CN115426355A

CN115426355A - Method and device for generating push information, storage medium and electronic equipment

Info

Publication number: CN115426355A
Application number: CN202211049883.6A
Authority: CN
Inventors: 张煜; 张名伟
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2022-08-30
Filing date: 2022-08-30
Publication date: 2022-12-02

Abstract

The application discloses a method and a device for generating push information, a storage medium and electronic equipment, and relates to the field of cloud computing. The method comprises the following steps: acquiring attribute information of a user, which is sent by a client, wherein the attribute information comprises a plurality of attribute characteristics; the attribute information is sent to a cloud end, and a plurality of recommendation information sets returned by the cloud end based on the attribute information are received, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information; screening recommendation information from the recommendation information in the recommendation information sets to obtain a plurality of target recommendation information; and returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user. Through the method and the device, the problem that the user cannot quickly and conveniently acquire the required information due to excessive information in the product in the related technology is solved.

Description

Method and device for generating push information, storage medium and electronic equipment

Technical Field

The application relates to the field of cloud computing, in particular to a method and a device for generating push information, a storage medium and electronic equipment.

Background

As users using financial services increase, the types of users increase, and in order to meet the requirements of users of different types when using financial services, functional information and product information of financial services, such as applet information or product introduction information, are required to be enriched, so as to improve the quality of financial services.

However, as the function information of the financial service product is more and more, the covered service range is continuously enlarged, and the product information to be promoted is gradually increased, so that the complexity of the user side when using the financial service product is also increased, the product usability is reduced, and further, although the information of the financial service product is very rich, the user is difficult to or cannot find the information capable of solving the service requirement of the user.

Aiming at the problem that a user cannot quickly and conveniently acquire required information due to excessive information in products in the related technology, an effective solution is not provided at present.

Disclosure of Invention

The application provides a method and a device for generating push information, a storage medium and electronic equipment, which are used for solving the problem that a user cannot quickly and conveniently acquire required information due to excessive information in products in the related technology.

According to one aspect of the application, a method for generating push information is provided. The method comprises the following steps: acquiring attribute information of a user, which is sent by a client, wherein the attribute information comprises a plurality of attribute characteristics; the attribute information is sent to a cloud end, and a plurality of recommendation information sets returned by the cloud end based on the attribute information are received, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information; screening recommendation information from recommendation information in a plurality of recommendation information sets to obtain a plurality of target recommendation information; and returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user.

Optionally, the screening recommendation information from the plurality of recommendation information sets, and the obtaining a plurality of target recommendation information includes: acquiring recommendation information existing in each recommendation information set to obtain candidate recommendation information; judging whether the number of the candidate recommendation information is larger than a preset number or not; determining the candidate recommendation information as target recommendation information under the condition that the number of the candidate recommendation information is greater than or equal to a preset number; the method comprises the steps of acquiring a plurality of pieces of preset recommendation information from a cloud under the condition that the number of the candidate recommendation information is smaller than the preset number, determining the plurality of pieces of preset recommendation information and the plurality of pieces of candidate recommendation information as a plurality of pieces of target recommendation information, wherein the sum of the number of the preset recommendation information and the number of the candidate recommendation information is equal to the preset number, and the preset recommendation information is general recommendation information stored in the cloud.

Optionally, after obtaining the attribute information of the user sent by the client, the method further includes: judging whether a target feature exists in the multiple attribute features; and under the condition that the target features exist in the multiple attribute features, acquiring recommendation information corresponding to the target features from the server, and sending the recommendation information corresponding to the target features to the client as the target recommendation information, wherein the server stores the multiple target features and the recommendation information corresponding to each target feature.

Optionally, before sending recommendation information corresponding to the target feature to the client as target recommendation information, the method further includes: determining effective time and calling time of recommendation information corresponding to the target features, wherein the calling time is the time when the recommendation information is called; judging whether the calling time is greater than the effective time; under the condition that the calling time is less than or equal to the effective time, executing a step of sending recommendation information corresponding to the target characteristics as target recommendation information to the client; and under the condition that the calling time is longer than the effective time, executing the steps of sending the attribute information to the cloud end and receiving a recommendation information set corresponding to each attribute feature returned by the cloud end.

According to another aspect of the application, a method for generating push information is provided. The method comprises the following steps: acquiring attribute information of a user, and sending the attribute information to a server, wherein the attribute information comprises a plurality of attribute characteristics; receiving a plurality of target recommendation information returned by a server, wherein the target recommendation information is obtained by screening a plurality of recommendation information sets by the server, each recommendation information set comprises a plurality of recommendation information, and the recommendation information sets are obtained by the server from a cloud according to attribute information; and combining the plurality of target recommendation information with the display style to obtain the information to be pushed of the user.

Optionally, the attribute characteristics include user age, user region, and before combining the plurality of target recommendation information with the display style, the method further includes: acquiring size information corresponding to user ages from a first comparison table, wherein the size information at least comprises font sizes, icon sizes and display area sizes, the first comparison table comprises a plurality of user ages and size information corresponding to each user age, and the first comparison table is stored in a client; and acquiring language information corresponding to the user areas from a second comparison table, and generating a display style according to the size information and the language information, wherein the second comparison table comprises a plurality of user areas and the language information corresponding to each user area, and the second comparison table is stored in the client.

Optionally, the combining the plurality of target recommendation information and the display style comprises: acquiring the quantity of recommended information contained in a display style to obtain a first quantity; determining the quantity of a plurality of target recommendation information to obtain a second quantity; judging whether the second number is larger than the first number; under the condition that the second quantity is larger than the first quantity, selecting the first quantity of target recommendation information from the plurality of target recommendation information to obtain the information to be pushed of the user; and/or under the condition that the second quantity is larger than the first quantity, displaying the plurality of target recommendation information, receiving feedback information of the user, and determining information to be pushed of the user from the target recommendation information according to the feedback information, wherein the feedback information is used for determining the information to be pushed, which is interesting to the user; and under the condition that the second number is smaller than or equal to the first number, determining the target recommendation information as the information to be pushed of the user.

