WO2021138823A1

WO2021138823A1 - Information pushing method and apparatus, server, and storage medium

Info

Publication number: WO2021138823A1
Application number: PCT/CN2020/070781
Authority: WO
Inventors: 王逸峰; 安琪
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: 2020-01-08
Filing date: 2020-01-08
Publication date: 2021-07-15
Also published as: CN114868119A

Abstract

Disclosed in the embodiments of the present application are an information pushing method and apparatus, a server, and a storage medium. The method comprises: acquiring a user group to which information is to be pushed; on the basis of a user portrait of the user group, determining an information pushing channel matching the user group; and pushing information to the user group on the basis of the information pushing channel. In the described method, a user group to which information is to be pushed is acquired, an information pushing channel matching the user group is determined on the basis of a user portrait of the user group, and then information is pushed to the user group on the basis of the information pushing channel, thus a matched information pushing channel can be determined for the user group on the basis of the user portrait of the user group, and then information is pushed to a user in the user group by using the information pushing channel matching the user group, so as to improve the conversion rate of the pushed information.

Description

Information pushing method, device, server and storage medium

Technical field

This application relates to the field of computer technology, and more specifically, to an information push method, device, server, and storage medium.

Background technique

With the development of Internet services, data is also showing explosive growth. There are more and more requirements for data operations in all walks of life. For example, related recommendation systems can push information based on user portraits. However, in the process of information push based on user portraits, the conversion rate of information push needs to be improved.

Summary of the invention

In view of the above problems, this application proposes an information push method, device, server and storage medium to improve the above problems.

In the first aspect, this application provides an information push method, the method includes: acquiring a user group to be pushed; determining an information push channel that matches the user group based on the user profile of the user group; The information push channel pushes information to the user group.

In a second aspect, the present application provides an information push device, the device includes: a user group acquisition unit for acquiring a user group to be pushed information; a push channel determination unit for a user profile based on the user group , Determine the information push channel matching the user group; the information push unit is configured to push information to the user group based on the information push channel.

In a third aspect, the present application provides a server including a processor and a memory; one or more programs are stored in the memory and configured to be executed by the processor to implement the above method.

In a fourth aspect, the present application provides a computer-readable storage medium in which program code is stored, wherein the above-mentioned method is executed when the program code is run by a processor.

The information push method, device, server, and storage medium provided by this application obtain the user group to be pushed, and based on the user portrait of the user group, determine the information push channel that matches the user group, and then Based on the method of pushing information to the user group based on the information push channel, it is possible to determine the matching information push channel for the user group based on the user portrait of the user group, and then send the information to the user group through the information push channel matching the user group. The users in the user group push information, which in turn helps to increase the conversion rate of the pushed information.

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.

Figure 1 shows a flowchart of an information push method proposed in an embodiment of the present application

FIG. 2 shows a flowchart of an information push method proposed in another embodiment of the present application;

FIG. 3 shows a flowchart of an information push method proposed in yet another embodiment of the present application;

FIG. 4 shows a flowchart of an information push method proposed by another embodiment of the present application;

FIG. 5 shows a structural block diagram of a user portrait processing apparatus proposed by an embodiment of the present application;

FIG. 6 shows a structural block diagram of another electronic device of the present application for executing the information pushing method according to an embodiment of the present application;

Fig. 7 is a storage unit for storing or carrying program code for implementing the information pushing method according to the embodiment of the present application according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

User portrait is a very popular research direction in related fields. By processing, mining, and characterizing information such as users' active behaviors and consumption behaviors, user portraits (that is, user portraits of users) can be formed, and then user portrait tags of related users can be generated, so that user characteristics can be more comprehensively understood. After the user portrait label is generated, the user can be more targeted to push appropriate content, which can reduce the push operation cost.

For example, after a user portrait label of a certain user is generated, the generated user portrait label may indicate that the user likes sports, the user likes to eat rice, and the user likes to watch sports games. Then in this case, when pushing a message to the user, a message matching the user's portrait can be pushed. For example, when the user is using an ordering application, he can push more information about rice. When the user is using a video application, he can push more video content about sports games.

The inventor found in the research that in the relevant information push process, there will be problems that the pushed information will not be paid attention to by the user with a high probability, which will cause the information conversion rate to be low. For example, for all users, they can be divided into multiple user groups according to some configuration parameters. Although different user groups have different user portraits, they are used for different user groups in related information push methods. They are all the same information push channels, which leads to the possibility that for some user groups, although the pushed information can be received, the received information is not sent by the information push channel that they are accustomed to or favorite. Will not pay attention to the received information, resulting in a low information conversion rate. Therefore, the inventor proposes the information push method, device, server, and storage medium provided in this application, so as to realize that the user group can determine the matching information push channel based on the user portrait of the user group, and then pass the matching information push channel with the user group. Information push channels are used to push information to users in the user group, which in turn helps to increase the conversion rate of the pushed information.

