CN110798511A

CN110798511A - Method for predicting number of daily active users of target APP and computer equipment

Info

Publication number: CN110798511A
Application number: CN201910971514.4A
Authority: CN
Inventors: 尹雅露; 陈津来; 毕树超; 方毅; 叶新江
Original assignee: Zhejiang Daily Interactive Network Technology Co Ltd
Current assignee: Zhejiang Daily Interactive Network Technology Co Ltd
Priority date: 2019-10-14
Filing date: 2019-10-14
Publication date: 2020-02-14
Anticipated expiration: 2039-10-14
Also published as: CN110798511B

Abstract

The invention discloses a method and equipment for predicting the number of daily active users of a target APP, wherein the method comprises the following steps: acquiring a plurality of APP active lists reported by each terminal according to a preset rule, wherein the APP active lists comprise identification information of called or called APPs in the time period, and the identification information of the APPs are arranged in a reverse order according to opening time; searching the called target APP and the reference APP according to the APP active list, respectively updating the count value of the counter corresponding to the target APP according to the search result of each target APP, and updating the count value of the counter corresponding to the reference APP according to the search result of the reference APP; acquiring the number of daily active users of the reference APP; and predicting the daily active user number of the target APP by referring to the count value of the counter corresponding to the APP and the daily active user number of the APP according to the count value of the counter corresponding to the target APP. Through the scheme, the prediction result can be more accurate.

Description

Method for predicting number of daily active users of target APP and computer equipment

Technical Field

The invention relates to the technical field of information processing, in particular to a method for predicting the number of daily active users of a target APP and computer equipment.

Background

The number of Active users (DAU) is often used to reflect the operation of a website, an internet application, or an internet game. Embodied as counting the number of user terminals that logged on or used a certain product within a selected date. The DAU can well monitor the user growth condition of the Internet application, and provide data support and help for the popularization of the advertisement channel and the estimation of the delivery cost.

In the related technology, a logarithmic function curve or a power function curve is used, historical data are directly or sectionally used for fitting the number of the future active users, and a time series model is used for predicting the number of the future N-period active users on the basis of the empirical value of the users. The prediction period is short, the long-term retention cannot be accurately predicted, the error rate of the prediction result is high, and the adjustment and cost budget of the popularization strategy cannot be supported.

Disclosure of Invention

In view of the above problems, the present invention provides a method for predicting the number of daily active users of a target APP and a computer device, which can predict the number of daily active users of the target APP more accurately according to an APP active list.

According to a first aspect of the embodiments of the present invention, a method for predicting the number of daily active users of a target APP is provided, including:

acquiring a plurality of APP active lists reported by each terminal according to a preset rule, wherein the APP active lists comprise identification information of called or called APPs in the time period, and the identification information of the APPs are arranged in a reverse order according to opening time;

searching the called target APP and the reference APP according to the plurality of APP active lists, respectively updating the count value of the counter corresponding to the target APP according to the search result of each target APP, and updating the count value of the counter corresponding to the reference APP according to the search result of the reference APP;

acquiring the number of daily active users of the reference APP;

and predicting the daily active user number of the target APP by referring to the count value of the counter corresponding to the APP and the daily active user number of the APP according to the count value of the counter corresponding to the target APP.

In an embodiment, preferably, the searching for the called target APP and the reference APP according to the multiple APP active lists, and updating the count value of the counter corresponding to the target APP according to the search result of each target APP, and updating the count value of the counter corresponding to the reference APP according to the search result of the reference APP include:

comparing the two adjacent APP active lists reported by each terminal to obtain an active APP corresponding to each terminal;

and searching the target APP and the reference APP from the active APPs corresponding to the terminals, adding 1 to the count value of the counter corresponding to the target APP when the target APP is searched every time, and adding 1 to the count value of the counter corresponding to the reference APP when the reference APP is searched every time.

In an embodiment, preferably, the comparing the two adjacent APP active lists reported by each terminal to obtain an active APP corresponding to each terminal includes:

comparing whether the arrangement positions of the APPs in the two adjacent APP active lists in the list are changed or not;

determining the APP with the changed arrangement position or the APP always arranged at the first position as the active APP.

