CN110472834A - A kind of method, apparatus, storage medium and server pushing course - Google Patents
A kind of method, apparatus, storage medium and server pushing course Download PDFInfo
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Abstract
The present invention relates to field of computer technology, propose a kind of method, apparatus, storage medium and server for pushing course.The present invention constructs multiple users' portrait models in advance, each user's portrait model respectively corresponds a kind of career development type, by the way that the personal information of user is inputted these users portrait model, the career development type of the user can be determined according to the output result of each user portrait model；Then ability item rating model corresponding with the career development type is chosen again, the scoring of each ability item of the user is calculated using the Rating Model, the minimum ability item that scores is found out according to the height of scoring, the as ability item short slab of the user, so as to targetedly push with the associated course of ability item short slab, improve the effect of training.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of method, apparatus for pushing course, storage medium kimonos
Business device.
Background technique
In order to promote the level of skill of employee, many enterprises can carry out some training courses every now and then, it is desirable that employee is unified
It participates in or is selectively participated according to the demand of itself.However, since the individual characteristic of each employee is different, and very
The positioning of employee's short slab long for self-ability item is also less clear when more, therefore uses above two mode cannot be accurately
Suitable course is pushed for employee, causes result of training bad.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of method, apparatus, storage medium and server for pushing course,
The long short slab of ability item of each user can be positioned, to push course, targetedly to improve the effect of training.
The embodiment of the present invention in a first aspect, provide it is a kind of push course method, comprising:
Obtain the personal information of user；
The personal information is inputted to the multiple users portrait model constructed in advance respectively, and is drawn according to each user
As the output result of model determines the career development type of the user, each user model of drawing a portrait corresponds to a kind of career development class
Type, user's portrait model are obtained by the personal information for corresponding to multiple sample of users of career development type as training set training
；
Choose ability item rating model corresponding with the career development type of the user；
Ability item rating model and the personal information in conjunction with selection calculate separately each ability item of the user
Scoring, the ability item refer to each ability factor item constructed in advance；
The ability item for the minimum preset quantity that scores is determined as to the ability item short slab of the user；
To user push and the associated course of ability item short slab.
The second aspect of the embodiment of the present invention provides a kind of device for pushing course, comprising:
Personal information obtains module, for obtaining the personal information of user；
Career development determination type module, for the personal information to be inputted to the multiple users constructed in advance portrait respectively
Model, and the career development type of the user, each user are determined according to the draw a portrait output result of model of each user
Portrait model correspond to a kind of career development type, and user's portrait model is by corresponding to multiple sample of users of career development type
Personal information as training set training obtain；
Ability item rating model chooses module, comments for choosing ability item corresponding with the career development type of the user
Sub-model；
Ability item rating module, in conjunction with selection ability item rating model and the personal information, calculate separately institute
The scoring of each ability item of user is stated, the ability item refers to each ability factor item constructed in advance；
Ability item short slab determining module, for the ability item for the minimum preset quantity that scores to be determined as to the energy of the user
Power item short slab；
Course pushing module, for being pushed and the associated course of ability item short slab to the user.
The third aspect of the embodiment of the present invention, provides a kind of computer readable storage medium, described computer-readable to deposit
Storage media is stored with computer-readable instruction, and such as the embodiment of the present invention is realized when the computer-readable instruction is executed by processor
First aspect propose push course method the step of.
The fourth aspect of the embodiment of the present invention, provides a kind of server, including memory, processor and is stored in institute
The computer-readable instruction that can be run in memory and on the processor is stated, the processor executes described computer-readable
The step of method for the push course that the first aspect such as the embodiment of the present invention proposes is realized when instruction.
