WO2020147007A1

WO2020147007A1 - Information pushing method and related product

Info

Publication number: WO2020147007A1
Application number: PCT/CN2019/071784
Authority: WO
Inventors: 陈景远
Original assignee: 深圳市欢太科技有限公司; Oppo广东移动通信有限公司
Priority date: 2019-01-15
Filing date: 2019-01-15
Publication date: 2020-07-23
Also published as: CN113016169A

Abstract

Embodiments of the present application disclose an information pushing method and a related product. The method comprises: obtaining use logs of M applications in an electronic device; determining, according to the use logs, N target applications each having the priority greater than or equal to a preset priority in the M applications and N target time periods corresponding to the N target applications; and pushing an advertisement to each target application in the N target applications in each target time period in the N target time periods. Therefore, applications frequently used by a user and target time periods can be determined by means of use logs of applications in an electronic device, and an advertisement is then pushed to corresponding target applications in each target time period, so that the advertisement can be pushed according to an application use habit of the user, thereby enabling more intelligent and personalized advertisement pushing.

Description

Information push methods and related products

Technical field

This application relates to the field of electronic technology, in particular to an information push method and related products.

Background technique

With the widespread application of electronic devices (such as mobile phones, tablet computers, etc.), more and more applications can be supported by electronic devices, and their functions are becoming more and more powerful. Electronic devices are developing in a diversified and personalized direction and become the life of users. Indispensable electronic supplies.

At present, advertisements on electronic devices are all pushed to specific applications. Users often install specific applications before they learn the content of advertisements. Users have different habits of using applications, and the effects of pushing advertisements through various applications are also different. For example, For the same application advertisement, some users often use it, they will often see the advertisement, and some users use it infrequently, they have less chance to see the advertisement, which will affect the effect of the advertisement. Therefore, how to pass it more intelligently The problem of app push ads needs to be solved urgently.

Summary of the invention

The embodiments of the present application provide an information push method and related products, which can push advertisements to the application more intelligently according to the user's usage habits of using the application.

In the first aspect, an embodiment of the present application provides an information push method applied to an electronic device, and the method includes:

Obtaining usage records of M applications in the electronic device, where M is a positive integer;

According to the usage record, it is determined that N target applications with a priority greater than or equal to a preset priority among the M applications and N target time periods corresponding to the N target applications, the N target applications and the N target time periods correspond one to one, and N is a positive integer not greater than M;

Pushing an advertisement to each of the N target applications in each target time period of the N target time periods.

In the second aspect, an embodiment of the present application provides an information pushing device, which is applied to an electronic device, and the information pushing device includes:

An acquiring unit, configured to acquire usage records of M applications in the electronic device, where M is a positive integer;

The determining unit is configured to determine, according to the usage record, N target applications with a priority greater than or equal to a preset priority among the M applications and N target time periods corresponding to the N target applications, the N The target application corresponds to the N target time periods one-to-one, and N is a positive integer not greater than M;

The pushing unit is configured to push advertisements to each of the N target applications in each target time period of the N target time periods.

In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured by Executed by the processor, and the foregoing program includes instructions for executing the steps in the first aspect of the embodiments of the present application.

According to a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes the computer to execute the first embodiment of the present application. Part or all of the steps described in one aspect.

In a fifth aspect, the embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute Example part or all of the steps described in the first aspect. The computer program product may be a software installation package.

It can be seen that the information push method and related products described in the embodiments of this application obtain the use records of M applications in the electronic device, and determine the priority N of the M applications that are greater than or equal to the preset priority based on the use records. N target applications and N target time periods corresponding to the N target applications. In the N target time periods, each target time period pushes advertisements to each of the N target applications. In this way, the Use the record to determine the applications frequently used by the user and the target time period, and then push advertisements to the corresponding target application in each target time period, so that the advertisement can be pushed according to the user's application habits, thereby making the advertisement push more intelligent and personalise.

BRIEF DESCRIPTION

The drawings needed to be used in the embodiments or the description of the prior art will be briefly introduced below.

In order to more clearly explain the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings required in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, without paying any creative labor, other drawings can also be obtained based on these drawings.

1A is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 1B is a schematic flowchart of an information push method disclosed in an embodiment of the present application;

FIG. 2 is a schematic flowchart of another information pushing method disclosed in an embodiment of the present application;

FIG. 3 is a schematic flowchart of another information pushing method disclosed in an embodiment of the present application;

4 is a schematic structural diagram of another electronic device disclosed in an embodiment of the present application;

5A is a schematic structural diagram of an information push device disclosed in an embodiment of the present application;

FIG. 5B is a schematic structural diagram of a modified structure of the information pushing device described in FIG. 5A in an embodiment of the present application.

detailed description

In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of the present application.

The terms “first” and “second” in the description and claims of the present application and the above drawings are used to distinguish different objects, not to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally also includes Other steps or units inherent to these processes, methods, products or equipment.

Reference herein to "embodiments" means that specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art understand explicitly and implicitly that the embodiments described herein can be combined with other embodiments.

The electronic devices involved in the embodiments of the present application may include various handheld devices with wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, and various forms of user equipment (user equipment, UE), mobile station (MS), terminal device, etc. For convenience of description, the devices mentioned above are collectively referred to as electronic devices. The following describes the embodiments of the application in detail.

Please refer to FIG. 1A. FIG. 1A is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application. The electronic device 100 may include a control circuit, and the control circuit may include a storage and processing circuit 110. The storage and processing circuit 110 may be a memory, such as a hard disk drive memory, a non-volatile memory (such as flash memory or other electronically programmable read-only memory used to form a solid-state drive, etc.), a volatile memory (such as static or dynamic random access memory) Take memory, etc.), etc., the embodiments of the present application are not limited. The processing circuit in the storage and processing circuit 110 may be used to control the operation of the electronic device 100. The processing circuit can be implemented based on one or more microprocessors, microcontrollers, digital master-slave headset switching controllers, baseband processors, power management units, audio codec chips, dedicated integrated circuits, display driver integrated circuits, etc. .

