CN111506819B - Hardware equipment recommendation method and device, server and storage medium - Google Patents
Hardware equipment recommendation method and device, server and storage medium Download PDFInfo
- Publication number
- CN111506819B CN111506819B CN202010336941.8A CN202010336941A CN111506819B CN 111506819 B CN111506819 B CN 111506819B CN 202010336941 A CN202010336941 A CN 202010336941A CN 111506819 B CN111506819 B CN 111506819B
- Authority
- CN
- China
- Prior art keywords
- hardware
- hardware device
- tag
- determining
- target terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The application provides a hardware equipment recommending method, a hardware equipment recommending device, a server and a storage medium. The method comprises the following steps: acquiring hardware evaluation data of target terminal equipment; determining a label associated with the hardware evaluation data according to the hardware evaluation data; determining product information of a first hardware device associated with the tag based on the tag; and sending the product information to the target terminal equipment. The embodiment of the application provides a hardware equipment recommendation method based on hardware evaluation data of target terminal equipment. Compared with the prior art, the hardware equipment can be efficiently recommended to the user, and the recommended hardware equipment can meet the requirements of the current user, so that the user experience is improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a hardware device recommendation method, a device, a server, and a storage medium.
Background
With the growing popularity of internet technology, users' lifestyles have changed significantly. In the internet era of information, such as full-scale and competitive incentives, how to help users to quickly and accurately select the objects which are interested and required is important. At present, a user can only refer to ranking data of various shopping software for selecting hardware equipment, then inquire related product information by himself, and the user has complex operation and poor experience, and is difficult to buy the hardware equipment which is interested and required by himself.
Disclosure of Invention
The embodiment of the application aims to provide a hardware device recommending method, a hardware device recommending device, a server and a storage medium, so as to solve the problem that a user is difficult to buy a hardware device which is interested in and required by the user.
The invention is realized in the following way:
in a first aspect, an embodiment of the present application provides a hardware device recommendation method, including: acquiring hardware evaluation data of target terminal equipment; determining a label associated with the hardware evaluation data according to the hardware evaluation data; determining product information of a first hardware device associated with the tag based on the tag; and sending the product information to the target terminal equipment.
The embodiment of the application provides a hardware equipment recommendation method based on hardware evaluation data of target terminal equipment. Compared with the prior art, the hardware equipment can be efficiently recommended to the user, and the recommended hardware equipment can meet the requirements of the current user, so that the user experience is improved.
With reference to the foregoing technical solution of the first aspect, in some possible implementation manners, the determining, based on the tag, product information of a first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; acquiring the market share of the first hardware equipment; determining product information of a second hardware device recommended to the target terminal device based on the market share of the first hardware device; wherein the second hardware device is a subset of the first hardware device.
In the embodiment of the application, the recommendation of the product is performed to the user in combination with the market share of the first hardware device. By the method, the recommended hardware equipment meets market requirements, and satisfactory hardware equipment is recommended to users.
With reference to the foregoing technical solution of the first aspect, in some possible implementation manners, the determining, based on the tag, product information of a first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; acquiring the equipment failure rate of the first hardware equipment; determining product information of a second hardware device recommended to the target terminal device based on the device failure rate of the first hardware device; wherein the second hardware device is a subset of the first hardware device.
In the embodiment of the application, the recommendation of the product is performed to the user by combining the equipment failure rate of the first hardware equipment. By the method, the quality of the recommended hardware equipment is higher, and the use experience of the subsequent user is improved.
With reference to the foregoing technical solution provided in the first aspect, in some possible implementation manners, the obtaining hardware evaluation data of the target terminal device includes: obtaining the model of the hardware equipment in the hardware evaluation data of the target terminal equipment; acquiring the price of the hardware equipment of each model based on the model of the hardware equipment; accordingly, the determining, based on the tag, the product information of the first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; determining product information of a second hardware device recommended to the target terminal device based on the price of the hardware device; wherein the second hardware device is a subset of the first hardware device.
In the embodiment of the application, the product recommendation is performed to the user in combination with the price of the hardware equipment of the target terminal equipment. By the method, the recommended hardware equipment can be more in line with the economic condition of the user, and user experience is further improved.
With reference to the foregoing technical solution of the first aspect, in some possible implementation manners, the hardware evaluation data includes a service life of a hardware device of the target terminal device; the determining, based on the tag, product information of a first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; determining product information of a second hardware device recommended to the target terminal device based on the service life of the hardware device of the target terminal device; wherein the second hardware device is a subset of the first hardware device.
In the embodiment of the application, the service life of the hardware equipment of the target terminal equipment is combined, and the recommendation of the product is performed to the user. The recommended hardware equipment can meet the requirements of users more by the mode.
With reference to the foregoing technical solution of the first aspect, in some possible implementation manners, the hardware evaluation data includes an operation condition of a hardware device of the target terminal device; the determining, based on the tag, product information of a first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; determining product information of a second hardware device recommended to the target terminal device based on the operation condition of the hardware device of the target terminal device; wherein the second hardware device is a subset of the first hardware device.
