CN113744066B - Information pushing method and device - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000012216 screening Methods 0.000 claims description 98
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- 238000010586 diagram Methods 0.000 description 10
- 238000004590 computer program Methods 0.000 description 7
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- 238000004458 analytical method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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 lacks 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 disclosure relates to the field of the internet, and in particular, to an information pushing method and device.
Background
With the development of the internet, information push is being increasingly used in various scenes as an emerging information propagation mode. Information pushing is a new technology for periodically transmitting information required by a user on the Internet through a certain technical standard or protocol. The information pushing can save the time of searching on the network by automatically transmitting the information to the user; the browsing amount of the pushed information can be increased by attracting the user to browse the pushed information.
However, traditional information pushing is a pushing that is widely indiscriminately (e.g., a platform pushes certain information to all users of the platform); the most suitable information or the most needed information cannot be pushed to the user, namely, the traditional information pushing method lacks pertinence.
Disclosure of Invention
The embodiment of the application provides an information pushing method and device, which can solve the problem that the traditional information pushing method lacks pertinence.
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, there is provided an 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, which includes: the information pushing device comprises a memory, a processor and a program or instructions stored on the memory and capable of running on the processor, wherein the program or instructions realize the steps of the information pushing method according to the first aspect when being executed by the processor.
In a fourth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor implement the steps of the information pushing method as described in the first aspect above.
In the embodiment of the application, when information is pushed, target information to be pushed can be acquired 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 a traditional information pushing method lacks in 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 embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a flowchart of an information pushing method provided in an embodiment of the present application.
Fig. 2 is a schematic diagram of a primary label, a secondary label, and a tertiary label 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 device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Aiming at the problem that how to solve the conventional information pushing method lacks pertinence, the application provides a solution, and aims to provide the pertinence information pushing method.
Fig. 1 is a flowchart of an information pushing method provided in an embodiment of the present application. The information pushing method provided by the embodiment of the application can be executed by a server of various platforms (such as an investment financing platform, a shopping platform or a social platform).
As shown in fig. 1, the information pushing method provided in the embodiment of the present application may include:
step 110, obtaining target information.
The targeted information may be news, advertisements, information of some specific fields or dynamic, or information of some activities such as a sales promotion, lottery, check-in, etc.
And step 120, acquiring a target user matched with the target information based on the target information.
It will be appreciated that the target user that matches the target information may be a user interested in the target information.
And step 130, pushing the target information to the target user.
For example, in the case that the information pushing method provided in the embodiment of the present application is applied to an investment financing platform, the target information may be information of a stock of a certain type that is popular recently, for example, may be analysis of current new energy automobile stock quotations by some stock managers, and the target user may be a user interested in analysis of the new energy automobile stock quotations.
In the embodiment of the application, when information is pushed, target information to be pushed can be acquired 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 a traditional information pushing method lacks in pertinence can be solved.
In order to more accurately obtain the target user matching the target information and further perform information pushing more specifically, in an embodiment, step 120, based on the target information, obtaining the target user matching 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 that the target information is analysis of current new energy automobile stock market by some stock manager, the target feature may be a new energy automobile stock, and the target user matching the target feature may be a user interested in the new energy automobile stock.
For another example, in the case where the information pushing method provided in 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 recently released, the target feature may be a mobile phone, and the target user that matches with the target feature may be a user interested in an electronic product such as a mobile phone.
Thus, the target user matched with the target information can be acquired more accurately based on the target information.
In one embodiment, before the target information is acquired 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, based on the target feature, the target user that matches the target feature includes:
determining a target data tag from the plurality of data tags based on the target feature, the target data tag comprising at least one designated data tag of the plurality of data tags;
determining a target screening condition based on the target feature and the target data tag, the target screening condition including at least one specified screening condition;
acquiring the target user matched with the target screening condition based on the target screening condition;
the specified screening conditions in the target screening conditions are in one-to-one correspondence with the specified data tags in the target data tags.
