CN107767228A - Application recommended method, device, terminal equipment and storage medium - Google Patents

Abstract

The embodiment of the application discloses an application recommendation method and device, terminal equipment and a storage medium. The method comprises the following steps: acquiring a target label corresponding to a target application, wherein the target label is used for representing the attribute characteristics of the target application; determining related applications associated with the target application according to the target tag; and pushing the related application to a user. According to the application recommendation method provided by the embodiment of the application, the application to be pushed is obtained according to the label of the target application, so that the pushed application and the target application have certain correlation, and the accuracy of application recommendation is improved.

Description

Application recommended method, device, terminal equipment and storage medium

technical field

The embodiments of the present application relate to the technical fields of terminals and the Internet, and in particular, to an application recommendation method, device, terminal equipment, and storage medium.

Background technique

At present, with the rapid development of Internet technology and the popularization of terminal devices, terminal devices such as smart phones and tablet computers have more and more functions, and users can realize different functions of the terminal devices through the application programs provided by the terminal devices. As various types of applications are developed, in order to enable new applications to be used for learning, various application recommendation services emerge as the times require.

In related technologies, methods for recommending applications to users include: recommending based on the number of times the application is downloaded, recommending according to the update time, or recommending based on the user's evaluation score for the application. The above several recommendation methods are based on the accumulated usage data of the user when using the application. The recommendation of each application is independent, which makes the accuracy of the application recommendation low.

Contents of the invention

Embodiments of the present application provide an application recommendation method, device, terminal device, and storage medium, which can improve the accuracy of application recommendation.

In the first aspect, the embodiment of the present application provides an application recommendation method, the method includes:

Obtaining a target tag corresponding to the target application, where the target tag is used to characterize the attribute characteristics of the target application;

determining a related application associated with the target application according to the target tag;

Push the relevant application to the user.

In the second aspect, the embodiment of the present application also provides an application recommendation device, which includes:

A target tag acquisition module, configured to acquire a target tag corresponding to a target application, where the target tag is used to characterize the attribute characteristics of the target application;

A related application determining module, configured to determine a related application associated with the target application according to the target tag;

A related application pushing module, configured to push the related application to the user.

In the third aspect, the embodiment of the present application also provides a terminal device, including: a processor, a memory, and a computer program stored on the memory and operable on the processor, when the processor executes the computer program, the following is implemented: The application recommendation method described in the first aspect.

In a fourth aspect, the embodiment of the present application further provides a storage medium on which a computer program is stored, and when the program is executed by a processor, the application recommendation method as described in the first aspect is implemented.

In the embodiment of the present application, the target tag corresponding to the target application is first obtained, and the target tag is used to characterize the attribute characteristics of the target application, and then the related application associated with the target application is determined according to the target tag, and finally the related application is pushed to the user. The application recommendation method provided in the embodiment of the present application obtains the application to be pushed according to the tag of the target application, so that the pushed application has a certain correlation with the target application, thereby improving the accuracy of application recommendation.

Description of drawings

FIG. 1 is a flow chart of an application recommendation method in an embodiment of the present application;

FIG. 2 is a flow chart of another application recommendation method in the embodiment of the present application;

Fig. 3 is a flowchart of another application recommendation method in the embodiment of the present application;

Fig. 4 is a flowchart of another application recommendation method in the embodiment of the present application;

FIG. 5 is a schematic structural diagram of an application recommendation device in an embodiment of the present application;

FIG. 6 is a schematic structural diagram of a terminal device in an embodiment of the present application;

FIG. 7 is a schematic structural diagram of another terminal device in the embodiment of the present application.

Detailed ways

The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only some structures related to the present application are shown in the drawings but not all structures.

The application store can provide users with various application programs. In related technologies, the application store recommends applications to users in the following ways: 1. Recommendations are made according to the number of times the applications have been downloaded, and the most downloaded applications are recommended first; 2. Recommendations are made according to the update time. Apps are recommended with priority; 3. Recommendations are made according to user ratings, and apps with high user ratings are recommended first. In the above recommendation methods, the recommended applications are the same for all users, which cannot meet the individual needs of users, and each application is recommended independently according to its own data, and there is no connection between applications, making the application recommendation accurate. Sex is lower.

