CN115023933A

CN115023933A - Content pushing method, device, server and storage medium

Info

Publication number: CN115023933A
Application number: CN202080094717.0A
Authority: CN
Inventors: 贾欣
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Priority date: 2020-02-28
Filing date: 2020-02-28
Publication date: 2022-09-06
Also published as: WO2021168830A1

Abstract

The application discloses a content pushing method, a content pushing device, a server and a storage medium, and relates to the technical field of content pushing. Wherein, the method comprises the following steps: querying a first target user corresponding to a first feature from a target database, wherein the target database comprises user data updated in real time, and the user data comprises features corresponding to each user and users corresponding to each feature; selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic; and pushing the content to be pushed corresponding to the second characteristic to the second target user. The technical scheme improves the accuracy of the pushed user and the accuracy of the pushed content.

Description

Content pushing method, device, server and storage medium

Technical Field

The present application relates to the field of content push technologies, and in particular, to a content push method, an apparatus, a server, and a storage medium.

Background

During the interaction between the user and the server through the electronic device, a large amount of data is generated, and the data can characterize the user, so that the content push can be performed on the user based on the data. In the existing push mode, the pushed users and contents are not accurate enough, so that the waste of push resources is caused.

Disclosure of Invention

In view of the foregoing problems, the present application provides a content pushing method, apparatus, server and storage medium to improve the foregoing problems.

In a first aspect, an embodiment of the present application provides a content push method, where the method includes: querying a first target user corresponding to a first feature from a target database, wherein the target database comprises user data updated in real time, and the user data comprises features corresponding to each user and users corresponding to each feature; selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic; and pushing the content to be pushed corresponding to the second characteristic to the second target user.

In a second aspect, an embodiment of the present application provides a content pushing apparatus, where the apparatus includes: the system comprises a first query module, a first database and a second query module, wherein the first query module is used for querying a first target user corresponding to a first characteristic from a target database, the target database comprises user data updated in real time, and the user data comprises the characteristic corresponding to each user and the user corresponding to each characteristic; the second query module is used for selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic; and the pushing module is used for pushing the content to be pushed corresponding to the second characteristic to the second target user.

In a third aspect, an embodiment of the present application provides a server, including: one or more processors; a memory; one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs being executed by the processors for performing the methods described above.

In a fourth aspect, the present application provides a computer-readable storage medium, in which program codes are stored, and the program codes can be called by a processor to execute the method described above.

According to the content push method, the content push device, the content push server and the content push storage medium, according to the target database updated in real time, the user with the first characteristic is selected as the first target user, and then the user with the second characteristic is further selected as the second target user on the basis of the first target user. When the content is pushed, the content corresponding to the second characteristic is pushed to the second target user, so that the pushed user is a user accurately selected through the second characteristic on the basis of the first characteristic, the pushed content corresponds to the second characteristic, and the accuracy of the pushed user and the accuracy of the pushed content are improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 shows a flowchart of a content push method provided in an embodiment of the present application.

Fig. 2 shows a flowchart of a content push method according to another embodiment of the present application.

Fig. 3 shows a flowchart of a content pushing method according to another embodiment of the present application.

Fig. 4 shows a flowchart of a content pushing method according to still another embodiment of the present application.

Fig. 5 is a functional block diagram of a content push apparatus according to an embodiment of the present application.

Fig. 6 shows a block diagram of a server according to an embodiment of the present application.

Fig. 7 is a storage unit for storing or carrying program codes for implementing a content push method according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

During the interaction process between the electronic equipment and the server, a large amount of data can be generated by a user, the characteristics of the user can be analyzed, and the characteristics of the user can indicate one or more user information such as the preference, the character, the financial condition, the family state, the trip mode, the friend making circle and the like of the user. For example, the characteristics may be attribute information of the user, such as age, gender, occupation, constellation, and birthday, of the user, which is determined from information registered by the user or in other ways; the characteristic may also be a user behavior characteristic generated by the operation of the electronic device by the user, such as the number of times the user opens a certain software, the number of times a certain commodity is browsed, the number of times a certain type of commodity is browsed, the time for downloading a certain program, and the like. The attribute information of each user may be information with small change, for example, the attribute information may be changed at least at intervals of a preset duration, for example, the gender, constellation, and birthday of the same user are basically unchanged, the change of age and occupation is slow, and the attribute information may be changed at intervals of a long time. The user behavior characteristic is generated by a user operating the electronic device, and if the user operates the electronic device continuously, the user behavior characteristic changes rapidly, for example, the user behavior characteristic changes within a time period, for example, a day.

