CN107391547A - A kind of manpower object data matching process and system - Google Patents

A kind of manpower object data matching process and system Download PDF

Info

Publication number
CN107391547A
CN107391547A CN201710404689.8A CN201710404689A CN107391547A CN 107391547 A CN107391547 A CN 107391547A CN 201710404689 A CN201710404689 A CN 201710404689A CN 107391547 A CN107391547 A CN 107391547A
Authority
CN
China
Prior art keywords
industry
post
code
job seeker
matching degree
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710404689.8A
Other languages
Chinese (zh)
Other versions
CN107391547B (en
Inventor
张芃
杜南山
黄春燕
刘政
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan Wit Management Consulting Co Ltd
Original Assignee
Wuhan Wit Management Consulting Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan Wit Management Consulting Co Ltd filed Critical Wuhan Wit Management Consulting Co Ltd
Priority to CN201710404689.8A priority Critical patent/CN107391547B/en
Publication of CN107391547A publication Critical patent/CN107391547A/en
Application granted granted Critical
Publication of CN107391547B publication Critical patent/CN107391547B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24564—Applying rules; Deductive queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/105—Human resources
    • G06Q10/1053—Employment or hiring
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The present invention provides a kind of manpower object data matching process and system.This method includes：Obtain a job seeker resume corresponding to recruitment item；The information that the job hunting information and recruitment item that extraction job seeker resume includes limit, wherein, job hunting information comprises at least：Industry, industry practicing time, post, post practicing time, technical ability and skill master time, the information that recruitment item limits comprise at least：Industry, post and technical ability；The information that the job hunting information and recruitment item included according to job seeker resume limits, obtains job seeker resume with recruiting industry matching degree, Post Match Degree and the skills match degree of item；According to industry matching degree, Post Match Degree and the skills match degree of job seeker resume and recruitment item, by the disaggregated models of logistic bis-, job seeker resume is obtained with recruiting the matching degree of item；According to matching degree, determine whether job seeker resume matches with recruitment item.The present invention improves the efficiency and accuracy rate of manpower object matching by obtaining job seeker resume automatically and recruiting the matching degree of item.

Description

A kind of manpower object data matching process and system
Technical field
The present invention relates to Data Matching technical field, more particularly to a kind of manpower object data matching process and system.
Background technology
During recruitment, recruitment side finds the job hunter of matching recruitment job position request by screening resume.Job hunter Quick and precisely matching with recruitment side is advantageous to improve efficiency.The mode for adding manual identified generally by automatic screening at present is entered The screening of row job seeker resume.Wherein, automatic screening be by the necessary conditions such as age, sex, wages carry out range set, from And it can be imposed a condition according to these and automatic identification is carried out to resume.And manual identified needs by artificial mode to job hunter and Recruitment post carries out the overall merit for including industry, post and technical ability etc..It is this when there is substantial amounts of resume to need to be screened Manual identified method efficiency is low and subjectivity is strong, erroneous matching result easily occurs.
The content of the invention
The embodiment of the present invention provides a kind of manpower object data matching process and system, is mainly passed through with solving prior art Artificial screening resume so that the problem of efficiency is low.
First aspect, there is provided a kind of manpower object data matching process, including：Obtain a job hunting letter corresponding to recruitment item Go through；Job hunting information and the information recruited item and limited that the job seeker resume includes are extracted, wherein, the job hunting information is at least Including：Industry, industry practicing time, post, post practicing time, technical ability and skill master time, what the recruitment item limited Information comprises at least：Industry, post and technical ability；What the job hunting information and the recruitment item included according to the job seeker resume limited Information, obtain industry matching degree, Post Match Degree and the skills match degree of the job seeker resume and the recruitment item；According to described Industry matching degree, Post Match Degree and the skills match degree of job seeker resume and the recruitment item, pass through the classification moulds of logistic bis- Type, obtain the matching degree of the job seeker resume and the recruitment item；According to the matching degree, determine the job seeker resume with it is described Whether recruitment item matches.
Second aspect, there is provided a kind of manpower object data matching system, including：First acquisition module, recruited for obtaining A job seeker resume corresponding to；Extraction module, for extracting job hunting information and the recruitment item limit that the job seeker resume includes Fixed information, wherein, the job hunting information comprises at least：Industry, industry practicing time, post, post practicing time, technical ability and Skill master time, the information that the recruitment item limits comprise at least：Industry, post and technical ability；Second acquisition module, for root The information that the job hunting information and the recruitment item included according to the job seeker resume limits, obtains the job seeker resume and the recruitment Industry matching degree, Post Match Degree and the skills match degree of item；3rd acquisition module, for according to the job seeker resume with it is described Industry matching degree, Post Match Degree and the skills match degree of item are recruited, by the disaggregated models of logistic bis-, obtains the job hunting The matching degree of resume and the recruitment item；Determining module, for according to the matching degree, determining the job seeker resume and the trick Engage whether item matches.