Hereinafter, each embodiment of the present application will be described in detail with reference to the accompanying drawings.

Please refer to FIG. 1, an information push method provided by an embodiment of the present application is applied to a processing platform, and the method includes:

Step S110: Obtain a user group whose information is to be pushed.

It should be noted that, in the embodiments of the present application, the processing platform may be a platform with user portrait generation, user group division, and information push functions, or may only be a platform for information push functions. In the case of a platform with user portrait generation, user group division, and information push functions, the processing platform can receive some behavior data about the user, and then can generate a corresponding user portrait according to the user's behavior data. Optionally, the behavior data can be counted by the processing platform itself. For example, the processing platform can be a platform that provides users with information browsing, and the processing platform can record the user’s behavioral data about information access (for example, which types of information the user browses) with the user’s permission during the user’s information browsing process. Information and the time period when the user likes to browse the information, etc.), and then generate user portraits corresponding to different users. Optionally, as another way, the processing platform may be provided with a data transmission interface, and then user portraits collected by other information platforms may be transmitted to the processing platform through the data transmission interface.

Optionally, the user group division rules can be pre-configured in the processing platform, and then the processing platform can divide the user into a certain user group according to the user portrait or some behavior data after obtaining the user portrait or some behavior data of the user in. Exemplarily, the user groups included in the division rules of the processing platform configuration may include consumer user groups, sports user groups, literary and artistic user groups, and literary user groups. Then in this case, the processing platform detects that a certain user has more consumer behavior data (for example, product browsing behavior or product purchase behavior, etc.), or a user has been determined that the corresponding user portrait is consumer After the user’s portrait, the user can be divided into consumer user groups.

In the actual information push process, the processing platform can first determine the user groups that need to push the information. In the embodiment of the present application, the processing platform may determine the user groups who currently need to push information according to various methods.

As a way, the processing platform can pre-configure different information push time periods for different user groups. It should be noted that users belonging to different user groups may have demand for some information at different time periods. For example, the consumer user group may have a stronger demand for consumer information after 6 pm every day, while users of the sports user group may have a stronger demand for sports information on weekends. , And users of literature and art may have strong demand for relevant information when some literature and art books are published or exhibited. Then in this way, the processing platform can configure the time period for pushing information to different user groups according to the time period, so that the processing platform can periodically detect the time period at the current moment, and then find the corresponding information push The user group whose time period matches the time period of the current moment is regarded as the user group to be pushed.

Exemplarily, the push time corresponding to the consumer user group includes the push time period A1, the push time period A2, and the push time period A3. The push time corresponding to the sports user group includes the push time period B1 and the push time period B2. Literary and artistic users The push time corresponding to the group includes the push time period C1 and the push time period C2, and the push time corresponding to the literary user group includes the push time period A1 and the push time period D2. Then when the processing platform detects that the current moment belongs to the push time period A1, it can detect that the current time period matches the push time period A1, and the user groups corresponding to the push time period A1 include literary user groups and consumer groups The user group, and then determine that the user group that matches the time period at the current moment is a literary user group and a consumer user group.

As another way, the user group to be pushed can also be determined according to the type of the currently received information that needs to be pushed. It should be noted that the information to be pushed by the processing platform can be configured by the merchant, and the information to be pushed by the merchant may be related to its own type of income. For example, a certain merchant is preparing to launch a new product, so in order to let more users know about the new product to be launched, it can push information about the new product launch to the user through the processing platform. For another example, a certain merchant is the organizer of a sports event, and in order to allow more users to buy tickets for a sports event, it can also push information about event tickets to users through the processing platform. Then, in this way, after the processing platform receives the information configured by the merchant to be pushed to the user, it can determine the current user group to be pushed according to the type of the information. For example, the aforementioned information processing platform about new product launches can be matched to the user group that currently needs to push information as a consumer group, and the information about event tickets can be matched to users who currently need to push information. The group is a sports user group.

Step S120: Determine an information push channel that matches the user group based on the user portrait of the user group.

As a way, the information push channel is an information push channel corresponding to a specified application determined from a plurality of applications.