Optionally, after obtaining the attribute information of the user, the method further includes: judging whether historical information to be pushed corresponding to the attribute information exists in the client; determining the historical information to be pushed as the information to be pushed of the user under the condition that the historical information to be pushed corresponding to the attribute information exists; and under the condition that the historical information to be pushed corresponding to the attribute information does not exist, executing the step of sending the attribute information to the server.

Optionally, after the multiple pieces of target recommendation information are combined with the display style to obtain the to-be-pushed information of the user, the method further includes: and storing the information to be pushed of the user and the attribute information into the client to obtain historical information to be pushed corresponding to the attribute information.

According to another aspect of the present application, a generation apparatus of push information is provided. The device comprises: the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring attribute information of a user sent by a client, and the attribute information comprises a plurality of attribute characteristics; the first sending unit is used for sending the attribute information to a cloud end and receiving a plurality of recommendation information sets returned by the cloud end based on the attribute information, wherein the cloud end obtains the plurality of recommendation information corresponding to each attribute feature to obtain the recommendation information set of each attribute feature, and each recommendation information set comprises the plurality of recommendation information; the screening unit is used for screening recommendation information from the recommendation information in the recommendation information sets to obtain a plurality of target recommendation information; and the return unit is used for returning the plurality of target recommendation information to the client, and combining the plurality of target recommendation information with the display style through the client to obtain the information to be pushed of the user.

According to another aspect of the present application, a generation apparatus of push information is provided. The device includes: the second acquisition unit is used for acquiring the attribute information of the user and sending the attribute information to the server; the receiving unit is used for receiving a plurality of target recommendation information returned by the server, wherein the target recommendation information is obtained by screening a plurality of recommendation information sets by the server, each recommendation information set comprises a plurality of recommendation information, and the recommendation information sets are obtained by the server from a cloud according to the attribute information; and the combining unit is used for combining the plurality of target recommendation information with the display style to obtain the information to be pushed of the user.

According to another aspect of the embodiments of the present invention, a computer storage medium is further provided, where the computer storage medium is used to store a program, and the program, when running, controls a device in which the computer storage medium is located to execute a method for generating push information.

According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including one or more processors and a memory; the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, where the computer readable instructions execute a method for generating push information.

By the application, the following steps are adopted: acquiring attribute information of a user, which is sent by a client, wherein the attribute information comprises a plurality of attribute characteristics; the attribute information is sent to a cloud end, and a plurality of recommendation information sets returned by the cloud end based on the attribute information are received, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information; screening recommendation information from the recommendation information in the recommendation information sets to obtain a plurality of target recommendation information; and returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user. The problem of in the correlation technique product information too much, lead to the unable quick convenient required information of acquireing of user is solved. After the recommendation information corresponding to the attribute information is obtained from the cloud side through the server side, the recommendation information is screened, so that target recommendation information corresponding to the user is obtained, the target recommendation information is combined with the display style, and therefore the effects that the functions required by the user are quickly and accurately obtained, and the functions are pushed to the client side are achieved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application, and the description of the exemplary embodiments of the application are intended to be illustrative of the application and are not intended to limit the application. In the drawings:

fig. 1 is a flowchart of a method for generating push information according to an embodiment of the present application;

fig. 2 is a flowchart of another generation method of push information according to an embodiment of the present application;

fig. 3 is a flowchart of an alternative push information generation method provided according to an embodiment of the present application;

fig. 4 is a schematic diagram of a push information generating apparatus according to an embodiment of the present application;

fig. 5 is a schematic diagram of another apparatus for generating push information according to an embodiment of the present application;

fig. 6 is a schematic diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

In order to make the technical solutions of the present application 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, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the application herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be noted that relevant information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for presentation, analyzed data, etc.) referred to in the present disclosure are information and data that are authorized by the user or sufficiently authorized by various parties. For example, an interface is provided between the system and the relevant user or organization, before obtaining the relevant information, an obtaining request needs to be sent to the user or organization through the interface, and after receiving the consent information fed back by the user or organization, the relevant information is obtained.

The method, the apparatus, the storage medium, and the electronic device for generating push information determined in the present disclosure may be used in the cloud computing field, and may also be used in any field other than the cloud computing field.

According to an embodiment of the application, a method for generating push information is provided.

Fig. 1 is a flowchart of a push information generation method provided in an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:

step S101, acquiring attribute information of a user sent by a client, wherein the attribute information comprises a plurality of attribute characteristics.

Specifically, the client may be an application corresponding to a financial service product, and when a user uses the financial service product, the user usually needs to log in the client of the product on the electronic terminal, for example, log in the application on a mobile phone. After logging in, the client of the financial service product sends the attribute information of the user to the server of the financial service product, so that the recommendation information corresponding to the user is obtained through the server, wherein the attribute information comprises a plurality of attribute features, such as user gender, user age group, user region and the like, which are all attribute features.

Step S102, sending the attribute information to a cloud end, and receiving a plurality of recommendation information sets returned by the cloud end based on the attribute information, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information.

Specifically, after the attribute information of the user is obtained, the server sends the attribute information to a cloud end connected to the server, a plurality of pieces of recommendation information corresponding to each attribute feature are stored in the cloud end, and after the attribute information is sent to the cloud end, the plurality of pieces of recommendation information corresponding to each attribute feature are obtained through the cloud end, so that a recommendation information set of each attribute feature is obtained.