In an embodiment, preferably, the predicting, according to the count value of the counter corresponding to the target APP, the count value of the counter corresponding to the reference APP and the number of active users per day of the reference APP, the number of active users per day of the target APP includes:

comparing the count value corresponding to the target APP with the count value corresponding to the reference APP to obtain a target ratio;

acquiring the number of daily active users of the reference APP;

and determining the daily active user number of the target APP according to the product of the target ratio and the daily active user number of the reference APP.

In an embodiment, preferably, the obtaining of multiple APP active lists reported by each terminal according to a predetermined rule includes:

and acquiring an APP active list reported by each terminal according to a preset time period through a corresponding target SDK, wherein the target SDKs corresponding to different terminals are the same or different.

In an embodiment, preferably, each terminal selects the target SDK from at least one SDK according to a preset SDK selection rule.

searching for called target APP and reference APP corresponding to each target SDK according to a plurality of APP active lists reported by each target SDK, and updating the count value of a counter corresponding to the target APP of the target SDK and the count value of a counter corresponding to the reference APP of the SDK according to the searching result;

comparing the first count value corresponding to the target APP with the second count value corresponding to the reference APP to obtain a target ratio, including:

calculating the ratio of the count value of the counter of the target APP corresponding to each SDK to the count value of the counter of the reference APP;

and taking a median according to a plurality of ratios corresponding to the SDKs to obtain the target ratio.

searching for called target APPs and reference APPs according to a plurality of APP active lists reported by each terminal, updating the count value of a counter corresponding to each target APP according to the search results corresponding to all terminals, and updating the count value of a counter corresponding to the reference APP;

comparing the count value corresponding to the target APP with the count value corresponding to the reference APP to obtain a target ratio, including:

comparing the count value corresponding to each target APP with the count value corresponding to the reference APP respectively to obtain a plurality of ratio values;

and taking the median of the multiple ratios to obtain the target ratio.

According to a second aspect of embodiments of the present invention, there is provided a computer apparatus comprising:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method as described in the first aspect or any of the embodiments of the first aspect.

According to a third aspect of embodiments of the present invention, there is provided a computer-readable storage medium, wherein an application program is stored in the computer-readable storage medium, and the application program is configured to perform the method according to the first aspect or any of the embodiments of the first aspect.

In the embodiment of the invention, the daily active user number of the target APP is predicted according to the APP active list reported by the terminal, the reference APP count value and the actual daily active user number of the reference APP, so that the prediction result is more accurate.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a flowchart of a method for predicting the number of active users of a target APP according to an embodiment of the present invention.

Fig. 2 is a flowchart of step S102 in a method for predicting the number of daily active users of a target APP according to another embodiment of the present invention.

FIG. 3 is a flowchart of a method for predicting the number of active users of a target APP according to another embodiment of the present invention.

FIG. 4 is a flowchart of a method for predicting the number of daily active users of a target APP according to another embodiment of the present invention.

FIG. 5 is a flowchart of a method for predicting the number of daily active users of a target APP, according to another embodiment of the present invention.

FIG. 6 is a flowchart of a method for predicting the number of daily active users of a target APP, according to another embodiment of the present invention.

Fig. 7 is a block diagram showing a partial structure of a computer related to a terminal provided by the embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.

In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The APP active list is that when a user opens or uses APPs, in a background of the mobile terminal, the APP list opened or used by the user in a preset time is recorded, the list is displayed in sequence according to the opening or using time of the APPs, the APP which is active last time is arranged at the first position of the list, and the APP which is active before is arranged behind the APP in sequence. The APP active list is recorded and reported once according to preset time. For example, if the predetermined time is 3 minutes, when the terminal is in the unlocked state, the APP active list is reported every 3 minutes. For another example, if the user opens the application a, opens the application B, and opens the application C again within 3 minutes, the APP active list is: and C-B-A, if the user opens the application C and opens the user B, the APP active list is B-C-A.

