CN113744066A - Information pushing method and device - Google Patents
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Abstract
The application discloses an information pushing method and device, relates to the field of internet and aims to solve the problem that a traditional information pushing method is lack of pertinence. The information pushing method comprises the following steps: acquiring target information; acquiring a target user matched with the target information based on the target information; and pushing the target information to the target user.
Description
Technical Field
The present application relates to the field of internet, and in particular, to an information push method and apparatus.
Background
With the development of the internet, information push is being widely applied to various scenes as an emerging information propagation mode. Information push is a new technology for periodically transmitting information required by users on the internet through a certain technical standard or protocol. The information push can save the time of searching on the network by the user by automatically transmitting the information to the user; the browsing amount of the pushed information can also be increased by attracting the user to browse the pushed information.
However, traditional information pushing is pushing widely indiscriminately (e.g., a certain platform pushes certain information to all users of the platform); the information which is most suitable or most needed by the user cannot be pushed to the user, that is, the traditional information pushing method lacks pertinence.
Disclosure of Invention
The embodiment of the application provides an information pushing method and device, and the problem that a traditional information pushing method is lack of pertinence can be solved.
In a first aspect, an information pushing method is provided, where the information pushing method includes:
acquiring target information;
acquiring a target user matched with the target information based on the target information;
and pushing the target information to the target user.
In a second aspect, an information pushing apparatus is provided, the information pushing apparatus including:
the acquisition module is used for acquiring target information;
the acquisition module is further used for acquiring a target user matched with the target information based on the target information;
and the processing module is used for pushing the target information to the target user.
In a third aspect, an electronic device is provided, and the electronic device includes: a memory, a processor and a program or instructions stored on the memory and executable on the processor, which when executed by the processor implement the steps of the information pushing method as described in the first aspect above.
In a fourth aspect, a readable storage medium is provided, on which a program or instructions are stored, which when executed by a processor implement the steps of the information pushing method according to the first aspect.
In the embodiment of the application, when information is pushed, target information to be pushed can be obtained firstly; then, acquiring a target user matched with the target information based on the target information; and then pushing the target information to the target user. Because the target user is matched with the target information, the target information can be pushed to the target user matched with the target information in a targeted manner, and the problem that the traditional information pushing method lacks pertinence can be solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of an information pushing method according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a primary tag, a secondary tag, and a tertiary tag provided in an embodiment of the present application.
Fig. 3 is a flowchart of another information pushing method provided in an embodiment of the present application.
Fig. 4 is a block diagram of an information pushing apparatus according to an embodiment of the present application.
Detailed Description
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 some, but not all, embodiments of the present application. 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.
In order to solve the problem that the conventional information pushing method is lack of pertinence, the application provides a solution, and aims to provide a targeted information pushing method.
Fig. 1 is a flowchart of an information pushing method according to an embodiment of the present application. The information pushing method provided by the embodiment of the application can be executed by servers of various platforms (for example, an investment financing platform, a shopping platform or a social platform).
As shown in fig. 1, an information pushing method provided in an embodiment of the present application may include:
The target information may be news, advertisement, some specific information or dynamic information, or information of some activities, such as promotion, lottery, or check-in activities.
And step 120, acquiring a target user matched with the target information based on the target information.
It is understood that the target user matching the target information may be a user interested in the target information.
For example, in a case that the information pushing method provided in this embodiment of the present application is applied to an investment financing platform, the target information may be information of a recently popular type of stock, for example, analysis of a current new energy automobile type stock quotation by some stock managers, the target user may be a user interested in the analysis of the new energy automobile type stock quotation, and the information pushing method provided in this embodiment of the present application may push the information of the recently popular new energy automobile type stock to the user interested in the new energy automobile type stock.
In the embodiment of the application, when information is pushed, target information to be pushed can be obtained firstly; then, acquiring a target user matched with the target information based on the target information; and then pushing the target information to the target user. Because the target user is matched with the target information, the target information can be pushed to the target user matched with the target information in a targeted manner, and the problem that the traditional information pushing method lacks pertinence can be solved.
In order to more accurately acquire the target user matching with the target information and further perform information push more specifically, in an embodiment, in step 120, acquiring the target user matching with the target information based on the target information may include the following steps:
determining target characteristics corresponding to the target information based on the target information;
and acquiring the target user matched with the target feature based on the target feature.