The application constructs multiple users' portrait models in advance, and each user's portrait model respectively corresponds a kind of career development
Type, by the way that the personal information of user is inputted these users portrait model, according to the output result of each user portrait model
It can determine the career development type of the user；Then ability item rating model corresponding with the career development type is chosen again,
The scoring that each ability item of the user is calculated using the Rating Model finds out the minimum ability that scores according to the height of scoring
, the as ability item short slab of the user improves so as to targetedly push and the associated course of ability item short slab
The effect of training.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of flow chart of one embodiment of method for pushing course provided in an embodiment of the present invention；
Fig. 2 is a kind of flow chart of second embodiment of method for pushing course provided in an embodiment of the present invention；
Fig. 3 is a kind of flow chart of the third embodiment of method for pushing course provided in an embodiment of the present invention；
Fig. 4 is a kind of structure chart of one embodiment of device for pushing course provided in an embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of server provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides a kind of method, apparatus, storage medium and servers for pushing course, can position each
The strengths and weaknesses of a user, to push course, targetedly to improve the effect of training.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, a kind of one embodiment of method for pushing course includes: in the embodiment of the present invention
101, the personal information of user is obtained；
Firstly, obtaining the personal information of user, which be can include but is not limited to: basic information (such as name,
Gender, age etc.), family information, performance information, attendance information and the customer resources information having.Specifically, one can be constructed
A course supplying system, on the one hand can be by related personnel (such as user itself or the administrative staff for carrying out training) by user
Personal information input system；On the other hand the personal letter of the user can be transferred by the manpower archives economy of docking enterprise
Breath.
102, the personal information is inputted to the multiple users portrait model constructed in advance respectively, and according to each use
The output result of family portrait model determines the career development type of the user；
After the personal information for obtaining user, these personal information can be inputted respectively to the multiple users constructed in advance
It draws a portrait model, and the career development type of the user, each portrait model is determined according to the output result of each portrait model
Respectively correspond a kind of career development type, the user draws a portrait model by corresponding to of multiple sample of users of career development type
People's information is obtained as training set training.
Specifically, it is each portrait model can export a similarity as a result, by the highest portrait mould of similarity result
Career development type corresponding to type is determined as the career development type of the user.For example, being directed to the career development class of business personnel
Type has resource-type, koinotropic type, diligent type, sales type and 5 kinds comprehensive, then constructs one respectively for every kind of career development type
Portrait model, then inputs this 5 portrait models for the personal information of user, each portrait model can export a phase respectively
Like degree as a result, if result be resource-type -90%, koinotropic type -75%, diligent type -60%, sales type -30%, it is comprehensive -
20%, then it can determine that the career development type of the user is the highest resource-type of similarity.Wherein, some portrait model passes through pre-
The personal information training for the multiple sample of users first collected is completed.For example, being to collect in advance for the portrait model of resource-type
The personal information of multiple (such as 10000) user for being resources defined as type obtained as training set training.For society
The portrait model of friendship type is the personal information for being defined as the user of koinotropic type with multiple (such as 10000) for collecting in advance
It is obtained as training set training.
103, ability item rating model corresponding with the career development type of the user is chosen；
After determining the career development type of user, ability item rating mould corresponding with the career development type is chosen
Type.Ability item refers to each ability factor item constructed in advance, such as the ability to set objectives, ability, the system of executive plan
Make ability, the ability of product mix sale etc. of bidding documents.Ability item rating model can be counted in conjunction with the personal information of user
It calculates, obtains the scoring of each ability item of the user.For the user of different occupation development type, different abilities is respectively adopted
Item rating model calculates score value.
104, in conjunction with the ability item rating model of selection and the personal information, each ability of the user is calculated separately
The scoring of item, the ability item refer to each ability factor item constructed in advance；
Then, in conjunction with the ability item rating model of selection and the personal information, each energy of the user is calculated separately
The scoring of power item.
Further, if choosing ability item rating model corresponding less than career development type with the user, institute
The scoring for stating any one target capability item of user can be determined by following steps:
(1) target value of partial information relevant to the target capability item is extracted from the personal information；
(2) the corresponding each scoring a reference value of the target value and the target capability item is compared, according to comparing
Result determine the scoring of the target capability item.
For example, extracting product from the personal information of user for some ability item-product mix sale ability
Sales achievement amount is as target value；The target value is compared with each scoring a reference value pre-set respectively, such as
100 points of 300,000 achievements of correspondence, 90 points of 200,000 achievements of correspondence, 60 points of 50,000 achievements of correspondence, if the target value is 200,000, it is determined that should
The scoring of ability item is 90.
Specifically, the scoring of any one target capability item of the user can be determined by following steps:
(1) target Rating Model corresponding with the target capability item is chosen, the target Rating Model is by the mesh
The neural network mould that the personal information for the multiple sample of users being worth on the basis of the scoring of mark ability item is obtained as training set training
Type；
(2) personal information of the user is inputted into the target Rating Model, and according to the target Rating Model
Output result determines the scoring of the target capability item.
