CN114548940A - Internet-based human resource teacher management information platform - Google Patents
Internet-based human resource teacher management information platform Download PDFInfo
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Abstract
The invention discloses an internet-based human resource teacher management informatization platform, which comprises a personnel information storage module, a post requirement acquisition module, a human model establishment module, a recruitment transceiving module and a personnel resume processing module, wherein the personnel information storage module establishes a model of an existing post in a school and a necessary skill thereof, and reasonably matches a person to be recruited according to the obtained model, so that a proper post is allocated to the person to be recruited, and the person to be recruited can also be recruited to a proper person when a teacher in a personnel department does not know the professional post; the invention also sets up the post by a machine learning mode, and the system automatically obtains the post requirement of the set post by inputting the proper personnel condition and stores the requirement in the post model of the human resource; the model of the invention is also continuously corrected, and the requirements of all posts are matched and promoted according to the service capability and level of the personnel in the school.
Description
Technical Field
The invention relates to the field of human resource service platforms, in particular to an internet-based human resource teacher management informatization platform.
Background
In the information-based construction of the campus, the campus one-code construction taking student life as a basic, the scientific research capability construction taking school scientific research as a basic, the student score profiling analysis construction taking a teaching level as a basic, the teacher teaching level construction taking teacher resource amount as a basic, and the like are provided. In the teaching level construction of teachers, on one hand, comprehensive teaching capacity of teachers can be stimulated through policies, on the other hand, the teachers can be recruited from the society in a recruitment mode, so that the persons with capacity can enter a teacher team, the comprehensive capacity of the teachers in schools is improved, and for the recruitment of the teachers, human resources are required to be applied to a management platform.
In the platform of human resource management, information such as basic identity information, post information, salary information and the like of teachers is generally input, deleted and stored, so that the job condition of each teacher in a school can be dynamically obtained. However, in the recruitment process, after the capability of the person to be recruited is matched with the requirement of the school by the teacher of the personnel department, the teacher of the personnel department matches the post of the person to be recruited and then enters the post, and when the person to be recruited is recruited, the teacher of the personnel department often does not know the service of other departments enough, so that the person to be recruited is not accurately positioned when the person to be recruited is recruited, and the range which can be processed by the teacher self is deviated from the range which can be processed actually after the person to be recruited enters the work, so that the working enthusiasm of the person to be recruited in the work is not high, the advantage of the teacher can not be fully exerted in the work, and the development of the school has a certain negative influence.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provide an internet-based human resource teacher management informatization platform, which establishes a human resource framework of a school by establishing and processing a model of the existing post of the school and reasonably matches the actual situation of a person to be recruited, so that the person to be recruited is reasonably distributed when a personnel department recruits the person.
Therefore, the invention provides an internet-based human resource teacher management informatization platform, which comprises:
the system comprises a personnel information storage module, a data processing module and a data processing module, wherein the personnel information storage module is used for storing personnel information of each teacher in a school, the personnel information comprises a name, a position and a capability condition, and the capability condition comprises one or more skills;
the post requirement acquisition module is used for extracting and obtaining corresponding post requirements according to the post responsibility of each post and corresponding the post requirements to the posts one by one;
the human model establishing module is used for counting the ability conditions of all teachers at each same post to obtain the number of people corresponding to each skill, sequencing the skills according to the number of people corresponding to each skill to obtain the ability requirement of the post, and corresponding the ability requirement of each post to the posts one by one to obtain a human model;
the recruitment receiving and sending module is used for sending the post requirements corresponding to the post to be recruited to the Internet and receiving the resume of the person to be recruited on the Internet;
and the person resume processing module extracts the character information of the received resume of the person to be called to obtain the capability condition of the person to be called, matches the capability condition of the person to be called with the capability requirement of the post and obtains the recording conclusion according to the matching result.
Further, when the staff resume processing module matches the capability condition of the staff to be called with the capability requirement of the post, the staff resume processing module comprises the following steps:
step 1: sequentially resolving the ability condition of the person to be recruited into each skill, and obtaining the corresponding weight of each skill;
step 2: setting the weight of each skill of the ability requirement according to the arrangement sequence;
and step 3: comparing the ability condition of the person to be called with the skill consistent with the ability requirement in weight, and storing the skill and the weight corresponding to the skill in the ability requirement in a cache when the comparison result is in a set range;
and 4, step 4: traversing all skills in the ability condition of the person to be recruited in the step 3, and summing weights corresponding to each skill in the cache to obtain an evaluation value;
and 5: when the evaluation value is larger than a set numerical value, the matching result is recorded, otherwise, the matching result is rejected.