The storage and processing circuit 110 can be used to run software in the electronic device 100, such as Internet browsing applications, voice over internet protocol (VOIP) phone call applications, email applications, media playback applications, and operating system functions Wait. These software can be used to perform some control operations, for example, camera-based image capture, ambient light measurement based on ambient light sensors, proximity sensor measurement based on proximity sensors, and information based on status indicators such as the status indicator of light-emitting diodes. Display functions, touch event detection based on touch sensors, functions associated with displaying information on multiple (eg layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals , The control operations associated with the collection and processing of button press event data, and other functions in the electronic device 100, are not limited in the embodiment of the present application.

The electronic device 100 may also include an input-output circuit 150. The input-output circuit 150 may be used to enable the electronic device 100 to realize input and output of data, that is, to allow the electronic device 100 to receive data from an external device and also allow the electronic device 100 to output data from the electronic device 100 to an external device. The input-output circuit 150 may further include a sensor 170. The sensor 170 may include an ambient light sensor, a proximity sensor based on light and capacitance, and a touch sensor (for example, a light-based touch sensor and/or a capacitive touch sensor, where the touch sensor may be part of a touch display screen or may be used as a The touch sensor structure is used independently), acceleration sensor, gravity sensor, and other sensors.

The input-output circuit 150 may also include one or more displays, such as display 130. The display 130 may include one or a combination of a liquid crystal display, an organic light emitting diode display, an electronic ink display, a plasma display, and a display using other display technologies. The display 130 may include a touch sensor array (ie, the display 130 may be a touch display screen). The touch sensor can be a capacitive touch sensor formed by an array of transparent touch sensor electrodes (such as indium tin oxide (ITO) electrodes), or can be a touch sensor formed using other touch technologies, such as sonic touch, pressure-sensitive touch, and resistance Touch, optical touch, etc., are not limited in the embodiment of the present application.

The audio component 140 may be used to provide audio input and output functions for the electronic device 100. The audio component 140 in the electronic device 100 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.

The communication circuit 120 may be used to provide the electronic device 100 with the ability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuit in the communication circuit 120 may include a radio frequency transceiver circuit, a power amplifier circuit, a low noise amplifier, a switch, a filter, and an antenna. For example, the wireless communication circuit in the communication circuit 120 may include a circuit for supporting near field communication (NFC) by transmitting and receiving near-field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communication circuit 120 may also include a cellular phone transceiver and antenna, a wireless local area network transceiver circuit and antenna, and so on.

The electronic device 100 may further include a battery, a power management circuit, and other input-output units 160. The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes, other status indicators, and the like.

The user can control the operation of the electronic device 100 by inputting commands through the input-output circuit 150, and can use the output data of the input-output circuit 150 to realize receiving status information and other outputs from the electronic device 100.

Please refer to FIG. 1B. FIG. 1B is a schematic flowchart of an information pushing method provided by an embodiment of the present application. The information pushing method described in this embodiment is applied to the electronic device shown in FIG. 1A, and the information pushing method includes:

101. Acquire usage records of M applications in an electronic device, where M is a positive integer.

Among them, M applications may include at least one of the following applications: payment applications, chat applications, mail applications, ride applications, navigation applications, reading applications, video playback applications, music playback applications, learning applications, such as English learning applications, professional exams Learning apps, shopping apps, fitness apps, express apps, work apps, etc., are not limited here.

Among them, the usage record can include the start time, end time, usage duration, and browsing content of each application in the M applications, and can also include the functions used by the target application, operation records, etc., specifically, payment The usage record corresponding to the application can include the start time, end time, and duration of each use of the payment application, as well as the start time, end time, and duration of payment when the payment application is used for payment operations, such as , The user uses the payment application to make payment in the three time periods of 8:10-:8:18, 12:05-12:16, and 19:00-19:10 on xx, xx, xx, xx, and the usage record of the shopping application It can include purchased product information, shopping start time, shopping end time, shopping duration, etc. The usage record corresponding to the reading application can include daily reading content, reading progress, reading start time, reading end time, reading time, etc. , Reading progress can include the number of pages read, chapters read, words read, etc., and the usage record corresponding to the learning application can include course learning progress, learning start time, learning end time, learning time, etc. In the embodiment of the present application, the usage record of the above M applications in the electronic device can be obtained, and the usage record of each application can reflect the user's usage habits.

Optionally, the aforementioned usage records may be all usage records of the M applications used, or usage records within a specific time period, such as the most recent month, the most recent six months, or the most recent three months. .

102. Determine, according to the usage record, N target applications with a priority greater than or equal to a preset priority among the M applications and N target time periods corresponding to the N target applications, and the N target applications and The N target time periods correspond one-to-one, and N is a positive integer not greater than M.

Among them, the priority of each of the M applications can be determined first, and then the N target applications with a priority greater than the preset priority can be determined. For any application in the M music, if the corresponding priority of the application is greater than the preset priority Priority, the application can be determined as the target application.

Among the M applications, the application with the higher priority can be the application with the higher frequency of user usage. In specific implementation, the usage frequency of each application can be determined according to the usage record, and then according to the preset usage frequency and priority. The correspondence relationship between determines the priority corresponding to the frequency of use of each application. Optionally, the application with the higher priority may also be the application with higher evaluation. In specific implementation, each application of M applications can be obtained The corresponding evaluation value, and then the priority corresponding to the evaluation value corresponding to each application is determined according to the corresponding relationship between the evaluation value and the priority.

