming at any mode of the target equipment, when the use frequency of the mode used by the object is less than a preset frequency threshold, sending the recommendation information of the mode to display equipment so as to prompt the object to use the mode.
In a second aspect, there is provided a pattern recommendation apparatus, the apparatus comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring attribute information of an object and use information corresponding to a mode set of the object aiming at a target device, and the mode set at least comprises one mode;
the determining module is used for determining the evaluation information corresponding to the attribute information and the use information based on a preset rule; determining a target mode to be recommended from the mode set according to the evaluation information;
and the sending module is used for sending the recommendation information of the target mode to display equipment so as to prompt the object to use the target mode.
In a possible implementation manner, the determining module is specifically configured to:
and determining evaluation information corresponding to the mode according to the dividing data of the region to which the object belongs, the age data, the number data of the preset devices and the use information of the mode corresponding to the target device in the attribute information.
In a possible implementation manner, the determining module is further specifically configured to:
determining whether the divided data accord with a preset first target range or not to obtain a first attribute value corresponding to the divided data;
determining whether the age data conforms to a preset second target range or not to obtain a second attribute value corresponding to the age data;
determining whether the quantity data accords with a preset third target range to obtain a third attribute value corresponding to the quantity data;
and determining evaluation information corresponding to the mode based on the first attribute value, the second attribute value, the third attribute value and the use information of the mode corresponding to the equipment.
In one possible embodiment, the apparatus further comprises a rule determining module configured to:
obtaining a plurality of sample information, wherein the sample information comprises sample attribute information of a sample object and sample use information corresponding to a mode set of the sample object for a target device;
for each sample information, inputting the sample attribute information and the sample usage information into a correlation model so that the correlation model outputs a plurality of index information;
determining sample information of which the index information meets a preset first condition and the sample use information meets a preset second condition as target sample information in the plurality of sample information, and taking the sample attribute information corresponding to the target sample information as the target attribute information;
determining the preset rule based on the target attribute information.
In one possible embodiment, the index information includes: support degree, confidence degree and promotion degree, the sample use information comprises: the frequency of use;
the rule determination module is further configured to:
and determining that the support degree is greater than a first threshold, the confidence degree is greater than a second threshold, the promotion degree is greater than a third threshold, and the sample information with the frequency greater than a fourth threshold is used as the target sample information.
In one possible embodiment, the apparatus further comprises:
the identification acquisition module is used for acquiring the equipment identification of the target equipment;
a mode determination module to determine whether the target device has the target mode based on the device identification;
and the execution module is used for executing the steps of acquiring the attribute information of the object and the use information corresponding to the mode set of the object aiming at the target equipment when the target equipment has the target mode.
In one possible embodiment, the usage information includes: using a frequency, the transmitting module further configured to:
and the recommendation information of the mode is sent to a display device to prompt the object to use the mode when the use frequency of the mode used by the object is smaller than a preset frequency threshold value aiming at any mode of the target device.
In a third aspect, an electronic device is provided, which includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of the first aspect when executing a program stored in the memory.
In a fourth aspect, a computer-readable storage medium is provided, wherein a computer program is stored in the computer-readable storage medium, and when executed by a processor, the computer program implements the method steps of any of the first aspects.
In a fifth aspect, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the above described pattern recommendation methods.
The embodiment of the application has the following beneficial effects:
the embodiment of the application provides a mode recommendation method, a mode recommendation device, electronic equipment and a storage medium, and the method comprises the steps of firstly, acquiring attribute information of an object and use information corresponding to a mode set of the object for target equipment; then, determining evaluation information corresponding to the attribute information and the use information based on a preset rule; and finally, determining a target mode to be recommended from the mode set according to the evaluation information, and sending recommendation information of the target mode to display equipment to prompt the object to use the target mode.
That is, according to the scheme, the target mode to be recommended can be determined according to the attribute information of the object and the use information of the object for the mode of the target device, and the target mode to be recommended is sent to the display device to be recommended to the object, so that the use frequency of the target mode is improved, and the waste of resources is reduced.