When the content is pushed, the user is selected to push based on the characteristics of the user, and the target user needing to be maintained can be selected more accurately to push. Therefore, the embodiment of the application provides a content push method, a content push device, a server and a storage medium, and users are selected layer by layer according to characteristics of the users to push the content, so that the users to be pushed the content are accurately selected. The content push method, device, server and storage medium provided by the embodiments of the present application will be described in detail by specific embodiments.

Referring to fig. 1, a content push method provided in an embodiment of the present application is shown. Specifically, the method comprises the following steps:

step S110: and querying a first target user corresponding to the first characteristic from the target database. The target database comprises user data updated in real time, and the user data comprises characteristics corresponding to each user and the user corresponding to each characteristic.

Step S120: and selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic.

Step S130: and pushing the content to be pushed corresponding to the second characteristic to the second target user.

In this embodiment, the manner of selecting the user may be to select the user with the first characteristic as the target user, and then select the user with the second characteristic from the first target user as the second target user, so as to select the user with the second characteristic from the users with the first characteristic, and precisely select the user to be subjected to content push. And pushing the content to be pushed corresponding to the second characteristic to a second target user, wherein the pushed content has a corresponding relation with the second characteristic, so that more accurate content is pushed to the selected user.

The present application further provides an embodiment, in which the determination of the second characteristic may be included. Specifically, referring to fig. 2, the method provided in this embodiment includes:

step S210: and querying a first target user corresponding to the first characteristic from the target database. The target database comprises user data updated in real time, and the user data comprises characteristics corresponding to each user and the user corresponding to each characteristic.

The correspondence between the user and the feature may be stored in the target database as user data, and the correspondence may include the feature corresponding to each user and the user corresponding to each feature. The characteristics corresponding to the user represent the characteristics of the user; the user corresponding to the feature indicates a user having the feature.

Specifically, the user and the feature may be stored by two correspondence relationships. In one correspondence, the feature corresponding to each user may be constructed based on a forward index, that is, all features corresponding to the user may be indexed by using the identity information of the user as an index key. For example, user a corresponds to features a1, a2 and a3, which indicate that the user corresponds to features a1, a2 and a3, and features a1, a2 and a3 of the user can be indexed by the identity information of user a. In another corresponding relationship, the user corresponding to each feature is constructed based on the inverted index, that is, all users having the feature can be indexed by using the feature as an index key. For example, if A, B, C is the user with feature a1, then feature a1 corresponds to feature A, B, C, and A, B, C is the user with feature a1 indexed by feature a 1.

The user data in the target database may be updated in real time, which indicates that if user data is newly generated, the newly generated user data is stored in the target database. For example, if a certain user starts a certain software once, the user behavior feature of the software starting times is increased by one, and in the user behavior feature, the software starting times corresponding to the user is increased by one.

In addition, the target database may also store user data generated once, that is, user data generated before the current time, such as user data generated in the latest preset time period.

In the embodiment of the present application, what kind of database the target database is specific is not limited, and may be, for example, a storage engine. The storage engine may have analysis capabilities. In addition, optionally, the content push method according to the embodiment of the present application may be implemented by the storage engine based on the user data updated in real time, where the storage engine may be a server that executes the method according to the embodiment of the present application.

When content pushing is needed, the first characteristic can be determined according to which type of user the user needing to push the content is, and the user corresponding to the first characteristic is inquired from the target database and is used as the first target user. For example, for a certain important business, analysis of the active users in the last month is needed to confirm what marketing scheme is more helpful to improve the retention of the group of users. The active time may be the last month as a first feature. Whether the user is active or not can be defined according to the requirements of each software or platform, if the user logs in a certain day for the important service, the user is considered to be active on the day, and the latest active time length of the user is the number of continuous active days.

As an embodiment, if the server executes the method, the server may perform user lookup and push in response to a push request of the push terminal. The first feature may be sent by the push terminal.

As another embodiment, the first characteristic may be determined by the server according to a predetermined push logic. For example, when the number of users corresponding to a certain feature reaches a certain preset amount, which indicates that there are many users with the feature, there may be many receiving users when pushing content, and the pushed content may exert a greater value, then the feature is used as the first feature. For another example, the number of users of a certain feature recently increases faster, and if the daily growth rate is higher than the preset growth rate, it indicates that the user with the feature has mining potential, and the feature can be used as the first feature to perform user selection pushing to attract more users.