In the embodiment of the application, the recommendation of the product is performed to the user in combination with the operation condition of the hardware equipment of the target terminal equipment. By the method, the recommended product can solve the running problem of the current hardware equipment, and the recommended hardware equipment meets the requirements of users better.
With reference to the foregoing technical solution provided in the first aspect, in some possible implementation manners, the method further includes: obtaining grading data of different users aiming at different hardware devices; accordingly, the determining, based on the tag, the product information of the first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; determining product information of a second hardware device recommended to the target terminal device based on the scoring data; wherein the second hardware device is a subset of the first hardware device.
In the embodiment of the application, the product recommendation is performed to the user by combining the scoring data of the first hardware device. By the method, the hardware equipment with higher satisfaction can be recommended to the user, and then the use experience and satisfaction of the subsequent user using the hardware equipment are improved.
In a second aspect, an embodiment of the present application provides a hardware device recommendation apparatus, including: the acquisition module is used for acquiring hardware evaluation data of the target terminal equipment; the first determining module is used for determining a label associated with the hardware evaluation data according to the hardware evaluation data; the second determining module is used for determining the product information of the first hardware equipment associated with the tag based on the tag; and the sending module is used for sending the product information to the target terminal equipment.
In a third aspect, an embodiment of the present application provides a server, including: the device comprises a processor and a memory, wherein the processor is connected with the memory; the memory is used for storing programs; the processor is configured to invoke a program stored in the memory to perform a method as provided by the embodiments of the first aspect described above and/or in combination with some possible implementations of the embodiments of the first aspect described above.
In a fourth aspect, embodiments of the present application provide a storage medium having stored thereon a computer program which, when executed by a processor, performs a method as provided by the embodiments of the first aspect described above and/or in connection with some possible implementations of the embodiments of the first aspect described above.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a server according to an embodiment of the present application.
Fig. 2 is a flowchart of steps of a hardware device recommendation method according to an embodiment of the present application.
Fig. 3 is a block diagram of a hardware device recommendation apparatus according to an embodiment of the present application.
Icon: 100-server; 110-a processor; 120-memory; 200-hardware equipment recommending means; 201-an acquisition module; 202-a first determination module; 203-a second determination module; 204-a transmitting module.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
At present, a user can only refer to ranking data of various shopping software for selecting hardware equipment, then inquire related product information by himself, and the user has complex operation and poor experience, and is difficult to buy the hardware equipment which is interested and required by himself.
In view of the above problems, the present inventors have studied and studied, and have proposed the following examples to solve the above problems.
Referring to fig. 1, fig. 1 is a schematic block diagram of a server 100 applying a hardware device recommendation method according to an embodiment of the present application. The server 100 may be a web server, a database server, a cloud server, a server integration made up of a plurality of sub-servers, or the like. Structurally, the server 100 may include a processor 110 and a memory 120.
The processor 110 is electrically connected to the memory 120, either directly or indirectly, to enable data transmission or interaction, for example, the elements may be electrically connected to each other via one or more communication buses or signal lines. The hardware device recommendation method means comprises at least one memory 120 which may be stored in the form of software or Firmware (Firmware). The processor 110 is configured to execute executable modules stored in the memory 120, for example, software function modules and computer programs included in the hardware device recommendation apparatus, so as to implement a hardware device recommendation method. The processor 110 may execute the computer program after receiving the execution instructions.
The processor 110 may be an integrated circuit chip with signal processing capability. The processor 110 may also be a general-purpose processor, for example, a central processing unit (Central Processing Unit, CPU), digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), discrete gate or transistor logic, discrete hardware components, and may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present application. Further, the general purpose processor may be a microprocessor or any conventional processor or the like.
The Memory 120 may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), and electrically erasable programmable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM). The memory 120 is used for storing a program, and the processor 110 executes the program after receiving an execution instruction.
It should be understood that the structure shown in fig. 1 is only illustrative, and the server 100 provided in the embodiment of the present application may further have fewer or more components than those shown in fig. 1, or may have a different configuration from that shown in fig. 1. In addition, the components shown in fig. 1 may be implemented by software, hardware, or a combination thereof.
Referring to fig. 2, fig. 2 is a flowchart illustrating a hardware device recommendation method according to an embodiment of the present application, where the method is applied to the server 100 shown in fig. 1. It should be noted that, the hardware device recommendation method provided in the embodiment of the present application is not limited by the order shown in fig. 2 and the following. The method comprises the following steps: step S101 to step S104.
Step S101: and acquiring hardware evaluation data of the target terminal equipment.
Step S102: and determining the label associated with the hardware evaluation data according to the hardware evaluation data.
Step S103: based on the tag, product information of a first hardware device associated with the tag is determined.
Step S104: and sending the product information to target terminal equipment.
The embodiment of the application provides a hardware equipment recommendation method based on hardware evaluation data of target terminal equipment. Compared with the prior art, the hardware equipment can be efficiently recommended to the user, and the recommended hardware equipment can meet the requirements of the current user, so that the user experience is improved.
The above steps are described below in connection with specific examples.
Step S101: and acquiring hardware evaluation data of the target terminal equipment.