So, in the embodiment of the present invention, the job hunting information that is included by extracting job seeker resume can obtain job seeker resume automatically Industry matching degree, Post Match Degree and skills match degree with recruiting item, further according to these three matching degrees, pass through logistic bis- Disaggregated model, job seeker resume can be obtained automatically with recruiting the matching degree of item, so as to according to matching degree automatic discrimination job seeker resume Whether matched with recruitment item, so as to be screened to job seeker resume, to improve the efficiency of manpower object matching and accuracy rate.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings Obtain other accompanying drawings.
Fig. 1 is the flow chart of the manpower object data matching process of the embodiment of the present invention；
Fig. 2 is the industry matching degree, Post Match Degree and the technical ability that obtain job seeker resume and recruitment item of the embodiment of the present invention The flow chart of the step of matching degree；
Fig. 3 is the first of each industry that the acquisition job seeker resume of the embodiment of the present invention includes and the industry that recruitment item limits The flow chart of the step of matching degree；
The flow chart for the step of Fig. 4 is the acquisition industry matching degree of the embodiment of the present invention；
Fig. 5 is the second of each post that the acquisition job seeker resume of the embodiment of the present invention includes and the post that recruitment item limits The flow chart of the step of matching degree；
Fig. 6 is flow chart the step of obtaining Post Match Degree of the embodiment of the present invention；
Fig. 7 is the flow chart for the step of acquisition skills match of the embodiment of the present invention is spent；
Fig. 8 is the flow chart for the step of whether the determination job seeker resume of the embodiment of the present invention matches with recruitment item；
Fig. 9 is the structured flowchart of the manpower object data matching system of the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, rather than whole embodiments.Based on this hair Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made Example, belongs to the scope of protection of the invention.
The present invention provides a kind of manpower object data matching process.As shown in figure 1, the party includes the steps：
Step S10：Obtain a job seeker resume corresponding to recruitment item.
Recruitment item refers to the work of recruitment.Each recruitment item represents the work of a recruitment.For example, recruitment item is recruitment English Translation personnel.
Step S20：The information that the job hunting information and recruitment item that extraction job seeker resume includes limit.
The extraction of the job hunting information included for job seeker resume can be by extracting the keyword recognition in resume.Job hunting information Comprise at least：Industry, industry practicing time, post, post practicing time, technical ability and skill master time.
It is that recruitment side is default to recruit the information that item limits.The information that recruitment item limits comprises at least：Industry, post and skill Energy.
Industry generally refers to what is divided by production like product or with same process process or the service of offer same sort of labour Economic activity classification, for example, paddy growing industry, electrically installation industry, Environmental sanitation management industry etc..
Post generally refers in a specific business organization, within a specific time, by a specific people One undertaken or several tasks are formed, for example, enterprise president, nutrient diet person, aircraft rigger etc..
Technical ability generally refers to be engaged in the ability required for certain work.For example, computer skill, English language skills, driving skill Can etc..
In the present embodiment, according to the experience of job hunter, it can include at least in the job hunting information that a job seeker resume includes One industry, at least one post and at least one technical ability.One recruitment item include an industry, a post and at least one of Technical ability.
Step S30：The information that the job hunting information and recruitment item included according to job seeker resume limits, obtains job seeker resume with recruiting Engage industry matching degree, Post Match Degree and the skills match degree of item.
The information that the job hunting information included by comparing job seeker resume limits with recruitment item, according to the information related to industry Comparison result, industry matching degree can be obtained；According to the comparison result of the information related to post, Postmatch can be obtained Degree；According to the comparison structure results of the information related to technical ability, skills match degree can be obtained.
Step S40：According to industry matching degree, Post Match Degree and the skills match degree of job seeker resume and recruitment item, pass through The disaggregated models of logistic bis-, job seeker resume is obtained with recruiting the matching degree of item.
On the basis of step S30 obtains industry matching degree, Post Match Degree and skills match degree, to these three matchings Degree carries out comprehensive assessment by the disaggregated models of logistic bis-, can obtain job seeker resume with recruiting the matching degree of item.