Of course, not all advantages described above need to be achieved at the same time in the practice of any one product or method of the present application.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a flowchart of a mode recommendation method according to an embodiment of the present application;
FIG. 2 is a flowchart of a method for recommending a pattern according to another embodiment of the present application;
fig. 3 is a schematic structural diagram of a mode recommending apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In actual use, the conditions that a user cannot know various operation modes of the household appliance exist, and the like, so that the use frequency of a part of the operation modes of the household appliance is low and even is idle, and the waste of resources is caused. Therefore, the embodiment of the application provides a mode recommendation method which can be applied to intelligent equipment.
A mode recommendation method provided in an embodiment of the present application will be described in detail below with reference to specific embodiments, as shown in fig. 1, the specific steps are as follows:
s101, acquiring attribute information of an object and use information corresponding to a mode set of the object for a target device, wherein the mode set at least comprises one mode.
In the embodiment of the application, the object may be an actual user, or may be a virtual account (e.g., a user account registered in an e-commerce platform); the attribute information refers to some attributes of the object itself (such as the age of the actual user or the characters recorded in the virtual account); the usage information refers to a usage situation (e.g., usage time or number of times, etc.) of a certain pattern in which the object uses the target device. The target device may be a household appliance, a mobile device, a wearable device, or the like, and the target device has at least one mode, for example, an air conditioner has a cooling mode, a heating mode, a dehumidifying mode, or the like.
In this embodiment, the attribute information of the object may be determined by information pre-stored in the target device or the server, or may be determined by receiving information entered by the object, and the user portrait corresponding to the object may be constructed by obtaining the attribute information of the object. The usage information corresponding to the mode set of the target device can be obtained through historical usage data recorded in the target device. By obtaining the usage information of the mode set of the target device, the usage of the object for each mode of the target device can be determined.
And S102, determining evaluation information corresponding to the attribute information and the use information based on a preset rule.
In the embodiment of the present application, the evaluation information is used to evaluate whether each mode is suitable for the use of the object. The preset rule may be determined in advance by the historical user attribute information and the usage information corresponding to the target device mode set by the historical user. And determining evaluation information corresponding to each mode in the mode set by utilizing a preset rule according to the attribute information of the object and the use information of the object on the mode aiming at each mode in the target equipment mode set.
S103, determining a target mode to be recommended from the mode set according to the evaluation information.
In the embodiment of the application, after the evaluation information corresponding to each mode in the mode set is determined, the target mode suitable for the object to use is determined according to the evaluation information corresponding to each mode.
And S104, sending the recommendation information of the target mode to display equipment to prompt the object to use the target mode.
In the embodiment of the present application, the recommendation information may include, but is not limited to, a name, a use introduction, and the like of the target mode. The display device may be the target device itself or an external device (e.g., a mobile phone or a controller of the target device), and if the display device is the target device itself, the recommended information of the target mode is sent to the display end of the target device, and if the display device is the external device, the recommended information of the target mode is sent to the external device, and the external device may display the recommended information in the form of a display screen or sound and light, so as to prompt the object to use the target mode.
In the embodiment of the application, the target mode to be recommended can be determined through the attribute information of the object and the use information of the object for the mode of the target equipment, and the target mode to be recommended is sent to the preset equipment to be recommended to the object, so that the use frequency of the target mode is improved, and the waste of resources is reduced.
In this embodiment of the application, the S102 may include the following steps:
step one, determining evaluation information corresponding to a mode corresponding to the target device according to division data of a region to which the object belongs, age data, number data of preset devices and usage information of the mode corresponding to the target device in the attribute information.
In the embodiment of the present application, the area to which the object belongs may be a home or a unit of the user, the division data may be the number of rooms in the area where the object is located, the age data may refer to the age of the object, and the number data of the preset devices may be the number of home appliances in the area where the object is located. The attribute information may include, but is not limited to, division data of a region to which the object belongs, age data, and number data of the devices, and the user figure corresponding to the object is created for the division data of the region to which the object belongs, the age data, and the number data of the preset devices in the attribute information, and then evaluation information corresponding to the mode is determined based on the user figure and usage information of the mode corresponding to the target device.