The target terminal device is a device currently used by the user, for example, the target terminal device may be a desktop computer, a notebook computer, an integrated machine, etc. currently used by the user. After the user uses the target terminal equipment to conduct hardware evaluation, the server obtains evaluation data of the target terminal. The evaluation data may include a running score of the current target terminal device, a model number of the hardware device in the target terminal device, a service life of the hardware device, and the like. For example, the hardware devices may include a display, a memory, a graphics card, a processor, a motherboard, and a hard disk. Correspondingly, the evaluation data can include the model numbers and service lives of the display, the memory, the display card, the processor, the main board and the hard disk.
Optionally, the evaluation data may further include operation conditions of the hardware device, such as a temperature of the processor, a use condition of the memory, and the like.
Step S102: and determining the label associated with the hardware evaluation data according to the hardware evaluation data.
After the hardware evaluation data is obtained, matching is carried out with the preset label according to the hardware evaluation data. The above-mentioned tag is used for characterizing the identity of a user or the main purpose of the terminal device, and may include, for example: office, video, student, game, etc. Each label corresponds to a different standard. For example, taking running division as an example, the running division range corresponding to the office label is 30000-4000 minutes, the running division range corresponding to the video and audio label is 40000-60000 minutes, the running division range corresponding to the student label is 60000-80000 minutes, and the running division range corresponding to the game label is more than 80000. When the hardware evaluation data of the target terminal device is obtained, the tag associated with the hardware evaluation data can be determined according to the running score of the target terminal device in the hardware evaluation data. For example, if the running score of the target terminal device is 75621, it is determined that the label of the target terminal device is a student label. It should be noted that the running score ranges and the labels corresponding to the running score ranges are only examples, and in the application, the running score ranges and the labels corresponding to the running score ranges may be modified according to the actual requirements. The present application is not limited thereto.
Optionally, the model of the hardware device in the target terminal device may be used as a reference for determining the tag associated with the hardware evaluation data, for example, when the display of the target terminal device is 32 inches and the refresh rate is 120 hz, the target terminal device may be determined to be a game tag or an audio-visual tag.
Step S103: based on the tag, product information of a first hardware device associated with the tag is determined.
After determining the hardware evaluation data of the target terminal device, determining the product information of the first hardware device associated with the tag. The first hardware device may include a display, a memory, a graphics card, a processor, a motherboard, and a hard disk.
It will be appreciated that, since the tag is determined according to the evaluation data of the target terminal device of the user, the user's requirement can be learned according to the determined tag data, for example, when the tag of the user is a game, product information of the first hardware device associated with the game, such as a game processor determining the current mainstream, a display with a high refresh rate, etc., is determined. And if the label of the user is office, determining the product information of the first hardware device associated with the office, such as determining the current stable office processor and the like.
Step S104: and sending the product information to target terminal equipment.
And after determining the product information of the first hardware device associated with the tag, sending the product information of the first hardware device associated with the tag to the target terminal device. The product information may be displayed on a display of the user in a popup window form. The method can also be in a mode of pushing advertisements by software, and the advertisements are displayed on an advertisement interface of hardware evaluation software.
In order to improve user experience, enable the recommended hardware equipment to better meet the requirements of users and enable the users to be satisfied, in the embodiment of the application, the following six more accurate hardware equipment recommendation methods are further provided.
First, recommendations are made to the user in conjunction with the market share of the first hardware device. Specifically, step S103 includes, based on the tag, determining product information of the first hardware device associated with the tag, where the product information includes: determining a first hardware device associated with the tag based on the tag; acquiring the market share of the first hardware equipment; and determining the product information of the second hardware device recommended to the target terminal device based on the market share of the first hardware device.
The market share of the first hardware device is the proportion of the use amount (or sales amount) of a certain product (or class) in the same product (or class) in the market. For example, the processor of model a has a usage of 1000, and the processor of the same class has a usage of 10000, so that the market share of the processor of model a is 10%.
Optionally, based on the market share of the first hardware device, determining the product information of the second hardware device recommended to the target terminal device may be determining the product information of the second hardware device recommended to the target terminal device according to the order of the market share of the first hardware device from high to low. For example, it is determined that the second hardware device recommended to the target terminal device may be the first three hardware devices of the market share. Accordingly, when the product information is sent to the target terminal device, the product information of the second hardware device recommended to the target terminal device can be sequentially sent to the target terminal device according to the order of the market share from high to low.
The second hardware device is a subset of the first hardware device (for avoiding redundancy, the description is not repeated below).
Illustratively, after determining that the first hardware device associated with the tag includes an A processor, a B processor, and a C processor, market share of the three is obtained. Assuming that the market share of the processor a is 15%, the market share of the processor B is 18%, and the market share of the processor C is 2%, the product information of the processor recommended to the target terminal device is determined according to the order of the market share of the processors from high to low. For example, it is determined that the processor recommended to the target terminal device is the a processor, or it is determined that the processor recommended to the target terminal device is the a processor and the B processor.