Optionally, in the foregoing step 102, determining N target applications with a priority greater than or equal to a preset priority among the M applications according to the usage record may include the following steps:

21. Analyze the usage records to obtain the average daily usage times and average daily usage duration of each of the M applications, and obtain the average daily usage times and average daily usage duration of the M groups;

22. Determine the priority of the corresponding application according to the average daily usage times and average daily usage duration of each group in the M groups, and obtain M priority levels;

23. Determine the N target applications corresponding to the N target priorities of the M priorities that are greater than or equal to the preset priority.

Wherein, the usage records are analyzed to obtain the average daily usage times of each application in the M applications. The total usage times of each application used by the user during the preset time period can be determined first, and then the total usage times of each application can be determined according to the preset time period and total The number of uses determines the average daily use times of each application, where the preset time period can be, for example, half a year, one year, etc.; the use records are analyzed to obtain the average daily use time of each of the M applications. First determine the total usage time of each application used by the user in the preset time period, then determine the average daily usage time of each application according to the preset time period and total usage time, and then according to the average daily usage times and daily average of each application The duration of use determines the priority of the application, and furthermore, M priorities corresponding to the M applications can be determined.

Optionally, in the above step 22, the priority of the corresponding application is determined according to the average daily usage times and average daily usage duration of each group in the M groups of average daily usage times and average daily usage duration, and M priority levels are obtained. Perform the following steps for the average daily use times and average daily use duration of each group in the M groups:

A1. Determine the first score value corresponding to each group of daily average usage times according to the preset first correspondence between the number of uses and the score value;

A2. Determine the second score value corresponding to each group of daily average usage time according to the preset second correspondence between the usage time and the score value;

A3. Obtain a first weight corresponding to the number of times of use, and a second value corresponding to the length of use;

A4. Determine the target corresponding to the average daily use times and average daily use time of each group according to the average daily use times, average daily use time, the first weight and the second weight. Points;

A5. Determine the priority corresponding to the target score value according to the preset third correspondence between the score value and the priority.

Wherein, the electronic device may pre-store a first correspondence relationship between the number of uses and the score value and a second correspondence relationship between the use duration and the score value. Furthermore, the first score value corresponding to each group of average daily usage times can be determined according to the first correspondence, and the second score value corresponding to each group of average daily usage time can be determined according to the second correspondence. In the electronic device The first weight corresponding to the number of uses and the second weight corresponding to the duration of use can also be pre-stored. The sum of the first weight and the second weight is 1. Furthermore, it can be based on the average number of uses per day and the average duration of use per day. , The first weight value and the second weight value are weighted to obtain the target score value corresponding to each target application. Specifically, the target score value can be obtained according to the following formula: target score value = average daily usage times * One weight + average daily use time * second weight.

Optionally, in the foregoing step 102, determining the N target time periods corresponding to the N target applications according to the usage record may include the following steps:

24. Determine, according to the usage record, at least one time period corresponding to each of the N target applications, and each time period in the at least one time period is a time period during which the target application has been used;

25. Determine the target time period with the most occurrences in at least one time period corresponding to each of the N target applications, and obtain N target time periods.

Among them, at least one period of time each target application is used every day can be determined according to the time each target application is used in the usage record. For the record of each target application used every day, it can be determined according to each target application. The start time, end time, and duration of each use of the application on the day determine the time period corresponding to each use. For example, if the user uses the first target application from 8:10-:8:18, the corresponding use can be determined The time period is 8:00-8:59. If the first target application is used multiple times in a certain day, multiple sets of start time, end time, and duration of use corresponding to the user’s multiple use of the target application are determined. Time period, and further, all time periods corresponding to all usage times in multiple days can be determined, and at least one time period is obtained, as shown in Table 1 below, which determines the first target application at least one time period according to user usage records in this embodiment of the application Example:

Among them, the first target application is any one of the N target applications. D1, D2, D3... represent the date. The above table shows the record of the first application’s use on multiple dates for each day, and each use The record can correspond to a time period.

Further, the target time period with the most occurrences in at least one time period corresponding to each target application can be determined. For example, the time period 6:00-6:59 and the time period 7:00-7:59 in the above table can be determined respectively. The number of occurrences of the period, 8:00-8:59 time period, 11:38-11:50 time period and 12:00-12:59 respectively, and then determine the target time period with the highest number of occurrences in each of the above time periods, Thus, N target time periods corresponding to N target applications can be determined.

103. Push an advertisement to each target application of the N target applications in each target time period of the N target time periods.

Wherein, the aforementioned advertisements may include at least one of the following: such as shopping advertisements, game advertisements, application recommendation advertisements, etc., specifically, may include the following types of advertisements: splash screen advertisements, banner (banner) advertisements, interstitial advertisements, native advertisements, Rewarded ads, etc., among them, splash screen ads are a form of advertising that is loaded when the application is opened, and automatically closes after displaying and enters the main page of the application. Banner ads are controls composed of images and text, and are displayed at the top of the application page. , Middle or bottom, but horizontally across the entire or most of the app page. Interstitial ads pop up in half screen or full screen when the app is opened, paused, or exited. The display timing is cleverly avoiding the user’s normal experience of the app Native ads are ads that are deliberately modified after combining platform features, users and visual experience, and content environment. They are natural and imperceptible. Incentive ads refer to interactive ads that motivate audiences to obtain lasting returns. For example, in the process of using the target application, after seeing the advertisement displayed on the application page, if the user is interested in the content corresponding to the advertisement, he can click the control key or window in the advertisement to enter the interface corresponding to the advertisement.