As shown in FIG. 1, the method for predicting the number of daily active users of a target APP comprises steps S101-S103:

step S101, acquiring a plurality of APP active lists reported by each terminal according to a preset rule, wherein the APP active lists comprise identification information of called or called APPs in the time period, and the identification information of the APPs are arranged in a reverse order according to opening time;

step S102, searching the called target APP and reference APP according to the plurality of APP active lists, respectively updating the count value of the counter corresponding to the target APP according to the search result of each target APP, and updating the count value of the counter corresponding to the reference APP according to the search result of the reference APP;

step S103, acquiring the number of daily active users of the reference APP;

and step S104, predicting the daily active user number of the target APP by referring to the count value of the counter corresponding to the APP and the daily active user number of the APP according to the count value of the counter corresponding to the target APP.

In the embodiment, the daily active user number of the target APP is predicted according to the APP active list reported by the terminal, the reference APP count value and the actual daily active user number of the reference APP, so that the prediction result is more accurate.

As shown in fig. 2, in one embodiment, preferably, the step S102 includes steps S201 to S202:

step S201, comparing two adjacent APP active lists reported by each terminal to obtain an active APP corresponding to each terminal;

in an embodiment, comparing two adjacent APP active lists reported by each terminal to obtain an active APP corresponding to each terminal, specifically includes:

comparing whether the arrangement positions of the APPs in the two adjacent APP active lists in the list are changed or not; the two adjacent APP active lists refer to APP active lists which are reported last time and are reported this time when the terminal reports according to a preset rule, and if the terminal reports according to a preset time interval, the two adjacent APP active lists refer to two APP active lists which are adjacent in reporting time, that is, an active list reported before 3S and an active list reported this time are two adjacent active lists.

Determining the APP with changed arrangement positions or the APP always arranged at the first position as the active APP.

Step S202, a target APP and a reference APP are searched from the active APPs corresponding to the terminals, when the target APP is searched each time, the count value of the counter corresponding to the target APP is increased by 1, and when the reference APP is searched each time, the count value of the counter corresponding to the reference APP is increased by 1.

In the embodiment, two adjacent APP active lists reported by each terminal are compared, whether arrangement positions of APPs in the lists in the two adjacent APP active lists are changed or not is compared, the APP with the changed arrangement positions or the APP arranged at the first position all the time is determined to be the active APP, the counting values of counters of a target APP and a reference APP can be determined according to the active APPs of all the terminals, and the daily active user number of the target APP can be predicted according to the daily active user number of the known reference APP. In this way, the determined daily active number of target APPs is more accurate and the error rate is very small.

As shown in fig. 3, in one embodiment, preferably, the step S104 includes steps S301 to S303:

step S301, comparing a count value corresponding to a target APP with a count value corresponding to a reference APP to obtain a target ratio;

step S302, acquiring the number of daily active users of the reference APP; the actual daily active user number of the reference APP is a known quantity.

Step S303, determining the daily active user number of the target APP according to the product of the target ratio and the daily active user number of the reference APP.

In the embodiment, the daily active user number of the target APP is determined according to the product of the ratio of the count value of the target APP to the count value of the reference APP and the daily active user number of the reference APP, so that the determined daily active number of the target APP is more accurate and the error rate is very small.

As shown in fig. 4, in one embodiment, preferably, the step S101 includes a step S401:

step S401, an APP active list reported by each terminal according to a preset time period through a corresponding target SDK is obtained, and the target SDKs corresponding to different terminals are the same or different.

In one embodiment, each terminal selects a target SDK from at least one SDK according to a preset SDK selection rule.

Because the SDKs connected to different terminals are different, the SDKs reported by the terminals on the APP active list are also different. Specifically, each terminal reports by which SDK, and a target SDK may be selected from at least one SDK according to an SDK selection rule for reporting.

As shown in fig. 5, in one embodiment, the step S102 includes the step S501:

step S501, searching for called target APP and reference APP corresponding to each target SDK according to a plurality of APP active lists reported by each target SDK, and updating the count value of a counter corresponding to the target APP of the target SDK and the count value of a counter corresponding to the reference APP of the SDK according to the searching result;

the step S301 includes:

step S502, calculating the ratio of the count value of the counter of the target APP corresponding to each SDK to the count value of the counter of the reference APP;

step S503, taking median according to a plurality of ratios corresponding to the plurality of SDKs to obtain a target ratio.