In one implementation of the embodiments of the present application, the evaluation information may be determined by:
step one, determining whether the divided data accord with a preset first target range or not to obtain a first attribute value corresponding to the divided data; determining whether the age data conforms to a preset second target range or not to obtain a second attribute value corresponding to the age data; determining whether the quantity data accords with a preset third target range to obtain a third attribute value corresponding to the quantity data; and determining evaluation information corresponding to the mode based on the first attribute value, the second attribute value, the third attribute value and the use information of the mode corresponding to the equipment.
In this embodiment, the first target range, the second target range, and the third target range may be preset, and the evaluation information may be determined by comparing each item of attribute information with each item of target range, that is, determining whether the object is suitable for using the mode. The specific comparison process is as follows: determining whether the divided data accord with a preset first target range or not to obtain a first attribute value corresponding to the divided data; determining whether the age data conforms to a preset second target range to obtain a second attribute value corresponding to the age data; and determining whether the quantity data accords with a preset third target range to obtain a third attribute value corresponding to the quantity data. The usage information of the pattern may be a usage frequency of the object using the pattern.
After the first attribute value, the second attribute value, and the third attribute value are obtained, the evaluation information corresponding to the mode may be determined based on the first attribute value, the second attribute value, the third attribute value, and the usage information of the mode corresponding to the device by using a preset evaluation formula. The evaluation formula is as follows:
evaluation information 0.33 first attribute value +0.33 second attribute value +0.33 third attribute value-frequency of use of the pattern; if the divided data conforms to the preset first target range, the first attribute value is 1, if the divided data conforms to the non-preset first target range, the first attribute value is 0, and the second attribute value and the third attribute value are the same; the coefficient 0.33 may be set according to the number of attribute values, the sum of coefficients corresponding to all attribute values is 1, and preferably, different weights may be set for different attribute values according to the difference in attribute values.
In the embodiment of the application, the user portrait is determined according to the dividing data, the age data and the number data of the preset devices of the area to which the object belongs in the attribute information, and then the evaluation information corresponding to the mode is determined according to the user portrait and the use information of the mode corresponding to the target device, so that the target mode meeting the use of the object can be determined, and the use experience of the object is improved.
In another embodiment of the present application, the creating of the preset rule includes the following steps:
s201, obtaining a plurality of sample information, wherein the sample information comprises sample attribute information of a sample object and sample use information corresponding to a mode set of the sample object for a target device.
In this embodiment of the application, the sample object may be a historical user using the target device, and the sample attribute information may be the number of rooms, the number of home appliances, and the age of the user corresponding to the historical user, or may be some other attributes (e.g., gender, occupation, etc.); the sample use information can be the use frequency, the use time, the use times and the like; the sample information includes sample attribute information of the sample object and sample usage information of the sample object corresponding to one of the modes in the target device.
For all modes of the target device, acquiring attribute information of the historical user and use information of the mode to obtain a table 1 and a table 2, wherein the table 1 is the attribute information, and the table 2 is the use information. For example, the attribute information of table 1 corresponding to the sample object whose user ID is 1 and the usage information of table 2 corresponding thereto are one sample information.
Table 1:
| user ID | Number of home appliances | Number of rooms | Age of the user | ...... |
| 1 | 2 | 2 | 25 |
Table 2:
s202, for each sample information, inputting the sample attribute information and the sample usage information into a correlation model, so that the correlation model outputs a plurality of index information.
In the embodiment of the present application, for each sample information, the sample attribute information and the sample usage information are input into the association model, and the association model may output a plurality of index information, as shown in table 3.
TABLE 3
And S203, determining sample information of which the index information meets a preset first condition and the sample use information meets a preset second condition as target sample information in the plurality of sample information, and taking the sample attribute information corresponding to the target sample information as the target attribute information.
In the embodiment of the application, in the plurality of sample information, the sample information of which the index information meets a preset first condition and the sample use information meets a preset second condition is determined as the target sample information, and the sample attribute information corresponding to the target sample information is taken as the target attribute information.