As another way, the information push channel includes an operator information channel, an application program information channel, or an instant messaging information channel. It should be noted that the operator information channel can be understood as being pushed to users through SMS or MMS. The application information channel can be understood as being pushed to the user through the information push function that comes with the application, and the instant messaging information channel can be understood as being pushed to the user through the instant messaging application.

Step S130: Push information to the user group based on the information push channel.

The information push method provided by this application is to obtain the user group to be pushed, and based on the user portrait of the user group, determine the information push channel that matches the user group, and then send the information to the user group based on the information push channel. The method of pushing information of the user group realizes that a matching information push channel can be determined for the user group based on the user portrait of the user group, and then the information push channel matching the user group is used to push information to the users in the user group , Which in turn helps to increase the conversion rate of the pushed information.

Please refer to FIG. 2, an information push method provided by an embodiment of the present application is applied to a processing platform, and the method includes:

Step S210: Obtain user groups to be pushed information, and the user groups to be pushed information are divided based on user portraits.

Step S220: Determine whether the user portrait type for user group division is generated based on the information push channel.

Step S221: If it is generated based on the information push channel, determine an information push channel that matches the user group based on the user portrait of the user group.

Step S230: If it is not generated based on an information push channel, obtain target behavior data of users in the user group, and determine an information push channel that matches the user group based on the target behavior data.

Step S240: Push information to the user group based on the information push channel.

As a way, the step of determining an information push channel that matches the user group based on the target behavior data includes: determining an information browsing platform that matches the user group based on the target behavior data; The browsing platform serves as an information push channel that matches the user group.

Optionally, the target behavior data includes an information browsing platform used by the user. In this case, the step of determining an information browsing platform that matches the user group based on the target behavior data includes: obtaining the Information browsing platforms used by multiple users in the user group, from the information browsing platforms used by each of the multiple users, obtain the information browsing platforms matched by each of the multiple users in the user group, and obtain multiple information browsing platforms Platform; determine an information browsing platform that matches the user group from the multiple information browsing platforms.

Wherein, as a way, the step of determining an information browsing platform matching the user group from the plurality of information browsing platforms includes: calculating the information browsing platform with the largest proportion among the plurality of information browsing platforms ; Use the information browsing platform with the largest proportion as the determined information browsing platform that matches the user group.

As a way, after the step of pushing information to the user group based on the information push channel, the method further includes: obtaining feedback based on the information pushed by the information browsing platform matching the user group; If the feedback situation does not meet the target feedback situation, the information browsing platform ranked after the largest information browsing platform among the plurality of information browsing platforms is used as the information browsing platform matching the user group.

Wherein, optionally, the feedback situation includes at least one of a conversion rate and a reading rate of the information, and the method further includes: detecting that the conversion rate does not meet the target conversion rate, and/or the reading rate If the rate does not meet the target reading rate, it is determined that the feedback situation does not meet the target feedback condition, wherein the conversion rate is the ratio of the information that triggers profitable behavior to all the push information, and the reading rate is the percentage of the information that has been read. The ratio of all push messages.

As a way, the feedback status of the pushed information in the embodiments of the present application can be understood as the status of viewing the pushed information, or whether the pushed information triggers the user's behavior about pushing the content of the message.

As a way, the feedback situation of the user corresponding to the target group on the pushed information is collected through the data burying point configured in the terminal to which the user corresponding to the target group belongs.

It should be noted that in the embodiments of the present application, the data buried point can be configured to detect whether the user has opened or read the push information, and the buried point can also be configured to detect whether the user has performed a behavior related to the content of the pushed information. Exemplarily, if the target group is a consumption type group, then the push information is consumption type information, and the content of the information is a news that product A is listed. Then it can be determined that the user has read the message when it is detected through the first data embedded point configured in the user terminal that the user has read the message, and further, if it is detected that the user who read the message has information about the product A When shopping, it can be determined that the user has made a behavior related to the content of the pushed information.

As a way, the step of obtaining feedback information based on the information pushed by the information browsing platform matching the user group includes: collecting and collecting data points configured in the terminal to which the user corresponding to the user group belongs. The feedback situation of the information pushed by the information browsing platform matched by the user group.

As shown in the foregoing content, the feedback situation includes at least one of the conversion rate of the information and the reading rate, wherein the conversion rate is the ratio of the information that triggers profitable behavior to all pushed information, and the reading rate is The ratio of read information to all the push information. It should be noted that what needs to be obtained in the embodiments of the present application is the overall feedback situation of the users corresponding to the target group on the push information, not just the feedback situation of a single user in the target group. In this way, the processing platform can calculate the reading rate and conversion rate to determine the overall feedback situation of the target group corresponding to the user on the pushed information.