When the user corresponding to the first feature is queried from the target database, which users correspond to the first feature may be queried according to the user corresponding to each feature, and the found user is defined as the first target user. For example, if the first characteristic is a gender characteristic male, the user with the gender characteristic corresponding to the male is searched, that is, the male user in the target database is searched as the first target user. For another example, if the first characteristic is that the active time is the latest month, the user corresponding to the characteristic that the active time is one month is searched for as the first target user, and the first target user is an active user in the latest month. It is understood that, in the embodiment of the present application, the first target user may be one user or multiple users, and the specific number is not limited in the embodiment of the present application and may be determined by an actual query result.

Optionally, in this embodiment of the present application, the first feature may be a user behavior feature. Due to the fact that the user behavior characteristics change rapidly, and the user data in the target database are updated in real time, the first target user inquired can be guaranteed to be a user with timeliness, and the search result is accurate.

Step S220: a second characteristic is determined.

Optionally, in this embodiment of the present application, determining a second feature different from the first feature may be further included to further select a user on the basis of the first target user, so that the selected user is more accurate.

In this embodiment, in order to select a user more suitable for content push from the first target users, the second feature may be determined based on the searched first target user.

Specifically, the second characteristic may be determined according to a characteristic corresponding to the first target user and different from the first characteristic. That is, the first target user has a feature different from the first feature, and the second feature is determined according to the feature different from the first feature.

As an embodiment, the first target user may include a plurality of users, each user corresponding to a plurality of features. The manner of determining the second feature according to the feature different from the first feature corresponding to the first target user may be that, from features different from the first feature corresponding to the first target user, the number of users in the first target user corresponding to each feature is determined; and acquiring one or more characteristics with the maximum number of corresponding users as the second characteristics.

That is, each of the first target users corresponds to a feature, and features between different users overlap, so that for each feature different from the first feature corresponding to the first target user, and possibly corresponding to a user among the plurality of first target users, one or more features with the largest number of corresponding users may be selected as the second feature.

When the number of users corresponding to each feature is determined, the number of users in the first target user corresponding to each feature may be determined based on the inverted index, that is, based on the user having the feature corresponding to each feature. The number of users can be represented by a quantity value or can be represented by a proportion, and the higher the proportion of the total number of the first target users is, the more the number is. Therefore, when the user is selected according to the second feature determined in the embodiment, the selected various second features are features corresponding to a large number of users, and the push value of the content to be pushed corresponding to each second feature can be exerted as much as possible.

For example, the first target user includes user A, B, C, and among the features different from the first feature, the features corresponding to user a include features a1, a2, and a3, the features corresponding to user B include features a1, B1, and B2, and the features corresponding to user C include features a1, a2, and B2, it may be determined that the features corresponding to the first target user include features a1, a2, a3, B1, and B2, the number of users corresponding to a1 is 3, the number of users corresponding to a2 is 2, the number of users corresponding to B2 is 2, the number of users corresponding to a3 is 1, and the number of users corresponding to B1 is 1. Then the one feature corresponding to the largest number of users is a1, and a1 is selected as the second feature.

Optionally, in this embodiment of the present application, the features characterizing the user characteristics may be in multiple categories, where different contents in each category are different features, and the features in different categories are different features. For example, when the category is sex, occupation, constellation, active time, etc., the categories respectively correspond to different categories as different features in the category, for example, different features in the category of sex are male and female, and different features in the category of occupation include various occupations such as white collar, primary and secondary school students, teachers, shopping services, college students, etc.; different features within this category of constellations include the 12 constellations of the lamb seat, the Gemini, etc.; the different characteristics within the active time may be a different number of time units of 1 day, 2 days, 3 days, etc.

When a user with a second feature is selected from the first target users, a feature different from the category in which the first feature is located may be used as the second feature, that is, the second feature may be determined from the category different from the category in which the first feature is located, which specific category is not limited, may be all categories different from the category in which the first feature is located, or may be a specific category, which specific category is different from the category in which the first feature is located. The second feature may be a feature in the category of occupation, as the first feature is a feature of 30 days active in the active time category.

When the number of users in the first target user corresponding to each feature is determined from the features corresponding to the first target user, the number of users corresponding to each feature may be determined from the features in the specified category corresponding to the first target user. For example, the number of users in the first target user corresponding to each occupation is determined from various occupations of the category of the occupations corresponding to the first target user, that is, the number of users corresponding to each occupation in the first target user is determined, such as the number of users in the white collar in the first target user, the number of users in the middle and primary school students, the number of users in the teacher, and the like.