Further, the step 2 includes:
step 2-1: acquiring the number of people corresponding to each skill in the ability requirement;
step 2-2: sequentially arranging the number of people corresponding to each skill according to the arrangement sequence of each skill to obtain a weight array;
step 2-3: carrying out normalization processing on the weight array;
step 2-4: and distributing each weight in the weight array after the normalization processing to each corresponding skill.
Further, still include:
the school comparison module is used for acquiring the profits of other schools with the same business as the current school, comparing the profits of the other schools with the profits of the current school to obtain a profit difference, and sequencing the other schools according to the profit difference;
the other school determination module is used for displaying the sequence of the other schools to the user and receiving the comparison schools input by the user;
the human model comparison module is used for acquiring the human model of the comparison school, comparing the human model of the comparison school with the human model of the current school to obtain the model difference between the human model of the comparison school and the human model of the current school, and correspondingly storing the model difference and the profit difference;
and the machine learning module is used for sending the model difference and the income difference corresponding to the comparison school into a learning model, outputting to obtain a post requirement, and sending the post requirement obtained by outputting to the recruitment transceiving module.
Further, the learning model in the machine learning module is trained before being used, and when training, the method comprises the following steps:
step (1): correspondingly storing each other school in the school comparison module and the corresponding profit difference respectively;
step (2): storing the income difference larger than the set income and other schools corresponding to the income difference in the same data storage base, and establishing the learning model in the data storage base;
and (3): training the learning model to obtain the post demand by using the model difference and the profit difference between the other schools and the current school stored in the data repository as input;
and (4): correcting the post requirements to complete the training of the learning model,
further, the staff resume processing module, when extracting the received resume of the person to be called with the text information to obtain the ability condition of the person to be called, comprises the following steps:
the method comprises the following steps: extracting characters in the resume, and segmenting the extracted characters according to the subject area;
step two: screening the characters of which the subject areas are the capacity parts, and extracting the skill keywords of the characters of the capacity parts;
step three: arranging according to the sequence of the extracted skill keywords to obtain the arrangement of the skills;
step four: each skill is weighted according to a weighting algorithm.
Still further, the method comprises the following steps:
step five: extracting all characters of other subject areas, and extracting skill keywords of the character part;
step six: obtaining a weight added value corresponding to the skill according to the number of the skill keywords corresponding to other subject areas;
step seven: and adding the weight added value corresponding to each skill to the corresponding weight, and carrying out normalization processing on all obtained weights.
Further, the weighting algorithm comprises the steps of:
step A: establishing a weight-giving array according to the number of the skills, so that the number of weights in the weight-giving array is consistent with the number of the skills;
and B: setting the weight value of the weight-giving array as 1, wherein the adjacent weight values have a 2-time relationship, and the front weight value is larger than the rear weight value to obtain the weight-giving array;
and C: b, normalizing the weighted array in the step B;
step D: and distributing each weight in the normalized weighted array to the skill corresponding to the arrangement position.
The internet-based human resource teacher management informatization platform provided by the invention has the following beneficial effects:
the method establishes a model of the existing post of the school and the necessary skill thereof, and reasonably matches the person to be recruited according to the obtained model, so that the proper post is allocated to the person to be recruited, and the proper person can be recruited when a teacher in a personnel department does not know the professional post;
the invention can also set up the post by the way of machine learning, through recording the appropriate personnel's situation, the system gets the post requirement of setting up the post automatically, and store in the post model of the human resources;
the model of the invention is also continuously corrected, the requirements of each post in the model are continuously corrected according to the service capability and level of the personnel in the school, and the requirements of each post are matched and promoted during correction.
Drawings
FIG. 1 is a schematic block diagram of the overall system connection of the present invention;
FIG. 2 is a schematic block diagram of a process for performing capability matching in accordance with the present invention;
FIG. 3 is a schematic block diagram showing a detailed flow of step 2 in the present invention;
FIG. 4 is a schematic block diagram of the system connections for platform expansion of the present invention;
FIG. 5 is a block diagram illustrating the flow of the weighting algorithm of the present invention.
Detailed Description
An embodiment of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the embodiment.