The data tag is a tag of a data type for filtering certain types of data, for example, the data tag may be a user age, that is, filtering age data of a user; the data tag may also be a user ID, a gender of the user, a city in which the user lives, or the like. In the case that the information pushing method provided by the embodiment of the application is applied to the investment financial platform, the data tag can also be stocks held by the user, stocks concerned by the user, user account opening time or user transaction times and the like.
The target data tag comprises at least one designated data tag of the plurality of data tags, wherein the designated data tag is one of the plurality of data tags, i.e. the target data tag can be composed of a plurality of data tags. For example, the target data tag may include the user's age and the stock the user is holding. In this way, different data tags in the plurality of data tags may be combined into a target data tag according to different target information.
The target screening condition is a screening condition when screening the data corresponding to the target data tag. For example, in the case where the target data tag is an age, the target screening condition may be an age range, for example, the target screening condition may be: the ages are 30 to 40 years old. For example, in the case where the target data tag is a stock held by the user, the target screening condition may be that the stock held by the user includes a new energy automobile stock.
Thus, the target data tag can be determined according to the target feature, then the target screening condition is determined according to the target data tag and the target feature, and finally the target user is screened out according to the target screening condition.
In an embodiment, before the target user matching the target feature is obtained based on the target data tag and the target screening condition, the information pushing method provided in the embodiment of the present application further includes:
synchronizing the user data stored in each service database to a target table;
determining at least one set of category data corresponding to the at least one specified data tag based on the data in the target table; wherein one specified data tag corresponds to at least one group of category data;
the step of obtaining the target user matched with the target screening condition based on the target screening condition comprises the following steps of;
screening 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 pushing method provided in the embodiment of the present application is applied to an investment financial platform, generally, the system of the investment financial platform adopts a distributed infrastructure, and service modules are often split finely, that is, different service data are stored in different service databases, and each project is often responsible for a single service module. Therefore, in this case, if data is to be screened from a plurality of service databases, it is necessary to interface with different service modules, and thus screening efficiency is low.
In order to improve the screening efficiency and further improve the information pushing efficiency, user data respectively stored in each service database can be synchronized into a target table, and then data screening is performed in the target table.
The user data in the destination table includes a variety of data including, for example, age data, date of birth data, and user data of the user's last 30 days of invitation. The age data and the date of birth 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 accumulated mode. Therefore, the information pushing method provided by the embodiment of the application may further determine at least one group of category data corresponding to the at least one specified data tag based on the data in the target table. It is understood that data tags may also be understood as data categories; in the case where the specified data tag is an age, the category data corresponding to the specified data tag is age data (e.g., 30 years old, 40 years old, etc.).
A specified data tag corresponds to a set of category data, the set of category data including a plurality of category data. For example, in the case that a certain specified data tag is an age, the group of category data corresponding to the specified data tag includes age data of all users in the target table.
In one embodiment, the screening the target category data matching the target screening condition from the at least one set of category data may include:
a data tag is specified for any of the target data tags,
screening at least one category data which accords with 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 a user corresponding to the target category data as a target user;
wherein one category data corresponds to one user.
After determining a group of class data corresponding to each specified data tag, screening out target class data meeting screening conditions corresponding to the specified data tags from the group of class data corresponding to each specified data tag; and determining the user corresponding to the target category data as a target user.
It should be noted that, a group of target category data can be screened out from a group of category data corresponding to any one of the specified data tags in the target data tags as final target category data, and a group of target users can be determined accordingly; therefore, multiple groups of target category data can be screened out as final target category data according to multiple specified data tags in the target data tags, and multiple groups of target users can be screened out correspondingly, wherein the multiple groups of target users are target users matched with the target information.
For example, in the case that the target data tag includes a first specified data tag and a second specified data tag, two groups of target users may be screened out, 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 the first specified screening condition corresponding to the first specified data tag or satisfying the second specified screening condition corresponding to the second specified data tag.
The screening according to each specified data tag may be performed simultaneously or not; when the operation is not performed simultaneously, the operation may be performed in a predetermined time sequence or may not be performed in a predetermined time sequence.
