TWI609315B - Application recommendation method and electronic device using the same - Google Patents

Description

Application recommendation method and electronic device using the same

The present invention relates to an application recommendation method, and more particularly to an application recommendation method for an electronic device.

With the advancement of technology, electronic devices such as smart phones, tablet computers, notebook computers, and the like in modern life have become popular, and users can conveniently install corresponding applications in these electronic devices in accordance with the functions required by the users. In order to find the required application, the application market can be provided on the server side, and the application can be recommended to the user according to the number of user downloads and feedback evaluation. How to design an application recommendation method that is useful to the user and the electronic device used by the user is one of the current topics in the industry.

The object of the present invention is to provide an application recommendation method, which can Applied to an electronic device, this method has the advantage of recommending an application considering the hardware state of the electronic device.

According to a first aspect of the present invention, an application recommendation method is provided for an electronic device. The electronic device includes a hardware device and a user interface. The application recommendation method includes the following steps: acquiring hardware information related to the hardware device. And determining whether the hardware information meets the preset condition, selecting a software category corresponding to the hardware information, and displaying at least one application related to the hardware device in the software category on the user interface.

According to a second aspect of the present invention, an electronic device is proposed for recommending an application, the electronic device comprising a hardware device, a user interface, a program memory, and a processor. Program memory is used to store a set of computer executable instructions. The processor is configured to access the set of computer executable instructions to perform the following steps: obtaining hardware information related to the hardware device, determining whether the hardware information meets the preset condition, selecting a software category corresponding to the hardware information, and displaying the software At least one application related to the hardware device in the category is on the user interface.

In order to better understand the above and other aspects of the present invention, the preferred embodiments are described below, and in conjunction with the drawings, the detailed description is as follows:

2‧‧‧Electronic devices

20‧‧‧ hardware devices

22‧‧‧User interface

24‧‧‧Program memory

26‧‧‧ Processor

S100‧‧‧Get hardware information about hardware devices

S102‧‧‧Determining whether the hardware information meets the preset conditions

S104‧‧‧Select the software category corresponding to hardware information

S106‧‧‧ Displaying at least one application related to the hardware device in the software category on the user interface

S112‧‧‧Select one of the specific user groups from multiple user groups based on the acquired hardware information

S114‧‧‧ shows at least one application related to a specific user group on the user interface

S300‧‧‧Monitor hardware devices for status

S302‧‧‧Determining whether the preconditions are met

S304‧‧‧Add scores in the corresponding category

S310‧‧‧Scoring System

S312‧‧‧Specify specific categories

S314‧‧‧Notify user interface agent

S316‧‧‧ shows applications related to hardware devices

S320‧‧‧User Configuration

S322‧‧‧ User grouping

S324‧‧‧Can users be classified?

S326‧‧‧ shows applications related to user communities

FIG. 1 is a flow chart showing an application recommendation method according to an embodiment of the invention.

FIG. 2 is a schematic diagram of an electronic device according to an embodiment of the invention.

FIG. 3 is a flow chart showing an application recommendation method according to an embodiment of the invention.

FIG. 4 is a flow chart showing an application recommendation method according to an embodiment of the invention.

In the prior art, whether it is a smart phone, a tablet computer, or a notebook computer, the application marketplace can recommend the user application according to the number of downloads and the scoring mechanism of the user, but the user still has to passively search. It has not been able to actively recommend the user's preferences or needs, nor has it recommended the corresponding application in accordance with the hardware features of the machine used by the user. For example, for a notebook computer with a touch screen, the user may select a software that does not emphasize the touch function according to his old habits or the application market rating mechanism, and the user may not be able to fully utilize the touch. The advantages of the screen. The application recommendation method proposed by the present disclosure can be recommended for an electronic device used by a user to provide a hardware-compatible application.

The system architecture described below includes a server end and a user end. The server side is, for example, a service provider that provides an application market, and is responsible for managing application resources suitable for a specific operating system. The application resource can be selected by a user to give a screening condition or a rating mechanism established by the server itself. Part of the content is downloaded to the user's electronic device for the user to operate use. The user terminal is, for example, an electronic device including a smart phone, a tablet computer, a notebook computer, etc., and may include a user interface, for example, by displaying a graphical interface through a screen, the user interface may display a recommended application presentation. To the user.