Among them, the reading rate can reflect the reading of the push information by users in the target group. It is understandable that when a terminal user receives a push message, if it can open the push message for viewing, then it is more likely to trigger further behaviors related to the push message content. As a way, the terminal devices used by the users of the target group are configured with data burying points for data monitoring, and then the data burying points are used to detect the reading status of the push information.

Optionally, the display of the push message on the terminal device may be completed by a designated program, and the designated program may be an independent client program or a plug-in embedded in a certain client program. Then, in one way, the aforementioned data burying point for data monitoring can be directly configured in the same client as the specified program. In this case, the data burying point for data monitoring can detect its own location. The information display plug-in on the client side loads the information content to obtain whether the user has read the push information. Exemplarily, the content of the push message sent to the terminal device to which the user of the target group belongs is "product A will be launched on a month and b, and the introduction information of product A". Then in this case, the data burying point can obtain in advance that the content of the push information is the aforementioned "product A will be launched on a month and b, and the introduction information of product A". Then in this case, the data burying point can detect the content of the information loaded by the information display plug-in in the client where it is located. If it detects that the loaded content is the aforementioned "Product A will be launched on a month and b," As well as the introduction information of product A", it can be determined that the user has read the push information, so that it can be obtained by this method whether all users in the target group have read the push information.

As another method, the data burying point for data monitoring may not be in the same client terminal as the designated program for information push. Then in this case, the data embedding point cannot detect whether the user has read the push information by detecting the content loaded by the information display plug-in. So as a way, in the case that the data burying point for data monitoring and the designated program for information push are not in the same client, the data burying point can detect whether the user has already been displayed by detecting the operation of the client for displaying the push information. I read the push message. In this case, in addition to obtaining the content of the push information itself in advance, the data burying point for data monitoring may also obtain the identification of the client that performs the display of the push information. Exemplarily, the content of the push information sent to the target group is "XX sports competition is about to open", then the data burying point for data monitoring can not only obtain the content of the push information, but also obtain the information from the push information. Client A pushes. Furthermore, after receiving the detection task, the operation of client A can be detected. Among them, detecting the client A may include detecting the content displayed by the terminal device when it is detected that the client A is running in the foreground. If it is detected that the displayed content is the aforementioned "XX sports competition is about to open", It can be determined that the user has read the push information, so that even if the data buried point and the designated program for information push are not in the same client, the user's reading of the push information can still be detected.

It should be noted that, in the embodiment of the present application, the action of sending push information may be executed by the processing platform, or may be executed by other information service platforms other than the processing platform. Furthermore, the content of the push information obtained by each data burying point can be sent by the processing platform as a detection task to the data burying point for data monitoring.

Furthermore, the terminal device to which the target group corresponds to the user will further detect the conversion rate corresponding to the pushed information. It should be noted that the conversion rate in the embodiments of the present application can be understood as whether the user performs some consumption behaviors related to the content in the push information. Exemplarily, if the content of the pushed information is "product A will be launched on a month b, and the introduction information of product A", and it is further detected that the user who received the push information has purchased the product A, Then it can be judged that the user has realized the conversion of the push information. For another example, if the content of the push information sent to the target group is "XX sports competition is about to open", then it is further detected that the user has purchased tickets for the XX sports competition, and it can be determined that the user has realized the conversion of the push information.

It should be noted that, in the embodiment of the present application, the method of detecting the conversion behavior of the data embedded point may be similar to the method of detecting the reading situation described above. That is, in the case where the data embedded in the detection conversion behavior is the execution of the specified program, if the specified program and the user's conversion behavior (for example, shopping behavior) belong to the same client, the product can be ordered by the order component The logo is detected to detect whether the user has purchased a product related to the push message.

In the embodiment of the present application, after the processing platform can calculate the user's reading situation and the corresponding conversion situation, the reading rate and the conversion rate can be calculated.

Exemplarily, for the users corresponding to the target group, there are a total of m users, and among them, n users have detected that they have read the push information, then the corresponding reading rate is n/m. Correspondingly, if there are t users who have consumption behaviors related to the pushed information content, then the corresponding conversion rate is t/m. It should be noted that in one way, users with consumer behavior may not have read the pushed information. Therefore, t can be greater than n, and the t users may not all belong to n who have viewed the pushed information. Of users.

As shown in the foregoing, the processing platform can obtain feedback by obtaining the reading rate and/or conversion rate. In the embodiment of the present application, the target feedback condition can be implemented in multiple ways.

