WO2021087746A1

WO2021087746A1 - Push content processing method and apparatus, and electronic device and storage medium

Info

Publication number: WO2021087746A1
Application number: PCT/CN2019/115727
Authority: WO
Inventors: 蔡绮芊
Original assignee: 深圳市欢太科技有限公司; Oppo广东移动通信有限公司
Priority date: 2019-11-05
Filing date: 2019-11-05
Publication date: 2021-05-14
Also published as: CN114286999A

Abstract

The present application relates to the technical field of electronic devices. Disclosed are a push content processing method and apparatus, and an electronic device and a storage medium. The method is applied to the electronic device, and comprises: an electronic device receives push content to be displayed to a target user; obtaining a user matching a user portrait of a target user as a reference user according to the user portrait of the target user; obtaining a conversion rate of the reference user for the push content as a reference conversion rate; and determining a processing mode of the push content on the basis of the reference conversion rate. According to the push content processing method and apparatus, and the electronic device and the storage medium provided in embodiments of the present application, when the push content is received, the reference user is obtained according to the user portrait, the reference conversion rate of the reference user for the push content is obtained, and the processing mode of the push content is determined on the basis of the reference conversion rate, so that the conversion rate of the displayed push content and user experience are improved.

Description

Processing method, device, electronic equipment and storage medium for pushing content

Technical field

This application relates to the technical field of electronic equipment, and more specifically, to a method, device, electronic equipment, and storage medium for processing push content.

Background technique

With the development of science and technology, electronic devices are used more and more widely, with more and more functions, and they have become one of the must-haves in people's daily life. Currently, electronic devices can be used to display various contents for users to read or use.

Summary of the invention

In view of the above-mentioned problems, this application proposes a method, device, electronic device, and storage medium for processing push content to solve the above-mentioned problems.

In the first aspect, an embodiment of the present application provides a method for processing push content, which is applied to an electronic device, and the method includes: the electronic device receives push content to be displayed to a target user; and according to the user profile of the target user Obtain a user who matches the user profile of the target user as a reference user; obtain a conversion rate of the reference user for the pushed content as a reference conversion rate; determine a processing method for the pushed content based on the reference conversion rate .

In the second aspect, an embodiment of the present application provides a device for processing push content, which is applied to an electronic device, and the device includes: a push content receiving module for the electronic device to receive push content to be displayed to a target user; reference The user acquisition module is used to obtain the user who matches the user portrait of the target user as the reference user according to the user portrait of the target user; the reference conversion rate acquisition module is used to obtain the reference user’s information regarding the pushed content The conversion rate is used as a reference conversion rate; the processing mode determination module is configured to determine a processing mode for the pushed content based on the reference conversion rate.

In a third aspect, an embodiment of the present application provides an electronic device including a memory and a processor, the memory is coupled to the processor, the memory stores instructions, and the instructions are executed when the instructions are executed by the processor. The processor executes the above method.

In a fourth aspect, 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 foregoing method.

The method, device, electronic device, and storage medium for processing push content provided by the embodiments of the present application. The electronic device receives push content to be displayed to the target user, and obtains the user who matches the target user's user portrait according to the user portrait of the target user as Reference user, obtain the conversion rate of the reference user for the pushed content as the reference conversion rate, and determine the processing method for the push content based on the reference conversion rate, so that when the push content is received, the reference user is obtained according to the user portrait and the reference user is obtained for the push The reference conversion rate of the content, and based on the reference conversion rate, determine the processing method of the pushed content, so as to increase the conversion rate of the displayed push content and improve the user experience.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

FIG. 1 shows a schematic diagram of an application environment that can be used in a method for processing push content provided by an embodiment of the present application;

FIG. 2 shows a schematic flowchart of a method for processing push content provided by an embodiment of the present application;

FIG. 3 shows a schematic flowchart of a method for processing push content provided by another embodiment of the present application;

FIG. 4 shows a schematic flowchart of step S202 of the method for processing push content shown in FIG. 3 of the present application;

FIG. 5 shows a schematic flowchart of step S204 of the method for processing pushed content shown in FIG. 3 of the present application;

FIG. 6 shows a schematic flowchart of an embodiment of step S206 of the method for processing push content shown in FIG. 3 of the present application;

Fig. 7 shows a schematic flowchart of another embodiment of step S206 of the method for processing push content shown in Fig. 3 of the present application;

FIG. 8 shows a schematic flowchart of a method for processing push content provided by still another embodiment of the present application;

FIG. 9 shows a schematic flowchart of step S304 of the method for processing push content shown in FIG. 8 of the present application;

FIG. 10 shows a block diagram of a module for a processing device for pushing content provided by an embodiment of the present application;

FIG. 11 shows a block diagram of an electronic device used to execute the method for processing pushed content according to an embodiment of the present application;

Fig. 12 shows a storage unit for storing or carrying program code for implementing the method for processing push content according to the embodiment of the present application according to an embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application.

Operators generally push content to electronic devices to achieve operational goals. Usually, the operator will obtain the user portrait before the push. Among them, the user portrait, also known as the user role, is an effective tool for delineating the target user, contacting the user's appeal and design direction, and the user portrait has been widely used in various fields. 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. Through the activity portrait and the user portrait For comparison, circle the user portraits containing the portrait characteristics of the activity portraits into the activity crowd, and then generate the activity crowd for the promotion activity, and launch the activity for the activity crowd, so as to achieve the accurate circle of the target user, and then perform unified and batch To increase the click-through rate and resource utilization rate of the pushed content, and minimize the negative impact of useless push information on the user experience.

Since the current target user entrapment is completed by manual operation, after the target user is determined, the batch will be pushed and displayed on all target electronic devices. Therefore, the target user entrapment is overly dependent on the server's screening of users. , And lack of a process of estimating the user's click-through rate before showing, there is the possibility of incomplete screening of user characteristics, unreasonable target customer circle, and showing the user uninterested content to the user, thereby affecting the user experience and reducing the push Conversion effect. For example, the operator wants to push information to user group A, but some users in user group A have a higher probability of liking this push, and some users have a lower probability of liking this push. If they do not pass the second screening, they will Pushing information to users with a low probability of liking this information will lower the conversion rate of the content.

In response to the above problems, the inventor has discovered through long-term research and proposed the method, device, electronic equipment, and storage medium for processing push content provided by the embodiments of this application. When the push content is received, the reference user is obtained according to the user profile and the Obtain the reference conversion rate of the reference user for the pushed content, and determine the processing method for the pushed content based on the reference conversion rate, so as to increase the conversion rate of the displayed pushed content and improve the user experience. Among them, the specific method for processing the pushed content is described in detail in the subsequent embodiments.

