WO2020142926A1 - 一种广告推送方法及相关设备 - Google Patents

一种广告推送方法及相关设备 Download PDF

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Publication number
WO2020142926A1
WO2020142926A1 PCT/CN2019/070973 CN2019070973W WO2020142926A1 WO 2020142926 A1 WO2020142926 A1 WO 2020142926A1 CN 2019070973 W CN2019070973 W CN 2019070973W WO 2020142926 A1 WO2020142926 A1 WO 2020142926A1
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WIPO (PCT)
Prior art keywords
advertisement
category
mapping relationship
categories
weights
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PCT/CN2019/070973
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English (en)
French (fr)
Inventor
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 (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 深圳市欢太科技有限公司, Oppo广东移动通信有限公司 filed Critical 深圳市欢太科技有限公司
Priority to PCT/CN2019/070973 priority Critical patent/WO2020142926A1/zh
Priority to CN201980074524.6A priority patent/CN113015996A/zh
Publication of WO2020142926A1 publication Critical patent/WO2020142926A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

Definitions

  • This application relates to the field of computer technology, in particular to an advertisement push method and related equipment.
  • the embodiments of the present application provide an advertisement pushing method and related equipment, which can carry out targeted advertisement pushing to users.
  • an advertisement pushing method which is applied to an electronic device, and the method includes:
  • an advertisement pushing device includes:
  • An obtaining unit configured to collect historical data and personal information, and construct a user portrait based on the historical data and the personal information
  • a computing unit used to input the user portrait into a pre-trained advertisement push model to obtain an advertisement push strategy
  • the pushing unit is used to push an advertisement according to the advertisement pushing strategy.
  • an embodiment of the present application provides a mobile terminal, 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 configured by the above
  • the processor executes, and the above program includes instructions for performing the steps in the first aspect of the embodiments of the present application.
  • 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.
  • an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing the computer program, and the computer program is operable to cause the computer to execute as implemented in the present application Examples of some or all of the steps described in the first aspect.
  • the computer program product may be a software installation package.
  • the electronic device collects historical data and personal information, and constructs a user portrait based on the historical data and the personal information; input the user portrait into a pre-trained advertising push model to obtain an advertisement Push strategy; push advertisements according to the advertisement push strategy. It can be seen that the electronic device obtains the advertisement push strategy by constructing the user portrait and combining the user portrait with the advertisement push model, which satisfies the targeted push and improves the user experience.
  • FIG. 1 is a schematic diagram of a system structure of an advertisement pushing method disclosed in an embodiment of the present application.
  • FIG. 2 is a schematic flowchart of an advertisement pushing method disclosed in an embodiment of the present application.
  • FIG. 3 is a method for updating a user portrait disclosed in an embodiment of the present application.
  • FIG. 4 is another method for updating a user portrait disclosed in an embodiment of the present application.
  • FIG. 5 is an advertisement pushing device disclosed in an embodiment of the present application.
  • FIG. 6 is a block diagram of a partial structure of a mobile phone related to a mobile terminal provided by an embodiment of the present application.
  • the mobile terminals 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.
  • UE user equipment
  • MS mobile station
  • terminal device etc.
  • electronic devices the devices mentioned above are collectively referred to as electronic devices.
  • FIG. 1 is a schematic diagram of a system structure of an advertisement pushing method disclosed in an embodiment of the present application, in which a mobile terminal 101 is in communication connection with a cloud server 102, and a cloud server 102 is in communication connection with a third-party server 103.
  • the mobile terminal 101 After collecting historical data and personal information, the mobile terminal 101 sends the historical data and personal information to the cloud server 102.
  • the cloud server 102 receives the historical data and personal information to construct a user portrait, and the cloud server 102 sends the user portrait to the third-party server 103.
  • the third-party server 103 calculates the advertisement push strategy based on the user portrait as the input of the advertisement push model.
  • the third-party server 103 sends the advertisement push strategy to the mobile terminal cloud server 102, and the cloud server 102 pushes according to the advertisement
  • the strategy screening out advertisement is sent to the mobile terminal 101.
  • the mobile terminal 101 receives the advertisement sent by the cloud server 102 and displays the advertisement in the advertisement area to complete the advertisement push.
  • FIG. 2 is a schematic flowchart of an advertisement pushing method disclosed in an embodiment of the present application. The method is applied to an electronic device, and specifically includes:
  • Step 201 Collect historical data and personal information, and construct a user portrait based on the historical data and the personal information.
  • the historical data is historical usage data of the electronic device, where the historical usage data includes: application software installation data, power statistics, etc., and personal information includes: user's age, user's occupation, user's gender and many more.
  • the installation list when collecting the installation data of the application software, first obtain the installation list of the application software, obtain all the application software names installed by the electronic device according to the installation list, query the application software according to the name of the application software to determine the application software’s Categories, label different types of application software according to categories, count the total number of all applications, count the number of applications included in each category, and determine the weight of each category for the number of applications included in each category.
  • the ratio of the total number of application software for example, to obtain the installation list of application software, the installation list includes: WeChat, QQ, Taobao, NetEase Koala, King Glory, Cross Fire, and stimulate the battlefield, determine the category of application software included in the installation list They are: instant messaging software, shopping software and game software.
  • instant messaging software includes: WeChat and QQ.
  • Shopping software includes: Taobao and NetEase Koala.
  • Game software includes: glory of the king, crossing the fire line and stimulating the battlefield.
  • the number of application software categories is: instant messaging software: 2, shopping software: 2, game software: 3, to determine the total number of all application software is 7, based on the total number and 3 categories of application software to determine 3 Category weights, of which instant messaging software category weight is 0.286, shopping software category weight is 0.286, and game software category weight is 0.428.
  • the power usage data in a power usage cycle is: WeChat 20%, QQ15%, Taobao 10%, NetEase Koala 5%, King Glory 20%, Cross FireWire 20%, stimulation 10% of the battlefield, determine the application software included in a battery life cycle: WeChat, QQ, Taobao, NetEase Koala, King Glory, Cross Fire, and stimulate the battlefield, and the weight of each application software is: WeChat corresponding weight is
  • the user's Identity information which includes: user's age, user's occupation, user's gender, the mapping relationship between obtaining personal information and weight, and determining the age weight corresponding to the user's age from the mapping relationship between personal information and weight, from personal information and Determine the professional weight corresponding to the user’s occupation in the weight mapping relationship, and determine the gender weight corresponding to the user’s gender from the mapping relationship between personal information and weight. For example, determine the user’s age from the content of the SMS application by keyword matching.
  • the age, the user’s occupation is a doctor, and the user’s gender is a female, determined from the mapping relationship between personal information and weight: the user’s age corresponds to a weight of 0.2, the user’s occupation corresponds to a weight of 0.5, and the user’s gender corresponds to a weight of 0.3.
  • mapping relationship between the application software and the category weight is established as the first mapping relationship
  • mapping relationship between the application software and the usage frequency weight is established as the second mapping relationship
  • mapping relationship between the personal information and the weight is determined as the third mapping relationship.
  • a mapping relationship, a second mapping relationship and a third mapping relationship together constitute a user portrait.
  • determining A weights corresponding to A categories according to N stay times and A categories includes: performing a summation operation on N stay times to obtain a total duration, determining A stay times corresponding to A categories, and calculating A The ratio of each dwell time to the total duration is used as A weights corresponding to A categories; updating the user portrait according to A weights includes: establishing the mapping relationship between A weights and A categories as the fourth mapping relationship, and according to the fourth mapping The relationship adjusting user portrait, wherein adjusting the user portrait according to the fourth mapping relationship includes: forming a new user portrait together with the user portrait according to the fourth mapping relationship.
  • obtain X interfaces within a preset time determine X browsing times corresponding to the X interfaces, filter X browsing times according to the second time threshold to obtain Y browsing times, and determine the Y browsing times
  • determine the Z categories corresponding to the Y interfaces where Z ⁇ Y, determine the number of interfaces included in each category of the Z categories, and determine the Y weights corresponding to the Y interfaces according to the Y browsing time
  • the category weights of Z categories are determined according to Y weights
  • the user portrait is updated according to Z category weights.
  • determining the Y weights corresponding to the Y interfaces by the Y browsing times includes: performing a summation operation on the Y browsing times to obtain a total duration, and determining Z browsing times corresponding to the Z categories, wherein, among the Z categories The total browsing time corresponding to the interface included in each category is Z browsing time, and the ratio of Z browsing time to the total duration is calculated as Z weights corresponding to Z categories; updating the user portrait according to Z weights includes: establishing Z The mapping relationship between the weights and the Z categories is the fifth mapping relationship, and the user portrait is adjusted according to the fifth mapping relationship, where adjusting the user portrait according to the fifth mapping relationship includes: forming a new user portrait according to the fifth mapping relationship and the user portrait .
  • Step 202 Input the user portrait into a pre-trained advertisement push model to obtain an advertisement push strategy.
  • the user portrait is used as an input to the advertisement push model to obtain the first calculation result, and the first calculation result is filtered according to the result threshold to determine the category corresponding to the value greater than the result threshold in the first calculation result.
  • the included number of values in the first calculation result determines that the category corresponding to the maximum number is the category of advertisement pushed by the advertisement pushing strategy.
  • Step 203 Push an advertisement according to the advertisement pushing strategy.
  • the category of the advertisement to be pushed corresponding to the advertisement pushing strategy is determined, and one advertisement is selected from the advertisements corresponding to the category of the advertisement to be pushed for pushing.
  • receive the response returned by the successful push advertisement obtain the category corresponding to the advertisement, and determine whether the advertisement is consulted based on the response. If so, determine the merchant corresponding to the advertisement, obtain the user's current location, extract the electronic map, and respond to the user on the electronic map Mark the current location, search the merchant on the electronic map to determine the merchant's location, mark the merchant's location on the electronic map, calculate the distance between the merchant's location and the user's current location, select the location corresponding to the smallest value in the distance, and push the location.
  • receive the response returned by the successfully pushed advertisement determine whether the advertisement has been reviewed based on the response, count the advertisements that have been consulted within the first set time, classify the consulted advertisements, and obtain the number of advertisements contained in each category , Determine the weight corresponding to each category, establish the mapping relationship between the consulted advertisement and category weight as the sixth mapping relationship, and combine the sixth mapping relationship with the user portrait to form a new user portrait.
  • FIG. 3 is a method for updating a user portrait disclosed in an embodiment of the present application.
  • the method is applied to an electronic device, and specifically includes:
  • Step 301 Collect position coordinates.
  • the indoor positioning device is turned on, and a collection request is sent to the indoor positioning.
  • the collection is used to request the indoor positioning device to collect position coordinates, extract an electronic map, mark the position coordinates on the electronic map, and collect the position coordinates at Information in the preset area, where the preset area may be square, round, rectangular, etc., which is not limited herein.
  • Step 302 Determine whether the location coordinate is a setting place, and if the location coordinate is a setting place, obtain M business information of the location coordinates and M residence times corresponding to the M businesses.
  • the setting place may include: food city, shopping mall, small commodity city, etc., not limited here;
  • the location coordinates are the setting place, collect the businesses whose location coordinates are in the preset area, record the changes of the location coordinates and the time corresponding to the location coordinates within the set time, and mark them on the electronic map.
  • the set time can be: 30min, 1h, 2h, etc., not limited here; according to the change of position coordinates and electronic map within the set time, determine the information of M businesses; determine the M stay time corresponding to M businesses according to the time corresponding to the position coordinates, where, determine The stay time corresponding to the merchant includes: determining the merchant area corresponding to the merchant, and determining the time difference between the time corresponding to the first position coordinate marked in the merchant area and the time corresponding to the last position coordinate marked in the merchant area as the stay time.
  • Step 303 Screen the M staying times according to the first time threshold to obtain N staying times, and determine N business information corresponding to the N staying times.
  • a preset first time threshold is extracted, where the first time threshold is used to screen M staying times, determine whether the M staying times are greater than the first time threshold, and obtain the M staying times greater than the first N residence times of the time threshold, where M and N are natural numbers greater than 0 and N ⁇ M, to determine N businesses corresponding to the N residence time, for example, the first time threshold is 5s, 5 businesses and 5 businesses
  • the corresponding 5 staying times are: 20s for the first store, 3s for the second store, 4s for the third store, 60s for the fourth store, and 120s for the fifth store.
  • the 5 stays are filtered to obtain 3 stays
  • the three staying times are: 20s, 60s, and 120s, and the three businesses corresponding to the three staying times are determined to be: the first store, the fourth store, and the fifth store.
  • Step 304 Acquire A categories corresponding to the N business information, and determine the number of businesses corresponding to each category in the A categories, where A ⁇ N.
  • the business information of N businesses includes: selling products, brand types, and classify the N businesses according to the store information to obtain A categories, where each category contains one or more businesses Count the number of businesses included in each category, where A is a natural number greater than 0 and A ⁇ N; for example, determine that the 3 businesses corresponding to 3 stays are: the first store, the fourth store, the fifth store, Among them, the first store is a clothing store, the fourth store is a restaurant, and the fifth store is a clothing store. There are 2 categories: clothing and gourmet, where the clothing category includes: the first store and the fifth store, and the gourmet category includes: Four shops.
  • Step 305 Determine A weights corresponding to the A categories according to the N residence times and the A categories;
  • calculating N staying times and performing a summation operation to obtain the total duration, and determining A staying times corresponding to A categories, wherein determining A staying times corresponding to A categories includes: calculating the corresponding number of stores included in the category The sum of the stay time is taken as the stay time of the category, and the ratio of A stay time to the total duration is calculated as the A weight corresponding to the A category; for example, the 3 stay times are: 20s, 60s, and 120s, and 3 stays are determined.
  • Step 306 Update the user portrait according to the A weights.
  • a mapping relationship between A weights and A categories is established as a fourth mapping relationship, and the first mapping relationship, the second mapping relationship, the third mapping relationship, and the fourth mapping relationship jointly construct a user portrait.
  • FIG. 4 is another method for updating a user portrait disclosed in an embodiment of the present application.
  • the method is applied to an electronic device, and specifically includes:
  • Step 401 Acquire X interfaces within a preset time, and determine X browsing times corresponding to the X interfaces.
  • Step 402 Filter the X browsing times according to the second time threshold to obtain Y browsing times, and determine Y interfaces corresponding to the Y browsing times.
  • a preset second time threshold is extracted, where the first time threshold is used to filter X browsing times, determine whether X browsing times are greater than the second time threshold, and obtain the X browsing times greater than the second Y browsing times of the time threshold, where X and Y are natural numbers greater than 0 and X ⁇ Y, which determines Y interfaces corresponding to the Y browsing times.
  • Step 403 Determine Z categories corresponding to the Y interfaces, where Z ⁇ Y.
  • obtain interface information of Y interfaces wherein the interface information includes: interface content, and Y interfaces are classified according to the interface information to obtain Z categories, wherein each category includes one or more interfaces, and the The number of interfaces included in each category, where Z is a natural number greater than 0 and Z ⁇ Y.
  • Step 404 Determine the number of interfaces included in each of the Z categories, determine Y weights corresponding to the Y interfaces according to the Y browsing times, and determine the Z categories according to the Y weights Category weight.
  • Y browsing times are calculated and summed to obtain the total duration, and Z browsing times corresponding to Z categories are determined.
  • determining Z browsing times corresponding to Z categories includes: calculating corresponding to stores included in the category The total browsing time is regarded as the browsing time of the category, and the ratio of the Z browsing time to the total duration is calculated as the Z weights corresponding to the Z categories.
  • Step 405 Update the user portrait according to the Z category weights.
  • a mapping relationship between Z weights and Z categories is established as a fifth mapping relationship, and the first mapping relationship, the second mapping relationship, the third mapping relationship, and the fifth mapping relationship jointly construct a user portrait.
  • FIG. 5, is an advertisement pushing device 500 disclosed in an embodiment of the present application, and specifically includes:
  • the obtaining unit 501 is used to collect historical data and personal information, and construct a user portrait based on the historical data and the personal information;
  • the calculation unit 502 is configured to input the user portrait into a pre-trained advertisement push model to obtain an advertisement push strategy;
  • the pushing unit 503 is used to push an advertisement according to the advertisement pushing strategy.
  • historical data is historical usage data of the electronic device, where , Historical usage data includes: application software installation data, power statistics, etc., personal information includes: user's age, user's occupation, user's gender, etc.
  • the obtaining unit 501 is specifically used to obtain the application software first when collecting installation data of the application software Installation list, obtain all application software names installed by the electronic device according to the installation list, query the application software according to the name of the application software to determine the category of the application software, mark different types of labels for the application software according to the category, and count all applications
  • the total number of software, the number of applications included in each category is counted, and the weight of each category is determined as the ratio of the number of applications included in each category to the total number of applications.
  • the obtaining unit 501 is specifically used to collect the usage data of the battery of the electronic device first According to the usage data of the battery, according to the usage data, obtain the electricity data used by each application software in an electricity usage cycle, determine the weight corresponding to each application software as the ratio of the electricity used by the application software to an electricity usage cycle, and obtain the application software
  • the categories of applications are marked with different types of labels for application software according to the category, the application software included in each category is counted, and the weight of each category is determined as the sum of the weights of the application software included in each category.
  • the obtaining unit 501 is specifically used to obtain the content of the SMS application when collecting personal information and obtain Obtain the preset keyword template from the SMS content of the SMS application, match the keyword template with the SMS content to obtain a matching result, and obtain the user's identity information from the matching result.
  • the identity information includes: user's age, user's occupation, user Gender, obtain the mapping relationship between personal information and weight, determine the age weight corresponding to the user’s age from the mapping relationship between personal information and weight, and determine the professional weight corresponding to the user’s occupation from the mapping relationship between personal information and weight, from the individual
  • the mapping relationship between the information and the weight determines the gender weight corresponding to the user's gender.
  • the obtaining unit 501 is specifically used to: establish a mapping relationship between application software and category weight as the first Mapping relationship, establishing the mapping relationship between the application software and the use frequency weight as the second mapping relationship, and determining the mapping relationship between the personal information and the weight as the third mapping relationship, the first mapping relationship, the second mapping relationship and the third mapping relationship together constitute the user portrait.
  • the obtaining unit 501 is specifically used to collect position coordinates and determine whether the position coordinates are a set place , If the location coordinate is the setting place, obtain the M business information of the location coordinates and the M staying times corresponding to the M businesses, filter the M staying times according to the first time threshold to obtain N staying times, and determine N N business information corresponding to the stay time, obtain A categories corresponding to the N business information, and determine the number of businesses corresponding to each category in the A category, where A ⁇ N, A is determined according to the N stay time and the A category A weights corresponding to each category, the user portrait is updated according to the A weights; wherein, determining the A weights corresponding to the A categories based on the N stay times and the A categories includes: performing summation on the N stay times Calculate the total duration, determine A stay time corresponding to A categories, and calculate the ratio of A stay time to the total duration
  • the obtaining unit 501 is specifically used to obtain X interfaces within a preset time and determine X X browsing times corresponding to each interface, filtering X browsing times according to the second time threshold to obtain Y browsing times, determining Y interfaces corresponding to the Y browsing times, and determining Z categories corresponding to the Y interfaces, Among them, Z ⁇ Y, determine the number of interfaces included in each category of Z categories, determine Y weights corresponding to Y interfaces based on Y browsing time, determine category weights of Z categories based on Y weights, and based on Z categories The weights update the user portrait; wherein the Y browsing times to determine the Y weights corresponding to the Y interfaces include: performing a summation operation on the Y browsing times to obtain the total duration, and determining the Z views corresponding to the Z categories Time, where the sum of the browsing time corresponding to the interface included
  • the calculation unit 502 is specifically used to: use the user portrait as an input to the advertisement push model to obtain a first calculation As a result, the first calculation result is filtered according to the result threshold, and the category corresponding to the value greater than the result threshold in the first calculation result is determined, and the number of values in the first calculation result included in the category is counted to determine a The category corresponding to the maximum number is the category of advertisements pushed by the advertisement push strategy.
  • the pushing unit 503 is specifically used to: determine the category of the advertisement to be pushed corresponding to the advertisement pushing strategy, and select an advertisement from the advertisements corresponding to the category of the advertisement to be pushed Push.
  • the pushing unit 503 is specifically used to: receive a response returned by a successfully pushed advertisement, obtain a category corresponding to the advertisement, and judge whether the advertisement is consulted according to the response, if so , Determine the merchant corresponding to the advertisement, obtain the user's current location, extract the electronic map, mark the user's current location on the electronic map, search the merchant on the electronic map to determine the merchant's location, mark the merchant's location on the electronic map, calculate the merchant The distance between the location and the user's current location, select the location corresponding to the minimum value in the distance, and push the location.
  • the pushing unit 503 is specifically used for: optionally, receiving a response returned by a successfully pushed advertisement, judging whether the advertisement is consulted according to the response, and counting first Advertisements that are consulted within a set time, classify the consulted advertisements, obtain the number of advertisements contained in each category, determine the weight corresponding to each category, and establish the mapping relationship between the consulted advertisements and category weights as the sixth mapping relationship , Sending the sixth mapping relationship to the obtaining unit 501 for updating the user portrait.
  • FIG. 6 is a block diagram of a partial structure of a mobile phone related to a mobile terminal provided by an embodiment of the present application.
  • the mobile phone includes: a radio frequency (Radio Frequency) circuit 910, a memory 920, an input and output unit 930, a dual card slot 940, a sensor 950, an audio collector 960, a wireless fidelity (WiFi) module 970, Application processor AP980, power supply 990 and other components.
  • a radio frequency (Radio Frequency) circuit 910 the structure of the mobile phone shown in FIG. 6 does not constitute a limitation on the mobile phone, and may include more or fewer components than those illustrated, or combine certain components, or different component arrangements, such as
  • the radio frequency circuit 910 may be connected to multiple antennas.
  • the dual card slot 940 may be used to fix the first SIM card and the second SIM card.
  • the input and output unit 930 may be used to receive inputted numeric or character information, and generate key signal input related to user settings and function control of the mobile phone.
  • the input and output unit 930 may include a touch screen 933 and other input devices 932.
  • the input and output unit 930 may also include other input devices 932.
  • other input devices 932 may include, but are not limited to, one or more of physical buttons, function keys (such as volume control buttons, switch buttons, etc.), trackball, mouse, joystick, and the like. among them,
  • the radio frequency circuit 910 is used to receive the connection request of the wearable device
  • the AP980 is used to establish a connection with the wearable device according to the connection request.
  • the AP980 is the control center of the mobile phone. It uses various interfaces and lines to connect various parts of the entire mobile phone. By running or executing the software programs and/or modules stored in the memory 920, and calling the data stored in the memory 920, the mobile phone’s control center is executed. Various functions and processing data to monitor the mobile phone as a whole.
  • the AP980 may include one or more processing units; optionally, the AP980 may integrate an application processor and a modem processor, where the application processor mainly processes the operating system, user interface, and application programs, etc.
  • the modulation processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the AP980.
  • the memory 920 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.
  • a non-volatile memory such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.
  • the RF circuit 910 can be used for information reception and transmission.
  • the RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (LNA), a duplexer, and the like.
  • the RF circuit 910 can also communicate with other devices through a wireless communication network.
  • the above wireless communication can use any communication standard or protocol, including but not limited to global mobile communication system, general packet radio service, code division multiple access, broadband code division multiple access, long-term evolution, new air interface, e-mail, short message service, etc. .
  • the mobile phone may further include at least one sensor 950, such as an ultrasonic sensor, an angle sensor, a light sensor, a motion sensor, and other sensors.
  • the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the touch display screen according to the brightness of the ambient light, and the proximity sensor may turn off the touch display screen when the mobile phone moves to the ear And/or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when at rest, and can be used to identify mobile phone gesture applications (such as horizontal and vertical screen switching, related Games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tap), etc.; other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that can also be configured on mobile phones are no longer here Repeat.
  • mobile phone gesture applications such as horizontal and vertical screen switching, related Games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tap), etc.
  • other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that can also be configured on mobile phones are no longer here Repeat.
  • the audio collector 960, the speaker 961, and the microphone 962 can provide an audio interface between the user and the mobile phone.
  • the audio collector 960 can transmit the converted electrical signal of the received audio data to the speaker 961, which converts the speaker 961 into a sound signal to play; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal, which is collected by the audio
  • the receiver 960 converts it into audio data after receiving it, and then processes the audio data to play with the AP 980, and then sends it to another mobile phone through the RF circuit 910, or plays the audio data to the memory 920 for further processing.
  • WiFi is a short-distance wireless transmission technology.
  • mobile phones can help users send and receive e-mails, browse web pages, and access streaming media. It provides users with wireless broadband Internet access.
  • FIG. 6 shows the WiFi module 970, it can be understood that it is not a necessary component of the mobile phone, and can be omitted as long as it does not change the essence of the application as needed.
  • the mobile phone also includes a power supply 990 (such as a battery) that supplies power to various components.
  • a power supply 990 (such as a battery) that supplies power to various components.
  • the power supply can be logically connected to the AP980 through a power management system, so as to realize functions such as charging, discharging, and power management through the power management system.
  • the mobile phone may further include a camera, a Bluetooth module, a fill light device, a light sensor, etc., which will not be repeated here.
  • An embodiment of the present application further 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 method of advertising push as described in the above method embodiments Part or all steps.
  • An embodiment of the present application further provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program is operable to cause the computer to execute as described in the above method embodiments Part or all of the steps of any kind of advertising push method.
  • the disclosed device may be implemented in other ways.
  • the device embodiments described above are only schematic.
  • the division of the unit is only a logical function division.
  • 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.
  • 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 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.
  • 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.

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Abstract

本申请实施例公开了一种广告推送方法及相关设备，应用于电子设备，所述方法包括：采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像；将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略；依据所述广告推送策略推送广告。可见，本申请实施例通过采集历史数据与个人信息构建用户画像，实现针对性广告推送，具有用户体验度高的优点。

Description

一种广告推送方法及相关设备 技术领域
本申请涉及计算机技术领域，具体涉及一种广告推送方法及相关设备。
背景技术
随着智能手机等智能设备的普及，应用软件成为手机中必不可少的一部分，随着应用软件的增多，应用软件成为一个进行广告宣传的良好的媒介。
一般情况下，手机内的应用软件会向用户进行广告推送，无法进行针对性推送，而多次推送用户不敢兴趣的广告容易导致用户将应用软件关闭，甚至导致用户将应用软件卸载，用户体验度低。
发明内容
本申请实施例提供了一种广告推送方法及相关设备，能够对用户进行针对性的广告推送。
第一方面，本申请实施例提供了一种广告推送方法，应用于电子设备，所述方法包括：
采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像；
将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略；
依据所述广告推送策略推送广告。
第二方面，本申请实施例提供了一种广告推送装置，所述广告推送装置包括：
获取单元，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像；
计算单元，用于将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略；
推送单元，用于依据所述广告推送策略推送广告。
第三方面，本申请实施例提供一种移动终端，包括处理器、存储器、通信接口，以及一个或多个程序，其中，上述一个或多个程序被存储在上述存储器中，并且被配置由上述处理器执行，上述程序包括用于执行本申请实施例第一方面中的步骤的指令。
第四方面，本申请实施例提供了一种计算机可读存储介质，其中，上述计算机可读存储介质存储用于电子数据交换的计算机程序，其中，上述计算机程序使得计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。
第五方面，本申请实施例提供了一种计算机程序产品，其中，上述计算机程序产品包 括存储了计算机程序的非瞬时性计算机可读存储介质，上述计算机程序可操作来使计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。该计算机程序产品可以为一个软件安装包。
可以看出，本申请实施例中，电子设备采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像；将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略；依据所述广告推送策略推送广告。可见，电子设备通过构建用户画像，将用户画像结合广告推送模型进行分析获得广告推送策略，满足了针对性推送，提高了用户体验度。
附图说明
下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍。为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本申请实施例公开的一种广告推送方法的系统结构示意图。
图2是本申请实施例公开的一种广告推送方法的流程示意图。
图3是本申请实施例公开的一种用户画像更新的方法。
图4是本申请实施例公开的另一种用户画像更新的方法。
图5是本申请实施例公开的一种广告推送设备。
图6是本申请实施例提供的移动终端相关的手机的部分结构的框图。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其他步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本申请实施例所涉及到的移动终端可以包括各种具有无线通信功能的手持设备、车载设备、可穿戴设备、计算设备或连接到无线调制解调器的其他处理设备，以及各种形式的用户设备(user equipment，UE)，移动台(mobile station，MS)，终端设备(terminal device)等等。为方便描述，上面提到的设备统称为电子设备。
下面对本申请实施例进行详细介绍。
请参阅图1，图1是本申请实施例公开的一种广告推送方法的系统结构示意图，其中移动终端101与云服务器102通信连接，云服务器102与第三方服务器103通信连接。移动终端101在采集到历史数据与个人信息后，向云服务器102器发送历史数据与个人信息，云服务器102接收到历史数据与个人信息构建用户画像，云服务器102向第三方服务器103发送用户画像，第三方服务器103接收到用户画像后，依据用户画像作为广告推送模型的输入进行计算得到广告推送策略，第三方服务器103向移动终端云服务器102发送广告推送策略，云服务器102根据所述广告推送策略筛选出广告发送至移动终端101。移动终端101接收云服务器102发送的广告并在广告区域显示广告完成广告推送。
请参阅图2，图2是本申请实施例公开的一种广告推送方法的流程示意图，所述方法应用于电子设备，具体包括：
步骤201、采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像。
可选的，历史数据为该电子设备的历史使用数据，其中，历史使用数据包括：应用软件的安装数据、电量的统计数据等等，个人信息包括：用户的年龄、用户的职业、用户的性别等等。
可选的，采集应用软件的安装数据时，首先获取应用软件的安装列表，依据该安装列表获取该电子设备安装的全部应用软件名称，依据该应用软件的名称查询该应用软件确定该应用软件的类别，依据类别对应用软件标记不同的类型标签，统计所有应用软件的总数量，统计每个类别中包含的应用软件的数量，确定每个类别的权重为每个类别包含的应用软件的数量与应用软件的总数量的比值，例如，获取应用软件的安装列表，安装列表包括：微信、QQ、淘宝、网易考拉、王者荣耀、穿越火线、刺激战场，确定安装列表中包含的应用软件的类别分别为：即时通讯软件、购物软件和游戏软件，其中，即时通讯软件包括：微信和QQ，购物软件包括：淘宝和网易考拉，游戏软件包括：王者荣耀、穿越火线和刺激战场，统计每个类别的应用软件数量为：即时通讯软件：2个、购物软件：2个、游戏软件：3个，确定所有应用软件的总数量为7个，依据总数量及3个类别的应用软件数量确定3 个类别权重，其中，即时通讯软件的类别权重为0.286，购物软件的类别权重为0.286，游戏软件的类别权重为0.428。
可选的，采集该电子设备电池的使用数据时，首先获取电池的使用数据，依据该使用数据获取在一个电量使用周期内每个应用软件使用的电量数据，确定每个应用软件对应的权重为该应用软件使用电量占一个电量使用周期的比例，获取应用软件的类别，依据类别对应用软件标记不同的类型标签，统计每个类别中包含的应用软件，确定每个类别的权重为每个类别包含的应用软件的权重之和，例如，一个电量使用周期内电量的使用数据为：微信20％、QQ15％、淘宝10％、网易考拉5％、王者荣耀20％、穿越火线20％、刺激战场10％，确定一个电量使用周期内包含的应用软件为：微信、QQ、淘宝、网易考拉、王者荣耀、穿越火线、刺激战场，且每个应用软件的权重为：微信对应权重为0.2、QQ对应的权重为0.15、淘宝对应的权重为0.1、网易考拉对应的权重为0.05、王者荣耀对应的使用频率权重为0.2、穿越火线对应的使用频率权重为0.2、刺激战场对应的权重为0.1，确定安装列表中包含的应用软件的类别分别为：即时通讯软件、购物软件和游戏软件，其中，即时通讯软件包括：微信和QQ，购物软件包括：淘宝和网易考拉，游戏软件包括：王者荣耀、穿越火线和刺激战场，依据应用软件的权重与应用软件的类别确定每一类别对应的使用频率权重，其中，即时通讯软件的权重为0.35，购物软件的使用频率权重为0.15，游戏软件的使用频率权重为0.5。
可选的，采集个人信息时，获取短信应用的内容，获取短信应用的短信内容，获取预设的关键字模板，将关键字模板与短信内容进行匹配得到匹配结果，从匹配结果中获取用户的身份信息，身份信息包括：用户的年龄、用户的职业、用户的性别，获取个人信息与权重的映射关系，从个人信息与权重的映射关系中确定用户的年龄对应的年龄权重，从个人信息与权重的映射关系中确定用户的职业对应的职业权重，从个人信息与权重的映射关系中确定用户的性别对应的性别权重，例如，通过关键字匹配从短信应用的内容中确定用户的年龄为22岁、用户的职业为医生、用户的性别为女性，从个人信息与权重的映射关系中确定：用户的年龄对应的权重为0.2，用户的职业对应的权重为0.5，用户的性别对应的权重为0.3。
可选的，建立应用软件与类别权重的映射关系为第一映射关系，建立应用软件与使用频率权重的映射关系为第二映射关系，确定个人信息与权重的映射关系为第三映射关系，第一映射关系、第二映射关系与第三映射关系共同构成用户画像。
可选的，采集位置坐标，判断位置坐标是否为设定场所，若所位置坐标为设定场所，获取位置坐标的M个商家信息及M个商家对应的M个停留时间，依据第一时间阈值对M个停留时间进行筛选得到N个停留时间，确定N个停留时间对应的N个商家信息，获取N个商家信息对应的A个类别，确定A个类别中每个类别对应的商家数量，其中，A≤N，依据N个停留时间与A个类别确定A个类别对应的A个权重，依据A个权重对用户画像进 行更新。
其中，所述依据N个停留时间与A个类别确定A个类别对应的A个权重包括：对N个停留时间执行求和运算得到总时长，确定A个类别对应的A个停留时间，计算A个停留时间与总时长的比值作为A个类别对应的A个权重；依据A个权重对用户画像进行更新包括：建立A个权重与A个类别的映射关系为第四映射关系，依据第四映射关系调整用户画像，其中，依据第四映射关系调整用户画像包括：依据第四映射关系与用户画像共同构成新的用户画像。
可选的，获取预设时间内的X个界面，确定X个界面对应的X个浏览时间，依据第二时间阈值对X个浏览时间进行筛选得到Y个浏览时间，确定所述Y个浏览时间对应的Y个界面，确定Y个界面对应的Z个类别，其中，Z≤Y，确定Z个类别中每个类别包含的界面数量，依据Y个浏览时间确定Y个界面对应的Y个权重，依据Y个权重确定Z个类别的类别权重，依据Z个类别权重对所述用户画像进行更新。
其中，所述Y个浏览时间确定Y个界面对应的Y个权重包括：对Y个浏览时间执行求和运算得到总时长，确定Z个类别对应的Z个浏览时间，其中，确定Z个类别中每个类别包含的界面对应的浏览时间总和为Z个浏览时间，计算Z个浏览时间与总时长的比值作为Z个类别对应的Z个权重；依据Z个权重对用户画像进行更新包括：建立Z个权重与Z个类别的映射关系为第五映射关系，依据第五映射关系调整用户画像，其中，依据第五映射关系调整用户画像包括：依据第五映射关系与用户画像共同构成新的用户画像。
步骤202、将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略。
可选的，将用户画像作为广告推送模型的输入得到第一计算结果，依据结果阈值对第一计算结果进行筛选，确定第一计算结果中大于所述结果阈值的值对应的类别，统计类别中包含的所述第一计算结果中的值的个数，确定个数的最大值对应的类别为广告推送策略推送的广告类别。
步骤203、依据所述广告推送策略推送广告。
可选的，确定广告推送策略对应的待推送广告类别，从待推送广告类别对应的广告中选择一个广告进行推送。
可选的，接收推送成功的广告返回的响应，获取广告对应的类别，依据响应判断广告是否被查阅，如是，确定广告对应的商户，获取用户当前位置，提取电子地图，在电子地图上对用户当前位置进行标记，在电子地图上对商户进行搜索确定商户位置，在电子地图上商户位置进行标记，计算商户位置与用户当前位置的距离，选择距离中的最小值对应的位置，推送位置。
可选的，接收推送成功的广告返回的响应，依据响应判断广告是否被查阅，统计第一设定时间内被查阅的广告，对被查阅的广告进行分类，获取每个类别中包含的广告数量，确定每种类别对应的权重，建立被查阅广告与类别权重的映射关系为第六映射关系，将第 六映射关系与用户画像共同构成新的用户画像。
请参阅图3，图3是本申请实施例公开的一种用户画像更新的方法，该方法应用于电子设备，具体包括：
步骤301、采集位置坐标。
可选的，开启室内定位设备，向所述室内定位发送采集请求，所述采集用于请求所述室内定位设备采集位置坐标，提取电子地图，在电子地图上标记位置坐标，采集该位置坐标在预设区域内的信息，其中，预设区域可以为正方形、圆形、长方形等等，在此不作限定。
步骤302、判断所述位置坐标是否为设定场所，若所述位置坐标为设定场所，获取所述位置坐标的M个商家信息及所述M个商家对应的M个停留时间。
可选的，获取位置坐标在预设区域内的信息，依据信息判断位置坐标是否为设定场所，其中，设定场所可以包括：美食城、商城、小商品城等等，在此不作限定；若位置坐标为设定场所，采集位置坐标在预设区域内的商家，记录设定时间内位置坐标的变化及位置坐标对应的时间，在电子地图上标记，其中，设定时间可以为：30min、1h、2h等等，在此不作限定；依据设定时间内位置坐标的变化与电子地图，确定M个商家信息；依据位置坐标对应的时间确定M个商家对应的M个停留时间，其中，确定商家对应的停留时间包括：确定商家对应的商家区域，确定标记在商家区域内的首个位置坐标对应的时间与标记在商家区域内的最后一个位置坐标对应的时间之间的时间差为停留时间。
步骤303、依据第一时间阈值对所述M个停留时间进行筛选得到N个停留时间，确定所述N个停留时间对应的N个商家信息。
可选的，提取预设的第一时间阈值，其中，第一时间阈值用于对M个停留时间进行筛选，判断M个停留时间是否大于第一时间阈值，获取M个停留时间中大于第一时间阈值的N个停留时间，其中，M、N为大于0的自然数且N≤M，确定N个停留时间对应的N个商家，例如，第一时间阈值为5s，5个商家及5个商家对应的5个停留时间为：第一商店20s、第二商店3s、第三商店4s、第四商店60s、第五商店120s，依据第一时间阈值对5个停留时间进行筛选得到3个停留时间，3个停留时间分别为：20s、60s、120s，确定3个停留时间对应的3个商家为：第一商店、第四商店、第五商店。
步骤304、获取所述N个商家信息对应的A个类别，确定所述A个类别中每个类别对应的商家数量，其中，A≤N。
可选的，获取N个商家的商家信息，其中，商家信息包括：销售产品、品牌类型，依据商店信息对N个商家进行分类得到A个类别，其中，每个类别中包含一个或一个以上商家，统计每个类别中包含的商家数量，其中，A为大于0的自然数且A≤N；例如，确定3个停留时间对应的3个商家为：第一商店、第四商店、第五商店，其中，第一商店为服装店，第四商店为饭店，第五商店为服装店，得到2个类别：服装与美食，其中，服装类包 括：第一商店与第五商店，美食类包括：第四商店。
步骤305、依据所述N个停留时间与所述A个类别确定所述A个类别对应的A个权重；
可选的，计算N个停留时间进行求和运算得到总时长，确定A个类别对应的A个停留时间，其中，确定A个类别对应的A个停留时间包括：计算类别中包含的商店对应的停留时间的总和作为该类别的停留时间，计算A个停留时间与总时长的比值作为A个类别对应的A个权重；例如，3个停留时间分别为：20s、60s、120s，确定3个停留时间对应的3个商家为：第一商店、第四商店、第五商店，服装类包括：第一商店与第五商店，美食类包括：第四商店，则服装类对应的权重为(20+120)/(20+60+120)＝0.7，美食类对应的权重为60/(20+60+120)＝0.3。
步骤306、依据所述A个权重对所述用户画像进行更新。
可选的，建立A个权重与A个类别的映射关系为第四映射关系，第一映射关系、第二映射关系、第三映射关系与第四映射关系共同构建用户画像。
请参阅图4，图4是本申请实施例公开的另一种用户画像更新的方法，该方法应用于电子设备，具体包括：
步骤401、获取预设时间内的X个界面，确定所述X个界面对应的X个浏览时间。
可选的，对显示界面进行监测，获取预设时间内显示界面显示的X个界面，其中，预设时间可以为1min、2min、30min等等，在此不作限定，获取X个界面的显示时间，确定X个界面的显示时间为X个界面对应的X个浏览时间。
步骤402、依据第二时间阈值对所述X个浏览时间进行筛选得到Y个浏览时间，确定所述Y个浏览时间对应的Y个界面。
可选的，提取预设的第二时间阈值，其中，第一时间阈值用于对X个浏览时间进行筛选，判断X个浏览时间是否大于第二时间阈值，获取X个浏览时间中大于第二时间阈值的Y个浏览时间，其中，X、Y为大于0的自然数且X≤Y，确定Y个浏览时间对应的Y个界面。
步骤403、确定所述Y个界面对应的Z个类别，其中，Z≤Y。
可选的，获取Y个界面的界面信息，其中，界面信息包括：界面内容，依据界面信息对Y个界面进行分类得到Z个类别，其中，每个类别中包含一个或一个以上界面，统计每个类别中包含的界面数量，其中，Z为大于0的自然数且Z≤Y。
步骤404、确定所述Z个类别中每个类别包含的界面数量，依据所述Y个浏览时间确定所述Y个界面对应的Y个权重，依据所述Y个权重确定所述Z个类别的类别权重。
可选的，计算Y个浏览时间进行求和运算得到总时长，确定Z个类别对应的Z个浏览时间，其中，确定Z个类别对应的Z个浏览时间包括：计算类别中包含的商店对应的浏览时间的总和作为该类别的浏览时间，计算Z个浏览时间与总时长的比值作为Z个类别对应的Z个权重。
步骤405、依据所述Z个类别权重对所述用户画像进行更新。
可选的，建立Z个权重与Z个类别的映射关系为第五映射关系，第一映射关系、第二映射关系、第三映射关系与第五映射关系共同构建用户画像。
请参阅图5，图5是本申请实施例公开的一种广告推送设备500，具体包括：
获取单元501，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像；
计算单元502，用于将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略；
推送单元503，用于依据所述广告推送策略推送广告。
在一可能的示例中，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像，获取单元501，具体用于：历史数据为该电子设备的历史使用数据，其中，历史使用数据包括：应用软件的安装数据、电量的统计数据等等，个人信息包括：用户的年龄、用户的职业、用户的性别等等。
在一可能的示例中，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像，获取单元501，具体用于：采集应用软件的安装数据时，首先获取应用软件的安装列表，依据该安装列表获取该电子设备安装的全部应用软件名称，依据该应用软件的名称查询该应用软件确定该应用软件的类别，依据类别对应用软件标记不同的类型标签，统计所有应用软件的总数量，统计每个类别中包含的应用软件的数量，确定每个类别的权重为每个类别包含的应用软件的数量与应用软件的总数量的比值。
在一可能的示例中，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像，获取单元501，具体用于：采集该电子设备电池的使用数据时，首先获取电池的使用数据，依据该使用数据获取在一个电量使用周期内每个应用软件使用的电量数据，确定每个应用软件对应的权重为该应用软件使用电量占一个电量使用周期的比例，获取应用软件的类别，依据类别对应用软件标记不同的类型标签，统计每个类别中包含的应用软件，确定每个类别的权重为每个类别包含的应用软件的权重之和。
在一可能的示例中，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像，获取单元501，具体用于：采集个人信息时，获取短信应用的内容，获取短信应用的短信内容，获取预设的关键字模板，将关键字模板与短信内容进行匹配得到匹配结果，从匹配结果中获取用户的身份信息，身份信息包括：用户的年龄、用户的职业、用户的性别，获取个人信息与权重的映射关系，从个人信息与权重的映射关系中确定用户的年龄对应的年龄权重，从个人信息与权重的映射关系中确定用户的职业对应的职业权重，从个人信息与权重的映射关系中确定用户的性别对应的性别权重。
在一可能的示例中，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像，获取单元501，具体用于：建立应用软件与类别权重的映射关系为第一 映射关系，建立应用软件与使用频率权重的映射关系为第二映射关系，确定个人信息与权重的映射关系为第三映射关系，第一映射关系、第二映射关系与第三映射关系共同构成用户画像。
在一可能的示例中，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像，获取单元501，具体用于：采集位置坐标，判断位置坐标是否为设定场所，若所位置坐标为设定场所，获取位置坐标的M个商家信息及M个商家对应的M个停留时间，依据第一时间阈值对M个停留时间进行筛选得到N个停留时间，确定N个停留时间对应的N个商家信息，获取N个商家信息对应的A个类别，确定A个类别中每个类别对应的商家数量，其中，A≤N，依据N个停留时间与A个类别确定A个类别对应的A个权重，依据A个权重对用户画像进行更新；其中，所述依据N个停留时间与A个类别确定A个类别对应的A个权重包括：对N个停留时间执行求和运算得到总时长，确定A个类别对应的A个停留时间，计算A个停留时间与总时长的比值作为A个类别对应的A个权重；依据A个权重对用户画像进行更新包括：建立A个权重与A个类别的映射关系为第四映射关系，依据第四映射关系调整用户画像，其中，依据第四映射关系调整用户画像包括：依据第四映射关系与用户画像共同构成新的用户画像。
在一可能的示例中，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像，获取单元501，具体用于：获取预设时间内的X个界面，确定X个界面对应的X个浏览时间，依据第二时间阈值对X个浏览时间进行筛选得到Y个浏览时间，确定所述Y个浏览时间对应的Y个界面，确定Y个界面对应的Z个类别，其中，Z≤Y，确定Z个类别中每个类别包含的界面数量，依据Y个浏览时间确定Y个界面对应的Y个权重，依据Y个权重确定Z个类别的类别权重，依据Z个类别权重对所述用户画像进行更新；其中，所述Y个浏览时间确定Y个界面对应的Y个权重包括：对Y个浏览时间执行求和运算得到总时长，确定Z个类别对应的Z个浏览时间，其中，确定Z个类别中每个类别包含的界面对应的浏览时间总和为Z个浏览时间，计算Z个浏览时间与总时长的比值作为Z个类别对应的Z个权重；依据Z个权重对用户画像进行更新包括：建立Z个权重与Z个类别的映射关系为第五映射关系，依据第五映射关系调整用户画像，其中，依据第五映射关系调整用户画像包括：依据第五映射关系与用户画像共同构成新的用户画像。
在一可能的示例中，用于将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略，计算单元502，具体用于：将用户画像作为广告推送模型的输入得到第一计算结果，依据结果阈值对第一计算结果进行筛选，确定第一计算结果中大于所述结果阈值的值对应的类别，统计类别中包含的所述第一计算结果中的值的个数，确定个数的最大值对应的类别为广告推送策略推送的广告类别。
在一可能的示例中，用于依据所述广告推送策略推送广告，推送单元503，具体用于：确定广告推送策略对应的待推送广告类别，从待推送广告类别对应的广告中选择一个广告 进行推送。
在一可能的示例中，用于依据所述广告推送策略推送广告，推送单元503，具体用于：接收推送成功的广告返回的响应，获取广告对应的类别，依据响应判断广告是否被查阅，如是，确定广告对应的商户，获取用户当前位置，提取电子地图，在电子地图上对用户当前位置进行标记，在电子地图上对商户进行搜索确定商户位置，在电子地图上商户位置进行标记，计算商户位置与用户当前位置的距离，选择距离中的最小值对应的位置，推送位置。
在一可能的示例中，用于依据所述广告推送策略推送广告，推送单元503，具体用于：可选的，接收推送成功的广告返回的响应，依据响应判断广告是否被查阅，统计第一设定时间内被查阅的广告，对被查阅的广告进行分类，获取每个类别中包含的广告数量，确定每种类别对应的权重，建立被查阅广告与类别权重的映射关系为第六映射关系，将第六映射关系发送至获取单元501以用于对用户画像进行更新。
请参阅图6，图6是本申请实施例提供的移动终端相关的手机的部分结构的框图。参考图6，手机包括：射频(Radio Frequency，RF)电路910、存储器920、输入输出单元930、双卡槽940、传感器950、音频采集器960、无线保真(Wireless Fidelity，WiFi)模块970、应用处理器AP980、电源990等部件。本领域技术人员可以理解，图6中示出的手机结构并不构成对手机的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，例如该射频电路910可以连接多根天线。
下面结合图6对手机的各个构成部件进行具体的介绍：
双卡槽940可用于固定第一SIM卡与第二SIM卡。
输入输出单元930可用于接收输入的数字或字符信息，以及产生与手机的用户设置以及功能控制有关的键信号输入。具体地，输入输出单元930可包括触控显示屏933以及其他输入设备932。输入输出单元930还可以包括其他输入设备932。具体地，其他输入设备932可以包括但不限于物理按键、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。其中，
射频电路910，用于接收可穿戴设备的连接请求；
AP980，用于依据所述连接请求建立与可穿戴设备的连接。
AP980是手机的控制中心，利用各种接口和线路连接整个手机的各个部分，通过运行或执行存储在存储器920内的软件程序和/或模块，以及调用存储在存储器920内的数据，执行手机的各种功能和处理数据，从而对手机进行整体监控。可选的，AP980可包括一个或多个处理单元；可选的，AP980可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到AP980中。
此外，存储器920可以包括高速随机存取存储器，还可以包括非易失性存储器，例如 至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
RF电路910可用于信息的接收和发送。通常，RF电路910包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器(Low Noise Amplifier，LNA)、双工器等。此外，RF电路910还可以通过无线通信与网络和其他设备通信。上述无线通信可以使用任一通信标准或协议，包括但不限于全球移动通讯系统、通用分组无线服务、码分多址、宽带码分多址、长期演进、新空口、电子邮件、短消息服务等。
手机还可包括至少一种传感器950，比如超声波传感器、角度传感器、光传感器、运动传感器以及其他传感器。具体地，光传感器可包括环境光传感器及接近传感器，其中，环境光传感器可根据环境光线的明暗来调节触控显示屏的亮度，接近传感器可在手机移动到耳边时，关闭触控显示屏和/或背光。作为运动传感器的一种，加速计传感器可检测各个方向上(一般为三轴)加速度的大小，静止时可检测出重力的大小及方向，可用于识别手机姿态的应用(比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等；至于手机还可配置的陀螺仪、气压计、湿度计、温度计、红外线传感器等其他传感器，在此不再赘述。
音频采集器960、扬声器961，传声器962可提供用户与手机之间的音频接口。音频采集器960可将接收到的音频数据转换后的电信号，传输到扬声器961，由扬声器961转换为声音信号播放；另一方面，传声器962将收集的声音信号转换为电信号，由音频采集器960接收后转换为音频数据，再将音频数据播放AP980处理后，经RF电路910以发送给比如另一手机，或者将音频数据播放至存储器920以便进一步处理。
WiFi属于短距离无线传输技术，手机通过WiFi模块970可以帮助用户收发电子邮件、浏览网页和访问流式媒体等，它为用户提供了无线的宽带互联网访问。虽然图6示出了WiFi模块970，但是可以理解的是，其并不属于手机的必须构成，完全可以根据需要在不改变申请的本质的范围内而省略。
手机还包括给各个部件供电的电源990(比如电池)，可选的，电源可以通过电源管理系统与AP980逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。
尽管未示出，手机还可以包括摄像头、蓝牙模块、补光装置、光线传感器等，在此不再赘述。
本申请实施例还提供一种计算机存储介质，其中，该计算机存储介质存储用于电子数据交换的计算机程序，该计算机程序使得计算机执行如上述方法实施例中记载的任何一种广告推送的方法的部分或全部步骤。
本申请实施例还提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如上述方法实施例中记载的任何一种广告推送的方法的部分或全部步骤。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件程序模块的形式实现。
以上是本申请实施例的实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本申请实施例原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也视为本申请的保护范围。

Claims (20)

  1. 一种广告推送方法，其特征在于，所述方法应用于电子设备，所述方法包括：
    采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像；
    将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略；
    依据所述广告推送策略推送广告。
  2. 根据权利要求1所述的方法，其特征在于，所述将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略包括：
    将所述用户画像作为所述广告推送模型的输入得到第一计算结果；
    依据结果阈值对所述第一计算结果进行筛选，确定所述第一计算结果中大于所述结果阈值的值对应的类别；
    统计所述类别中包含的所述第一计算结果中的值的个数；
    确定所述个数的最大值对应的类别为所述广告推送策略推送的广告类别。
  3. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    采集位置坐标；
    判断所述位置坐标是否为设定场所，若所述位置坐标为设定场所，获取所述位置坐标的M个商家信息及所述M个商家对应的M个停留时间；