It should be noted that the recommendation information may be a function program used by the user, or may also be a push message recommended to the user, for example, the function program may be: deposit, withdraw money, inquire, push message can be news, latest information, etc.

For example, the attribute information may include: gender of the user: male, user age group: age 16-25, user region: in china, the cloud will obtain the gender of the user from the historical database: all recommendation information corresponding to the male, and according to the using condition, the top 30 recommendation information which is used most is used as a plurality of recommendation information corresponding to the gender of the user. Similarly, the cloud end respectively acquires the age groups of the users from the historical database: age 16-25, user area: and (4) a plurality of pieces of recommendation information corresponding to China, and returning the recommendation information sets with the three attribute characteristics to the client.

Step S103, selecting recommendation information from recommendation information in the recommendation information sets to obtain a plurality of target recommendation information.

Specifically, after receiving a plurality of recommendation information sets, the client needs to obtain recommendation information with the highest matching degree with the user from the plurality of recommendation information sets as the target recommendation information because a large amount of recommendation information exists in the plurality of recommendation information sets.

For example, 30 pieces of recommendation information having the highest frequency of occurrence may be acquired from the large amount of recommendation information as the target recommendation information, thereby acquiring information most suitable for the user from the large amount of recommendation information.

And step S104, returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user.

Specifically, after the plurality of pieces of target recommendation information are obtained, the target recommendation information needs to be sent to the client, and is combined with the display style selected by the client in the client, so that the information to be pushed of the user is obtained, and the information to be pushed is displayed at the client.

It should be noted that the display style may be a display manner of a plurality of target recommendation information determined by the client, for example: the target recommendation information comprises information such as icon size, font size and font style, so that the target recommendation information can be displayed for a user in a mode more suitable for the user, information or function pushing is accurately carried out on the user, and the use experience of the user on products is improved.

According to the generation method of the push information provided by the embodiment of the application, the attribute information of the user sent by the client is obtained, wherein the attribute information comprises a plurality of attribute characteristics; the attribute information is sent to a cloud end, and a plurality of recommendation information sets returned by the cloud end based on the attribute information are received, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information; screening recommendation information from the recommendation information in the recommendation information sets to obtain a plurality of target recommendation information; and returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user. The problem of in the correlation technique product information too much, lead to the unable quick convenient required information of acquireing of user is solved. After the recommendation information corresponding to the attribute information is obtained from the cloud side through the server side, the recommendation information is screened, so that target recommendation information corresponding to the user is obtained, the target recommendation information is combined with the display style, and therefore the effects that the functions required by the user are quickly and accurately obtained, and the functions are pushed to the client side are achieved.

Optionally, in the method for generating push information provided in the embodiment of the present application, the screening recommendation information from a plurality of recommendation information sets to obtain a plurality of target recommendation information includes: acquiring recommendation information existing in each recommendation information set to obtain candidate recommendation information; judging whether the number of the candidate recommendation information is larger than a preset number or not; determining the candidate recommendation information as target recommendation information under the condition that the number of the candidate recommendation information is greater than or equal to a preset number; the method comprises the steps of acquiring a plurality of pieces of preset recommendation information from a cloud under the condition that the number of the candidate recommendation information is smaller than the preset number, determining the plurality of pieces of preset recommendation information and the plurality of pieces of candidate recommendation information as a plurality of pieces of target recommendation information, wherein the sum of the number of the preset recommendation information and the number of the candidate recommendation information is equal to the preset number, and the preset recommendation information is general recommendation information stored in the cloud.

Specifically, when the target recommendation information is determined from a large amount of recommendation information included in a plurality of recommendation information sets, the candidate recommendation information may be obtained from recommendation information existing in each recommendation information set.

For example, table 1 is an optional recommendation information set table, as shown in table 1, each attribute feature of the user corresponds to one recommendation list, each recommendation list is a recommendation information set, an intersection in multiple recommendation lists may be obtained, that is, functions existing in each recommendation list, that is, "account list" and "transfer remittance" in table 1 may be obtained, and then the "account list" and the "transfer remittance" may be determined as candidate recommendation information.

TABLE 1

Attribute features	Recommendation list (sorting in positive order according to usage)
		Province A	{ "account list","transfer remittance", "housing loan", "financial service", "
For male	{ "Account List", "transfer money", "frequent Payment", "investment financing",
		15-20	{ "Account List", "frequent Payment", "transfer money", "campus specials",

further, after the target recommendation information is obtained, the number of the candidate recommendation information needs to be obtained, and the number is compared with a preset number, so that whether enough target recommendation information exists is determined, and when the number of the candidate recommendation information is larger than or equal to the preset number, the target recommendation information is enough, so that the candidate recommendation information can be determined as the target recommendation information. Under the condition that the number of the candidate recommendation information is smaller than the preset number, it is indicated that after the candidate recommendation information is determined as the target recommendation information, the number of the target recommendation information is too small, and therefore a certain number of preset recommendation information needs to be acquired from the cloud, so that the sum of the number of the preset recommendation information and the number of the candidate recommendation information is equal to the preset number, the preset recommendation information is determined as the target recommendation information, and the difference value of the target recommendation information is filled up through the preset recommendation information.

It should be noted that the preset recommendation information is recommendation information stored in the cloud, which is ranked at the top after all recommendation information is sorted according to usage amount, and the preset recommendation information can be selected in sequence from large to small according to the usage amount until the sum of the number of the preset recommendation information and the number of the candidate recommendation information is equal to the preset number.

Optionally, in the method for generating push information provided in the embodiment of the present application, after obtaining the attribute information of the user sent by the client, the method further includes: judging whether a target feature exists in the multiple attribute features; and under the condition that the target features exist in the attribute features, acquiring recommendation information corresponding to the target features from the server, and sending the recommendation information corresponding to the target features to the client as target recommendation information, wherein the server stores the target features and the recommendation information corresponding to each target feature.