The following describes a schematic diagram of an environment that can be used in the method for processing push content provided in the embodiments of the present application.

Please refer to FIG. 1, which shows a schematic diagram of an application environment that can be used in the method for processing push content provided by an embodiment of the present application. It includes an electronic device 100 and an operator server 200, and the electronic device 100 and the operator server 200 are in communication connection to implement data interaction. For example, the operator server 200 can send push content to the electronic device 100. Wherein, the electronic device 100 and the operator server 200 can be connected via a data network or a wireless network. When the electronic device 100 and the operator server 200 are connected via a data network, the electronic device 100 and the operator server 200 can be connected via a 2G network, a 3G network, 4G network, 5G network, etc., when the electronic device 100 and the operator server 200 are connected through a wireless network, the electronic device 100 and the operator server 200 can be connected through a wireless fidelity WiFi network, which is not limited here. Among them, the electronic device 100 may be a smart phone, a tablet computer, a wearable electronic device, etc., and the operator server 200 may be a traditional server, a cloud server, etc., which is not limited herein.

Please refer to FIG. 2, which shows a schematic flowchart of a method for processing push content provided by an embodiment of the present application. The method for processing the pushed content is used to obtain the reference user according to the user portrait and obtain the reference conversion rate of the reference user for the pushed content when the pushed content is received, and determine the processing method for the pushed content based on the reference conversion rate, so as to improve The conversion rate of the displayed push content and the improvement of user experience. In a specific embodiment, the method for processing pushed content is applied to the processing apparatus 300 for pushing content as shown in FIG. 10 and the electronic device 100 configured with the processing apparatus 300 for pushing content (FIG. 11 ). The following will take an electronic device as an example to describe the specific process of this embodiment. Of course, it is understandable that the electronic device applied in this embodiment may be a smart phone, a tablet computer, a wearable electronic device, etc., which is not limited here. The process shown in FIG. 2 will be described in detail below, and the method for processing the pushed content may specifically include the following steps:

Step S101: The electronic device receives the push content to be displayed to the target user.

In this embodiment, the target user may be a user corresponding to the electronic device, that is, the target user is a legal user (owner) corresponding to the electronic device. For example, the electronic device may be logged in with a user identity document (ID), then the user corresponding to the user ID logged in by the electronic device may be determined as the target user. For another example, the electronic device may record a biometric unlocking password. For example, the electronic device may record a fingerprint unlocking password, a face unlocking password, an iris unlocking password, etc., then the user corresponding to the biometric unlocking password recorded by the electronic device can be determined For the target user.

In some embodiments, the electronic device may receive the push content sent by the operator server, and use the received push content as the push content to be displayed to the target user. Among them, the push content may include advertisements, games, articles, audios, videos, links, etc., which are not limited here.

Step S102: Obtain a user who matches the user portrait of the target user as a reference user according to the user portrait of the target user.

In some implementations, the electronic device may pre-acquire the user portrait of the target user and store it locally, and after receiving the push content to be displayed to the target user, read the user portrait of the target user locally, or it may receive the user portrait of the target user locally. After displaying the pushed content to the target user, the user portrait of the target user is obtained from the server, which is not limited here. In this embodiment, the user portrait can be used to characterize the target user’s interest preferences, payment behavior, push conversion rate, etc. For example, the user portrait can be used to characterize the target user’s preferred game type, preferred video type, purchasing power, and The click-through rate of the pushed content, the download rate of the pushed content, etc.

In some embodiments, the server corresponding to the electronic device may obtain and record the user portraits of multiple users and each of the multiple users in advance, and establish the mapping relationship between the multiple users and the multiple user portraits, as shown in Table 1. As shown, the mapping relationship can include multiple users and multiple user portraits, where multiple users can correspond to multiple user portraits, multiple users can correspond to one user portrait, and one user can correspond to multiple user portraits. Wait, it is not limited here.

Table 1

用户user	用户画像User portrait
用户1User 1	用户画像1User Portrait 1
用户2User 2	用户画像2User Portrait 2
用户3User 3	用户画像3User Portrait 3

In this embodiment, after obtaining the user portrait of the target user, the electronic device may obtain a user who matches the user portrait of the target user as a reference user according to the user portrait of the target user. As a way, after acquiring the user portrait of the target user, the electronic device may send the user portrait of the target user to the server to instruct the server to determine the reference user from multiple users based on the user portrait. Specifically, in some embodiments, when the server corresponding to the electronic device receives the user portrait of the target user uploaded by the electronic device, it may compare the user portrait of the target user with multiple user portraits in the pre-established mapping relationship. To obtain the user portrait matching the user portrait of the target user, and then obtain the user corresponding to the user portrait matching the user portrait of the target user based on the mapping relationship. When determining the user corresponding to the user portrait matching the user portrait of the target user, you can Determine the user as the reference user.

Taking the user portrait as the interest preference as an example, the electronic device can send the interest preference of the target user to the server to instruct the server to find the interest preference matching the interest preference of the target user from the multiple interest preferences, and search for the target based on the mapping relationship. The user whose interest preference matches the user's interest preference is determined as the reference user.

As another way, after obtaining the user portrait of the target user, the electronic device can send the user portrait of the target user and the pushed content to the server to instruct the server to determine the reference from multiple users based on the user portrait and the pushed content Users, where the determined reference users are users who have received the pushed content, so as to improve the reliability of the determined reference users. Specifically, in some embodiments, when the server corresponding to the electronic device receives the user portrait and the pushed content of the target user uploaded by the electronic device, it may first filter multiple users based on the pushed content to filter from multiple users. Users who have received the pushed content are selected from the multiple users and the users who have received the pushed content are determined as the to-be-referenced users, and then the user portrait of the target user can be mapped to multiple to-be-referenced users in the pre-established mapping relationship. Compare the user portrait of the reference user to obtain the user portrait matching the user portrait of the target user, and then obtain the user to be referenced corresponding to the user portrait matching the user portrait of the target user based on the mapping relationship, and determine the user portrait of the target user When the matched user portrait corresponds to the user to be referenced, the user to be referenced may be determined as the reference user.

Step S103: Obtain the conversion rate of the reference user for the pushed content as a reference conversion rate.

