CN113016169A

CN113016169A - Information pushing method and related product

Info

Publication number: CN113016169A
Application number: CN201980075081.2A
Authority: CN
Inventors: 陈景远
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Priority date: 2019-01-15
Filing date: 2019-01-15
Publication date: 2021-06-22
Also published as: WO2020147007A1

Abstract

The embodiment of the application discloses an information pushing method and a related product, wherein the method comprises the following steps: the method comprises the steps of obtaining use records of M applications in the electronic equipment, determining N target applications with the priority greater than or equal to the preset priority in the M applications and N target time periods corresponding to the N target applications according to the use records, and pushing advertisements to each target application in the N target applications in each target time period in the N target time periods.

Description

Information pushing method and related product

Technical Field

The present application relates to the field of electronic technologies, and in particular, to an information push method and a related product.

Background

With the widespread use of electronic devices (such as mobile phones, tablet computers, etc.), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.

At present, advertisements on electronic devices are all pushed to specific applications, users often install the specific applications and know advertisement contents, habits of the users in using the applications are different, and effects generated by pushing the advertisements through various applications are also different.

Disclosure of Invention

The embodiment of the application provides an information pushing method and a related product, and advertisements can be more intelligently pushed to applications according to the use habits of users using the applications.

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

obtaining use records of M applications in the electronic equipment, wherein M is a positive integer;

determining N target applications with the priority greater than or equal to a preset priority and N target time periods corresponding to the N target applications in the M applications according to the use records, wherein the N target applications are in one-to-one correspondence with the N target time periods, and N is a positive integer not greater than M;

and pushing an advertisement to each target application in the N target application in each target time period in the N target time periods.

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

the acquisition unit is used for acquiring the use records of M applications in the electronic equipment, wherein M is a positive integer;

a determining unit, 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, where the N target applications are in one-to-one correspondence with the N target time periods, and N is a positive integer not greater than M;

and the pushing unit is used for pushing the advertisement to each target application in the N target application time periods in each target time period in 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, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.

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

It can be seen that, in the information push method and the related product described in the embodiments of the present application, by obtaining the usage records of M applications in the electronic device, determining N target applications with a priority greater than or equal to a preset priority and N target time periods corresponding to the N target applications in the M applications according to the usage records, and pushing an advertisement to each target application in the N target time periods in each target time period in the N target time periods, in this way, the application and the target time period frequently used by a user can be determined according to the usage records of the applications in the electronic device, and then an advertisement is pushed to the corresponding target application in each target time period, so that the advertisement can be pushed according to the habit of the user using the applications, and thus, the pushing of the advertisement is more intelligent and personalized.

Drawings

Reference will now be made in brief to the drawings that are needed in describing embodiments or prior art.

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 1B is a schematic flowchart of an information pushing 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;

fig. 4 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present application;

fig. 5A is a schematic structural diagram of an information pushing apparatus disclosed in an embodiment of the present application;

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

Detailed Description

In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art 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, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem with wireless communication functions, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices. The following describes embodiments of the present application in detail.

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

The storage and processing circuitry 110 may be used to run software in the electronic device 100, such as an internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, operating system functions, and so forth. Such software may be used to perform control operations such as, for example, camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the electronic device 100, and the like, without limitation.

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

Input-output circuitry 150 may also include one or more displays, such as display 130. The display 130 may include one or a combination of liquid crystal displays, organic light emitting diode displays, electronic ink displays, plasma displays, displays using other display technologies. Display 130 may include an array of touch sensors (i.e., display 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.

The audio component 140 may be used to provide audio input and output functionality for the electronic device 100. The audio components 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 capability 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 circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless communication circuitry in communication circuitry 120 may include circuitry to support 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 communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth.

The electronic device 100 may further include a battery, power management circuitry, 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 and other status indicators, and the like.

A user may input commands through input-output circuitry 150 to control the operation of electronic device 100, and may use output data of input-output circuitry 150 to enable receipt of status information and other outputs from electronic device 100.

Referring to fig. 1B, fig. 1B is a schematic flow chart of an information pushing method according to an embodiment of the present disclosure, where the information pushing method described in the embodiment is applied to the electronic device shown in fig. 1A, and the information pushing method includes:

101. obtaining the use records of M applications in the electronic equipment, wherein M is a positive integer.

Wherein the M applications may include at least one of the following: payment applications, chat applications, mail applications, riding applications, navigation applications, reading applications, video playing applications, music playing applications, learning applications, such as english learning applications, professional exam learning applications, shopping applications, fitness applications, courier applications, work applications, and the like, without limitation.