Specifically, as shown in fig. 1 to 5, an embodiment of the present invention provides an internet-based human resource teacher management information platform, including: the system comprises a personnel information storage module, a post requirement acquisition module, a human model establishing module, a recruitment transceiving module and a personnel resume processing module. The following is a detailed functional description of the various modules.
The system comprises a personnel information storage module, a data processing module and a data processing module, wherein the personnel information storage module is used for storing personnel information of each teacher in a school, the personnel information comprises a name, a position and a capability condition, and the capability condition comprises one or more skills; the personnel information is stored in a text form, wherein the ability condition of the person is worth skills, and the person information is also stored in a text form, for example, the personal information is' name: zhang III, post: human resource specialist, competence condition: office automation, compensation management, performance management, personnel training, culture introduction and the like. The method and the device have the advantages that the characters are processed in a character mode, so that the expression of the characters can be closely combined, and the actual situation of people can be obtained.
The post requirement acquisition module is used for extracting and obtaining corresponding post requirements according to the post responsibility of each post and corresponding the post requirements to the posts one by one; the invention extends into the enterprise, the post responsibility of each post in the enterprise is in one-to-one correspondence with the requirement of the post, and then the post requirement is in one-to-one correspondence with the post by using an equal ratio correspondence mode, for example, the post requirement corresponding to the post responsibility of a human resource specialist is as follows: office automation, salary management, performance management, personnel training, culture guidance, daily management, attendance statistics and the like.
The human model establishing module is used for counting the ability conditions of all teachers at each same post to obtain the number of people corresponding to each skill, sequencing the skills according to the number of people corresponding to each skill to obtain the ability requirement of the post, and corresponding the ability requirement of each post to the posts one by one to obtain a human model; the ability requirements of the post are evaluated according to the actual conditions of the enterprise, the ability conditions of all teachers in the same post are counted to obtain the number of people corresponding to each skill and the people are sequenced, for example, the post of a human resource specialist has 5 people, each person has different skills, the skills of some people are the same, the people are the necessary skills required by the post, namely the skills in front of the sequence, the ability requirements of the post are obtained, the ability requirements of each post are in one-to-one correspondence with the post, and the human model of the enterprise can be obtained by traversing each post in the enterprise.
The recruitment receiving and sending module is used for sending the post requirements corresponding to the post to be recruited to the Internet and receiving the resume of the person to be recruited on the Internet; according to the method, the capability requirements of the personnel required by the enterprise can be obtained through the method, the capability requirements correspond to the post requirements one by one, so that the post requirements corresponding to the post can be directly called and sent to the Internet when recruiting, and therefore network recruitment is realized, and the resume of the to-be-recruited personnel who wants to improve the delivery of the enterprise can be received.
And the person resume processing module extracts the character information of the received resume of the person to be called to obtain the capability condition of the person to be called, matches the capability condition of the person to be called with the capability requirement of the post and obtains the recording conclusion according to the matching result. According to the method, the resume records of the person to be recruited are taken as a reference, the capability condition of the person to be recruited is extracted, the capability condition of the person to be recruited is compared with the capability condition of the post corresponding to the post in the human model, the matching process is carried out, the recording conclusion is obtained according to the matching result, namely whether the person to be recruited is recorded or not, in the method, the matching process can be carried out in a comparison mode, the overlapping percentage is obtained, when the percentage is more than 80%, the conclusion that the person can be recorded is obtained, and otherwise, the conclusion that the person can be caught is obtained.
Through the coordination work of the modules, the invention constructs a human model according to the actual conditions of the existing personnel in the enterprise, simultaneously issues recruitment notices on the Internet according to the needs of the enterprise, then ends the resume of the person to be recruited, extracts the needed information based on the resume of the person to be recruited, and judges whether the person performs recording, so that the person to be recruited is allocated with a proper post, and the person can be recruited to the proper post when a teacher in a personnel department does not know the professional post.
The platform provided by the invention is used for the recruitment of teachers in personnel departments in enterprises when the capability of the judgers is matched with the requirements of the enterprises.
In the embodiment of the present invention, when the staff resume processing module matches the capability condition of the staff to be recruited with the capability requirement of the post, that is, when the staff is recorded or not based on the resume of the staff to be recruited, the present invention provides a matching method, which specifically includes the following steps:
step 1: sequentially resolving the ability condition of the person to be recruited into each skill, and obtaining the corresponding weight of each skill; in practice, in order to make extraction more accurate, a special resume template can be used, the special resume template is filled by the person to be waited, and during extraction, positions of extraction features are directly scanned to obtain the weight.