The target feature may be a keyword in the target information. For example, in the case where the target information is analysis of current new energy automobile type stocks quotations by some stock managers, the target feature may be a new energy automobile type stock, and the target user matching the target feature may be a user interested in the new energy automobile type stock.
For another example, when the information pushing method provided by the embodiment of the present application is applied to a shopping platform, the target information may be an advertisement of a certain product, for example, the target information may be an advertisement of a certain mobile phone that is newly released, the target feature may be a mobile phone, and the target user matched with the target feature may be a user interested in an electronic product such as a mobile phone.
Therefore, the target user matched with the target information can be acquired more accurately based on the target information.
In an embodiment, before acquiring the target information in step 110, the information pushing method provided in the embodiment of the present application further includes:
generating a plurality of data tags;
the obtaining the target user matched with the target feature based on the target feature comprises:
determining a target data tag from the plurality of data tags based on the target feature, the target data tag including at least one specified data tag of the plurality of data tags;
determining target screening conditions based on the target features and the target data tags, the target screening conditions including at least one specified screening condition;
acquiring the target users matched with the target screening conditions based on the target screening conditions;
wherein, the specified screening conditions in the target screening conditions correspond to the specified data tags in the target data tags one to one.
The data tag is a data type tag for screening certain type of data, for example, the data tag may be the age of a user, that is, screening age data of the user; the data tag can also be a user ID, the gender of the user, a city in which the user lives, and the like. In the case that the information pushing method provided by the embodiment of the application is applied to an investment and financing platform, the data tag can also be stocks taken by a user, stocks concerned by the user, user account opening time or user transaction times and the like.
The target data tag includes at least one designated data tag of the plurality of data tags, and the designated data tag is a data tag of the plurality of data tags, that is, the target data tag may be composed of a plurality of data tags. For example, the target data tags may include the age of the user and the stocks taken by the user. In this way, different data tags in the plurality of data tags can be combined into a target data tag according to different target information.
And the target screening condition is a screening condition when screening the data corresponding to the target data label. For example, in the case that the target data tag is an age, the target screening condition may be an age interval, for example: the age is 30 to 40 years. For example, in the case that the target data tag is a stock taken in position by the user, the target filtering condition may be that the stock taken in position includes a new energy automobile type stock.
Therefore, the target data label can be determined according to the target characteristic, then the target screening condition is determined according to the target data label and the target characteristic, and finally the target user is screened according to the target screening condition.
In an embodiment, before the obtaining the target user matched with the target feature based on the target data tag and the target screening condition, the information push method provided in the embodiment of the present application further includes:
synchronizing the user data respectively stored in each service database to a target table;
determining at least one set of category data corresponding to the at least one designated data tag based on data in the target table; wherein, a designated data label corresponds to at least one group of category data;
the target user information matched with the target screening condition is obtained based on the target screening condition;
screening out target category data matched with the target screening conditions from the at least one group of category data;
and determining the user corresponding to the target category data as a target user.
It can be understood that, when the information push method provided in the embodiment of the present application is applied to an investment financing platform, generally, a system of the investment financing platform adopts a distributed underlying architecture, and a business module is often split into a plurality of business modules, that is, different business data are stored in different business databases, and each project is often responsible for a single business module. Therefore, in this case, if data is to be screened from a plurality of service databases, different service modules need to be connected, and therefore, the screening efficiency is low.
In order to improve the screening efficiency and further improve the information pushing efficiency, the user data respectively stored in each service database can be synchronized into the target table, and then the data can be screened in the target table.
The user data in the target table includes a variety of data including, for example, age data, date of birth data, and user number data that the user has invited in the last 30 days. The age data and the birth date data can be directly obtained from the target table, but the data of the number of users invited in the last 30 days cannot be directly obtained, and the data of the number of users invited in the last 30 days needs to be determined in an accumulation mode. Therefore, the information pushing method provided by the embodiment of the application may further determine at least one set of category data corresponding to the at least one designated data tag based on the data in the target table. It is understood that data tags may also be understood as categories of data; when the designated data tag is age, the category data corresponding to the designated data tag is age data (e.g., 30 years, 40 years, etc.).