In addition, whether one feature or a plurality of features are selected as the second feature is not limited in the embodiment of the present application, and if one feature is selected as the second feature, one feature with the largest number of users may be selected; if a plurality of features are selected, for example, a preset number of features are selected, a plurality of features with the number of users ranked from more to less and at the top can be selected; in addition, the second feature may be a feature having a number of users greater than a specified number.

As another implementation manner, the determining the second feature according to the feature corresponding to the first target user may be that a feature that is the same as the target feature is selected from the features corresponding to the first target user as the second feature.

In particular, it may be determined that the targeted characteristic is a characteristic that a user who can push content has, the targeted characteristic being different from the first characteristic. The target features may include a plurality of features, the features corresponding to the first target user may include a plurality of features, and a feature having an intersection with the target feature is determined as the second feature from the features corresponding to the first target user.

For example, if the first target user corresponds to features different from the first feature including a1, b1, and c1, and the target features include a1 and c1, then a1 may be determined to be the second feature.

In this embodiment, the target feature may be a feature in a category different from the category in which the first feature is located. The target feature may be used to pick a specified user. For example, the target feature is an after-sales service, and the user having the target feature indicates a user who needs to perform the after-sales service; if the target characteristic is customer service marketing, the user with the target characteristic is the user needing customer service marketing.

As another embodiment, different contents to be pushed and features may have a corresponding relationship, and if a feature corresponds to a content to be pushed, the content to be pushed corresponding to the feature may be pushed, so that the manner of determining the second feature according to the feature different from the first feature corresponding to the first target user may be to select a feature corresponding to the content to be pushed from features different from the first feature corresponding to the first target user as the second feature. For example, the first target user corresponds to features a1, b1, c1 different from the first feature, and if a1 and b1 correspond to content to be pushed and c1 does not correspond to content to be pushed, a1 and b1 are selected as the second feature.

In this embodiment, when the second feature is selected, the second feature may also be selected from other categories different from the category in which the first feature is located, for example, the feature corresponding to the first target user in the specified category is determined, and the feature corresponding to the content to be pushed is obtained from the determined feature and is used as the second feature.

In addition, optionally, in this embodiment of the present application, the second feature may also be sent by a push terminal.

Optionally, in this embodiment, the second feature may be a user behavior feature. Due to the fact that the user behavior characteristics change rapidly, and the user data in the target database are updated in real time, the second target user inquired can be guaranteed to be a user with timeliness, and the search result is accurate.

Optionally, the second feature may be a feature that can characterize user preferences and measure whether the user retains the current service, so that the content corresponding to the second feature conforms to the user preferences and is more attractive to the user, and when the content is pushed corresponding to the current service, the retention of the user can be more facilitated.

Alternatively, the second feature may be a feature having a higher level of importance. For example, different features are labeled with different importance levels, and one or more features with the highest importance levels are selected as the second features.

Step S230: and selecting a user with a second characteristic from the first target users as a second target user.

Some of the first target users may have the second feature, and some of the users may not have the second feature. After the second characteristic is determined, a user with the second characteristic can be selected from the first target users, so that accurate selection of the user can be realized. And defining the user with the second characteristic selected from the first target users as a second user.

In the embodiment of the present application, when selecting the second target user from the first target user, the selection may be performed based on different corresponding relationships between the users and the features, for example, the selection may be performed based on the forward index, and the selection may be performed based on the reverse index.

In an embodiment, when selecting based on the forward index, a user corresponding to the second feature may be selected from the first target users as the second target user according to the feature corresponding to each user.

Optionally, the user is used as an index key word to index the features corresponding to each user, and whether the features corresponding to each user include the second features is determined. And selecting the user comprising the second characteristic as a second target user. For example, if the target database includes user A, B, C, D, etc., and the second feature is feature a1, if the feature corresponding to user a includes feature a1, user a is selected, otherwise, user a is not selected; other users determine whether to select in the same manner.

In another embodiment, the selection may be based on an inverted index. Specifically, according to the user corresponding to each feature, the user corresponding to the second feature may be selected as the third target user; and acquiring the intersection with the first target user from the third target user to serve as the second target user.

Optionally, each feature in the second features may be respectively used as an index key, each feature constructed based on the inverted index corresponds to all users, and all users corresponding to the second features are indexed to serve as third target users. And selecting the same users as the first target users from the third target users as second target users.

Optionally, in this embodiment of the application, if the second feature includes more than one feature, when a second target user with a second feature is obtained from the first target users, users from the first target users corresponding to different second features may be obtained and used as second target users corresponding to different second features.

Optionally, if there are duplicate users between the second target users corresponding to different second features, the deduplication operation may be performed, and only one duplicate user is reserved in all the second target users corresponding to the second features, so as to avoid duplicate pushing by the same user.