In this embodiment, the ratio of the count value of the target APP reported by each SDK to the count value of the reference APP is calculated, and a median is taken for the ratios reported by the multiple SDKs, so that the sampling deviation of the SDKs can be eliminated, and the obtained ratio is more accurate and more in line with the actual situation.

In one embodiment, preferably, the step S102 includes the step S601:

step S601, searching for called target APPs and reference APPs according to a plurality of APP active lists reported by each terminal, and updating the count value of a counter corresponding to each target APP and the count value of a counter corresponding to the reference APP according to the search results corresponding to all terminals;

the step S301 includes:

step S602, comparing the count value corresponding to each target APP with the count value corresponding to the reference APP respectively to obtain a plurality of ratios;

step S603, taking the median of the multiple ratios to obtain a target ratio.

In this embodiment, can calculate the ratio of different target APP and reference APP to get the median to the ratio of different target APP and reference APP, thereby obtain the target ratio, like this, can eliminate APP's sampling deviation, make the ratio that obtains more accurate, accord with actual conditions more.

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method as in the first aspect or any embodiment of the first aspect.

Fig. 6 is a diagram showing only a part related to the embodiment of the present invention for convenience of description, and please refer to the method part of the embodiment of the present invention for details that are not disclosed.

Fig. 7 is a block diagram showing a partial structure of a computer device provided in an embodiment of the present invention. Referring to fig. 7, the computer apparatus includes: radio Frequency (RF) circuit 710, memory 720, input unit 730, display unit 740, sensor 750, audio circuit 760, wireless-fidelity (Wi-Fi) module 770, processor 780, and power supply 790. Those skilled in the art will appreciate that the computer architecture shown in FIG. 7 is not intended to be limiting of computers, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.

The following describes each component of the computer in detail with reference to fig. 7:

the RF circuit 710 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information of a base station and then processes the received downlink information to the processor 780; in addition, the data for designing uplink is transmitted to the base station. In general, the RF circuit 710 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 710 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to global system for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

The memory 720 may be used to store software programs and modules, and the processor 780 performs various functional applications of the computer and data processing by operating the software programs and modules stored in the memory 720. The memory 720 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the computer, etc. Further, the memory 720 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 730 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the computer. Specifically, the input unit 730 may include a touch panel 731 and other input devices 732. The touch panel 731, also referred to as a touch screen, can collect touch operations of a user (e.g. operations of the user on or near the touch panel 731 by using any suitable object or accessory such as a finger, a stylus, etc.) and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 731 may include two portions of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it to touch point coordinates, and sends the touch point coordinates to the processor 780, and can receive and execute commands from the processor 780. In addition, the touch panel 731 may be implemented by various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 730 may include other input devices 732 in addition to the touch panel 731. In particular, other input devices 732 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 740 may be used to display information input by a user or information provided to the user and various menus of the computer. The display unit 740 may include a display panel 741, and optionally, the display panel 741 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 731 can cover the display panel 741, and when the touch panel 731 detects a touch operation on or near the touch panel 731, the touch operation is transmitted to the processor 780 to determine the type of the touch event, and then the processor 780 provides a corresponding visual output on the display panel 741 according to the type of the touch event. Although in fig. 7, the touch panel 731 and the display panel 741 are two independent components to implement the input and output functions of the computer, in some embodiments, the touch panel 731 and the display panel 741 may be integrated to implement the input and output functions of the computer.

The computer may also include at least one sensor 750, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel 741 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 741 and/or a backlight when the computer is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing computer gestures (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer, tapping), and the like; as for the computer, other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor may be further configured, which are not described herein.

Audio circuitry 760, speaker 761, and microphone 762 may provide an audio interface between a user and a computer. The audio circuit 760 can transmit the electrical signal converted from the received audio data to the speaker 761, and the electrical signal is converted into a sound signal by the speaker 761 and output; on the other hand, the microphone 762 converts the collected sound signal into an electric signal, converts the electric signal into audio data after being received by the audio circuit 760, processes the audio data by the audio data output processor 780, and transmits the processed audio data to, for example, another computer through the RF circuit 710, or outputs the audio data to the memory 720 for further processing.