In an implementation manner of the embodiment of the present application, the step S203 may include the following steps:
step one, determining that the support degree is greater than a first threshold, the confidence degree is greater than a second threshold, the promotion degree is greater than a third threshold, and the sample information with the frequency greater than a fourth threshold is used as target sample information.
In this embodiment, the index information includes a support degree, a confidence degree, and a promotion degree, where the support degree represents a probability that the antecedent and the postamble appear in the sample set at the same time, the confidence degree represents a probability that the postamble appears in the sample set on the premise, the promotion degree represents the confidence degree/the probability that the postamble appears in the sample set, and the sample usage information is a usage frequency. Presetting a threshold, determining that the support degree is greater than a first threshold, the confidence degree is greater than a second threshold, the promotion degree is greater than a third threshold, and the sample information with the frequency greater than a fourth threshold is used as the target sample information.
For example, the first threshold value is 0.01%, the second threshold value is 1%, the third threshold value is 1, and the fourth threshold value is 60%. The sample information corresponding to the sequence number 1 in table 3 may be determined as the target sample information.
S204, determining the preset rule based on the target attribute information.
In the embodiment of the application, the preset rule is a user portrait for reference, and after the target attribute information is determined, the preset rule may be determined based on the target attribute information. For example, if the target attribute information corresponding to the number 1 in table 3 is that the number of rooms of the user is 3, the age of the user is 30, and the number of home appliances is 3, the preset rule is that the number of rooms is 3, the age of the user is 30, and the number of home appliances is 3.
In the embodiment of the application, index information of each group of corresponding sample attribute information and sample use information is obtained by using an association model based on the sample attribute information and the sample use information of a plurality of historical users, target attribute information is determined according to the index information and the sample use information in a plurality of groups of corresponding sample attribute information and sample use information, and a preset rule is determined based on the target attribute information. According to the scheme, the use condition of each mode of the historical user corresponding to each attribute information can be determined, so that the target attribute information suitable for each mode is determined, the preset rule is determined by using the target attribute information, and whether the object is suitable for using a certain mode can be more accurately judged.
In another embodiment of the present application, before S101, the method may further include:
step one, acquiring a device identifier of target equipment;
step two, determining whether the target device has the target mode or not based on the device identification;
and step three, when the target device has a target mode, executing the step of acquiring the attribute information of the object and the use information corresponding to the mode set of the object for the target device.
In the embodiment of the present application, the device identifier may be a code of the device, and is used to determine various device information of the device, such as a device name and information about a function or a mode that the device has. The target mode may be a feature or mode of the target device, such as a feature added after the device iteration. Acquiring the device identification of the target device, determining whether the target device has the target mode based on the device identification, and executing step S101 when the target device has the target mode. According to the scheme, whether some characteristic functions are recommended to the user can be judged, some common functions are prevented from being recommended to the user, the recommendation times are reduced, and the user experience is improved.
In another embodiment of the present application, before the S104, the method may further include the following steps:
step one, determining whether the recommendation information of the target mode is sent to a display device within a preset time period;
and step two, when the recommendation information of the target mode is not sent to the display equipment within the preset time, the step of sending the recommendation information of the target mode to the display equipment is executed.
In the embodiment of the application, whether the recommendation information of the target mode is sent to the display device within the preset time period can be determined through the recommendation information sent in history, if the recommendation information is sent, the recommendation information of the target mode does not need to be sent again, and if the recommendation information of the target mode is not sent, the recommendation information of the target mode is sent to the display device. By the scheme, the recommendation information can be prevented from being sent to the user for multiple times in a short time, and the user experience is improved.
In yet another embodiment of the present application, the method may further comprise the steps of:
step one, aiming at any mode of the target equipment, when the use frequency of the mode used by the object is smaller than a preset frequency threshold value, the recommendation information of the mode is sent to display equipment so as to prompt the object to use the mode.
In the embodiment of the application, for any mode of the target device, when the use frequency of the mode used by the object is smaller than a preset frequency threshold, the recommendation information of the mode is sent to the display device to prompt the object to use the mode. By the scheme, the mode with low use frequency or even unused mode can be recommended to the user, and the use frequency of the mode with low use frequency in the target equipment is improved.