Optionally, in this embodiment of the application, after the second target user is determined, a user who prohibits push content may be further removed from the second target user. For example, the user closes the content push, the user complains about the content push operation, and the like, and the part of the user may not push any more. In the embodiment of the present application, the feature that prohibits push content may be represented by one feature, and the feature may be defined as a third feature.

After the second target users are determined, users with the third characteristics in the second target users can be searched, and the users with the third characteristics are deleted from the second target users to serve as updated second users for content pushing.

Step S240: and pushing the content to be pushed corresponding to the second characteristic to the second target user.

In the event that a second target user is determined, the content may be pushed to the second target user. In order to make the pushed content more accurate and better influence the user, the content to be pushed corresponding to the second feature may be pushed to the second target user.

Optionally, in this embodiment of the application, the stored content to be pushed may correspond to a content tag, where the content tag represents a feature of the content to be pushed. In addition, preset correspondence between the content tag and the feature may also be stored. When the content to be pushed corresponding to the second feature is pushed to the second target user, the content to be pushed corresponds to the content tag, and the content tag corresponding to the second feature is determined. And when the content corresponding to the second characteristic is pushed to the second target user, pushing the content corresponding to the content label corresponding to the second characteristic corresponding to the second target user. If the second feature corresponding to the second target user is the feature a1, the content corresponding to the content tag corresponding to the feature a1 is pushed to the second target user.

In addition, in this embodiment of the application, the target database includes a plurality of contents to be pushed, the second feature may include a plurality of features, and different second features correspond to different contents to be pushed. When the content to be pushed corresponding to the second feature is pushed to the second target user, the second target users corresponding to different features push different content to be pushed, and push the content corresponding to the corresponding second feature.

Specifically, different contents to be pushed corresponding to the second characteristics may be selected from the contents to be pushed; and pushing the selected content to be pushed to a second target user with corresponding second characteristics. For example, the second feature includes a1, b1, the second target user corresponding to a1 is U1, the second target user corresponding to b1 is U2, U1 may include a plurality of users, and U2 may include a plurality of users. When pushing, the content to be pushed corresponding to a1 is pushed to U1, and the content to be pushed corresponding to b1 is pushed to U2.

In addition, when the second feature includes a plurality of features, the manner of selecting different contents to be pushed corresponding to the second features from the contents to be pushed may be that, according to the preset corresponding relationship between the content tag and the feature, the content tag corresponding to each second feature is determined; and selecting the contents to be pushed corresponding to the determined content labels as the contents to be pushed corresponding to the corresponding second characteristics, so as to realize automatic matching of the user and the contents. It will be appreciated that the corresponding second feature is the second feature to which the selected content tag is responsive.

In the embodiment of the application, the first target user is selected according to the first characteristic, the second target user with the second characteristic is selected on the basis of the first target user, and the content corresponding to the second characteristic is pushed to the second target user, so that the pushed content is more targeted relative to the user, and the value of the pushed content can be exerted to a greater extent.

For example, in a specific usage scenario, in order to help improve the retention of the group of users to the active users in the last month in a targeted manner, the active users in the last month may be selected as the first target user with the active users in the last month as the first feature, and content push may be performed on the group of users. However, in order to improve the appeal of the content to the user, it is necessary to match the characteristics of the content and the user. If different users have different characteristics, the preference is different, and if the pushing is performed according to different characteristics of all the users, the pushing amount is too large, and the value is too low. Therefore, users with the second characteristic can be selected from the first target users, the users with the second characteristic can be users with higher proportion or users with higher importance, and content pushing corresponding to the second characteristic is carried out on the users, so that the content pushing accuracy and the pushing value are improved.

The present application also provides an embodiment in which closed loop adjustments can be made to features, push content, or users. Specifically, referring to fig. 3, the method includes:

step S310: and querying a first target user corresponding to the first characteristic from a target database, wherein the target database comprises user data updated in real time, and the user data comprises the characteristic corresponding to each user and the user corresponding to each characteristic.

Step S320: and selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic.

Step S330: and pushing the content to be pushed corresponding to the second characteristic to the second target user.

Steps S310 to S330 may refer to the same or corresponding steps in the foregoing embodiments, and are not described herein again.

Optionally, in this embodiment of the application, for a user different from the second target user among the first target users, ordinary content may be pushed, or content that is verified by big data to be of interest to most users. Thus, a user different from the second target user may be determined from the first target users as a fourth user; and pushing preset content to the fourth user, namely the content which most users may be interested in. Therefore, the content pushing can be carried out for the users without the second characteristic, and when the pushed content is used for marketing, marketing can be carried out for all the users meeting the first characteristic.