When the screening is performed according to each specified data tag, the screening is not performed simultaneously, and the target data tag includes a first specified data tag and a second specified data tag, the first user may be screened out according to a first specified screening condition corresponding to the first specified data tag, and then the target user may be screened out according to a second specified screening condition corresponding to the second specified data tag from the first user. The target user is a user who meets the first screening condition corresponding to the first data label and the second screening condition corresponding to the second data label.
In another embodiment, a set of category data includes a plurality of category data, and the screening the target category data matching the target screening condition from the at least one set of category data includes:
for each category data in any one set of category data,
judging whether the category data accords with the target screening condition or not;
and determining the category data as target category data under the condition that the category data meets the target screening condition.
The any one set of class data may be a set of class data corresponding to any one of the specified data tags, and the each class data may be each class data in the set of class data corresponding to the specified data tag.
And judging whether the category data accords with the target screening condition or not, wherein the target screening condition can be specifically a specified screening condition corresponding to the specified data tag.
For example, when the specified data tag is an age, the group of the class data is age data, and the specified screening condition corresponding to the specified data tag is 30-40 years old, the group of the class data includes at least one age data, and when a target user is screened, whether the age data meets the specified screening condition is judged for each age data; for example, if the age data of a certain user is 28, the user age data does not meet the specified screening condition, and the user is not determined as a 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 to be the target user.
In this way, the target user can be determined by judging whether the class 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 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 primary labels comprise dimension labels, the secondary labels comprise information type labels, and the tertiary labels comprise data labels; 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 label, a secondary label, and a tertiary label 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 funding 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 tag comprises an age tag and/or a gender tag; the crowd information labels comprise residential city labels and/or transaction user labels; the life cycle label comprises an account opening date label and/or an accumulated transaction number label; the asset information tag comprises a user asset equity tag and/or a current profit and loss amount tag; the stock preference information tags include attention stock tags and/or off-stock tags; the financial product preference includes holding a financial product tag; the terminal information label comprises a latest starting client date label and/or a latest starting client type label; the activity information tag includes a near 30 activity days tag.
It should be noted that, the basic information tag may further include other tags, for example, a user ID tag, a user occupation tag, and the like; the crowd information tag can also comprise other tags, such as a birth date tag, an account opening user tag and the like; 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 pack amount tag (some activities may use cash packs as rewards), etc.; the stock preference information tag may also include other tags, such as a trade stock tag, etc.; the terminal information tag may also include other tags, such as a device model, etc.; the activity information tag may also include a last activity date tag, etc.
In another embodiment, the determining the target data tag from the plurality of data tags based on the target feature includes:
determining a target primary tag from the plurality of primary tags based on the target feature;
determining a target secondary label from the target primary labels based on the target characteristics;
determining a target tertiary tag from the target secondary tags based on the target features;
and determining the target three-level tag as the target data tag.
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 determining of the target data tag from the plurality of data tags is performed by an operator, the operator may select at least one designated data tag from the plurality of data tags in the operating 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 by the embodiment of the present application may be applied to the operating system). However, since the target data tag in the embodiment of the present application is determined from a plurality of data tags, it is difficult to find the target data tag directly from the plurality of data tags. Therefore, the first-level target label can be determined according to the target characteristics; then determining a target secondary label from the target primary labels; and finally, determining the target third-level label from the target second-level label, so that the time of operators can be saved.
For example, assume that the plurality of data tags is 13 (including an age tag, a gender tag, a city of residence tag, a whether to transact user tag, an account date tag, a cumulative transaction number tag, a user equity tag, a current profit and loss amount tag, a stock of interest tag, a stock of hold tag, a last start client date tag, a last start client 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 from 13 tags as the target data tag (it should be understood that the number of the plurality of data tags may be more). For example, if the target feature is a new energy stock, then a target primary label may be determined (i.e., the investment preference dimension label is determined to be a target primary label), then a target information type label may be determined from the target primary labels (i.e., the stock preference is determined to be a target secondary label), finally a target tertiary label may be determined from the target secondary labels (i.e., the stock of interest label and/or the stock of holding label is determined to be a target tertiary label), and finally the target tertiary label may be determined to be a target data label.
In this way, the efficiency of determining the 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, the information pushing method provided in the embodiment of the present application may include:
step 301, a plurality of data tags are generated.
