CN112506981A - Online training service pushing method and device - Google Patents
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Abstract
The invention relates to the technical field of big data analysis, in particular to a method and a device for pushing online training services, wherein the method comprises the steps of acquiring all user data stored in a database in the same day, and acquiring the user data through a front-end buried point of an online training platform; determining parameters of buried points triggered by a user in front-end interactive operation according to user data, and searching state tags associated with the buried points in a preset tag warehouse; counting the triggering frequency of each embedded point, and matching the state tags associated with the embedded points with corresponding degree tags when the triggering frequency reaches a preset threshold value; and determining user identifications of all users according to all user data, combining all user identifications into different user group catalogs by taking at least one state label and degree label as screening conditions, and sending the different user group catalogs to a database for storage.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to an online training service pushing method and device.
Background
With the advent of the big data era, traditional popularization modes such as media advertisement and ground popularization are difficult to adapt to the operation demands of the vast user groups due to high operation cost and low popularization precision.
With the development of online training courses, users can learn various courses without going out, and the number of users who buy the courses and learn on line is increased greatly. In contrast, more and more companies develop all-around services for online promotion to lectures for users, so that competition pressure in the industry is increased, and in order to stand out, many enterprises make corresponding promotion strategies for different user groups.
In fact, because the positioning of the user group is inaccurate, the proposed course service is asymmetric to some users in the corresponding user group, some users receive unnecessary services, and the required services are not received, which causes resource waste, and the user group may be seriously lost, so how to improve the precision course service popularization for the users becomes a big problem to be solved urgently in the online training industry.
Disclosure of Invention
In view of the above, embodiments of the present invention are proposed to provide an online training service pushing method and apparatus that overcome the above problems or at least partially solve the above problems.
The invention provides an online training service pushing method, which comprises the following steps:
acquiring all user data stored in a database on the same day, wherein the user data is acquired through a front-end buried point of an online training platform;
determining parameters of buried points triggered by a user in the front-end interactive operation according to the user data, and searching state tags associated with the buried points in a preset tag warehouse;
counting the triggering frequency of each buried point, and matching a corresponding degree label to a state label associated with the buried point when the triggering frequency reaches a preset threshold value, wherein the degree label is a sub-label of the state label;
and determining the user identification of each user according to all the user data, combining the user identifications into different user group catalogs by taking at least one state label and one degree label as screening conditions, and sending the different user group catalogs to the database for storage.
Further, the determining the user identifier of each user according to all the user data includes:
and generating a user identifier capable of distinguishing each user according to registration data input when the user registers, which is collected by the front-end buried point, wherein the registration data comprises an account ID, an account name and a mobile phone number bound with the account ID of the user.
Further, the obtaining of all user data stored in the database on the current day includes:
and acquiring user data of the user in the online training platform through a front end buried point according to the user attribute dimension and the behavior dimension to obtain corresponding user attribute data and user behavior data.
Further, the determining, according to the user data, parameters of buried points triggered by the user in the front-end interaction operation, and searching for the state label associated with each buried point in a preset label warehouse includes:
acquiring user attribute characteristics and behavior characteristics according to the user attribute data and the user behavior data;
constructing an attribute state label according to the user attribute characteristics and constructing a behavior state label according to the user behavior characteristics;
storing the attribute state tags and the behavior state tags in the tag repository.
Further, the counting the triggering frequency of each buried point includes:
triggering the buried point in response to the interactive operation of the user at the front end;
collecting user data corresponding to the buried points, generating records and storing the records in the database;
and counting the recording times of the same user data to obtain the triggering frequency of each buried point.
Further, when the triggering frequency reaches a predetermined threshold, matching the state tag associated with the buried point with a corresponding degree tag, including:
acquiring a state label of a corresponding frequency associated with the buried point according to the trigger frequency to obtain a state label set;
and predefining the state label set to obtain the degree label.
Further, the selecting the at least one status label and the extent label to combine the user identifiers into different user group directories, and sending the user group directories to the database for storage, and then, the selecting the user group directories includes:
acquiring a user identifier of a target user, searching a user group directory containing the user identifier of the target user in the data, and acquiring a historical state label and a degree label of the target user;
obtaining a real-time state label and a degree label according to the real-time user data of the target user;
judging whether the historical state label and the degree label, the real-time state label and the degree label of the same buried point are the same;
and if the difference is not the same, replacing the historical state label and the degree label by the real-time state label and the degree label in the database.