The application recommendation method according to the present disclosure can be used for the electronic device of the user end, and the recommended application is determined by acquiring relevant information of the hardware of the electronic device. For example, the state of the hardware can be monitored and collected. When the hardware state meets the set condition, a predetermined score is added to the software category related to the hardware, which can be in a specific field on the user interface. , showing the recommended user to meet the hardware features of this electronic device.

1 is a flow chart of an application recommendation method according to an embodiment of the present invention. The application recommendation method can be applied to an electronic device. The electronic device includes a hardware device and a user interface. The application recommendation method includes the following steps. . First, step S100 is executed to acquire hardware information related to the hardware device. Next, proceeding to step S102, it is determined whether the hardware information meets the preset condition. Thereafter, the process proceeds to step S104, and the software category corresponding to the hardware information is selected. Then, in step S106, at least one application related to the hardware device in the software category is displayed on the user interface.

In an embodiment, the acquiring hardware information in step S100 may be obtained by periodically or irregularly monitoring the usage status of the hardware device, collecting and recording the dynamic data, or by recording the hardware device. Identification code, product specifications, product features to obtain static data related to hardware devices. There may be a scoring system inside the electronic device to give an application for different software categories. Same score. When it is determined in step S102 that the hardware information acquired in step S100 meets a preset condition (for example, a hardware-related specification or a hardware usage state threshold), the score may be increased in the corresponding software category to make the related software category related. The score is higher than the other categories. In step S104, the software category corresponding to the hardware information can be selected. In step S106, the application related to the hardware device in the software category can be displayed at a specific location on the user interface. To prompt the user to download.

FIG. 2 is a schematic diagram of an electronic device according to an embodiment of the invention. The electronic device 2 can be used to recommend an application, and the electronic device 2 includes a hardware device 20, a user interface 22, a program memory 24, and a processor 26. Program memory 24 is used to store a set of computer executable instructions. The processor 26 is configured to access the set of computer executable instructions to perform the following steps: acquiring hardware information related to the hardware device 20, determining whether the hardware information meets a preset condition, selecting a software category corresponding to the hardware information, And at least one application associated with the hardware device 20 in the display software category is on the user interface 22.

For example, the application recommendation method of the present disclosure may be embedded in a software module executed by the processor 26, and the software module may be composed of executable instructions of the processor 26, and the software module may be stored in the program memory. twenty four. The program memory 24 can have various implementation forms, including, for example, random access memory (RAM), flash memory, read only memory (ROM), and wipeable programmable. Erasable Programmable Read Only Memory (EPROM), Electronically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read Only Memory, EEPROM), scratchpad, removable disk, CD, or other storage media. The processor 26 can load the software module from the program memory 24 to execute the application recommendation method as shown in FIG.

The hardware device 20 included in the electronic device 2 may include general and specific hardware. For example, the electronic device 2 can be a notebook computer, and the hardware device 20 can include general hardware such as a screen, a hard disk, a memory, a speaker, a keyboard, etc., which is usually hard for a notebook computer. body. The hardware device 20 may also include a special hardware, which can provide functions different from general hardware, and may appear in a specific notebook computer product. The special hardware includes, for example, a touch screen, a 3D camera, and a fingerprint reader. and many more.

The application recommendation method shown in FIG. 1 and the electronic device shown in FIG. 2 will be described below in a plurality of embodiments.

In one embodiment, the hardware device 20 includes a hard disk, and the hard disk may be a Hard Disk Drive (HDD) or a Solid State Drive (SSD). The hardware information may be the remaining of the hard disk. capacity. The processor 26 can monitor the remaining capacity of the hard disk. When the remaining capacity is less than 20% of the total hard disk capacity (the preset condition is met in step S102), the user may have more space to place the file. Therefore, the score can be increased in the cloud file tool software category, and the graphical interface agent can be notified at this time, and the user interface 22 is reserved for the hardware-related layout to display the cloud file tool application. One of the embodiments is to display a notification through the operating system, that is, when the processor 26 monitors that the remaining capacity of the hard disk is less than 20% of the whole, the operating system can display a notification for the user to click and guide. The user enters the graphical interface of the application, allowing the user to download the cloud archive tool and achieve the recommended functionality.