The usage record may include a start time, an end time, a usage duration, browsing content, and a function, an operation record, and the like of each of the M applications, and specifically, the usage record corresponding to the payment application may include a start time, an end time, and a usage duration of each usage of the payment application, and may further include a payment start time, a payment end time, and a payment usage duration of the payment application used for performing a payment operation, for example, a user is 8: 10-:8: 18. 12: 05-12:16, 19: and paying by using the payment application in three time periods of 00-19:10, wherein the usage records corresponding to the shopping application can comprise purchased commodity information, shopping starting time, shopping ending time, shopping duration and the like, the usage records corresponding to the reading application can comprise reading content, reading progress, reading starting time, reading ending time, reading duration and the like of each day, wherein the reading progress can comprise reading pages, reading chapters, reading word numbers and the like, and the usage records corresponding to the learning application can comprise course learning progress, learning starting time, learning ending time, learning duration and the like. In the embodiment of the application, usage records of the M applications in the electronic device can be obtained, and the usage record of each application can reflect usage habits of a user.

Alternatively, the usage record may be all usage records in which M applications are used, or may be usage records in a specific time period, for example, usage records in the last month, the last half year, or the last three months.

102. And determining N target applications with the priority greater than or equal to a preset priority and N target time periods corresponding to the N target applications in the M applications according to the use records, wherein the N target applications are in one-to-one correspondence with the N target time periods, and N is a positive integer not greater than M.

The priority of each application in the M applications can be determined, then the N target applications with the priority greater than the preset priority are determined, and for any one application in the M pieces of music, if the priority corresponding to the application is greater than the preset priority, the application can be determined as the target application.

In a specific implementation, the application with the higher priority may be an application with a higher user frequency, the use frequency of each application may be determined according to the use record, and then the priority corresponding to the use frequency of each application is determined according to a corresponding relationship between a preset use frequency and the priority, optionally, the application with the higher priority may also be an application with a higher evaluation, and in a specific implementation, the evaluation value corresponding to each application of the M applications may be acquired, and then the priority corresponding to the evaluation value corresponding to each application may be determined according to a corresponding relationship between the evaluation value and the priority.

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

21. analyzing the use records to obtain the daily average use times and the daily average use duration of each application in the M applications, and obtaining M groups of daily average use times and daily average use durations;

22. determining the priority of the corresponding application according to the daily average use times and the daily average use duration of each of the M groups of daily average use times and daily average use durations to obtain M priorities;

23. and determining N target applications corresponding to N target priorities of which the priorities are greater than or equal to the preset priority in the M priorities.

Analyzing the usage record to obtain the daily average usage number of each application in the M applications, determining the total usage number of each application used by the user in a preset time period, and then determining the daily average usage number of each application according to the preset time period and the total usage number, wherein the preset time period may be half a year, one year, and the like; analyzing the usage records to obtain the daily average usage time of each application in the M applications, determining the total usage time of each application used by a user in a preset time period, then determining the daily average usage time of each application according to the preset time period and the total usage time, then determining the priority of each application according to the daily average usage times and the daily average usage time of each application, and further determining the M priorities corresponding to the M applications.

Optionally, in step 22, the priority of the corresponding application is determined according to each of the M groups of daily average usage times and daily average usage time to obtain M priorities, and the following steps may be performed for each of the M groups of daily average usage times and daily average usage time:

a1, determining a first score value corresponding to each group of daily use times according to a first corresponding relation between preset use times and the score value;

a2, determining a second score value corresponding to each group of daily use duration according to a second corresponding relation between preset use duration and the score value;

a3, acquiring a first weight corresponding to the number of times of use and a second value corresponding to the length of use;

a4, determining target score values corresponding to the daily average use times and the daily average use duration of each group according to the daily average use times, the daily average use duration, the first weight value and the second weight value of each group;

and A5, determining the priority corresponding to the target score value according to a third corresponding relation between the preset score value and the priority.

The electronic device may store a first corresponding relationship between the number of times of use and the score value and a second corresponding relationship between the length of use and the score value in advance. Furthermore, a first score value corresponding to each group of daily usage times can be determined according to the first corresponding relationship, a second score value corresponding to each group of daily usage time can be determined according to the second corresponding relationship, a first weight value corresponding to each group of daily usage times and a second weight value corresponding to each group of daily usage time can be stored in the electronic device in advance, the sum of the first weight value and the second weight value is 1, further, weighting operation can be performed according to the daily usage times, the daily usage time, the first weight value and the second weight value, a target score value corresponding to each target application is obtained, and specifically, the target score value can be obtained according to the following formula: the target score value is the daily average use times, the first weight value and the daily average use time length, and the second weight value.