Fig. 1 is a flow chart of an application recommendation method provided by the embodiment of the present application. This embodiment is applicable to the situation of recommending an application program, and the method can be executed by an application recommendation device, which can be integrated into a mobile phone or a tablet computer, etc. in the terminal. As shown in Figure 1, the method includes the following steps.

Step 110, acquiring the target tag corresponding to the target application.

Among them, the target label is used to characterize the attribute characteristics of the target application. The attribute feature may include resource information, function and classification information of the target application. The target application may be an application program already installed on the terminal, or an application program currently being installed, and the like. The number of target tags can be one or more, which can be added by developers according to the attributes and characteristics of the target application.

Specifically, the process of obtaining the target label corresponding to the target application may be that, when the user enters the application store and selects an application program that is currently installed on the terminal device, or when the target application program is currently being installed, the resource management system in the terminal device is in the target application. The target tag is searched in the storage directory of the application, so as to obtain the target tag corresponding to the target application. In this application scenario, the target tag is added to the target application in advance.

Optionally, before obtaining the target tag corresponding to the target application, the method further includes: adding at least one tag to the application satisfying the preset level according to the attribute feature.

Wherein, the preset level may be divided according to the source of the application, the number of times of downloading and user evaluation. Exemplarily, it is assumed that the grades are divided into three grades: A, B, and C. If an application is classified into grade C, no tag is added to it, and only tags with grades A and B are added. Specifically, the method of adding at least one tag to an application satisfying a preset level according to attribute characteristics is: for an application satisfying a preset level, obtain attribute characteristics such as resource information, function, and classification information of the application, and then use these attribute characteristics as Apply tags. Exemplarily, the tags added to the commonly used navigation application "Baidu Map" may include: map, voice navigation, electronic eye, navigation, positioning, offline map and GPS.

Step 120, determine related applications associated with the target application according to the target tag.

Wherein, the related application associated with the target application may be an application having at least one same label as the target application. Optionally, the manner of determining the related application associated with the target application according to the target tag may be: comparing the target tag with tags of other applications, and determining an application containing at least one tag in the target tag as a related application.

Wherein, other applications may be all other applications with labels except the target application in the application library. In this embodiment, after the target tag of the target application is obtained, the obtained target tag is compared with the tags of other applications in the application library, and the application containing at least one tag in the target tag is extracted, and determined to be the same as the target application. Associated related applications. For example, assume that the target application includes the following tags: tag a, tag b, tag c, and tag d, the tags of application 1 in the application library are: tag c, tag e, and the tags of application 2 are tag f. Tag g and note h. The tags of application 3 are tag a, tag b, tag g, and note h. Through comparison, the related applications associated with the target application are app 1 and app 3.

Step 130, push the relevant application to the user.

Specifically, after obtaining the related applications associated with the target application, the terminal device pushes the obtained related applications to the interface where the application store is currently located for selection by the user.

Optionally, pushing relevant applications to users can be implemented in the following ways:

Firstly, relevant applications are traversed, and the number of identical tags between each relevant application and the target application is calculated.

Specifically, after the related applications are acquired, the related applications are traversed, the tags of the related applications are compared with the target tags of the target application one by one, and the number of identical tags of each related application and the target application is calculated. Exemplarily, it is assumed that the target application includes the following tags: tag a, tag b, tag c, and tag d, the tags of application 1 in the related application are: tag c, tag e, and the tags of application 3 are Tag a, tag b, tag g, and sticky note h. Through comparison and calculation, it can be obtained that application 1 has 1 identical label with the target application, and application 3 has 2 identical labels with the target application.

Then, determine the pushing order of related applications according to the number of the same tags.

Specifically, the manner of determining the pushing order of the related applications according to the number of the same tags may be to sort the pushing order of the related applications in descending order of the number of the same tags. Optionally, for related applications with the same number of tags, they can be sorted randomly, or sorted according to the initial letter of the application name. Exemplarily, it is assumed that related applications of the target application include: application 1, application 2, . . . , application 5. The numbers of the same tags of application 1 to application 5 as the target application are: 2, 1, 3, 2, and 5, respectively. Then the push sequence is: application 5, application 3, application 1, application 4, and application 2.

Finally, related applications are pushed to the user according to the pushing sequence.

Specifically, after the pushing sequence of the related applications is determined, the related applications are pushed to the user according to the determined pushing sequence.