As a way, the target feedback condition may only include the first threshold related to the reading rate. Then, in this way, the processing platform can compare the reading rate with the first threshold after obtaining the reading rate corresponding to the users of the target group, and if the reading rate is not less than the first threshold, then determine that the reading rate is not less than the first threshold. The feedback situation meets the target feedback condition.

In another manner, the target feedback condition may only include the second threshold value related to the conversion rate. Then in this way, after obtaining the conversion rate corresponding to the users of the target group, the processing platform can compare the conversion rate with the second threshold, and if the conversion rate is not less than the second threshold, determine that the conversion rate is not less than the second threshold. The feedback situation meets the target feedback condition.

In still another manner, the target feedback condition may include a first threshold related to reading rate and a second threshold related to conversion rate at the same time. Then in this case, the processing platform can compare the reading rate with the first threshold after obtaining the reading rate and conversion rate corresponding to the users of the target group, and at the same time, the conversion rate with the second threshold The comparison is performed, and if the reading rate is not less than the first threshold and the conversion rate is not less than the second threshold, it is determined that the feedback situation meets the target feedback condition.

It should be noted that when there are multiple ways of feedback conditions, the processing platform can determine which conditions are specifically included in the feedback conditions according to the actual situation.

As a way, the processing platform may determine the specific condition content included in the feedback condition according to the type of the pushed message. For example, if the information being pushed is only some information that does not involve commercial sales, you can configure the feedback conditions to include the reading rate. And if the pushed information includes product promotion and commercial promotion, you can configure the feedback conditions to include both the reading rate and the conversion rate.

The information push method provided by this application is to obtain the user group to be pushed, and based on the user portrait of the user group, determine the information push channel that matches the user group, and then send the information to the user group based on the information push channel. The method of pushing information of the user group realizes that a matching information push channel can be determined for the user group based on the user portrait of the user group, and then the information push channel matching the user group is used to push information to the users in the user group , Which in turn helps to increase the conversion rate of the pushed information. In addition, in the embodiments of the present application, it is possible to first detect how the user group is divided, and then there can be different information push channel adaptation methods according to the user group division method, which improves the adaptation of the information push channel of the user group Flexibility and accuracy.

Please refer to FIG. 3, an information push method provided by an embodiment of the present application is applied to a processing platform, and the method includes:

Step S310: Obtain a user group for which information is to be pushed.

Step S320: Determine whether the user portrait type for user group division is generated based on the information push channel.

It should be noted that there can be multiple rules for user group division in the processing platform. As shown in the foregoing content, the processing platform can divide user groups according to consumer user groups, sports user groups, literary user groups, and literary user groups, etc., and can also divide user groups according to information push channels. For example, the same is to query product information. Some users like to use application A to query product information, while some users like to use application B to query product information. In this case, if the user group classification rule is directly generated based on the information push channel, then the processing platform can directly determine the information push channel that matches the user group based on the user portrait of the user group. In this case, the user profile of the user group can represent the information acquisition channel used by the user, and for the processing platform, the information acquisition channel can be equivalent to the information push channel.

Step S321: If it is generated based on the information push channel, determine an information push channel that matches the user group based on the user portrait of the user group.

It is understandable that if the type of user profile that determines the user group division is generated based on the information push channel, then the user profile in the user group itself represents the information acquisition channel used by the user, and in this case, the processing platform is It can be seen that the information push channel matching the user group is determined directly through the user portrait based on the user group. Exemplarily, the processing platform is divided into user group A, user group B, user group C, and user group D. Among them, user group A is generated based on customary information push channel A, while user group B is generated based on customary information push channel B, user group C is generated based on customary information push channel C, and user group D is based on customary information push channel D generate. Then, if it is generated based on the information push channel, and the user group currently to be pushed is user group B, then the currently matched information push channel is information push channel B.

Step S330: If it is not generated based on the information push channel, obtain the target behavior data of the users in the user group, obtain the information browsing platforms matched by multiple users in the user group, and obtain multiple information browsing platforms.

Step S340: Obtain the type of information to be pushed to the user group.

Step S350: Match the multiple information browsing platforms with the type to obtain a target information browsing platform that matches the type.

As a way, matching the multiple information browsing platforms with the type to obtain a target information browsing platform that matches the type includes: matching the multiple information browsing platforms with the type of the information. Matching; the corresponding information browsing platform with the highest matching rate is used as the target information browsing platform. Among them, each platform may correspond to multiple parameters, and the multiple parameters may include information transmission rate, success rate, cost, and so on. For the non-pass type information, the requirements for the parameters of the information transmission rate, the success rate, and the cost are different. In this case, after obtaining the type of information, the information browsing platform can be matched from the information sending rate, success rate, and cost to obtain the matching rate.