Step S340: and acquiring the operation data of the second target user on the content to be pushed.

After pushing the content to the second target user, the user may perform an operation based on the pushed content, thereby generating operation data. The operation data is, for example, click, view duration; for purchase of goods, joining a shopping cart, etc. The server can acquire operation data generated by operating the content to be pushed by each target user.

Step S350: and optimizing the data in the target database according to the acquired operation data.

After the operation data is acquired, whether the data stored in the target database is accurate, for example, whether the correspondence between the features and the content to be pushed is accurate, whether the correspondence between the features and the user is accurate, or the like, may be determined according to the operation data.

If not, the data in the target database can be optimized. For example, at least one of the following adjustments may be made: adjusting the content to be pushed corresponding to the second characteristic according to the acquired operation data; and adjusting the user corresponding to the second characteristic according to the acquired operation data.

In a specific implementation manner, if the operation data of the content to be pushed by the second target user meets a preset condition, it may be considered that the data stored in the target database may be accurate. If the operation data of the content to be pushed by the second target user does not meet the preset conditions, the data stored in the target database may be considered to be inaccurate, and data optimization in the target database may be performed. The preset condition can be set according to different contents to be pushed, for example, for the contents to be pushed in the class of articles, the ratio of the viewing time of the contents to be pushed to the second target user with the preset time to the total second target user is lower than the preset ratio; and for the to-be-pushed contents of the commodity class, the proportion of the second target users for adding the to-be-pushed contents into the shopping cart is lower than the preset proportion, and the like. The preset proportions set for different contents to be pushed may be different.

In addition, according to the acquired operation data, the content to be pushed corresponding to the second feature may be adjusted by replacing the content to be pushed corresponding to the second feature. According to the acquired operation data, the user corresponding to the second feature may be adjusted by re-analyzing the data of the user and determining the user corresponding to the second feature based on a re-analysis result; or the user who does not check the content to be pushed is not used as the user corresponding to the second characteristic. It can be understood that, if the user corresponding to the second feature changes, the corresponding relationship between the second feature and the user in the forward index and the reverse index is correspondingly changed.

When the data in the target database is optimized according to the acquired operation data, the different optimization modes can be selected at different times or the user mode can be selected at the same time for optimization. And after optimization, selecting a second target user to push the content corresponding to the second characteristic according to the optimized data and the same first characteristic and second characteristic, and judging whether the data stored in the target database is accurate again according to the operation data of the second target user until the data stored in the target database is accurate.

In the embodiment, after the content is pushed, the data in the target database can be optimized according to the operation data of the user on the pushed content, so that the corresponding relation between the characteristics and the user and between the characteristics and the content is more accurate, the user pushed by the content to be pushed is more accurate through continuous optimization, and the content to be pushed has more pertinence to the user.

The present application further provides an embodiment. In this embodiment, information acquisition may be performed on the selected second target user for other services. As shown in fig. 4, the method of this embodiment includes:

step S410: and querying a first target user corresponding to the first characteristic from a target database, wherein the target database comprises user data updated in real time, and the user data comprises the characteristic corresponding to each user and the user corresponding to each characteristic.

Step S420: and selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic.

Step S430: and acquiring basic information of a second target user.

In this embodiment, a second target user that needs to be used in some specified service scenarios may be selected through the first feature and the second feature, and basic information of the second target user is obtained for the specified service scenarios. And acquiring basic information of a second target user corresponding to characteristics such as after-sales service, customer service marketing and the like, and performing targeted communication in scenes such as after-sales service, influence overcoming and the like.

The basic information includes, but is not limited to, which information is specifically included, such as an address, an age, and the like. In addition, optionally, the basic information of the user may also be part of the characteristics of the user.

The embodiment of the present application further provides a content pushing apparatus 500. Referring to fig. 5, the apparatus 500 includes: a first query module 510, configured to query a first target user corresponding to a first feature from a target database, where the target database includes user data updated in real time, and the user data includes features corresponding to each user and users corresponding to each feature; a second query module 520, configured to select a user with a second feature from the first target users as a second target user, where the second feature is different from the first feature; a pushing module 530, configured to push, to the second target user, content to be pushed corresponding to the second feature.

Optionally, the apparatus further includes a feature determining module, configured to determine the second feature according to a feature that is different from the first feature and corresponds to the first target user.