Step 2: setting the weight of each skill of the ability requirement according to the arrangement sequence; when setting the weight, the step sorts the weight according to the ranking order from big to small, and normalizes the ranked sequence to obtain the weight of each skill, and the mode in the step 1 is consistent with the method.
And step 3: comparing the ability condition of the person to be called with the skill consistent with the ability requirement in weight, and storing the skill and the weight corresponding to the skill in the ability requirement in a cache when the comparison result is in a set range; the step is to screen out skills which meet the requirements of the personnel, the corresponding weight in the capacity requirements stored in the cache is the weight obtained by the person to be recruited in the step 1 based on the resume, and the skills stored in the cache are the skills which meet the requirements of the enterprise on the personnel.
And 4, step 4: traversing all skills in the ability condition of the person to be recruited in the step 3, and summing weights corresponding to each skill in the cache to obtain an evaluation value; the step sums the skills of the person to be recruited, which meet the requirements of the enterprise for the personnel, to obtain the comprehensive strength condition with the person to be recruited, namely the evaluation value.
And 5: when the evaluation value is larger than a set numerical value, the matching result is recorded, otherwise, the matching result is rejected. The step is to obtain the corresponding recording situation according to the obtained evaluation value.
In the steps 1 to 5, the processes are sequentially carried out according to the sequence, and in the matching process, the capability of the person to be called and the capability requirement required by the enterprise are subjected to weight matching, so that the person who has certain necessary skills but has other additional skills under the maximum condition is selected, recording is completed, and the excellent and proper talent is selected to be competent for the work content of the post.
Preferably, the step 2 includes the steps of:
step 2-1: acquiring the number of people corresponding to each skill in the ability requirement;
step 2-2: sequentially arranging the number of people corresponding to each skill according to the arrangement sequence of each skill to obtain a weight array;
step 2-3: carrying out normalization processing on the weight array;
step 2-4: and distributing each weight in the weight array after the normalization processing to each corresponding skill.
In the steps 2-1 to 2-4, the steps are sequentially performed in sequence, when the weight is set, the sequences are sorted from large to small according to the arrangement sequence, and the arranged sequences are normalized to obtain the weight of each skill.
Meanwhile, in the invention, the weight of each skill in the capability requirement of the post can also be set by a teacher in a personnel department. There may be a teacher of the personnel department who makes corrections based on the above-described set results.
In an embodiment of the present invention, the system provided by the present invention further includes: the system comprises a school comparison module, other school determination modules, a human model comparison module and a machine learning module. The following is an explanation of the detailed operation functions of the respective modules.
The school comparison module is used for acquiring the profits of other schools with the same business as the current school, comparing the profits of the other schools with the profits of the current school to obtain a profit difference, and sequencing the other schools according to the profit difference; according to the invention, other schools are compared with the current school, and during comparison, comparison is carried out from the income angle, namely the income difference is described in the invention, and after comparison, the other schools are ranked according to the income difference, wherein the other schools in the invention refer to any school with the same business except the current school.
The other school determination module is used for displaying the sequence of the other schools to the user and receiving a comparison school input by the user; according to the invention, other schools are sorted according to the income difference, so that teachers of personnel departments of the schools can clearly obtain the strength condition of the schools where the teachers are located and the differences between the schools and other schools, the situation is visually embodied in a sorting mode, and meanwhile, the entered comparison school is received, and the comparison school is one of the other schools.
The human model comparison module is used for acquiring the human model of the comparison school, comparing the human model of the comparison school with the human model of the current school to obtain the model difference between the human model of the comparison school and the human model of the current school, and correspondingly storing the model difference and the profit difference; according to the invention, the model difference between the current school and the comparison school, namely the difference between the manpower conditions of the current school and the comparison school and the corresponding profit difference are used as a group of data to be stored in the database as the basis for inputting the subsequent learning model.
And the machine learning module is used for sending the model difference and the income difference corresponding to the comparison school into a learning model, outputting to obtain a post requirement, and sending the post requirement obtained by outputting to the recruitment transceiving module. The learning model is an unsupervised learning model, the model is fused in the database, the model is input according to the corresponding human model difference and the income difference, the post requirement can be obtained through output, and finally the post requirement is sent to the recruitment transceiving module.