Among them, each target time period in the N target time periods pushes advertisements to each target application of the N target applications. For each target application, advertisements can be pushed to the target application during the target time period corresponding to the target application, for example, , If the first target time period corresponds to the first target application, the second target time period corresponds to the second target application, and the first target time period is earlier than the second target time period, the first target time period can be The target application pushes the advertisement, and the advertisement is pushed to the second target application during the second target time period. In this way, when the user uses the first target application in the first target time period and the second target application in the second target time period, they can all watch the advertisements mentioned above, so that they can apply to the N target applications more intelligently. Push ads.

Optionally, the advertisement includes a shopping advertisement. In step 103, pushing an advertisement to a corresponding target application in each target time period in the N target time periods may include the following steps:

31. Determine at least one target commodity according to the browsing record of the target object in the usage record;

32. Determine the target price range corresponding to each target product in the at least one target product, and obtain at least one target price range;

33. According to each target price range in the at least one target price range, push shopping advertisements of the target product corresponding to the target price range to the corresponding target application in each target time period of the N target time periods.

Among them, when the user uses the application in the electronic device, the browsed application page will contain the content of the shopping product. According to the browsing record of the target object in the usage record, at least one product browsed by the user can be determined. The browsing duration of the application page corresponding to each commodity determines at least one target commodity whose browsing duration exceeds the preset browsing duration.

Among them, for each target product in at least one target product, the price range corresponding to each target product can be determined according to the price range corresponding to each target product, and then an advertisement of the target product within the target price range can be pushed to the corresponding target application during each target time period, such as target product For apparel A, if it is determined that the target price range corresponding to apparel A is 500-1000 yuan, the target application corresponding to the target time period can be pushed to the target application corresponding to the target time period. advertising.

Optionally, in the foregoing step 32, pushing an advertisement to a corresponding target application in each target time period of the N target time periods may include the following steps:

B1. Determine the target purchasing power level of the target object according to the shopping record of the target object in the usage record;

B2. Determine the correspondence table corresponding to each target commodity in the at least one target commodity, and obtain at least one correspondence table, where each correspondence table in the at least one correspondence table is the correspondence between the purchasing power level and the price range relationship;

B3. Determine a target price range corresponding to the target purchasing power level for each target product in the at least one target product according to the at least one correspondence table, to obtain at least one target price range.

Among them, the target object can be a user who has registered an account in a shopping application, and the target purchasing power level of the target object can be determined according to the shopping record of the target object in the usage record. Specifically, the target object's target can be determined according to the shopping record of the target object in the usage record. Purchasing power level, you can determine multiple prices for the target object to purchase multiple commodities based on multiple shopping records in the usage record, and then determine the purchasing power level corresponding to each price in the multiple prices, obtain multiple purchasing power levels, and then determine multiple purchasing power levels The target purchasing power level with the most occurrences in.

Optionally, the advertisement includes a game advertisement. In the above step 103, pushing an advertisement to each of the N target applications in each target time period of the N target time periods may include the following steps:

34. Analyze the usage record to obtain at least one target keyword of the target object;

35. Determine the target game set between each target keyword in the at least one target keyword according to the preset correspondence between the keyword and the game set to obtain at least one target game set, and the at least one target Each target game set in the game set contains multiple games;

36. Push a game advertisement of at least one target game set to each target application of the N target applications in each target time period of the N target time periods.

Among them, the above-mentioned target keywords may be keywords related to the user's behavioral characteristics and hobbies. During the user's use of the electronic device, the user's habit of using the electronic device can determine the target keywords related to the user's behavioral characteristics and hobbies . In addition, in this embodiment of the application, the correspondence between keywords and game sets can be preset, and then it can be determined that each target keyword in the at least one target keyword corresponds to the target game set, and finally, apply to N targets Each target application in each target application pushes at least one game advertisement of the target game set, so that when the user uses the corresponding target application in each target time period, the game advertisement of the above at least one target game set can be pushed to the user, so that the game advertisement is pushed More intelligent and personalized.

Optionally, in the above step 36, pushing at least one game advertisement of the target game set to the corresponding target application in each target time period of the N target time periods may include the following steps:

C1. Determine the target game set corresponding to each of the N target time periods in the at least one target game set;

C2. Push the game advertisement of the target game set corresponding to each target time period to each target application of the N target applications in each target time period of the N target time periods.

Wherein, the target game set corresponding to each of the N target time periods in at least one target game set is determined, considering that the at least one target keyword is determined based on the usage record of the application in the electronic device. Therefore, First determine at least one target keyword to determine the target application corresponding to each target keyword. Specifically, for each target keyword, the degree of association between each target keyword and each of the N target applications can be determined to obtain N relevance degrees, and then determine the target application corresponding to the largest relevance degree among the N relevance degrees, and then determine the target game set of the target keywords corresponding to each target time period.

Optionally, in this embodiment of the present application, after each target time period of the N target time periods pushes an advertisement to each of the N target applications, the following steps may be further included:

D1. Determine the target application pages whose browsing frequency is higher than the preset frequency in each of the N target applications, and obtain N target application pages;

D2. Display an advertisement of each target application of the N target applications through each target application page of the N target application pages.

Among them, determine the target application pages in each target application with a browsing frequency higher than the preset frequency in each of the N target applications, and determine the browsing pages in each target application with browsing history, and then obtain each target within the preset time period The number of times each browsed page in the application is viewed, and then the browse frequency corresponding to each browsed page is determined according to the number of times each browsed page is browsed. Finally, the target application page of each target application whose browse frequency is higher than the preset frequency can be determined In the embodiment of the present application, by displaying advertisements on the target application page corresponding to each target application, the probability of users viewing the advertisement can be increased, the effect of the advertisement is better, and the intelligence of advertisement push can be improved.