Still provide an online training service pusher, include:
the acquisition module is used for acquiring all user data stored in a database on the same day, and the user data is acquired through a front-end buried point of an online training platform;
the first association module is used for determining parameters of embedded points triggered by a user in the front-end interaction operation according to the user data, and searching state tags associated with the embedded points in a preset tag warehouse;
the second correlation module is used for counting the triggering frequency of each buried point, and matching the state tags associated with the buried points with corresponding degree tags when the triggering frequency reaches a preset threshold value, wherein the degree tags are sub-tags of the state tags;
and the grouping module is used for determining the user identification of each user according to all the user data, combining the user identifications into different user group catalogs by taking at least one state label and one degree label as screening conditions, and sending the different user group catalogs to the database for storage.
An electronic device is also provided, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method for pushing the on-line training service.
A computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the method for pushing the online training service.
The embodiment of the invention has the following advantages:
according to the method and the device, the user data stored on the day are analyzed, the associated state labels are searched in the database according to the embedded points triggered by the users, the triggering frequency of the embedded points is counted, the corresponding state labels are marked with the degree labels, the state labels and the degree labels are used as the screening conditions of the user combination user group, the user group which meets the pushing conditions of the training service can be selected by the platform according to the real-time service requirements, and users which do not meet the conditions on the day can not be located in the user group, so that the popularization of pertinence, high precision and service symmetry is realized.
Drawings
FIG. 1 is a flowchart illustrating steps of an embodiment of a method for pushing online training services according to the present invention.
FIG. 2 is a block diagram of an embodiment of an online training service pushing device according to the invention.
FIG. 3 is a block diagram of a computer device for pushing an online training service according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
An executing subject of the online training service pushing method provided by the embodiment of the application is generally a computer device with certain computing capability, and the computer device includes: a terminal device, which may be a user device, a mobile device, a user terminal, a cellular telephone, a cordless telephone, a personal digital assistant, a handheld device, a computing device, a vehicle device, a wearable device, or the like, or a server or other processing device. In some possible implementations, the user classification model training method and the user classification method may be implemented by a processor calling computer-readable instructions stored in a memory.
The online training service in the embodiment of the application is pushed to the user by the online training platform, and comprises services such as course consultation, course reservation, course purchase, real-time teaching, course playback and the like. The user can input an account name, a password, a contact mode, an identity card number or a mobile phone number into a user registration page on the front end of the online training platform to register the user, so that the user becomes an actual user of the platform.
The online training service pushing method disclosed in the present application is described below by taking an execution subject as a computer device as an example.
Referring to fig. 1, a flowchart illustrating steps of an online training service pushing method according to the present invention is shown, where the steps of the method include:
and S110, acquiring all user data stored in a database on the same day, wherein the user data is acquired through a front-end buried point of an online training platform.
It can be understood that the front end of the online training platform in the application is connected with the SDK, all events and the like can be buried in a front end page indifferently, a user interacts with the front end page to trigger corresponding buried points, and input data, namely user data, of the user on the front end page is recorded.
The computer can analyze the user data and match or make a popularization strategy with pertinence, high precision and symmetrical service, so that the yield of course products of the online training platform is improved, and the economic benefit of a company is improved.
Considering that the user data dynamically changes according to different interactive behaviors of the user in different time periods, the user data collected in real time is only used as a matching basis for popularizing the strategy in a short time, so that the precision requirement of the strategy is ensured, and meanwhile, the processing amount of the computer equipment on the user data can be reduced.
And S120, determining parameters of the buried points triggered by the user in the front-end interaction according to the user data, and searching for state tags associated with the buried points in a preset tag warehouse.
Understandably, the user data can be all data entered by the user on the front-end page, characterizing the interactive behavior generated by the user on the front-end, including but not limited to clicking, registering, typing in data, selecting lessons, browsing, collecting, placing orders, online class taking, post-lesson review, and the like. The method comprises the steps that embedded points are arranged on a node where a front-end page interacts with a user in advance through an SDK, the corresponding embedded points are possibly triggered by each interaction action of the user, the interaction state of the user at the triggered embedded points is represented through predefined state labels, the predefined state labels are pre-associated with the corresponding embedded points, user data in a database are correspondingly obtained, relevant parameters such as positions of the triggered embedded points in the user data are obtained, and the state labels of the user on the same day can be determined.
For example, user a accesses the platform for the first time, fills in information of women, 30 years old, married, general staff and the like during registration, clicks on english lessons on the platform, and exits after browsing. According to the embedded point triggered by the interaction of the A at the front end, tags of a new user, a woman, a 30 year old, a married person, a staff, an English course, browsing and the like can be matched for the A in a tag warehouse, and the definition of the tags represents the state information of the A after entering the platform.