According to the invention, through the interaction among the steps, the benchmarking is carried out on the current school (the enterprise) and other schools, the learning training is carried out according to the difference between the school profits and the difference between the human model (namely, the human configuration), so that the post requirement is output and obtained, and the recruitment of personnel is carried out according to the post requirement. According to the invention, through comparison management with other schools, the human resource framework of the current school is adjusted, and appropriate personnel are recruited, so that the income of the current school is enhanced, the post is set, and through recording appropriate personnel conditions, the system automatically obtains the post requirement of the set post and stores the post requirement in the post model of human resources.
The learning model in the machine learning module in the invention is trained before being used, and comprises the following steps during training:
step (1): correspondingly storing each other school in the school comparison module and the corresponding profit difference respectively;
step (2): storing the income difference larger than the set income and other schools corresponding to the income difference in the same data storage base, and establishing the learning model in the data storage base;
and (3): training the learning model to obtain the post demand by using the model difference and the profit difference between the other schools and the current school stored in the data repository as input;
and (4): and correcting the post requirements to finish the training of the learning model.
The steps (1) to (4) are sequentially performed, wherein the step (1) is a recorded storage function and finishes data volume storage, the step (2) is a learning model built in a database, the learning model is an unsupervised learning model, the step (3) is a process of training the learning model, the learning model is preliminarily trained to obtain a specific form of the learning model, the step (4) is a process of correcting the learning model, and the correction process and the correction step are corrected according to parameter adjustment of a teacher in a personnel department, so that the form of the learning model is more clear.
Therefore, the model of the invention continuously corrects the requirements of each post in the model according to the service capability and level of the personnel in the school, and simultaneously matches and promotes the requirements of each post during correction.
In the embodiment of the present invention, when the resume processing module extracts the received resume of the person to be attended from the text information to obtain the capability condition of the person to be attended, the method includes the following steps:
the method comprises the following steps: extracting characters in the resume, and segmenting the extracted characters according to the subject area;
step two: screening the characters of which the subject areas are the capacity parts, and extracting the skill keywords of the characters of the capacity parts;
step three: arranging according to the sequence of the extracted skill keywords to obtain the arrangement of the skills;
step four: each skill is weighted according to a weighting algorithm.
The first to fourth steps obtain the abilities recorded in the resume of the person to be recruited, namely the skills acquired by the person to be recruited. For more optimized processing, after the first step to the fourth step, the method further comprises the following steps:
step five: extracting all characters of other subject areas, and extracting skill keywords of the character part;
step six: obtaining a weight added value corresponding to the skill according to the number of the skill keywords corresponding to other subject areas;
step seven: and adding the weight added value corresponding to each skill to the corresponding weight, and carrying out normalization processing on all obtained weights.
And step five to step seven, the platform of the invention can extract the skills of the person to be called by the optimal way, namely the resume of the person to be called is not ideal, and the skill can be evaluated according to the obtained comprehensive skills as long as the resume is perfected.
Meanwhile, the weighting algorithm comprises the following steps:
step A: establishing a weight-giving array according to the number of the skills, so that the number of weights in the weight-giving array is consistent with the number of the skills;
and B: setting the weight value of the weight-giving array as 1, wherein the adjacent weight values have a 2-time relationship, and the front weight value is larger than the rear weight value to obtain the weight-giving array;
and C: b, normalizing the weighted array in the step B;
step D: and distributing each weight in the normalized weighted array to the skill corresponding to the arrangement position.
The steps A to D are sequentially carried out according to the sequence, and how to obtain the weight proportion of the weight according to the arrangement sequence is introduced.
The above disclosure is only for a few specific embodiments of the present invention, however, the present invention is not limited to the above embodiments, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.
Claims (8)
1. Human resource teacher management information platform based on internet, its characterized in that includes:
the system comprises a personnel information storage module, a data processing module and a data processing module, wherein the personnel information storage module is used for storing personnel information of each teacher in a school, the personnel information comprises a name, a position and a capability condition, and the capability condition comprises one or more skills;
the post requirement acquisition module is used for extracting and obtaining corresponding post requirements according to the post responsibility of each post and corresponding the post requirements to the posts one by one;
the human model establishing module is used for counting the ability conditions of all teachers at each same post to obtain the number of people corresponding to each skill, sequencing the skills according to the number of people corresponding to each skill to obtain the ability requirement of the post, and corresponding the ability requirement of each post to the posts one by one to obtain a human model;
the recruitment receiving and sending module is used for sending the post requirements corresponding to the post to be recruited to the Internet and receiving the resume of the person to be recruited on the Internet;
and the person resume processing module extracts the character information of the received resume of the person to be called to obtain the capability condition of the person to be called, matches the capability condition of the person to be called with the capability requirement of the post and obtains the recording conclusion according to the matching result.