Alternatively, based on the market share of the first hardware device, determining the product information of the second hardware device recommended to the target terminal device may be acquiring the first hardware device whose market share exceeds the preset threshold, and determining the first hardware device as the product information of the second hardware device recommended to the target terminal device.
The preset threshold may be 10% or 15%. The method includes the steps of obtaining market share of a first hardware device associated with a tag after determining that the first hardware device comprises an A display card, a B display card and a C display card. Assuming that the market share of the A display card is 20%, the market share of the B display card is 18%, the market share of the C display card is 2%, and the preset threshold is 15%, determining that the second hardware equipment recommended to the target terminal equipment is the A display card and the B display card.
In the embodiment of the application, the recommendation of the product is performed to the user in combination with the market share of the first hardware device. By the method, the recommended hardware equipment meets market requirements, and satisfactory hardware equipment is recommended to users.
And secondly, recommending the equipment failure rate of the first hardware equipment to the user. Specifically, step S103 includes, based on the tag, determining product information of the first hardware device associated with the tag, where the product information includes: determining a first hardware device associated with the tag based on the tag; acquiring the equipment failure rate of the first hardware equipment; and determining the product information of the second hardware equipment recommended to the target terminal equipment based on the equipment failure rate of the first hardware equipment.
The equipment failure rate of the first hardware equipment is the proportion of the failure times of a certain product (or class) in the failure times of the like products (or classes) in the market. For example, if the number of failures of the processor of model a is 100 and the number of failures of the same class of processors is 10000, the device failure rate of the processor of model a is 1%.
Optionally, based on the device failure rate of the first hardware device, determining the product information of the second hardware device recommended to the target terminal device may be determining the product information of the second hardware device recommended to the target terminal device according to the order of the device failure rate of the first hardware device from low to high. For example, it is determined that the second hardware device recommended to the target terminal device may be the hardware device with the lowest device failure rate. Correspondingly, when the product information is sent to the target terminal equipment, the product information with the lowest determined equipment failure rate can be sent to the target terminal equipment. It is understood that the second hardware device is a subset of the first hardware device.
Illustratively, after determining that the first hardware device associated with the tag includes an a-processor, a B-processor, and a C-processor, device failure rates of the three are obtained. Assuming that the equipment failure rate of the processor a is 2%, the equipment failure rate of the processor B is 5%, and the equipment failure rate of the processor C is 7%, product information of the processor recommended to the target terminal device is determined according to the order of the market share of the processors from low to high. For example, it is determined that the processor recommended to the target terminal device is the a processor, or it is determined that the processor recommended to the target terminal device is the a processor and the B processor.
Optionally, based on the device failure rate of the first hardware device, determining the product information of the second hardware device recommended to the target terminal device may be acquiring the first hardware device with the device failure rate lower than the preset threshold, and determining the first hardware device as the product information of the second hardware device recommended to the target terminal device.
The preset threshold may be 4% or 5%. The method includes the steps that after a first hardware device associated with a tag is determined to comprise an A display card, a B display card and a C display card, device failure rates of the first hardware device, the B display card and the C display card are obtained. Assuming that the equipment failure rate of the A display card is 2%, the equipment failure rate of the B display card is 1%, the equipment failure rate of the C display card is 8%, and the preset threshold value is 4%, determining that the second hardware equipment recommended to the target terminal equipment is the A display card and the B display card.
In the embodiment of the application, the recommendation of the product is performed to the user by combining the equipment failure rate of the first hardware equipment. By the method, the quality of the recommended hardware equipment is higher, and the use experience of the subsequent user is improved.
Thirdly, recommending the price of the hardware equipment of the target terminal equipment to the user. Specifically, step S101 obtains hardware evaluation data of the target terminal device, including: obtaining the model of the hardware equipment in the hardware evaluation data of the target terminal equipment; based on the model of the hardware device, the price of the hardware device of each model is obtained. Accordingly, step S103, based on the tag, determines product information of the first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; and determining the product information of the second hardware equipment recommended to the target terminal equipment based on the price of the hardware equipment.
The price of each type of hardware equipment is stored in the database in advance, and after the price of each type of hardware equipment of the target terminal equipment is obtained, product information of a second hardware equipment recommended to the target terminal equipment is determined based on the price of the hardware equipment.
In one mode, based on the price of the hardware device, determining the product information of the second hardware device recommended to the target terminal device may be obtaining the price of the current hardware device of the target terminal, and determining the second hardware device with better performance within the preset price range. For example, the current processor of the target terminal has a price of 900 yuan, and the preset range is 100 yuan, and the hardware device with the highest running score in the processors within 800-1000 yuan is determined as the hardware device. For example, upon determining that the first hardware device associated with the tag includes an A processor, a B processor, and a C processor. Acquiring prices and running scores of the processor A, the processor B and the processor C, and assuming that the price of the processor A is 1500 yuan, running score 98561; the price of the processor B is 990 yuan, run score 78561; the price of the C processor is 820 yuan, run out 68561. Since the price of the B processor is within 800-1000 yuan and the running score is the highest, the B processor is determined as the second hardware device recommended to the target terminal device.