In the embodiment of the application, the target mode to be recommended can be determined through the attribute information of the object and the use information of the object for the mode of the target equipment, and the target mode to be recommended is sent to the preset equipment to be recommended to the object, so that the use frequency of the target mode is improved, and the waste of resources is reduced.
Based on the same technical concept, an embodiment of the present application further provides a pattern recommendation apparatus, as shown in fig. 3, the apparatus includes:
an obtaining module 301, configured to obtain attribute information of an object and usage information corresponding to a mode set of the object for a target device, where the mode set includes at least one mode;
a determining module 302, configured to determine, based on a preset rule, evaluation information corresponding to the attribute information and the usage information; determining a target mode to be recommended from the mode set according to the evaluation information;
a sending module 303, configured to send the recommendation information of the target mode to a display device to prompt the object to use the target mode.
In a possible implementation manner, the determining module is specifically configured to:
and determining evaluation information corresponding to the mode according to the dividing data of the region to which the object belongs, the age data, the number data of the preset devices and the use information of the mode corresponding to the target device in the attribute information.
In a possible implementation manner, the determining module is further specifically configured to:
determining whether the divided data accord with a preset first target range or not to obtain a first attribute value corresponding to the divided data;
determining whether the age data conforms to a preset second target range or not to obtain a second attribute value corresponding to the age data;
determining whether the quantity data accords with a preset third target range to obtain a third attribute value corresponding to the quantity data;
and determining evaluation information corresponding to the mode based on the first attribute value, the second attribute value, the third attribute value and the use information of the mode corresponding to the equipment.
In one possible embodiment, the apparatus further comprises a rule determining module configured to:
obtaining a plurality of sample information, wherein the sample information comprises sample attribute information of a sample object and sample use information corresponding to a mode set of the sample object for a target device;
for each sample information, inputting the sample attribute information and the sample usage information into a correlation model so that the correlation model outputs a plurality of index information;
determining sample information of which the index information meets a preset first condition and the sample use information meets a preset second condition as target sample information in the plurality of sample information, and taking the sample attribute information corresponding to the target sample information as the target attribute information;
determining the preset rule based on the target attribute information.
In one possible embodiment, the index information includes: support degree, confidence degree and promotion degree, the sample use information comprises: the frequency of use;
the rule determination module is further configured to:
and determining that the support degree is greater than a first threshold, the confidence degree is greater than a second threshold, the promotion degree is greater than a third threshold, and the sample information with the frequency greater than a fourth threshold is used as the target sample information.
In one possible embodiment, the apparatus further comprises:
the identification acquisition module is used for acquiring the equipment identification of the target equipment;
a mode determination module to determine whether the target device has the target mode based on the device identification;
and the execution module is used for executing the steps of acquiring the attribute information of the object and the use information corresponding to the mode set of the object aiming at the target equipment when the target equipment has the target mode.
In one possible embodiment, the usage information includes: using a frequency, the transmitting module further configured to:
and the recommendation information of the mode is sent to a display device to prompt the object to use the mode when the use frequency of the mode used by the object is smaller than a preset frequency threshold value aiming at any mode of the target device.
In the embodiment of the application, the target mode to be recommended can be determined through the attribute information of the object and the use information of the object for the mode of the target equipment, and the target mode to be recommended is sent to the preset equipment to be recommended to the object, so that the use frequency of the target mode is improved, and the waste of resources is reduced.
Based on the same technical concept, the embodiment of the present application further provides an electronic device, as shown in fig. 4, including a processor 401, a communication interface 402, a memory 403 and a communication bus 404, where the processor 401, the communication interface 402 and the memory 403 complete mutual communication through the communication bus 404,
a memory 403 for storing a computer program;
the processor 401, when executing the program stored in the memory 403, implements the following steps:
acquiring attribute information of an object and use information corresponding to a mode set of the object for target equipment, wherein the mode set at least comprises one mode;
determining evaluation information corresponding to the attribute information and the use information based on a preset rule;
determining a target mode to be recommended from the mode set according to the evaluation information;
and sending the recommendation information of the target mode to display equipment to prompt the object to use the target mode.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In another embodiment provided by the present application, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any of the above-mentioned pattern recommendation methods.