Step S50：According to matching degree, determine whether job seeker resume matches with recruitment item.
The matching degree obtained according to step S40, can determine whether job seeker resume matches with recruitment item according to the matching degree, from And resume is screened, leave the resume for meeting matching degree.
Specifically, as shown in Fig. 2 step S30 is carried out according to following process：
Step S31：The industry that each industry and recruitment item included according to job seeker resume limits, obtains job seeker resume and includes Each industry and recruitment item limit industry the first matching degree.
The step is to compare whether the industry that job seeker resume includes matches with the industry that recruitment item limits.As shown in figure 3, should Step may particularly include following process：
Step S311：Obtain default industry list.
Industry list includes multiple industries, and according to the scope order hierarchical classification from big to small of category of employment.Often One-level category of employment is represented that the industry code of industry is made up of every one-level industry code by every one-level industry code.The sector arranges Table standard typically known to use, such as《Industrial sectors of national economy is classified and code (GB_T_4754-2011)》.
Step S312：The industry included according to job seeker resume, the industry pair that job seeker resume includes is obtained from industry list The first industry code answered.
Used for example, working as《Industrial sectors of national economy is classified and code (GB_T_4754-2011)》When, what job seeker resume included Industry is paddy growing industry, then the first industry code corresponding to acquisition paddy growing industry is A0111 from industry list.
Step S313：The industry limited according to recruitment item, obtained from industry list corresponding to the industry that recruitment item limits Secondary industry code.
Used for example, working as《Industrial sectors of national economy is classified and code (GB_T_4754-2011)》When, what job seeker resume included Industry is wheat planting industry, then secondary industry code corresponding to acquisition wheat planting industry is A0112 from industry list.
Step S314：Compare every grade of industry code that the first industry code includes and every grade of row that secondary industry code includes Industry code.
During comparison, it is possible that following three situation, then handled by different steps respectively, tool Body is as follows：
Step S315：When every grade of industry that every grade of industry code and secondary industry code that the first industry code includes include Code all same, the first matching degree of the industry that the industry that job seeker resume includes limits with recruitment item is obtained as 1.
Step S316：When the first order that first order industry code and secondary industry code that the first industry code includes include Industry code is different, obtains the first matching degree of the industry that the industry that job seeker resume includes limits with recruitment item as A1。
The A1Obtained by default, typically have different values according to the different industry lists of selection.
Step S317：When the preceding m levels row that preceding m levels industry code and secondary industry code that the first industry code includes include Industry code all same, and the m+1 levels that the m+1 levels industry code that includes of the first industry code and secondary industry code include Industry code differs, then obtains industry and the recruitment item restriction that job seeker resume includes according to the industry matched rule of m+1 levels Industry the first matching degree.
Wherein, the industry matched rule of m+1 levels is：
P1=A1+A2+…+Am+Am+1×(1-|Rm+1-Dm+1|/Cm+1)。
P1 represents the first matching degree.AmRepresent the industry coefficient of m levels.The industry coefficient of the m levels is default coefficient, It is different with the rank of classification industry code, it can specifically combine the industry list used and preset.Cm+1Represent m+1 levels The quantity of the classification of trade classification.Rm+1Represent the m+1 level industry codes that the first industry code includes, Dm+1Represent secondary industry The m+1 level industry codes that code includes.
Below with《Industrial sectors of national economy is classified and code (GB_T_4754-2011)》The specific of this step was calculated Journey is illustrated.
《Industrial sectors of national economy is classified and code (GB_T_4754-2011)》In, the scope of first order category of employment is maximum, First order industry code is by letter expression, such as A, B, C.Scope of the scope of second level category of employment than first order category of employment Small, the code that second level industry code is made up of two digits represents, e.g., 01,02,03 etc..The scope of third level category of employment Smaller than the scope of second level category of employment, third level industry code is represented by one-bit digital, and it is located at second level industry code After two digits, then three bit digitals that second level industry code and third level industry code are formed such as, 011,012,013 etc.. The scope of fourth stage category of employment is smaller than the scope of third level category of employment, and fourth stage industry code is represented by one-bit digital, its After the one-bit digital of third level industry code, then second level industry code, third level industry code and fourth stage industry The 4-digit number such as 0111,0112,0113 etc. that code is formed.It should be understood that first order industry code is in the present embodiment It is industry code that level Four industry code, which is arranged in order the array to be formed,.For example,《Industrial sectors of national economy is classified and code (GB_T_ 4754-2011)》In, A0141 represents vegetable cultivation industry, and A0152 represents wine-growing industry, and A0161 represents nut plantation row Industry.In the present embodiment, A1=0.5, A2=0.2, A3=0.2, A4=0.1.