Specifically, after the server acquires the attribute information of the user, it may first determine whether a target feature exists in a plurality of attribute features in the attribute information, where the target feature is an attribute feature that satisfies a specific condition, for example, if one attribute feature in the attribute information of the user a is older than 70 years, it is determined that the user has the target feature (older than 70 years).

Further, in the case that it is determined that the attribute features include the target feature, recommendation information corresponding to the target feature may be directly used as the target recommendation information in the memory of the server. For example, when one attribute feature in the attribute information of the user a is older than 70 years, and the condition of "old version" is satisfied, the target feature information corresponding to the old version is directly returned to the client, so that the acquisition and screening of recommendation information from the network disk are not needed, and the effect of improving the information recommendation speed and efficiency is achieved.

Optionally, in the method for generating push information provided in the embodiment of the present application, before sending, to the client, recommendation information corresponding to the target feature as target recommendation information, the method further includes: determining effective time and calling time of recommendation information corresponding to the target feature, wherein the calling time is the time when the recommendation information is called; judging whether the calling time is greater than the effective time; under the condition that the calling time is less than or equal to the effective time, executing a step of sending recommendation information corresponding to the target characteristics as target recommendation information to the client; and under the condition that the calling time is longer than the effective time, the steps of sending the attribute information to the cloud end and receiving a recommendation information set corresponding to each attribute feature returned by the cloud end are executed.

Specifically, when the recommendation information corresponding to the target feature is returned to the client, it is required to determine whether the recommendation information is expired. Firstly, the valid time of the recommendation information corresponding to the target feature is obtained, wherein the valid time is the valid period of the recommendation information, and then the calling time of the recommendation information corresponding to the target feature is obtained, namely the calling time of the recommendation information is called from a memory before the recommendation information corresponding to the target feature is returned to the client.

Further, it is determined whether the call time is greater than the validity time, that is, it is determined whether the call time exceeds the validity period. Since the call time and the validity period are recorded in the memory in binary or octal form, the judgment as to whether the call time exceeds the validity period can be made by comparing the magnitudes of the values. And under the condition that the calling time exceeds the effective time, the recommendation information corresponding to the target characteristic is proved to be overdue, and the staff is required to refresh authentication or re-upload the recommendation information corresponding to the target characteristic, so that the accuracy of the recommendation information is ensured.

According to an embodiment of the present application, another method for generating push information is provided.

Fig. 2 is a flowchart of another generation method of push information according to an embodiment of the present application. As shown in fig. 2, the method comprises the steps of:

step S201, obtaining attribute information of a user, and sending the attribute information to a server, where the attribute information includes multiple attribute features.

Specifically, after the user logs in, the client of the financial service product can acquire the attribute information of the user and send the attribute information to the server, so that the server acquires the push information pushed to the user.

Step S202, a plurality of target recommendation information returned by the server are received, wherein the target recommendation information is obtained by the server through screening from a plurality of recommendation information sets, each recommendation information set comprises a plurality of recommendation information, and the recommendation information sets are obtained by the server from a cloud according to the attribute information.

Specifically, after the client sends the attribute information to the server, the server obtains recommendation information corresponding to each attribute feature from the cloud through a plurality of attribute features in the attribute information, and determines target recommendation information from the recommendation information and returns the target recommendation information to the client.

It should be noted that the recommendation information may be a function program used by the user, or may also be a push message of the recommended user, for example, the function program may be: deposit, withdraw money, inquire, push message can be news, latest information, etc.

For example, the attribute information may include: the gender of the user: male, user age group: age 16-25, user area: in china, the cloud will obtain the gender of the user from the historical database: and all recommendation information corresponding to the male, wherein the first 30 pieces of recommendation information which are used most are used as a plurality of pieces of recommendation information corresponding to the gender of the user according to the use condition. Similarly, the cloud end respectively obtains the user age groups from the historical database: age 16-25, user area: and (4) a plurality of pieces of recommendation information corresponding to China, and returning the recommendation information sets with the three attribute characteristics to the client.

After the client receives the multiple recommendation information sets, because a large amount of recommendation information exists in the multiple recommendation information sets, recommendation information with the highest matching degree with the user needs to be obtained from the multiple recommendation information sets as target recommendation information.

Step S203, combining the plurality of target recommendation information with the display style to obtain the information to be pushed of the user.

Specifically, after the client obtains the plurality of pieces of target recommendation information, the plurality of pieces of target recommendation information need to be combined with the display style selected by the client, so that the information to be pushed of the user is obtained, and the information to be pushed is displayed at the client.

According to the generation method of the push information, the attribute information of the user is obtained and sent to the server side, wherein the attribute information comprises a plurality of attribute characteristics; receiving a plurality of target recommendation information returned by a server, wherein the target recommendation information is obtained by screening a plurality of recommendation information sets by the server, each recommendation information set comprises a plurality of recommendation information, and the recommendation information sets are obtained by the server from a cloud according to attribute information; and combining the plurality of target recommendation information with the display style to obtain the information to be pushed of the user. The problem of in the correlation technique product information too much, lead to the unable quick convenient required information of acquireing of user is solved. After the recommendation information corresponding to the attribute information is obtained from the cloud side through the server side, the recommendation information is screened, so that target recommendation information corresponding to the user is obtained, the target recommendation information is combined with the display style, and therefore the effects that the functions required by the user are quickly and accurately obtained, and the functions are pushed to the client side are achieved.