It will be appreciated that in other embodiments, the product information of the second hardware device recommended to the target terminal device may also be determined based on the price of the first hardware device. For example, when the tag is a student, the user of the tag type is generally on mind about price comparison, so that the first hardware device with low price can be used as the determined second hardware device recommended to the target terminal device. For example, when the tag is a game, the user of the tag type generally has a high performance and quality requirement, so that the first hardware device with high price can be used as the determined second hardware device recommended to the target terminal device. The present application is not limited thereto.
In the embodiment of the application, the product recommendation is performed to the user in combination with the price of the hardware equipment of the target terminal equipment. By the method, the recommended hardware equipment can be more in line with the economic condition of the user, and user experience is further improved.
Fourth, recommendation is made to the user in combination with the service life of the hardware device of the target terminal device. Specifically, step S103 includes, based on the tag, determining product information of the first hardware device associated with the tag, where the product information includes: determining a first hardware device associated with the tag based on the tag; and determining the product information of the second hardware equipment recommended to the target terminal equipment based on the service life of the hardware equipment of the target terminal equipment.
When the service life of the hardware device of the target terminal device is taken as the determination of the second hardware device, the preset life time can be taken as a reference, for example, the preset life time is 5 years. It can be understood that the preset age can be used as a reference for the aging degree of the device, when the service life of the hardware device of the target terminal device exceeds 5 years, it is indicated that the aging degree of the current hardware device is higher, and at this time, the determined second hardware device recommended to the target terminal device is the latest hardware device. For example, after determining that the first hardware device associated with the tag includes an a processor, a B processor, and a C processor, the production time of the three is obtained. Assume that the production time of the a processor is 2020, the production time of the B processor is 2019, and the production time of the C processor is 2018. When the service life of the processor of the target terminal device is 6 years and exceeds the preset life by 5 years, the processor A is used as a second hardware device recommended to the target terminal device.
In the embodiment of the application, the service life of the hardware equipment of the target terminal equipment is combined, and the recommendation of the product is performed to the user. The recommended hardware equipment can meet the requirements of users more by the mode.
Fifthly, recommending to the user by combining the operation condition of the hardware equipment of the target terminal equipment. Specifically, step S103 includes, based on the tag, determining product information of the first hardware device associated with the tag, where the product information includes: determining a first hardware device associated with the tag based on the tag; and determining the product information of the second hardware equipment recommended to the target terminal equipment based on the operation condition of the hardware equipment of the target terminal equipment.
The operation condition of the hardware device of the target terminal device may include the temperature of the processor, the use condition of the memory, and the like.
Accordingly, determining the product information of the second hardware device recommended to the target terminal device based on the operation condition of the hardware device of the target terminal device may be determining the product information of the second hardware device recommended to the target terminal device based on the temperature of the processor. Wherein, the determining of the second hardware device based on the temperature of the processor may be with a preset temperature as a reference, such as the preset temperature being 80 degrees. When the temperature of the processor exceeds 80 degrees, the current processor is over loaded, the current user processor can not meet the use requirement of the user any more, and at this time, the processor with more excellent performance (such as a processor with high running score) is taken as a second hardware device recommended to the target terminal device in the first hardware device.
Correspondingly, based on the operation condition of the hardware equipment of the target terminal equipment, determining the product information of the second hardware equipment recommended to the target terminal equipment can be based on the use condition of the memory, and determining the product information of the second hardware equipment recommended to the target terminal equipment. The determining of the second hardware device based on the use condition of the memory may be based on a preset threshold value as a reference. For example, when the preset threshold is 80%, and the memory usage exceeds 80%, it indicates that the memory occupies more memory at this time, which may cause the device to run slowly, and at this time, in the first hardware device, the memory with larger memory capacity is used as the second hardware device recommended to the target terminal device.
In the embodiment of the application, the recommendation of the product is performed to the user in combination with the operation condition of the hardware equipment of the target terminal equipment. By the method, the recommended product can solve the running problem of the current hardware equipment, and the recommended hardware equipment meets the requirements of users better.
Sixth, recommendation is made to the user in combination with the scoring data of the user for the different hardware devices. Specifically, the method further comprises the step of obtaining grading data of different users aiming at different hardware devices. Accordingly, step S103, based on the tag, determines product information of the first hardware device associated with the tag includes: determining a first hardware device associated with the tag based on the tag; and determining the product information of the second hardware equipment recommended to the target terminal equipment based on the grading data.
It can be appreciated that the scoring data of different users for different hardware devices can be obtained by sending questionnaires to the terminal devices of different users. The scoring data of the user for different hardware devices can be used as a reference of satisfaction degree of the user for the different hardware devices, and the higher the scoring, the better the experience of the user using a certain hardware device is, the higher the satisfaction degree is, therefore, after product information of a first hardware device associated with a label is determined, product information of a second hardware device recommended to a target terminal device is determined based on the scoring data.
For example, after determining that the first hardware device associated with the tag includes an a display, a B display, and a C display, score data of the three are obtained, for example, score data of the a display is 9 points, score data of the B display is 7 points, and score data of the C display is 3 points. The a display may be considered as the second hardware device recommended to the target terminal device.