In one embodiment, the hardware device 20 includes a hard disk. The hard information is the extent of the file dispersion of the hard disk, that is, whether the current file storage condition of the hard disk needs to be rearranged. For example, when the degree of dispersion of the hard disk file is greater than 30% (the preset condition is met in step S102), the user may have a disk utility program or a system finishing program in this situation, and the score may be increased in the utility and The software category of the tool displays an application on the user interface 22 that can be used to reform the disk.

In one embodiment, the hardware device 20 includes a memory, such as a random access memory. The hardware information is an execution state of the memory. For example, the processor 26 can record and analyze the execution state of the memory, including the memory. The remaining capacity of the body, or the number of times the open program failed due to insufficient memory space. When the remaining capacity of the memory is less than 10% of the total, it means that the user may execute too many programs or the program does not close normally. You can increase the score in the system tool. This software type can display the virtual disk related to the memory. The tool is displayed on the user interface 22 to notify the user to perform a selected installation to facilitate system optimization. In another embodiment, when the number of failures of the memory space is insufficient and the number of failures reaches 2 times per week, the size of the memory inside the electronic device 2 may not be used enough, and a notification may be displayed to guide the user to The sales page is for optional memory.

In an embodiment, the hardware device 20 includes a display card, and the display card can be a built-in display card or an external display card. The processor 26 can record and analyze the execution status of the display card, and can collect the open program. Name, will open The name of the program is compared with the preset list to determine whether the game is heavily used for the display card, or the processor 26 can monitor the usage rate of the display card to grasp the load situation, and can count the average daily usage times and Cumulative use time. If it is determined that the display card is heavily used, the score can be increased in the drawing of a complex game software category, and the user is notified to perform the selected installation.

In an embodiment, the hardware device 20 includes a network card, and the network card may include an interface card supporting a wired network or a wireless network, for example, an Ethernet card, a Wi-Fi wireless network card, and a 3G/4G operation. The network card or the like, the processor 26 can collect the Internet Protocol (IP) address record of the network card, and compare the IP address with the domain address list to know whether the electronic device 2 is frequently international. Or use across cities. If yes, the score may be added to a travel information tool or a navigation tool, such as an application related to tourist attraction recommendation, restaurant evaluation, ride service, reservation, and vehicle navigation, and displayed on the user interface 22 to notify the user to perform the selected installation. In addition, the processor 26 can also count the number of times the IP address appears on average per week, and can know the location most commonly used by the user, and can use the application at each IP address according to the time point or by counting. It can be distinguished in the office or at home, and the corresponding application is recommended at different points in time. For example, in the office, recommend productivity tools, such as paperwork, presentations, note-taking software, etc. At home, you can recommend casual software, such as popular game software.

In an embodiment, the hardware device 20 includes a positioning device, and the system used by the positioning device includes, for example, a Global Positioning System (GPS), a GLObal NAyigation Satellite System, GLONASS), BeiDou Navigation Satellite System (BDS), etc., the positioning device can know the current geographic location of the electronic device 2. The processor 26 can record and analyze the execution state of the positioning device, collect the located latitude and longitude data, and compare with the preset latitude and longitude list to know whether the electronic device 2 is frequently used for transnational or cross-city access. If so, the score can be increased in the software category associated with the travel information tool or the navigation tool, and the user interface 22 notifies the user to select the installation.

In an embodiment, the hardware device 20 includes a screen, and the hardware information related to the screen includes the size and resolution of the screen. For example, if a screen of Full HD, 2K, 4K or higher resolution is used, Increase the score in the audio and video materials or software categories of audio and video tools, such as high-resolution movies, video playback software, etc., to inform users to select.

In an embodiment, the hardware device 20 includes a touch screen, and the processor 26 can record and analyze the usage status of the touch screen, for example, collecting the number of times the touch screen is clicked, and counting the average daily usage times. Appears to be a light/medium/high-level user, and can increase the score in the system tool. This software type is recommended for touch-enabled or touch-optimized applications, such as file annotation software that supports stylus. The note software, hand-drawn software, and the like are displayed on the user interface 22 for recommendation to the user.