Optionally, in the method for generating push information provided in this embodiment of the present application, the attribute characteristics include a user age and a user area, and before combining the plurality of pieces of target recommendation information with the display style, the method further includes: acquiring size information corresponding to user ages from a first comparison table, wherein the size information at least comprises font sizes, icon sizes and display area sizes, the first comparison table comprises a plurality of user ages and size information corresponding to each user age, and the first comparison table is stored in a client; and acquiring language information corresponding to the user areas from a second comparison table, and generating a display style according to the size information and the language information, wherein the second comparison table comprises a plurality of user areas and the language information corresponding to each user area, and the second comparison table is stored in the client.

Specifically, when the client determines the display style, the display style of the user may be generated according to a part of attribute features in the attribute information of the user. First, size information corresponding to the user age may be determined from the first comparison table by the user age, wherein the size information may include a font size, an icon size, and a display area size. The first lookup table may include information such as icon size, font style and the like corresponding to each age group, for example, when the user ages older, the size of the content to be displayed may be increased, and when the user ages younger, the font style may be set to the special effect font and the like.

After the size information is determined, the language information may also be determined according to the area of the user, for example, if the user area is chinese, the language information is determined to be chinese from the second comparison table. After the size information and the language information are determined, a display style corresponding to the user can be generated, and the information to be pushed of the user is generated through the display style and the target recommendation information.

Optionally, in the method for generating push information provided in the embodiment of the present application, combining a plurality of target recommendation information with a display style includes: acquiring the quantity of recommended information contained in a display style to obtain a first quantity; determining the quantity of a plurality of target recommendation information to obtain a second quantity; judging whether the second number is larger than the first number; under the condition that the second quantity is larger than the first quantity, selecting the first quantity of target recommendation information from the plurality of target recommendation information to obtain the information to be pushed of the user; and/or under the condition that the second quantity is larger than the first quantity, displaying the plurality of target recommendation information, receiving feedback information of the user, and determining information to be pushed of the user from the target recommendation information according to the feedback information, wherein the feedback information is used for determining the information to be pushed, which is interesting to the user; and under the condition that the second number is smaller than or equal to the first number, determining the target recommendation information as the information to be pushed of the user.

Specifically, after the display style of the client is determined, because the size information of each display style is different, the content that can be displayed is also different under the condition that the screen size is the same, and therefore, in order for the user to have better use experience, the number of recommended information that can be accommodated by the display style needs to be determined, and the first number is obtained.

After the first quantity is obtained, the quantity of the plurality of target recommendation information can be determined, a second quantity is obtained, and the size relation between the first quantity and the second quantity is judged. When the first number is equal to or greater than the second number, it indicates that all the target recommendation information can be displayed in the display style, and therefore, the target recommendation information can be directly displayed. It should be noted that, on this basis, the preset recommendation information acquired from the cloud via the server may be reproduced, so as to fill up the quantity difference between the first quantity and the second quantity, and make the sum of the preset recommendation information and the target recommendation information equal to the first quantity.

Further, in a case where the second number is greater than the second number, since the number of the target recommendation information is greater than the tolerable number of the display styles, the target recommendation information needs to be reduced so that the client can normally display the target recommendation information.

The target recommendation information can be reduced by two methods, one of which is: randomly selecting a first amount of target recommendation information from the target recommendation information, and combining the first amount of target recommendation information with the display style to obtain information to be pushed; the other method comprises the following steps: and all the target recommendation information is displayed, feedback information of the user is received, the feedback information comprises information which the user wants to display and information which the user wants to delete, a first amount of target recommendation information is obtained from the plurality of target recommendation information through interaction with the user, and the first amount of target recommendation information is combined with the display style to obtain information to be pushed. According to the embodiment, the target recommendation information is adapted to the display style, so that the use experience of the user is improved.

Optionally, in the method for generating push information provided in the embodiment of the present application, after obtaining the attribute information of the user, the method further includes: judging whether historical information to be pushed corresponding to the attribute information exists in the client; determining the historical information to be pushed as the information to be pushed of the user under the condition that the historical information to be pushed corresponding to the attribute information exists; and under the condition that the history information to be pushed corresponding to the attribute information does not exist, executing the step of sending the attribute information to the server.

Specifically, after the attribute information of the user is obtained, whether the historical push information corresponding to the attribute information of the user exists or not can be determined in the client, and the historical recommendation information is directly recommended to the user as the information to be recommended under the condition that the historical push information exists, so that the recommendation efficiency of the recommendation information is improved.

Optionally, in the method for generating push information provided in the embodiment of the present application, after combining multiple pieces of target recommendation information with a display style to obtain information to be pushed of a user, the method further includes: and storing the information to be pushed of the user and the attribute information into the client to obtain historical information to be pushed corresponding to the attribute information.

Specifically, under the condition that the historical push information corresponding to the attribute information of the user does not exist in the client, the information to be pushed of the user and the attribute information can be stored in the client after the information to be pushed of the user is obtained, so that the historical information to be pushed corresponding to the attribute information is generated, the client can directly feed back the information through the client when receiving the attribute information next time, the feedback through the server is not needed, a foundation is laid for subsequent high-efficiency feedback, the historical information to be pushed does not correspond to the user, the historical information to be pushed can be recommended to different users with the same attribute information, and the storage content in the client is reduced.

Fig. 3 is a flowchart of a method for generating optional push information according to an embodiment of the present application, and as shown in fig. 3, a user first needs to log in a client of the product on an electronic terminal, at this time, the client obtains attribute information of the user and determines whether there is historical information to be pushed corresponding to the attribute information in the client, and in a case that there is historical information to be pushed, the historical information to be pushed is directly determined as the information to be pushed of the user.