In the embodiment of the application, the product recommendation is performed to the user by combining the scoring data of the first hardware device. By the method, the hardware equipment with higher satisfaction can be recommended to the user, and then the use experience and satisfaction of the subsequent user using the hardware equipment are improved.
Referring to fig. 3, based on the same inventive concept, the embodiment of the present application further provides a hardware device recommendation apparatus 200, including: the device comprises an acquisition module 201, a first determination module 202, a second determination module 203 and a sending module 204.
And the acquisition module 201 is used for acquiring the hardware evaluation data of the target terminal equipment.
A first determining module 202, configured to determine, according to the hardware evaluation data, a tag associated with the hardware evaluation data.
And the second determining module 203 is configured to determine, based on the tag, product information of the first hardware device associated with the tag.
And a sending module 204, configured to send the product information to the target terminal device.
Optionally, the second determining module 203 is specifically configured to determine, based on the tag, a first hardware device associated with the tag; acquiring the market share of the first hardware equipment; determining product information of a second hardware device recommended to the target terminal device based on the market share of the first hardware device; wherein the second hardware device is a subset of the first hardware device.
Optionally, the second determining module 203 is specifically configured to determine, based on the tag, a first hardware device associated with the tag; acquiring the equipment failure rate of the first hardware equipment; determining product information of a second hardware device recommended to the target terminal device based on the device failure rate of the first hardware device; wherein the second hardware device is a subset of the first hardware device.
Optionally, the obtaining module 201 is further configured to obtain a model of a hardware device in the hardware evaluation data of the target terminal device; and acquiring the price of the hardware equipment of each model based on the model of the hardware equipment. Correspondingly, the second determining module 203 is specifically configured to determine, based on the tag, a first hardware device associated with the tag; determining product information of a second hardware device recommended to the target terminal device based on the price of the hardware device; wherein the second hardware device is a subset of the first hardware device.
Optionally, the second determining module 203 is specifically configured to determine, based on the tag, a first hardware device associated with the tag; determining product information of a second hardware device recommended to the target terminal device based on the service life of the hardware device of the target terminal device; wherein the second hardware device is a subset of the first hardware device.
Optionally, the second determining module 203 is specifically configured to determine, based on the tag, a first hardware device associated with the tag; determining product information of a second hardware device recommended to the target terminal device based on the operation condition of the hardware device of the target terminal device; wherein the second hardware device is a subset of the first hardware device.
Optionally, the obtaining module 201 is further configured to obtain scoring data of different users for different hardware devices. Correspondingly, the second determining module 203 is specifically configured to determine, based on the tag, a first hardware device associated with the tag; determining product information of a second hardware device recommended to the target terminal device based on the scoring data; wherein the second hardware device is a subset of the first hardware device.
It should be understood that the hardware device recommendation apparatus 200 may be a plug-in unit in the hardware evaluation software, may be installed in a server, or may be stored in the memory 120 in the form of at least one software or Firmware (Firmware). The present application is not limited thereto.
It should be noted that, since it will be clearly understood by those skilled in the art, for convenience and brevity of description, the specific working processes of the systems, apparatuses and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein.
Based on the same inventive concept, the present application also provides a storage medium having stored thereon a computer program which, when executed, performs the method provided in the above embodiments.
The storage media may be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that contains an integration of one or more 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)), etc.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
Further, the units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Furthermore, functional modules in various embodiments of the present application may be integrated together to form a single portion, or each module may exist alone, or two or more modules may be integrated to form a single portion.
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.
The foregoing is merely exemplary embodiments of the present application and is not intended to limit the scope of the present application, and various modifications and variations may be suggested to one skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims (9)
1. A hardware device recommendation method, comprising:
acquiring hardware evaluation data of target terminal equipment;
determining a label associated with the hardware evaluation data according to the hardware evaluation data;
determining product information of a first hardware device associated with the tag based on the tag;
Transmitting the product information to the target terminal device;
the obtaining the hardware evaluation data of the target terminal device includes:
obtaining the model of the hardware equipment in the hardware evaluation data of the target terminal equipment;
acquiring the price of the hardware equipment of each model based on the model of the hardware equipment;
accordingly, the determining, based on the tag, the product information of the first hardware device associated with the tag includes:
determining a first hardware device associated with the tag based on the tag;
determining product information of a second hardware device recommended to the target terminal device based on the price of the hardware device; the second hardware devices are subsets of the first hardware devices, and the second hardware devices are hardware devices which are in a preset price range in the first hardware devices and have optimal performance.
2. The hardware device recommendation method of claim 1, wherein the determining product information of the first hardware device associated with the tag based on the tag comprises:
determining a first hardware device associated with the tag based on the tag;
Acquiring the market share of the first hardware equipment;
determining product information of a second hardware device recommended to the target terminal device based on the market share of the first hardware device; wherein the second hardware device is a subset of the first hardware device.
3. The hardware device recommendation method of claim 1, wherein the determining product information of the first hardware device associated with the tag based on the tag comprises:
determining a first hardware device associated with the tag based on the tag;
acquiring the equipment failure rate of the first hardware equipment;
determining product information of a second hardware device recommended to the target terminal device based on the device failure rate of the first hardware device; wherein the second hardware device is a subset of the first hardware device.