In some embodiments, the number of determined reference users is one or more. Wherein, when the number of determined reference users is one, the conversion rate of the one reference user for the pushed content can be obtained, and the conversion rate of the one reference user for the pushed content can be used as the reference conversion rate. When the number of determined reference users is multiple, the conversion rate of the multiple reference users for the pushed content can be obtained separately, and the average conversion of the multiple reference users for the pushed content can be calculated based on the conversion rate of each reference user for the pushed content Rate, and use the average conversion rate as the reference conversion rate.

In some embodiments, the server may count and record the number of times the push content is sent to the reference user and the number of times the reference user converts the push content, where the push content of the reference user conversion includes from browsing to pushing content to clicking jump, from browsing to pushing From content to click to download, from browsing to pushing content to click to buy, etc., there is no limitation here. As a way, after determining the reference user, the server can send the recorded number of times the push content is sent to the reference user and the number of times the reference user converts the push content to the electronic device, and the electronic device calculates the conversion rate of the reference user for the pushed content as Reference conversion rate. As another way, after determining the reference user, the server can calculate the conversion rate of the reference user for the pushed content and send it to the electronic device based on the recorded number of times the push content is sent to the reference user and the number of times the reference user converts the push content. The device receives the conversion rate of the reference user for the pushed content sent by the server as the reference conversion rate.

Step S104: Determine a processing method for the pushed content based on the reference conversion rate.

In some embodiments, after obtaining the reference conversion rate of the reference user for the pushed content, the electronic device may determine the processing method for the pushed content according to the reference conversion rate. It is understandable that because the user portraits of the reference user and the target user match, the method of processing the pushed content is determined based on the reference conversion rate of the reference user for the pushed content, which can make the processing method more in line with the preferences of the target user and improve the push The conversion rate of the content and the target user’s experience.

In some embodiments, a mapping relationship between the reference conversion rate and the processing method may be established in advance, and the mapping relationship may include multiple reference conversion rates and multiple processing methods, wherein the multiple reference conversion rates and the multiple processing methods can correspond one-to-one , Multiple reference conversion rates can correspond to one treatment method, one reference conversion rate can correspond to multiple treatment methods, etc. In this embodiment, the reference conversion rate of the reference user for the pushed content can be obtained, and then the reference conversion rate of the reference user for the pushed content is compared with the conversion rate in the pre-established mapping relationship to obtain and the reference user for the pushed content According to the conversion rate matching the reference conversion rate of the reference conversion rate, the processing method corresponding to the conversion rate matching the reference conversion rate of the reference user for the pushed content is acquired based on the mapping relationship, and the acquired processing method is determined as the processing method of the pushed content by the electronic device.

In this embodiment, the processing method may include displaying the pushed content to the target user, shielding the pushed content, controlling the display duration of the pushed content, controlling the display times of the pushed content, and controlling the display time of the pushed content, etc., which are not limited here.

In the method for processing push content provided by an embodiment of the present application, the electronic device receives the push content to be displayed to the target user, and obtains the user who matches the target user's user portrait as the reference user according to the user portrait of the target user, and obtains the reference user target The conversion rate of the pushed content is used as the reference conversion rate, and the processing method of the pushed content is determined based on the reference conversion rate, so that when the pushed content is received, the reference user is obtained according to the user portrait and the reference conversion rate of the reference user for the pushed content is obtained, and Determine the processing method of the pushed content based on the reference conversion rate, so as to increase the conversion rate of the displayed push content and improve the user experience.

Please refer to Fig. 3, which shows a schematic flowchart of a method for processing push content provided by another embodiment of the present application. This method is applied to the above-mentioned electronic equipment. The following will describe the process shown in FIG. 3 in detail. The method for processing the pushed content may specifically include the following steps:

Step S201: The electronic device receives the push content to be displayed to the target user.

Step S202: Obtain a user who matches the user portrait of the target user as a reference user according to the user portrait of the target user.

For the specific description of step S201 to step S202, please refer to step S101 to step S102, which will not be repeated here.

Please refer to FIG. 4, which shows a schematic flowchart of step S202 of the method for processing push content shown in FIG. 3 of the present application. The process shown in Figure 4 will be described in detail below. In this embodiment, the user profile includes basic attributes, interest preferences, payment behavior, and push conversion rate. The method may specifically include the following steps:

Step S2021: According to the basic attribute of the target user, search for a user matching the basic attribute of the target user as the reference user.

In this embodiment, the user portrait of the target user may include the basic attributes of the target user. In some embodiments, the basic attributes of the target user may be acquired, where the basic attributes of the target user may include at least one of the age and gender of the target user. It is understandable that the basic attributes of the target user can be used to characterize the target user's acceptance of the content pushed by the electronic device. For example, users of different ages have different acceptance of the content pushed by the electronic device, and users of different genders have different acceptance of the content pushed by the electronic device. The level of acceptance of the pushed content varies. Specifically, the older the age, the lower the acceptance of the pushed content, etc., which will not be repeated here.

In some embodiments, the basic attributes of the target user can be obtained from the information entered by the target user, for example, obtained from the ID information entered by the target user, obtained from the face information entered by the target user, etc., which are not limited here. .

In some embodiments, after acquiring the basic attributes of the target user, the electronic device may search for users matching the basic attributes of the target user as the reference user based on the basic attributes of the target user. For example, if the basic attribute of the target user is the age of the target user, users that match the age of the target user can be found as the reference user; if the basic attribute of the target user is the gender of the target user, it can be found to match the gender of the target user As reference users.

Step S2022: According to the interest preference of the target user, search for a user matching the interest preference of the target user as the reference user.

In this embodiment, the user portrait of the target user may include the interest preference of the target user. In some embodiments, the interest preference of the target user can be obtained, where the interest preference of the target user can be used to characterize the content or type that the target user likes. For example, if the interest preference of the target user is games, the interest of the target user is Preferences can be used to characterize the target user's preference for games. If the target user's interest preference is movies, the target user's interest preference can be used to characterize the target user's preference for movies, etc., which is not limited here.

In some embodiments, the interest preferences of the target user can be obtained from the information entered by the target user, for example, from the ID information entered by the target user, or can be obtained by analyzing the behavior and habits of the target user, for example, by analyzing the behavior of the target user. Obtained by analyzing the content browsed or downloaded by the target user.

In some embodiments, after acquiring the interest preference of the target user, the electronic device may search for a user matching the interest preference of the target user as a reference user based on the interest preference of the target user. For example, if the interest preference of the target user is games, users who also like games can be searched as reference users; if the interest preference of the target user is movies, users who also like movies can be searched as reference users.

Step S2023: According to the payment behavior of the target user, search for a user matching the payment behavior of the target user as the reference user.