    依据第一时间阈值对所述M个停留时间进行筛选得到N个停留时间，确定所述N个停留时间对应的N个商家信息；
    获取所述N个商家信息对应的A个类别，确定所述A个类别中每个类别对应的商家数量，其中，A≤N；
    依据所述N个停留时间与所述A个类别确定所述A个类别对应的A个权重；
    依据所述A个权重对所述用户画像进行更新。
  4. 根据权利要求3所述的方法，其特征在于，所述依据所述N个停留时间与所述A个类别确定所述A个类别对应的A个权重包括：
    对所述N个停留时间执行求和运算得到总时长；
    确定所述A个类别对应的A个停留时间；
    计算所述A个停留时间与所述总时长的比值作为所述A个类别对应的A个权重。
  5. 根据权利要求3所述的方法，其特征在于，所述依据所述A个权重对所述用户画像进行更新包括：
    建立所述A个权重与所述A个类别的映射关系；
    依据所述映射关系调整所述用户画像。
  6. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    获取预设时间内的X个界面，确定所述X个界面对应的X个浏览时间；
    依据第二时间阈值对所述X个浏览时间进行筛选得到Y个浏览时间，确定所述Y个浏览时间对应的Y个界面；
    确定所述Y个界面对应的Z个类别，其中，Z≤Y；
    确定所述Z个类别中每个类别包含的界面数量，依据所述Y个浏览时间确定所述Y个界面对应的Y个权重，依据所述Y个权重确定所述Z个类别的类别权重；
    依据所述Z个类别权重对所述用户画像进行更新。
  7. 根据权利要求1所述的方法，其特征在于，所述依据所述历史数据与所述个人信息构建用户画像包括：
    所述历史数据包括：应用软件的安装数据、电量的使用数据；
    所述个人信息包括：年龄、职业、性别；
    获取所述应用软件的安装数据，所述安装数据包括：获取应用软件的安装列表，将所述应用软件分类并标记不同的类型标签，计算每类应用软件的数量与所述应用软件的总数的比值作为类别权重，建立所述应用软件与所述类别权重的映射关系为第一映射关系；
    获取所述电量的使用数据，所述使用数据包括：所述应用软件消耗的电量百分比，依据所述电量使用数据确定所述应用软件的使用时长，依据使用时长确定所述应用软件对应的使用频率权重，建立所述应用软件与所述使用频率权重的映射关系为第二映射关系；
    获取短信应用的短信内容，获取预设的关键字模板，将所述关键字模板与所述短信内容进行匹配得到匹配结果，从所述匹配结果中获取用户的身份信息，所述身份信息包括：所述年龄、所述职业、所述性别，确定所述年龄对应的年龄权重，确定所述职业对应的职业权重，确定所述性别对应的性别权重，建立第三映射关系，所述第三映射关系包括：所述年龄与所述年龄权重的映射关系、所述职业与所述职业权重的映射关系、所述性别与所述性别权重的映射关系；
    所述第一映射关系、所述第二映射关系、所述第三映射关系共同构成用户画像。
  8. 根据权利要求1所述的方法，其特征在于，所述依据所述广告推送策略推送广告包括：
    确定所述广告推送策略对应的所述待推送广告类别；
    从所述待推送广告类别对应的广告中选择一个广告进行推送。
  9. 根据权利要求1所述的方法，其特征在于，所述依据所述广告推送策略推送广告之后还包括：
    接收推送成功的广告返回的响应；
    获取所述广告对应的类别，依据所述响应判断所述广告是否被查阅；
    如是，确定所述广告对应的商户，获取所述用户当前位置，提取电子地图，在所述电子地图上对所述用户当前位置进行标记，在所述电子地图上对所述商户进行搜索确定商户位置；
    在所述电子地图上对所述商户位置进行标记，计算所述商户位置与所述用户当前位置的距离，选择所述距离中的最小值对应的位置，推送所述位置。
  10. 一种广告推送的设备，其特征在于，包括：
    获取单元，用于采集历史数据与个人信息，依据所述历史数据与所述个人信息构建用户画像；
    计算单元，用于将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略；
    推送单元，用于依据所述广告推送策略推送广告。
  11. 根据权利要求10所述的设备，其特征在于，所述将所述用户画像输入到预先训练好的广告推送模型，得到广告推送策略方面，所述计算单元用于：
    将所述用户画像作为所述广告推送模型的输入得到第一计算结果；依据结果阈值对所述第一计算结果进行筛选，确定所述第一计算结果中大于所述结果阈值的值对应的类别；统计所述类别中包含的所述第一计算结果中的值的个数；
    确定所述个数的最大值对应的类别为所述广告推送策略推送的广告类别。
  12. 根据权利要求10所述的装置，其特征在于，所述装置还包括更新单元，所述更新单元具体用于：
    采集位置坐标；判断所述位置坐标是否为设定场所，若所述位置坐标为设定场所，获取所述位置坐标的M个商家信息及所述M个商家对应的M个停留时间；依据第一时间阈值对所述M个停留时间进行筛选得到N个停留时间，确定所述N个停留时间对应的N个商家信息；获取所述N个商家信息对应的A个类别，确定所述A个类别中每个类别对应的商家数量，其中，A≤N；依据所述N个停留时间与所述A个类别确定所述A个类别对应的A个权重；依据所述A个权重对所述用户画像进行更新。
  13. 根据权利要求12所述的装置，其特征在于，所述依据所述N个停留时间与所述A 个类别确定所述A个类别对应的A个权重方面，所述更新单元具体用于：
    对所述N个停留时间执行求和运算得到总时长；确定所述A个类别对应的A个停留时间；计算所述A个停留时间与所述总时长的比值作为所述A个类别对应的A个权重。
  14. 根据权利要求12所述的装置，其特征在于，所述依据所述A个权重对所述用户画像进行更新方面，所述更新单元具体用于：
    建立所述A个权重与所述A个类别的映射关系；依据所述映射关系调整所述用户画像。
  15. 根据权利要求10所述的装置，其特征在于，所述装置还包括更新单元，所述更新单元具体用于：
    获取预设时间内的X个界面，确定所述X个界面对应的X个浏览时间；依据第二时间阈值对所述X个浏览时间进行筛选得到Y个浏览时间，确定所述Y个浏览时间对应的Y个界面；确定所述Y个界面对应的Z个类别，其中，Z≤Y；确定所述Z个类别中每个类别包含的界面数量，依据所述Y个浏览时间确定所述Y个界面对应的Y个权重，依据所述Y个权重确定所述Z个类别的类别权重；依据所述Z个类别权重对所述用户画像进行更新。
  16. 根据权利要求10所述的装置，其特征在于，所述依据所述历史数据与所述个人信息构建用户画像方面，所述获取单元具体用于：
    所述历史数据包括：应用软件的安装数据、电量的使用数据；所述个人信息包括：年龄、职业、性别；获取所述应用软件的安装数据，所述安装数据包括：获取应用软件的安装列表，将所述应用软件分类并标记不同的类型标签，计算每类应用软件的数量与所述应用软件的总数的比值作为类别权重，建立所述应用软件与所述类别权重的映射关系为第一映射关系；获取所述电量的使用数据，所述使用数据包括：所述应用软件消耗的电量百分比，依据所述电量统计数据确定所述应用软件的使用时长，依据使用时长确定所述应用软件对应的使用频率权重，建立所述应用软件与所述使用频率权重的映射关系为第二映射关系；获取短信应用的短信内容，获取预设的关键字模板，将所述关键字模板与所述短信内容进行匹配得到匹配结果，从所述匹配结果中获取用户的身份信息，所述身份信息包括：所述年龄、所述职业、所述性别，确定所述年龄对应的年龄权重，确定所述职业对应的职业权重，确定所述性别对应的性别权重，建立第三映射关系，所述第三映射关系包括：所述年龄与所述年龄权重的映射关系、所述职业与所述职业权重的映射关系、所述性别与所述性别权重的映射关系；所述第一映射关系、所述第二映射关系、所述第三映射关系共同构成用户画像。
  17. 根据权利要求10所述的方法，所述依据所述广告推送策略推送广告方面，所述推 送单元具体用于：
    确定所述广告推送策略对应的所述待推送广告类别；从所述待推送广告类别对应的广告中选择一个广告进行推送。
  18. 根据权利要求10所述的方法，所述依据所述广告推送策略推送广告之后方面，所述推送单元具体用于：
    接收推送成功的广告返回的响应；获取所述广告对应的类别，依据所述响应判断所述广告是否被查阅；如是，确定所述广告对应的商户，获取所述用户当前位置，提取电子地图，在所述电子地图上对所述用户当前位置进行标记，在所述电子地图上对所述商户进行搜索确定商户位置；在所述电子地图上对所述商户位置进行标记，计算所述商户位置与所述用户当前位置的距离，选择所述距离中的最小值对应的位置，推送所述位置。
  19. 一种移动终端，其特征在于，包括处理器、存储器、通信接口，以及一个或多个程序，所述一个或多个程序被存储在所述存储器中，并且被配置由所述处理器执行，所述程序包括用于执行如权利要求1-9任一项所述的方法中的步骤的指令。
  20. 一种计算机可读存储介质，其特征在于，存储用于电子数据交换的计算机程序，其中，所述计算机程序使得计算机执行如权利要求1-9任一项所述的方法。
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CN112364222B (zh) * 2021-01-13 2021-04-27 北京云真信科技有限公司 一种用户年龄的区域画像方法、计算机设备及存储介质
CN112819553A (zh) * 2021-04-01 2021-05-18 郭举 一种结合大数据分析的在线广告推送方法及云服务器
CN112819553B (zh) * 2021-04-01 2022-02-15 上海墨幸文化传播有限公司 一种结合大数据分析的在线广告推送方法及云服务器

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