4. The hardware device recommendation method according to claim 1, wherein the hardware evaluation data includes a service life of a hardware device of the target terminal device; the determining, based on the tag, product information of a first hardware device associated with the tag includes:
Determining a first hardware device associated with the tag based on the tag;
determining product information of a second hardware device recommended to the target terminal device based on the service life of the hardware device of the target terminal device; wherein the second hardware device is a subset of the first hardware device.
5. The hardware device recommendation method according to claim 1, wherein the hardware evaluation data includes an operation condition of a hardware device of the target terminal device; the determining, based on the tag, product information of a first hardware device associated with the tag includes:
determining a first hardware device associated with the tag based on the tag;
determining product information of a second hardware device recommended to the target terminal device based on the operation condition of the hardware device of the target terminal device; wherein the second hardware device is a subset of the first hardware device.
6. The hardware device recommendation method of claim 1, further comprising:
obtaining grading data of different users aiming at different hardware devices;
Accordingly, the determining, based on the tag, the product information of the first hardware device associated with the tag includes:
determining a first hardware device associated with the tag based on the tag;
determining product information of a second hardware device recommended to the target terminal device based on the scoring data; wherein the second hardware device is a subset of the first hardware device.
7. A hardware device recommendation apparatus, comprising:
the acquisition module is used for acquiring hardware evaluation data of the target terminal equipment;
the first determining module is used for determining a label associated with the hardware evaluation data according to the hardware evaluation data;
the second determining module is used for determining the product information of the first hardware equipment associated with the tag based on the tag;
a sending module, configured to send the product information to the target terminal device;
the acquisition module is also used for acquiring the model of the hardware equipment in the hardware evaluation data of the target terminal equipment; acquiring the price of the hardware equipment of each model based on the model of the hardware equipment; the second determining module is specifically configured to determine, based on the tag, a first hardware device associated with the tag; determining product information of a second hardware device recommended to the target terminal device based on the price of the hardware device; the second hardware devices are subsets of the first hardware devices, and the second hardware devices are hardware devices which are in a preset price range in the first hardware devices and have optimal performance.
8. A server, comprising: the device comprises a processor and a memory, wherein the processor is connected with the memory;
the memory is used for storing programs;
the processor being configured to execute a program stored in the memory for performing the method of any one of claims 1-6.
9. A storage medium having stored thereon a computer program which, when run by a computer, performs the method of any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010336941.8A CN111506819B (en) | 2020-04-24 | 2020-04-24 | Hardware equipment recommendation method and device, server and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010336941.8A CN111506819B (en) | 2020-04-24 | 2020-04-24 | Hardware equipment recommendation method and device, server and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111506819A CN111506819A (en) | 2020-08-07 |
| CN111506819B true CN111506819B (en) | 2023-05-16 |
Family
ID=71864946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010336941.8A Active CN111506819B (en) | 2020-04-24 | 2020-04-24 | Hardware equipment recommendation method and device, server and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111506819B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008204232A (en) * | 2007-02-21 | 2008-09-04 | Fujitsu Ltd | Personal computer model selection system |
| CN104517223A (en) * | 2014-12-15 | 2015-04-15 | 小米科技有限责任公司 | Commodity information recommending method and device |
| CN107767228A (en) * | 2017-10-31 | 2018-03-06 | 广东欧珀移动通信有限公司 | Using recommendation method, apparatus, terminal device and storage medium |
Family Cites Families (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383980A (en) * | 2008-10-23 | 2009-03-11 | 四川长虹电器股份有限公司 | Method for sending remote control command by electronic terminal product |
| CN102368225B (en) * | 2011-06-29 | 2014-03-26 | 奇智软件（北京）有限公司 | Hardware-detection based upgrade recommendation method and device |
| CN103823729B (en) * | 2011-06-29 | 2017-10-31 | 北京奇虎科技有限公司 | A kind of upgrading suggesting method and device based on hardware detection |
| CN102497229B (en) * | 2011-12-13 | 2014-12-10 | 武汉烽火网络有限责任公司 | Performance testing system and method for passive optical network (PON) card hardware |
| CN102810077B (en) * | 2012-06-29 | 2015-02-11 | 北京奇虎科技有限公司 | Abnormal hardware detecting method and device |
| CN103577658B (en) * | 2012-07-18 | 2017-12-26 | 腾讯科技（深圳）有限公司 | The appraisal procedure and assessment system of intelligent terminal hardware |