Step S360: Determine the target information browsing platform as an information browsing platform matching the user group.

Step S370: Push information to the user group based on the information push channel.

The information push method provided by this application is to obtain the user group to be pushed, and based on the user portrait of the user group, determine the information push channel that matches the user group, and then send the information to the user group based on the information push channel. The method of pushing information of the user group realizes that a matching information push channel can be determined for the user group based on the user portrait of the user group, and then the information push channel matching the user group is used to push information to the users in the user group , Which in turn helps to increase the conversion rate of the pushed information. Moreover, in the embodiments of the present application, the information browsing platform that matches the user group can be determined from multiple information browsing platforms according to the type of information to be pushed, so as to improve the accuracy of the information push channel that is determined to match the user group. Sex.

Please refer to FIG. 4, an information push method provided by an embodiment of the present application is applied to a processing platform, and the method includes:

Step S410: Obtain a user group for which information is to be pushed.

Step S420: Determine whether the user portrait type for user group division is generated based on the information push channel.

Step S421: If it is generated based on the information push channel, determine an information push channel that matches the user group based on the user portrait of the user group.

Step S430: If it is not generated based on the information push channel, obtain the target behavior data of the users in the user group in the target time period, and determine the information push channel matched by the user group based on the target behavior data in the target time period.

It should be noted that the same user may have different usage habits in different time periods, or the electronic devices used by the user may have different network statuses in different time periods, and the time period can be divided into different time periods. Fine-grained match the current actual situation, and then more accurately match the information push channel for the user group to be pushed.

Step S440: Push information to the user group based on the information push channel.

Wherein, optionally, the target time period is a time period from a designated historical moment to the current moment. For example, the designated historical moment may be one day ago, or one week or one month ago. Furthermore, in this case, the processing device may update the matching information push channel of each user group according to the target behavior data of the time period from the designated historical moment to the current moment every day, week, or month.

Optionally, the target time period is a time period that matches the current moment among multiple configured time periods. Wherein, the time period matching the current time can be understood as a time period whose start time is before the current time and the end time is after the current time.

The information push method provided by this application is to obtain the user group to be pushed, and based on the user portrait of the user group, determine the information push channel that matches the user group, and then send the information to the user group based on the information push channel. The method of pushing information of the user group realizes that a matching information push channel can be determined for the user group based on the user portrait of the user group, and then the information push channel matching the user group is used to push information to the users in the user group , Which in turn helps to increase the conversion rate of the pushed information. Moreover, in the embodiment of the present application, multiple time periods are divided, and then the information push channel for the user group matching can be determined based on the target behavior data in the target time period, thereby achieving a more fine-grained matching user group Information push channel.

Referring to FIG. 5, an information push device 500 provided by an embodiment of the present application runs on a processing platform, and the device 500 includes:

The user group obtaining unit 510 is configured to obtain a user group for which information is to be pushed.

The push channel determination unit 520 is configured to determine an information push channel matched by the user group based on the user portrait of the user group.

The information push unit 530 is configured to push information to the user group based on the information push channel.

As a way, the device 500 further includes a user group division determining unit 540, configured to determine whether the user portrait type for user group division is generated based on the information push channel. In this manner, the push channel determination unit 520 is specifically configured to execute the user profile based on the user group if it is generated based on the information push channel, and determine an information push channel that matches the user group. The push channel determining unit 520 is further configured to obtain target behavior data of users in the user group if it is not generated based on the information push channel, and determine an information push channel that matches the user group based on the target behavior data.

Wherein, optionally, the push channel determining unit 520 is specifically configured to determine an information browsing platform matching the user group based on the target behavior data; push the information browsing platform as information matching the user group channel. As a way, the push channel determining unit 520 is specifically configured to obtain information browsing platforms that are matched by multiple users in the user group to obtain multiple information browsing platforms; and to determine from the multiple information browsing platforms Information browsing platform that matches user groups. Furthermore, the push channel determining unit 520 is specifically configured to calculate the information browsing platform with the largest proportion among the plurality of information browsing platforms; use the information browsing platform with the largest proportion as the determined information matching the user group Browse the platform.

In this manner, the push channel determination unit 520 is also specifically configured to obtain feedback based on the information pushed by the information browsing platform matching the user group; if the feedback does not meet the target feedback situation, The information browsing platform ranked after the largest information browsing platform in the plurality of information browsing platforms is used as the information browsing platform matching the user group.