A designated data tag corresponds to a set of category data, and the set of category data includes a plurality of category data. For example, in the case that a certain specified data tag is an age, the set of category data corresponding to the specified data tag includes age data of all users in the target table.
In one embodiment, the filtering out, from the at least one set of category data, target category data matching the target filtering condition may include:
specifying a data tag for any of the target data tags,
screening at least one category data meeting the specified screening condition corresponding to the specified data tag from a group of category data corresponding to the specified data tag as target category data;
determining the user corresponding to the target category data as a target user;
wherein one category data corresponds to one user.
After a group of category data corresponding to each designated data tag is determined, target category data meeting the screening condition corresponding to the designated data tag can be screened from a group of category data corresponding to each designated data tag; and determining the user corresponding to the target category data as a target user.
It should be noted that, in a group of category data corresponding to any one of the designated data tags in the target data tags, a group of target category data may be screened out as final target category data, and accordingly a group of target users may be determined; therefore, multiple groups of target category data can be screened out as final target category data according to multiple designated data tags in the target data tags, and multiple groups of target users can be correspondingly screened out, wherein the multiple groups of target users are target users matched with the target information.
For example, in a case where the target data tags include a first designated data tag and a second designated data tag, two groups of target users may be screened, where the two groups of target users are target users corresponding to the target information, that is, the two groups of target users are users satisfying a first designated screening condition corresponding to the first designated data tag or a second designated screening condition corresponding to the second designated data tag.
The screening can be carried out simultaneously or not according to each appointed data label; when not simultaneously performed, the operations may be performed in a certain time sequence or may not be performed in a certain time sequence.
When the screening is performed according to each designated data tag at different times, and the target data tag includes a first designated data tag and a second designated data tag, the first user may be screened according to a first designated screening condition corresponding to the first designated data tag, and then the target user may be screened according to a second designated screening condition corresponding to the second designated data tag from the first user. Namely, the target user is a user who meets the first screening condition corresponding to the first data tag and meets the second screening condition corresponding to the second data tag.
In another embodiment, a plurality of category data are included in one set of category data, and the filtering out the target category data matching the target filtering condition from the at least one set of category data includes:
for each category data in any set of category data,
judging whether the category data meets the target screening condition or not;
and under the condition that the category data meet the target screening conditions, determining the category data as target category data.
The arbitrary set of category data may be a set of category data corresponding to any one of the designated data tags, and the each category data may be each category data in the set of category data corresponding to the designated data tag.
And judging whether the category data meets the target screening condition, wherein the target screening condition may be a specific screening condition corresponding to the specific data tag.
For example, when the designated data tag is age, the group of category data is age data, and the designated screening condition corresponding to the designated data tag is age 30 to age 40, the group of category data includes at least one age data, and when a target user is screened, it is determined whether the age data meets the designated screening condition for each age data; for example, if the age data of a certain user is 28, the age data of the user does not meet the specified screening condition, and the user is not determined as the target user; and if the age data of the other user is 32, the age data of the user meets the specified screening condition, and the user is determined as the target user.
Therefore, the target user can be determined by judging whether the category data corresponding to the specified data tag meets the specified screening condition corresponding to the specified data tag.
In another embodiment, the generating the plurality of data tags comprises:
generating a plurality of primary labels;
generating a plurality of secondary labels based on the plurality of primary labels;
generating a plurality of tertiary labels based on the plurality of secondary labels;
the first-level label comprises a dimension label, the second-level label comprises an information type label, and the third-level label comprises a data label; the secondary label is a sub-label of the primary label, and the tertiary label is a sub-label of the secondary label.
Fig. 2 is a schematic diagram of a primary tag, a secondary tag, and a tertiary tag provided in an embodiment of the present application.
As shown in fig. 2, the primary labels include at least one of a user dimension label, a fund dimension label, an investment preference dimension label, and a user behavior dimension label;
the user dimension labels comprise basic information labels and/or crowd information labels, the fund dimension labels comprise life cycle information labels and/or asset information labels, the investment preference dimension labels comprise stock preference information labels and/or financial product preference labels, and the user behavior dimension labels comprise terminal information labels and/or active information labels;
the basic information label comprises an age label and/or a gender label; the crowd information label comprises a living city label and/or a trading user label; the life cycle label comprises an account opening date label and/or a cumulative transaction number label; the asset information tag comprises a user asset net worth tag and/or a current profit and loss amount tag; the stock preference information labels comprise an attention stock label and/or a position taking stock label; the financial product preference comprises holding a financial product label; the terminal information tag comprises a latest starting client date tag and/or a latest starting client type tag; the activity information tag includes a near 30 activity days tag.