(1) whether compare the first industry code identical with first order industry code that secondary industry code includes.
For example, the industry that job seeker resume includes is foundation industry, the first order that its corresponding first industry code includes Industry code is A (public administration, social security and social organization).The industry for recruiting item requirement is sport economy people, and it is corresponding The first order industry code that includes of secondary industry code be R (culture, physical culture and show business).The first order industry generation of both Code is different, then the first matching degree is A1, i.e., 0.5.
For example, the industry that job seeker resume includes is lottery activity industry, its corresponding first industry code include first Level industry code is R (culture, physical culture and show business).The industry of recruitment item requirement is sport economy people, its corresponding second row The first order industry code that industry code includes is R (culture, physical culture and show business).The first order industry code of both is identical, The step of being then compared the second level industry code of both.
(2) when the first industry code is identical with the first order industry code that secondary industry code includes, then the first row is compared Whether industry code and the second level industry code that secondary industry code includes are identical.
For example, the industry that job seeker resume includes is sports organization's industry, the industry of recruitment item requirement is sport economy people, this Both first order industry codes are R, therefore, compare the second level industry that the first industry code includes with secondary industry code Whether code is identical.The second level industry code that first industry code corresponding to sports organization's industry includes is 88 (physical culture).Body It is 89 (show businesses) to educate the second level industry code that secondary industry code corresponding to Broker includes.The second level industry of both Code is different.The industry coefficient A of the default first order1=0.5, the industry coefficient A of the second level2=0.2.First order industry code Comprising second level trade classification be：Press and publishing industry (85), broadcast, TV, film and video display record industry (86), text Change the quantity C of artistic industry (87), physical culture (88) and show business (89), the then classification of second level trade classification2=5.First industry The second level industry code R that code includes2=88.The second level industry code D that secondary industry code includes2=89.First matching Spend for P1=0.5+0.2 × (1- | 88-89 |/5)=0.66.
For example, the industry that job seeker resume includes is lottery activity industry, the industry of recruitment item requirement is sport economy people, this Both first order industry codes are R, therefore, compare the second level industry that the first industry code includes with secondary industry code Whether code is identical.The second level industry code that first industry code corresponding to lottery activity industry includes is 89 (show businesses). The second level industry code that secondary industry code corresponding to sport economy people includes is 89 (show businesses).The second level row of both Industry code is identical, then the step of being compared the third level industry code of both.
(3) when the first industry code is identical with the preceding two-stage industry code that secondary industry code includes, then the first row is compared Whether industry code and the third level industry code that secondary industry code includes are identical.
For example, the industry that job seeker resume includes is lottery activity industry, the industry of recruitment item requirement is sport economy people, this Both first order industry codes are R, and second level industry code is 89, therefore, compares the first industry code and the second row Whether the third level industry code that industry code includes is identical.The third level that first industry code corresponding to lottery activity industry includes Industry code is (89) 3 (culture, amusement, sport economy agencies).Secondary industry code corresponding to sport economy people include Three-level industry code is (89) 4 (culture, amusement, sport economy agencies).The third level industry code of both is different.It is default The industry coefficient A of the first order1=0.5, the industry coefficient A of the second level2=0.2, the industry coefficient A of the third level3=0.2.The third level Trade classification is：Indoor amusement activity (891), amusement park (892), lottery activity (893), culture, amusement, sport economy agency (894) and other show businesses (899), the then quantity C of the classification of second level trade classification3=5.First industry code include Three-level industry code R3=3.The third level industry code D that secondary industry code includes3=4.First matching degree is P1=0.5+ 0.2+0.2 × (1- | 3-4 |/5)=0.86.
For example, the industry that job seeker resume includes is entertainment Broker, the industry of recruitment item requirement is sport economy people, The first order industry code of both is R, and second level industry code is 89, therefore, compares the first industry code and second Whether the third level industry code that industry code includes is identical.Secondary industry code corresponding to entertainment Broker include Three-level industry code is (89) 4 (culture, amusement, sport economy agencies).Secondary industry code includes corresponding to sport economy people Third level industry code for (89) 4 (culture, amusement, sport economy agency).The third level industry code of both is identical, then The step of being compared the fourth stage industry code of both.