WiFi belongs to short-distance wireless transmission technology, and the computer can help a user to send and receive e-mails, browse webpages, access streaming media and the like through the WiFi module 770, and provides wireless broadband Internet access for the user. Although fig. 7 shows the WiFi module 770, it is understood that it does not belong to the essential constitution of the computer, and can be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 780 is a control center of the computer, connects various parts of the entire computer using various interfaces and lines, performs various functions of the computer and processes data by operating or executing software programs and/or modules stored in the memory 720 and calling data stored in the memory 720, thereby monitoring the entire computer. Optionally, processor 780 may include one or more processing units; preferably, the processor 780 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 780.

The computer also includes a power supply 790 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 780 via a power management system that may be used to manage charging, discharging, and power consumption.

Although not shown, the computer may further include a camera, a bluetooth module, etc., which will not be described herein.

In this embodiment of the present invention, the processor 780 included in the terminal further has the following functions:

acquiring the number of daily active users of the reference APP;

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.

It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by hardware that is instructed to implement by a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

While the invention has been described in detail with reference to specific embodiments thereof, it will be apparent to one skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention.

Claims

1. A method for predicting the number of daily active users of a target APP is characterized by comprising the following steps:

acquiring the number of daily active users of the reference APP;

2. The method for predicting the number of daily active users of target APPs according to claim 1, wherein the searching for the called target APP and the reference APP according to the APP active lists, updating the count value of the counter corresponding to the target APP according to the search result of each target APP, and updating the count value of the counter corresponding to the reference APP according to the search result of the reference APP includes:

and searching the target APP and the reference APP from the active APPs corresponding to the terminals, adding 1 to the count value of the counter corresponding to the target APP when the target APP is searched each time, and adding 1 to the count value of the counter corresponding to the reference APP when the reference APP is searched each time.

3. The method for predicting the number of daily active users of a target APP as claimed in claim 2, wherein the comparing the two adjacent APP active lists reported by each terminal to obtain an active APP corresponding to each terminal comprises:

comparing whether the arrangement position of each APP in the two adjacent APP active lists in the list is changed or not;

4. The method for predicting the number of daily active users of a target APP as claimed in claim 1, wherein the predicting the number of daily active users of the target APP by referring to the count value of the counter corresponding to the target APP and the number of daily active users of the APP according to the count value of the counter corresponding to the target APP comprises:

acquiring the number of daily active users of the reference APP;

5. The method for predicting the number of daily active users of a target APP as claimed in claim 4, wherein said obtaining a plurality of APP active lists reported by each terminal according to a predetermined rule includes:

6. The method for predicting the number of daily active users of a target APP, according to claim 5, wherein each terminal selects the target SDK from at least one SDK according to a preset SDK selection rule.

7. The method for predicting the number of daily active users of target APPs according to claim 5, wherein the searching for the called target APP and the reference APP according to the APP active lists, updating the count value of the counter corresponding to the target APP according to the search result of each target APP, and updating the count value of the counter corresponding to the reference APP according to the search result of the reference APP includes:

searching for called target APP and reference APP corresponding to each target SDK according to a plurality of APP active lists reported by each target SDK, and updating the count value of a counter corresponding to the target APP of the target SDK and the count value of a counter corresponding to the reference APP of the target SDK according to the searching result;

calculating the ratio of the count value of the counter of the target APP corresponding to each target SDK to the count value of the counter of the reference APP;

and taking a median according to a plurality of ratios corresponding to the target SDKs to obtain the target ratio.

8. The method for predicting the number of daily active users of target APPs according to claim 4, wherein the searching for the called target APP and the reference APP according to the APP active lists, updating the count value of the counter corresponding to the target APP according to the search result of each target APP, and updating the count value of the counter corresponding to the reference APP according to the search result of the reference APP includes:

and taking the median of the multiple ratios to obtain the target ratio.

9. A computer device, comprising:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of any of claims 1-8.

10. A computer-readable storage medium having stored therein an application program configured to perform the method of any of claims 1 to 8.