Optionally, the manner of pushing the relevant applications to the user according to the pushing sequence may be to push the preset number of related applications that are higher in the pushing sequence to the user. Wherein, the preset number can be set to any value between 3-8. Optionally, if the number of related applications is greater than the preset number, the preset number of related applications in the push order will be pushed to the user; if the number of related applications is smaller than the preset number, the current number of related applications will be recommended to the user. Alternatively, the user obtains non-related applications belonging to the same category as the target application, and pushes them after the relevant ones, so that the number of pushed applications satisfies a preset number. The advantage of pushing a preset number of related applications to the user is that it can not only achieve the function of application recommendation, but also save the current recommendation resource space.

In the technical solution of this embodiment, the target tag corresponding to the target application is first obtained, and the target tag is used to characterize the attribute characteristics of the target application, and then the related application associated with the target application is determined according to the target tag, and finally the related application is pushed to the user. The application recommendation method provided in the embodiment of the present application obtains the application to be pushed according to the tag of the target application, so that the pushed application has a certain correlation with the target application, thereby improving the accuracy of application recommendation.

Optionally, FIG. 2 is a flow chart of another application recommendation method provided in the embodiment of the present application. As shown in Figure 2, the method includes the following steps.

Step 210, acquiring a target tag corresponding to the target application.

Step 220, determine related applications associated with the target application according to the target tag.

Step 230, obtain the score and/or historical download times of related applications.

In this application scenario, the server where the application store is located counts the ratings and download times of related applications by users, and obtains the ratings and historical download times of related applications. Specifically, the manner in which the terminal device acquires the score and/or historical download times of related applications may be that the terminal device directly accesses the relevant data of the score and/or historical download times from the server.

Step 240, determine the pushing order of related applications according to the score and/or the number of historical downloads.

Specifically, the manner of determining the push order of the related applications according to the scores may be to sort the push orders of the related applications in descending order of the scores. The manner of confirming the pushing sequence of the related applications according to the historical download times may be to sort the pushing sequence of the related applications according to the descending order of the historical downloaded times. The method of determining the recommendation order of related applications according to the scores and the number of historical downloads may be to calculate the evaluation parameters of related applications according to the respective weights of the scores and the number of historical downloads, and push the related applications according to the order of evaluation parameters from high to low put in order. The calculation formula of the evaluation parameter may be: evaluation parameter=c1*score+c2*number of historical downloads, wherein, c1 is the weight of the score, c2 is the weight of the number of historical downloads, and c1+c2=1. In this embodiment, the setting of the weight of both the score and the historical download times can be set arbitrarily, and there is no limitation here. Exemplarily, assuming that the value of c1 is 0.3, the value of c2 is 0.7, and the score of a related application is 80 points, and the number of downloads is 350 times, then the evaluation parameter of the related application is 0.3*80+0.7 *350=269.

Step 250, push relevant applications to the user according to the recommended sequence.

Specifically, after the pushing sequence of the related applications is determined, the related applications are pushed to the user according to the determined pushing sequence. Optionally, the manner of pushing the relevant applications to the user according to the pushing sequence may be to push the preset number of related applications that are higher in the pushing sequence to the user.

In the technical solution of this embodiment, first determine the related applications associated with the target application according to the target label, then determine the push order of the related applications according to the score and/or the number of historical downloads, and finally push the related applications to the user according to the recommended order. Not only the correlation between applications is considered, but also the historical data of applications is considered, which improves the accuracy of application recommendation.

Optionally, FIG. 3 is a flow chart of another application recommendation method provided in the embodiment of the present application. As shown in Figure 3, the method includes the following steps.

Step 310, acquiring the target tag corresponding to the target application.

Step 320, determine related applications associated with the target application according to the target tag.

Step 330, acquiring the current geographic location information of the user.

Specifically, the way to obtain the current geographic location information of the user may be that the Global Positioning System (Global Positioning System, GPS) in the customs clearance terminal device locates the current location of the user to obtain the current geographic location of the user. information.

Step 340, extracting related applications with tags representing geographic location information, and determining them as target related applications.

Specifically, after obtaining the current geographic location information of the user, the tags of related applications are traversed, the geographic location information is compared with the tags of related applications, and then the related applications with tags representing the geographic location information are extracted. identified as target relevant applications. Exemplarily, assuming that the geographic location information of the user is a certain food court, then the tags representing the geographic location information can be tags related to food and movies, and there will be tags representing the geographic location information in related applications The applications are extracted and identified as target-related applications.