The method comprises the steps that attribute information is sent to a server side under the condition that historical information to be pushed does not exist, the server side determines whether target characteristics exist in a plurality of attribute characteristics in the attribute information or not after acquiring the attribute information, and acquires target recommendation information corresponding to the target characteristics from a storage of the server side under the condition that the target characteristics exist, and returns the target recommendation information to a user side. Under the condition that the target characteristics do not exist, the server side needs to send the attribute information to the cloud side, acquire a recommendation information set corresponding to each attribute characteristic from the cloud side, and further acquire a plurality of recommendation information with the highest occurrence frequency from the recommendation information sets to serve as target recommendation information, or acquire recommendation information existing in each recommendation information set to serve as target recommendation information.

After the target recommendation information is obtained, the server side is required to send the target recommendation information to the client side, and the target recommendation information is combined with the display style in the client side, so that information to be recommended of a user is obtained, wherein in the combination process, part of the target recommendation information needs to be deleted according to the display style, so that the target recommendation information can be displayed for the user in a mode more suitable for the user, and the use experience of the user on products is improved while information or functions are accurately pushed to the user.

It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.

The embodiment of the present application further provides a device for generating push information, and it should be noted that the device for generating push information according to the embodiment of the present application may be used to execute the method for generating push information according to the embodiment of the present application. The following describes a device for generating push information according to an embodiment of the present application.

Fig. 4 is a schematic diagram of an apparatus for generating push information according to an embodiment of the present application, and as shown in fig. 4, the apparatus includes: a first acquiring unit 41, a first sending unit 42, a screening unit 43, and a returning unit 44.

Specifically, the first obtaining unit 41 is configured to obtain attribute information of the user sent by the client, where the attribute information includes a plurality of attribute features.

The first sending unit 42 is configured to send the attribute information to a cloud, and receive multiple recommendation information sets returned by the cloud based on the attribute information, where the cloud obtains multiple recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set includes multiple recommendation information.

The filtering unit 43 is configured to filter recommendation information from recommendation information in the recommendation information sets to obtain a plurality of target recommendation information.

And the returning unit 44 is configured to return the plurality of pieces of target recommendation information to the client, and combine the plurality of pieces of target recommendation information with the display style through the client to obtain the to-be-pushed information of the user.

The apparatus for generating push information provided in the embodiment of the present application acquires, by using a first acquiring unit 41, attribute information of a user sent by a client, where the attribute information includes multiple attribute features; the first sending unit 42 sends the attribute information to the cloud, and receives a plurality of recommendation information sets returned by the cloud based on the attribute information, wherein the cloud obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information; the screening unit 43 screens recommendation information from recommendation information in the recommendation information sets to obtain a plurality of target recommendation information; the returning unit 44 returns the plurality of pieces of target recommendation information to the client, and combines the plurality of pieces of target recommendation information with the display style through the client to obtain the to-be-pushed information of the user. The problem of the information in the product is too much among the correlation technique, lead to the unable convenient required information of acquireing of user fast is solved. After the recommendation information corresponding to the attribute information is obtained from the cloud side through the server side, the recommendation information is screened, so that target recommendation information corresponding to the user is obtained, the target recommendation information is combined with the display style, and therefore the effects that the functions required by the user are quickly and accurately obtained, and the functions are pushed to the client side are achieved.

Optionally, in the apparatus for generating push information provided in the embodiment of the present application, the screening unit 43 includes: the first acquisition module is used for acquiring recommendation information existing in each recommendation information set to obtain candidate recommendation information; the first judgment module is used for judging whether the number of the candidate recommendation information is larger than a preset number or not; the first determining module is used for determining the candidate recommendation information as the target recommendation information under the condition that the number of the candidate recommendation information is larger than or equal to the preset number; the second determining module is used for acquiring a plurality of pieces of preset recommendation information from the cloud under the condition that the number of the candidate recommendation information is smaller than the preset number, and determining the plurality of pieces of preset recommendation information and the plurality of pieces of candidate recommendation information as a plurality of pieces of target recommendation information, wherein the sum of the number of the preset recommendation information and the number of the candidate recommendation information is equal to the preset number, and the preset recommendation information is general recommendation information stored in the cloud.

Optionally, in the apparatus for generating push information provided in the embodiment of the present application, the apparatus further includes: a first judging unit configured to judge whether or not a target feature exists in the plurality of attribute features; and the second sending unit is used for acquiring recommendation information corresponding to the target features from the server under the condition that the target features exist in the attribute features, and sending the recommendation information corresponding to the target features to the client as the target recommendation information, wherein the server stores the target features and the recommendation information corresponding to each target feature.

Optionally, in the apparatus for generating push information provided in the embodiment of the present application, the apparatus further includes: the first determining unit is used for determining the effective time and calling time of the recommendation information corresponding to the target feature, wherein the calling time is the time when the recommendation information is called; the second judging unit is used for judging whether the calling time is greater than the effective time; the first execution unit is used for executing the step of sending the recommendation information corresponding to the target characteristics as target recommendation information to the client under the condition that the calling time is less than or equal to the effective time; and the second execution unit is used for sending the attribute information to the cloud terminal and receiving a recommendation information set corresponding to each attribute feature returned by the cloud terminal under the condition that the calling time is greater than the effective time.

The embodiment of the present application further provides a device for generating push information, and it should be noted that the device for generating push information according to the embodiment of the present application may be used to execute the method for generating push information according to the embodiment of the present application. The following describes a push information generation apparatus according to an embodiment of the present application.

Fig. 5 is a schematic diagram of another apparatus for generating push information according to an embodiment of the present application, and as shown in fig. 5, the apparatus includes: a second acquiring unit 51, a receiving unit 52, and a combining unit 53.

Specifically, the second obtaining unit 51 is configured to obtain attribute information of the user, and send the attribute information to the server.

