CN113077147A - Intelligent student course pushing method and system and terminal equipment - Google Patents
Intelligent student course pushing method and system and terminal equipment Download PDFInfo
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Abstract
The invention provides a student course intelligent pushing method, a student course intelligent pushing system and terminal equipment, wherein the method comprises the following steps: acquiring a pre-established student portrait of a target user; the student portrait of the target user comprises a description label set corresponding to the target user and description label values of all description labels in the description label set; determining a push course type corresponding to a target user based on a description label set corresponding to the target user; determining the course difficulty of the pushed course type corresponding to the target user based on the description label value of each description label corresponding to the target user; and selecting pushed course contents according to the pushed course type corresponding to the target user and the course difficulty, and sending the course pushed contents to the client corresponding to the target user. The intelligent student course pushing method, the intelligent student course pushing system and the intelligent student course pushing terminal device can be used for reasonably formulating and pushing course contents for power grid workers.
Description
Technical Field
The invention belongs to the technical field of data analysis, and particularly relates to a student course intelligent pushing method, a student course intelligent pushing system and terminal equipment.
Background
At present, in order to improve the operation capacity of power grid workers, power grid enterprises often make training plans for the power grid workers, but different workers have different professional backgrounds and operation levels, and how to make course content rationalization and push for the power grid workers becomes a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a student course intelligent pushing method, a student course intelligent pushing system and terminal equipment, which are used for reasonably formulating and pushing course contents for power grid workers.
In a first aspect of the embodiments of the present invention, a method for intelligently pushing lessons of students is provided, where the method includes:
acquiring a pre-established student portrait of a target user; the student portrait of the target user comprises a description label set corresponding to the target user and description label values of all description labels in the description label set;
determining a push course type corresponding to a target user based on a description label set corresponding to the target user;
determining the course difficulty of the pushed course type corresponding to the target user based on the description label value of each description label corresponding to the target user;
and selecting pushed course contents according to the pushed course type corresponding to the target user and the course difficulty, and sending the course pushed contents to the client corresponding to the target user.
In a second aspect of the embodiments of the present invention, an intelligent student course pushing system is provided, including:
the data acquisition module is used for acquiring a pre-established student portrait of a target user; the student portrait of the target user comprises a description label set corresponding to the target user and description label values of all description labels in the description label set;
the course type determining module is used for determining a pushed course type corresponding to the target user based on the description tag set corresponding to the target user;
the course difficulty determining module is used for determining the course difficulty of the pushed course type corresponding to the target user based on the description label value of each description label corresponding to the target user;
and the course pushing module is used for selecting pushed course contents according to the pushed course type corresponding to the target user and the course difficulty and sending the course pushed contents to the client corresponding to the target user.
In a third aspect of the embodiments of the present invention, there is provided a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the above student course intelligent pushing method when executing the computer program.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps of the above-mentioned student course intelligent pushing method.
The intelligent student course pushing method, the intelligent student course pushing system and the terminal equipment provided by the embodiment of the invention have the beneficial effects that: the method is different from the mode of directly making and pushing the training courses according to the user posts in the prior art, and the method realizes the making and pushing of the courses based on the pre-established user figures. The intelligent pushing method provided by the invention not only determines the course type based on the user portrait, but also determines the course difficulty based on the user portrait, so that the accuracy of course pushing can be effectively improved, and more reasonable and personalized course content making and pushing can be realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for intelligently pushing lessons of a student according to an embodiment of the present invention;
fig. 2 is a block diagram illustrating a structure of an intelligent student course pushing system according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for intelligently pushing lessons of a student according to an embodiment of the present invention, where the method includes:
s101: the method comprises the steps of obtaining a pre-established student portrait of a target user, wherein the student portrait of the target user comprises a description label set corresponding to the target user and description label values of description labels in the description label set.
In this embodiment, the trainee portrait of each user may be pre-established, wherein the establishment process of the trainee portrait of each user may be:
training plan data recorded in the power system is acquired.