Step 302, user data respectively stored in the respective service databases are synchronized into the target table.
Step 303, determining category data corresponding to the plurality of data tags based on the data in the target table; wherein one data tag corresponds to a set of category data.
Step 304, obtaining target information.
And step 305, determining target characteristics corresponding to the target information based on the target information.
Step 306, 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 from the plurality of data tags.
Step 307, determining the target screening condition based on the target feature and the target data tag, wherein the target screening condition comprises at least one specified screening condition.
Step 308, determining at least one group of category data corresponding to the at least one designated data tag from the category data corresponding to the plurality of data tags; wherein a specified data tag corresponds to a set of category data.
Step 309, screening out target category data matching the target screening condition from the at least one set of category data.
And step 310, determining the user corresponding to the target category data as a target user.
Step 311, pushing the target information to the target user.
Thus, in the embodiment of the application, when information is pushed, target information to be pushed can be acquired 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 a traditional information pushing method lacks in pertinence can be solved.
Corresponding to the information pushing method described above, the embodiment of the present application further provides an information pushing device, where the information pushing method described above may be applied to the information pushing device provided by the embodiment of the present application.
Fig. 4 is a block diagram of an information pushing device according to an embodiment of the present application. As shown in fig. 4, an embodiment of the present application provides an information pushing device 400, including an obtaining module 410 and a processing module 420.
Wherein, the obtaining module 410 is configured to obtain target information;
the obtaining module 410 is further configured to obtain, based on the target information, a target user that matches the target information;
the processing module 420 is configured to push the target information to the target user.
Thus, in the embodiment of the application, when information is pushed, target information to be pushed can be acquired 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 a traditional information pushing method lacks in pertinence can be solved.
Optionally, the acquiring module 410 is specifically configured to, when acquiring, based on the target information, a target user that matches the target information:
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 device further includes a generating module, where the generating module is configured to generate a plurality of data tags before the acquiring module 410 acquires the target information;
the obtaining module 410 is specifically configured to, when obtaining the target user matching 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 comprising at least one designated data tag of the plurality of data tags;
determining a target screening condition based on the target feature and the target data tag, the target screening condition including at least one specified screening condition;
acquiring the target user matched with the target screening condition based on the target screening condition;
the specified screening conditions in the target screening conditions are in one-to-one correspondence with the specified data tags in the target data tags.
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 into a target table;
determining at least one set of category data corresponding to the at least one specified data tag based on the data in the target table; wherein, a specified data tag corresponds to a group of category data;
the obtaining module 410 is specifically configured to, when obtaining the target user matching the target screening condition based on the target screening condition:
screening 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 set of category data includes at least one category data, and the obtaining module 410 may be specifically configured to, when screening the target category data matching the target screening condition from the at least one set of category data:
for each category data in any one set of category data,
judging whether the category data accords with the target screening condition or not;
and determining the category data as target category data under the condition that the category data meets the target screening condition.
Optionally, the generating module is specifically configured to, when generating the plurality of data tags:
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 primary labels comprise dimension labels, the secondary labels comprise information type labels, and the tertiary labels comprise data labels; 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 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 labels comprise age labels and/or gender labels, the crowd information labels comprise resident city labels and/or transaction user labels, the life cycle labels comprise opening date labels and/or accumulated transaction times labels, the asset information labels comprise user asset equity labels and/or current profit and loss amount labels, the stock preference information labels comprise attention stock labels and/or holding stock labels, the financial product preferences comprise holding financial product labels, the terminal information labels comprise a last starting client date label and/or a last starting client type label, and the active information labels comprise a near 30 active days label.
Optionally, the obtaining module 410 may specifically be configured to, when determining, based on the target feature, a target data tag from the plurality of data tags:
determining a target primary tag from the plurality of primary tags based on the target feature;
determining a target secondary label from the target primary labels based on the target characteristics;
determining a target tertiary tag from the target secondary tags based on the target features;
and determining the target three-level tag as the target data tag.