The receiving unit 52 is configured to receive a plurality of target recommendation information returned by the server, where the plurality of target recommendation information are obtained by the server through screening from a plurality of recommendation information sets, each recommendation information set includes a plurality of recommendation information, and the plurality of recommendation information sets are obtained by the server from a cloud according to the attribute information.

The combining unit 53 is configured to combine the plurality of target recommendation information with the display style to obtain information to be pushed by the user.

The apparatus for generating push information provided in the embodiment of the present application acquires attribute information of a user through the second acquiring unit 51, and sends the attribute information to a server; the receiving unit 52 receives a plurality of target recommendation information returned by the server, wherein the plurality of target recommendation information are obtained by the server through screening from a plurality of recommendation information sets, each recommendation information set comprises a plurality of recommendation information, and the plurality of recommendation information sets are obtained by the server from a cloud according to the attribute information; the combining unit 53 combines the plurality of pieces of target recommendation information with the display style to obtain the information to be pushed of the user. The problem of in the correlation technique product information too much, lead to the unable quick convenient required information of acquireing of user is solved. After the recommendation information corresponding to the attribute information is acquired from the cloud end through the server, the recommendation information is screened, so that target recommendation information corresponding to the user is obtained, the target recommendation information is combined with the display style, and therefore the effects of quickly and accurately acquiring the functions required by the user and pushing the functions to the client are achieved.

Optionally, in the apparatus for generating push information provided in this embodiment of the present application, the attribute characteristics include a user age and a user area, and the apparatus further includes: a third obtaining unit, configured to obtain size information corresponding to the user ages from a first lookup table, where the size information includes at least a font size, an icon size, and a display area size, the first lookup table includes a plurality of user ages and size information corresponding to each user age, and the first lookup table is stored in the client; and the fourth acquisition unit is used for acquiring the language information corresponding to the user areas from a second comparison table, and generating a display style according to the size information and the language information, wherein the second comparison table comprises a plurality of user areas and the language information corresponding to each user area, and the second comparison table is stored in the client.

Optionally, in the apparatus for generating push information provided in the embodiment of the present application, the combining unit 53 includes: the second acquisition module is used for acquiring the quantity of the recommendation information contained in the display style to obtain a first quantity; the third determining module is used for determining the quantity of the plurality of target recommendation information to obtain a second quantity; the second judging module is used for judging whether the second number is larger than the first number or not; the selection module is used for selecting the first quantity of target recommendation information from the plurality of target recommendation information to obtain the information to be pushed of the user under the condition that the second quantity is larger than the first quantity; and/or a fourth determining module, configured to display the multiple pieces of target recommendation information, receive feedback information of the user, and determine information to be pushed of the user from the target recommendation information according to the feedback information, where the feedback information is used to determine information to be pushed, which is interesting to the user; and the fifth determining module is used for determining the plurality of target recommendation information as the information to be pushed of the user under the condition that the second number is less than or equal to the first number.

Optionally, in the apparatus for generating push information provided in the embodiment of the present application, the apparatus further includes: the third judging unit is used for judging whether historical information to be pushed corresponding to the attribute information exists in the client; the second determining unit is used for determining the historical information to be pushed as the information to be pushed of the user under the condition that the historical information to be pushed corresponding to the attribute information exists; and the third execution unit is used for executing the step of sending the attribute information to the server under the condition that the history information to be pushed corresponding to the attribute information does not exist.

Optionally, in the apparatus for generating push information provided in the embodiment of the present application, the apparatus further includes: and the storage unit is used for storing the information to be pushed of the user and the attribute information into the client to obtain historical information to be pushed corresponding to the attribute information.

The apparatus for generating push information includes a processor and a memory, where the first acquiring unit 41, the first sending unit 42, the filtering unit 43, the returning unit 44, the second acquiring unit 51, the receiving unit 52, the combining unit 53, and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.

The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problem that a user cannot quickly and conveniently acquire required information due to excessive information in products in the related technology is solved by adjusting kernel parameters.

The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.

An embodiment of the present invention provides a computer-readable storage medium, on which a program is stored, where the program, when executed by a processor, implements the method for generating push information.

The embodiment of the invention provides a processor, which is used for running a program, wherein the generation method of push information is executed when the program runs.

As shown in fig. 6, an electronic device 60 according to an embodiment of the present invention includes a processor, a memory, and a program stored in the memory and executable on the processor, where the processor executes the program to implement the following steps: acquiring attribute information of a user, which is sent by a client, wherein the attribute information comprises a plurality of attribute characteristics; the attribute information is sent to a cloud end, and a plurality of recommendation information sets returned by the cloud end based on the attribute information are received, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information; screening recommendation information from the recommendation information in the recommendation information sets to obtain a plurality of target recommendation information; and returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user. The device herein may be a server, a PC, a PAD, a mobile phone, etc.

The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring attribute information of a user, which is sent by a client, wherein the attribute information comprises a plurality of attribute characteristics; the attribute information is sent to a cloud end, and a plurality of recommendation information sets returned by the cloud end based on the attribute information are received, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information; screening recommendation information from recommendation information in a plurality of recommendation information sets to obtain a plurality of target recommendation information; and returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.

Claims

1. A method for generating push information is characterized by comprising the following steps:

acquiring attribute information of a user, which is sent by a client, wherein the attribute information comprises a plurality of attribute characteristics;

sending the attribute information to a cloud end, and receiving a plurality of recommendation information sets returned by the cloud end based on the attribute information, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information;

screening recommendation information from the recommendation information in the recommendation information sets to obtain a plurality of target recommendation information;

and returning the target recommendation information to the client, and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user.