It can be seen that the information push method described in the embodiments of the present application obtains the usage records of M applications in the electronic device, and determines N target applications of the M applications whose priority is greater than or equal to the preset priority according to the usage records. And N target time periods corresponding to the N target applications, and each target time period in the N target time periods pushes advertisements to each of the N target applications. In this way, it can be determined by the usage record of the application in the electronic device Users frequently use applications and target time periods, and then push advertisements to the corresponding target applications in each target time period, so that advertisements can be pushed according to the user's habits of using applications, thereby making the push of advertisements more intelligent and personalized.

Consistent with the above, please refer to FIG. 2. FIG. 2 is a schematic flowchart of another information pushing method provided by an embodiment of the present application. The information pushing method described in this embodiment is applied to an electronic device. The method may include the following step:

201. Obtain usage records of M applications in an electronic device, where M is a positive integer.

202. Analyze the usage records to obtain the average daily usage times and average daily usage duration of each application in the M applications, and obtain the M groups of daily average usage times and daily average usage duration.

203. Determine the priority of the corresponding application according to the average daily use times and average daily use duration of each group in the M groups of daily use times and average daily use duration, and obtain M priority levels.

204. Determine N target applications corresponding to the N target priorities of the M priority levels that are greater than or equal to the preset priority level.

205. Determine, according to the usage record, at least one time period corresponding to each of the N target applications, and each time period in the at least one time period is a time period during which the target application has been used.

206. Determine the target time period with the most occurrences in at least one time period corresponding to each of the N target applications, and obtain N target time periods.

207. Push an advertisement to each target application of the N target applications in each target time period of the N target time periods.

For the specific implementation process of the above steps 201-207, reference may be made to the corresponding description in the method shown in FIG. 1B, which will not be repeated here.

It can be seen that the information push method described in the embodiments of this application obtains the usage records of M applications in the electronic device and analyzes the usage records to obtain the average daily usage times and average daily usage duration of each application. Each group of daily use times and daily use time determines the priority of the corresponding application, determines the N target applications corresponding to the N target priorities with a priority greater than or equal to the preset priority, and determines the N target applications according to the use record At least one time period corresponding to each application in each of the N target applications is determined, and the target time period with the most occurrences in at least one time period corresponding to each application in the N target applications is obtained, and N target time periods are obtained. Each target application in each target application pushes advertisements. In this way, the user’s frequently used applications and the target time period can be determined through the use of records, and then the advertisements are pushed to the corresponding target application during each target time period, thereby making the advertisement push more Intelligent and personalized.

Consistent with the above, please refer to FIG. 3, which is a schematic flowchart of an embodiment of another information pushing method provided by an embodiment of this application. The information pushing method described in this embodiment is applied to the electronic device as shown in FIG. 1A. The method may include the following steps:

301. Obtain usage records of M applications in an electronic device, where M is a positive integer.

302. Analyze the usage records to obtain the average daily usage times and average daily usage duration of each application in the M applications, and obtain the M groups of daily average usage times and daily average usage duration.

303. Determine the priority of the corresponding application according to the average daily usage times and average daily usage duration of each group in the M groups of average daily usage times and average daily usage duration, and obtain M priority levels.

304. Determine N target applications corresponding to the N target priorities of the M priority levels that are greater than or equal to the preset priority level.

305. Determine, according to the usage record, at least one time period corresponding to each of the N target applications, and each time period in the at least one time period is a time period in which the target application has been used.

306. Determine the target time period with the largest number of occurrences in at least one time period corresponding to each of the N target applications, and obtain N target time periods.

307. Push an advertisement to each of the N target applications in each target time period of the N target time periods.

308. Determine a target application page whose browsing frequency is higher than a preset frequency in each of the N target applications, and obtain N target application pages.

309. Display an advertisement of each target application of the N target applications through each target application page of the N target application pages.

For the specific implementation process of the foregoing steps 301-309, reference may be made to the corresponding description in the method shown in FIG. 1B, which is not repeated here.

The information push method described in the embodiments of this application obtains the usage records of M applications in the electronic device, analyzes the usage records, and obtains the average daily usage times and daily usage duration of each application, according to each group of days The average use times and the average daily use time determine the priority of the corresponding application, determine the N target applications corresponding to the N target priorities with a priority greater than or equal to the preset priority, and determine each application of the N target applications according to the use record Corresponding to at least one time period, determine the target time period with the most occurrences in at least one time period corresponding to each of the N target applications, and obtain N target time periods, each of the N target time periods Push advertisements to each of the N target applications, determine the target application pages in each of the N target applications whose browsing frequency is higher than the preset frequency, obtain N target application pages, and pass through the N target application pages Each target application page displays advertisements for each of the N target applications. In this way, the advertisements can be pushed according to the user's application habits. By displaying advertisements on the target application page corresponding to each target application, it can increase The probability that the user sees the advertisement makes the effect of the advertisement better, thereby making the push of the advertisement more intelligent and personalized.

Consistent with the above, please refer to FIG. 4, which is an electronic device provided by an embodiment of the present application, including: a processor and a memory; and one or more programs, the one or more programs are stored in the In the memory and configured to be executed by the processor, the program includes instructions for performing the following steps:

In a possible example, in the aspect of determining N target applications with a priority greater than or equal to a preset priority among the M applications according to the usage record, the program includes instructions for executing the following steps:

Analyze the usage records to obtain the average daily usage times and average daily usage duration of each of the M applications, and obtain the average daily usage times and average daily usage duration of the M group; according to the average daily usage of the M group In the number of times and the average daily use time, each group of the average daily use times and the average daily use time determines the priority of the corresponding application, and obtains M priorities; determining that the priority of the M priorities is greater than or equal to the preset priority N target applications corresponding to the N target priority levels.