For example, the available ability item is some scoring benchmark for some ability item-product mix sale ability
The personal information of multiple sample of users of (such as 100 points) constructs a neural network model as training set；It then will be described
The personal information of user inputs the neural network model, obtains the output of a matching degree as a result, finally can be according to matching degree
Size determine the scoring of the ability item.For example, matching degree >=90% item scoring 100, matching degree >=80% item scoring 90, matching
>=60% scoring 70 of degree, and so on.
105, the ability item for the minimum preset quantity that scores is determined as to the ability item short slab of the user；
106, Xiang Suoshu user's push and the associated course of ability item short slab.
It scores the ability item of minimum preset quantity (such as 2) finally, searching the user, the ability item as the user
Short slab, and be user push and the associated course of ability short slab, system construct in advance each ability item and each course it
Between corresponding relationship.
The embodiment of the present invention constructs multiple users' portrait models in advance, and each user's portrait model respectively corresponds a kind of duty
Industry development type, by the way that the personal information of user is inputted these users portrait model, according to the defeated of each user portrait model
Result can determine the career development type of the user out；Then ability item rating corresponding with the career development type is chosen again
Model calculates the scoring of each ability item of the user using the Rating Model, and it is minimum to find out scoring according to the height of scoring
Ability item, as the ability item short slab of the user, so as to targetedly push with the associated course of ability item short slab,
Improve the effect of training.
Referring to Fig. 2, a kind of second embodiment of method for pushing course includes: in the embodiment of the present invention
201, the personal information of user is obtained；
Step 210 is identical as step 101, specifically can refer to the related description of step 101.
202, working team locating for the user is inquired；
203, occupation corresponding to each personnel for having determined that career development type in the working team is counted respectively to send out
Open up type；
204, the personnel amount in the corresponding working team of every kind of career development type is counted respectively relative to described
The quantity accounting of the total number of persons of working team；
205, each occupation is arranged successively according to the sequence of the quantity accounting of corresponding career development type from high to low
The corresponding user's portrait model of development type；
206, each user's portrait model after the personal information to be sequentially input to arrangement；
In addition, during the personal information to be sequentially input to each user's portrait model after arrangement, if
The matching degree of any one user portrait model output is more than preset threshold (such as 90%), then stops the personal information is defeated
Enter next user's portrait model, and the corresponding career development type of the portrait model is determined as to the career development class of the user
Type.
For step 202-206, it is illustrated below: assuming that user is in selling group A, it include 130 users in A,
Wherein 100 users have been completed the classification of career development type.If this 100 in sorted users, 60 belong to resource
Type, 30 belong to koinotropic type, and 10 belong to diligent type, then when the personal information of user is inputted each portrait model, according to
The sequence of the diligent type of resource-type-koinotropic type-is arranged successively this 3 portrait models, i.e., preferentially inputs the portrait model of resource-type.Place
More or less all there is centainly anabolic in the user of same working team, career development type is more approximate, and use is this
The portrait model that mode can be passed through with priority match maximum probability matching, so that the classification of user be rapidly completed.
207, the career development type of the user is determined according to the output result of each user's portrait model；
208, ability item rating model corresponding with the career development type of the user is chosen；
209, in conjunction with the ability item rating model of selection and the personal information, each ability of the user is calculated separately
The scoring of item, the ability item refer to each ability factor item constructed in advance；
210, the ability item for the minimum preset quantity that scores is determined as to the ability item short slab of the user；
211, Xiang Suoshu user's push and the associated course of ability item short slab.
Step 207-211 is identical as step 102-106, specifically can refer to the related description of step 102-106.
The embodiment of the present invention constructs multiple users' portrait models in advance, and each user's portrait model respectively corresponds a kind of duty
Industry development type, by the way that the personal information of user is inputted these users portrait model, according to the defeated of each user portrait model
Result can determine the career development type of the user out；Then ability item rating corresponding with the career development type is chosen again
Model calculates the scoring of each ability item of the user using the Rating Model, and it is minimum to find out scoring according to the height of scoring
Ability item, as the ability item short slab of the user, so as to targetedly push with the associated course of ability item short slab,
Improve the effect of training.Moreover, the present embodiment can also count the career development class of each personnel of working team locating for the user
Type counts the quantity accounting of the personnel in the working team that every kind of career development type has, then according to correspondence respectively
The sequence of the quantity accounting of career development type from high to low is arranged successively each user's portrait model, by the personal letter
Breath sequentially inputs each user's portrait model after arrangement.It is arranged in this way, it being capable of priority match maximum probability matching
By portrait model, so that the classification of user be rapidly completed.