It should be appreciated that the information pushing method described above may be applied to the information pushing device provided in the embodiments of the present application, so reference may be made to the description of the method section above for the content of identifying the information pushing device.
The embodiment of the application also provides electronic equipment, which comprises: a memory, a processor, and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, performs any of the methods as described above.
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 having stored thereon a program or instructions which, when executed by a processor, implement any of the methods described above.
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.
From the description of the embodiments above, those skilled in the art will appreciate that embodiments of the 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 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 one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
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). Memory is an example of computer-readable media.
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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
Claims (7)
1. An information pushing method is characterized by comprising the following steps:
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 primary labels comprise dimension labels, the secondary labels comprise information type labels, and the tertiary labels comprise data labels; 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 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 labels comprise age labels and/or gender labels, the crowd information labels comprise resident city labels and/or transaction user labels, the life cycle labels comprise account opening date labels and/or accumulated transaction times labels, the asset information labels comprise user asset equity labels and/or current profit and loss amount labels, the stock preference information labels comprise attention stock labels and/or holding stock labels, the financial product preferences comprise holding financial product labels, the terminal information labels comprise a latest start client date label and/or a latest start client type label, and the active information labels comprise a near 30 active days label;
acquiring target information to be pushed;
determining target characteristics corresponding to the target information to be pushed based on the target information to be pushed;
determining a target data tag from the plurality of data tags based on the target feature, the target data tag comprising at least one designated data tag of the plurality of data tags;
determining a target screening condition based on the target feature and the target data tag, the target screening condition including at least one specified screening condition;
acquiring a target user matched with the target screening condition based on the target screening condition; the specified screening conditions in the target screening conditions are in one-to-one correspondence with the specified data tags in the target data tags;
and pushing the target information to the target user.
2. The information pushing method according to claim 1, characterized in that before the target user matching the target screening condition is acquired based on the target screening condition, the information pushing method comprises:
synchronizing the user data stored in each service database to a target table;
determining at least one set of category data corresponding to the at least one specified data tag based on the data in the target table; wherein, a specified data tag 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 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.
3. The information pushing method according to claim 2, wherein a set of category data includes at least one category data, and the screening the target category data matching the target screening condition from the at least one set of category data includes:
for each category data in any one set of category data,
judging whether the category data accords with the target screening condition or not;
and determining the category data as target category data under the condition that the category data meets the target screening condition.
4. The information pushing method according to claim 1, wherein the determining a target data tag from the plurality of data tags based on the target feature comprises:
determining a target primary tag from the plurality of primary tags based on the target feature;
determining a target secondary label from the target primary labels based on the target characteristics;
determining a target tertiary tag from the target secondary tags based on the target features;
and determining the target three-level tag as the target data tag.
5. An information pushing device, characterized in that the information pushing device comprises:
the generation module is used for 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 primary labels comprise dimension labels, the secondary labels comprise information type labels, and the tertiary labels comprise data labels; 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 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 labels comprise age labels and/or gender labels, the crowd information labels comprise resident city labels and/or transaction user labels, the life cycle labels comprise account opening date labels and/or accumulated transaction times labels, the asset information labels comprise user asset equity labels and/or current profit and loss amount labels, the stock preference information labels comprise attention stock labels and/or holding stock labels, the financial product preferences comprise holding financial product labels, the terminal information labels comprise a latest start client date label and/or a latest start client type label, and the active information labels comprise a near 30 active days label;
the acquisition module is used for acquiring target information to be pushed;
the acquisition module is further used for determining target characteristics corresponding to the target information to be pushed based on the target information to be pushed; determining a target data tag from the plurality of data tags based on the target feature, the target data tag comprising at least one designated data tag of the plurality of data tags; determining a target screening condition based on the target feature and the target data tag, the target screening condition including at least one specified screening condition; acquiring a target user matched with the target screening condition based on the target screening condition; the specified screening conditions in the target screening conditions are in one-to-one correspondence with the specified data tags in the target data tags;
and the processing module is used for pushing the target information to the target user.
6. An electronic device, the electronic device comprising: 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 according to any of claims 1 to 4.
7. 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 pushing method according to any of claims 1 to 4.
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