Wherein, optionally, the feedback situation includes at least one of the conversion rate and the reading rate of the information, and the push channel determining unit 520 is further specifically configured to detect if the conversion rate does not meet the target conversion rate, and/or If the reading rate does not meet the target reading rate, it is determined that the feedback situation does not meet the target feedback condition, wherein the conversion rate is the ratio of information that triggers profitable behavior to all push messages, and the reading rate is the information that has been read The ratio of all the push information.

As a way, the push channel determining unit 520 is also specifically configured to collect feedback on the information pushed by the information browsing platform matching the user group through the data embedding point configured in the terminal to which the user corresponding to the user group belongs.

As another way, the push channel determining unit 520 is specifically configured to obtain the type of information to be pushed to the user group; based on the type of the information, it is determined from the plurality of information browsing platforms to match the user group Information browsing platform. In this manner, the push channel determination unit 520 is specifically configured to match the multiple information browsing platforms with the types of information; and use the corresponding information browsing platform with the highest matching rate as the user group. Matching information browsing platform.

As yet another way, the push channel determining unit 520 is specifically configured to obtain target behavior data of users in the user group within a target time period, and determine the user group matching data based on the target behavior data in the target time period. Information push channel. Optionally, the target time period is a time period from a designated historical moment to the current moment. Optionally, the target time period is a time period that matches the current moment among multiple configured time periods.

As a way, the information push channel is an information push channel corresponding to a specified application determined from a plurality of applications. As another way, the information push channel includes an operator information channel, an application program information channel, or an instant messaging information channel.

It should be noted that the device embodiment in this application and the foregoing method embodiment correspond to each other, and the specific principles in the device embodiment can be referred to the content in the foregoing method embodiment, which will not be repeated here.

Hereinafter, an electronic device provided by the present application will be described with reference to FIG. 6.

Referring to FIG. 6, based on the foregoing information pushing method, another electronic device 200 including a processor 104 that can execute the foregoing information pushing method is also provided in an embodiment of the present application. The electronic device 200 further includes a memory 104 and a network module 106. Wherein, the memory 104 stores a program that can execute the content in the foregoing embodiment, and the processor 102 can execute the program stored in the memory 104. The internal structure of the processor 102 may be as shown in FIG. 1.

The processor 102 may include one or more cores for processing data and a message matrix unit. The processor 102 uses various interfaces and lines to connect various parts of the entire electronic device 200, and executes by running or executing instructions, programs, code sets, or instruction sets stored in the memory 104, and calling data stored in the memory 104. Various functions and processing data of the electronic device 200. Optionally, the processor 102 may use 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 102 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 for rendering and drawing of display content; the modem is used for processing wireless communication. It is understandable that the above-mentioned modem may not be integrated into the processor 102, but may be implemented by a communication chip alone.

The memory 104 may include random access memory (RAM) or read-only memory (Read-Only Memory). The memory 104 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 104 may include a storage program area and a storage data area, where the storage program 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.

The network module 106 is used to receive and send electromagnetic waves, and realize the mutual conversion between electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices, such as with an audio playback device. The network module 106 may include various existing circuit elements for performing these functions, for example, an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a subscriber identity module (SIM) card, a memory, etc. . The network module 106 can communicate with various networks, such as the Internet, an intranet, and a wireless network, or communicate with other devices through a wireless network. The aforementioned wireless network may include a cellular telephone network, a wireless local area network, or a metropolitan area network. For example, the network module 106 can exchange information with the base station.

Please refer to FIG. 7, which shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application. The computer-readable medium 1100 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 1100 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 1100 includes a non-transitory computer-readable storage medium. The computer-readable storage medium 1100 has a storage space for executing the program code 810 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 1110 may be compressed in an appropriate form, for example.

In summary, the information push method, device, server, and storage medium provided by this application obtain the user group to be pushed, and determine the matching information of the user group based on the user portrait of the user group Push channel, and then push information to the user group based on the information push channel, so that the user group can determine the matching information push channel based on the user portrait of the user group, and then pass the information matching the user group Push channels are used to push information to users in the user group, which in turn helps to increase the conversion rate of the pushed information.