In yet another embodiment provided by the present application, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform any of the pattern recommendation methods of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or modes according to the embodiments of the present application occur in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, digital object line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for pattern recommendation, the method comprising:
acquiring attribute information of an object and use information corresponding to a mode set of the object for target equipment, wherein the mode set at least comprises one mode;
determining evaluation information corresponding to the attribute information and the use information based on a preset rule;
determining a target mode to be recommended from the mode set according to the evaluation information;
and sending the recommendation information of the target mode to display equipment to prompt the object to use the target mode.
2. The method according to claim 1, wherein the determining evaluation information corresponding to the attribute information and the usage information based on a preset rule comprises:
and determining evaluation information corresponding to the mode according to the dividing data of the region to which the object belongs, the age data, the number data of the preset devices and the use information of the mode corresponding to the target device in the attribute information.
3. The method according to claim 2, wherein the determining evaluation information corresponding to the mode for division data of a region to which the object belongs, age data, number data of preset devices, and usage information of the mode corresponding to the target device in the attribute information includes:
determining whether the divided data accord with a preset first target range or not to obtain a first attribute value corresponding to the divided data;
determining whether the age data conforms to a preset second target range or not to obtain a second attribute value corresponding to the age data;
determining whether the quantity data accords with a preset third target range to obtain a third attribute value corresponding to the quantity data;
and determining evaluation information corresponding to the mode based on the first attribute value, the second attribute value, the third attribute value and the use information of the mode corresponding to the equipment.
4. The method of claim 1, wherein the preset rule is determined by:
obtaining a plurality of sample information, wherein the sample information comprises sample attribute information of a sample object and sample use information corresponding to a mode set of the sample object for a target device;
for each sample information, inputting the sample attribute information and the sample usage information into a correlation model so that the correlation model outputs a plurality of index information;
determining sample information of which the index information meets a preset first condition and the sample use information meets a preset second condition as target sample information in the plurality of sample information, and taking the sample attribute information corresponding to the target sample information as the target attribute information;
determining the preset rule based on the target attribute information.
5. The method of claim 4, wherein the metric information comprises: support degree, confidence degree and promotion degree, the sample use information comprises: the frequency of use;
the determining that the sample information in which the index information satisfies a preset first condition and the sample usage information satisfies a preset second condition is target sample information includes:
and determining that the support degree is greater than a first threshold, the confidence degree is greater than a second threshold, the promotion degree is greater than a third threshold, and the sample information with the frequency greater than a fourth threshold is used as the target sample information.
6. The method according to claim 1, wherein before the obtaining of the attribute information of the object and the usage information corresponding to the mode set of the object for the target device, further comprising:
acquiring a device identifier of a target device;
determining whether the target device has the target mode based on the device identification;
and when the target device has a target mode, executing the step of acquiring the attribute information of the object and the use information corresponding to the mode set of the object for the target device.
7. The method of claim 1, wherein the usage information comprises: using the frequency, the method further comprising:
and aiming at any mode of the target equipment, when the use frequency of the mode used by the object is less than a preset frequency threshold, sending the recommendation information of the mode to display equipment so as to prompt the object to use the mode.
8. A mode recommendation apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring attribute information of an object and use information corresponding to a mode set of the object aiming at target equipment, the mode set at least comprises one mode, and each mode corresponds to the use information;
the determining module is used for determining the evaluation information corresponding to the attribute information and the use information based on a preset rule; determining a target mode to be recommended from the mode set according to the evaluation information;
and the sending module is used for sending the recommendation information of the target mode to display equipment so as to prompt the object to use the target mode.
9. An electronic device, comprising a processor and a memory
A memory for storing a computer program;
a processor for implementing the method steps of any of claims 1 to 7 when executing a program stored in the memory.
10. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 7.
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Application publication date: 20210914 |