In this embodiment, the user portrait of the target user may include the payment behavior of the target user. In some embodiments, the payment behavior of the target user can be obtained. The payment behavior of the target user can be used to characterize the payment ability or payment intention of the target user for paid content. For example, if the payment behavior of the target user is frequent, the target user Of paid content has a higher ability to pay or has a higher intention to pay.

In some embodiments, the payment behavior of the target user can be obtained from the information entered by the target user, for example, from the ID information entered by the target user, or it can be obtained by analyzing the behavior and habits of the target user, for example, by analyzing the behavior of the target user. The content, frequency, and amount paid by the target user are analyzed and obtained.

In some embodiments, after acquiring the payment behavior of the target user, the electronic device may find a user who matches the payment behavior of the target user as a reference user based on the payment behavior of the target user. For example, if the target user has frequent payment behaviors, users with the same frequent payment behaviors can be found as reference users.

Step S2024: According to the push conversion rate of the target user, search for a user matching the push conversion rate of the target user as the reference user.

In this embodiment, the user portrait of the target user may include the push conversion rate of the target user. In some embodiments, the push conversion rate of the target user can be obtained, where the push conversion rate of the target user can be used to characterize the conversion of the target user to the previously pushed content. For example, if the push conversion rate of the target user is higher, The target user's conversion to the pushed content is better, for example, the user's click-through rate and download rate for the pushed content are higher.

In some embodiments, the push conversion rate of the target user can be obtained from the information entered by the target user, for example, from the ID information entered by the target user, or can be obtained by analyzing the behavior and habits of the target user, for example, by Analyze and obtain the target user's behaviors such as clicking, downloading, and jumping on the pushed content.

In some embodiments, after obtaining the push conversion rate of the target user, the electronic device may find a user who matches the push conversion rate of the target user as a reference user based on the push conversion rate of the target user. For example, if the target user's push conversion rate is higher, users with the same high push conversion rate can be found as reference users.

In this embodiment, the user portrait of the target user may also include other more information. For example, the user portrait of the target user may also include the degree of activity of the target user with respect to the application, which will not be repeated here.

Step S203: Obtain the type to which the pushed content belongs.

In some embodiments, the electronic device can obtain the type of the pushed content. Taking the push content as a push application as an example, the electronic device can obtain the type of the push application. Specifically, the electronic device can establish a mapping relationship between the push application and the type in advance, and generate a mapping relationship table and store it in the electronic device. As shown in table 2. Among them, the mapping relationship between the push application and the type can be manually associated by the user, can be automatically associated by the electronic device or automatically associated by the server, etc., which is not limited here, and the mapping relationship between the push application and the type can include a push The application corresponds to one type, or multiple push applications correspond to one type, etc., which are not limited here.

Further, after receiving the push application, the push application can be compared with the multiple applications pre-stored in the mapping relationship table one by one to obtain an application matching the received push application, and then according to all The mapping relationship table is described, and the type corresponding to the application is searched, so that the type of the received push application can be obtained. For example, when the mapping relationship table includes the mapping relationship between WeChat and instant messaging, that is to say, WeChat is stored under the application in the mapping table, and the instant messaging category is stored under the type, and the WeChat and instant messaging are related Then, when the received push application is WeChat, the received push application can be matched with the application stored in the mapping table. Understandably, the received push application can be matched with the mapping table. Matches the WeChat, and then finds that the type of the received push application is an instant messaging type.

Table 2

应用程序application	类型Types of
A1A1	B1B1
A2A2	B2B2
A3A3	B3B3

As a way, when the received push application is compared with multiple pre-stored applications in the mapping relationship table and the matching fails, that is, when the application program in the mapping relationship table does not store the corresponding When the received push application matches the application, you can search for applications that are similar to the received push application, and use the type of application similar to the received push application as the received push application type. Get the type of the received push application. Among them, in this embodiment, the package name of the received push application can be obtained. Since the package name includes various information related to the received push application, the package name can be analyzed to obtain the package name. The manufacturer of the received push application included in the, and then search for other applications produced by the manufacturer, look up the types of other applications in the mapping relationship table, and use the types of the other applications as the received push application Types of.

Step S204: Obtain the conversion rate of the reference user for the type as the reference conversion rate.

In some embodiments, after determining the type of the pushed content, the conversion rate of the reference user for the type can be obtained, and the conversion rate of the reference user for the type is used as the reference conversion rate. For example, when the type of the pushed content is a game, the conversion rate of the reference user for the game can be obtained; when the type of the pushed content is a movie, the conversion rate of the reference user for the movie can be obtained, which is not limited here.

Please refer to FIG. 5, which shows a schematic flowchart of step S204 of the method for processing push content shown in FIG. 3 of the present application. The process shown in FIG. 5 will be described in detail below, and the method may specifically include the following steps:

Step S2041: Determine whether the type is a designated violation type.

In some embodiments, the electronic settings may preset and store a designated violation type, and the designated violation type is used as a basis for judging the type of the pushed content. Among them, the designated violation type can be a comprehensive and multi-dimensional violation type constructed based on regional laws and regulations, national laws and regulations, operating rules, user rules, etc., and the constructed violation type is stored in an electronic device as the designated violation type. For example, the designated violation type can be created in accordance with regional laws and regulations, national laws and regulations, such as the type of illegal images, the types of illegal text, the types of illegal audio, the types of illegal videos, the types of illegal applications, etc., and it can be set according to operating rules. Types of illegal links, types of illegal applications, etc. can also be created based on the types of illegal images, types of illegal text, types of illegal audio, types of illegal videos, and types of illegal applications set by user rules, which are not limited here. .

In this embodiment, after the type of the pushed content is obtained, the type of the pushed content can be compared with the designated violation type to determine whether the type of the pushed content is the designated violation type. Among them, in some embodiments, the number of designated violation types may be multiple, and the type of the pushed content can be compared with the multiple designated violation types. When the type of the pushed content and any of the multiple designated violation types When the designated violation types are consistent, the type of the pushed content can be determined to be the designated violation type. When the type of the pushed content and multiple designated violation types are inconsistent, it can be determined that the type of the pushed content is not the designated violation type.

Step S2042: When the type is not a designated violation type, obtain the conversion rate of the reference user for the type as the reference conversion rate.

In some embodiments, when the judgment result indicates that the type of the pushed content is not a specified violation type, it indicates that the pushed content is allowed to be displayed to the target user. Therefore, the conversion rate of the reference user for this type can be obtained as the reference conversion rate for subsequent follow-up Step display judgment.

Step S2043: When the type is a designated violation type, shield the pushed content.