In an embodiment, the hardware device 20 includes a camera, and the processor 26 can acquire a type of camera, such as a 3D camera, an eyeball tracking camera, etc., to increase the score in a 3D tool or a game that supports the camera function, for example, including a 3D scan, The video software and the like are displayed on the user interface 22 to notify the user to select or guide to the software category.

In an embodiment, the hardware device 20 includes a fingerprint identifier, and the processor 26 can obtain the usage data of the fingerprint identification, collect the number of times of fingerprint identification, and count the average daily usage times, and determine that the security requirement is light through the condition. / medium / height user. Users who frequently use the fingerprint reader may have higher requirements for data security of the electronic device, so the score may be increased in the software category of the security tool, such as screen lock, encryption software, etc., which is displayed on the user interface 22 recommendation. To the user.

The application recommendation method and the electronic device using the same in the above embodiments can achieve hardware usage preferences and habits for different users, and recommend hardware-related applications to highlight the hardware configuration provided for the electronic device. Let software and hardware work together. By using the application recommendation method disclosed in the present disclosure, the recommended application can be more in line with the characteristics of the electronic device held by the individual user, and the exclusive personalized recommendation list conforming to the hardware state of the electronic device can be completed.

In an embodiment, the application recommendation method of the present disclosure can further collect the collected hardware data for use by the user to understand which hardware is commonly used by the user, and for certain hardware of interest, in a predefined condition. (eg, number of uses, time) to distinguish the user's use level (low/medium/high), by knowing which type of group the user is targeting, in order to recommend the application that belongs to the user's preference.

For a method for a user group, reference may be made to FIG. 3, which illustrates a flow chart of an application recommendation method according to an embodiment of the present invention. As shown in Figure 1 In the flowchart, the application recommendation method shown in FIG. 3 further includes the following steps: Step S112: Select one of the user groups from the plurality of user groups according to the acquired hardware information. Step S114, displaying at least one application related to a specific user group on the user interface.

The plurality of user groups in step S112 may include a touch group, a game player group, an entertainment-oriented group, a productivity-oriented group, and other attribute groups each having a different degree of use. For example, the touch group can be subdivided into a light touch user group, a moderate touch user group, and a highly touch user group.

The application recommendation method shown in FIG. 3 may further include acquiring software information related to the opened application on the electronic device, and the software information may include the name of the opened application and the execution time. In this way, the step S112 of selecting one of the plurality of user groups to select a specific user group may be determined based on the acquired software information and hardware information. The following describes an embodiment of a plurality of different user groups.

Taking the touch group as an example, the number of times the touch screen is clicked can be collected, the average daily usage count is counted, and the user group to which the user belongs is determined by a preset condition. For example: less than 10 times a day, representing a light user; 11 to 50 times a day, representing a moderate user; more than 51 times a day, representing a high user, used here The threshold of the number of times is merely illustrative and is not intended to limit the invention. After knowing that the user belongs to the heavy touch user group, the software that selects the touch function or the touch control is selected from the software list and is displayed on the user interface, and is recommended for the user to select.

Taking the game player group as an example, the name of the opened application can be collected and compared with the preset list to determine whether it is a game that uses the display card heavily. After determining the game in the list, the time for executing the application can be collected, and the average daily usage and accumulated usage time are counted, and the user group to which the user belongs is determined by the preset condition. For example: the average daily open program is 1~5 times, the average accumulation time is greater than or equal to 15 minutes, which means it is a light game player; the average daily open program is 6~10 times, and the average accumulation time is greater than or equal to 40 minutes. For moderate gamers; the average daily open program is more than 11 times, and the average cumulative time is greater than or equal to 55 minutes, representing a heavy game player. According to the specific user group, the game software that matches the characteristics is selected from the software list, and the display is recommended to the user on the user interface.

For example, in the entertainment-oriented group, the name of the opened application can be collected, and compared with the preset list to determine whether it is a video player. After the determination, the time for executing the application can be collected, and the average daily usage and accumulated usage time are counted, and the user group to which the user belongs is determined by the preset condition. For example: the average daily open program is 1~5 times, the average accumulation time is greater than or equal to 15 minutes, which means it is a light user; the average daily opening program is 6~10 times, and the average accumulation time is greater than or equal to 40 minutes, which means It is a moderate user; the average daily opening program is more than 11 times, and the average cumulative time is greater than or equal to 55 minutes, representing a heavy user. According to the specific user group, a movie, music or audio-visual tool is selected from the software list, and the display is recommended to the user on the user interface.