Step 350, determining the target related application as a high-priority push application, and pushing the related applications to the user in descending order of priority.

Specifically, determining the target-related application as a high-priority push application may be to push the target-related application before other related applications. Related applications are pushed to the user in descending order of priority. Optionally, if the number of related applications is greater than the preset number, then the preset number of related applications in the pushing order will be pushed to the user.

In the technical solution of this embodiment, relevant applications with tags representing geographic location information are extracted, determined as target-related applications, and target-related applications are determined as high-priority push applications, and related The application is pushed to the user. Using geographic location information and target tags together as a condition for pushing applications can improve the accuracy of pushing applications.

FIG. 4 is a flow chart of another application recommendation method provided by the embodiment of the present application. As a further explanation of the above embodiment, the method includes the following steps.

Step 410, add at least one label to the application satisfying the preset level according to the attribute feature.

Step 420, acquiring the target tag corresponding to the target application.

Step 430, comparing the target tag with tags of other applications.

Step 440, determining an application including at least one tag in the target tags as a related application.

Step 450, traversing related applications, and counting the number of identical tags between each related application and the target application.

Step 460, determine the push order of related applications according to the number of the same tags.

Step 470 , push a preset number of related applications that are pushed higher in order to the user.

In the technical solution of this embodiment, the association between applications is established through tags, and applications are recommended by utilizing the association of tags between applications, which can improve the accuracy of application recommendation.

FIG. 5 is a schematic structural diagram of an application recommendation device provided in an embodiment of the present application. As shown in FIG. 5 , the device includes: a target tag acquiring module 510 , a related application determining module 520 and a related application pushing module 530 .

The target label acquisition module 510 is used to acquire the target label corresponding to the target application, and the target label is used to characterize the attribute characteristics of the target application;

A related application determining module 520, configured to determine related applications associated with the target application according to the target tag;

A related application pushing module 530, configured to push related applications to users.

Optionally, the relevant application determining module 520 is also used for:

Compare the target label with the labels of other applications;

An application containing at least one of the target tags is determined as a relevant application.

Optionally, the relevant application push module 530 is also used for:

Traversing related applications, and calculating the number of tags that each related application has the same as the target application;

Determine the pushing order of related applications according to the number of the same tags;

Push relevant applications to the user according to the pushing sequence.

Optionally, the relevant application push module 530 is also used for:

Get ratings and/or historical download times of related apps;

Determine the pushing order of relevant applications based on ratings and/or historical download times;

Push relevant applications to users according to the recommended order.

Optionally, the relevant application push module 530 is also used for:

Pushing a preset number of related applications with a higher pushing order to the user.

Optionally, also include:

The geographic location information acquisition module is used to obtain the current geographic location information of the user;

A target-related application confirmation module, configured to extract related applications with tags representing geographic location information, and determine them as target-related applications;

Correspondingly, the relevant application pushing module 530 is also used for:

The target relevant application is determined as a high-priority push application, and the relevant application is pushed to the user in descending order of priority.

Optionally, also include:

A tag adding module, configured to add at least one tag to an application satisfying a preset level according to attribute characteristics.

The above-mentioned device can execute the methods provided by all the foregoing embodiments of the present application, and has corresponding functional modules and beneficial effects for executing the above-mentioned methods. For technical details not exhaustively described in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the present application.

FIG. 6 is a schematic structural diagram of a terminal device provided in an embodiment of the present application. As shown in FIG. 6, a terminal device 600 includes a memory 601 and a processor 602, wherein the processor 602 is configured to perform the following steps:

Obtain the target label corresponding to the target application, and the target label is used to represent the attribute characteristics of the target application;

Determine related applications associated with the target application according to the target tag;

Push relevant applications to users.

FIG. 7 is a schematic structural diagram of another terminal device provided by an embodiment of the present application. As shown in FIG. 7 , the terminal may include: a housing (not shown in the figure), a memory 601, a central processing unit (Central Processing Unit, CPU) 602 (also known as a processor, hereinafter referred to as CPU), a memory stored in the memory 601 A computer program running on the processor 602, a circuit board (not shown in the figure) and a power supply circuit (not shown in the figure). The circuit board is placed inside the space surrounded by the housing; the CPU 602 and the memory 601 are arranged on the circuit board; the power supply circuit is used to supply power to each circuit or device of the terminal; The memory 601 is used to store executable program codes; the CPU 602 runs programs corresponding to the executable program codes by reading the executable program codes stored in the memory 601 .