Optionally, the first target user includes a plurality of users, and each user corresponds to a plurality of features. The feature determination module may be configured to determine, from features corresponding to the first target user and different from the first features, a number of users in the first target user for each feature; and acquiring one or more characteristics with the maximum number of corresponding users as the second characteristics.

Optionally, the feature determining module may be configured to select, from features that are different from the first feature and correspond to the first target user, a feature that is the same as the target feature as the second feature.

Optionally, the feature determination module may be configured to select, as the second feature, a feature corresponding to the content to be pushed from features that are different from the first feature and correspond to the first target user.

Optionally, the second feature includes multiple features, and the target database includes multiple contents to be pushed. The pushing module 530 may include a content selecting unit, configured to select different contents to be pushed corresponding to the second characteristics from the contents to be pushed; and the pushing unit is used for pushing the selected content to be pushed to a second target user with corresponding second characteristics.

Optionally, the content selecting unit may be configured to determine, according to a preset corresponding relationship between the content tag and the feature, content tags corresponding to the second features, respectively; and selecting the contents to be pushed corresponding to the determined content labels as the contents to be pushed corresponding to the corresponding second characteristics respectively.

Optionally, the second query module 520 may be configured to select, according to the feature corresponding to each user, a user corresponding to the second feature from the first target users as the second target user.

Optionally, the second query module 520 may be configured to select, according to the user corresponding to each feature, a user corresponding to the second feature as a third target user; and acquiring the intersection with the first target user from the third target user to serve as the second target user.

Optionally, the apparatus may further include a data removing module, configured to search for a user with a third feature among the second target users, where the third feature is a feature that prohibits pushing content; and deleting the user with the third characteristic from the second target user to serve as the updated second user.

Optionally, the apparatus may further include a third query module configured to determine, from the first target users, users different from the second target users as fourth users; the pushing module may be further configured to push preset content to the fourth user.

Optionally, the apparatus may further include an operation data obtaining module, configured to obtain operation data of the content to be pushed, where the operation data is obtained by a second target user; and the optimization module is used for optimizing the data in the target database according to the acquired operation data.

Optionally, the optimization module may be configured to perform at least one of the following optimizations: adjusting the content to be pushed corresponding to the second characteristic according to the acquired operation data; and adjusting the user corresponding to the second characteristic according to the acquired operation data.

Optionally, the feature corresponding to each user in the target database is constructed based on the forward index; and constructing the user corresponding to each feature based on the inverted index.

Optionally, the target database is a storage engine.

Optionally, the first characteristic is a user behavior characteristic, or the second characteristic is a user behavior characteristic, where the user behavior characteristic is generated by a user operating the electronic device.

In the embodiments of the present application, different implementations of different embodiments may be combined with each other in a logical manner.

It will be clear to those skilled in the art that, for convenience and brevity of description, the various method embodiments described above may be referred to one another; for the specific working processes of the above-described devices and modules, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.

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

In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Each module may be configured in different electronic devices, or may be configured in the same electronic device, and the embodiments of the present application are not limited thereto.

Referring to fig. 6, a block diagram of a server 600 according to an embodiment of the present disclosure is shown. The electronic device may include one or more processors 610 (only one shown), memory 620, and one or more programs. Wherein the one or more programs are stored in the memory 620 and configured to be executed by the one or more processors 610. The one or more programs are executed by the processor for performing the methods described in the foregoing embodiments.

The processor 610 may include one or more processing cores. The processor 610, using various interfaces and lines to connect various parts throughout the server 600, performs various functions of the server 600 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 620 and invoking data stored in the memory 620. Alternatively, the processor 610 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 610 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 610, but may be implemented by a communication chip.

The Memory 620 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 620 may be used to store instructions, programs, code sets, or instruction sets. The memory 620 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function, instructions for implementing the various method embodiments described above, and the like. The stored data area may also store data created by the electronic device during use, and the like.

Referring to fig. 7, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable storage medium 700 has stored therein program code that can be called by a processor to execute the methods described in the above-described method embodiments.