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

24. determining at least one time period corresponding to each application in the N target applications according to the usage record, wherein each time period in the at least one time period is a time period in which the target application is used;

25. and determining the target time period with the maximum occurrence frequency in at least one time period corresponding to each application in the N target applications to obtain N target time periods.

Wherein, at least one time period used by each target application every day can be determined according to the time used by each target application every time in the usage record, and for each day used record of each target application, the corresponding time period used every time can be determined according to the starting time, the ending time and the usage duration used every time by each target application every day, for example, the user is in a state of 8: 10-:8: 18, when the first target application is used, it may be determined that the time period corresponding to the use is 8:00-8:59, if the first target application is used multiple times on a certain day, multiple time periods are determined according to multiple sets of start time, end time, and use duration corresponding to multiple times when the user uses the target application, and further, all time periods corresponding to all use times in multiple days may be determined, and at least one time period is obtained, as shown in table 1 below, which is an example of determining at least one time period of the first target application according to the user use record in this embodiment of the present application:

wherein the first target application is any one of N target applications, D1, D2, D3.

Further, the target time period with the largest occurrence number in at least one time period corresponding to each target application may be determined, for example, the respective occurrence numbers of the time periods 6:00-6:59, 7:00-7:59, 8:00-8:59, 11:38-11:50, and 12:00-12:59 in the above table may be determined, and then the target time period with the highest occurrence number in the above respective time periods may be determined, so that N target time periods corresponding to N target applications may be determined.

103. And pushing an advertisement to each target application in the N target application in each target time period in the N target time periods.

Wherein the advertisement may include at least one of: such as shopping advertisements, game advertisements, application recommendation advertisements, etc., and in particular, may include the following types of advertisements: the method comprises the steps of flashing screen advertisements, Banner (Banner) advertisements, screen-inserted advertisements, native advertisements, incentive advertisements and the like, wherein the flashing screen advertisements are in an advertisement form which is loaded when an application is started and automatically closed after the display is finished and enters an application main page, the Banner advertisements are in an advertisement form which is formed by pictures and texts, are displayed at the top, the middle or the bottom of the application page but transversely penetrate through the whole or most of the application page, the screen-inserted advertisements are in an advertisement form which is popped up in a half-screen or full-screen mode when the application is started, paused and quitted, the display occasion smartly avoids the normal experience of a user on the application, the native advertisements are advertisements which are deliberately modified after combining platform characteristics, user and visual experience and content environment, and are characterized by nature and uneasiness in perception, the incentive advertisements refer to interactive advertisements which are permanently rewarded by means of incentives, for example, in the process of using a target application by the user, after seeing the advertisement displayed in the application page, if interest is generated in the content corresponding to the advertisement, a control key or a window in the advertisement can be clicked, and then an interface corresponding to the advertisement is accessed.

For example, if a first target time period corresponds to a first target application, a second target time period corresponds to a second target application, and the first target time period is earlier than the second target time period, the advertisement can be pushed to the first target application in the first target time period, and the advertisement can be pushed to the second target application in the second target time period. Therefore, when the user uses the first target application in the first target time period and uses the second target application in the second target time period, the advertisement can be watched, and therefore the advertisement can be more intelligently pushed to the N target applications.

Optionally, the advertisement includes a shopping advertisement, and in step 103, the pushing the advertisement to the corresponding target application in each of the N target time slots may include the following steps:

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

32. determining a target price interval corresponding to each target commodity in the at least one target commodity to obtain at least one target price interval;

33. and pushing a shopping advertisement of a target commodity corresponding to the target price interval to a corresponding target application in each target time period in the N target time periods according to each target price interval in the at least one target price interval.

When the user uses the application in the electronic device, the browsed application page contains the content of the shopping commodity, at least one commodity browsed by the user can be determined according to the browsing record of the target object in the usage record, and at least one target commodity with the browsing time length exceeding the preset browsing time length is determined according to the browsing time length of the user browsing the application page corresponding to each commodity in the shopping commodity.