The terminal also includes: peripheral interface 603, RF (Radio Frequency, radio frequency) circuit 605, audio circuit 606, speaker 611, power management chip 608, input/output (I/O) subsystem 609, touch screen 612, other input /control device 610 and external port 604 , these components communicate via one or more communication buses or signal lines 607 .

It should be understood that the illustrated terminal device 600 is only an example of a terminal, and that the terminal device 600 may have more or fewer components than shown in the figure, two or more components may be combined, or Different component configurations are possible. The various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software including one or more signal processing and/or application specific integrated circuits.

The terminal device used for application recommendation provided in this embodiment will be described in detail below, and the terminal device is a smart phone as an example.

Memory 601, the memory 601 can be accessed by the CPU 602, the peripheral interface 603, etc., the memory 601 can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more disk storage devices, flash memory devices , or other volatile solid-state storage devices.

Peripheral interface 603 , which can connect the input and output peripherals of the device to CPU 602 and memory 601 .

The I/O subsystem 609 , the I/O subsystem 609 can connect input and output peripherals on the device, such as a touch screen 612 and other input/control devices 610 , to the peripheral interface 603 . I/O subsystem 609 may include a display controller 6091 and one or more input controllers 6092 for controlling other input/control devices 610 . Among them, one or more input controllers 6092 receive electrical signals from or send electrical signals to other input/control devices 610, which may include physical buttons (push buttons, rocker buttons, etc.) ), dials, slide switches, joysticks, click wheels. It is worth noting that the input controller 6092 can be connected to any of the following: a keyboard, an infrared port, a USB interface, and a pointing device such as a mouse.

Wherein, according to the working principle of the touch screen and the classification of the medium for transmitting information, the touch screen 612 can be a resistive type, a capacitive sensing type, an infrared type or a surface acoustic wave type. Classified according to the installation method, the touch screen 612 can be: plug-in type, built-in type or integral type. Classified according to technical principles, the touch screen 612 may be: a touch screen with vector pressure sensing technology, a touch screen with resistive technology, a touch screen with capacitive technology, a touch screen with infrared technology or a touch screen with surface acoustic wave technology.

A touch screen 612, the touch screen 612 is an input interface and an output interface between the user terminal and the user, and displays visual output to the user. The visual output may include graphics, text, icons, videos, and the like. Optionally, the touch screen 612 sends an electrical signal triggered by the user on the touch screen (such as an electrical signal on the contact surface) to the processor 602 .

The display controller 6091 in the I/O subsystem 609 receives electrical signals from the touch screen 612 or sends electrical signals to the touch screen 612 . The touch screen 612 detects the contact on the touch screen, and the display controller 6091 converts the detected contact into an interaction with the user interface object displayed on the touch screen 612, that is, realizes human-computer interaction, and the user interface object displayed on the touch screen 612 can be a running Icons for games, icons for networking to appropriate networks, etc. It is worth noting that the device may also include an optical mouse, which is a touch-sensitive surface that does not display visual output, or that is an extension of a touch-sensitive surface formed by a touch screen.

The RF circuit 605 is mainly used to establish communication between the smart speaker and the wireless network (that is, the network side), and realize data reception and transmission between the smart speaker and the wireless network. Such as sending and receiving short messages, e-mails, etc.

The audio circuit 606 is mainly used to receive audio data from the peripheral interface 603 , convert the audio data into electrical signals, and send the electrical signals to the speaker 611 .

The speaker 611 is used to restore the voice signal received by the smart speaker from the wireless network through the RF circuit 605 into sound and play the sound to the user.

The power management chip 608 is used for power supply and power management for the hardware connected to the CPU 602 , the I/O subsystem and the peripheral interface.

In this embodiment, the central processing unit 602 is used for:

Obtaining a target tag corresponding to the target application, where the target tag is used to characterize the attribute characteristics of the target application;

determining a related application associated with the target application according to the target tag;

Push the relevant application to the user.