(4) when the first industry code is identical with the preceding three-level industry code that secondary industry code includes, then the first row is compared Whether industry code and the fourth stage industry code that secondary industry code includes are identical.
For example, the industry that job seeker resume includes is entertainment Broker, the industry of recruitment item requirement is sport economy people, The first order industry code of both is R, and second level industry code is 89, and third level industry code is 4, therefore, than It is whether identical compared with the first industry code and fourth stage industry code that secondary industry code includes.Corresponding to entertainment Broker The fourth stage industry code that secondary industry code includes is (894) 1.Secondary industry code corresponding to sport economy people include Level Four industry code is (894) 2.The fourth stage industry code of both is different.The industry coefficient A of the default first order1= 0.5, the industry coefficient A of the second level2=0.2, the industry coefficient A of the third level3=0.2, the industry coefficient A of the fourth stage4=0.1.The Level Four trade classification is：Entertainment Broker (8941), sport economy people (8942) and other culture and arts economy agency (8949), the then quantity C of the classification of fourth stage trade classification4=3.The fourth stage industry code R that first industry code includes4= 1.The fourth stage industry code D that secondary industry code includes4=2.First matching degree be P1=0.5+0.2+0.2+0.1 × (1- | 1-2 |/3)=0.97.
For example, the industry that job seeker resume includes is sport economy people, the industry of recruitment item requirement is sport economy people, and this two The first order industry code of person is R, and second level industry code is 89, and third level industry code is 4, fourth stage industry generation Code is 1.The every one-level industry code all same of both, then the first matching degree is 1.
In the present embodiment, industry list has only divided level Four, therefore the step terminates.
By above-mentioned specific steps, the industry that can be finally limited according to the industry and recruitment item that job seeker resume includes, obtain Obtain both the first different matching degrees.
Step S32：Each industry pair that each the industry practicing time and job seeker resume included according to job seeker resume includes The first matching degree answered, obtain the first empirical value corresponding to each industry that job seeker resume includes.
Specifically, first according to corresponding to the industry practicing time that job seeker resume includes and industry that job seeker resume includes With degree, the first empirical value is obtained according to the first empirical rule.
First empirical rule is as follows：
E1 represents the first empirical value, and y1 represents the industry practicing time of job hunting information.For example, industry practicing time can be adopted In units of year, minimum step is January.When more than p months, but during less than p+1 months, it is designated as p months, is then scaled The numerical value remembered with year.
Such as industry practicing time is 12.5 months, then is designated as 12 months, in units of year, the sector practicing time y1 is 1.First matching degree P1 is 0.5, then the first empirical value is：
Step S33：According to every one first matching degree and every one first empirical value, industry matching degree is obtained.
As shown in figure 4, the step specifically includes following process：
Step S3301：First matching degree of the industry that each industry and recruitment item included according to job seeker resume limits, ask First empirical value corresponding to each industry that duty resume includes, according to each industry matching of the sub- matching degree Rule of industry Degree.
Wherein, the sub- matching degree rule of industry is：IMDi=P1i×E1i。
IMDiThe sub- matching degree of each industry, i=1,2,3 ... ..., N are represented, N represents the number for the industry that job seeker resume includes Amount.
For example, the quantity for the industry that job seeker resume includes is 3.First matching degree corresponding to industry 1 is 1, the first empirical value For 1, the sub- matching degree of industry is 1；First matching degree corresponding to industry 2 is 0.5, and the first empirical value is 1.46, the sub- matching degree of industry It is 0.66 for the first matching degree corresponding to 0.73 industry 3, the first empirical value is 1.32, and the sub- matching degree of industry is 0.87.
Step S3302：According to the sub- matching degree of each industry, according to industry matching degree Rule industry matching degree.
Wherein, industry matching degree rule is：
IMD=1- (1-IMD1)×(1-IMD2)×…×(1-IMDN)。
Wherein, IMD represents industry matching degree.
For example, the sub- matching degree of industry that step S3301 is obtained is respectively：1st, 0.73 and 0.87, then industry matching degree IMD= 1- (1-1) × (1-0.73) × (1-0.87)=1.
Step S34：The post that each post and recruitment item included according to job seeker resume limits, obtains job seeker resume and includes Each post and recruitment item limit post the second matching degree.
The step is to compare whether the post that job seeker resume includes matches with the post that recruitment item limits.As shown in figure 5, should Step may particularly include following process：
Step S341：Obtain default post list.
Post list includes multiple posies, and according to the classification order hierarchical classification from big to small in post.Per one-level Post classification is shown that the post code in post is made up of every one-level post code by every one-level status code table.The post list one As using known standard, such as《Labour market occupational classification and code (LB501-2002)》.
Step S342：The post included according to job seeker resume, the post pair that job seeker resume includes is obtained from the list of post The the first post code answered.
Used for example, working as《Labour market occupational classification and code (LB501-2002)》When, hilllock that job seeker resume includes Position is performer, then it is 2100300 that the first post code corresponding to performer is obtained from the list of post.
Step S343：The post limited according to recruitment item, the post pair that recruitment item limits is obtained from the class list of post The the second post code answered.
Used for example, working as《Labour market occupational classification and code (LB501-2002)》When, the post of recruitment item restriction For instrument playing person, then it is 2100400 that the second post code corresponding to instrument playing person is obtained from the list of post.
Step S344：Compare every grade of post code that the first post code includes and every grade of hilllock that the second post code includes Position code.
During comparison, it is possible that following three situation, then handled by different steps respectively, tool Body is as follows：
Step S345：When every grade of post that every grade of post code and the second post code that the first post code includes include Code all same, second matching degree in the post that the post that job seeker resume includes limits with recruitment item is obtained as 1.
Step S346：When the first order that the first order post code that the first post code includes and the second post code include Post code is different, obtains second matching degree in the post that the post that job seeker resume includes limits with recruitment item as F1。
Step S347：When the preceding n levels hilllock that preceding n levels post code and the second post code that the first post code includes include Position code all same, and (n+1)th grade that (n+1)th grade of post code including of the first post code and the second post code include Post code differs, then the post and recruitment item included according to (n+1)th grade of Postmatch Rule job seeker resume limits Post the second matching degree.
Wherein, (n+1)th grade of Postmatch rule is：
P2=F1+F2+……+Fn+Fn+1×(1-|rn+1-dn+1|/Gn+1)。
P2 represents the second matching degree, FnN-th grade of post coefficient, G are represented respectivelyn+1Represent the class of (n+1)th grade of post classification Other quantity, rn+1Represent (n+1)th grade of post code that the first post code includes, dn+1Represent the second post code includes N+1 levels post code.
Below with《Labour market occupational classification and code (LB501-2002)》To the specific calculating process of this step It is illustrated.
《Labour market occupational classification and code (LB501-2002)》In, the scope of first order post classification is maximum, the One-level post code represents by one-bit digital, such as 1,2,3.Model of the scope of second level post classification than first order post classification Enclose small, the code that second level post code is made up of two digits represents, its be located at the one-bit digital of first order post code it Afterwards, then first order post code and second level post code form three bit digitals, and such as 105,201,203.Third level post class Other scope is smaller than the scope of second level post classification, and third level post code is represented that it is located at second level hilllock by two digits After the two digits of position code, then first order post code, second level post code and third level post code form five Numeral, such as 20232,20301,20501.The scope of fourth stage post classification is smaller than the scope of third level post classification, and the 4th Level post code is represented that it is located at after the two digits of third level post code by two digits, then first order post code, Second level post code, third level post code and fourth stage post code form seven bit digitals, such as 2049900,2050100, 2060600 etc..It should be understood that first order post code to fourth stage post code is arranged in order what is formed in the present embodiment Array is post code.For example,《Labour market occupational classification and code (LB501-2002)》In, 2060400 represent to examine Teacher is counted, 2070200 represent insurance business personnel, and 2090300 represent secondary school teachers.In the list of the present embodiment, for convenience For the sake of, all represent that the data of the position after this grade are represented with 0 with 7 numerals per one-level post code.In the embodiment, F1=0.5, F2=0.25, F3=0.15, F4=0.1.
(1) whether compare the first post code identical with first order post code that the second post code includes.
For example, the post that job seeker resume includes is performer, the first order post generation that its corresponding first post code includes Code is 2 (2000000 are designated as in table).The post for recruiting item requirement is administrative business personnel, its corresponding second post code bag The first order post code contained is 3 (3000000 are designated as in table).The first order post code of both is different, then the first matching Spend for F1, i.e., 0.5.
For example, the post that job seeker resume includes is performer, the first order post generation that its corresponding first post code includes Code is 2 (2000000 are designated as in table).The post for recruiting item requirement is grade teacher, what its corresponding second post code included First order post code is 2 (2000000 are designated as in table).The first order post code of both is identical, then be compared this two The step of second level post code of person.
(2) when the first post code is identical with the first order post code that the second post code includes, then the first hilllock is compared Whether position code and the second level post code that the second post code includes are identical.
For example, the post that job seeker resume includes is performer, the post of recruitment item requirement is grade teacher, both first Level post code is 2, therefore, compare second level post code that the first post code includes with the second post code whether phase Together.The second level post code that first post code corresponding to performer includes is 10 (2100000 are designated as in table).Grade teacher couple The second level post code that the second post code answered includes is 09 (2090000 are designated as in table).The second level post of both Code is different.The post coefficient F of the default first order1=0.5, the post coefficient F of the second level2=0.25.Classify in second level post For：Scientific research personnel (2010000), engineers and technicians (2020000), professional of agriculture (2030000), aircraft marine technology Personnel (2040000), professional medical workers (2050000), economic work personnel (2060000), financial business personnel (2070000), legal professionals (2080000), faculty (2090000), writer and artist (2100000), body Worker (2110000) and journalism cultural worker (2120000) are educated, then the quantity G of the classification of second level post classification2 =12.The second level post code r that first post code includes2=10.The second level post code d that second post code includes2 =09.Second matching degree is P2=0.5+0.25 × (1- | 10-9 |/12)=0.73.
For example, the post that job seeker resume includes is performer, the post of recruitment item requirement is instrument playing person, both the One-level post code is 2, therefore, whether compares second level post code that the first post code and the second post code include It is identical.The second level post code that first post code corresponding to performer includes is 10 (2100000 are designated as in table).Instrument playing The second level post code that second post code corresponding to member includes is 10 (2100000 are designated as in table).The second level of both Post code is identical, then the step of being compared the third level post code of both.
(3) when the first post code is identical with the preceding two-stage post code that the second post code includes, then the first hilllock is compared Whether position code and the third level post code that the second post code includes are identical.
For example, the post that job seeker resume includes is performer, the post of recruitment item requirement is instrument playing person, both the One-level post code is 2, and second level post code is 10, therefore, compares the first post code and the second post code bag Whether the third level post code contained is identical.The third level post code that first post code corresponding to performer includes is 03 (table In be designated as 2100300).The third level post code that second post code corresponding to instrument playing person includes (is designated as 04 in table 2104000).The third level post code of both is different.The post coefficient F of the default first order1=0.5, the hilllock of the second level Potential coefficient F2=0.25, the post coefficient F of the third level3=0.15.Third level post is categorized as：Literary and artistic creation and comment personnel (2100100), director and conductor personnel (2100200), performer (2100300), instrument playing person (2100400), video display Making and stage professional (2100500), art major personnel (2100600), Gongmei decoration dress advertisements designer (2100700) and other writer and artist (2109900), the then quantity G of the classification of third level post classification3=8.First The third level post code r that post code includes3=03.The third level post code d that second post code includes3=04.Second Matching degree is P2==0.5+0.25+0.15 × (1- | 3-4 |/8)=0.88.
For example, the post that job seeker resume includes is designer, the post of recruitment item requirement is advertisement designer, this Both first order post codes are 2, and second level post code is 10, therefore, compares the first post code and the second hilllock Whether the third level post code that position code includes is identical.Third level post code corresponding to both is 07 (to be designated as in table 2100700).Therefore, the preceding three-level post code all same of both, then be compared the fourth stage post code of both Step.
(4) when the first post code is identical with the preceding three-level post code that the second post code includes, then the first hilllock is compared Whether position code and the fourth stage post code that the second post code includes are identical.
For example, the post that job seeker resume includes is designer, the post of recruitment item requirement is Decoration people Member, the first order post code of both is 2, and second level post code is 10, and third level post code is 07, because Whether this, it is identical with fourth stage post code that the second post code includes to compare the first post code.Designer is corresponding The fourth stage post code that includes of the first post code be 05.The second post code includes corresponding to Decoration personnel Fourth stage post code be 06.The fourth stage post code of both is different.The post coefficient F of the default first order1= 0.5, the post coefficient F of the second level2=0.25, the post coefficient F of the third level3=0.15, the post coefficient F of the fourth stage4=0.1. Fourth stage post is categorized as：Decorate art designer (2100704), designer (2100705), Decoration people The quantity G of member (2100706) and advertisement designer (2100708), the then classification of fourth stage post classification4=4.First post The fourth stage post code r that code includes4=05.The fourth stage post code d that second post code includes4=06.Second matching Spend for P2=0.5+0.25+0.15+0.1 × (1- | 5-6 |/4)=0.98.