The computer-readable storage medium 700 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer-readable storage medium 700 includes a non-volatile computer-readable storage medium. The computer readable storage medium 700 has storage space for program code 710 to perform any of the method steps of the method described above. The program code can be read from and written to one or more computer program products. The program code 710 may be compressed, for example, in a suitable form.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

A method for pushing content, the method comprising:

querying a first target user corresponding to a first feature from a target database, wherein the target database comprises user data updated in real time, and the user data comprises features corresponding to each user and users corresponding to each feature;

selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic;

and pushing the content to be pushed corresponding to the second characteristic to the second target user.
The method of claim 1, wherein prior to said selecting a user with a second characteristic from said first target users, further comprising:

and determining the second characteristic according to the characteristic which is different from the first characteristic and corresponds to the first target user.
The method of claim 2, wherein the first target user comprises a plurality of users, each user corresponding to a plurality of features, and wherein determining the second feature according to the feature corresponding to the first target user and different from the first feature comprises:

determining the number of users in the first target user corresponding to each feature from the features different from the first feature corresponding to the first target user;

and acquiring one or more characteristics with the maximum number of corresponding users as the second characteristics.
The method of claim 2, wherein the determining the second characteristic according to the characteristic corresponding to the first target user and different from the first characteristic comprises:

and selecting the feature which is the same as the target feature from the features which are different from the first feature and correspond to the first target user as the second feature.
The method of claim 2, wherein determining the second feature according to the feature corresponding to the first target user comprises:

and selecting a feature corresponding to the content to be pushed from features which are different from the first feature and correspond to the first target user as the second feature.
The method according to any one of claims 1 to 5, wherein the second feature includes a plurality of features, the target database includes a plurality of contents to be pushed, and the pushing the contents to be pushed corresponding to the second feature to the second target user includes:

selecting different contents to be pushed corresponding to second characteristics from the contents to be pushed respectively;

and pushing the selected content to be pushed to a second target user with corresponding second characteristics.
The method according to claim 6, wherein the content to be pushed corresponds to a content tag, and different contents corresponding to the second characteristics are selected from the content to be pushed, respectively, including:

determining content labels corresponding to the second characteristics respectively according to the preset corresponding relation between the content labels and the characteristics;

and selecting the contents to be pushed corresponding to the determined content labels as the contents to be pushed corresponding to the corresponding second characteristics respectively.
The method according to any one of claims 1 to 7, wherein the selecting a user with a second characteristic from the first target users as a second target user comprises:

and selecting a user corresponding to a second characteristic from the first target users as a second target user according to the characteristic corresponding to each user.
The method according to any one of claims 1-7, wherein said selecting a user with a second characteristic from said first target users as a second target user comprises:

selecting a user corresponding to the second characteristic as a third target user according to the user corresponding to each characteristic;

and acquiring the intersection with the first target user from the third target user as the second target user.
The method according to any one of claims 1 to 9, wherein after the selecting a user with a second characteristic from the first target user as a second target user and before pushing the content to be pushed corresponding to the second characteristic to the second target user, the method further comprises:

searching users with a third characteristic in the second target users, wherein the third characteristic is a characteristic of prohibiting pushing content;

and deleting the user with the third characteristic from the second target user to serve as the updated second user.
The method according to any one of claims 1-10, further comprising:

determining a user different from the second target user from the first target user as a fourth user;

and pushing preset content to the fourth user.
The method according to any one of claims 1-11, wherein after pushing the content corresponding to the second feature to the second target user, further comprising:

acquiring operation data of a second target user on the content to be pushed;

and optimizing the data in the target database according to the acquired operation data.
The method of claim 12, wherein the optimizing data in the target database according to the obtained operation data comprises at least one of:

adjusting the content to be pushed corresponding to the second characteristic according to the acquired operation data;

and adjusting the user corresponding to the second characteristic according to the acquired operation data.
The method according to any one of claims 1-13, wherein the features corresponding to each user in the target database are constructed based on a forward index; and constructing the user corresponding to each feature based on the inverted index.
The method of any one of claims 1-14, wherein the target database is a storage engine.
The method of any one of claims 1-15, wherein the first characteristic is a user behavior characteristic or the second characteristic is a user behavior characteristic, wherein the user behavior characteristic is generated by a user operating the electronic device.
A content push apparatus, characterized in that the apparatus comprises:

the system comprises a first query module, a first database and a second query module, wherein the first query module is used for querying a first target user corresponding to a first characteristic from a target database, the target database comprises user data updated in real time, and the user data comprises the characteristic corresponding to each user and the user corresponding to each characteristic;

the second query module is used for selecting a user with a second characteristic from the first target users as a second target user, wherein the second characteristic is different from the first characteristic;

and the pushing module is used for pushing the content to be pushed corresponding to the second characteristic to the second target user.
The apparatus of claim 17, further comprising:

and the characteristic determining module is used for determining the second characteristic according to the characteristic which is different from the first characteristic and corresponds to the first target user.
A server, comprising:

one or more processors;

a memory;

one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs being executed by the processors for performing the method of any of claims 1-16.
A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 16.