For each target commodity in the at least one target commodity, the price interval corresponding to each target commodity is determined, and then the advertisement of the target commodity in the target price interval is pushed to the corresponding target application in each target time period, for example, the target commodity is the costume a, and if the target price interval corresponding to the costume a is determined to be 500-.

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

b1, determining the target purchasing power level of the target object according to the shopping record of the target object in the use record;

b2, determining a corresponding relation table corresponding to each target commodity in the at least one target commodity to obtain at least one corresponding relation table, wherein each corresponding relation table in the at least one corresponding relation table is a corresponding relation between a purchasing power grade and a price interval;

and B3, determining a target price interval corresponding to each target commodity in the at least one target commodity and the target purchasing power grade according to the at least one corresponding relation table to obtain at least one target price interval.

The target object may be a user who registers an account in a shopping application, and the target purchasing power level of the target object may be determined according to a shopping record of the target object in the usage record, specifically, the target purchasing power level of the target object may be determined according to the shopping record of the target object in the usage record, a plurality of prices at which the target object purchases a plurality of commodities may be determined according to a plurality of shopping records in the usage record, then a purchasing power level corresponding to each price in the plurality of prices is determined, a plurality of purchasing power levels are obtained, and a target purchasing power level with the largest occurrence frequency in the plurality of purchasing power levels is determined.

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

34. analyzing the use record to obtain at least one target keyword of a target object;

35. determining a target game set between each target keyword in the at least one target keyword according to a corresponding relation between preset keywords and a game set to obtain at least one target game set, wherein each target game set in the at least one target game set comprises a plurality of games;

36. pushing game advertisements for at least one set of target games to each of the N target applications at each of the N target time periods.

The target keywords can be keywords related to behavior characteristics and interests of the user, and the target keywords related to the behavior characteristics and the interests of the user can be determined through habits of the user using the electronic equipment in the process of using the electronic equipment by the user. In addition, in the embodiment of the application, a corresponding relationship between the keywords and the game sets can be preset, so that a target game set corresponding to each target keyword in the at least one target keyword can be determined, and finally, the game advertisement of the at least one target game set is pushed to each target application in the N target applications.

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

c1, determining a target game set corresponding to each target time period in the N target time periods in the at least one target game set;

and C2, pushing the game advertisement of the target game set corresponding to each target time period to each target application in the N target application time periods in each target time period in the N target time periods.

The method includes the steps of determining a target game set corresponding to each target time period in N target time periods in at least one target game set, and considering that at least one target keyword is determined according to a use record of applications in the electronic device, determining at least one target keyword to determine a target application corresponding to each target keyword, specifically, determining the association degree of each target keyword and each application in the N target applications according to each target keyword to obtain N association degrees, then determining the target application corresponding to the maximum association degree in the N association degrees, and further determining the target game set of the target keyword corresponding to each target time period.

Optionally, in this embodiment of the application, after the advertisement is pushed to each of the N targeted applications in each of the N targeted time periods, the method may further include the following steps:

d1, determining a target application page with the browsing frequency higher than the preset frequency in each target application of the N target applications to obtain N target application pages;

d2, showing the advertisement of each target application of the N target applications through each target application page of the N target application pages.

The method comprises the steps of determining a target application page with browsing frequency higher than preset frequency in each target application in N target applications, determining a browsing page with browsing records in each target application, then obtaining browsing times of each browsing page in each target application in a preset time period, further determining the browsing frequency corresponding to each browsing page according to the browsing times of each browsing page, and finally determining a target application page with browsing frequency higher than the preset frequency in each target application.

It can be seen that, in the information pushing method described in this embodiment of the application, by obtaining the usage records of M applications in the electronic device, determining, according to the usage records, N target applications with a priority greater than or equal to a preset priority and N target time periods corresponding to the N target applications in the M applications, and pushing an advertisement to each target application in the N target time periods in each target time period in the N target time periods, an application frequently used by a user and a target time period can be determined through the usage records of the applications in the electronic device, and then an advertisement is pushed to the corresponding target application in each target time period, so that the advertisement can be pushed according to habits of the user in using the applications, and thus, the pushing of the advertisement is more intelligent and personalized.

In accordance with the above, please refer to fig. 2, where fig. 2 is a schematic flow chart of another information pushing method provided in the embodiment of the present application, and the information pushing method described in the embodiment is applied to an electronic device, and the method may include the following steps:

201. obtaining the use records of M applications in the electronic equipment, wherein M is a positive integer.

202. And analyzing the use records to obtain the daily average use times and the daily average use duration of each application in the M applications, and obtaining M groups of daily average use times and daily average use durations.