In a possible example, the priority of the corresponding application is determined according to the average daily usage times and average daily usage duration of each group in the M groups of average daily usage times and average daily usage duration, and M priority levels are obtained , The program includes instructions for executing the following steps:

Perform the following steps for the average daily use times and average daily use duration of each group in the M groups:

Determine the first score value corresponding to the average daily usage times of each group according to the first correspondence between the preset usage times and the score value; according to the first score value between the preset usage duration and the score value The second correspondence relationship determines the second score value corresponding to the average daily usage time of each group; obtains the first weight value corresponding to the number of usage times and the second value corresponding to the usage time length; The average daily usage times, average daily usage duration, the first weight and the second weight of each group determine the target score value corresponding to the average daily usage times and daily average usage duration of each group; The third correspondence between the preset score value and the priority determines the priority corresponding to the target score value.

In a possible example, in terms of determining the N target time periods corresponding to the N target applications according to the usage record, the program includes instructions for executing the following steps:

Determine, according to the usage record, at least one time period corresponding to each of the N target applications, and each time period in the at least one time period is the time period during which the target application has been used; determine the N The target time period with the most occurrences in at least one time period corresponding to each application in each target application obtains N target time periods.

In a possible example, the advertisement includes a shopping advertisement, and in terms of pushing an advertisement to a corresponding target application in each target time period of the N target time periods, the program includes instructions for executing the following steps:

Determine at least one target product according to the browsing record of the target object in the usage record; determine the target price range corresponding to each target product in the at least one target product to obtain at least one target price range; according to the at least one target price range For each target price range in each of the N target time periods, in each target time period of the N target time periods, a shopping advertisement of a target product corresponding to the target price range is pushed to a corresponding target application.

In a possible example, in terms of determining the target price interval corresponding to each target commodity in the at least one target commodity to obtain at least one target price interval, the program includes instructions for executing the following steps:

Determine the target purchasing power level of the target object according to the shopping record of the target object in the usage record; determine the corresponding relationship table corresponding to each target product in the at least one target product to obtain at least one corresponding relationship table, the at least one corresponding relationship Each correspondence table in the table is the correspondence relationship between the purchasing power level and the price range; according to the at least one correspondence table, the target price range corresponding to each target product in the at least one target product and the target purchasing power level is determined , Get at least one target price range.

In a possible example, the advertisement includes a game advertisement, and in terms of pushing advertisements to each of the N target applications in each target time period in the N target time periods, the program includes: Follow the instructions for the following steps:

Analyze the usage record to obtain at least one target keyword of the target object; according to the corresponding relationship between the preset keyword and the game set, determine the difference between each target keyword in the at least one target keyword A target game set to obtain at least one target game set, each target game set in the at least one target game set includes multiple games; each target time period in the N target time periods is directed to the N targets Each target application in the application pushes at least one game advertisement of the target game set.

In a possible example, in terms of pushing game advertisements of at least one target game set to the corresponding target application in each target time period of the N target time periods, the program includes instructions for executing the following steps:

Determine the target game set corresponding to each target time period in the N target time periods in the at least one target game set; apply to the N targets in each target time period in the N target time periods Each target application in each target application pushes the game advertisement of the target game set corresponding to each target time period.

In a possible example, after each target time period of the N target time periods pushes an advertisement to each of the N target applications, the program further includes instructions for performing the following steps:

Determine the target application pages whose browsing frequency is higher than the preset frequency in each of the N target applications to obtain N target application pages; display the N target application pages through each target application page of the N target application pages Ads for each target application in each target application.

Please refer to FIG. 5A. FIG. 5A is a schematic structural diagram of an information pushing device provided in this embodiment. The information pushing device is applied to the electronic equipment as shown in Fig. 1A. The information pushing device includes an acquiring unit 501, a determining unit 502, and a pushing unit 503, wherein:

The acquiring unit 501 is configured to acquire usage records of M applications in the electronic device, where M is a positive integer;

The determining unit 502 is configured to determine, according to the usage record, N target applications with a priority greater than or equal to a preset priority among the M applications and N target time periods corresponding to the N target applications, so The N target applications have a one-to-one correspondence with the N target time periods, and N is a positive integer not greater than M;

The pushing unit 503 is configured to push advertisements to each of the N target applications in each target time period of the N target time periods.

In terms of determining the N target applications with a priority greater than or equal to a preset priority among the M applications according to the usage record, the determining unit 502 is specifically configured to:

Optionally, in the aspect of determining the priority of the corresponding application according to the average daily usage times and average daily usage duration of each group in the M groups of average daily usage times and average daily usage duration to obtain M priority levels, The determining unit 502 is specifically configured to:

Optionally, in the aspect of determining the N target time periods corresponding to the N target applications according to the usage record, the determining unit 502 is specifically configured to:

Optionally, the advertisements include shopping advertisements, and in terms of pushing advertisements to corresponding target applications in each target time period of the N target time periods, the pushing unit 503 is specifically configured to:

Optionally, in the aspect of determining the target price range corresponding to each target product in the at least one target product to obtain at least one target price range, the pushing unit 503 is specifically configured to:

Optionally, the advertisements include game advertisements. In terms of pushing advertisements to each of the N target applications in each target time period of the N target time periods, the pushing unit 503 is specifically configured to:

Optionally, in terms of pushing game advertisements of at least one target game set to the corresponding target application in each target time period of the N target time periods, the pushing unit 503 is specifically configured to:

Optionally, as shown in FIG. 5B, FIG. 5B is a modified structure of the information pushing device described in FIG. 5A of the embodiment of the application. Compared with FIG. 5A, it may further include: a display unit 504, which is specifically as follows:

The determining unit 502 is further configured to determine the target application pages whose browsing frequency is higher than the preset frequency in each of the N target applications to obtain N target application pages; the display unit 504 is configured to pass Each target application page of the N target application pages displays an advertisement of each target application of the N target applications.