In some embodiments, when the judgment result indicates that the type of the pushed content is a specified violation type, it indicates that the pushed content is not allowed to be displayed to the target user, and the pushed content may be blocked, that is, the pushed content may not be displayed.

Step S205: Determine whether the reference conversion rate is greater than the first conversion rate.

In some embodiments, the electronic settings may be preset and stored with a first conversion rate, which is used as a basis for determining whether the conversion rate is higher or lower. When the conversion rate is greater than the first conversion rate, It can be considered that the conversion rate is high, and when the conversion rate is not greater than the first conversion rate, it can be considered that the conversion rate is low. For example, the first conversion rate is 40%. When the conversion rate is greater than 40%, the conversion rate can be considered to be high, and when the conversion rate is not greater than 40%, the conversion rate can be considered to be low.

In this embodiment, after the reference conversion rate is obtained, the reference conversion rate can be compared with the first conversion rate to determine whether the reference conversion rate is greater than the first conversion rate, where, when the reference conversion rate is greater than the first conversion rate , It can be determined that the reference conversion rate is high, that is, the conversion effect of the reference user for the pushed content is better, when the reference conversion rate is not greater than the first conversion rate, it can be determined that the reference conversion rate is low, that is, the conversion effect of the reference user for the pushed content Poor.

Step S206: When the reference conversion rate is greater than the first conversion rate, display the pushed content to the target user.

In some embodiments, when the judgment result indicates that the reference conversion rate is greater than the first conversion rate, that is, when the conversion effect of the reference user for the pushed content is better, it can be considered that the target user's conversion effect for the pushed content will also be better. Therefore, the content can be pushed to the target user.

Please refer to FIG. 6, which shows a schematic flowchart of an embodiment of step S206 of the method for processing push content shown in FIG. 3 of the present application. The process shown in FIG. 6 will be described in detail below, and the method may specifically include the following steps:

Step S2061A: When the reference conversion rate is greater than the first conversion rate, determine whether the reference conversion rate is greater than a second conversion rate, where the second conversion rate is greater than the first conversion rate.

In some embodiments, the electronic device may also preset and store a second conversion rate, and the second conversion rate is used as a judgment basis for a high or high conversion rate. Wherein, when the conversion rate is greater than the first conversion rate and not greater than the second conversion rate, it can be considered that the conversion rate is high, and when the conversion rate is greater than the second conversion rate, it can be considered that the conversion rate is high. For example, the first conversion rate is 40%, and the second conversion rate is 80%. When the conversion rate is greater than 40% and not greater than 80%, the conversion rate can be considered as high. When the conversion rate is greater than 80%, the conversion rate can be considered as high. The conversion rate is high.

In this embodiment, when it is determined that the reference conversion rate is greater than the first conversion rate, the reference conversion rate can be compared with the second conversion rate to determine whether the reference conversion rate is greater than the second conversion rate, where, when the reference conversion rate is greater than When the second conversion rate is used, it can be determined that the reference conversion rate is very high, that is, the conversion effect of the reference user for the pushed content is very good. When the reference conversion rate is not greater than the second conversion rate, it can be determined that the reference conversion rate is good, that is, the reference user targets The conversion effect of pushed content is better.

Step S2062A: When the reference conversion rate is greater than the second conversion rate, display the pushed content to the target user.

In some embodiments, when the judgment result indicates that the reference conversion rate is greater than the second conversion rate, that is, when the conversion effect of the reference user for the pushed content is good, it can be considered that the target user's conversion effect for the pushed content will also be good. Therefore, the content can be pushed to the target user.

Step S2063A: When the reference conversion rate is not greater than the second conversion rate, obtain the number of times the pushed content has been displayed to the target user.

In some embodiments, when the judgment result indicates that the reference conversion rate is not greater than the second conversion rate, that is, it indicates that the reference user has a better conversion effect for the pushed content, it can be considered that the target user has a higher conversion rate for the pushed content. , But there is also a chance that the push content will not be converted. Therefore, in this embodiment, in order to reduce the user's troubles caused by frequent push of push content that is not suitable for the target user, the number of times the push content is pushed can be controlled, and specifically, the number of times the push content has been displayed to the target user can be obtained. As a way, when the reference conversion rate is not greater than the second conversion rate, the number of times the push content has been displayed to the target user within a preset time period can be obtained, where the preset time period It can be set manually by the user or automatically set by the electronic device, which is not limited here.

In some embodiments, the electronic device may preset and store a threshold of times, and the threshold of times is used as a basis for judging the times that the pushed content has been displayed to the target user. Therefore, in this embodiment, after obtaining the number of times the pushed content has been shown to the target user, the number of times the pushed content has been shown to the target user can be compared with the threshold of times to determine that the pushed content has been shown to the target user. Whether the number of times reaches the number threshold.

Step S2064A: When the number of times reaches the number threshold, shield the pushed content.

Wherein, when the judgment result indicates that the number of times that the pushed content has been displayed to the target user reaches the threshold of times, it can be considered that the number of pushes is too much. Therefore, in order to reduce the trouble caused to the user, the pushed content can be blocked.

Step S2065A: When the number of times does not reach the number threshold, display the pushed content to the target user.

Wherein, when the judgment result indicates that the number of times that the pushed content has been displayed to the target user has not reached the number threshold, the number of pushes can be considered appropriate. Therefore, in order to increase the conversion rate of the pushed content, the pushed content can be displayed to the target user.

Please refer to FIG. 7, which shows a schematic flowchart of another embodiment of step S206 of the method for processing push content shown in FIG. 3 of the present application. The process shown in FIG. 7 will be described in detail below. The user portrait includes a content display preference portrait, and the method may specifically include the following steps:

Step S2061B: When the reference conversion rate is greater than the first conversion rate, determine the content display mode corresponding to the content display preference portrait of the target user based on the content display preference portrait of the target user.

In this embodiment, the user portrait of the target user can also be used to characterize the target user's display preference for the content displayed by the electronic device. For example, the user portrait can be used to characterize the target 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, 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.

In some embodiments, when the electronic device determines that the reference conversion rate is greater than the first conversion rate, it may determine the content display mode corresponding to the content display preference portrait of the target user according to the content display preference portrait of the target user. It is understandable that the content display mode determined according to the content display preference portrait of the target user corresponds to the display preference of the target user for the content displayed by the electronic device. For example, if the content display preference portrait represents that the target user’s preference for the display position of the content displayed by the electronic device is the upper left of the electronic device, then the display position corresponding to the content display mode determined according to the content display preference portrait of the target user is The upper left of the electronic device. For another example, if the content display preference portrait represents that the target user's preference for the display color of the content displayed by the electronic device is red, then the display color corresponding to the content display mode determined according to the content display preference portrait of the target user is red.