And generating a user portrait template based on training plan data, wherein the training plan data comprises various training contents of plan training.
And determining a user portrait template corresponding to the target user according to the training content combination participated by the target user.
The user attribute information of the target user is obtained, and the student portrait of the target user is established based on the user attribute information of the target user and the user portrait template corresponding to the target user.
Wherein the training plan data comprises historical online training data and historical offline training data.
In this embodiment, the user attribute information of the target user includes, but is not limited to, professional information, academic information, job title information, post information, training achievement information, and the like of the target user.
S102: and determining the type of the pushed course corresponding to the target user based on the description label set corresponding to the target user.
In this embodiment, the pushed course type corresponding to the target user may be determined based on each description tag in the description tag set corresponding to the target user.
S103: and determining the course difficulty of the pushed course type corresponding to the target user based on the description label values of the description labels corresponding to the target user.
In this embodiment, the lower the description tag value, the lower the lesson difficulty.
S104: and selecting the pushed course content according to the pushed course type and the course difficulty corresponding to the target user, and sending the course pushed content to the client corresponding to the target user.
In this embodiment, the corresponding pushed course content may be selected from the database, and the course pushed content (or a link thereof) is sent to the client corresponding to the target user.
The method and the device have the advantage that the method and the device are different from the mode of training course formulation and pushing directly according to the user post in the prior art, and the embodiment of the invention realizes the course formulation and pushing based on the pre-established user portrait. The intelligent pushing method provided by the embodiment of the invention not only determines the course type based on the user portrait, but also determines the course difficulty based on the user portrait, so that the accuracy of course pushing can be effectively improved, and more reasonable and personalized course content making and pushing can be realized.
Optionally, as a specific implementation manner of the intelligent student course pushing method provided by the embodiment of the present invention, the generating of the user portrait template based on the training plan data includes:
and establishing a description label for each training content.
The training plan data are arranged and combined to obtain multiple training content combinations and first description label sets corresponding to the various training content combinations, and the first description label sets corresponding to the various training content combinations are used as user image templates.
In this embodiment, the description tags may be selected from dimensions such as collaborative collaboration, relationship processing, interpersonal communication, conflict management, technical skills, and the like. The first description label set is a set of description labels corresponding to all training contents in the training content combination corresponding to the first description label set.
Optionally, as a specific implementation manner of the intelligent student course pushing method provided by the embodiment of the present invention, the determining, according to the training content combination in which the target user participates, the user portrait template corresponding to the target user includes:
and combining the training contents participated by the target user with the corresponding first description label set to serve as a user portrait template corresponding to the target user.
Optionally, as a specific implementation manner of the intelligent student course pushing method provided by the embodiment of the present invention, after obtaining a plurality of training content combinations and a first description tag set corresponding to each of the training content combinations, a user portrait template corresponding to each of the training content combinations is generated based on training plan data, and the intelligent student course pushing method may further include:
and clustering various training content combinations to obtain a plurality of combined data classes.
And combining the first description label sets corresponding to the training content combinations belonging to the same combined data class to obtain the second description label sets corresponding to the combined data classes, and taking the second description label sets corresponding to the combined data classes as user image templates.
In this embodiment, the specific method of clustering may be: a K-means clustering algorithm, a DBSCAN algorithm and the like.
Optionally, as a specific implementation manner of the intelligent student course pushing method provided by the embodiment of the present invention, the determining the user portrait template corresponding to the target user according to the training content combination in which the target user participates may further include:
and determining a combined data class to which the training content combination participated by the target user belongs, and taking a second description label set corresponding to the combined data class to which the training content combination participated by the target user belongs as an portrait template corresponding to the target user.
That is, the user-corresponding portrait template may be determined directly from the training content combination to which the user belongs, or may be determined from the combination data class to which the training content combination to which the user belongs, which may greatly reduce the amount of computation for generating subsequent trainee portraits, thereby improving trainee portraits generation efficiency.
