CN112434217A - Position information recommendation method, system, computer equipment and storage medium - Google Patents
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Abstract
The scheme relates to a position information recommendation method. The method comprises the following steps: performing data processing on job hunting information uploaded by job hunters to obtain key information; acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information; searching each post corresponding to the key information, and respectively calculating the post matching degree of each post; and recommending the position information according to the position matching degree and the missing skill information. The missing skill information of the job seeker is predicted, the post matching degree is calculated, accordingly, job recommendation is conducted according to the post matching degree and the skill missing information, and accuracy of job recommendation can be improved.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a position information recommendation method, a position information recommendation system, computer equipment and a storage medium.
Background
With the development of internet technology, the living standard of people is continuously improved, more and more job seekers and recruiters begin to use internet recruitment, and the internet recruitment and the online job hunting can realize talent exchange in the current society to a great extent. For the college students just after the graduation and the job seekers with short working time, the useful work post information is difficult to be quickly acquired from the mass information on the recruitment website; for job seekers with less expertise, it is difficult to determine the expertise they lack and that skill is needed for the job. The majority of the recruitment websites in the market are mainly based on post query, namely, a work post information list is obtained by screening key words of industry, work places, work posts and the like layer by layer.
The traditional mode of active post retrieval can only obtain the basic information of the working post, and can not be displayed by deeply analyzing the requirement of the working post. For example, enterprises of different sizes and properties have different requirements on accountants and different skills to master, and in such a case, the requirement of job seekers cannot be accurately matched only by listing the enterprises recruiting the accountants.
Disclosure of Invention
Based on this, in order to solve the above technical problem, a job information recommendation method, system, computer device and storage medium are provided, which can improve accuracy of job recommendation.
A method of job information recommendation, the method comprising:
performing data processing on job hunting information uploaded by job hunters to obtain key information;
acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
searching each post corresponding to the key information, and respectively calculating the post matching degree of each post;
and recommending position information according to the position matching degree and the missing skill information.
In one embodiment, the data processing of the job hunting information uploaded by the job hunter to obtain the key information includes:
extracting target statement information in the job hunting information, and searching key fields in the target statement information;
and splitting and recombining the key field to generate the key information.
In one embodiment, the method further comprises:
acquiring each piece of reference skill information and a reference skill level corresponding to each piece of reference skill information from a database;
and calculating the user similarity matrix according to the reference skill information and the reference skill level.
In one embodiment, the predicting the missing skill information of the job seeker according to the user similarity matrix and the key information includes:
extracting skill information and skill level in the key information;
and predicting the missing skill information of the job seeker according to the user similarity matrix, the skill information and the skill level.
In one embodiment, before recommending position information according to the position matching degree and the missing skill information, the method further comprises:
sequencing the posts according to the post matching degree to obtain a sequencing result;
according to the sorting result, determining a target position and a non-target position from all the positions;
and calculating the similarity between the target position and the non-target position.
In one embodiment, the position information comprises position information and skill information.
A job information recommendation system, the system comprising:
the data processing module is used for carrying out data processing on job hunting information uploaded by job hunters to obtain key information;
the information prediction module is used for acquiring a user similarity matrix and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
the matching degree calculation module is used for searching each post corresponding to the key information and calculating the post matching degree of each post respectively;
and the information recommendation module is used for recommending the position information according to the position matching degree and the missing skill information.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
performing data processing on job hunting information uploaded by job hunters to obtain key information;
acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
searching each post corresponding to the key information, and respectively calculating the post matching degree of each post;
and recommending position information according to the position matching degree and the missing skill information.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
performing data processing on job hunting information uploaded by job hunters to obtain key information;
acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
searching each post corresponding to the key information, and respectively calculating the post matching degree of each post;
and recommending position information according to the position matching degree and the missing skill information.
According to the job information recommendation method, the system, the computer equipment and the storage medium, the key information is obtained by performing data processing on job hunting information uploaded by job hunters; acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information; searching each post corresponding to the key information, and respectively calculating the post matching degree of each post; and recommending the position information according to the position matching degree and the missing skill information. The missing skill information of the job seeker is predicted, the post matching degree is calculated, accordingly, job recommendation is conducted according to the post matching degree and the skill missing information, and accuracy of job recommendation can be improved.
Drawings
FIG. 1 is a diagram of an application environment of a job information recommendation method in one embodiment;
FIG. 2 is a schematic flow chart illustrating a method for recommending job information in one embodiment;
FIG. 3 is a block diagram of a job information recommendation system in one embodiment;
FIG. 4 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further 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 present application and are not intended to limit the present application.
The position information recommendation method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. As shown in FIG. 1, the application environment includes a computer device 110. The computer device 110 can perform data processing on job hunting information uploaded by job hunters to obtain key information; the computer device 110 may obtain the user similarity matrix, and predict the missing skill information of the job seeker according to the user similarity matrix and the key information; the computer device 110 may search each post corresponding to the key information, and calculate the post matching degree of each post respectively; the computer device 110 may recommend job information based on the post matching and the missing skill information. The computer device 110 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and other devices.
In one embodiment, as shown in fig. 2, there is provided a job information recommendation method, including the steps of:
step 202, data processing is carried out on job hunting information uploaded by job hunters, and key information is obtained.
The job seeker can create an account through computer equipment, and accordingly inputs own job hunting information through logging in the account. The job hunting information uploaded by the job seeker may be used to represent self-description, resume information, vocational skills, vocational skill levels, employment preferences, etc. of the job seeker, where the employment preferences may be expected salary, job site, etc.
The computer equipment can acquire job hunting information uploaded by job hunters and perform data processing on the job hunting information so as to obtain key information. In particular, the key information may be used to represent key fields in job hunting information.
And 204, acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information.
The user similarity matrix may be pre-computed and stored in a database. After the computer equipment acquires the user similarity matrix from the database, missing skill information of the job seeker can be predicted according to the user similarity matrix and the key information. The missing skill information may be used to indicate the missing professional skills of the job seeker and the level of the missing professional skills, for example, the missing skill information may be information of computer level two, english level six, and the like.
And step 206, searching each post corresponding to the key information, and respectively calculating the post matching degree of each post.
Because the key information contains information such as employment preference of job seeker, the computer equipment can search corresponding posts according to the key information. For example, the key information includes laws of employment preferences of job seekers, and the computer device may search for positions of lawyers, lawyer assistants, legal affairs, and the like corresponding to the laws.
After the computer equipment finds each post, the post matching degree of each post can be respectively calculated according to the key information. The post matching degree can be used for representing the matching degree of the job seeker with the post. For example, let the vocational skill vector of each post b requirement be
This results in a BxM position-skill matrix, where B is the number of positions. The Euclidean distance between the user u and the post b, namely the post matching degree is
And step 208, recommending position information according to the position matching degree and the missing skill information.
In the embodiment, key information is obtained by performing data processing on job hunting information uploaded by job hunters; acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information; searching each post corresponding to the key information, and respectively calculating the post matching degree of each post; and recommending the position information according to the position matching degree and the missing skill information. The missing skill information of the job seeker is predicted, the post matching degree is calculated, accordingly, job recommendation is conducted according to the post matching degree and the skill missing information, and accuracy of job recommendation can be improved.
In an embodiment, the method for recommending job information may further include a process of obtaining key information through data processing, where the specific process includes: extracting target statement information in the job hunting information, and searching key fields in the target statement information; and splitting and recombining the key fields to generate key information.
The computer equipment can adopt a natural language processing technology to extract target statement information for job hunting information gathering, then searches key fields in the target statement information through a text mining technology, and can generate the key information after splitting and recombining the key fields.
In an embodiment, the method for recommending the position information further includes a process of calculating a user similarity matrix, where the specific process includes: acquiring each reference skill information and a reference skill level corresponding to each reference skill information from a database; and calculating a user similarity matrix according to the reference skill information and the reference skill level.
The database may store various reference skill information and reference skill levels. Let us say that each user u has a professional skill vector of
Wherein w is the grade corresponding to the skill, and M is the total number of professional skills. This results in an nxm user-skill matrix, where N is the number of users. The computer device can calculate a user similarity matrix as
Where I represents a skill shared by user u and user v.
In one embodiment, the method for recommending job information may further include a process of predicting the missing skill information of the job seeker, where the process includes: extracting skill information and skill level in the key information; and predicting the missing skill information of the job seeker according to the user similarity matrix, the skill information and the skill level.
The computer device can extract skill information and skill levels in the key information, and can calculate the missing skill information of the job seeker as the user similarity matrix is calculated according to the reference skill information and the reference skill levels. If the user u lacks the skill m, the missing skill information of the job seeker can be represented as
Where T is the set of all users with skill m.
In an embodiment, the provided method for recommending job information may further include a process of calculating a job similarity, where the specific process includes: sequencing all the posts according to the post matching degree to obtain a sequencing result; determining a target position and a non-target position from all the positions according to the sequencing result; and calculating the similarity between the target position and the non-target position.
After the computer equipment calculates the post matching degree e (u, b)The post matching degrees can be sorted to obtain a sorting result. The computer device may determine the target position and the non-target position from the sorting result, specifically, the target position may be K positions with the closest matching degree, and the rest positions are non-target positions. The computer equipment can calculate the similarity between K positions and other positions
Wherein I 'represents the skill required by station b and station b' together.
In one embodiment, the position information may include position information, skill information. Wherein, the post information can comprise information of working post, post compensation and the like; the skill information can be used for prompting the career skills and skill levels required by the job seeker.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 3, there is provided a position information recommendation system including: a data processing module 310, an information prediction module 320, a matching degree calculation module 330, and an information recommendation module 340, wherein:
and the data processing module 310 is configured to perform data processing on job hunting information uploaded by job hunters to obtain key information.
The information prediction module 320 is configured to obtain the user similarity matrix, and predict the missing skill information of the job seeker according to the user similarity matrix and the key information.
And the matching degree calculating module 330 is configured to search each post corresponding to the key information, and calculate a post matching degree of each post respectively.
And the information recommendation module 340 is configured to recommend position information according to the position matching degree and the missing skill information.
In one embodiment, the data processing module 310 is further configured to extract target statement information in the job hunting information, and find key fields in the target statement information; and splitting and recombining the key fields to generate key information.
In one embodiment, the system for recommending position information further comprises a matrix calculation module, configured to obtain each piece of reference skill information from a database, and a reference skill level corresponding to each piece of reference skill information; and calculating a user similarity matrix according to the reference skill information and the reference skill level.
In one embodiment, the matrix calculation module is further configured to extract skill information and skill level in the key information; and predicting the missing skill information of the job seeker according to the user similarity matrix, the skill information and the skill level.
In an embodiment, the system for recommending the position information further comprises a similarity calculation module, configured to sort the positions according to the position matching degree to obtain a sorting result; determining a target position and a non-target position from all the positions according to the sequencing result; and calculating the similarity between the target position and the non-target position.
In one embodiment, the position information includes position information and skill information.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a job information recommendation method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
performing data processing on job hunting information uploaded by job hunters to obtain key information;
acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
searching each post corresponding to the key information, and respectively calculating the post matching degree of each post;
and recommending the position information according to the position matching degree and the missing skill information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: extracting target statement information in the job hunting information, and searching key fields in the target statement information; and splitting and recombining the key fields to generate key information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring each reference skill information and a reference skill level corresponding to each reference skill information from a database; and calculating a user similarity matrix according to the reference skill information and the reference skill level.
In one embodiment, the processor, when executing the computer program, further performs the steps of: extracting skill information and skill level in the key information; and predicting the missing skill information of the job seeker according to the user similarity matrix, the skill information and the skill level.
In one embodiment, the processor, when executing the computer program, further performs the steps of: sequencing all the posts according to the post matching degree to obtain a sequencing result; determining a target position and a non-target position from all the positions according to the sequencing result; and calculating the similarity between the target position and the non-target position.
In one embodiment, the position information includes position information and skill information.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
performing data processing on job hunting information uploaded by job hunters to obtain key information;
acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
searching each post corresponding to the key information, and respectively calculating the post matching degree of each post;
and recommending the position information according to the position matching degree and the missing skill information.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting target statement information in the job hunting information, and searching key fields in the target statement information; and splitting and recombining the key fields to generate key information.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring each reference skill information and a reference skill level corresponding to each reference skill information from a database; and calculating a user similarity matrix according to the reference skill information and the reference skill level.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting skill information and skill level in the key information; and predicting the missing skill information of the job seeker according to the user similarity matrix, the skill information and the skill level.
In one embodiment, the computer program when executed by the processor further performs the steps of: sequencing all the posts according to the post matching degree to obtain a sequencing result; determining a target position and a non-target position from all the positions according to the sequencing result; and calculating the similarity between the target position and the non-target position.
In one embodiment, the position information includes position information and skill information.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A job information recommendation method is characterized by comprising the following steps:
performing data processing on job hunting information uploaded by job hunters to obtain key information;
acquiring a user similarity matrix, and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
searching each post corresponding to the key information, and respectively calculating the post matching degree of each post;
and recommending position information according to the position matching degree and the missing skill information.
2. The method according to claim 1, wherein the data processing of job hunting information uploaded by job hunters to obtain key information comprises:
extracting target statement information in the job hunting information, and searching key fields in the target statement information;
and splitting and recombining the key field to generate the key information.
3. The method of claim 1, further comprising:
acquiring each piece of reference skill information and a reference skill level corresponding to each piece of reference skill information from a database;
and calculating the user similarity matrix according to the reference skill information and the reference skill level.
4. The method of claim 3, wherein predicting the missing skill information of the candidate based on the user similarity matrix and the key information comprises:
extracting skill information and skill level in the key information;
and predicting the missing skill information of the job seeker according to the user similarity matrix, the skill information and the skill level.
5. The method of claim 1, wherein prior to recommending position information based on the position matching degree and the missing skill information, the method further comprises:
sequencing the posts according to the post matching degree to obtain a sequencing result;
according to the sorting result, determining a target position and a non-target position from all the positions;
and calculating the similarity between the target position and the non-target position.
6. The method of claim 1, wherein the position information comprises position information and skill information.
7. A job information recommendation system, the system comprising:
the data processing module is used for carrying out data processing on job hunting information uploaded by job hunters to obtain key information;
the information prediction module is used for acquiring a user similarity matrix and predicting the missing skill information of the job seeker according to the user similarity matrix and the key information;
the matching degree calculation module is used for searching each post corresponding to the key information and calculating the post matching degree of each post respectively;
and the information recommendation module is used for recommending the position information according to the position matching degree and the missing skill information.
8. The system of claim 7, wherein the data processing module is further configured to: extracting target statement information in the job hunting information, and searching key fields in the target statement information; and splitting and recombining the key field to generate the key information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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