In some embodiments, the mapping relationship between content display preference portraits and content display modes may be established in advance. As shown in Table 3, the mapping relationship may include multiple content display preference portraits and multiple content display modes, where multiple content presentations Preference portraits can correspond to multiple content display modes, multiple content display preference portraits can correspond to one content display mode, one content display preference portrait can correspond to multiple content display modes, and so on. In this embodiment, the content display preference portrait of the target user can be obtained, and the content display preference portrait of the target user can be compared with multiple content display preference portraits in the pre-established mapping relationship to obtain the content display of the target user. The content display preference portrait matched by the preference profile is obtained, and the content display method corresponding to the content display preference profile matching the content display preference profile of the target user is obtained based on the mapping relationship, and the obtained content display method is determined as the content display preference profile of the target user The corresponding content display method.

table 3

内容展示偏好画像Content display preference portrait	内容展示方式Content display method
内容展示偏好画像1Content display preference portrait 1	内容展示方式1Content display method 1
内容展示偏好画像2Content display preference portrait 2	内容展示方式2Content display mode 2
内容展示偏好画像3Content display preference portrait 3	内容展示方式3Content display mode 3

Step S2062B: Display the pushed content to the target user based on the content display mode.

In some embodiments, after determining the content display mode corresponding to the content display preference portrait of the target user, the push content to be displayed to the target user may be displayed to the target user based on the determined content display mode, thereby enabling the display of the push content The method is more in line with user preferences and can improve the conversion rate and user experience of the pushed content.

As a way, after determining the content display mode corresponding to the user portrait of the target user, the push content may be adjusted based on the content display mode, so that the adjusted display mode of the push content is consistent with the content display mode. For example, if the font size of the pushed content is font size 4, and the determined font size of the content display method is font size 5, then the font size of the pushed content can be adjusted from font size 4 to font size 5 to make the adjustment The font size of the pushed content is the same as the font size of the content display method.

Step S207: When the reference conversion rate is not greater than the first conversion rate, shield the pushed content.

In some embodiments, when the judgment result indicates that the reference conversion rate is not greater than the first conversion rate, that is, when the conversion effect of the reference user for the pushed content is poor, it can be considered that the target user's conversion effect for the pushed content will also be poor. Therefore, it is not necessary to target the push content to the target user, that is, the push content can be blocked.

Compared with the method for processing pushed content shown in FIG. 2, the method for processing pushed content provided by another embodiment of the present application obtains the type of the pushed content, and obtains a reference for the type of the pushed content. The conversion rate is used as the reference conversion rate, thereby increasing the success rate of obtaining the reference conversion rate. In addition, this embodiment also displays the push content to the target user when the reference conversion rate is greater than the first conversion rate, and blocks the push content when the reference conversion rate is not greater than the first conversion rate, so as to increase the conversion rate of the displayed push content. user experience.

Please refer to FIG. 8. FIG. 8 shows a schematic flowchart of a method for processing push content according to another embodiment of the present application. This method is applied to the above-mentioned electronic equipment. The following will elaborate on the process shown in FIG. 8. The method for processing the pushed content may specifically include the following steps:

Step S301: The electronic device receives the push content to be displayed to the target user.

Step S302: Obtain a user who matches the user portrait of the target user as a reference user according to the user portrait of the target user.

Step S303: Obtain the conversion rate of the reference user for the pushed content as a reference conversion rate.

For the specific description of step S301 to step S303, please refer to step S101 to step S103, which will not be repeated here.

Step S304: Input the user portrait of the target user into a trained regression model, where the trained regression model is performed by regressing the user portrait of the reference user and the conversion rate of the reference user for the pushed content Fitting is obtained.

In some embodiments, after acquiring the user portrait of the target user, the electronic device may input the user portrait into a trained regression model, where the trained regression model is based on the user portrait of the reference user and the reference user’s push The conversion rate of the content is obtained by regression fitting. Specifically, the training data set is first collected, where the attributes or characteristics of one type of data in the training data set are distinguished from another type of data, and then the collected training data set is subjected to regression analysis , So as to summarize the rules based on the training data set, and get the trained regression model. In this embodiment, one type of data in the training data set is the user portrait of the reference user as an independent variable, and the other type of data is the conversion rate of the reference user for the pushed content, as a dependent variable, to the user portrait and reference of the reference user The user performs regression analysis on the conversion rate of the pushed content, and the correlation between the user portrait of the reference user and the conversion rate of the reference user for the pushed content can be obtained, and then the trained regression model can be obtained. Among them, regression analysis is a method of statistically analyzing data, the purpose is to understand whether the variables are related, the direction and intensity of the correlation, and to establish a mathematical model to observe specific variables to predict the variables of interest to the researcher.

Please refer to FIG. 9, which shows a schematic flowchart of step S304 of the method for processing push content shown in FIG. 8 of the present application. The process shown in FIG. 9 will be described in detail below, and the method may specifically include the following steps:

Step S3041: Perform principal component analysis on the user portrait of the target user, and obtain a key user portrait from the user portrait of the target user.

In some embodiments, the number of user portraits of the target user is multiple, and the multiple user portraits may include attribute information related to the conversion of the target user to the pushed content, such as age information, gender information, interest preferences, and payment behavior. It may also include attribute information that is not related to the target user’s conversion of the pushed content, such as height information, weight information, and vision information. Therefore, in this embodiment, principal component analysis can be performed on the user portrait to simplify the user portrait, and the key user portrait can be obtained from the user portrait, where the key user portrait is attribute information related to the conversion of the target user to the pushed content. Among them, principal component analysis is a method of statistical analysis and simplification of data sets. It uses orthogonal transformation to linearly transform the observations of a series of possible related variables, thereby projecting the values of a series of linear unrelated variables. Unrelated variables are called principal components.

Step S3042: Input the key user portrait into the trained regression model.

Further, after obtaining the key user portrait from the user portrait, the key user portrait can be input into the trained regression model to make the input user portrait more accurate, so that the obtained probability is more accurate.

Step S305: Obtain the probability of the target user converting the pushed content output by the trained regression model.

In some embodiments, after the trained regression model receives the input of the user portrait of the target user, it can process the user portrait of the target user and output the probability that the target user converts the pushed content. Accordingly, the electronic device can obtain the user portrait of the target user. The probability that the target user converts the pushed content output by the trained regression model.