FIG. 4 illustrates an application recommender according to an embodiment of the invention. Flow chart of the law. Step S300, monitoring the hardware device to obtain the state, this step may periodically monitor the hardware device to obtain the usage state of the hardware, such as the remaining capacity of the hard disk, the number of clicks of the touch screen, and the positioning device. Location record and more. Step S302, determining whether the acquired hardware state meets a preset condition, wherein the preset condition may include a plurality of corresponding conditions related to different hardware devices, and taking a hard disk as an example, the preset condition may be when the remaining capacity reaches the total capacity. For a few times, the condition is met. Taking the touch screen as an example, the preset condition may be that the number of clicks in a day is satisfied. If the result of the determination in step S302 is NO, the process returns to step S300 to continuously monitor the use state of the hardware device. If the result of the determination in step S302 is YES, the subsequent application recommendation step is entered.

Step S304, adding a score to the software category corresponding to the usage state of the hardware device, and then may include two application recommendation methods. The first, as shown in the flow to the right half of Figure 4, is a recommended method based on hardware devices. Step S310 enters the scoring system inside the electronic device, step S312 can indicate the software category with the highest score according to the scoring results of S304 and S310, and then the user interface agent can be used by the user interface agent in step S314. The application related to the hardware device is displayed on the user interface, for example, a list of application recommendation lists on the screen, and may have specific fields related to the hardware device, and the application may be displayed in the field in step S316. . The scoring system of step S310 may attenuate the scores of the respective software categories periodically or irregularly to highlight the latest hardware usage status of the electronic device, and the scoring system may also be based on the monitored hardware information in the corresponding software category. Reduce the score.

The second, as shown in the flow on the left side of Figure 4, is a recommended method based on the user community. Step S320 may update a user profile stored in the electronic device. The step may be based on the hardware information acquired in step S304, and/or the software information of the electronic device being opened by the application to update the user configuration and establish For the data file related to the usage habits of the electronic device, step S320 may include reading the original user configuration and writing the updated user configuration. Step S322 performs user grouping, and divides users into different user groups according to user configurations stored in the electronic device, for example, including touch groups, game player groups, entertainment-oriented groups, and productivity-oriented groups each having different degrees of use. And other attribute groups. Step S324 determines whether the user can be classified into one of the ethnic groups according to the preset condition, for example, the usage status threshold value of the hardware device and/or the usage time and the number of times of the software application. If the classification cannot be successfully completed, the process returns to the user configuration data block of step S320; if it can be successfully classified into the specific user group, the process proceeds to step S326, and the application related to the specific user group is displayed in the user interface. on. For example, the list of application recommendation lists on the screen may have specific fields associated with the user community, and step S326 may display the applications in this field.

The application recommendation method shown in FIGS. 3 and 4 can be implemented in the electronic device 2 as shown in FIG. 2, for example, the processor 26 accesses computer executable instructions to execute the third and fourth embodiments. The process steps shown in the figure. According to the application recommendation method of the above embodiment, the user can be defined as different user groups according to the user's usage habits, and therefore, in addition to considering the use state of the hardware device, It is possible to find an application suitable for the user based on the actual usage habits and the open application, and it is possible to more accurately display the application that conforms to the current usage on the user interface.

In an embodiment, the user may decide to perform the step S106 (displaying the application related to the hardware device in the software category on the user interface) according to the usage habit of the user, so as to increase the user's willingness to accept the recommendation. degree. In this embodiment, the application recommendation method may further include: dividing the daily time into a plurality of time periods, and recording the degree of preference of the user for displaying the application recommendation notification in each time period, thereby determining which time period to perform display. The step of the user interface in the software category relating to at least one application of the hardware device. In this way, it can be known whether the user wants to receive the message related to the application recommendation in each time period, and provides the application display notification related to the hardware device at the time when the user prefers to accept the message, and Avoid jumping out of the application display notification on the user interface at the point in time when the user does not wish to be disturbed by the display notification.