| CN104268069B (en) * | 2014-09-24 | 2017-05-03 | 杭州顺网科技股份有限公司 | Computer performance assessment method |
| CN105989509A (en) * | 2015-02-03 | 2016-10-05 | 中国移动通信集团陕西有限公司 | Service recommendation method for intelligent terminal and device |
| CN104809635A (en) * | 2015-05-13 | 2015-07-29 | 苏州市千尺浪信息技术服务有限公司 | Dynamic internet comment analysis method |
| EP3345349A4 (en) * | 2015-09-05 | 2019-08-14 | Nudata Security Inc. | Systems and methods for detecting and scoring anomalies |
| CN205318371U (en) * | 2015-11-24 | 2016-06-15 | 湖北大学 | Hardware test equipment towards ampere tall and erect system |
| CN105391832A (en) * | 2015-11-24 | 2016-03-09 | 湖北大学 | Hardware information detection system used for detecting hardware state of smartphone |
| CN106970949A (en) * | 2017-03-03 | 2017-07-21 | 阿里巴巴集团控股有限公司 | A kind of information recommendation method and device |
| CN206948436U (en) * | 2017-06-29 | 2018-01-30 | 山西凯特通讯有限责任公司 | A kind of mobile phone hardware detection means |
| CN110020167B (en) * | 2017-12-22 | 2022-01-07 | Oppo广东移动通信有限公司 | User gender identification method and device, storage medium and electronic equipment |
| CN108242016B (en) * | 2018-01-25 | 2022-01-25 | 创新先进技术有限公司 | Product recommendation method and device |
| CN109062741A (en) * | 2018-07-03 | 2018-12-21 | 南京百敖软件有限公司 | A kind of detection determination method of computer hardware configuration |
| CN109102371A (en) * | 2018-08-22 | 2018-12-28 | 平安科技（深圳）有限公司 | Method of Commodity Recommendation, device, computer equipment and storage medium |
| CN109146741A (en) * | 2018-09-07 | 2019-01-04 | 广东电网有限责任公司 | A kind of course method for pushing, device and equipment based on capability comparison |
| CN109783730A (en) * | 2019-01-03 | 2019-05-21 | 深圳壹账通智能科技有限公司 | Products Show method, apparatus, computer equipment and storage medium |
| CN110096396B (en) * | 2019-03-18 | 2023-05-23 | 北京奇艺世纪科技有限公司 | Control method for packet test, distributed application system and storage medium |
| CN110335157A (en) * | 2019-03-18 | 2019-10-15 | 中国人民财产保险股份有限公司 | Insurance products recommended method, equipment and storage medium |
| CN210038765U (en) * | 2019-07-08 | 2020-02-07 | 杜娟 | All-round temperature-detecting equipment of computer hardware |
-
2020
- 2020-04-24 CN CN202010336941.8A patent/CN111506819B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008204232A (en) * | 2007-02-21 | 2008-09-04 | Fujitsu Ltd | Personal computer model selection system |
| CN104517223A (en) * | 2014-12-15 | 2015-04-15 | 小米科技有限责任公司 | Commodity information recommending method and device |
| CN107767228A (en) * | 2017-10-31 | 2018-03-06 | 广东欧珀移动通信有限公司 | Using recommendation method, apparatus, terminal device and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| A web-based IT Asset Management application using Fuzzy Logic in vendor selection process;Valencia Clarissa Wijaya;《2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)》;全文 * |
| 基于分布式数据挖掘的电子商务推荐系统;余小高;;计算机系统应用(第11期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111506819A (en) | 2020-08-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108540826B (en) | Bullet screen pushing method and device, electronic equipment and storage medium | |
| US20200334676A1 (en) | Information recommendation method and apparatus, and medium | |
| CN107426328B (en) | Information pushing method and device | |
| US20090222304A1 (en) | Method and Apparatus for Social Network Marketing with Advocate Referral | |
| US10902458B2 (en) | System for providing a robust marketing optimization algorithm and method therefor | |
| JP5094956B2 (en) | Advertisement distribution server and advertisement distribution method | |
| CN109299356B (en) | Activity recommendation method and device based on big data, electronic equipment and storage medium | |
| CN110992092B (en) | Advertisement delivery detection method and device, electronic equipment and storage medium | |
| US9628835B2 (en) | Method and system for assessing viewing quality of media objects | |
| US9947019B2 (en) | Method and system for contextual profiling for object interactions and its application to matching symmetrical objects | |
| CN113312512B (en) | Training method, recommending device, electronic equipment and storage medium | |
| CN111292109A (en) | Method, system, device and storage medium for determining price interval of product | |
| CN109961308B (en) | Method and apparatus for evaluating tag data | |
| CN111506819B (en) | Hardware equipment recommendation method and device, server and storage medium | |
| CN110827104A (en) | Method and device for recommending commodities to user | |
| US20170364946A1 (en) | Determination device, determination method, and non-transitory computer readable storage medium | |
| US11676180B1 (en) | AI-based campaign and creative target segment recommendation on shared and personal devices | |
| CN114513686B (en) | Video information determining method, device and storage medium | |
| US20130117071A1 (en) | Techniques for providing perceived quality metric analysis | |
| CN112532406B (en) | Data processing method and device for contrast experiment, computer equipment and storage medium | |
| US10713094B1 (en) | Allocating computing resources in an online system | |
| CN112905904A (en) | Recommendation method, recommendation device, server and storage medium | |
| US20140214555A1 (en) | Externalities in an auction | |
| US20230105780A1 (en) | User-experience based promotional strategy | |
| CN111625162B (en) | Information list generation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |