WO2021174447A1 - 内容推送方法、装置、服务器以及存储介质 - Google Patents

内容推送方法、装置、服务器以及存储介质 Download PDF

Info

Publication number
WO2021174447A1
WO2021174447A1 PCT/CN2020/077810 CN2020077810W WO2021174447A1 WO 2021174447 A1 WO2021174447 A1 WO 2021174447A1 CN 2020077810 W CN2020077810 W CN 2020077810W WO 2021174447 A1 WO2021174447 A1 WO 2021174447A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
selection condition
pushed
specified
condition
Prior art date
Application number
PCT/CN2020/077810
Other languages
English (en)
French (fr)
Inventor
贾欣
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.)
Filing date
Publication date
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 CN202080094715.1A priority Critical patent/CN115004179A/zh
Priority to PCT/CN2020/077810 priority patent/WO2021174447A1/zh
Publication of WO2021174447A1 publication Critical patent/WO2021174447A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation

Definitions

  • This application relates to the field of information push technology, and more specifically, to a content push method, device, server, and storage medium.
  • the server generally pushes content to the electronic device for display on the electronic device.
  • this application proposes a content pushing method, device, server and storage medium to solve the above-mentioned problems.
  • an embodiment of the present application provides a content pushing method, the method includes: selecting a first user from a target database based on a first selection condition, wherein the target database includes user data updated in real time, so The user data includes a plurality of users and user characteristics corresponding to each of the plurality of users; when the first user does not meet a specified condition, the first selection condition is updated to a second selection condition; based on The second selection condition selects a second user from the target database; when the second user meets the specified condition, the second user is determined as the user to be pushed; and the specified user is pushed to the user to be pushed Push content.
  • an embodiment of the present application provides a content pushing device.
  • the device includes: a first user selection module, configured to select a first user from a target database based on a first selection condition, wherein the target database Including real-time updated user data, the user data including a plurality of users and user characteristics corresponding to each of the plurality of users; a selection condition update module for when the first user does not meet a specified condition, The first selection condition is updated to the second selection condition; the second user selection module is used to select the second user from the target database based on the second selection condition; the user determination module to be pushed is used to When the second user satisfies the specified condition, the second user is determined as the user to be pushed; the content pushing module is configured to push the specified push content to the user to be pushed.
  • an embodiment of the present application provides a server, including a memory and a processor, the memory is coupled to the processor, the memory stores instructions, and when the instructions are executed by the processor, the The processor executes the above method.
  • an embodiment of the present application provides a computer readable storage medium, and the computer readable storage medium stores program code, and the program code can be invoked by a processor to execute the above method.
  • the content pushing method, device, server, and storage medium provided by the embodiments of the present application select a first user from a target database based on a first selection condition, where the target database includes user data updated in real time, and the user data includes multiple users and For the user characteristics corresponding to each of the multiple users, when the first user does not meet the specified conditions, the first selection condition is updated to the second selection condition, and the second user is selected from the target database based on the second selection condition, when When the second user meets the specified conditions, the second user is determined to be the user to be pushed, and the specified push content is pushed to the user to be pushed, so that the first user is selected from the target database that updates user data in real time through the first selection condition, and the first user is selected in the first selection condition. When a user does not meet the specified condition, the first selection condition is updated to the second selection condition to select a second user who meets the specified condition from the target database for content push, so as to improve the selection efficiency and push accuracy of the pushing user.
  • FIG. 1 shows a schematic diagram of an application environment that can be used for the content pushing method provided by the embodiments of the present application
  • FIG. 2 shows a schematic flowchart of a content pushing method provided by an embodiment of the present application
  • FIG. 3 shows a schematic flowchart of a content pushing method provided by another embodiment of the present application.
  • FIG. 4 shows a schematic flowchart of an embodiment of step S280 of the content pushing method shown in FIG. 3 of the present application;
  • FIG. 5 shows a schematic flowchart of another embodiment of step S280 of the content pushing method shown in FIG. 3 of the present application;
  • FIG. 6 shows a schematic flowchart of another embodiment of step S280 of the content pushing method shown in FIG. 3 of the present application;
  • FIG. 7 shows a schematic flowchart of a content pushing method provided by still another embodiment of the present application.
  • FIG. 8 shows a schematic flowchart of a content pushing method provided by another embodiment of the present application.
  • FIG. 9 shows a schematic flowchart of a content pushing method provided by yet another embodiment of the present application.
  • FIG. 10 shows a schematic flowchart of an embodiment of step S550 of the content pushing method shown in FIG. 9 of the present application.
  • FIG. 11 shows a schematic flowchart of another embodiment of step S550 of the content pushing method shown in FIG. 9 of the present application.
  • FIG. 12 shows a schematic flowchart of still another embodiment of step S550 of the content pushing method shown in FIG. 9 of the present application;
  • FIG. 13 shows a schematic flowchart of a content pushing method provided by yet another embodiment of the present application.
  • FIG. 14 shows a block diagram of a content pushing device provided by an embodiment of the present application.
  • FIG. 15 shows a block diagram of a server used to execute the content pushing method according to the embodiment of the present application
  • Fig. 16 shows a storage unit for storing or carrying the program code for implementing the content pushing method according to the embodiment of the present application according to an embodiment of the present application.
  • Operators generally push content to electronic devices to achieve operational goals.
  • the operator will obtain user portraits (user characteristics) before pushing.
  • user portraits also known as user roles, are an effective tool for delineating target users, contacting user demands and design directions.
  • User portraits have been widely used in various fields. Applications.
  • User portraits usually contain multiple dimensions of portrait features to characterize the appearance of users. For promotional activities, each activity needs to correspond to some user portrait features. All user portrait features targeted by the activity can form an activity portrait.
  • user portraits are generally obtained by offline calculation.
  • the calculation logic of offline calculation must be determined and implemented in advance.
  • the diversity of business demand scenarios is very limited. Offline calculation logic cannot calculate all the analysis and portrait scenarios of the business in advance.
  • the real-time performance of offline calculation methods is low, and it may take several days from the formation of requirements to the realization of business scenarios, and the efficiency of comparison and verification of multiple ideas is relatively low.
  • the inventor has discovered through long-term research and proposed the content pushing method, device, server, and storage medium provided by the embodiments of the application, and selects the first user from the target database that updates user data in real time according to the first selection condition. , And when the first user does not meet the specified conditions, the first selection condition is updated to the second selection condition to select the second user who meets the specified conditions from the target database for content push, so as to improve the selection efficiency and push of the push user Precision.
  • the specific content pushing method will be described in detail in the subsequent embodiments.
  • FIG. 1 shows a schematic diagram of an application environment that can be used for the content pushing method provided in the embodiments of the present application. It includes a server 100 and an electronic device 200, and the electronic device 200 and the server 100 are in communication connection to realize data interaction.
  • the server 100 can send push content to the electronic device 200.
  • the electronic device 200 and the server 100 can be connected via a data network or a wireless network.
  • the electronic device 200 and the server 100 can be connected via a 2G network, a 3G network, a 4G network, a 5G network, etc.
  • the electronic device 200 and the server 100 can be connected through a wireless fidelity WiFi network, which is not limited here.
  • the electronic device 200 can be a smart phone, a tablet computer, a wearable electronic device, etc.
  • the server 100 can be a traditional server, a cloud server, etc., which is not limited herein.
  • FIG. 2 shows a schematic flowchart of a content pushing method provided by an embodiment of the present application.
  • the content pushing method is used to select a first user from a target database that updates user data in real time according to a first selection condition, and when the first user does not meet a specified condition, update the first selection condition to a second selection condition to The second user who meets the specified conditions is selected from the target database for content push, so as to improve the selection efficiency and push accuracy of pushing users.
  • the content pushing method is applied to the content pushing device 300 as shown in FIG. 14 and the electronic device 100 configured with the content pushing device 300 (FIG. 15 ).
  • the server applied in this embodiment may be a cloud server or a traditional server, which is not limited here.
  • the process shown in FIG. 2 will be described in detail below, and the content pushing method may specifically include the following steps:
  • Step S110 Select a first user from a target database based on a first selection condition, wherein the target database includes real-time updated user data, and the user data includes multiple users and each of the multiple users Corresponding user characteristics.
  • the server may be preset with a target database, and the target database includes real-time updated user data.
  • the server can obtain user data in real time, and after simple cleaning and dimension filling, the user data obtained by the implementation is directly stored in the target database for real-time update to support true "real-time data" calculations.
  • the target database stores the user data of the target user in the last week.
  • the current user data of the target user can be simply cleaned and dimensional filled
  • the user data of the target user in the last week together with the user data of the target user stored in the target database is used as the user data of the target user to participate in the calculation.
  • the user data includes multiple users and user characteristics corresponding to each of the multiple users.
  • the number of user characteristics corresponding to each user may be the same or different, and the user characteristics corresponding to each user may include: user age, user occupation, user gender, user income, user preferences, user Habits, etc., are not limited here.
  • the target database may be a storage engine.
  • the server when the server has designated push content to be pushed to the electronic device, it may select the user from the target database as the user to be pushed, and push the designated push content to the electronic device corresponding to the selected user to be pushed.
  • the first selection condition may be used to select users from the target database, and the user selected from the target database using the first selection condition is regarded as the first user, where the number of the first users is one or more , It is not limited here.
  • the first selection condition may be preset and stored in the server. When the server has designated push content to be pushed, the first selection condition is directly obtained from the storage area, and the first selection condition is retrieved from the target database based on the first selection condition. Select the first user.
  • the first selection condition may be received from another electronic device when there is a specific push content that needs to be pushed. For example, it may be received from an electronic device corresponding to an operator when there is a specific push content that needs to be pushed, and based on the first selection condition.
  • the selection condition selects the first user from the target database.
  • the operation scenario is to send a wave of recent consecutive login reward activities for users who have launched the game more than 3 times in the last 3 days.
  • the first selection condition can be set as: the number of logins to a certain game in the past 3 days exceeds 3 times, and based on the first selection condition that the number of logins to a certain game in the past 3 days exceeds 3 times, the user is selected from the target database as the first selection condition.
  • Step S120 When the first user does not meet a specified condition, update the first selection condition to a second selection condition.
  • the server may preset and store a designated condition, and the designated condition is used as a judgment basis for the selected user. Therefore, in this embodiment, after the first user is selected from the target database based on the first selection condition, the first user can be compared with the specified condition to determine whether the first user satisfies the specified condition. When the result indicates that the first user does not meet the specified condition, it can be considered that the first user selected from the target database through the first selection condition does not meet the requirements of the user to be pushed. Therefore, the first selection condition can be changed or optimized.
  • the first selection condition may be updated to the second selection condition, wherein, when the judgment result indicates that the first user meets the specified condition, it can be considered that the first user selected from the target database through the first selection condition meets the to-be-push The user's requirements, therefore, the first user can be determined as the user to be pushed.
  • the second selection condition may be preset and stored in the server. When it is determined that the first user selected by the first selection condition does not meet the specified condition, the second selection condition is directly obtained from the storage area. In some embodiments, the second selection condition may be received from another electronic device when it is determined that the first selection condition does not satisfy the specified condition from the selected first user. For example, the second selection condition may be When the specified conditions are met, the recipient of the electronic device corresponding to the operator, etc., is not limited here.
  • Step S130 Select a second user from the target database based on the second selection condition.
  • the user can be selected from the target database using the second selection condition, and the user selected from the target database using the second selection condition is used as the second user.
  • the number of users is one or more, which is not limited here.
  • the operation scenario is to send a wave of recent consecutive login reward activities for users who have launched the game more than 3 times in the last 3 days.
  • the first selection condition can be set as: the number of logins to a certain game in the past 3 days exceeds 3 times, and based on the first selection condition that the number of logins to a certain game in the past 3 days exceeds 3 times, the user is selected from the target database as the first selection condition.
  • a user when the first user does not meet the specified conditions, he can update the first selection condition to the second selection condition, for example, update the first selection condition to log in to a game more than 3 times in the past 3 days as the second selection Condition that the number of logins to a game in the past 3 days is more than 2 times, or update the first selection condition to log in to a game more than 3 times in the past 3 days to the second selection condition
  • the number of logins to a game in the past 5 days exceeds 3 times And so on, so as to update the first selection condition to satisfy the second selection condition with different difficulty, so as to continuously update the selection condition to achieve the required operation purpose.
  • the difficulty of satisfying the first selection condition is greater than the difficulty of satisfying the second selection condition. Therefore, when the first user selected from the target database based on the first selection condition does not meet the specified condition, the first selection condition can be updated to satisfy the second selection condition with lower difficulty, and the target database can be retrieved from the target database based on the second selection condition.
  • the second user is selected in the selection process to continuously reduce the difficulty of satisfying the selection conditions, so as to achieve the purpose of meeting the operation requirements of the selected user.
  • Step S140 When the second user meets the specified condition, the second user is determined as the user to be pushed.
  • the second user can be compared with the specified condition to determine whether the second user meets the specified condition, wherein, when the judgment result represents When the second user does not meet the specified condition, it can be considered that the second user selected from the target database through the second selection condition does not meet the requirements of the user to be pushed. Therefore, the second selection condition can continue to be changed or optimized.
  • the judgment result indicates that the second user meets the specified condition, it can be considered that the second user selected from the target database through the second selection condition meets the requirements of the user to be pushed. Therefore, the second user can be determined as the user to be pushed.
  • Step S150 Push the designated push content to the user to be pushed.
  • the server may push the designated push content to the second user, that is, push the designated push content to the user to be pushed.
  • the content pushing method selects a first user from a target database based on a first selection condition, wherein the target database includes user data updated in real time, and the user data includes multiple users and each of the multiple users. User characteristics corresponding to each user.
  • the first selection condition is updated to the second selection condition, and the second user is selected from the target database based on the second selection condition.
  • the specified push content is pushed to the user to be pushed, so that the first user is selected from the target database that updates user data in real time through the first selection condition, and the first user does not meet the specified condition
  • the first selection condition is updated to the second selection condition
  • the second user who meets the specified condition is selected from the target database for content push, so as to improve the selection efficiency and push accuracy of the push user.
  • FIG. 3 shows a schematic flow chart of a content pushing method provided by another embodiment of the present application.
  • the flow shown in FIG. 3 will be described in detail below.
  • the content pushing method may specifically include the following steps:
  • Step S210 Obtain the first screening feature corresponding to the first selection condition.
  • the first screening feature corresponding to the first selection condition can be acquired.
  • the first screening feature can be obtained from the first selection condition by feature extraction on the first selection condition, and the first selection condition can be extracted from the first selection condition by keyword extraction.
  • Obtaining the first screening feature in, etc. is not limited here.
  • the first selection condition is: the number of logins to a certain game in the past 3 days exceeds 3 times
  • the first screening feature corresponding to the first selection condition may be: xx days-xx days, and the number of logins to a game is greater than 3 Second-rate.
  • Step S220 Select a user corresponding to the first screening feature from the target database as the first user.
  • the target database includes real-time updated user data
  • the user data includes user characteristics corresponding to each of the multiple users
  • the user characteristics corresponding to each user can be obtained from the target database.
  • the first screening feature can be compared with the user feature corresponding to each user. When the first screening feature and When the user characteristics corresponding to the user match, it characterizes the user as a user corresponding to the first screening characteristic, and when the first screening characteristic does not match the user characteristic corresponding to the user, it characterizes the user as a user that does not correspond to the first screening characteristic. That is, through the above feature comparison method, the user corresponding to the first screening feature can be selected from the target database, and the user corresponding to the first screening feature can be regarded as the first user.
  • Step S230 Acquire the number of users corresponding to the first user.
  • the specified condition may be a specified number, and the specified condition may be greater than the specified amount, and the specified condition may not be satisfied, and the specified amount may not be satisfied.
  • the number of users corresponding to the first user can be obtained. For example, if there are 300 first users selected from the target database, then the number of users corresponding to the first user is 300.
  • Step S240 When the number of users corresponding to the first user is not greater than a specified number, update the first selection condition to the second selection condition.
  • the number of users corresponding to the first user can be compared with a specified number, where when the number of users corresponding to the first user is greater than the specified number, the first user If the user meets the specified condition, the first user can be determined as the user to be pushed.
  • the first selection condition can be updated to the second selection condition.
  • Step S250 Obtain a second screening feature corresponding to the second selection condition.
  • the second screening feature corresponding to the second selection condition can be obtained.
  • the second selection condition can be extracted from the second selection condition by feature extraction, and the second selection condition can be extracted from the second selection condition by keyword extraction.
  • Obtaining the second screening feature in the file, etc. are not limited here.
  • the second selection condition is: the number of logins to a certain game in the past 3 days exceeds 2 times
  • the first screening feature corresponding to the second selection condition can be: xx days-xx days, and the number of logins to a game is greater than 2 Second-rate.
  • Step S260 Select a user corresponding to the second screening feature from the target database as the second user.
  • the target database includes real-time updated user data
  • the user data includes user characteristics corresponding to each of the multiple users
  • the user characteristics corresponding to each user can be obtained from the target database.
  • the second screening feature corresponding to the second selection condition is extracted from the second selection condition
  • the second screening feature can be compared with the user feature corresponding to each user.
  • Step S270 Acquire the number of users corresponding to the second user.
  • the number of users corresponding to the second user can be obtained. For example, if 500 second users are selected from the target database, the number of users corresponding to the second user is 500.
  • Step S280 When the number of users corresponding to the second user is greater than the specified number, determine the second user as the user to be pushed.
  • the number of users corresponding to the second user can be compared with a specified number, where when the number of users corresponding to the second user is greater than the specified number, the second user If the user meets the specified condition, the second user can be determined as the user to be pushed. When the number of users corresponding to the second user is not greater than the specified number, it indicates that the second user does not meet the specified condition, and the second selection condition can be updated continuously.
  • the operation scenario is to send a wave of recent consecutive login reward activities for users who have launched the game more than 3 times in the last 3 days.
  • the first selection condition can be set as: the number of logins to a certain game in the past 3 days exceeds 3 times, and based on the first selection condition that the number of logins to a certain game in the past 3 days exceeds 3 times, the user is selected from the target database as the first selection condition.
  • the first selection condition can be updated to the second selection condition, for example, Update the first selection condition to log in to a game more than 3 times in the past 3 days to the second selection condition to log in to a game more than 2 times in the past 3 days, or log in to a game in the first selection condition in the past 3 days
  • the number of times more than 3 times is updated as the second selection condition.
  • the number of logins in a certain game in the past 5 days is more than 3 times, etc., so that the first selection condition is updated to meet the second selection conditions of different difficulty, so as to continuously update the selection conditions to meet the requirements Operational purpose.
  • the number of users corresponding to the second user selected by the second selection condition is 500, it can be determined that the number of users corresponding to the second user 500 is greater than the specified number 400, and the second user can be determined as the user to be pushed.
  • FIG. 4 shows a schematic flow chart of an embodiment of step S280 of the content pushing method shown in FIG. 3 of the present application.
  • the flow shown in FIG. 4 will be described in detail below. It can include the following steps:
  • Step S281A When the number of users corresponding to the second user is greater than the specified number, obtain the average age corresponding to the second user.
  • the average age corresponding to the second user who meets the specified condition can be obtained, where , The age of each second user can be obtained from the user characteristics contained in the user data updated in real time in the target database.
  • Step S282A When the average age corresponding to the second user is not greater than the specified age, determine the second user as the user to be pushed.
  • the content applicable to different age groups is different.
  • game content is not applicable to the elderly. Therefore, the recognized age of the elderly can be set as a specified age, and the specified age is used as the basis for judging the average age corresponding to the second user Therefore, in this embodiment, after the average age corresponding to the second user is obtained, the average age corresponding to the second user can be compared with the specified age to determine whether the average age corresponding to the second user is not greater than the specified age, wherein, when the judgment result indicates that the average age corresponding to the second user is not greater than the specified age, and it indicates that the specified push content is applicable to all or most of the second users, the second user may be determined as the user to be pushed. When the judgment result indicates that the average age corresponding to the second user is greater than the specified age, it indicates that the specified push content is not applicable to all or most of the second users, and the second user may not be determined as the user to be pushed.
  • FIG. 5 shows a schematic flow chart of another embodiment of step S280 of the content pushing method shown in FIG. 3 of the present application.
  • the flow shown in FIG. 5 will be described in detail below. Specifically, it can include the following steps:
  • Step S281B When the number of users corresponding to the second user is greater than the specified number, obtain the occupation corresponding to the second user.
  • the occupation corresponding to the second user who meets the designated condition can be obtained, where, The occupation of each second user can be obtained through the user characteristics contained in the user data updated in real time in the target database.
  • Step S282B When the proportion of the target occupation in the occupation corresponding to the second user is greater than the specified proportion, the second user is determined as the user to be pushed.
  • the occupation corresponding to the second user can be compared with the target to determine whether the occupation corresponding to the second user belongs to the target occupation.
  • the occupation belongs to the target occupation it means that the designated push content is applicable to the second user.
  • the judgment result indicates that the occupation corresponding to the second user does not belong to the target occupation, it means that the designated push content is not applicable to the second user, thus passing In the foregoing manner, the proportion of the occupations corresponding to the second user belonging to the target occupation can be obtained.
  • the server may preset and store a designated proportion, which is used as a basis for judging the proportion of the target occupation in the occupation corresponding to the second user. Therefore, in this embodiment, After obtaining the proportion of the occupation corresponding to the second user belonging to the target occupation, the proportion of the occupation corresponding to the second user belonging to the target occupation may be compared with the specified proportion to obtain a comparison result.
  • the comparison result indicates that the proportion of the occupation corresponding to the second user belonging to the target occupation is greater than the specified proportion, it indicates that the specified push content is applicable to all or most of the second users, and the second user can be determined as For the user to be pushed
  • the comparison result indicates that the proportion of the target occupation in the occupation corresponding to the second user is not greater than the specified proportion, it indicates that the specified push content is not applicable to all or most of the second users.
  • the second user is not determined as the user to be pushed.
  • FIG. 6 shows a schematic flow chart of another embodiment of step S280 of the content pushing method shown in FIG. 3 of the present application.
  • the flow shown in FIG. 6 will be described in detail below. Specifically, it can include the following steps:
  • Step S281C When the number of users corresponding to the second user is greater than the specified number, obtain the average income corresponding to the second user.
  • the average income corresponding to the second user who meets the designated conditions can be obtained, where ,
  • the income of each second user can be obtained from the user characteristics contained in the user data updated in real time in the target database.
  • Step S282C When the average income corresponding to the second user is greater than the specified income, the second user is determined as the user to be pushed.
  • users with different incomes are applicable to different content.
  • users with high incomes are suitable for paid content. Therefore, the income of users with high incomes can be set as specified income, and the specified income is used as the average corresponding to the second user.
  • the basis for determining income is used as the average corresponding to the second user.
  • the average income corresponding to the second user can be compared with the specified income to determine whether the average income corresponding to the second user is greater than Specified income, where, when the judgment result indicates that the average income corresponding to the second user is greater than the specified income, it indicates that the specified push content is applicable to all or most of the second users, and the second user may be determined to be pushed Users, when the judgment result indicates that the average income corresponding to the second user is not greater than the specified income, it indicates that the specified push content is not applicable to all users or most of the second users, and the second user may not be determined to be pushed user.
  • Step S290 Push the designated push content to the user to be pushed.
  • step S290 please refer to step S130, which will not be repeated here.
  • the content pushing method obtains the first screening feature corresponding to the first selection condition, selects the user corresponding to the first screening feature from the target database as the first user, and obtains the number of users corresponding to the first user
  • the first selection condition is updated to the second selection condition
  • the second screening feature corresponding to the second selection condition is obtained
  • the second screening feature corresponding to the second screening feature is selected from the target database
  • the number of users corresponding to the second user is obtained.
  • the second user is determined as the user to be pushed, and the specified push content is pushed to the user to be pushed.
  • this embodiment also compares the user characteristics with the filtering characteristics in the filtering conditions to select corresponding users from the target database, so as to improve the accuracy of the selected users.
  • the number of users corresponding to the users is used as the basis for determining the specified conditions, so as to improve the flexibility and accuracy of the selected number of users.
  • FIG. 7 shows a schematic flowchart of a content pushing method provided by still another embodiment of the present application.
  • the following will elaborate on the process shown in FIG. 7, and the content pushing method may specifically include the following steps:
  • Step S310 Select a first user from a target database based on a first selection condition, wherein the target database includes real-time updated user data, and the user data includes multiple users and each of the multiple users Corresponding user characteristics.
  • step S310 For the specific description of step S310, please refer to step S110, which will not be repeated here.
  • Step S320 When the first user does not meet the specified condition, update the first selection condition to a third selection condition.
  • the judgment result indicates that the first user does not meet the specified condition
  • the first selection condition can be updated to the third selection condition.
  • the third selection condition may be preset and stored in the server. When it is determined that the first user selected by the first selection condition does not meet the specified condition, the third selection condition is directly obtained from the storage area. In some embodiments, the third selection condition may be received from another electronic device when it is determined that the first selection condition does not satisfy the specified condition from the selected first user. For example, the third selection condition may be When the specified conditions are met, the recipient of the electronic device corresponding to the operator, etc., is not limited here.
  • Step S330 Select a third user from the first users based on the third selection condition.
  • the third selection condition may be used to select a user from the target database, and the user selected from the target database using the third selection condition is regarded as the third user.
  • the number of users is one or more, which is not limited here.
  • a certain game operator wants to increase the retention rate of active users of recent games.
  • the operation scenario is to send a wave of recent consecutive login reward activities for users who have launched the game more than 3 times in the last 3 days.
  • the number of rewards is limited to no more than 200 people
  • the first selection condition can be set as: the number of logins to a certain game in the past 3 days is more than 3 times, and the specified condition is set to no more than 200 people, and based on the login to a certain game in the past 3 days
  • the first selection condition for more than 3 games selects the user as the first user from the target database.
  • the first selection condition can be updated to the third selection condition, for example, The first selection condition has been logged in to a game more than 3 times in the past 3 days, and the second selection condition has been logged in a game more than 4 times in the past 3 days, etc. How to reduce the number of users who meet the conditions on the basis of the first user , In order to obtain the third user and achieve the required operation purpose.
  • Step S340 When the third user meets the specified condition, the third user is determined as the user to be pushed.
  • the third user can be compared with the specified condition to determine whether the third user meets the specified condition, where, when the judgment result When it characterizes that the third user does not meet the specified condition, it can be considered that the third user selected from the first user through the third selection condition does not meet the requirements of the user to be pushed. Therefore, the third selection condition can be changed or optimized. When the judgment result indicates that the third user meets the specified condition, it can be considered that the third user selected from the target database through the third selection condition meets the requirements of the user to be pushed. Therefore, the third user can be determined as the user to be pushed.
  • Step S350 Push the designated push content to the user to be pushed.
  • step S350 For the specific description of step S350, please refer to step S150, which will not be repeated here.
  • the first user is selected from the target database based on the first selection condition, and when the first user does not meet the specified condition, the first selection condition is updated to the third selection condition, based on the first selection condition.
  • Three selection conditions The third user is selected from the first users, and when the third user meets the specified conditions, the third user is determined as the user to be pushed, and the specified push content is pushed to the user to be pushed.
  • this embodiment also updates the first selection condition to the third selection condition when the first user selected by the first selection condition does not meet the specified condition, so as to select from the first user Select a third user who meets the specified conditions for content push, so as to improve the efficiency of selecting users to be pushed.
  • FIG. 8 shows a schematic flowchart of a content pushing method provided by another embodiment of the present application.
  • the process shown in Fig. 8 will be described in detail below, and the content pushing method may specifically include the following steps:
  • Step S410 Select a first user from a target database based on a first selection condition, wherein the target database includes user data updated in real time, and the user data includes multiple users and each of the multiple users Corresponding user characteristics.
  • Step S420 When the first user does not meet a specified condition, update the first selection condition to a second selection condition.
  • Step S430 Select a second user from the target database based on the second selection condition.
  • Step S440 When the second user meets the specified condition, the second user is determined as the user to be pushed.
  • Step S450 Push the designated push content to the user to be pushed.
  • step S410-step S450 please refer to step S110-step S150, which will not be repeated here.
  • Step S460 When the second user satisfies the specified condition, determine the second selection condition as a target selection condition.
  • the second selection condition when it is determined that the second user satisfies the specified condition, the second selection condition may be determined as the target selection condition, and the target selection condition may be stored as the preferred selection condition for the next push object selection, so as to select the condition in time It is more in line with user needs and improves the efficiency of determining the object to be pushed.
  • Step S470 When selecting push objects of other content to be pushed, select a target user from the target database based on the target selection condition.
  • the target selection condition can be obtained from the storage area, and the target user can be selected from the target database based on the target selection condition, so that the selected target user's selection condition is the same as that of the target database. It was consistent last time, and it was more in line with the needs of users.
  • a first user is selected from a target database based on a first selection condition, and when the first user does not meet a specified condition, the first selection condition is updated to a second selection condition, based on the first selection condition.
  • Selection conditions Select the second user from the target database. When the second user meets the specified conditions, the second user is determined to be the user to be pushed, and the specified push content is pushed to the user to be pushed. When the second user meets the specified conditions, the The second selection condition is determined to be the target selection condition, and when other push objects of the content to be pushed are selected, the target user is selected from the target database based on the target selection condition.
  • the second selection condition is determined as the target selection condition, and the target selection condition is selected as the push object selection of other content to be pushed. To improve the efficiency and accuracy of the selection of objects to be pushed.
  • FIG. 9 shows a schematic flowchart of a content pushing method provided by yet another embodiment of the present application.
  • the process shown in FIG. 9 will be described in detail below, and the content pushing method may specifically include the following steps:
  • Step S510 Select a first user from a target database based on a first selection condition, wherein the target database includes user data updated in real time, and the user data includes multiple users and each of the multiple users Corresponding user characteristics.
  • Step S520 When the first user does not meet the specified condition, update the first selection condition to the second selection condition.
  • Step S530 Select a second user from the target database based on the second selection condition.
  • Step S540 When the second user satisfies the specified condition, the second user is determined as the user to be pushed.
  • Step S550 Push the designated push content to the user to be pushed.
  • step S510 to step S550 please refer to step S110 to step S150, which will not be repeated here.
  • FIG. 10 shows a schematic flowchart of an embodiment of step S550 of the content pushing method shown in FIG. 9 of the present application.
  • the process shown in FIG. 10 will be described in detail below, and the method may specifically include the following steps:
  • Step S551A Acquire the first user characteristic of the user to be pushed.
  • the server may record the historical behavior of the user to be pushed on multiple contents, and determine the historical interest tag of the user to be pushed on the multiple content based on the historical behavior of the user to be pushed on the multiple content, wherein the historical interest tag Including multiple levels of interest and times corresponding to multiple levels of interest, storing historical interest tags for multiple content of the user to be pushed in the target database as the first user characteristic of the user to be pushed.
  • the first user characteristic of the user to be pushed can be obtained, and from the first user characteristic, the degree of interest of the user to be pushed in different content at different times can be obtained, for example, to obtain the user to be pushed Be more interested in news content in the morning, more interested in outbound content at noon, more interested in game content in the evening, etc.
  • Step S552A Based on the first user characteristic of the user to be pushed, a pushing time for pushing the specified push content to the user to be pushed is determined.
  • the designated pushed content can be compared with multiple contents to obtain and specify Push content that is consistent or similar to the content, and obtain the time when the user is interested in the content that is consistent or similar to the designated push content, and determine this time as the push time for pushing the designated push content to the user to be pushed, so as to improve the designated push content Conversion rate.
  • FIG. 11 shows a schematic flowchart of another embodiment of step S550 of the content pushing method shown in FIG. 9 of the present application.
  • the process shown in FIG. 11 will be described in detail below, and the method may specifically include the following steps:
  • Step S551B Acquire the second user characteristic of the user to be pushed.
  • the server may record the historical behavior of the user to be pushed on multiple contents, and determine the number of conversions of the user to be pushed to each of the multiple contents based on the historical behavior of the user to be pushed on the multiple contents. For example, for the number of repeated browsing times, download times, start times, etc. of each content, the conversion times of each of the multiple contents of the user to be pushed are stored in the target database as the second user characteristic of the user to be pushed. Therefore, in this embodiment, the second user characteristic of the user to be pushed can be obtained, and the number of conversions of the user to be pushed to each of the multiple contents can be obtained from the second user characteristic.
  • Step S552B Based on the second user characteristic of the user to be pushed, determine the number of times of pushing the specified push content to the user to be pushed.
  • the designated pushed content may be compared with the multiple contents to Obtain content that is consistent or similar to the specified push content, and obtain the number of user conversions for the content that is consistent or similar to the specified push content, and determine the number of conversions as the minimum number of pushes to push the specified push content to the user to be pushed to improve Specify the conversion rate of the pushed content.
  • FIG. 12 shows a schematic flowchart of still another embodiment of step S550 of the content pushing method shown in FIG. 9 of the present application.
  • the process shown in FIG. 12 will be described in detail below, and the method may specifically include the following steps:
  • Step S551C Acquire the third user characteristic of the user to be pushed.
  • the server may record the display preferences of the user to be pushed for the content displayed by the electronic device, for example, record the user's preference for the display position of the content displayed by the electronic device, the preference of the display size of the displayed content, and The preference of the display color of the displayed content, the preference of the display duration of the displayed content, etc. are not limited here, and the display preference is stored in the target database as the third user characteristic of the user to be pushed. Therefore, in this embodiment, the third user characteristic of the user to be pushed can be obtained, and the user's content display preference can be obtained from the third user characteristic.
  • Step S552C Based on the third user characteristic of the user to be pushed, determine the typesetting mode of the specified push content to be pushed to the user to be pushed.
  • the content to be pushed may be typeset in a manner corresponding to the display preference to determine the display preference of the user to be pushed.
  • the layout method of the designated push content pushed by the user so that when the designated push content is pushed to the user to be pushed, the layout method exactly meets the user's display preference, reduces the steps for the user to make layout adjustments, and improves the user experience.
  • Step S560 Obtain the conversion rate of the designated push content.
  • the conversion rate of the designated push content can be obtained after the designated push content is pushed to the user to be pushed.
  • the conversion rate of the designated push content can be obtained by dividing the number of users to be pushed to the designated push content by the total number of users to be pushed, where the jump to the designated push content includes but not Limited to: clicking on the link corresponding to the designated push content, downloading the application corresponding to the designated push content, and opening the application corresponding to the designated push content.
  • Step S570 When the conversion rate of the specified push content is greater than the first specified conversion rate, update the second selection condition to a fourth selection condition, wherein the difficulty of satisfying the fourth selection condition is less than that of the second selection condition. The difficulty of satisfying the selection conditions.
  • the server may set and store a first designated conversion rate in advance, and the first designated conversion rate is used as a basis for determining the conversion rate of the designated push content. Therefore, in this embodiment, when obtaining the designated push content After the conversion rate, the conversion rate of the designated push content can be compared with the first designated conversion rate to determine whether the conversion rate of the designated push is greater than the first designated conversion rate, where the judgment result indicates that the conversion rate of the designated push content is greater than When the conversion rate is first specified, it indicates that the conversion rate of the specified push content is high, and the popularity of the specified push content is high. Therefore, the specified push content can be promoted to more users to further enhance the spread of the specified push content Scope. Therefore, in some embodiments, the second selection condition may be updated to satisfy the fourth selection condition with less difficulty, so that more users become users to be pushed, so as to achieve the purpose of increasing the spread range of the designated push content.
  • a first user is selected from a target database based on a first selection condition, and when the first user does not meet a specified condition, the first selection condition is updated to a second selection condition, based on The second selection condition selects the second user from the target database.
  • the second user meets the specified conditions, the second user is determined as the user to be pushed, the specified push content is pushed to the user to be pushed, and the conversion rate of the specified push content is obtained.
  • the second selection condition is updated to the fourth selection condition, where the difficulty of meeting the fourth selection condition is less than the difficulty of meeting the second selection condition.
  • the second selection condition is updated to satisfy the fourth selection condition with less difficulty to further improve Specify the promotion of the push content.
  • FIG. 13 shows a schematic flowchart of a content pushing method provided by yet another embodiment of the present application.
  • the following will elaborate on the process shown in FIG. 13, and the content pushing method may specifically include the following steps:
  • Step S610 Select a first user from a target database based on a first selection condition, wherein the target database includes user data updated in real time, and the user data includes multiple users and each of the multiple users Corresponding user characteristics.
  • Step S620 When the first user does not meet the specified condition, update the first selection condition to the second selection condition.
  • Step S630 Select a second user from the target database based on the second selection condition.
  • Step S640 When the second user meets the specified condition, determine the second user as the user to be pushed.
  • Step S650 Push the designated push content to the user to be pushed.
  • Step S660 Obtain the conversion rate of the designated push content.
  • step S610 to step S660 please refer to step S510 to step S560, which will not be repeated here.
  • Step S670 When the conversion rate of the specified push content is less than the second specified conversion rate, update the second selection condition to a fifth selection condition, wherein the second specified conversion rate is less than the first specified conversion rate Rate, the difficulty of satisfying the fifth selection condition is greater than the difficulty of satisfying the second selection condition.
  • the server may set and store a second designated conversion rate in advance, and the second designated conversion rate is used as a basis for determining the conversion rate of the designated push content. Therefore, in this embodiment, when obtaining the designated push content After the conversion rate, the conversion rate of the designated push content can be compared with the second designated conversion rate to determine whether the conversion rate of the designated push is less than the second designated conversion rate, where the judgment result indicates that the conversion rate of the designated push content is less
  • the second specified conversion rate it indicates that the conversion rate of the specified push content is low, and the popularity of the specified push content is low. Therefore, the specified push content may be pushed to many uncorresponding users, and the users to be pushed need to be further improved The accuracy of the determination to improve the conversion rate of the specified push content. Therefore, in some embodiments, the second selection condition may be updated to satisfy the fourth selection condition, which is more difficult, to filter out non-corresponding users, so as to achieve the purpose of increasing the conversion rate of the specified push content.
  • a first user is selected from a target database based on a first selection condition, and when the first user does not meet a specified condition, the first selection condition is updated to a second selection condition, based on The second selection condition selects the second user from the target database.
  • the second user meets the specified conditions, the second user is determined as the user to be pushed, the specified push content is pushed to the user to be pushed, and the conversion rate of the specified push content is obtained.
  • the second selection condition is updated to the fifth selection condition, where the difficulty of satisfying the fifth selection condition is greater than the difficulty of satisfying the second selection condition.
  • this embodiment also updates the second selection condition to satisfy the more difficult fifth selection condition when the conversion rate of the designated push content is less than the second designated conversion rate, so as to further improve Specify the accuracy and conversion rate of the pushed content.
  • FIG. 14 shows a block diagram of a content pushing device 300 provided by an embodiment of the present application.
  • the content pushing device 300 includes: a first user selection module 310, a selection condition update module 320, a second user selection module 330, a user to be pushed determination module 340, and a content pushing module 350, of which:
  • the first user selection module 310 is configured to select a first user from a target database based on a first selection condition, wherein the target database includes real-time updated user data, and the user data includes multiple users and the multiple User characteristics corresponding to each of the users.
  • the first user selection module 310 includes: a first screening feature acquisition sub-module and a first user selection sub-module, wherein:
  • the first screening feature obtaining sub-module is used to obtain the first screening feature corresponding to the first selection condition.
  • the first user selection submodule is configured to select a user corresponding to the first screening feature from the target database as the first user.
  • the selection condition update module 320 is configured to update the first selection condition to a second selection condition when the first user does not meet a specified condition.
  • the selection condition update module 320 includes: a first user quantity acquisition submodule and a selection condition update submodule, wherein:
  • the first user quantity obtaining submodule is configured to obtain the user quantity corresponding to the first user
  • the selection condition update submodule is configured to update the first selection condition to the second selection condition when the number of users corresponding to the first user is not greater than a specified number.
  • the second user selection module 330 is configured to select a second user from the target database based on the second selection condition.
  • the second user selection module 330 includes: a second screening feature acquisition sub-module and a second user selection sub-module, wherein:
  • the second screening feature obtaining sub-module is used to obtain the second screening feature corresponding to the second selection condition.
  • the second user selection submodule is configured to select a user corresponding to the second screening feature from the target database as the second user.
  • the user to be pushed determination module 340 is configured to determine the second user as the user to be pushed when the second user meets the specified condition.
  • the user to be pushed determination module 340 includes: a second user quantity acquisition sub-module and a user to push determination sub-module, wherein:
  • the second user quantity obtaining submodule is used to obtain the user quantity corresponding to the second user.
  • the user to be pushed determination submodule is configured to determine the second user as the user to be pushed when the number of users corresponding to the second user is greater than a specified number.
  • the sub-module for determining the user to be pushed includes: an average age obtaining unit and a first user to be pushed determining unit, wherein:
  • the average age obtaining unit is configured to obtain the average age corresponding to the second user when the number of users corresponding to the second user is greater than the specified number.
  • the first user to be pushed determination unit is configured to determine the second user as the user to be pushed when the average age corresponding to the second user is not greater than a specified age.
  • sub-module for determining the user to be pushed includes: a career acquisition unit and a second user determining unit to be pushed, wherein:
  • the occupation obtaining unit is configured to obtain the occupation corresponding to the second user when the number of users corresponding to the second user is greater than the specified number.
  • the second user to be pushed determination unit is configured to determine the second user as the user to be pushed when the proportion of the target occupation in the occupation corresponding to the second user is greater than the specified proportion.
  • sub-module for determining the user to be pushed includes: an average income obtaining unit and a third user determining unit to be pushed, wherein:
  • the average income obtaining unit is configured to obtain the average income corresponding to the second user when the number of users corresponding to the second user is greater than the specified number.
  • the third user to be pushed determination unit is configured to determine the second user as the user to be pushed when the average income corresponding to the second user is greater than the specified income.
  • the content push module 350 is configured to push the designated push content to the user to be pushed.
  • the content pushing module 350 includes: a first user characteristic acquiring submodule and a pushing time determining submodule, wherein:
  • the first user characteristic acquisition sub-module is used to acquire the first user characteristic of the user to be pushed.
  • the push time determination submodule is configured to determine the push time for pushing the specified push content to the user to be pushed based on the first user characteristic of the user to be pushed.
  • the content pushing module 250 includes: a second user characteristic acquiring submodule and a pushing frequency determining submodule, wherein:
  • the second user characteristic acquisition submodule is used to acquire the second user characteristic of the user to be pushed.
  • the push times determination submodule is configured to determine the push times of pushing the specified push content to the push user based on the second user characteristic of the push user.
  • the content pushing module 250 includes: a third user feature acquisition sub-module and a typesetting mode determination sub-module, wherein:
  • the third user characteristic acquisition submodule is used to acquire the third user characteristic of the user to be pushed.
  • the typesetting method determining sub-module is configured to determine the typesetting method of the designated push content to be pushed to the user to be pushed based on the third user characteristic of the user to be pushed.
  • the content pushing device 300 further includes: a third selection condition acquisition module, a third user selection module, and a user determination module to be pushed, wherein:
  • the third selection condition obtaining module is configured to update the first selection condition to a third selection condition when the first user does not meet a specified condition.
  • the third user selection module is configured to select a third user from the first users based on the third selection condition.
  • the user to be pushed determination module is configured to determine the third user as the user to be pushed when the third user meets the specified condition.
  • the content pushing device 300 further includes: a selection condition determination module and a target user selection module, wherein:
  • the selection condition determination module is configured to determine the second selection condition as a target selection condition when the second user satisfies the specified condition.
  • the target user selection module is used to select target users from the target database based on the target selection conditions when selecting push objects of other content to be pushed.
  • the content pushing device 300 includes: a first conversion rate acquisition module and a fourth selection condition acquisition module, wherein:
  • the first conversion rate obtaining module is configured to obtain the conversion rate of the designated push content.
  • the fourth selection condition acquisition module is configured to update the second selection condition to a fourth selection condition when the conversion rate of the designated push content is greater than the first designated conversion rate, wherein the fourth selection condition is satisfied
  • the difficulty is less than the difficulty of satisfying the second selection condition.
  • the content pushing device 300 includes: a second conversion rate acquisition module and a fifth selection condition acquisition module, wherein:
  • the second conversion rate obtaining module is configured to obtain the conversion rate of the designated push content.
  • the fifth selection condition obtaining module is configured to update the second selection condition to a fifth selection condition when the conversion rate of the specified push content is less than the second specified conversion rate, wherein the second specified conversion rate is less than For the first designated conversion rate, the difficulty of satisfying the fifth selection condition is greater than the difficulty of satisfying the second selection condition.
  • the coupling between the modules may be electrical, mechanical or other forms of coupling.
  • the functional modules in the various embodiments of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or software functional modules.
  • FIG. 15 shows a structural block diagram of a server 100 provided by an embodiment of the present application.
  • the server 100 may be a server capable of running application programs, such as a smart phone, a tablet computer, or an e-book.
  • the server 100 in this application may include one or more of the following components: a processor 110, a memory 120, and one or more application programs, where one or more application programs may be stored in the memory 120 and configured to be operated by one or Multiple processors 110 execute, and one or more programs are configured to execute the method described in the foregoing method embodiment.
  • the processor 110 may include one or more processing cores.
  • the processor 110 uses various interfaces and lines to connect various parts of the entire server 100, and executes the server by running or executing instructions, programs, code sets, or instruction sets stored in the memory 120, and calling data stored in the memory 120. 100's various functions and processing data.
  • the processor 110 may adopt at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA).
  • DSP Digital Signal Processing
  • FPGA Field-Programmable Gate Array
  • PDA Programmable Logic Array
  • the processor 110 may be integrated with one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), a modem, and the like.
  • the CPU mainly processes the operating system, user interface, and application programs; the GPU is used for rendering and drawing the content to be displayed; the modem is used for processing wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 110, but may be implemented by a communication chip alone.
  • the memory 120 may include random access memory (RAM) or read-only memory (Read-Only Memory).
  • the memory 120 may be used to store instructions, programs, codes, code sets or instruction sets.
  • the memory 120 may include a program storage area and a data storage area, where the program storage area may store instructions for implementing the operating system and instructions for implementing at least one function (such as touch function, sound playback function, image playback function, etc.) , Instructions used to implement the following various method embodiments, etc.
  • the storage data area can also store data (such as phone book, audio and video data, chat record data) created by the server 100 during use.
  • FIG. 16 shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application.
  • the computer-readable medium 400 stores program code, and the program code can be invoked by a processor to execute the method described in the foregoing method embodiment.
  • the computer-readable storage medium 400 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • the computer-readable storage medium 400 includes a non-transitory computer-readable storage medium.
  • the computer-readable storage medium 400 has a storage space for the program code 410 for executing any method steps in the above-mentioned methods. These program codes can be read from or written into one or more computer program products.
  • the program code 410 may be compressed in a suitable form, for example.
  • the content pushing method, device, server, and storage medium select the first user from the target database based on the first selection condition, where the target database includes user data updated in real time. Including multiple users and user characteristics corresponding to each of the multiple users.
  • the first selection condition is updated to the second selection condition, and the target database is selected based on the second selection condition.
  • the second user when the second user meets the specified conditions, the second user is determined to be the user to be pushed, and the specified push content is pushed to the user to be pushed, so that the first selection condition is selected from the target database that updates user data in real time.
  • the first selection condition is updated to the second selection condition to select a second user who meets the specified conditions from the target database for content push, so as to improve the selection efficiency of pushing users and Push accuracy.

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

本申请公开了一种内容推送方法、装置、服务器以及存储介质，涉及信息推送技术领域。基于第一选取条件从目标数据库中选取第一用户，其中，目标数据库中包括实时更新的用户数据，当第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，基于第二选取条件从目标数据库中选取第二用户，当第二用户满足指定条件时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容。本申请通过第一选取条件从实时更新用户数据的目标数据库中选取第一用户，并在第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，以通过第二选取条件从目标数据库中选取满足指定条件的第二用户进行内容推送，以提升推送用户的选取效率和推送精准性。

Description

内容推送方法、装置、服务器以及存储介质 技术领域
本申请涉及信息推送技术领域，更具体地，涉及一种内容推送方法、装置、服务器以及存储介质。
背景技术
随着科学技术的发展，电子设备的使用越来越广泛，功能越来越多，已经成为人们日常生活中的必备之一。目前，服务器一般会向电子设备推送内容，以在电子设备进行展示。
发明内容
鉴于上述问题，本申请提出了一种内容推送方法、装置、服务器以及存储介质，以解决上述问题。
第一方面，本申请实施例提供了一种内容推送方法，所述方法包括：基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征；当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件；基于所述第二选取条件从所述目标数据库中选取第二用户；当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户；向所述待推送用户推送指定推送内容。
第二方面，本申请实施例提供了一种内容推送装置，所述装置包括：第一用户选取模块，用于基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征；选取条件更新模块，用于当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件；第二用户选取模块，用于基于所述第二选取条件从所述目标数据库中选取第二用户；待推送用户确定模块，用于当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户；内容推送模块，用于向所述待推送用户推送指定推送内容。
第三方面，本申请实施例提供了一种服务器，包括存储器和处理器，所述存储器耦接到所述处理器，所述存储器存储指令，当所述指令由所述处理器执行时所述处理器执行上述方法。
第四方面，本申请实施例提供了一种计算机可读取存储介质，所述计算机可读取存储介质中存储有程序代码，所述程序代码可被处理器调用执行上述方法。
本申请实施例提供的内容推送方法、装置、服务器以及存储介质，基于第一选取条件从目标数据库中选取第一用户，其中，目标数据库中包括实时更新的用户数据，用户数据包括多个用户和多个用户中的每个用户对应的用户特征，当第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，基于第二选取条件从目标数据库中选取第二用户，当第二用户满足指定条件时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容，从而通过第一选取条件从实时更新用户数据的目标数据库中选取第一用户，并在第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，以从目标数据库中选取满足指定条件的第二用户进行内容推送，以提升推送用户的选取效率和推送精准性。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例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它的附图。
图1示出了可用于本申请实施例提供的内容推送方法的应用环境示意图；
图2示出了本申请一个实施例提供的内容推送方法的流程示意图；
图3示出了本申请又一个实施例提供的内容推送方法的流程示意图；
图4示出了本申请的图3所示的内容推送方法的步骤S280的一个实施例的流程示意图；
图5示出了本申请的图3所示的内容推送方法的步骤S280的又一个实施例的流程示意图；
图6示出了本申请的图3所示的内容推送方法的步骤S280的再一个实施例的流程示意图；
图7示出了本申请再一个实施例提供的内容推送方法的流程示意图；
图8示出了本申请另一个实施例提供的内容推送方法的流程示意图；
图9示出了本申请又再一个实施例提供的内容推送方法的流程示意图；
图10示出了本申请的图9所示的内容推送方法的步骤S550的一个实施例的流程示意图；
图11示出了本申请的图9所示的内容推送方法的步骤S550的又一个实施例的流程示意图；
图12示出了本申请的图9所示的内容推送方法的步骤S550的再一个实施例的流程示意图；
图13示出了本申请又另一个实施例提供的内容推送方法的流程示意图；
图14示出了本申请实施例提供的内容推送装置的模块框图；
图15示出了本申请实施例用于执行根据本申请实施例的内容推送方法的服务器的框图；
图16示出了本申请实施例的用于保存或者携带实现根据本申请实施例的内容推送方法的程序 代码的存储单元。
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。
运营方一般会通过向电子设备推送内容以达到运营目的。通常，运营方在推送前会获取用户画像(用户特征)，其中，用户画像又称用户角色，是一种勾画目标用户、联系用户诉求及设计方向的有效工具，用户画像在各领域得到了广泛的应用。用户画像通常包含多个维度的画像特征来表征用户的样子，对于促销活动，每个活动都需要对应一些用户画像特征，活动针对的所有用户画像特征即可形成活动画像，通过活动画像与用户画像进行对比，将包含活动画像的画像特征的用户画像圈进活动人群，即可生成促销活动的活动人群，以针对该活动人群进行活动投放，以实现目标用户的精准圈取，再进行统一、批量的推送，以提升推送内容的点击率与资源利用率，同时最小化无用推送信息对用户体验的负面影响。目前，用户画像一般采用离线计算的方式获取，其中，离线计算的计算逻辑必须提前确定及实现，对于业务需求场景的多样性限制很大，离线计算逻辑不可能提前计算业务所有的分析和画像场景，另外，离线计算方式的实时性较低，从需求的构思形成到业务场景落地实现可能需要几天的时间，对于多种想法的对比验证效率比较低。
针对上述问题，发明人经过长期的研究发现，并提出了本申请实施例提供的内容推送方法、装置、服务器以及存储介质，通过第一选取条件从实时更新用户数据的目标数据库中选取第一用户，并在第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，以从目标数据库中选取满足指定条件的第二用户进行内容推送，以提升推送用户的选取效率和推送精准性。其中，具体的内容推送方法在后续的实施例中进行详细的说明。
下面将针对可用于本申请实施例提供的内容推送方法的环境示意图进行描述。
请参阅图1，图1示出了可用于本申请实施例提供的内容推送方法的应用环境示意图。其包括服务器100和电子设备200，电子设备200和服务器100通信连接以实现数据交互，例如，服务器100可以发送推送内容至电子设备200。其中，电子设备200和服务器100可以通过数据网络或无线网络连接，当电子设备200和服务器100通过数据网络连接时，电子设备200和服务器100可以通过2G网络、3G网络、4G网络、5G网络等连接，当电子设备200和服务器100通过无线网络连接时，电子设备200和服务器100可以通过无线保真WiFi网络连接，在此不做限定。其中，电子设备200可以为智能手机、平板电脑、穿戴式电子设备等，服务器100可以为传统服务器，云服务器等，在此不做限定。
请参阅图2，图2示出了本申请一个实施例提供的内容推送方法的流程示意图。所述内容推送方法用于通过第一选取条件从实时更新用户数据的目标数据库中选取第一用户，并在第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，以从目标数据库中选取满足指定条件的第二用户进行内容推送，以提升推送用户的选取效率和推送精准性。其中，在具体的实施例中，所述内容推送方法应用于如图14所示的内容推送装置300以及配置有内容推送装置300的电子设备100(图15)。下面将以服务器为例，说明本实施例的具体流程，其中，本实施例所应用的服务器可以为云服务器，也可以为传统服务器，在此不做限定。下面将针对图2所示的流程进行详细的阐述，所述内容推送方法具体可以包括以下步骤：
步骤S110：基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征。
在本实施例中，服务器可以预先设置有目标数据库，且该目标数据库中包括实时更新的用户数据。在一些实施方式中，服务器可以实时获取用户数据，并将实施获取的用户数据经过简单的清洗和维度填充后，直接存储到目标数据库中进行实时更新，以支撑真正的“实时数据”计算。例如，假设目标数据库中存储有目标用户在最近一周的用户数据，在通过实时获取的方式获取到该目标用户的当前用户数据时，可以将该目标用户的当前用户数据进行简单的清洗和维度填充后存储至目标数据库，以与目标数据库中已存储的目标用户在最近一周的用户数据共同作为目标用户的用户数据参与计算。
在本实施例中，用户数据包括多个用户和多个用户中的每个用户对应的用户特征。在一些实施方式中，每个用户对应的用户特征的数量可以相同，也可以不相同，且每个用户对应的用户特征可以包括：用户年龄、用户职业、用户性别、用户收入、用户喜好、用户习惯等，在此不做限定。
在一些实施方式中，该目标数据库可以为存储引擎。
在一些实施方式中，服务器在有指定推送内容需要向电子设备推送时，可以从目标数据库中选取用户作为待推送用户，并将该指定推送内容推送该所选取的待推送用户对应的电子设备。在本实施例中，可以采用第一选取条件从目标数据库中选取用户，并将采用第一选取条件从目标数据库中选取的用户作为第一用户，其中，第一用户的数量为一个或多个，在此不做限定。在一些实施方式中，第一选取条件可以预先 设置并存储在服务器，在服务器有指定推送内容需要推送时，直接从存储区域获取该第一选取条件，并基于该第一选取条件从目标数据库中选取第一用户。在一些实施方式中，第一选取条件可以在有指定推送内容需要推送时从其他电子设备接收，例如，可以在有指定推送内容需要推送时从运营商对应的电子设备接收，并基于该第一选取条件从目标数据库中选取第一用户。
示例性的，例如某个游戏运营想对近期游戏的活跃用户提升一下留存率，运营场景是需要针对最近3天启动过该游戏的次数超过3次的用户发送一波近期连续登陆奖励的活动，则可以设置第一选取条件为：近3天登陆某个游戏的次数超过3次，并基于该近3天登陆某个游戏的次数超过3次的第一选取条件从目标数据库中选取用户作为第一用户。
步骤S120：当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件。
在一些实施方式中，服务器可以预先设置并存储有指定条件，该指定条件用于作为所选取的用户的判断依据。因此，在本实施例中，在基于第一选取条件从目标数据库中选取获得第一用户后，可以将第一用户与指定条件进行比较，以判断第一用户是否满足指定条件，其中，当判断结果表征第一用户不满足指定条件时，可以认为通过第一选取条件从目标数据库中选取的第一用户不满足待推送用户的要求，因此，可以对第一选取条件进行更改或优化，于本实施例中，可以将第一选取条件更新为第二选取条件，其中，当判断结果表征第一用户满足指定条件时，可以认为通过第一选取条件从目标数据库中选取的第一用户满足待推送用户的要求，因此，可以将第一用户确定为待推送用户。
在一些实施方式中，第二选取条件可以预先设置并存储在服务器，确定第一选取条件从选取的第一用户不满足指定条件时，直接从存储区域获取该第二选取条件。在一些实施方式中，第二选取条件可以在确定第一选取条件从选取的第一用户不满足指定条件时从其他电子设备接收，例如，可以在确定第一选取条件从选取的第一用户不满足指定条件时从运营商对应的电子设备接收户等，在此不做限定。
步骤S130：基于所述第二选取条件从所述目标数据库中选取第二用户。
在本实施例中，在获得第二选取条件后，可以采用第二选取条件从目标数据库中选取用户，并将采用第二选取条件从目标数据库中选取的用户作为第二用户，其中，第二用户的数量为一个或多个，在此不做限定。
示例性的，例如某个游戏运营想对近期游戏的活跃用户提升一下留存率，运营场景是需要针对最近3天启动过该游戏的次数超过3次的用户发送一波近期连续登陆奖励的活动，则可以设置第一选取条件为：近3天登陆某个游戏的次数超过3次，并基于该近3天登陆某个游戏的次数超过3次的第一选取条件从目标数据库中选取用户作为第一用户，当第一用户不满足指定条件时，可以将第一选取条件更新为第二选取条件，例如，将第一选取条件近3天登陆某个游戏的次数超过3次更新为第二选取条件近3天登陆某个游戏的次数超过2次，或者将第一选取条件近3天登陆某个游戏的次数超过3次更新为第二选取条件近5天登陆某个游戏的次数超过3次等，从而将第一选取条件更新为满足难度不同的第二选取条件，以不断更新选取条件，达到所需的运营目的。
其中，在一些实施方式中，第一选取条件的满足难度大于第二选取条件的满足难度。因此，在基于第一选取条件从目标数据库中选取的第一用户不满足指定条件时，可以将第一选取条件更新为满足难度较低的第二选取条件，并基于第二选取条件从目标数据库中选取第二用户，以不断降低选取条件的满足难度，达到所选取的用户满足运营需求的目的。
步骤S140：当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户。
在本实施例中，在基于第二选取条件从目标数据库中选取获得第二用户后，可以将第二用户与指定条件进行比较，以判断第二用户是否满足指定条件，其中，当判断结果表征第二用户不满足指定条件时，可以认为通过第二选取条件从目标数据库中选取的第二用户不满足待推送用户的要求，因此，可以继续对第二选取条件进行更改或优化，其中，当判断结果表征第二用户满足指定条件时，可以认为通过第二选取条件从目标数据库中选取的第二用户满足待推送用户的要求，因此，可以将第二用户确定为待推送用户。
步骤S150：向所述待推送用户推送指定推送内容。
在一些实施方式中，服务器在将第二用户确定为待推送用户后，可以将指定推送内容推送给第二用户，即向待推送用户推送指定推送内容。
本申请一个实施例提供的内容推送方法，基于第一选取条件从目标数据库中选取第一用户，其中，目标数据库中包括实时更新的用户数据，用户数据包括多个用户和多个用户中的每个用户对应的用户特征，当第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，基于第二选取条件从目标数据库中选取第二用户，当第二用户满足指定条件时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容，从而通过第一选取条件从实时更新用户数据的目标数据库中选取第一用户，并在第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，以从目标数据库中选取满足指定条件的第二用户进行内容推送，以提升推送用户的选取效率和推送精准性。
请参阅图3，图3示出了本申请又一个实施例提供的内容推送方法的流程示意图，下面将针对 图3所示的流程进行详细的阐述，所述内容推送方法具体可以包括以下步骤：
步骤S210：获取所述第一选取条件对应的第一筛选特征。
在本实施例中，在确定采用第一选取条件从目标数据库中选取用户作为待推送用户时，可以获取该第一选取条件对应的第一筛选特征。在一些实施方式中，可以通过对第一选取条件进行特征提取的方式，从第一选取条件中获取第一筛选特征，可以通过对第一选取条件进行关键词提取的方式，从第一选取条件中获取第一筛选特征等，在此不做限定。例如，当第一选取条件为：近3天登陆某个游戏的次数超过3次时，则该第一选取条件对应的第一筛选特征可以为：xx天-xx天，登陆某游戏次数大于3次。
步骤S220：从所述目标数据库中选取对应有所述第一筛选特征的用户，作为所述第一用户。
其中，由于目标数据库中包括实时更新的用户数据，用户数据包括多个用户中的每个用户对应的用户特征，因此，可以从目标数据库中获取每个用户对应的用户特征。在一些实施方式中，在从第一选取条件中提取到第一选取条件对应的第一筛选特征后，可以将第一筛选特征和每个用户对应的用户特征进行比较，当第一筛选特征和用户对应的用户特征匹配时，表征该用户为对应有第一筛选特征的用户，当第一筛选特征和用户对应的用户特征不匹配时，表征该用户为不对应有第一筛选特征的用户，即，通过上述特征比较方式，可以从目标数据库中选取对应有第一筛选特征的用户，并将对应有第一筛选特征的用户作为第一用户。
步骤S230：获取所述第一用户对应的用户数量。
在一些实施方式中，指定条件可以为指定数量，且满足指定条件可以为大于指定数量，不满足指定条件可以为不满足指定数量。
在本实施例中，在从目标数据库中选取获得第一用户后，可以获取该第一用户对应的用户数量。例如，若从目标数据库中选取获得的第一用户为300人，则获取该第一用户对应的用户数量为300。
步骤S240：当所述第一用户对应的用户数量不大于指定数量时，将所述第一选取条件更新为所述第二选取条件。
在一些实施方式中，在获取第一用户对应的用户数量后，可以将第一用户对应的用户数量和指定数量进行比较，其中，当第一用户对应的用户数量大于指定数量时，表征第一用户满足指定条件，可以将第一用户确定为待推送用户，当第一用户对应的用户数量不大于指定数量时，表征第一用户不满足指定条件，可以将第一选取条件更新为第二选取条件。
步骤S250：获取所述第二选取条件对应的第二筛选特征。
在本实施例中，在将第一选取条件更新为第二选取条件后，可以获取该第二选取条件对应的第二筛选特征。在一些实施方式中，可以通过对第二选取条件进行特征提取的方式，从第二选取条件中获取第二筛选特征，可以通过对第二选取条件进行关键词提取的方式，从第二选取条件中获取第二筛选特征等，在此不做限定。例如，当第二选取条件为：近3天登陆某个游戏的次数超过2次时，则该第二选取条件对应的第一筛选特征可以为：xx天-xx天，登陆某游戏次数大于2次。
步骤S260：从所述目标数据库中选取对应有所述第二筛选特征的用户，作为所述第二用户。
其中，由于目标数据库中包括实时更新的用户数据，用户数据包括多个用户中的每个用户对应的用户特征，因此，可以从目标数据库中获取每个用户对应的用户特征。在一些实施方式中，在从第二选取条件中提取到第二选取条件对应的第二筛选特征后，可以将第二筛选特征和每个用户对应的用户特征进行比较，当第二筛选特征和用户对应的用户特征匹配时，表征该用户为对应有第二筛选特征的用户，当第二筛选特征和用户对应的用户特征不匹配时，表征该用户为不对应有第二筛选特征的用户，即，通过上述特征比较方式，可以从目标数据库中选取对应有第二筛选特征的用户，并将对应有第二筛选特征的用户作为第二用户。
步骤S270：获取所述第二用户对应的用户数量。
在本实施例中，在从目标数据库中选取获得第二用户后，可以获取该第二用户对应的用户数量。例如，若从目标数据库中选取获得的第二用户为500人，则获取该第二用户对应的用户数量为500。
步骤S280：当所述第二用户对应的用户数量大于指定数量时，将所述第二用户确定为待推送用户。
在一些实施方式中，在获取第二用户对应的用户数量后，可以将第二用户对应的用户数量和指定数量进行比较，其中，当第二用户对应的用户数量大于指定数量时，表征第二用户满足指定条件，可以将第二用户确定为待推送用户，当第二用户对应的用户数量不大于指定数量时，表征第二用户不满足指定条件，可以继续对第二选取条件进行更新。
示例性的，例如某个游戏运营想对近期游戏的活跃用户提升一下留存率，运营场景是需要针对最近3天启动过该游戏的次数超过3次的用户发送一波近期连续登陆奖励的活动，则可以设置第一选取条件为：近3天登陆某个游戏的次数超过3次，并基于该近3天登陆某个游戏的次数超过3次的第一选取条件从目标数据库中选取用户作为第一用户，当第一用户对应的用户数量不大于指定数量时，例如，第一用户对应的用户数量为300，指定数量为400时，可以将第一选取条件更新为第二选取条件，例如，将第一选取条 件近3天登陆某个游戏的次数超过3次更新为第二选取条件近3天登陆某个游戏的次数超过2次，或者将第一选取条件近3天登陆某个游戏的次数超过3次更新为第二选取条件近5天登陆某个游戏的次数超过3次等，从而将第一选取条件更新为满足难度不同的第二选取条件，以不断更新选取条件，达到所需的运营目的。其中，若通过该第二选取条件选取的第二用户对应的用户数量为500时，可以确定第二用户对应的用户数量500大于指定数量400，则可以将第二用户确定为待推送用户。
请参阅图4，图4示出了本申请的图3所示的内容推送方法的步骤S280的一个实施例的流程示意图，下面将针对图4所示的流程进行详细的阐述，所述方法具体可以包括以下步骤：
步骤S281A：当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的平均年龄。
在一些实施方式中，为了提升指定推送内容的推送更具有针对性以及精准性，在第二用户对应的而用户数量大于指定数量时，可以获取满足指定条件的第二用户对应的平均年龄，其中，每个第二用户的年龄可以通过目标数据库中实时更新的用户数据所包含的用户特征获得。
步骤S282A：当所述第二用户对应的平均年龄不大于指定年龄时，将所述第二用户确定为待推送用户。
其中，不同年龄段所适用的内容不同，例如，老年人不适用游戏内容，因此，可以将老年人的认定年龄设置为指定年龄，该指定年龄用于作为第二用户对应的平均年龄的判断依据，因此，在本实施例中，在获得第二用户对应的平均年龄后，可以将第二用户对应的平均年龄与指定年龄进行比较，以判断第二用户对应的平均年龄是否不大于指定年龄，其中，当判断结果表征第二用户对应的平均年龄不大于指定年龄时，表征该指定推送内容适用于第二用户中的所有用户或大多数用户，则可以将第二用户确定为待推送用户，当判断结果表征第二用户对应的平均年龄大于指定年龄时，表征该指定推送内容不适用于第二用户中的所有用户或大多数用户，则可以不将第二用户确定为待推送用户。
请参阅图5，图5示出了本申请的图3所示的内容推送方法的步骤S280的又一个实施例的流程示意图，下面将针对图5所示的流程进行详细的阐述，所述方法具体可以包括以下步骤：
步骤S281B：当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的职业。
在一些实施方式中，为了提升指定推送内容的推送更具有针对性以及精准性，在第二用户对应的而用户数量大于指定数量时，可以获取满足指定条件的第二用户对应的职业，其中，每个第二用户的职业可以通过目标数据库中实时更新的用户数据所包含的用户特征获得。
步骤S282B：当所述第二用户对应的职业中的目标职业的占比大于指定占比时，将所述第二用户确定为待推送用户。
其中，不同职业的用户所适用的内容不同，例如，学会适用于诗词推送内容，因此，可以学生设置为目标职业，该目标职业用于作为第二用户对应的职业的判断依据，因此，在本实施例中，在获得第二用户对应的职业后，可以将第二用户对应的职业与目标进行比较，以判断第二用户对应的职业是否属于目标职业，其中，当判断结果表征第二用户对应的职业属于目标职业时，表征该指定推送内容适用于该第二用户，当判断结果表征第二用户对应的职业不属于目标职业时，表征该指定推送内容不适用于该第二用户，从而通过上述方式，可以获取第二用户对应的职业中属于目标职业的占比。
在一些实施方式中，服务器可以预先设置并存储有指定占比，该指定占比用于作为第二用户对应的职业中属于目标职业的占比的判断依据，因此，在本实施例中，在获得第二用户对应的职业中属于目标职业的占比后，可以将第二用户对应的职业中属于目标职业的占比与指定占比进行比较，以获得比较结果。当比较结果表征第二用户对应的职业中属于目标职业的占比大于指定占比时，表征该指定推送内容适用于第二用户中的所有用户或大多数用户，则可以将第二用户确定为待推送用户，当比较结果表征第二用户对应的职业中属于目标职业的占比不大于指定占比时，表征该指定推送内容不适用于第二用户中的所有用户或大多数用户，则可以不将第二用户确定为待推送用户。
请参阅图6，图6示出了本申请的图3所示的内容推送方法的步骤S280的再一个实施例的流程示意图，下面将针对图6所示的流程进行详细的阐述，所述方法具体可以包括以下步骤：
步骤S281C：当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的平均收入。
在一些实施方式中，为了提升指定推送内容的推送更具有针对性以及精准性，在第二用户对应的而用户数量大于指定数量时，可以获取满足指定条件的第二用户对应的平均收入，其中，每个第二用户的收入可以通过目标数据库中实时更新的用户数据所包含的用户特征获得。
步骤S282C：当所述第二用户对应的平均收入大于指定收入时，将所述第二用户确定为待推送用户。
其中，不同收入的用户所适用的内容不同，例如，收入高的用户适用于付费内容，因此，可以将收入高的用户的收入设置为指定收入，该指定收入用于作为第二用户对应的平均收入的判断依据，因此，在本实施例中，在获得第二用户对应的平均收入后，可以将第二用户对应的平均收入与指定收入进行比较，以判断第二用户对应的平均收入是否大于指定收入，其中，当判断结果表征第二用户对应的平均收入大于指 定收入时，表征该指定推送内容适用于第二用户中的所有用户或大多数用户，则可以将第二用户确定为待推送用户，当判断结果表征第二用户对应的平均收入不大于指定收入时，表征该指定推送内容不适用于第二用户中的所有用户或大多数用户，则可以不将第二用户确定为待推送用户。
步骤S290：向所述待推送用户推送指定推送内容。
其中，步骤S290的具体描述请参阅步骤S130，在此不再赘述。
本申请又一个实施例提供的内容推送方法，获取第一选取条件对应的第一筛选特征，从目标数据库中选取对应有第一筛选特征的用户作为第一用户，获取第一用户对应的用户数量，当第一用户对应的用户数量不大于指定数量时，将第一选取条件更新为第二选取条件，获取第二选取条件对应的第二筛选特征，从目标数据库中选取对应有第二筛选特征的用户作为第二用户，获取第二用户对应的用户数量，当第二用户对应的用户数量大于指定数量时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容。相较于图2所示的内容推送方法，本实施例还根据用户特征与筛选条件中的筛选特征进行对比，以从目标数据库中选取对应的用户，以提升选取的用户的准确性。另外，本实施例还在用户对应的用户数量作为指定条件的判断依据，以提升所选取的用户数量的灵活性和准确性。
请参阅图7，图7示出了本申请再一个实施例提供的内容推送方法的流程示意图。下面将针对图7所示的流程进行详细的阐述，所述内容推送方法具体可以包括以下步骤：
步骤S310：基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征。
其中，步骤S310的具体描述请参阅步骤S110，在此不再赘述。
步骤S320：当所述第一用户不满足指定条件时，将所述第一选取条件更新为第三选取条件。
在一些实施方式中，当判断结果表征第一用户不满足指定条件时，可以认为通过第一选取条件从目标数据库中选取的第一用户不满足待推送用户的要求，因此，可以对第一选取条件进行更改或优化，于本实施例中，可以将第一选取条件更新为第三选取条件。
在一些实施方式中，第三选取条件可以预先设置并存储在服务器，确定第一选取条件从选取的第一用户不满足指定条件时，直接从存储区域获取该第三选取条件。在一些实施方式中，第三选取条件可以在确定第一选取条件从选取的第一用户不满足指定条件时从其他电子设备接收，例如，可以在确定第一选取条件从选取的第一用户不满足指定条件时从运营商对应的电子设备接收户等，在此不做限定。
步骤S330：基于所述第三选取条件从所述第一用户中选取第三用户。
在本实施例中，在获得第三选取条件后，可以采用第三选取条件从目标数据库中选取用户，并将采用第三选取条件从目标数据库中选取的用户作为第三用户，其中，第二用户的数量为一个或多个，在此不做限定。
示例性的，例如某个游戏运营想对近期游戏的活跃用户提升一下留存率，运营场景是需要针对最近3天启动过该游戏的次数超过3次的用户发送一波近期连续登陆奖励的活动，且限定奖励人数为不大于200人，则可以设置第一选取条件为：近3天登陆某个游戏的次数超过3次，设置指定条件为不大于200人，并基于该近3天登陆某个游戏的次数超过3次的第一选取条件从目标数据库中选取用户作为第一用户，当第一用户对应的用户数量大于200时，可以将第一选取条件更新为第三选取条件，例如，将第一选取条件近3天登陆某个游戏的次数超过3次更新为第二选取条件近3天登陆某个游戏的次数超过4次等，从何在第一用户的基础上减少满足条件的用户数量，以获得第三用户，达到所需的运营目的。
步骤S340：当所述第三用户满足所述指定条件时，将所述第三用户确定为待推送用户。
在本实施例中，在基于第三选取条件从第一用户中选取获得第三用户后，可以将第三用户与指定条件进行比较，以判断第三用户是否满足指定条件，其中，当判断结果表征第三用户不满足指定条件时，可以认为通过第三选取条件从第一用户中选取的第三用户不满足待推送用户的要求，因此，可以继续对第三选取条件进行更改或优化，其中，当判断结果表征第三用户满足指定条件时，可以认为通过第三选取条件从目标数据库中选取的第三用户满足待推送用户的要求，因此，可以将第三用户确定为待推送用户。
步骤S350：向所述待推送用户推送指定推送内容。
其中，步骤S350的具体描述请参阅步骤S150，在此不再赘述。
本申请再一个实施例提供的内容推送方法，基于第一选取条件从目标数据库中选取第一用户，当第一用户不满足指定条件时，将第一选取条件更新为第三选取条件，基于第三选取条件从第一用户中选取第三用户，当第三用户满足指定条件时，将第三用户确定为待推送用户，向待推送用户推送指定推送内容。相较于图2所示的内容推送方法，本实施例还在第一选取条件选取的第一用户不满足指定条件时，将第一选取条件更新为第三选取条件，以从第一用户中选取满足指定条件的第三用户进行内容推送，以提升待推送用户的选取效率。
请参阅图8，图8示出了本申请另一个实施例提供的内容推送方法的流程示意图。下面将针对 图8所示的流程进行详细的阐述，所述内容推送方法具体可以包括以下步骤：
步骤S410：基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征。
步骤S420：当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件。
步骤S430：基于所述第二选取条件从所述目标数据库中选取第二用户。
步骤S440：当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户。
步骤S450：向所述待推送用户推送指定推送内容。
其中，步骤S410-步骤S450的具体描述请参阅步骤S110-步骤S150，在此不再赘述。
步骤S460：当所述第二用户满足所述指定条件时，将所述第二选取条件确定为目标选取条件。
在一些实施方式中，在确定第二用户满足指定条件时，可以将第二选取条件确定为目标选取条件，并将目标选取条件存储作为下一次推送对象选取时的首选选取条件，以时选取条件更符合用户需求，提升待推送对象的确定效率。
步骤S470：当进行其他待推送内容的推送对象选取时，基于所述目标选取条件从目标数据库中选取目标用户。
在一些实施方式中，当服务器有其他待推送内容需要进行推送时，可以从存储区域获取目标选取条件，并基于目标选取条件从目标数据库中选取目标用户，以使选取的目标用户的选取条件与上一次一致，更符合用户的需求。
本申请另一个实施例提供的内容推送方法，基于第一选取条件从目标数据库中选取第一用户，当第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，基于第二选取条件从目标数据库中选取第二用户，当第二用户满足指定条件时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容，当第二用户满足指定条件时，将第二选取条件确定为目标选取条件，当进行其他待推送内容的推送对象选取时，基于目标选取条件从目标数据库中选取目标用户。相较于图2所示的内容推送方法，本实施例还在第二用户满足指定条件时，将第二选取条件确定为目标选取条件，并将目标选取条件作为其他待推送内容的推送对象选取的筛选条件，以提升推送对象的选取效率和准确性。
请参阅图9，图9示出了本申请又再一个实施例提供的内容推送方法的流程示意图。下面将针对图9所示的流程进行详细的阐述，所述内容推送方法具体可以包括以下步骤：
步骤S510：基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征。
步骤S520：当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件。
步骤S530：基于所述第二选取条件从所述目标数据库中选取第二用户。
步骤S540：当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户。
步骤S550：向所述待推送用户推送指定推送内容。
其中，步骤S510-步骤S550的具体描述请参阅步骤S110-步骤S150，在此不再赘述。
请参阅图10，图10示出了本申请的图9所示的内容推送方法的步骤S550的一个实施例的流程示意图。下面将针对图10所示的流程进行详细的阐述，所述方法具体可以包括以下步骤：
步骤S551A：获取所述待推送用户的第一用户特征。
在一些实施方式中，服务器可以记录待推送用户对多个内容的历史行为，并基于待推送用户对多个内容的历史行为确定待推送用户对多个内容的历史兴趣标签，其中，历史兴趣标签包括多个兴趣程度和多个兴趣程度对应的时间，将待推送用户对多个内容的历史兴趣标签存储在目标数据库中作为待推送用户的第一用户特征。因此，在本实施例中，可以获取该待推送用户的第一用户特征，从第一用户特征可以获取该待推送用户在不同的时间对不同的内容的兴趣程度，例如，获取该待推送用户在早上对新闻内容更感兴趣，在中午对外卖内容更感兴趣，在晚上对游戏内容更感兴趣等。
步骤S552A：基于所述待推送用户的第一用户特征，确定向所述待推送用户推送所述指定推送内容的推送时间。
在一些实施方式中，在基于待推送用户的第一用户特征，获得该待推送用户对不同内容在不同时间的感兴趣程度后，可以将指定推送内容与多个内容进行比较，以获取与指定推送内容一致或相近的内容，并获取用户对该与指定推送内容一致或相近的内容感兴趣的时间，将该时间确定为向待推送用户推送该指定推送内容的推送时间，以提升指定推送内容的转化率。
请参阅图11，图11示出了本申请的图9所示的内容推送方法的步骤S550的又一个实施例的流程示意图。下面将针对图11所示的流程进行详细的阐述，所述方法具体可以包括以下步骤：
步骤S551B：获取所述待推送用户的第二用户特征。
在一些实施方式中，服务器可以记录待推送用户对多个内容的历史行为，并基于待推送用户对多个内 容的历史行为确定待推送用户对多个内容的中的每个内容的转化次数，例如，针对每个内容的重复浏览次数、下载次数、启动次数等，将待推送用户对多个内容的中的每个内容的转化次数存储在目标数据库中作为待推送用户的第二用户特征。因此，在本实施例中，可以获取该待推送用户的第二用户特征，从第二用户特征可以获取该待推送用户对多个内容的中的每个内容的转化次数。
步骤S552B：基于所述待推送用户的第二用户特征，确定向所述待推送用户推送所述指定推送内容的推送次数。
在一些实施方式中，在基于待推送用户的第二用户特征，获得该待推送用户对多个内容的中的每个内容的转化次数后，可以将指定推送内容与多个内容进行比较，以获取与指定推送内容一致或相近的内容，并获取用户对该与指定推送内容一致或相近的内容的转化次数，将该转化次数确定为向待推送用户推送指定推送内容的最少推送次数，以提升指定推送内容的转化率。
请参阅图12，图12示出了本申请的图9所示的内容推送方法的步骤S550的再一个实施例的流程示意图。下面将针对图12所示的流程进行详细的阐述，所述方法具体可以包括以下步骤：
步骤S551C：获取所述待推送用户的第三用户特征。
在一些实施方式中，服务器可以记录待推送用户对于电子设备所展示内容的展示偏好，例如，记录待推送用户对于电子设备所展示内容的展示位置的偏好、所展示内容的展示大小的偏好、所展示内容的展示颜色的偏好、所展示内容的展示时长的偏好等，在此不做限定，将该展示偏好存储在目标数据库中作为待推送用户的第三用户特征。因此，在本实施例中，可以获取该待推送用户的第三用户特征，从第三用户特征可以获取用户对内容的展示偏好。
步骤S552C：基于所述待推送用户的第三用户特征，确定向所述待推送用户推送的所述指定推送内容的排版方式。
在一些实施方式中，在基于待推送用户的第三用户特征，获得该待推送用户对内容的展示偏好后，可以将待推送内容以与该展示偏好对应的方式进行排版，以确定向待推送用户推送的指定推送内容的排版方式，从而使得指定推送内容在推送至待推送用户时，其排版方式恰好符合用户的展示偏好，减少用户进行排版调整的步骤，提升用户体验。
步骤S560：获取所述指定推送内容的转化率。
在本实施例中，在将指定推送内容推送至待推送用户后，可以获取该指定推送内容的转化率。在一些实施方式中，该指定推送内容的转化率可以通过对指定推送内容进行跳转的待推送用户的数量除以待推送用户的总数量获得，其中，对指定推送内容进行跳转包括但不限于：点击指定推送内容对应的链接、下载指定推送内容对应的应用、开启指定推送内容对应的应用。
步骤S570：当所述指定推送内容的转化率大于第一指定转化率时，将所述第二选取条件更新为第四选取条件，其中，所述第四选取条件的满足难度小于所述第二选取条件的满足难度。
在一些实施方式中，服务器可以预先设置并存储第一指定转化率，该第一指定转化率用于作为指定推送内容的转化率的判断依据，因此，在本实施例中，在获得指定推送内容的转化率后，可以将指定推送内容的转化率与第一指定转化率进行比较，以判断指定推送的转化率是否大于第一指定转化率，其中，当判断结果表征指定推送内容的转化率大于第一指定转化率时，表征指定推送内容的转化率较高，该指定推送内容的受欢迎程度较高，因此，该指定推送内容可以推广给更多用户，以进一步地提升指定推送内容的传播范围。因此，在一些实施方式中，可以将第二选取条件更新为满足难度更小的第四选取条件，以使更多用户成为待推送用户，从而达到提升指定推送内容的传播范围的目的。
本申请又再一个实施例提供的内容推送方法，基于第一选取条件从目标数据库中选取第一用户，当第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，基于第二选取条件从目标数据库中选取第二用户，当第二用户满足指定条件时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容，获取指定推送内容的转化率，当指定推送内容的转化率大于第一指定转化率时，将第二选取条件更新为第四选取条件，其中，第四选取条件的满足难度小于第二选取条件的满足难度。相较于图2所示的内容推送方法，本实施例还在指定推送内容的转化率大于第一指定转化率时，将第二选取条件更新满足难度较小的第四选取条件，以进一步提升指定推送内容的推广。
请参阅图13，图13示出了本申请又另一个实施例提供的内容推送方法的流程示意图。下面将针对图13所示的流程进行详细的阐述，所述内容推送方法具体可以包括以下步骤：
步骤S610：基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征。
步骤S620：当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件。
步骤S630：基于所述第二选取条件从所述目标数据库中选取第二用户。
步骤S640：当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户。
步骤S650：向所述待推送用户推送指定推送内容。
步骤S660：获取所述指定推送内容的转化率。
其中，步骤S610-步骤S660的具体描述请参阅步骤S510-步骤S560，在此不再赘述。
步骤S670：当所述指定推送内容的转化率小于第二指定转化率时，将所述第二选取条件更新为第五选取条件，其中，所述第二指定转化率小于所述第一指定转化率，所述第五选取条件的满足难度大于所述第二选取条件的满足难度。
在一些实施方式中，服务器可以预先设置并存储第二指定转化率，该第二指定转化率用于作为指定推送内容的转化率的判断依据，因此，在本实施例中，在获得指定推送内容的转化率后，可以将指定推送内容的转化率与第二指定转化率进行比较，以判断指定推送的转化率是否小于第二指定转化率，其中，当判断结果表征指定推送内容的转化率小于第二指定转化率时，表征指定推送内容的转化率较低，该指定推送内容的受欢迎程度较低，因此，该指定推送内容可能推送给了很多不对应的用户，需要进一步提升待推送用户的确定精度，提升指定推送内容的转化率。因此，在一些实施方式中，可以将第二选取条件更新为满足难度更大的第四选取条件，以过滤不对应的用户，从而达到提升指定推送内容的转化率的目的。
本申请又另一个实施例提供的内容推送方法，基于第一选取条件从目标数据库中选取第一用户，当第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，基于第二选取条件从目标数据库中选取第二用户，当第二用户满足指定条件时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容，获取指定推送内容的转化率，当指定推送内容的转化率小于第二指定转化率时，将第二选取条件更新为第五选取条件，其中，第五选取条件的满足难度大于第二选取条件的满足难度。相较于图2所示的内容推送方法，本实施例还在指定推送内容的转化率小于第二指定转化率时，将第二选取条件更新满足难度较大的第五选取条件，以进一步提升指定推送内容的精准度和转化率。
请参阅图14，图14示出了本申请实施例提供的内容推送装置300的模块框图。下面将针对图14所示的框图进行阐述，所述内容推送装置300包括：第一用户选取模块310、选取条件更新模块320、第二用户选取模块330、待推送用户确定模块340以及内容推送模块350，其中：
第一用户选取模块310，用于基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征。
进一步地，所述第一用户选取模块310包括：第一筛选特征获取子模块和第一用户选取子模块，其中：
第一筛选特征获取子模块，用于获取所述第一选取条件对应的第一筛选特征。
第一用户选取子模块，用于从所述目标数据库中选取对应有所述第一筛选特征的用户，作为所述第一用户。
选取条件更新模块320，用于当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件。
进一步地，所述选取条件更新模块320包括：第一用户数量获取子模块和选取条件更新子模块，其中：
第一用户数量获取子模块，用于获取所述第一用户对应的用户数量；
选取条件更新子模块，用于当所述第一用户对应的用户数量不大于指定数量时，将所述第一选取条件更新为所述第二选取条件。
第二用户选取模块330，用于基于所述第二选取条件从所述目标数据库中选取第二用户。
进一步地，所述第二用户选取模块330包括：第二筛选特征获取子模块和第二用户选取子模块，其中：
第二筛选特征获取子模块，用于获取所述第二选取条件对应的第二筛选特征。
第二用户选取子模块，用于从所述目标数据库中选取对应有所述第二筛选特征的用户，作为所述第二用户。
待推送用户确定模块340，用于当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户。
进一步地，所述待推送用户确定模块340包括：第二用户数量获取子模块和待推送用户确定子模块，其中：
第二用户数量获取子模块，用于获取所述第二用户对应的用户数量。
待推送用户确定子模块，用于当所述第二用户对应的用户数量大于指定数量时，将所述第二用户确定为待推送用户。
进一步地，所述待推送用户确定子模块包括：平均年龄获取单元和第一待推送用户确定单元，其中：
平均年龄获取单元，用于当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的平均年龄。
第一待推送用户确定单元，用于当所述第二用户对应的平均年龄不大于指定年龄时，将所述第二用户确定为待推送用户。
进一步地，所述待推送用户确定子模块包括：职业获取单元和第二待推送用户确定单元，其中：
职业获取单元，用于当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的职业。
第二待推送用户确定单元，用于当所述第二用户对应的职业中的目标职业的占比大于指定占比时，将所述第二用户确定为待推送用户。
进一步地，所述待推送用户确定子模块包括：平均收入获取单元和第三待推送用户确定单元，其中：
平均收入获取单元，用于当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的平均收入。
第三待推送用户确定单元，用于当所述第二用户对应的平均收入大于指定收入时，将所述第二用户确定为待推送用户。
内容推送模块350，用于向所述待推送用户推送指定推送内容。
进一步地，所述内容推送模块350包括：第一用户特征获取子模块和推送时间确定子模块，其中：
第一用户特征获取子模块，用于获取所述待推送用户的第一用户特征。
推送时间确定子模块，用于基于所述待推送用户的第一用户特征，确定向所述待推送用户推送所述指定推送内容的推送时间。
进一步地，所述内容推送模块250包括：第二用户特征获取子模块和推送次数确定子模块，其中：
第二用户特征获取子模块，用于获取所述待推送用户的第二用户特征。
推送次数确定子模块，用于基于所述待推送用户的第二用户特征，确定向所述待推送用户推送所述指定推送内容的推送次数。
进一步地，所述内容推送模块250包括：第三用户特征获取子模块和排版方式确定子模块，其中：
第三用户特征获取子模块，用于获取所述待推送用户的第三用户特征。
排版方式确定子模块，用于基于所述待推送用户的第三用户特征，确定向所述待推送用户推送的所述指定推送内容的排版方式。
进一步地，所述内容推送装置300还包括：第三选取条件获取模块、第三用户选取模块以及待推送用户确定模块，其中：
第三选取条件获取模块，用于当所述第一用户不满足指定条件时，将所述第一选取条件更新为第三选取条件。
第三用户选取模块，用于基于所述第三选取条件从所述第一用户中选取第三用户。
待推送用户确定模块，用于当所述第三用户满足所述指定条件时，将所述第三用户确定为待推送用户。
进一步地，所述内容推送装置300还包括：选取条件确定模块和目标用户选取模块，其中：
选取条件确定模块，用于当所述第二用户满足所述指定条件时，将所述第二选取条件确定为目标选取条件。
目标用户选取模块，用于当进行其他待推送内容的推送对象选取时，基于所述目标选取条件从目标数据库中选取目标用户。
进一步地，所述内容推送装置300包括：第一转化率获取模块和第四选取条件获取模块，其中：
第一转化率获取模块，用于获取所述指定推送内容的转化率。
第四选取条件获取模块，用于当所述指定推送内容的转化率大于第一指定转化率时，将所述第二选取条件更新为第四选取条件，其中，所述第四选取条件的满足难度小于所述第二选取条件的满足难度。
进一步地，所述内容推送装置300包括：第二转化率获取模块和第五选取条件获取模块，其中：
第二转化率获取模块，用于获取所述指定推送内容的转化率。
第五选取条件获取模块，用于当所述指定推送内容的转化率小于第二指定转化率时，将所述第二选取条件更新为第五选取条件，其中，所述第二指定转化率小于所述第一指定转化率，所述第五选取条件的满足难度大于所述第二选取条件的满足难度。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述装置和模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，模块相互之间的耦合可以是电性，机械或其它形式的耦合。
另外，在本申请各个实施例中的各功能模块可以集成在一个处理模块中，也可以是各个模块单独物理存在，也可以两个或两个以上模块集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。
请参阅图15，其示出了本申请实施例提供的一种服务器100的结构框图。该服务器100可以是智能手机、平板电脑、电子书等能够运行应用程序的服务器。本申请中的服务器100可以包括一个或多个如下部件：处理器110、存储器120以及一个或多个应用程序，其中一个或多个应用程序可以被存储在存储器120中并被配置为由一个或多个处理器110执行，一个或多个程序配置用于执行 如前述方法实施例所描述的方法。
其中，处理器110可以包括一个或者多个处理核。处理器110利用各种接口和线路连接整个服务器100内的各个部分，通过运行或执行存储在存储器120内的指令、程序、代码集或指令集，以及调用存储在存储器120内的数据，执行服务器100的各种功能和处理数据。可选地，处理器110可以采用数字信号处理(Digital Signal Processing，DSP)、现场可编程门阵列(Field－Programmable Gate Array，FPGA)、可编程逻辑阵列(Programmable Logic Array，PLA)中的至少一种硬件形式来实现。处理器110可集成中央处理器(Central Processing Unit，CPU)、图形处理器(Graphics Processing Unit，GPU)和调制解调器等中的一种或几种的组合。其中，CPU主要处理操作系统、用户界面和应用程序等；GPU用于负责待显示内容的渲染和绘制；调制解调器用于处理无线通信。可以理解的是，上述调制解调器也可以不集成到处理器110中，单独通过一块通信芯片进行实现。
存储器120可以包括随机存储器(Random Access Memory，RAM)，也可以包括只读存储器(Read-Only Memory)。存储器120可用于存储指令、程序、代码、代码集或指令集。存储器120可包括存储程序区和存储数据区，其中，存储程序区可存储用于实现操作系统的指令、用于实现至少一个功能的指令(比如触控功能、声音播放功能、图像播放功能等)、用于实现下述各个方法实施例的指令等。存储数据区还可以存储服务器100在使用中所创建的数据(比如电话本、音视频数据、聊天记录数据)等。
请参阅图16，其示出了本申请实施例提供的一种计算机可读存储介质的结构框图。该计算机可读介质400中存储有程序代码，所述程序代码可被处理器调用执行上述方法实施例中所描述的方法。
计算机可读存储介质400可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。可选地，计算机可读存储介质400包括非易失性计算机可读介质(non-transitory computer-readable storage medium)。计算机可读存储介质400具有执行上述方法中的任何方法步骤的程序代码410的存储空间。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。程序代码410可以例如以适当形式进行压缩。
综上所述，本申请实施例提供的内容推送方法、装置、服务器以及存储介质，基于第一选取条件从目标数据库中选取第一用户，其中，目标数据库中包括实时更新的用户数据，用户数据包括多个用户和多个用户中的每个用户对应的用户特征，当第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，基于第二选取条件从目标数据库中选取第二用户，当第二用户满足指定条件时，将第二用户确定为待推送用户，向待推送用户推送指定推送内容，从而通过第一选取条件从实时更新用户数据的目标数据库中选取第一用户，并在第一用户不满足指定条件时，将第一选取条件更新为第二选取条件，以从目标数据库中选取满足指定条件的第二用户进行内容推送，以提升推送用户的选取效率和推送精准性。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不驱使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (20)

  1. 一种内容推送方法，其特征在于，所述方法包括：
    基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征；
    当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件；
    基于所述第二选取条件从所述目标数据库中选取第二用户；
    当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户；
    向所述待推送用户推送指定推送内容。
  2. 根据权利要求1所述的方法，其特征在于，所述当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件，包括：
    获取所述第一用户对应的用户数量；
    当所述第一用户对应的用户数量不大于指定数量时，将所述第一选取条件更新为所述第二选取条件。
  3. 根据权利要求1或2项所述的方法，其特征在于，所述当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户，包括：
    获取所述第二用户对应的用户数量；
    当所述第二用户对应的用户数量大于指定数量时，将所述第二用户确定为待推送用户。
  4. 根据权利要求3所述的方法，其特征在于，所述当所述第二用户对应的用户数量大于所述指定数量时，将所述第二用户确定为待推送用户，包括：
    当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的平均年龄；
    当所述第二用户对应的平均年龄不大于指定年龄时，将所述第二用户确定为待推送用户。
  5. 根据权利要求3所述的方法，其特征在于，所述当所述第二用户对应的用户数量大于所述指定数量时，将所述第二用户确定为待推送用户，包括：
    当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的职业；
    当所述第二用户对应的职业中的目标职业的占比大于指定占比时，将所述第二用户确定为待推送用户。
  6. 根据权利要求3所述的方法，其特征在于，所述当所述第二用户对应的用户数量大于所述指定数量时，将所述第二用户确定为待推送用户，包括：
    当所述第二用户对应的用户数量大于所述指定数量时，获取所述第二用户对应的平均收入；
    当所述第二用户对应的平均收入大于指定收入时，将所述第二用户确定为待推送用户。
  7. 根据权利要求1-6任一项所述的方法，其特征在于，所述基于第一选取条件从目标数据库中选取第一用户，包括：
    获取所述第一选取条件对应的第一筛选特征；
    从所述目标数据库中选取对应有所述第一筛选特征的用户，作为所述第一用户。
  8. 根据权利要求1-6任一项所述的方法，其特征在于，所述基于所述第二选取条件从所述目标数据库中选取第二用户，包括：
    获取所述第二选取条件对应的第二筛选特征；
    从所述目标数据库中选取对应有所述第二筛选特征的用户，作为所述第二用户。
  9. 根据权利要求1-8任一项所述的方法，其特征在于，所述第一选取条件的满足难度大于所述第二选取条件的满足难度。
  10. 根据权利要求1-9任一项所述的方法，其特征在于，所述基于第一选取条件从目标数据库中选取第一用之后，还包括
    当所述第一用户不满足指定条件时，将所述第一选取条件更新为第三选取条件；
    基于所述第三选取条件从所述第一用户中选取第三用户；
    当所述第三用户满足所述指定条件时，将所述第三用户确定为待推送用户。
  11. 根据权利要求1-10任一项所述的方法，其特征在于，所述方法还包括：
    当所述第二用户满足所述指定条件时，将所述第二选取条件确定为目标选取条件；
    当进行其他待推送内容的推送对象选取时，基于所述目标选取条件从目标数据库中选取目标用户。
  12. 根据权利要求1-11任一项所述的方法，其特征在于，所述向所述待推送用户推送指定推送内容，包括：
    获取所述待推送用户的第一用户特征；
    基于所述待推送用户的第一用户特征，确定向所述待推送用户推送所述指定推送内容的推送时间。
  13. 根据权利要求1-11任一项所述的方法，其特征在于，所述向所述待推送用户推送指定推送内容，包括：
    获取所述待推送用户的第二用户特征；
    基于所述待推送用户的第二用户特征，确定向所述待推送用户推送所述指定推送内容的推送次数。
  14. 根据权利要求1-11任一项所述的方法，其特征在于，所述向所述待推送用户推送指定推送内容，包括：
    获取所述待推送用户的第三用户特征；
    基于所述待推送用户的第三用户特征，确定向所述待推送用户推送的所述指定推送内容的排版方式。
  15. 根据权利要求1-14任一项所述的方法，其特征在于，所述向所述待推送用户推送指定推送内容之后，还包括：
    获取所述指定推送内容的转化率；
    当所述指定推送内容的转化率大于第一指定转化率时，将所述第二选取条件更新为第四选取条件，其中，所述第四选取条件的满足难度小于所述第二选取条件的满足难度。
  16. 根据权利要求15任一项所述的方法，其特征在于，所述向所述待推送用户推送指定推送内容之后，还包括：
    获取所述指定推送内容的转化率；
    当所述指定推送内容的转化率小于第二指定转化率时，将所述第二选取条件更新为第五选取条件，其中，所述第二指定转化率小于所述第一指定转化率，所述第五选取条件的满足难度大于所述第二选取条件的满足难度。
  17. 根据权利要求1-16任一项所述的方法，其特征在于，所述目标数据库包括存储引擎。
  18. 一种内容推送装置，其特征在于，所述装置包括：
    第一用户选取模块，用于基于第一选取条件从目标数据库中选取第一用户，其中，所述目标数据库中包括实时更新的用户数据，所述用户数据包括多个用户和所述多个用户中的每个用户对应的用户特征；
    选取条件更新模块，用于当所述第一用户不满足指定条件时，将所述第一选取条件更新为第二选取条件；
    第二用户选取模块，用于基于所述第二选取条件从所述目标数据库中选取第二用户；
    待推送用户确定模块，用于当所述第二用户满足所述指定条件时，将所述第二用户确定为待推送用户；
    内容推送模块，用于向所述待推送用户推送指定推送内容。
  19. 一种服务器，其特征在于，包括存储器和处理器，所述存储器耦接到所述处理器，所述存储器存储指令，当所述指令由所述处理器执行时所述处理器执行如权利要求1-17任一项所述的方法。
  20. 一种计算机可读取存储介质，其特征在于，所述计算机可读取存储介质中存储有程序代码，所述程序代码可被处理器调用执行如权利要求1-17任一项所述的方法。
PCT/CN2020/077810 2020-03-04 2020-03-04 内容推送方法、装置、服务器以及存储介质 WO2021174447A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202080094715.1A CN115004179A (zh) 2020-03-04 2020-03-04 内容推送方法、装置、服务器以及存储介质
PCT/CN2020/077810 WO2021174447A1 (zh) 2020-03-04 2020-03-04 内容推送方法、装置、服务器以及存储介质