S130, counting the triggering frequency of each buried point, and matching the state label associated with the buried point with a corresponding degree label when the triggering frequency reaches a preset threshold value, wherein the degree label is a sub-label of the state label.
It can be understood that the degree label as a sub-label of the status label can reflect the willingness degree of the user for the current interactive operation, and can also be understood as a further description that the degree label is used as a body label. Specifically, the same embedded point is triggered for multiple times in the interaction process of the user and the front end, the same user data records are generated for multiple times, and the recorded times are counted to confirm the triggering frequency of the user on the embedded point.
When the triggering frequency after counting of a buried point reaches a preset threshold value, for example, a clicks an english course 5 times on a platform, and triggers a state tag of 5 times for the buried point of the english course, five times of records are generated, and the preset state can predefine the triggering frequency of 5 times, and generates a state tag of 5 times of correlation degree of clicking under the english course, wherein the frequency of reaching or exceeding 5 times can be defined as strong, the frequency of 2-4 times can be defined as medium, and the frequency of 1 time can be defined as weak, that is, the english course is interested, generally interested or not interested, and can be customized or modified at any time.
And S140, determining the user identification of each user according to all the user data, combining the user identifications into different user group catalogs by taking at least one state label and one degree label as screening conditions, and sending the different user group catalogs to the database for storage.
Understandably, according to the registration data input when the user registers collected by the front-end buried point, a user identifier capable of distinguishing each user is generated, wherein the registration data comprises an account ID, an account name, a mobile phone number bound with the account ID and the like of the user.
For example, a accesses the platform for the first time and performs account registration, when registering, a enters an account registration interface provided by the platform, and a large amount of basic information related to the a can be acquired through the interface, including but not limited to sex, age, address, birthday, marital status, academic calendar, occupation, preference course and the like, and the more comprehensive the information input by the a is, the more the triggered buried points are, that is, the more the data from the a is acquired; the platform returns a unique account number code, namely an account ID, to the A after the A is successfully registered, and then or before the A triggers, the state label and the degree label which are associated with the buried point are automatically associated with the account ID of the A. Therefore, on user grouping, user identifications meeting the condition are screened out only by appointing the required state label and degree label according to the service requirement, the user identifications are combined into a user group directory and stored, and when the service requirement occurs in real time, the corresponding user group directory is called to popularize the popularization content in the service to the corresponding users; or, according to the real-time requirement of the service, the state label and the degree label required by the service are specified in real time, the user identifications meeting the condition are screened out, and the user identifications are formed into the user group directory again.
In an embodiment, the determining, according to the user data, parameters of buried points triggered by the user in the front-end interaction operation, and searching for a state label associated with each buried point in a preset label warehouse includes:
acquiring user attribute characteristics and behavior characteristics according to the user attribute data and the user behavior data;
constructing an attribute state label according to the user attribute characteristics and constructing a behavior state label according to the user behavior characteristics;
storing the attribute state tags and the behavior state tags in the tag repository.
Understandably, the state of the user is characterized on the attribute characteristics and behavior characteristics of the user, and the attributes comprise basic information as described above, such as the gender, age and the like filled in during registration; the behaviors comprise operation information of the user based on the front end, such as access, selection, clicking and the like;
and acquiring user data of the user in the online training platform through a front end buried point according to the user attribute dimension and the behavior dimension to obtain corresponding user attribute data and user behavior data.
In an embodiment, the counting the triggering frequency of each buried point includes:
triggering the buried point in response to the interactive operation of the user at the front end;
collecting user data corresponding to the buried points, generating records and storing the records in the database;
and counting the recording times of the same user data to obtain the triggering frequency of each buried point.
In one embodiment, said matching the state tag associated with the buried point with the corresponding degree tag when the triggering frequency reaches a predetermined threshold comprises:
acquiring a state label of a corresponding frequency associated with the buried point according to the trigger frequency to obtain a state label set;
and predefining the state label set to obtain the degree label.
The degree label in this embodiment is based on all user data stored in the database on the same day, and is matched after counting the triggering frequency of the embedded point, so that the same state label only matches one degree label, for example, a clicks on the english lesson 5 times, and matches the predefined degree label according to the triggering frequency of 5 times, for example, defined as "strong".
In an embodiment, the combining the user identifiers into different user group directories and sending the user group directories to the database for storage by using at least one status tag and one degree tag as the filtering condition includes:
acquiring a user identifier of a target user, searching a user group directory containing the user identifier of the target user in the data, and acquiring a historical state label and a degree label of the target user;
obtaining a real-time state label and a degree label according to the real-time user data of the target user;
judging whether the historical state label and the degree label, the real-time state label and the degree label of the same buried point are the same;
and if the difference is not the same, replacing the historical state label and the degree label by the real-time state label and the degree label in the database.