It can be seen that the information push device described in the embodiment of the present application obtains the use records of M applications in the electronic device, and determines N target applications of the M applications whose priority is greater than or equal to the preset priority according to the use records. And N target time periods corresponding to the N target applications, and each target time period in the N target time periods pushes advertisements to each of the N target applications. In this way, it can be determined by the usage record of the application in the electronic device Users frequently use applications and target time periods, and then push advertisements to the corresponding target applications in each target time period, so that advertisements can be pushed according to the user's habits of using applications, thereby making the push of advertisements more intelligent and personalized.

It is understandable that the functions of each program module of the information pushing device of this embodiment can be specifically implemented according to the method in the above method embodiment, and the specific implementation process can refer to the relevant description of the above method embodiment, which will not be repeated here.

An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute any part of the information push method recorded in the above method embodiment Or all steps.

The embodiments of the present application also provide a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the method described in the foregoing method embodiment Part or all of the steps of any information push method.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the sequence of actions described. Because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the above embodiments, the description of each embodiment has its own emphasis. For a part that is not detailed in an embodiment, you can refer to the related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device may be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or may Integration into another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or software program modules.

If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it may be stored in a computer-readable memory. Based on such an understanding, the technical solution of the present application may essentially be a part that contributes to the existing technology or all or part of the technical solution may be embodied in the form of a software product, and the computer software product is stored in a memory, Several instructions are included to enable a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. The foregoing memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, magnetic disk, or optical disk and other media that can store program codes.

A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing relevant hardware through a program. The program may be stored in a computer-readable memory, and the memory may include: a flash disk , ROM, RAM, magnetic disk or optical disk, etc.

The embodiments of the present application are described in detail above, and specific examples are used to explain the principle and implementation of the present application. The descriptions of the above embodiments are only used to help understand the method and core idea of the present application; at the same time, Those of ordinary skill in the art, based on the ideas of the present application, may have changes in specific implementations and application scopes. In summary, the content of this specification should not be construed as limiting the present application.

Claims

An information push method, characterized in that it is applied to an electronic device, and the method includes:

Obtaining usage records of M applications in the electronic device, where M is a positive integer;

According to the usage record, it is determined that N target applications with a priority greater than or equal to a preset priority among the M applications and N target time periods corresponding to the N target applications, the N target applications and the N target time periods correspond one to one, and N is a positive integer not greater than M;

Pushing an advertisement to each of the N target applications in each target time period of the N target time periods.
The method according to claim 1, wherein the determining, according to the usage record, the N target applications with a priority greater than or equal to a preset priority among the M applications comprises:

Analyze the usage records to obtain the average daily usage times and average daily usage duration of each of the M applications, and obtain the average daily usage times and average daily usage duration of the M groups;

Determine the priority of the corresponding application according to the average daily usage times and average daily usage duration of each group in the M groups of daily usage times and average daily usage duration, and obtain M priority levels;

Determine N target applications corresponding to N target priorities of the M priority levels that are greater than or equal to the preset priority level.
The method according to claim 2, characterized in that the priority of the corresponding application is determined according to the average daily usage times and average daily usage duration of each group in the M groups of average daily usage times and average daily usage duration to obtain M priority levels, including:

Perform the following steps for the average daily use times and average daily use duration of each group in the M groups:

Determine the first score value corresponding to each group of daily average usage times according to the preset first correspondence between the number of uses and the score value;

Determine the second score value corresponding to each group of daily use time according to the preset second correspondence between the use time and the score value;

Acquiring a first weight value corresponding to the number of times of use, and a second value corresponding to the use duration;

Determine the target score value corresponding to each group of daily average usage times and daily average usage duration according to the average daily usage times, average daily usage duration, the first weight and the second weight value of each group ；

Determine the priority corresponding to the target score value according to the preset third correspondence between the score value and the priority.
The method according to any one of claims 1 to 3, wherein the determining the N target time periods corresponding to the N target applications according to the usage record comprises:

Determine, according to the usage record, at least one time period corresponding to each of the N target applications, and each time period in the at least one time period is a time period during which the target application has been used;

Determine the target time period with the most occurrences in at least one time period corresponding to each of the N target applications, and obtain N target time periods.
The method according to any one of claims 1 to 4, wherein the advertisement comprises a shopping advertisement, and the pushing an advertisement to a corresponding target application in each target time period of the N target time periods comprises :

Determine at least one target commodity according to the browsing record of the target object in the usage record;

Determine the target price range corresponding to each target product in the at least one target product, and obtain at least one target price range;

According to each target price range in the at least one target price range, each target time period in the N target time periods pushes a shopping advertisement of a target product corresponding to the target price range to a corresponding target application.
The method according to claim 5, wherein said determining the target price interval corresponding to each target commodity in the at least one target commodity to obtain at least one target price interval comprises:

Determining the target purchasing power level of the target object according to the shopping record of the target object in the usage record;

Determine the corresponding relationship table corresponding to each target product in the at least one target product to obtain at least one corresponding relationship table, and each corresponding relationship table in the at least one corresponding relationship table is the corresponding relationship between the purchasing power level and the price range;

According to the at least one correspondence table, a target price range corresponding to each target product in the at least one target product and the target purchasing power level is determined to obtain at least one target price range.
The method according to any one of claims 1 to 4, wherein the advertisement includes a game advertisement, and each target time period in the N target time periods is transferred to each of the N target applications. A target application pushes advertisements, including:

Analyze the usage record to obtain at least one target keyword of the target object;

According to the preset correspondence between keywords and game sets, determine the target game set between each of the at least one target keyword to obtain at least one target game set, the at least one target game set Each target game set contains multiple games;