For example, the daily time can be divided into 6 time periods, including time period 1:02:00~07:59, time period 2:08:00~11:59, time period 3:12:00~15:59, time period 4 : 16:00~19:59, time slot 5:20:00~22:59, and time slot 6:23:00~01:59. It can be understood by those skilled in the art that the six time periods herein are merely illustrative, and the daily time can be further divided into more or less time periods, and the time interval corresponding to each time period can also be adjusted and changed.

In each time period, at least two types of user behavior can be recorded: (a) the user opens the application recommendation notification, and (b) the user closes the application push Recommended notice. For example, when the user operates the electronic device 2, the application recommendation notification may be closed via the user interface 22, for example, because the working time is busy, and the time point does not want to see the recommendation notification about the application, The processor 26 may increase the behavior (b) score corresponding to the time period according to the setting; otherwise, the user may want to know the application suitable for installation due to the leisure time at home, and thus the application recommendation notification is turned on. The processor 26 can accordingly increase the behavior (a) score corresponding to this period.

The behavior (a) and behavior (b) scores of each time period may be recorded in a comparison table, which may be stored in the memory of the electronic device 2 and maintained by the processor 26. An example of this comparison table can be seen in Table 1 below.

When it is determined according to the hardware device 20 that an appropriate application is recommended to the user, step S106 is performed during a period in which the behavior (a) score is relatively high, and the application recommendation notification is jumped out. For example, according to the example shown in Table 1 above, when the processor 26 determines that there is an appropriate application in the time period 3, the processor 26 waits for the time period 5 The application recommendation notification is displayed on the user interface 22.

Another example of behavior (a) and behavior (b) score comparison table at each time period can be seen in Table 2 below.

When you are ready to display an app recommendation, if there is a score (or a score greater than a certain threshold) in the following time period behavior, the user may turn off the application display notification during these time periods, and may not want to see the application. Recommendation notifications, you can decide to skip these behaviors (b) time slots with scores. For example, according to the example shown in Table 2 above, when the processor 26 determines that there is an appropriate application in the time period 3, since the time period 4 and the time period 5 behavior (b) have a score, the processor 26 waits until the time period 6 is displayed. The application recommends notifications to the user interface 22.

The examples in Table 1 and Table 2 above represent a comparison table that distinguishes a plurality of time periods in one day. In practice, the user behaviors of each day can be separately recorded, and a plurality of comparison tables are respectively created, for example, seven to Sundays and Saturdays respectively. A different comparison table, each of which has a behavior of period 1 to period 6 (a) and behavior (b) The number can be used to know the user's preference at different times of the day, and can decide when to display the application recommendation notification, which can increase the possibility of the user accepting the recommendation, and effectively reduce the user's possibility of frequently seeing The dislike of jumping out of the app recommendation notification.

In conclusion, the present invention has been disclosed in the above preferred embodiments, and is not intended to limit the present invention. A person skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention. Therefore, the scope of the invention is defined by the scope of the appended claims.

S100‧‧‧Get hardware information about hardware devices

S102‧‧‧Determining whether the hardware information meets the preset conditions

S104‧‧‧Select the software category corresponding to hardware information

S106‧‧‧ Displaying at least one application related to the hardware device in the software category on the user interface

Claims (24)

An application recommendation method is applied to an electronic device, the electronic device includes a hardware device and a user interface, and the recommended method includes: acquiring a hardware information related to the hardware device; determining whether the hardware information is Matching a predetermined condition; selecting a software category corresponding to the hardware information; adding a score corresponding to the software category; and displaying at least one application related to the hardware device in the software category in the user interface on. The method of claim 1, wherein the hardware device comprises a hard disk, the hardware information is a remaining capacity of the hard disk, and the software category is a utility and a tool. The method of claim 1, wherein the hardware device comprises a hard disk, and the hardware information is a file dispersion degree of the hard disk, and the software category is a disk tool program or a system finishing program. The method of claim 1, wherein the hardware device comprises a memory, the hardware information is an execution state of the memory, and the execution state of the memory includes a remaining capacity of the memory. This software category is a system tool. The method of claim 1, wherein the hardware device comprises a network card, the hardware information is an IP address record of the network card, and the software category is a productivity tool or a casual software. The method of claim 1, wherein the hardware device comprises a positioning device, the hardware information is a latitude and longitude list of the positioning device, and the software category is a travel information tool or a navigation tool. The method of claim 1, wherein the hardware device comprises a touch screen, the hardware information is the number of clicks of the touch screen, and the software category is a system tool. The method of claim 1, wherein the hardware device comprises a fingerprint identifier, the hardware information is the number of uses of the fingerprint identifier, and the software category is a security tool. The method of claim 1, further comprising: selecting one of a plurality of user groups from the plurality of user groups based on the acquired hardware information; and displaying at least the specific user group An application is on the user interface; wherein the user groups include touch groups, game player groups, entertainment-oriented groups, productivity-oriented groups, and other attribute groups having different degrees of use. The method of claim 9, further comprising: obtaining a software information related to the opened application on the electronic device, the software information including a name of the opened application and an execution time; The hardware information and the software information select one of the specific user groups from the user groups. The method of claim 1, further comprising: dividing the daily time into a plurality of time periods; and recording the degree of preference of the user for displaying the application recommendation notification during each of the time periods, thereby determining the Which of the time periods performs the step of displaying the at least one application of the software category associated with the hardware device on the user interface. The method of claim 11, wherein at least one of the following two user behaviors is recorded during each of the time periods to determine a user's preference for displaying the application recommendation notification: (a) the user opens the application Recommended notifications; and (b) the user closes the app recommendation notification. An electronic device for recommending an application, the electronic device comprising: a hardware device; a user interface; a program memory for storing a set of computer executable instructions; and a processor for accessing the The computer executable instructions are configured to: obtain a piece of hardware information related to the hardware device; determine whether the hardware information meets a predetermined condition; select a software category corresponding to the hardware information; a score of the software category; and displaying at least one application related to the hardware device in the software category on the user interface. The electronic device of claim 13, wherein the hardware device comprises a hard disk, the hardware information is a remaining capacity of the hard disk, and the software category is a cloud file tool. The electronic device of claim 13, wherein the hardware device comprises a hard disk, and the hardware information is a file dispersion degree of the hard disk, and the software category is a utility and a tool. The electronic device of claim 13, wherein the hardware device comprises a memory, the hardware information is an execution state of the memory, and the execution state of the memory includes a remaining capacity of the memory. , the software category is a system tool. The electronic device of claim 13, wherein the hardware device comprises a network card, and the hardware information is an IP address record of the network card, and the software category is a productivity tool or a casual software. The electronic device of claim 13, wherein the hardware device comprises a positioning device, the hardware information is a latitude and longitude list of the positioning device, and the software category is a travel information tool or a navigation tool. The electronic device of claim 13, wherein the hardware device comprises a touch screen, the hardware information is the number of clicks of the touch screen, and the software category is a system tool. The electronic device of claim 13, wherein the hardware device comprises a fingerprint identifier, the hardware information is the number of uses of the fingerprint identifier, and the software category is a security tool. The electronic device of claim 13, wherein the processor accessing the set of computer executable instructions further performs the following steps: selecting one of the plurality of user groups according to the acquired hardware information a user group; and displaying at least one application related to the specific user group on the user interface; wherein the user groups include touch groups, game player groups, entertainment-oriented groups, and different usage levels, Productivity-oriented groups, as well as other attribute groups. The electronic device of claim 21, wherein the processor accesses the set of computer executable instructions to perform the following steps: acquiring a software information related to the opened application on the electronic device, the software information including The name of the application to be opened and the execution time; and select one of the user groups from the user groups based on the obtained hardware information and the software information. The electronic device of claim 13, wherein the processor accessing the set of computer executable instructions further performs the steps of: dividing the daily time into a plurality of time periods; and recording the user for each of the time periods The preference level of the application recommendation notification is displayed, and it is determined at which of the time periods, the at least one application related to the hardware device in the software category is displayed on the user interface. The electronic device of claim 13, wherein each of the electronic devices During the time period, the processor records at least two user behaviors to determine the user's preference for displaying the application recommendation notification: (a) the user opens the application recommendation notification; and (b) the user closes the application recommendation notification .