203. And determining the priority of the corresponding application according to the daily average use times and the daily average use time of each of the M groups of daily average use times and daily average use time to obtain M priorities.

204. And determining N target applications corresponding to N target priorities of which the priorities are greater than or equal to the preset priority in the M priorities.

205. And determining at least one time period corresponding to each application in the N target applications according to the usage record, wherein each time period in the at least one time period is a time period in which the target application is used.

206. And determining the target time period with the maximum occurrence frequency in at least one time period corresponding to each application in the N target applications to obtain N target time periods.

207. And pushing an advertisement to each target application in the N target application in each target time period in the N target time periods.

The specific implementation process of the steps 201-207 can refer to the corresponding description in the method shown in fig. 1B, and is not described herein again.

It can be seen that, in the information pushing method described in this embodiment of the present application, the usage records are analyzed by obtaining the usage records of M applications in the electronic device, so as to obtain the daily average usage times and daily average usage duration of each application, determine the priority of the corresponding application according to each group of daily average usage times and daily average usage duration, determine N target applications corresponding to N target priorities of which the priority is greater than or equal to the preset priority, determine at least one time period corresponding to each application in the N target applications according to the usage records, determine the target time period with the largest occurrence frequency in the at least one time period corresponding to each application in the N target applications, so as to obtain N target time periods, push an advertisement to each target application in the N target applications in each target time period, and thus, the application and the target time period frequently used by the user can be determined by using the records, and then, the advertisement is pushed to the corresponding target application in each target time period, so that the advertisement is pushed more intelligently and individually.

In accordance with the above, please refer to fig. 3, which is a schematic flow chart of another information pushing method according to an embodiment of the present application, where the information pushing method described in the embodiment is applied to the electronic device shown in fig. 1A, and the method includes the following steps:

301. obtaining the use records of M applications in the electronic equipment, wherein M is a positive integer.

302. And analyzing the use records to obtain the daily average use times and the daily average use duration of each application in the M applications, and obtaining M groups of daily average use times and daily average use durations.

303. And determining the priority of the corresponding application according to the daily average use times and the daily average use time of each of the M groups of daily average use times and daily average use time to obtain M priorities.

304. And determining N target applications corresponding to N target priorities of which the priorities are greater than or equal to the preset priority in the M priorities.

305. And determining at least one time period corresponding to each application in the N target applications according to the usage record, wherein each time period in the at least one time period is a time period in which the target application is used.

306. And determining the target time period with the maximum occurrence frequency in at least one time period corresponding to each application in the N target applications to obtain N target time periods.

307. And pushing an advertisement to each target application in the N target application in each target time period in the N target time periods.

308. And determining a target application page with the browsing frequency higher than the preset frequency in each target application of the N target applications to obtain N target application pages.

309. Displaying, by each of the N targeted application pages, an advertisement for each of the N targeted applications.

The specific implementation process of

steps

301 and 309 can be described with reference to the corresponding description in the method shown in fig. 1B, and will not be described herein again.

The information pushing method described in the embodiment of the application obtains the daily average use times and the daily average use duration of each application by obtaining the use records of M applications in the electronic device, determines the priority of the corresponding application according to each group of daily average use times and daily average use duration, determines N target applications corresponding to N target priorities with the priority being greater than or equal to the preset priority, determines at least one time period corresponding to each application in the N target applications according to the use records, determines the target time period with the largest occurrence frequency in the at least one time period corresponding to each application in the N target applications to obtain N target time periods, pushes an advertisement to each target application in the N target applications in each target time period in the N target time periods, determines a target application page with the browsing frequency higher than the preset frequency in each target application in the N target applications, the N target application pages are obtained, and the advertisement of each target application in the N target applications is displayed through each target application page in the N target application pages, so that the advertisement can be pushed according to the habit of the user using the application, the probability that the user views the advertisement can be increased through displaying the advertisement on the target application page corresponding to each target application, the effect of advertisement production is better, and the advertisement is pushed more intelligently and individually.

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

In one possible example, in the determining of N target applications of the M applications having a priority greater than or equal to a preset priority based on the usage record, the program includes instructions for:

analyzing the use records to obtain the daily average use times and the daily average use duration of each application in the M applications, and obtaining M groups of daily average use times and daily average use durations; determining the priority of the corresponding application according to the daily average use times and the daily average use duration of each of the M groups of daily average use times and daily average use durations to obtain M priorities; and determining N target applications corresponding to N target priorities of which the priorities are greater than or equal to the preset priority in the M priorities.