Push at least one game advertisement of a target game set to each target application in the N target applications in each target time period in the N target time periods.
The method according to claim 7, wherein the pushing at least one game advertisement of the target game set to the corresponding target application in each target time period of the N target time periods comprises:

Determining a target game set corresponding to each of the N target time periods in the at least one target game set;

In each of the N target time periods, a game advertisement of a target game set corresponding to each target time period is pushed to each target application of the N target applications.
The method according to any one of claims 1-8, wherein after each target time period of the N target time periods pushes an advertisement to each of the N target applications, the Methods also include:

Determine the target application pages with a browsing frequency higher than a preset frequency in each of the N target applications, and obtain N target application pages;

The advertisement of each target application of the N target applications is displayed through each target application page of the N target application pages.
An information pushing device, characterized in that it is applied to electronic equipment, and the information pushing device includes:

An acquiring unit, configured to acquire usage records of M applications in the electronic device, where M is a positive integer;

The determining unit is configured to determine, according to the usage record, N target applications with a priority greater than or equal to a preset priority among the M applications and N target time periods corresponding to the N target applications, the N The target application corresponds to the N target time periods one-to-one, and N is a positive integer not greater than M;

The pushing unit is configured to push advertisements to each of the N target applications in each target time period of the N target time periods.
The device according to claim 10, wherein, in the aspect of determining the N target applications with a priority greater than or equal to a preset priority among the M applications according to the usage record, the determining unit specifically uses in:

Analyze the usage records to obtain the average daily usage times and average daily usage duration of each of the M applications, and obtain the average daily usage times and average daily usage duration of the M groups;

Determine the priority of the corresponding application according to the average daily usage times and average daily usage duration of each group in the M groups of daily usage times and average daily usage duration, and obtain M priority levels;

Determine N target applications corresponding to N target priorities of the M priority levels that are greater than or equal to the preset priority level.
The device according to claim 11, wherein the priority of the corresponding application is determined according to the average daily usage times and average daily usage duration of each group in the M groups of average daily usage times and average daily usage duration, In terms of obtaining M priority levels, the determining unit is specifically configured to:

Perform the following steps for the average daily use times and average daily use duration of each group in the M groups:

Determine the first score value corresponding to each group of daily average usage times according to the preset first correspondence between the number of uses and the score value;

Determine the second score value corresponding to each group of daily use time according to the preset second correspondence between the use time and the score value;

Acquiring a first weight value corresponding to the number of times of use, and a second value corresponding to the use duration;

Determine the target score value corresponding to each group of daily average usage times and daily average usage duration according to the average daily usage times, average daily usage duration, the first weight and the second weight value of each group ；

Determine the priority corresponding to the target score value according to the preset third correspondence between the score value and the priority.
The apparatus according to any one of claims 10-12, wherein, in terms of determining the N target time periods corresponding to the N target applications according to the usage record, the determining unit is specifically configured to:

Determine, according to the usage record, at least one time period corresponding to each of the N target applications, and each time period in the at least one time period is a time period during which the target application has been used;

Determine the target time period with the most occurrences in at least one time period corresponding to each of the N target applications, and obtain N target time periods.
The device according to any one of claims 10-13, wherein the advertisement comprises a shopping advertisement, and in terms of pushing the advertisement to a corresponding target application in each target time period of the N target time periods, the The push unit is specifically used for:

Determine at least one target commodity according to the browsing record of the target object in the usage record;

Determine the target price range corresponding to each target product in the at least one target product, and obtain at least one target price range;

According to each target price range in the at least one target price range, each target time period in the N target time periods pushes a shopping advertisement of a target product corresponding to the target price range to a corresponding target application.
The device according to claim 14, wherein, in terms of determining the target price range corresponding to each target product in the at least one target product to obtain at least one target price range, the pushing unit is specifically configured to:

Determining the target purchasing power level of the target object according to the shopping record of the target object in the usage record;

Determine the corresponding relationship table corresponding to each target product in the at least one target product to obtain at least one corresponding relationship table, and each corresponding relationship table in the at least one corresponding relationship table is the corresponding relationship between the purchasing power level and the price range;

According to the at least one correspondence table, a target price range corresponding to each target product in the at least one target product and the target purchasing power level is determined to obtain at least one target price range.
The device according to any one of claims 10-13, wherein the advertisement comprises a game advertisement, and each target time period in the N target time periods is directed to each target in the N target applications. In terms of application push advertisement, the push unit is specifically used for:

Analyze the usage record to obtain at least one target keyword of the target object;

According to the preset correspondence between keywords and game sets, determine the target game set between each of the at least one target keyword to obtain at least one target game set, the at least one target game set Each target game set contains multiple games;

Push at least one game advertisement of a target game set to each target application in the N target applications in each target time period in the N target time periods.
The device according to claim 16, wherein in each of the N target time periods, in terms of pushing at least one target game set of game advertisements to the corresponding target application in each target time period, the pushing unit is specifically configured to :

Determining a target game set corresponding to each of the N target time periods in the at least one target game set;

In each of the N target time periods, a game advertisement of a target game set corresponding to each target time period is pushed to each target application of the N target applications.
The device according to any one of claims 10-17, wherein the device further comprises a display unit, wherein:

The determining unit is further configured to determine a target application page whose browsing frequency is higher than a preset frequency in each of the N target applications, to obtain N target application pages;

The display unit is configured to display an advertisement of each target application of the N target applications through each target application page of the N target application pages.
An electronic device, characterized in that it includes a processor, a memory, a communication interface, and one or more programs, the one or more programs are stored in the memory, and are configured to be executed by the processor, The program includes instructions for performing the steps in the method of any one of claims 1-9.
A computer-readable storage medium, characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to any one of claims 1-9.