It should be noted that the basic information tag may also include other tags, such as a user ID tag, a user occupation tag, and the like; the crowd information tag may also include other tags, such as a year of birth tag, a user account opening tag, etc.; the life cycle label can also be other labels, such as a cumulative transaction amount label and the like; the asset information tags may also include other tags, such as a cash red envelope amount tag (some activities may be awarded in a cash red envelope), and the like; the stock preference information tags may also include other tags, such as trading stock tags, etc.; the terminal information tag may also include other tags, such as a device model number; the activity information tag may also include a last activity date tag, and the like.
In another embodiment, the determining a target data tag from the plurality of data tags based on the target feature comprises:
determining a target primary label from the plurality of primary labels based on the target feature;
determining a target secondary label from the target primary labels based on the target features;
determining a target tertiary label from the target secondary labels based on the target features;
and determining the target tertiary label as the target data label.
It should be noted that, in the information pushing method provided in the embodiment of the present application, determining the target data tag from the plurality of data tags may be performed by a server, or may be performed by an operator. In the case that the target data tag is determined to be executed by the operator from the plurality of data tags, the operator may select at least one designated data tag from the plurality of data tags in the operation system as the target data tag and input a corresponding target screening condition, and the system may screen out the target user according to the target screening condition (the information pushing method provided in the embodiment of the present application may be applied to the operation system). However, since the target data tag in the embodiment of the present application is determined from the plurality of data tags, it is difficult to directly find the target data tag from the plurality of data tags. Therefore, the target primary label can be determined according to the target characteristics; then determining a target secondary label from the target primary label; and finally, determining the target third-level label from the target second-level labels, so that the time of operators can be saved.
For example, assume the plurality of data tags is 13 (including an age tag, a gender tag, a city of residence tag, whether to trade a user tag, a date of opening an account tag, a cumulative number of trades tag, a user equity tag, a current profit and loss amount tag, a stock of interest tag, a stock taken in a position tag, a last client started date tag, a last client started type tag, and a last 30 days of activity tag). At this time, it is difficult for the operator to determine a specific data tag as the target data tag from the 13 tags (it should be understood that the number of the plurality of data tags may be more). For example, if the target feature is in the new energy resource stock, the target first-level label may be determined (i.e., the investment preference dimension label is determined as the target first-level label), then the target information type label may be determined from the target first-level label (i.e., the stock preference is determined as the target second-level label), then the target third-level label may be determined from the target second-level label (i.e., the attention stock label and/or the position holding stock label may be determined as the target third-level label), and then the target third-level label may be determined as the target data label.
In this way, the efficiency of determining a target data tag from the plurality of data tags based on the target feature may be improved.
Fig. 3 is a flowchart of another information pushing method provided in an embodiment of the present application. As shown in fig. 3, in an embodiment, an information pushing method provided in an embodiment of the present application may include:
in step 301, a plurality of data tags are generated.
And 310, determining the user corresponding to the target category data as a target user.
Therefore, in the embodiment of the application, when information is pushed, target information to be pushed can be obtained first; then, acquiring a target user matched with the target information based on the target information; and then pushing the target information to the target user. Because the target user is matched with the target information, the target information can be pushed to the target user matched with the target information in a targeted manner, and the problem that the traditional information pushing method lacks pertinence can be solved.
Corresponding to the information pushing method described above, an embodiment of the present application further provides an information pushing apparatus, and the information pushing method described above may be applied to the information pushing apparatus provided in the embodiment of the present application.
Fig. 4 is a block diagram of an information pushing apparatus according to an embodiment of the present application. As shown in fig. 4, an information pushing apparatus 400 according to an embodiment of the present application includes an obtaining module 410 and a processing module 420.
The obtaining module 410 is configured to obtain target information;
the obtaining module 410 is further configured to obtain a target user matched with the target information based on the target information;
the processing module 420 is configured to push the target information to the target user.