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

An information push method, characterized in that the method includes:

Obtain the user groups to be pushed;

Based on the user profile of the user group, determining an information push channel that matches the user group;

Push information to the user group based on the information push channel.
The method according to claim 1, wherein the user group to be pushed is divided based on user portraits, and the user portrait based on the user group determines the information push channel matching the user group Before the steps, it also includes:

Determine whether the user portrait type for user group division is generated based on the information push channel;

If it is generated based on the information push channel, the user profile based on the user group is executed, and the information push channel matched by the user group is determined.
The method according to claim 2, wherein the method further comprises:

If it is not generated based on the information push channel, the target behavior data of the users in the user group is obtained, and the information push channel matched by the user group is determined based on the target behavior data.
The method according to claim 3, wherein the step of determining an information push channel matched by the user group based on the target behavior data comprises:

Based on the target behavior data, determine an information browsing platform that matches the user group;

The information browsing platform is used as an information push channel matched with the user group.
The method according to claim 4, wherein the target behavior data includes an information browsing platform used by the user, and the step of determining an information browsing platform that matches the user group based on the target behavior data, include:

Acquiring information browsing platforms used by multiple users in the user group;

Obtaining information browsing platforms matched by each of the multiple users in the user group from the information browsing platforms each used by the multiple users to obtain multiple information browsing platforms;

Determine an information browsing platform matching the user group from the plurality of information browsing platforms.
The method according to claim 5, wherein the step of determining an information browsing platform matching the user group from the plurality of information browsing platforms comprises:

Calculate the information browsing platform with the largest proportion among the plurality of information browsing platforms;

The information browsing platform with the largest proportion is used as the determined information browsing platform that matches the user group.
The method according to claim 6, wherein after the step of pushing information to the user group based on the information push channel, the method further comprises:

Obtaining feedback information based on the information pushed by the information browsing platform matching the user group;

If the feedback situation does not meet the target feedback situation, the information browsing platform that ranks behind the largest information browsing platform among the plurality of information browsing platforms is used as the information browsing platform that matches the user group.
The method according to claim 7, wherein the feedback situation includes at least one of a conversion rate and a reading rate of the information, and the method further comprises:

If it is detected that the conversion rate does not meet the target conversion rate, and/or the reading rate does not meet the target reading rate, it is determined that the feedback situation does not meet the target feedback condition, wherein the conversion rate is the same as the information that triggers the profitable behavior The ratio of all pushed information, and the reading rate is the ratio of read information to all the pushed information.
8. The method according to claim 7, wherein the step of obtaining feedback information based on the information pushed by the information browsing platform matching the user group comprises:

Collect the feedback of the information pushed by the information browsing platform matching the user group through the data buried points configured in the terminal to which the user corresponding to the user group belongs.
The method according to claim 5, wherein the step of determining an information browsing platform matching the user group from the plurality of information browsing platforms comprises:

Acquiring the type of information to be pushed to the user group;

Matching the multiple information browsing platforms with the type to obtain a target information browsing platform that matches the type;

The target information browsing platform is determined as an information browsing platform matching the user group.
The method according to claim 10, wherein the step of determining an information browsing platform matching the user group from the plurality of information browsing platforms based on the type of the information comprises:

Matching the plurality of information browsing platforms with the type of the information respectively;

The corresponding information browsing platform with the highest matching rate is used as the information browsing platform matching the user group.
The method according to any one of claims 3-11, wherein the step of obtaining target behavior data of users in the user group, and determining an information push channel matched by the user group based on the target behavior data, include:

Obtain target behavior data of users in the user group within a target time period, and determine an information push channel matched by the user group based on the target behavior data in the target time period.
The method according to claim 12, wherein the target time period is a time period from a designated historical moment to a current moment.
The method according to claim 13, wherein the target time period is a time period matching the current time among the configured multiple time periods.
The method according to any one of claims 1-14, wherein the information push channel is an information push channel corresponding to a specified application determined from a plurality of applications.
The method according to any one of claims 1-14, wherein the information push channel includes an operator information channel, an application information channel, or an instant messaging information channel.
An information push device, characterized in that the device includes:

The user group acquisition unit is used to obtain the user group for which information is to be pushed;

A push channel determining unit, configured to determine an information push channel matched by the user group based on the user portrait of the user group;

The information push unit is configured to push information to the user group based on the information push channel.
The device according to claim 17, wherein the device further comprises:

The user group division determining unit is used to determine whether the user portrait type for user group division is generated based on the information push channel;

The push channel determining unit is specifically configured to execute the user profile based on the user group if it is generated based on the information push channel, and determine an information push channel that matches the user group.
A server, characterized by comprising a processor and a memory; one or more programs are stored in the memory and configured to be executed by the processor to implement the method of claims 1-8.
A computer-readable storage medium, wherein a program code is stored in the computer-readable storage medium, wherein the method according to any one of claims 1-8 is executed when the program code is run by a processor.