Optionally, as a specific implementation manner of the intelligent student course pushing method provided by the embodiment of the present invention, the user attribute information of the target user includes professional information, academic calendar information, job title information, post information, and training result information of the target user. The user portrait template is a set of tags consisting of descriptive tags.
Establishing a student portrait of a target user based on user attribute information of the target user and a user portrait template corresponding to the target user, comprising:
and assigning values to each description label of the label set corresponding to the target user based on the professional information, the academic information, the job title information and the post information of the target user.
And correcting the description label value corresponding to the target user based on the training result information of the target user.
And each description label in the label set corresponding to the target user and each description label value form a student portrait of the target user.
In this embodiment, corresponding weights (i.e., assignment values) can be given to the description tags of the tag set corresponding to the target user according to the professional information, the academic calendar information, the job title information and the post information of the target user, and finally, the weights (i.e., the description tag values) are adjusted based on the learning achievement (i.e., the training achievement information) of the target user, so as to obtain the student figure of the target user.
Optionally, as a specific implementation manner of the intelligent student course pushing method provided in the embodiment of the present invention, determining a type of a pushed course corresponding to a target user based on a description tag set corresponding to the target user includes:
and determining the type of the pushed course corresponding to the target user according to the description label set corresponding to the target user and a preset course corresponding table.
The course correspondence table comprises a corresponding relation between the description label and the course type.
Optionally, as a specific implementation manner of the intelligent student course pushing method provided in the embodiment of the present invention, determining the course difficulty of the pushed course type corresponding to the target user based on the description tag values of the description tags corresponding to the target user includes:
and determining a preset range to which the description label value of each description label corresponding to the target user belongs.
And determining the course difficulty of the course type pushed by the target user according to the preset range of each description label value corresponding to the target user.
In this embodiment, the correspondence between each preset range corresponding to the description tag value and the course difficulty may be preset, and when determining the course difficulty, the course difficulty of the pushed course type corresponding to the target user may be directly determined in the preset range to which each description tag value corresponding to the target user belongs.
Fig. 2 is a block diagram of a structure of an intelligent student course pushing system according to an embodiment of the present invention, which corresponds to the intelligent student course pushing method according to the foregoing embodiment. For convenience of explanation, only portions related to the embodiments of the present invention are shown. Referring to fig. 2, the intelligent student course pushing system 20 includes: the system comprises a data acquisition module 21, a course type determination module 22, a course difficulty determination module 23 and a course pushing module 24.
The data acquisition module 21 is configured to acquire a pre-established student portrait of the target user. The student portrait of the target user comprises a description label set corresponding to the target user and description label values of all description labels in the description label set.
And a course type determining module 22, configured to determine a push course type corresponding to the target user based on the description tag set corresponding to the target user.
The course difficulty determining module 23 is configured to determine a course difficulty of the pushed course type corresponding to the target user based on the description tag values of the description tags corresponding to the target user.
The course pushing module 24 is configured to select pushed course content according to the pushed course type and the course difficulty corresponding to the target user, and send the course pushed content to the client corresponding to the target user.
Optionally, as a specific implementation manner of the intelligent student course pushing system provided by the embodiment of the present invention, the intelligent student course pushing system further includes a student portrait creating module 25, where the student portrait creating module 25 is configured to create a student portrait of the target user. Creating a student representation of the target user comprises:
training plan data recorded in the power system is acquired.
And generating a user portrait template based on training plan data, wherein the training plan data comprises various training contents of plan training.
And determining a user portrait template corresponding to the target user according to the training content combination participated by the target user.
The user attribute information of the target user is obtained, and the student portrait of the target user is established based on the user attribute information of the target user and the user portrait template corresponding to the target user.
Optionally, as a specific implementation manner of the intelligent student course pushing system provided in the embodiment of the present invention, the generating of the user portrait template based on the training plan data includes:
and establishing a description label for each training content.