Therefore, in the embodiment of the application, when information is pushed, target information to be pushed can be obtained first; then, acquiring a target user matched with the target information based on the target information; and then pushing the target information to the target user. Because the target user is matched with the target information, the target information can be pushed to the target user matched with the target information in a targeted manner, and the problem that the traditional information pushing method lacks pertinence can be solved.
Optionally, when the obtaining module 410 obtains the target user matched with the target information based on the target information, it is specifically configured to:
determining target characteristics corresponding to the target information based on the target information;
and acquiring the target user matched with the target feature based on the target feature.
Optionally, the information pushing apparatus further includes a generating module, before the obtaining module 410 obtains the target information, the generating module is configured to generate a plurality of data tags;
the obtaining module 410 is specifically configured to, when obtaining the target user matched with the target feature based on the target feature:
determining a target data tag from the plurality of data tags based on the target feature, the target data tag including at least one specified data tag of the plurality of data tags;
determining target screening conditions based on the target features and the target data tags, the target screening conditions including at least one specified screening condition;
acquiring the target users matched with the target screening conditions based on the target screening conditions;
wherein, the specified screening conditions in the target screening conditions correspond to the specified data tags in the target data tags one to one.
Optionally, before the obtaining module 410 obtains the target user matching the target screening condition based on the target screening condition, the obtaining module 410 is further configured to:
synchronizing the user data respectively stored in each service database to a target table;
determining at least one set of category data corresponding to the at least one designated data tag based on data in the target table; wherein, a designated data label corresponds to a group of category data;
the obtaining module 410 is specifically configured to, when obtaining the target user matched with the target screening condition based on the target screening condition:
screening out target category data matched with the target screening conditions from the at least one group of category data;
and determining the user corresponding to the target category data as a target user.
Optionally, the group of category data includes at least one category data, and when the obtaining module 410 filters out the target category data matching the target filtering condition from the at least one group of category data, it may specifically be configured to:
for each category data in any set of category data,
judging whether the category data meets the target screening condition or not;
and under the condition that the category data meet the target screening conditions, determining the category data as target category data.
Optionally, when the generating module generates a plurality of data tags, the generating module is specifically configured to:
generating a plurality of primary labels;
generating a plurality of secondary labels based on the plurality of primary labels;
generating a plurality of tertiary labels based on the plurality of secondary labels
The first-level label comprises a dimension label, the second-level label comprises an information type label, and the third-level label comprises a data label; the secondary label is a sub-label of the primary label, and the tertiary label is a sub-label of the secondary label;
the primary labels comprise at least one of user dimension labels, fund dimension labels, investment preference dimension labels and user behavior dimension labels; the user dimension labels comprise basic information labels and/or crowd information labels, the fund dimension labels comprise life cycle information labels and/or asset information labels, the investment preference dimension labels comprise stock preference information labels and/or financial product preference labels, and the user behavior dimension labels comprise terminal information labels and/or active information labels;
the basic information label comprises an age label and/or a gender label, the crowd information label comprises a living city label and/or a trading user label, the life cycle label comprises an opening date label and/or a cumulative trading frequency label, the asset information label comprises a user asset net value label and/or a current profit and loss amount label, the stock preference information label comprises an attention stock label and/or a position holding stock label, the financial product preference comprises a possession financial product label, the terminal information label comprises a last-started client date label and/or a last-started client type label, and the active information label comprises a near-30 active days label.
Optionally, when determining the target data tag from the plurality of data tags based on the target feature, the obtaining module 410 may specifically be configured to:
determining a target primary label from the plurality of primary labels based on the target feature;
determining a target secondary label from the target primary labels based on the target features;
determining a target tertiary label from the target secondary labels based on the target features;
and determining the target tertiary label as the target data label.
It should be understood that the information pushing method described above can be applied to the information pushing device provided in the embodiments of the present application, and therefore, reference may be made to the description of the above method section for identifying the information pushing device.
An embodiment of the present application further provides an electronic device, where the electronic device includes: a memory, a processor, and a program or instructions stored on the memory and executable on the processor, which when executed by the processor, implements a method as any one of the above methods.
For example, the program or instructions when executed by the processor may implement:
acquiring target information;
acquiring a target user matched with the target information based on the target information;
and pushing the target information to the target user.
Embodiments of the present application also provide a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement any of the above methods.