Referring to Fig. 3, a kind of second embodiment of method for pushing course includes: in the embodiment of the present invention
301, the personal information of user is obtained；
302, the personal information is inputted to the multiple users portrait model constructed in advance respectively, and according to each use
The output result of family portrait model determines the career development type of the user；
303, ability item rating model corresponding with the career development type of the user is chosen；
304, in conjunction with the ability item rating model of selection and the personal information, each ability of the user is calculated separately
The scoring of item, the ability item refer to each ability factor item constructed in advance；
305, the ability item for the minimum preset quantity that scores is determined as to the ability item short slab of the user；
306, Xiang Suoshu user's push and the associated course of ability item short slab；
Step 301-306 is identical as step 101-106, specifically can refer to the related description of step 101-106.
307, every the period 1, the personal information of the user is updated, then in conjunction with the ability item rating
Model and updated personal information recalculate the scoring of each ability item of the user；
It, can be every the in order to improve the accuracy of ability item rating since the personal information of user is to constantly update
One period was updated the personal information of the user, then in conjunction with the ability item rating model and updated individual
Information, recalculates the scoring of each ability item of the user, and then redefines the ability item short slab of the user, push
Corresponding course.In practical applications, the period 1 can be set as 1 month or 1 season.
308, every second round, the personal information of the user is updated, then by updated personal information
The multiple user's portrait model is inputted respectively, redefines the career development type of the user, the second round is greater than
The period 1.
Likewise, over time, the career development type of user may also generate variation, therefore can be every second
Period is updated the personal information of the user, and updated personal information is then inputted the multiple user respectively
Portrait model, redefines the career development type of the user.If career development type changes, using the duty after variation
The corresponding ability item rating model of industry development type recalculates the scoring of each ability item of the user, then determines ability again
Item short slab and the corresponding course of push.In practical applications, the second round can be set as half a year or 1 year.
The embodiment of the present invention constructs multiple users' portrait models in advance, and each user's portrait model respectively corresponds a kind of duty
Industry development type, by the way that the personal information of user is inputted these users portrait model, according to the defeated of each user portrait model
Result can determine the career development type of the user out；Then ability item rating corresponding with the career development type is chosen again
Model calculates the scoring of each ability item of the user using the Rating Model, and it is minimum to find out scoring according to the height of scoring
Ability item, as the ability item short slab of the user, so as to targetedly push with the associated course of ability item short slab,
Improve the effect of training.Moreover, the present embodiment can also regularly update the personal information of user, and combine the personal information weight updated
It newly assesses the career development type of the user and scores again each ability item of the user, to further increase
The accuracy of course push.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
A kind of method for pushing course is essentially described above, a kind of device for pushing course will be retouched in detail below
It states.
Referring to Fig. 4, a kind of one embodiment of device for pushing course includes: in the embodiment of the present invention
Personal information obtains module 401, for obtaining the personal information of user；
Career development determination type module 402, for the personal information to be inputted to the multiple users constructed in advance respectively
It draws a portrait model, and the career development type of the user is determined according to the draw a portrait output result of model of each user, each
User's model of drawing a portrait correspond to a kind of career development type, and user's portrait model is by corresponding to multiple samples of career development type
The personal information of user is obtained as training set training；
Ability item rating model chooses module 403, for choosing ability corresponding with the career development type of the user
Item rating model；
Ability item rating module 404, in conjunction with selection ability item rating model and the personal information, calculate separately
The scoring of each ability item of the user, the ability item refer to each ability factor item constructed in advance；
Ability item short slab determining module 405, for the ability item for the minimum preset quantity that scores to be determined as the user
Ability item short slab；
Course pushing module 406, for being pushed and the associated course of ability item short slab to the user.