It can be understood that the status label and the degree label associated with the target user in the past day user group directory are updated along with the change of the user data of the target user on the current day, for example, the label of a stored in the database on the past day is "english course, strong", while the label of a on the current day is "english course, middle", and replaces the label of the past day "english course, strong", so as to determine the real-time requirement of a;
meanwhile, in the aspect of business, services need to be pushed to users in a user group interested in English courses, and because the labels of the A change, the A does not conform to the users in the user group interested in English courses.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 2, a block diagram of an embodiment of an online training service pushing apparatus according to the present invention is shown, and specifically, the apparatus may include the following modules:
the acquisition module 100 is used for acquiring all user data stored in a database on the same day, wherein the user data is acquired through a front-end buried point of an online training platform;
a first association module 200, configured to determine, according to the user data, parameters of buried points triggered by the user in the front-end interaction operation, and search, in a preset tag repository, state tags associated with the buried points;
a second association module 300, configured to count the trigger frequency of each buried point, and when the trigger frequency reaches a predetermined threshold, match a corresponding degree tag with a state tag associated with the buried point, where the degree tag is a sub-tag of the state tag;
the clustering module 400 is configured to determine user identifiers of users according to all the user data, combine the user identifiers into different user group directories with at least one status tag and one degree tag as a screening condition, and send the user group directories to the database for storage.
In one embodiment, the clustering module 400 includes:
and generating a user identifier capable of distinguishing each user according to registration data input when the user registers, which is collected by the front-end buried point, wherein the registration data comprises an account ID, an account name and a mobile phone number bound with the account ID of the user.
In one embodiment, the acquisition module 100 includes:
and acquiring user data of the user in the online training platform through a front end buried point according to the user attribute dimension and the behavior dimension to obtain corresponding user attribute data and user behavior data.
In one embodiment, the first association module 200 includes:
acquiring user attribute characteristics and behavior characteristics according to the user attribute data and the user behavior data;
constructing an attribute state label according to the user attribute characteristics and constructing a behavior state label according to the user behavior characteristics;
storing the attribute state tags and the behavior state tags in the tag repository.
In one embodiment, the second association module 300 includes:
triggering the buried point in response to the interactive operation of the user at the front end;
collecting user data corresponding to the buried points, generating records and storing the records in the database;
and counting the recording times of the same user data to obtain the triggering frequency of each buried point.
In an embodiment, the second association module 300 further includes:
acquiring a state label of a corresponding frequency associated with the buried point according to the trigger frequency to obtain a state label set;
and predefining the state label set to obtain the degree label.
In one embodiment, the clustering module 400 includes:
acquiring a user identifier of a target user, searching a user group directory containing the user identifier of the target user in the data, and acquiring a historical state label and a degree label of the target user;
obtaining a real-time state label and a degree label according to the real-time user data of the target user;
judging whether the historical state label and the degree label, the real-time state label and the degree label of the same buried point are the same;
and if the difference is not the same, replacing the historical state label and the degree label by the real-time state label and the degree label in the database.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
Referring to fig. 3, a computer device for pushing an online training service according to the present invention is shown, which may specifically include the following:
in an embodiment of the present invention, the present invention further provides a computer device, where the computer device 12 is represented in a general computing device, and the components of the computer device 12 may include but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 31 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (commonly referred to as "hard drives"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42, with the program modules 42 configured to carry out the functions of embodiments of the invention.
A program/utility 41 having a set (at least one) of program modules 42 may be stored, for example, in memory, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules 42, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing, such as implementing an online training service push method provided by an embodiment of the present invention, by executing programs stored in the system memory 28.
That is, the processing unit 16 implements, when executing the program: acquiring all user data stored in a database on the same day, wherein the user data is acquired through a front-end buried point of an online training platform; determining parameters of buried points triggered by a user in the front-end interactive operation according to the user data, and searching state tags associated with the buried points in a preset tag warehouse; counting the triggering frequency of each buried point, and matching a corresponding degree label to a state label associated with the buried point when the triggering frequency reaches a preset threshold value, wherein the degree label is a sub-label of the state label; and determining the user identification of each user according to all the user data, combining the user identifications into different user group catalogs by taking at least one state label and one degree label as screening conditions, and sending the different user group catalogs to the database for storage.
In an embodiment of the present invention, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method for pushing online training service as provided in all embodiments of the present application.