2. The method of claim 1, wherein filtering the recommendation information from the plurality of recommendation information sets to obtain a plurality of target recommendation information comprises:

acquiring recommendation information existing in each recommendation information set to obtain candidate recommendation information;

judging whether the number of the candidate recommendation information is larger than a preset number or not;

determining the candidate recommendation information as the target recommendation information under the condition that the number of the candidate recommendation information is greater than or equal to a preset number;

and under the condition that the number of the candidate recommendation information is smaller than the preset number, acquiring a plurality of preset recommendation information from the cloud, and determining the plurality of preset recommendation information and the plurality of candidate recommendation information as the plurality of target recommendation information, wherein the sum of the number of the preset recommendation information and the number of the candidate recommendation information is equal to the preset number, and the preset recommendation information is general recommendation information stored in the cloud.

3. The method according to claim 1, wherein after obtaining the attribute information of the user sent by the client, the method further comprises:

judging whether a target feature exists in the plurality of attribute features;

and under the condition that the target features exist in the plurality of attribute features, acquiring recommendation information corresponding to the target features from a server, and sending the recommendation information corresponding to the target features to the client as the target recommendation information, wherein the server stores the plurality of target features and the recommendation information corresponding to each target feature.

4. The method according to claim 3, wherein before sending recommendation information corresponding to the target feature to the client as the target recommendation information, the method further comprises:

determining effective time and calling time of recommendation information corresponding to the target feature, wherein the calling time is the time when the recommendation information is called;

judging whether the calling time is greater than the effective time or not;

when the calling time is less than or equal to the effective time, executing the step of sending the recommendation information corresponding to the target feature to the client as the target recommendation information;

and under the condition that the calling time is longer than the effective time, executing the steps of sending the attribute information to a cloud end and receiving a recommendation information set corresponding to each attribute feature returned by the cloud end.

5. A method for generating push information is characterized by comprising the following steps:

acquiring attribute information of a user, and sending the attribute information to a server, wherein the attribute information comprises a plurality of attribute characteristics;

receiving a plurality of target recommendation information returned by the server, wherein the target recommendation information is obtained by screening from a plurality of recommendation information sets by the server, each recommendation information set comprises a plurality of recommendation information, and the recommendation information sets are obtained by the server from a cloud according to the attribute information;

and combining the target recommendation information with the display style to obtain the information to be pushed of the user.

6. The method of claim 5, wherein the attribute characteristics comprise user age, user region, and before combining the plurality of target recommendation information with the display style, the method further comprises:

acquiring size information corresponding to the user ages from a first comparison table, wherein the size information at least comprises a font size, an icon size and a display area size, the first comparison table comprises a plurality of user ages and size information corresponding to each user age, and the first comparison table is stored in a client;

and acquiring language information corresponding to the user areas from a second comparison table, and generating the display style according to the size information and the language information, wherein the second comparison table comprises a plurality of user areas and the language information corresponding to each user area, and the second comparison table is stored in a client.

7. The method of claim 5, wherein combining the plurality of target recommendation information with a display style comprises:

acquiring the quantity of the recommendation information contained in the display style to obtain a first quantity;

determining the quantity of the target recommendation information to obtain a second quantity;

judging whether the second number is larger than the first number;

under the condition that the second quantity is larger than the first quantity, selecting the first quantity of target recommendation information from the plurality of target recommendation information to obtain the information to be pushed of the user; and/or when the second quantity is larger than the first quantity, displaying the plurality of target recommendation information, receiving feedback information of the user, and determining information to be pushed of the user from the target recommendation information according to the feedback information, wherein the feedback information is used for determining the information to be pushed which is interesting to the user;

and determining the plurality of target recommendation information as the information to be pushed of the user under the condition that the second number is less than or equal to the first number.

8. The method of claim 5, wherein after obtaining the attribute information of the user, the method further comprises:

judging whether historical information to be pushed corresponding to the attribute information exists in the client;

determining the historical information to be pushed as the information to be pushed of the user under the condition that the historical information to be pushed corresponding to the attribute information exists;

and under the condition that the history information to be pushed corresponding to the attribute information does not exist, executing the step of sending the attribute information to a server.

9. The method according to claim 8, wherein after combining the target recommendation information with a display style to obtain the information to be pushed of the user, the method further comprises:

and storing the information to be pushed of the user and the attribute information into the client to obtain historical information to be pushed corresponding to the attribute information.

10. An apparatus for generating push information, comprising:

the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring attribute information of a user sent by a client, and the attribute information comprises a plurality of attribute characteristics;

the first sending unit is used for sending the attribute information to a cloud end and receiving a plurality of recommendation information sets returned by the cloud end based on the attribute information, wherein the cloud end obtains a plurality of recommendation information corresponding to each attribute feature to obtain a recommendation information set of each attribute feature, and each recommendation information set comprises a plurality of recommendation information;

the screening unit is used for screening recommendation information from the recommendation information in the recommendation information sets to obtain a plurality of target recommendation information;

and the return unit is used for returning the target recommendation information to the client and combining the target recommendation information with the display style through the client to obtain the information to be pushed of the user.

11. An apparatus for generating push information, comprising:

the second acquisition unit is used for acquiring attribute information of a user and sending the attribute information to the server, wherein the attribute information comprises a plurality of attribute characteristics;

the receiving unit is used for receiving a plurality of target recommendation information returned by the server, wherein the target recommendation information is obtained by screening from a plurality of recommendation information sets by the server, each recommendation information set comprises a plurality of recommendation information, and the recommendation information sets are obtained by the server from a cloud according to the attribute information;

and the combining unit is used for combining the target recommendation information with the display style to obtain the information to be pushed of the user.

12. A computer storage medium, characterized in that the computer storage medium is used for storing a program, wherein when the program runs, the apparatus in which the computer storage medium is located is controlled to execute the method for generating push information according to any one of claims 1 to 9.

13. An electronic device, comprising one or more processors and memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of generating push information of any one of claims 1 to 9.