Step S306: Determine a processing method for the pushed content based on the probability.

In this embodiment, after obtaining the probability that the target user converts the pushed content, the processing method for the pushed content can be determined based on the probability. For example, when the probability is high, it is determined to show the push content to the target user, and when the probability is low, the push content is blocked.

Compared with the method for processing pushed content shown in FIG. 2, the method for processing pushed content provided in another embodiment of the present application also inputs the user portrait of the target user into the trained regression model, and obtains the trained regression model. Based on the probability that the target user converts the pushed content output by the regression model, the processing method of the pushed content is determined based on the probability, thereby improving the accuracy and efficiency of the pushed content processing.

Please refer to FIG. 10, which shows a block diagram of a device 300 for processing push content provided by an embodiment of the present application. The device 300 for processing push content is applied to the above-mentioned electronic equipment. The following will describe the block diagram shown in FIG. 10. The device 300 for processing push content includes: a push content receiving module 310, a reference user acquisition module 320, and a reference conversion rate. The obtaining module 330 and the processing method determining module 340, wherein:

The push content receiving module 310 is used for the electronic device to receive push content to be displayed to the target user.

The reference user obtaining module 320 is configured to obtain a user who matches the user portrait of the target user as a reference user according to the user portrait of the target user.

Further, the user portrait includes basic attributes, interest preferences, payment behavior, and push conversion rate. The reference user acquisition module 320 includes: a first reference user acquisition submodule, a second reference user acquisition submodule, and a third reference user The acquisition sub-module and the fourth reference user acquisition sub-module, where:

The first reference user acquisition sub-module is configured to find a user who matches the basic attribute of the target user as the reference user according to the basic attribute of the target user.

The second reference user acquisition sub-module is configured to find a user who matches the interest preference of the target user as the reference user according to the interest preference of the target user.

The third reference user acquisition sub-module is configured to find a user who matches the payment behavior of the target user as the reference user according to the payment behavior of the target user.

The fourth reference user acquisition sub-module is configured to find a user who matches the push conversion rate of the target user as the reference user according to the push conversion rate of the target user.

The reference conversion rate obtaining module 330 is configured to obtain the conversion rate of the reference user for the pushed content as a reference conversion rate.

Further, the reference conversion rate obtaining module 330 includes: a type obtaining sub-module and a reference conversion rate obtaining sub-module, wherein:

The type acquisition sub-module is used to acquire the type to which the pushed content belongs.

The reference conversion rate obtaining sub-module is configured to obtain the conversion rate of the reference user for the type as the reference conversion rate.

Further, the reference conversion rate obtaining sub-module includes: a type judging unit, a reference conversion rate obtaining unit, and a fourth pushing content blocking unit, wherein:

The type judgment unit is used to judge whether the type is a designated violation type.

The reference conversion rate obtaining unit is configured to obtain the conversion rate of the reference user for the type as the reference conversion rate when the type is not a designated violation type.

The fourth pushed content shielding unit is configured to shield the pushed content when the type is a designated violation type.

The processing method determining module 340 is configured to determine a processing method for the pushed content based on the reference conversion rate.

Further, the processing method determining module 340 includes: a reference conversion rate judgment sub-module, a pushed content display sub-module, and a pushed content blocking sub-module, wherein:

The reference conversion rate judgment sub-module is used to judge whether the reference conversion rate is greater than the first conversion rate.

The push content display submodule is configured to display the push content to the target user when the reference conversion rate is greater than the first conversion rate.

Further, the pushed content display submodule includes: a reference conversion rate judgment unit, a first pushed content display unit, a frequency acquisition unit, a pushed content shielding unit, and a second pushed content display unit, wherein:

A reference conversion rate judging unit, configured to determine whether the reference conversion rate is greater than a second conversion rate when the reference conversion rate is greater than the first conversion rate, wherein the second conversion rate is greater than the first conversion rate rate.

The first pushed content display unit is configured to display the pushed content to the target user when the reference conversion rate is greater than the second conversion rate.

The number acquisition unit is configured to acquire the number of times the push content has been displayed to the target user when the reference conversion rate is not greater than the second conversion rate.

Further, the frequency obtaining unit includes: a frequency obtaining subunit, wherein:

The number acquisition subunit is configured to acquire the number of times the push content has been displayed to the target user within a preset time period when the reference conversion rate is not greater than the second conversion rate.

The pushed content shielding unit is configured to shield the pushed content when the number of times reaches the number threshold.

The second pushed content display unit is configured to display the pushed content to the target user when the number of times does not reach the number threshold.

Further, the user portrait includes a content display preference portrait, and the push content display sub-module includes: a content display mode determination unit and a third push content display unit, wherein:

The content display mode determining unit is configured to determine a content display mode corresponding to the content display preference portrait of the target user based on the content display preference portrait of the target user when the reference conversion rate is greater than the first conversion rate .

The third pushed content display unit is configured to display the pushed content to the target user based on the content display mode.

The push content shielding submodule is configured to shield the push content when the reference conversion rate is not greater than the first conversion rate.

Further, the processing mode determination module 340 includes: a user portrait input sub-module, a probability acquisition sub-module, and a processing mode determination sub-module, wherein:

The user portrait input sub-module is used to input the user portrait of the target user into a trained regression model. The trained regression model is based on the user portrait of the reference user and the reference user’s response to the push content The conversion rate is obtained by regression fitting.

Further, the user portrait input sub-module includes: a user portrait analysis unit and a user portrait input unit, wherein:

The user portrait analysis unit is used to perform principal component analysis on the user portrait of the target user, and obtain a key user portrait from the user portrait of the target user.

The user portrait input unit is used to input the key user portrait into the trained regression model.

The probability acquisition sub-module is used to acquire the probability that the target user output by the trained regression model converts the pushed content.

The processing mode determination sub-module is configured to determine the processing mode for the pushed content based on the probability.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the device and module described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, the coupling between the modules may be electrical, mechanical or other forms of coupling.

In addition, each functional module in each embodiment 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 function modules.

Please refer to FIG. 11, which shows a structural block diagram of an electronic device 100 provided by an embodiment of the present application. The electronic device 100 may be an electronic device capable of running application programs, such as a smart phone, a tablet computer, or an e-book. The electronic device 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. One or more application programs may be stored in the memory 120 and configured to be 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 electronic device 100, and executes by running or executing instructions, programs, code sets, or instruction sets stored in the memory 120, and calling data stored in the memory 120. Various functions and processing data of the electronic device 100. Optionally, the processor 110 may adopt at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). A kind of hardware form to realize. The processor 110 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), a modem, and the like. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is used to render and draw the content to be displayed; the modem is used to process 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 data storage area can also store data (such as phone book, audio and video data, chat record data) created by the terminal 100 during use.