In one possible example, in the aspect that the priorities of the corresponding applications are determined according to the daily average use times and the daily average use duration of each of the M groups of daily average use times and daily average use durations, the program includes instructions for performing the following steps:

aiming at each group of daily average use times and daily average use time of the M groups of daily average use times and daily average use time, the following steps are executed:

determining a first score value corresponding to each group of daily use times according to a first corresponding relation between preset use times and score values; determining a second score value corresponding to each group of daily use duration according to a second corresponding relation between preset use duration and the score value; acquiring a first weight corresponding to the using times and a second value corresponding to the using duration; determining a target score value corresponding to each group of daily average use times and daily average use duration according to the daily average use times, the daily average use duration, the first weight and the second weight; and determining the priority corresponding to the target score value according to a third corresponding relation between the preset score value and the priority.

In one possible example, in said determining N target time periods for said N target applications from said usage record, said program includes instructions for performing the steps of:

determining at least one time period corresponding to each application in the N target applications according to the usage record, wherein each time period in the at least one time period is a time period in which the target application is used; and determining the target time period with the maximum occurrence frequency in at least one time period corresponding to each application in the N target applications to obtain N target time periods.

In one possible example, the advertisement comprises a shopping advertisement, and in respect of each of the N targeted time periods pushing an advertisement to a corresponding targeted application, the program comprises instructions for:

determining at least one target commodity according to the browsing record of the target object in the use record; determining a target price interval corresponding to each target commodity in the at least one target commodity to obtain at least one target price interval; and pushing a shopping advertisement of a target commodity corresponding to the target price interval to a corresponding target application in each target time period in the N target time periods according to each target price interval in the at least one target price interval.

In one possible example, in the determining a target price interval corresponding to each target commodity in the at least one target commodity, obtaining at least one target price interval, the program includes instructions for:

determining a target purchasing power grade of the target object according to the shopping record of the target object in the use record; determining a corresponding relation table corresponding to each target commodity in the at least one target commodity to obtain at least one corresponding relation table, wherein each corresponding relation table in the at least one corresponding relation table is a corresponding relation between the purchasing power grade and the price interval; and determining a target price interval corresponding to the target purchasing power grade of each target commodity in the at least one target commodity according to the at least one corresponding relation table to obtain at least one target price interval.

In one possible example, the advertisement comprises a game advertisement, in that an advertisement is pushed to each of the N targeted applications during each of the N targeted time periods, the program comprising instructions for:

analyzing the use record to obtain at least one target keyword of a target object; determining a target game set between each target keyword in the at least one target keyword according to a corresponding relation between preset keywords and a game set to obtain at least one target game set, wherein each target game set in the at least one target game set comprises a plurality of games; pushing game advertisements for at least one set of target games to each of the N target applications at each of the N target time periods.

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

determining a target game set corresponding to each of the N target time periods in the at least one target game set; and pushing game advertisements of the target game set corresponding to each target time period to each target application in the N target time periods in each target time period.

In one possible example, after each of the N targeted time periods pushes an advertisement to each of the N targeted applications, the program further includes instructions for:

determining a target application page with browsing frequency higher than a preset frequency in each target application of the N target applications to obtain N target application pages; displaying, by each of the N targeted application pages, an advertisement for each of the N targeted applications.

Referring to fig. 5A, fig. 5A is a schematic structural diagram of an information pushing apparatus provided in this embodiment. The information pushing apparatus is applied to the electronic device shown in fig. 1A, and comprises an acquisition unit 501, a determination unit 502, and a pushing unit 503, wherein,

the obtaining unit 501 is configured to obtain 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, where the N target applications are in 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 an advertisement to each of the N target applications in each of the N target time periods.

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

Optionally, in the aspect that the priorities of the corresponding applications are determined according to the average daily usage times and the average daily usage time of each of the M groups of average daily usage times and average daily usage time to obtain M priorities, the determining unit 502 is specifically configured to:

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

Optionally, the advertisement includes a shopping advertisement, and in terms of pushing the advertisement to a corresponding target application in each of the N target time periods, the pushing unit 503 is specifically configured to:

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

Optionally, the advertisement includes a game advertisement, and in the aspect of pushing the advertisement to each of the N target applications in each of the N target time periods, the pushing unit 503 is specifically configured to:

Optionally, in an aspect that each of the N target time periods pushes a game advertisement of at least one target game set to a corresponding target application, the pushing unit 503 is specifically configured to:

Optionally, as shown in fig. 5B, fig. 5B is a modified structure of the information pushing apparatus described in fig. 5A in the embodiment of the present application, and compared with fig. 5A, the modified structure may further include: the display unit 504 is specifically as follows:

the determining unit 502 is further configured to determine a target application page with a browsing frequency higher than a preset frequency in each of the N target applications, so as to obtain N target application pages; the showing unit 504 is configured to show the advertisement of each of the N target applications through each of the N target application pages.