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2020/077810 WO2021174447A1 (zh) 2020-03-04 2020-03-04 内容推送方法、装置、服务器以及存储介质

Publications (1)

Publication Number Publication Date
WO2021174447A1 true WO2021174447A1 (zh) 2021-09-10

Family

ID=77612862

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/077810 WO2021174447A1 (zh) 2020-03-04 2020-03-04 内容推送方法、装置、服务器以及存储介质

Country Status (2)

Country Link
CN (1) CN115004179A (zh)
WO (1) WO2021174447A1 (zh)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150186941A1 (en) * 2013-12-27 2015-07-02 Radius Networks Inc. Portal for Sending Merchant Offers to Users and User Interactions with Merchant Offers
CN105096158A (zh) * 2015-07-01 2015-11-25 北京奇虎科技有限公司 信息推送方法和装置
CN105608125A (zh) * 2015-12-15 2016-05-25 腾讯科技（深圳）有限公司 一种信息处理方法及服务器
CN110765358A (zh) * 2019-10-25 2020-02-07 秒针信息技术有限公司 一种资讯推送方法、装置、电子设备及可读存储介质

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150186941A1 (en) * 2013-12-27 2015-07-02 Radius Networks Inc. Portal for Sending Merchant Offers to Users and User Interactions with Merchant Offers
CN105096158A (zh) * 2015-07-01 2015-11-25 北京奇虎科技有限公司 信息推送方法和装置
CN105608125A (zh) * 2015-12-15 2016-05-25 腾讯科技（深圳）有限公司 一种信息处理方法及服务器
CN110765358A (zh) * 2019-10-25 2020-02-07 秒针信息技术有限公司 一种资讯推送方法、装置、电子设备及可读存储介质

Also Published As

Publication number Publication date
CN115004179A (zh) 2022-09-02

Similar Documents

Publication Publication Date Title
WO2019174595A1 (zh) 资源配置方法、装置、终端及存储介质
WO2021196097A1 (zh) 用户画像列表构建方法、装置、服务器以及存储介质
CN107609092B (zh) 智能应答方法和装置
US10845949B2 (en) Continuity of experience card for index
US20170330363A1 (en) Automatic video segment selection method and apparatus
US20170171336A1 (en) Method and electronic device for information recommendation
JP7119124B2 (ja) 検索動作出力要素のアクションインジケータ
US20140324414A1 (en) Method and apparatus for displaying emoticon
US10091331B1 (en) Prioritized download of social network content
US20190114989A1 (en) Systems and methods for image optimization
WO2020258773A1 (zh) 确定推送用户群的方法、装置、设备及存储介质
EP4340323A1 (en) Message sending method and apparatus, and device and storage medium
WO2021184174A1 (zh) 信息推送方法、装置、电子设备及存储介质
WO2021142719A1 (zh) 画像生成方法、装置、服务器及存储介质
CN109683760B (zh) 最近内容的显示方法、装置、终端及存储介质
WO2022121701A1 (zh) 图像处理方法、装置、电子设备以及存储介质
JP6507263B2 (ja) ユーザ・モバイルネットワークおよびデータプランに基づくコンテンツのフィルタリング
WO2021174447A1 (zh) 内容推送方法、装置、服务器以及存储介质
CN111444448B (zh) 一种数据处理方法、服务器及系统
CN110830653B (zh) 传感器控制方法、装置、移动终端以及存储介质
WO2015096781A1 (zh) 网络产品展示方法、装置、系统、服务器及终端
CN114286999A (zh) 推送内容的处理方法、装置、电子设备以及存储介质
CN110580120A (zh) 桌面排序方法、终端及存储介质
CN114430504B (zh) 一种媒体内容的推荐方法以及相关装置
CN112165634B (zh) 建立音频分类模型的方法、自动转换视频的方法和装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20923316

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20923316

Country of ref document: EP

Kind code of ref document: A1

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 20.02.2023)

122 Ep: pct application non-entry in european phase

Ref document number: 20923316

Country of ref document: EP

Kind code of ref document: A1