Further, the career development determination type module may include:
Working team's query unit, for inquiring working team locating for the user；
Personnel's type determining units, for counting each people for having determined that career development type in the working team respectively
Career development type corresponding to member；
Personnel amount statistic unit, for counting the people in the corresponding working team of every kind of career development type respectively
Quantity accounting of member's quantity relative to the total number of persons of the working team；
Model sequencing unit, successively for the sequence of the quantity accounting according to corresponding career development type from high to low
Arrange the corresponding user's portrait model of each career development type；
Personal information input unit, for the personal information to be sequentially input to each user's portrait mould after arranging
Type；
Stop unit is calculated, for each user's portrait model after the personal information to be sequentially input to arrangement
During, if any one user draws a portrait, the matching degree of model output is more than preset threshold, is stopped the personal information
Input next user's portrait model.
Further, the ability item rating module may include:
Target value extraction unit, for extracting partial information relevant to the target capability item from the personal information
Target value；
Target value comparing unit, for by the target value and the corresponding each scoring a reference value of the target capability item into
Row compares, and determines the scoring of the target capability item according to the result of the comparison.
Further, the ability item rating module may include:
Model selection unit, for choosing target Rating Model corresponding with the target capability item, the target scoring
Model is that the personal information of multiple sample of users by being worth on the basis of the scoring of the target capability item is trained as training set
The neural network model arrived；
Score unit, for the personal information of the user to be inputted the target Rating Model, and according to the target
The output result of Rating Model determines the scoring of the target capability item.
Further, the device of the push course can also include:
First update module, for being updated to the personal information of the user, then in conjunction with institute every the period 1
Ability item rating model and updated personal information are stated, the scoring of each ability item of the user is recalculated；
Then second update module will be updated for being updated to the personal information of the user every second round
Personal information afterwards inputs the multiple user's portrait model respectively, redefines the career development type of the user, described
Second round is greater than the period 1.
The embodiment of the present invention also provides a kind of computer readable storage medium, and the computer-readable recording medium storage has
Computer-readable instruction realizes that any one indicated such as Fig. 1 to Fig. 3 pushes away when the computer-readable instruction is executed by processor
The step of sending the method for course.
The embodiment of the present invention also provides a kind of server, including memory, processor and storage are in the memory
And the computer-readable instruction that can be run on the processor, the processor are realized when executing the computer-readable instruction
The step of pushing the method for course such as any one indicated of Fig. 1 to Fig. 3.
Fig. 5 is the schematic diagram for the server that one embodiment of the invention provides.As shown in figure 5, the server 5 of the embodiment wraps
It includes: processor 50, memory 51 and being stored in the computer that can be run in the memory 51 and on the processor 50
Readable instruction 52.The processor 50 realizes that the method for above-mentioned each push course is real when executing the computer-readable instruction 52
Apply the step in example, such as step 101 shown in FIG. 1 is to 106.Alternatively, the processor 50 executes the computer-readable finger
The function of each module/unit in above-mentioned each Installation practice, such as the function of module 401 to 406 shown in Fig. 4 are realized when enabling 52.
Illustratively, the computer-readable instruction 52 can be divided into one or more module/units, one
Or multiple module/units are stored in the memory 51, and are executed by the processor 50, to complete the present invention.Institute
Stating one or more module/units can be the series of computation machine readable instruction section that can complete specific function, the instruction segment
For describing implementation procedure of the computer-readable instruction 52 in the server 5.
The server 5 can be smart phone, notebook, palm PC and cloud server etc. and calculate equipment.It is described
Server 5 may include, but be not limited only to, processor 50, memory 51.It will be understood by those skilled in the art that Fig. 5 is only to take
The example of business device 5, does not constitute the restriction to server 5, may include components more more or fewer than diagram, or combine certain
A little components or different components, such as the server 5 can also include input-output equipment, network access equipment, bus
Deng.
The processor 50 can be central processing unit (CentraL Processing Unit, CPU), can also be
Other general processors, digital signal processor (DigitaL SignaL Processor, DSP), specific integrated circuit
(AppLication Specific Integrated Circuit, ASIC), ready-made programmable gate array (FieLd-
ProgrammabLe Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 51 can be the internal storage unit of the server 5, such as the hard disk or memory of server 5.