The training plan data are arranged and combined to obtain multiple training content combinations and first description label sets corresponding to the various training content combinations, and the first description label sets corresponding to the various training content combinations are used as user image templates.
Optionally, as a specific implementation manner of the intelligent student course pushing system provided in the embodiment of the present invention, the determining, according to the training content combination in which the target user participates, the user portrait template corresponding to the target user includes:
and combining the training contents participated by the target user with the corresponding first description label set to serve as a user portrait template corresponding to the target user.
Optionally, as a specific implementation manner of the intelligent student course pushing system provided by the embodiment of the present invention, the user attribute information of the target user includes professional information, academic calendar information, job title information, post information, and training result information of the target user. The user portrait template is a set of tags consisting of descriptive tags.
Establishing a student portrait of a target user based on user attribute information of the target user and a user portrait template corresponding to the target user, comprising:
and assigning values to each description label of the label set corresponding to the target user based on the professional information, the academic information, the job title information and the post information of the target user.
And correcting the description label value corresponding to the target user based on the training result information of the target user.
And each description label in the label set corresponding to the target user and each description label value form a student portrait of the target user.
Optionally, as a specific implementation manner of the intelligent student course pushing system provided in the embodiment of the present invention, determining a type of a pushed course corresponding to a target user based on a description tag set corresponding to the target user includes:
and determining the type of the pushed course corresponding to the target user according to the description label set corresponding to the target user and a preset course corresponding table.
The course correspondence table comprises a corresponding relation between the description label and the course type.
Optionally, as a specific implementation manner of the intelligent student course pushing system provided in the embodiment of the present invention, the determining, based on the description tag values of the description tags corresponding to the target user, the course difficulty of the pushed course type corresponding to the target user includes:
and determining a preset range to which the description label value of each description label corresponding to the target user belongs.
And determining the course difficulty of the course type pushed by the target user according to the preset range of each description label value corresponding to the target user.
Referring to fig. 3, fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention. The terminal 300 in the present embodiment as shown in fig. 3 may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processor 301, the input device 302, the output device 303, and the memory 304 are in communication with each other via a communication bus 305. The memory 304 is used to store a computer program comprising program instructions. Processor 301 is operative to execute program instructions stored in memory 304. Wherein the processor 301 is configured to call program instructions to perform the following functions of operating the modules/units in the system embodiments described above, such as the functions of the modules 21 to 25 shown in fig. 2.
It should be understood that, in the embodiment of the present invention, the Processor 301 may be a Central Processing Unit (CPU), and the Processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 302 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.
The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store device type information.
In a specific implementation, the processor 301, the input device 302, and the output device 303 described in this embodiment of the present invention may execute the implementation manners described in the first embodiment and the second embodiment of the intelligent student course pushing method provided in this embodiment of the present invention, and may also execute the implementation manner of the terminal described in this embodiment of the present invention, which is not described herein again.
In another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement all or part of the processes in the method of the above embodiments, and may also be implemented by a computer program instructing associated hardware, and the computer program may be stored in a computer-readable storage medium, and the computer program, when executed by a processor, may implement the steps of the above methods embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The computer readable storage medium may be an internal storage unit of the terminal of any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk provided on the terminal, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing a computer program and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described system embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces or units, and may also be an electrical, mechanical or other form of connection.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent student course pushing method is characterized by comprising the following steps:
acquiring a pre-established student portrait of a target user; the student portrait of the target user comprises a description label set corresponding to the target user and description label values of all description labels in the description label set;
determining a push course type corresponding to a target user based on a description label set corresponding to the target user;
determining the course difficulty of the pushed course type corresponding to the target user based on the description label value of each description label corresponding to the target user;
and selecting pushed course contents according to the pushed course type corresponding to the target user and the course difficulty, and sending the course pushed contents to the client corresponding to the target user.