It can be seen that, in the information pushing apparatus described in this embodiment of the present application, by obtaining the usage records of M applications in the electronic device, determining, according to the usage records, N target applications with a priority greater than or equal to a preset priority and N target time periods corresponding to the N target applications in the M applications, and pushing an advertisement to each target application in the N target time periods in each target time period in the N target time periods, in this way, an application frequently used by a user and a target time period can be determined through the usage records of the applications in the electronic device, and then an advertisement is pushed to the corresponding target application in each target time period, so that the advertisement can be pushed according to habits of the user in using the applications, thereby enabling pushing of the advertisement to be more intelligent and personalized.

It can be understood that the functions of each program module of the information pushing apparatus in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.

Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the information pushing methods described in the above method embodiments.

Embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps of any one of the information push methods described in the above method embodiments.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric 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 application 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 may be implemented in the form of hardware, or may be implemented in the form of a software program module.

The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.

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 memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

An information pushing method is applied to an electronic device, and comprises the following steps:

obtaining use records of M applications in the electronic equipment, wherein M is a positive integer;

determining N target applications with the priority greater than or equal to a preset priority and N target time periods corresponding to the N target applications in the M applications according to the use records, wherein the N target applications are in one-to-one correspondence with the N target time periods, and N is a positive integer not greater than M;

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

analyzing the use records to obtain the daily average use times and the daily average use duration of each application in the M applications, and obtaining M groups of daily average use times and daily average use durations;

determining the priority of the corresponding application according to the daily average use times and the daily average use duration of each of the M groups of daily average use times and daily average use durations to obtain M priorities;

and determining N target applications corresponding to N target priorities of which the priorities are greater than or equal to the preset priority in the M priorities.
The method according to claim 2, wherein the determining the priority of the corresponding application according to each of the M groups of average daily usage times and average daily usage time to obtain M priorities comprises:

aiming at each group of daily average use times and daily average use time of the M groups of daily average use times and daily average use time, the following steps are executed:

determining a first score value corresponding to each group of daily use times according to a first corresponding relation between preset use times and score values;

determining a second score value corresponding to each group of daily use duration according to a second corresponding relation between preset use duration and the score value;

acquiring a first weight corresponding to the using times and a second value corresponding to the using duration;

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

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

determining at least one time period corresponding to each application in the N target applications according to the usage record, wherein each time period in the at least one time period is a time period in which the target application is used;

and determining the target time period with the maximum occurrence frequency in at least one time period corresponding to each application in the N target applications to obtain N target time periods.
The method of any of claims 1-4, wherein the advertisement comprises a shopping advertisement, and wherein pushing the advertisement to the corresponding target application in each of the N target time periods comprises:

determining at least one target commodity according to the browsing record of the target object in the use record;

determining a target price interval corresponding to each target commodity in the at least one target commodity to obtain at least one target price interval;

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

determining a target purchasing power grade of the target object according to the shopping record of the target object in the use record;

determining a corresponding relation table corresponding to each target commodity in the at least one target commodity to obtain at least one corresponding relation table, wherein each corresponding relation table in the at least one corresponding relation table is a corresponding relation between the purchasing power grade and the price interval;

and determining a target price interval corresponding to the target purchasing power grade of each target commodity in the at least one target commodity according to the at least one corresponding relation table to obtain at least one target price interval.
The method of any of claims 1-4, wherein the advertisement comprises a game advertisement, and wherein pushing the advertisement to each of the N targeted applications during each of the N targeted time periods comprises:

analyzing the use record to obtain at least one target keyword of a target object;

determining a target game set between each target keyword in the at least one target keyword according to a corresponding relation between preset keywords and a game set to obtain at least one target game set, wherein each target game set in the at least one target game set comprises a plurality of games;

pushing game advertisements for at least one set of target games to each of the N target applications at each of the N target time periods.
The method of claim 7, wherein the pushing of game advertisements for at least one target game set to a corresponding target application in each 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;