The memory 51 is also possible to the External memory equipment of the server 4, such as the plug-in type being equipped on the server 5 is hard
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure DigitaL, SD) card, flash card
(FLash Card) etc..Further, the memory 51 can also both include the internal storage unit of the server 5 or wrap
Include External memory equipment.The memory 51 is for storing needed for the computer-readable instruction and the server other
Program and data.The memory 51 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-OnLy
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of method for pushing course characterized by comprising
Obtain the personal information of user；
The personal information is inputted to the multiple users portrait model constructed in advance respectively, and according to each user's portrait mould
The output result of type determines the career development type of the user, and each user's portrait model corresponds to a kind of career development type,
User's portrait model is obtained by the personal information for corresponding to multiple sample of users of career development type as training set training；
Choose ability item rating model corresponding with the career development type of the user；
Ability item rating model and the personal information in conjunction with selection, calculate separately commenting for each ability item of the user
Point, the ability item refers to each ability factor item constructed in advance；
The ability item for the minimum preset quantity that scores is determined as to the ability item short slab of the user；
To user push and the associated course of ability item short slab.
2. the method for push course according to claim 1, which is characterized in that described to input the personal information respectively
Multiple users for constructing in advance model of drawing a portrait includes:
Inquire working team locating for the user；
Career development type corresponding to each personnel for having determined that career development type in the working team is counted respectively；
The personnel amount in the corresponding working team of every kind of career development type is counted respectively relative to the working team
Total number of persons quantity accounting；
Each career development type is arranged successively according to the sequence of the quantity accounting of career development type from high to low is corresponded to
Corresponding user's portrait model；
Each user's portrait model after the personal information to be sequentially input to arrangement；
During the personal information to be sequentially input to each user's portrait model after arrangement, if any one is used
The matching degree of family portrait model output is more than preset threshold, then stops inputting the personal information into next user's portrait mould
Type.
3. the method for push course according to claim 1, which is characterized in that if choosing less than the occupation with the user
The corresponding ability item rating model of development type, then any one target capability item in each ability item of the user is commented
Divide and pass through following steps calculating:
The target value of partial information relevant to the target capability item is extracted from the personal information；
The corresponding each scoring a reference value of the target value and the target capability item is compared, according to the result of the comparison really
The scoring of the fixed target capability item.
4. the method for push course according to claim 1, which is characterized in that appointing in each ability item of the user
Anticipate a target capability item scoring pass through following steps calculate:
Target Rating Model corresponding with the target capability item is chosen, the target Rating Model is by the target capability item
Scoring on the basis of the neural network model that is obtained as training set training of the personal information of multiple sample of users that is worth；
The personal information of the user is inputted into the target Rating Model, and according to the output result of the target Rating Model
Determine the scoring of the target capability item.
5. the method for push course according to any one of claim 1 to 4, which is characterized in that further include:
Every the period 1, the personal information of the user is updated, then in conjunction with the ability item rating model and more
Personal information after new, recalculates the scoring of each ability item of the user；
Every second round, the personal information of the user is updated, then inputs updated personal information respectively
The multiple user's portrait model, redefines the career development type of the user, and the second round is greater than described first
Period.
6. a kind of device for pushing course characterized by comprising
Personal information obtains module, for obtaining the personal information of user；
Career development determination type module, for the personal information to be inputted to the multiple users constructed in advance portrait mould respectively
Type, and the career development type of the user, each user's picture are determined according to the draw a portrait output result of model of each user
As model correspond to a kind of career development type, user's portrait model is by corresponding to multiple sample of users of career development type
Personal information is obtained as training set training；
Ability item rating model chooses module, for choosing ability item rating mould corresponding with the career development type of the user
Type；
Ability item rating module, in conjunction with selection ability item rating model and the personal information, calculate separately the use
The scoring of each ability item at family, the ability item refer to each ability factor item constructed in advance；
Ability item short slab determining module, for the ability item for the minimum preset quantity that scores to be determined as to the ability item of the user
Short slab；
Course pushing module, for being pushed and the associated course of ability item short slab to the user.
7. a kind of computer readable storage medium, the computer-readable recording medium storage has computer-readable instruction, special
Sign is, the push class as described in any one of claims 1 to 5 is realized when the computer-readable instruction is executed by processor
The step of method of journey.
8. a kind of server, including memory, processor and storage can transport in the memory and on the processor
Capable computer-readable instruction, which is characterized in that the processor realizes following steps when executing the computer-readable instruction:
Obtain the personal information of user；
The personal information is inputted to the multiple users portrait model constructed in advance respectively, and according to each user's portrait mould
The output result of type determines the career development type of the user, and each user's portrait model corresponds to a kind of career development type,
User's portrait model is obtained by the personal information for corresponding to multiple sample of users of career development type as training set training；
Choose ability item rating model corresponding with the career development type of the user；
Ability item rating model and the personal information in conjunction with selection, calculate separately commenting for each ability item of the user
Point, the ability item refers to each ability factor item constructed in advance；
The ability item for the minimum preset quantity that scores is determined as to the ability item short slab of the user；
To user push and the associated course of ability item short slab.
9. server according to claim 8, which is characterized in that described that the personal information is inputted to building in advance respectively
Multiple users draw a portrait model include:
Inquire working team locating for the user；
Career development type corresponding to each personnel for having determined that career development type in the working team is counted respectively；
The personnel amount in the corresponding working team of every kind of career development type is counted respectively relative to the working team
Total number of persons quantity accounting；
Each career development type is arranged successively according to the sequence of the quantity accounting of career development type from high to low is corresponded to
Corresponding user's portrait model；
Each user's portrait model after the personal information to be sequentially input to arrangement；
During the personal information to be sequentially input to each user's portrait model after arrangement, if any one is used
The matching degree of family portrait model output is more than preset threshold, then stops inputting the personal information into next user's portrait mould
Type.
10. server according to claim 8 or claim 9, which is characterized in that the processor executes the computer-readable finger
Following steps are also realized when enabling:
Every the period 1, the personal information of the user is updated, then in conjunction with the ability item rating model and more
Personal information after new, recalculates the scoring of each ability item of the user；
Every second round, the personal information of the user is updated, then inputs updated personal information respectively
The multiple user's portrait model, redefines the career development type of the user, and the second round is greater than described first
Period.
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| CN201910663299.1A CN110472834B (en) | 2019-07-22 | 2019-07-22 | Course pushing method, course pushing device, storage medium and server |
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| CN201910663299.1A CN110472834B (en) | 2019-07-22 | 2019-07-22 | Course pushing method, course pushing device, storage medium and server |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113888375A (en) * | 2021-09-28 | 2022-01-04 | 深圳开源互联网安全技术有限公司 | Method, device and system for determining safety capability of research personnel |
| CN111341157B (en) * | 2020-02-10 | 2022-04-01 | 武汉知童教育科技有限公司 | Training method for auditory cognitive ability |
| WO2023221343A1 (en) * | 2022-05-17 | 2023-11-23 | 国网浙江省电力有限公司舟山供电公司 | Safety hazard information code generation method based on violation portraits and safety portraits of electric power members |
| CN117454017A (en) * | 2023-12-21 | 2024-01-26 | 广州平云小匠科技股份有限公司 | Course recommendation method, device and storage medium |
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| CN101436277A (en) * | 2008-12-04 | 2009-05-20 | 北京安博在线软件有限公司 | System for providing test comment, training, job hunting and recruitment |
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| CN101436277A (en) * | 2008-12-04 | 2009-05-20 | 北京安博在线软件有限公司 | System for providing test comment, training, job hunting and recruitment |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111341157B (en) * | 2020-02-10 | 2022-04-01 | 武汉知童教育科技有限公司 | Training method for auditory cognitive ability |
| CN113888375A (en) * | 2021-09-28 | 2022-01-04 | 深圳开源互联网安全技术有限公司 | Method, device and system for determining safety capability of research personnel |
| WO2023221343A1 (en) * | 2022-05-17 | 2023-11-23 | 国网浙江省电力有限公司舟山供电公司 | Safety hazard information code generation method based on violation portraits and safety portraits of electric power members |
| CN117454017A (en) * | 2023-12-21 | 2024-01-26 | 广州平云小匠科技股份有限公司 | Course recommendation method, device and storage medium |
| CN117454017B (en) * | 2023-12-21 | 2024-04-02 | 广州平云小匠科技股份有限公司 | Course recommendation method, device and storage medium |
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| CN110472834B (en) | 2024-01-30 |
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