2. The intelligent student class pushing method of claim 1 further comprising creating a student representation of the target user; the establishing of the student portrait of the target user comprises the following steps:
acquiring training plan data recorded in a power system;
generating a user portrait template based on the training plan data, wherein the training plan data comprises various training contents of plan training;
determining a user portrait template corresponding to a target user according to training content combination participated by the target user;
the user attribute information of the target user is obtained, and the student portrait of the target user is established based on the user attribute information of the target user and the user portrait template corresponding to the target user.
3. The intelligent student lesson pushing method as claimed in claim 2, wherein the generating of the user portrayal template based on the training plan data comprises:
establishing a description label for each item of training content;
and arranging and combining the training plan data to obtain a plurality of training content combinations and first description label sets corresponding to the various training content combinations, and taking the first description label sets corresponding to the various training content combinations as user image templates.
4. The intelligent student course pushing method as claimed in claim 3, wherein the determining the user portrait template corresponding to the target user according to the training content combination participated by the target user comprises:
and combining the training contents participated by the target user with the corresponding first description label set to serve as a user portrait template corresponding to the target user.
5. The intelligent student course pushing method as claimed in claim 2, wherein the user attribute information of the target user includes professional information, academic information, job title information, post information and training score information of the target user; the user portrait template is a label set consisting of description labels;
the establishment of the student portrait of the target user based on the user attribute information of the target user and the user portrait template corresponding to the target user comprises the following steps:
assigning values to each description label of a label set corresponding to the target user based on professional information, academic information, job title information and post information of the target user;
correcting the description label value corresponding to the target user based on the training result information of the target user;
and each description label in the label set corresponding to the target user and each description label value form a student portrait of the target user.
6. The intelligent student course pushing method as claimed in claim 1, wherein the determining the type of the pushed course corresponding to the target user based on the description tag set corresponding to the target user comprises:
determining a pushed course type corresponding to a target user according to a description label set corresponding to the target user and a preset course correspondence table;
the course correspondence table comprises a description label and a correspondence relation of course types.
7. The intelligent student course pushing method as claimed in claim 1, wherein the determining the course difficulty level of the pushed course type corresponding to the target user based on the description tag value of each description tag corresponding to the target user comprises:
determining a preset range to which the description label value of each description label corresponding to the target user belongs;
and determining the course difficulty of the course type pushed by the target user according to the preset range of each description label value corresponding to the target user.
8. The utility model provides a student's course intelligence push system which characterized in that includes:
the data acquisition module is used for acquiring a pre-established student portrait of a target user; the student portrait of the target user comprises a description label set corresponding to the target user and description label values of all description labels in the description label set;
the course type determining module is used for determining a pushed course type corresponding to the target user based on the description tag set corresponding to the target user;
the course difficulty determining module is used for determining the course difficulty of the pushed course type corresponding to the target user based on the description label value of each description label corresponding to the target user;
and the course pushing module is used for selecting pushed course contents according to the pushed course type corresponding to the target user and the course difficulty and sending the course pushed contents to the client corresponding to the target user.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN113837322A (en) * | 2021-11-04 | 2021-12-24 | 中国联合网络通信集团有限公司 | Course classification processing method, device, equipment and medium |
| CN114881827A (en) * | 2022-06-21 | 2022-08-09 | 武汉小绵羊教育咨询有限公司 | Remote online education training method and system based on Internet and storage medium |
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| CN109740048A (en) * | 2018-12-12 | 2019-05-10 | 中国联合网络通信集团有限公司 | A kind of course recommended method and device |
| US20200234606A1 (en) * | 2019-01-22 | 2020-07-23 | International Business Machines Corporation | Personalized educational planning based on user learning profile |
| CN112199594A (en) * | 2020-10-14 | 2021-01-08 | 绿瘦健康产业集团有限公司 | Training content pushing method and system |
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| CN109740048A (en) * | 2018-12-12 | 2019-05-10 | 中国联合网络通信集团有限公司 | A kind of course recommended method and device |
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