2. The internet-based human resource teacher management information platform as claimed in claim 1, wherein said staff resume processing module when matching said staff waiting to be called with said post's ability requirement, comprises the following steps:
step 1: sequentially resolving the ability condition of the person to be recruited into each skill, and obtaining the corresponding weight of each skill;
step 2: setting the weight of each skill of the ability requirement according to the arrangement sequence;
and step 3: comparing the ability condition of the person to be called with the skill consistent with the ability requirement in weight, and storing the skill and the weight corresponding to the skill in the ability requirement in a cache when the comparison result is in a set range;
and 4, step 4: traversing all skills in the ability condition of the person to be recruited in the step 3, and summing weights corresponding to each skill in the cache to obtain an evaluation value;
and 5: when the evaluation value is larger than a set numerical value, the matching result is recorded, otherwise, the matching result is rejected.
3. The internet-based human resources teacher management information platform as claimed in claim 2, wherein said step 2 includes:
step 2-1: acquiring the number of people corresponding to each skill in the ability requirement;
step 2-2: sequentially arranging the number of people corresponding to each skill according to the arrangement sequence of each skill to obtain a weight array;
step 2-3: carrying out normalization processing on the weight array;
step 2-4: and distributing each weight in the weight array after the normalization processing to each corresponding skill.
4. The internet-based human resources teacher management information platform as claimed in claim 1, further comprising:
the school comparison module is used for acquiring the profits of other schools with the same business as the current school, comparing the profits of the other schools with the profits of the current school to obtain a profit difference, and sequencing the other schools according to the profit difference;
the other school determination module is used for displaying the sequence of the other schools to the user and receiving the comparison schools input by the user;
the human model comparison module is used for acquiring the human model of the comparison school, comparing the human model of the comparison school with the human model of the current school to obtain the model difference between the human model of the comparison school and the human model of the current school, and correspondingly storing the model difference and the profit difference;
and the machine learning module is used for sending the model difference and the income difference corresponding to the comparison school into a learning model, outputting to obtain a post requirement, and sending the post requirement obtained by outputting to the recruitment transceiving module.
5. The internet-based human resources teacher management information platform as claimed in claim 4, wherein said learning models in said machine learning module are trained before use, and when training, comprising the following steps:
step (1): correspondingly storing each other school in the school comparison module and the corresponding profit difference respectively;
step (2): storing the income difference larger than the set income and other schools corresponding to the income difference in the same data storage base, and establishing the learning model in the data storage base;
and (3): training the learning model to obtain the post demand by using the model difference and the profit difference between the other schools and the current school stored in the data repository as input;
and (4): and correcting the post requirements to finish the training of the learning model.
6. The internet-based human resource teacher management information platform as claimed in claim 1, wherein said resume processing module, when extracting the received resume of the person to be recruited with text information to obtain the ability condition of the person to be recruited, comprises the following steps:
the method comprises the following steps: extracting characters in the resume, and segmenting the extracted characters according to the subject area;
step two: screening the characters of which the subject areas are the capacity parts, and extracting the skill keywords of the characters of the capacity parts;
step three: arranging according to the sequence of the extracted skill keywords to obtain the arrangement of the skills;
step four: each skill is weighted according to a weighting algorithm.
7. The internet-based human resources teacher management information platform as claimed in claim 6, further comprising the steps of:
step five: extracting all characters of other subject areas, and extracting skill keywords of the character part;
step six: obtaining a weight added value corresponding to the skill according to the number of the skill keywords corresponding to other subject areas;
step seven: and adding the weight added value corresponding to each skill to the corresponding weight, and carrying out normalization processing on all obtained weights.
8. The internet-based human resources teacher management information platform as claimed in claim 6, wherein said weighting algorithm comprises the steps of:
step A: establishing a weight-giving array according to the number of the skills, so that the number of weights in the weight-giving array is consistent with the number of the skills;
and B: setting the weight value of the weight-giving array as 1, wherein the adjacent weight values have a 2-time relationship, and the front weight value is larger than the rear weight value to obtain the weight-giving array;
and C: b, normalizing the weighted array in the step B;
step D: and distributing each weight in the normalized weighted array to the skill corresponding to the arrangement position.
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