and pushing game advertisements of the target game set corresponding to each target time period to each target application in the N target time periods in each target time period.
The method of any of claims 1-8, wherein after each of the N targeted time periods pushes an advertisement to each of the N targeted applications, the method further comprises:

determining a target application page with browsing frequency higher than a preset frequency in each target application of the N target applications to obtain N target application pages;

displaying, by each of the N targeted application pages, an advertisement for each of the N targeted applications.
An information pushing apparatus, applied to an electronic device, the information pushing apparatus comprising:

the acquisition unit is used for acquiring the use records of M applications in the electronic equipment, wherein M is a positive integer;

a determining unit, 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, where the N target applications are in one-to-one correspondence with the N target time periods, and N is a positive integer not greater than M;

and the pushing unit is used for pushing the advertisement to each target application in the N target application time periods in each target time period in the N target time periods.
The apparatus according to claim 10, wherein in the determining, according to the usage record, N target applications with priority greater than or equal to a preset priority among the M applications, the determining unit is specifically configured to:

analyzing the use records to obtain the daily average use times and the daily average use duration of each application in the M applications, and obtaining M groups of daily average use times and daily average use durations;

determining the priority of the corresponding application according to the daily average use times and the daily average use duration of each of the M groups of daily average use times and daily average use durations to obtain M priorities;

and determining N target applications corresponding to N target priorities of which the priorities are greater than or equal to the preset priority in the M priorities.
The apparatus according to claim 11, wherein in the aspect that the priority of the corresponding application is determined according to each of the M groups of average daily usage times and average daily usage time to obtain M priorities, the determining unit is specifically configured to:

aiming at each group of daily average use times and daily average use time of the M groups of daily average use times and daily average use time, the following steps are executed:

determining a first score value corresponding to each group of daily use times according to a first corresponding relation between preset use times and score values;

determining a second score value corresponding to each group of daily use duration according to a second corresponding relation between preset use duration and the score value;

acquiring a first weight corresponding to the using times and a second value corresponding to the using duration;

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

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

determining at least one time period corresponding to each application in the N target applications according to the usage record, wherein each time period in the at least one time period is a time period in which the target application is used;

and determining the target time period with the maximum occurrence frequency in at least one time period corresponding to each application in the N target applications to obtain N target time periods.
The apparatus of any of claims 10-13, wherein the advertisement comprises a shopping advertisement, and wherein the pushing unit, in terms of each of the N targeted time periods pushing the advertisement to the corresponding targeted application, is specifically configured to:

determining at least one target commodity according to the browsing record of the target object in the use record;

determining a target price interval corresponding to each target commodity in the at least one target commodity to obtain at least one target price interval;

and pushing a shopping advertisement of a target commodity corresponding to the target price interval to a corresponding target application in each target time period in the N target time periods according to each target price interval in the at least one target price interval.
The apparatus according to claim 14, wherein in the aspect of determining a target price interval corresponding to each target product of the at least one target product to obtain at least one target price interval, the pushing unit is specifically configured to:

determining a target purchasing power grade of the target object according to the shopping record of the target object in the use record;

determining a corresponding relation table corresponding to each target commodity in the at least one target commodity to obtain at least one corresponding relation table, wherein each corresponding relation table in the at least one corresponding relation table is a corresponding relation between the purchasing power grade and the price interval;

and determining a target price interval corresponding to the target purchasing power grade of each target commodity in the at least one target commodity according to the at least one corresponding relation table to obtain at least one target price interval.
The apparatus according to any of claims 10-13, wherein the advertisement comprises a game advertisement, and wherein in the pushing of the advertisement to each of the N targeted applications in each of the N targeted time periods, the pushing unit is specifically configured to:

analyzing the use record to obtain at least one target keyword of a target object;

determining a target game set between each target keyword in the at least one target keyword according to a corresponding relation between preset keywords and a game set to obtain at least one target game set, wherein each target game set in the at least one target game set comprises a plurality of games;

pushing game advertisements for at least one set of target games to each of the N target applications at each of the N target time periods.
The apparatus of claim 16, wherein in each of the N targeted time periods, the pushing unit is specifically configured to, in pushing the game advertisement of at least one targeted game set to the corresponding targeted application:

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

and pushing game advertisements of the target game set corresponding to each target time period to each target application in the N target time periods in each target time period.
The device according to any one of claims 10-17, further comprising a display unit, wherein,

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

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