That is, the program when executed by the processor implements: acquiring all user data stored in a database on the same day, wherein the user data is acquired through a front-end buried point of an online training platform; determining parameters of buried points triggered by a user in the front-end interactive operation according to the user data, and searching state tags associated with the buried points in a preset tag warehouse; counting the triggering frequency of each buried point, and matching a corresponding degree label to a state label associated with the buried point when the triggering frequency reaches a preset threshold value, wherein the degree label is a sub-label of the state label; and determining the user identification of each user according to all the user data, combining the user identifications into different user group catalogs by taking at least one state label and one degree label as screening conditions, and sending the different user group catalogs to the database for storage.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer-readable storage medium or a computer-readable signal medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPOM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of 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, embodiments of 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.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (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 terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, 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 terminal 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 terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. 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 terminal that comprises the element.
The method and the device for pushing the on-line training service provided by the invention are described in detail, a specific example is applied in the method to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An online training service pushing method is characterized by comprising the following steps:
acquiring all user data stored in a database on the same day, wherein the user data is acquired through a front-end buried point of an online training platform;
determining parameters of buried points triggered by a user in the front-end interactive operation according to the user data, and searching state tags associated with the buried points in a preset tag warehouse;
counting the triggering frequency of each buried point, and matching a corresponding degree label to a state label associated with the buried point when the triggering frequency reaches a preset threshold value, wherein the degree label is a sub-label of the state label;
and determining the user identification of each user according to all the user data, combining the user identifications into different user group catalogs by taking at least one state label and one degree label as screening conditions, and sending the different user group catalogs to the database for storage.
2. The method of claim 1, wherein determining the user identifier of each user according to all the user data comprises:
and generating a user identifier capable of distinguishing each user according to registration data input when the user registers, which is collected by the front-end buried point, wherein the registration data comprises an account ID, an account name and a mobile phone number bound with the account ID of the user.
3. The method of claim 1, wherein obtaining all user data stored in a database during the current day, the user data collected via a front end pad of an online training platform, comprises:
and acquiring user data of the user in the online training platform through a front end buried point according to the user attribute dimension and the behavior dimension to obtain corresponding user attribute data and user behavior data.
4. The method of claim 3, wherein the status tags comprise attribute status tags and behavior status tags, and the determining parameters of the burial points triggered by the user in the front-end interaction operation according to the user data, and searching the status tags associated with the respective burial points in a preset tag repository comprises:
acquiring user attribute characteristics and behavior characteristics according to the user attribute data and the user behavior data;
constructing an attribute state label according to the user attribute characteristics and constructing a behavior state label according to the user behavior characteristics;
storing the attribute state tags and the behavior state tags in the tag repository.
5. The method of claim 1, wherein said counting the triggering frequency of each of said buried points comprises:
triggering the buried point in response to the interactive operation of the user at the front end;
collecting user data corresponding to the buried points, generating records and storing the records in the database;
and counting the recording times of the same user data to obtain the triggering frequency of each buried point.
6. The method of claim 1, wherein matching the state label associated with the buried point to a corresponding degree label when the trigger frequency reaches a predetermined threshold comprises:
acquiring a state label of a corresponding frequency associated with the buried point according to the trigger frequency to obtain a state label set;
and predefining the state label set to obtain the degree label.
7. The method according to claim 1, wherein the selecting condition of at least one status label and degree label is to combine the user identifiers into different user group directories and send the user group directories to the database for storage, and then the method comprises:
acquiring a user identifier of a target user, searching a user group directory containing the user identifier of the target user in the data, and acquiring a historical state label and a degree label of the target user;
obtaining a real-time state label and a degree label according to the real-time user data of the target user;
judging whether the historical state label and the degree label, the real-time state label and the degree label of the same buried point are the same;
and if the difference is not the same, replacing the historical state label and the degree label by the real-time state label and the degree label in the database.
8. The utility model provides an online training service pusher which characterized in that includes:
the acquisition module is used for acquiring all user data stored in a database on the same day, and the user data is acquired through a front-end buried point of an online training platform;
the first association module is used for determining parameters of embedded points triggered by a user in the front-end interaction operation according to the user data, and searching state tags associated with the embedded points in a preset tag warehouse;
the second correlation module is used for counting the triggering frequency of each buried point, and matching the state tags associated with the buried points with corresponding degree tags when the triggering frequency reaches a preset threshold value, wherein the degree tags are sub-tags of the state tags;
and the grouping module is used for determining the user identification of each user according to all the user data, combining the user identifications into different user group catalogs by taking at least one state label and one degree label as screening conditions, and sending the different user group catalogs to the database for storage.
9. Electronic device, characterized in that it comprises a processor, a memory and a computer program stored on said memory and capable of running on said processor, said computer program, when executed by said processor, implementing the method according to any one of claims 1 to 7.
10. Computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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