Please refer to FIG. 12, which 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. Optionally, 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 executing the program code 410 of any method step in the above-mentioned method. 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.

In summary, the method, device, electronic device, and storage medium for processing push content provided in the embodiments of the present application. The electronic device receives the push content to be displayed to the target user, and obtains the user who is related to the target user according to the user portrait of the target user. The user who matches the profile is used as the reference user, the conversion rate of the reference user for the pushed content is obtained as the reference conversion rate, and the processing method for the pushed content is determined based on the reference conversion rate, so that when the push content is received, the reference user and Obtain the reference conversion rate of the reference user for the pushed content, and determine the processing method for the pushed content based on the reference conversion rate, so as to increase the conversion rate of the displayed pushed content and improve the user experience.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the application, not to limit them; although the application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions recorded in the foregoing embodiments are modified, or some of the technical features thereof are equivalently replaced; these modifications or replacements do not drive the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

A method for processing push content, which is characterized in that it is applied to an electronic device, and the method includes:

The electronic device receives the push content to be displayed to the target user;

Obtaining a user who matches the user portrait of the target user as a reference user according to the user portrait of the target user;

Acquiring the conversion rate of the reference user for the pushed content as a reference conversion rate;

A method for processing the pushed content is determined based on the reference conversion rate.
The method according to claim 1, wherein the determining a processing method for the pushed content based on the reference conversion rate comprises:

Determine whether the reference conversion rate is greater than the first conversion rate;

When the reference conversion rate is greater than the first conversion rate, the push content is displayed to the target user.
The method according to claim 2, wherein the displaying the pushed content to the target user when the reference conversion rate is greater than the first conversion rate comprises:

When the reference conversion rate is greater than the first conversion rate, judging whether the reference conversion rate is greater than a second conversion rate, wherein the second conversion rate is greater than the first conversion rate;

When the reference conversion rate is greater than the second conversion rate, the push content is displayed to the target user.
The method according to claim 3, wherein the method further comprises:

When the reference conversion rate is not greater than the second conversion rate, acquiring the number of times the push content has been displayed to the target user;

When the number of times reaches the number threshold, shield the pushed content;

When the number of times does not reach the number threshold, the push content is displayed to the target user.
The method according to claim 4, wherein when the reference conversion rate is not greater than the second conversion rate, acquiring the number of times the pushed content has been displayed to the target user comprises:

When the reference conversion rate is not greater than the second conversion rate, obtain the number of times the push content has been displayed to the target user within a preset time period.
The method according to any one of claims 2-5, wherein the method further comprises:

When the reference conversion rate is not greater than the first conversion rate, the pushed content is blocked.
The method according to any one of claims 2-6, wherein the user portrait includes a content display preference portrait, and when the reference conversion rate is greater than the first conversion rate, the target user Display the push content, including:

When the reference conversion rate is greater than the first conversion rate, based on the content display preference portrait of the target user, determine a content display mode corresponding to the content display preference portrait of the target user;

Displaying the pushed content to the target user based on the content display manner.
The method according to any one of claims 1-7, wherein the user portrait includes basic attributes, and the user who matches the user portrait of the target user is acquired as the user portrait of the target user according to the user portrait of the target user. Reference users, including:

According to the basic attributes of the target user, search for a user matching the basic attributes of the target user as the reference user.
The method according to claim 8, wherein the basic attribute includes at least one of age and gender.
The method according to any one of claims 1-9, wherein the user portrait includes interest preferences, and the user who matches the user portrait of the target user is acquired as the user portrait of the target user according to the user portrait of the target user. Reference users, including:

According to the interest preference of the target user, a user matching the interest preference of the target user is searched for as the reference user.
The method according to any one of claims 1-10, wherein the user portrait includes a payment behavior, and the user who matches the user portrait of the target user is acquired as the user portrait of the target user according to the user portrait of the target user. Reference users, including:

According to the payment behavior of the target user, a user matching the payment behavior of the target user is searched for as the reference user.
The method according to any one of claims 1-11, wherein the user portrait includes a push conversion rate, and the user who matches the user portrait of the target user is obtained according to the user portrait of the target user As reference users, include:

According to the push conversion rate of the target user, search for a user matching the push conversion rate of the target user as the reference user.
The method according to any one of claims 1-12, wherein the determining a processing method for the pushed content based on the reference conversion rate comprises:

The user portrait of the target user is input into a trained regression model, and the trained regression model is obtained by regression fitting the user portrait of the reference user and the conversion rate of the reference user for the pushed content ；

Acquiring the probability that the target user output by the trained regression model converts the pushed content;

A processing method for the pushed content is determined based on the probability.
The method according to claim 13, wherein said inputting the user portrait of the target user into a trained regression model comprises:

Perform principal component analysis on the user portrait of the target user, and obtain a key user portrait from the user portrait of the target user;

The key user portrait is input into the trained regression model.
The method according to any one of claims 1-14, wherein the obtaining the conversion rate of the reference user for the pushed content as a reference conversion rate comprises:

Acquiring the type to which the pushed content belongs;

Obtain the conversion rate of the reference user for the type as the reference conversion rate.
The method according to claim 15, wherein the obtaining the conversion rate of the reference user for the type as the reference conversion rate comprises:

Determine whether the type is a designated violation type;

When the type is not a designated violation type, the conversion rate of the reference user for the type is obtained as the reference conversion rate.
The method according to claim 16, wherein the method further comprises:

When the type is a designated violation type, the pushed content is blocked.
A processing device for pushing content, which is characterized in that it is applied to electronic equipment, and the device includes:

Push content receiving module, used for the electronic device to receive push content to be displayed to the target user;

The reference user acquisition module is configured to acquire a user who matches the user portrait of the target user as a reference user according to the user portrait of the target user;

The reference conversion rate obtaining module is configured to obtain the conversion rate of the reference user for the pushed content as a reference conversion rate;

The processing method determining module is configured to determine a processing method for the pushed content based on the reference conversion rate.
An electronic device, comprising a memory and a processor, the memory is coupled to the processor, the memory stores instructions, and the processor executes the instructions when the instructions are executed by the processor. The method of any one of 1-17 is required.
A computer-readable storage medium, wherein the computer-readable storage medium stores program code, and the program code can be called by a processor to execute the method according to any one of claims 1-17 .