For example, the program or instructions when executed by the processor may implement:
acquiring target information;
acquiring a target user matched with the target information based on the target information;
and pushing the target information to the target user.
With the above description of embodiments, it should be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement 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 be noted that, in this document, 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 phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An information pushing method, characterized in that the information pushing method comprises:
acquiring target information;
acquiring a target user matched with the target information based on the target information;
and pushing the target information to the target user.
2. The information pushing method according to claim 1, wherein the obtaining the target user matched with the target information based on the target information comprises:
determining target characteristics corresponding to the target information based on the target information;
and acquiring the target user matched with the target feature based on the target feature.
3. The information push method according to claim 2, wherein before the obtaining of the target information, the information push method includes:
generating a plurality of data tags;
the obtaining the target user matched with the target feature based on the target feature comprises:
determining a target data tag from the plurality of data tags based on the target feature, the target data tag including at least one specified data tag of the plurality of data tags;
determining target screening conditions based on the target features and the target data tags, the target screening conditions including at least one specified screening condition;
acquiring the target users matched with the target screening conditions based on the target screening conditions;
wherein, the specified screening conditions in the target screening conditions correspond to the specified data tags in the target data tags one to one.
4. The information pushing method according to claim 3, wherein before the obtaining of the target user matching the target screening condition based on the target screening condition, the information pushing method comprises:
synchronizing the user data respectively stored in each service database to a target table;
determining at least one set of category data corresponding to the at least one designated data tag based on data in the target table; wherein, a designated data label corresponds to a group of category data;
the obtaining the target user matched with the target screening condition based on the target screening condition comprises:
screening out target category data matched with the target screening conditions from the at least one group of category data;
and determining the user corresponding to the target category data as a target user.
5. The information pushing method according to claim 4, wherein at least one category data is included in a set of category data, and the filtering out the target category data matching the target filtering condition from the at least one set of category data includes:
for each category data in any set of category data,
judging whether the category data meets the target screening condition or not;
and under the condition that the category data meet the target screening conditions, determining the category data as target category data.
6. The information pushing method according to claim 3, wherein the generating the plurality of data tags includes:
generating a plurality of primary labels;
generating a plurality of secondary labels based on the plurality of primary labels;
generating a plurality of tertiary labels based on the plurality of secondary labels;
the first-level label comprises a dimension label, the second-level label comprises an information type label, and the third-level label comprises a data label; the secondary label is a sub-label of the primary label, and the tertiary label is a sub-label of the secondary label;
the primary labels comprise at least one of user dimension labels, fund dimension labels, investment preference dimension labels and user behavior dimension labels;
the user dimension labels comprise basic information labels and/or crowd information labels, the fund dimension labels comprise life cycle information labels and/or asset information labels, the investment preference dimension labels comprise stock preference information labels and/or financial product preference labels, and the user behavior dimension labels comprise terminal information labels and/or active information labels;
the basic information label comprises an age label and/or a gender label, the crowd information label comprises a living city label and/or a trading user label, the life cycle label comprises an opening date label and/or a cumulative trading frequency label, the asset information label comprises a user asset net value label and/or a current profit and loss amount label, the stock preference information label comprises an attention stock label and/or a position holding stock label, the financial product preference comprises a possession financial product label, the terminal information label comprises a last-started client date label and/or a last-started client type label, and the active information label comprises a near-30 active days label.
7. The information pushing method according to claim 6, wherein the determining a target data tag from the plurality of data tags based on the target feature comprises:
determining a target primary label from the plurality of primary labels based on the target feature;
determining a target secondary label from the target primary labels based on the target features;
determining a target tertiary label from the target secondary labels based on the target features;
and determining the target tertiary label as the target data label.
8. An information pushing apparatus, characterized in that the information pushing apparatus comprises:
the acquisition module is used for acquiring target information;
the acquisition module is further used for acquiring a target user matched with the target information based on the target information;
and the processing module is used for pushing the target information to the target user.
9. An electronic device, characterized in that the electronic device comprises: memory, processor and program or instructions stored on the memory and executable on the processor, which when executed by the processor implement the steps of the information pushing method according to any one of claims 1 to 7.
10. A readable storage medium, characterized in that the readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the information push method according to any one of claims 1 to 7.
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