Further, the determining the related application associated with the target application according to the target tag includes:

comparing the target tag with tags of other applications;

An application including at least one of the target tags is determined as a relevant application.

Further, the pushing the related application to the user includes:

traversing the related applications, and calculating the number of tags that each related application has the same as the target application;

determining the pushing order of the relevant applications according to the number of the same tags;

Pushing the relevant applications to the user according to the pushing order.

Further, the pushing the related application to the user includes:

Obtain the rating and/or historical download times of the relevant application;

determining the pushing order of the relevant applications according to the score and/or the number of downloads in history;

Pushing the relevant applications to the user according to the recommendation order.

Further, the pushing the related applications according to the recommended order includes:

Pushing a preset number of related applications with a higher pushing order to the user.

Further, after determining the relevant application associated with the target application according to the target tag, the method further includes:

Obtain the geographic location information of the user's current location;

Extracting related applications with tags representing the geographic location information, and determining them as target related applications;

Correspondingly, push the relevant application to the user, including:

Determining the target related application as a high-priority push application, and pushing the related applications to the user in descending order of priority.

Further, before obtaining the target label corresponding to the target application, it also includes:

Add at least one label to the application satisfying the preset level according to the attribute feature.

The embodiment of the present application also provides a storage medium containing executable instructions of a terminal device, and the executable instructions of the terminal device are used to execute an application recommendation method when executed by a processor of the terminal device.

The computer storage medium in the embodiments of the present application may use any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a data signal carrying computer readable program code in baseband or as part of a carrier wave. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. .

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including - but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, and conventional procedural Programming language - such as "C" or a similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider). Internet connection).

Of course, in the storage medium containing computer-executable instructions provided in the embodiments of the present application, the computer-executable instructions are not limited to the above-mentioned application recommendation operations, and can also execute the application recommendation method provided in any embodiment of the application. related operations.

Note that the above are only preferred embodiments and technical principles used in this application. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present application, and the present application The scope is determined by the scope of the appended claims.

Claims (10)

1. An application recommendation method, characterized in that, comprising: Obtaining a target tag corresponding to the target application, where the target tag is used to characterize the attribute characteristics of the target application; determining a related application associated with the target application according to the target tag; Push the relevant application to the user. 2. The application recommendation method according to claim 1, wherein said determining the relevant application associated with the target application according to the target tag comprises: comparing the target tag with tags of other applications; An application including at least one of the target tags is determined as a relevant application. 3. The application recommendation method according to claim 1, wherein the pushing the relevant application to the user comprises: traversing the related applications, and calculating the number of tags that each related application has the same as the target application; determining the pushing order of the relevant applications according to the number of the same tags; Pushing the relevant applications to the user according to the pushing order. 4. The application recommendation method according to claim 1, wherein the pushing the relevant application to the user comprises: Obtain the rating and/or historical download times of the relevant application; determining the pushing order of the relevant applications according to the score and/or the number of downloads in history; Pushing the relevant applications to the user according to the recommendation order. 5. The application recommendation method according to claim 3 or 4, wherein the pushing the related applications according to the recommendation order comprises: Pushing a preset number of related applications with a higher pushing order to the user. 6. The application recommendation method according to claim 1, further comprising: after determining the related application associated with the target application according to the target tag: Obtain the geographic location information of the user's current location; Extracting related applications with tags representing the geographic location information, and determining them as target related applications; Correspondingly, push the relevant application to the user, including: Determining the target related application as a high-priority push application, and pushing the related applications to the user in descending order of priority. 7. The application recommendation method according to claim 1, further comprising: before obtaining the target label corresponding to the target application: Add at least one label to the application satisfying the preset level according to the attribute feature. 8. An application recommendation device, characterized in that it comprises: A target tag acquisition module, configured to acquire a target tag corresponding to a target application, where the target tag is used to characterize the attribute characteristics of the target application; A related application determining module, configured to determine a related application associated with the target application according to the target tag; A related application pushing module, configured to push the related application to the user. 9. A terminal device, characterized in that it comprises: a processor, a memory, and a computer program stored on the memory and operable on the processor, when the processor executes the computer program, it realizes the requirements of claims 1-7. Any one of the recommended methods for application. 10. A storage medium, on which a computer program is stored, wherein when the program is executed by a processor, the application recommendation method according to any one of claims 1-7 is implemented.