For example, the post that job seeker resume includes is designer, the post of recruitment item requirement is designer, and this two Every one-level post code all same of person, then the first matching degree is 1.
In the present embodiment, post list has only divided level Four, therefore the step terminates.
By above-mentioned specific steps, the post that can be finally limited according to the post and recruitment item that job seeker resume includes, obtain Obtain both the first different matching degrees.
Step S35：Each post pair that each the post practicing time and job seeker resume included according to job seeker resume includes The second matching degree answered, obtain the second empirical value corresponding to each post that job seeker resume includes.
Specifically, second according to corresponding to the post practicing time that job seeker resume includes and post that job seeker resume includes With degree, the second empirical value is obtained according to the second empirical rule.
Wherein, the second empirical rule is as follows：
E2 represents the second empirical value, and y2 represents the post practicing time that job seeker resume includes.For example, post practicing time with Year is unit, and minimum step is January.When more than s months, but during less than s+1 months, be designated as s months, be then scaled with The numerical value that year is remembered.
Such as post practicing time is 12.5 months, then is designated as 12 months, in units of year, post practicing time y2 is 1.Second matching degree P2 is 0.5, then the second empirical value is：
Step S36：According to every one second matching degree and every one second empirical value, Post Match Degree is obtained.
As shown in fig. 6, the step specifically includes following process：
Step S3601：Second matching degree in the post that each post and recruitment item included according to job seeker resume limits, ask Second empirical value corresponding to each post that duty resume includes, according to each post matching of the sub- matching degree Rule in post Degree.
Wherein, the sub- matching degree rule in post is PMDj=P2j×E2j。
PMDjThe sub- matching degree in each post, j=1,2,3 ... ..., M are represented, M represents the number in the post that job seeker resume includes Amount.
For example, the quantity in the post that job seeker resume includes is 3.Second matching degree corresponding to post 1 is 0.7, post working Time is 2.1 years, then the second empirical value is 1.33, and the sub- matching degree in post is 0.93；Second matching degree corresponding to post 2 is 0.5, Post practicing time is 1 year, then the second empirical value is 1.46, and the sub- matching degree in post is 0.73, the second matching degree corresponding to post 3 For 0.8, post practicing time is 0.5 year, then the second empirical value is 1.03, and the sub- matching degree in post is 0.9.
Step S3602：According to the sub- matching degree in each post, according to Post Match Degree Rule Post Match Degree.
Wherein, Post Match Degree rule is：
PMD=1- (1-PMD1)×(1-PMD2)×…×(1-PMDM)。
Wherein, PMD represents Post Match Degree.
For example, the sub- matching degree in post that step S3601 is obtained is respectively：0.93rd, 0.73 and 0.9, then Post Match Degree IMD =1- (1-0.93) × (1-0.73) × (1-0.9)=0.99.
Step S37：Obtain every one first technical ability of the skills match limited in the technical ability that job seeker resume includes with recruitment item.
The technical ability that job seeker resume includes may include the technical ability beyond the technical ability that recruitment item limits.Can be by this by the step A little technical ability exclude.
Step S38：The skill master time of every one first technical ability included according to job seeker resume, and every one first technical ability Weight, obtain skills match degree.
As shown in fig. 7, the step specifically includes following process：
Step S3801：The skill master time of every one first technical ability included according to job seeker resume, advised according to the 3rd experience Then obtain the empirical value for every one first technical ability that job seeker resume includes.
Wherein, the 3rd empirical rule isK=1,2,3 ... ..., T.
T represents the quantity of the first technical ability.SLkRepresent the empirical value of every one first technical ability.Y3 represents the technical ability of the first technical ability Take the time.For example, the skill master time of the first technical ability, in units of year, minimum step is January.When more than q months, but not At sufficient q+1 months, it is designated as q months, is then scaled the numerical value remembered with year.For example, the skill master time of the first technical ability For 12.5 months, then it is designated as 12 months, in units of year, the skill master time y3 of first technical ability is 1, then：
Step S3802：According to the empirical value of every one first technical ability and the weight of every one first technical ability, according to skills match degree Rule skills match degree.
Wherein, skills match metric is then：
SMD represents skills match degree, WkRepresent the weight of every one first technical ability.
By above-mentioned step, job seeker resume can be obtained with recruiting industry matching degree, Post Match Degree and the technical ability of item Matching degree.
Specifically, in step S40, the disaggregated models of logistic bis- are as follows：
M represents matching degree, K0、K1、K2And K3Represent model parameter.The model parameter can pass through substantial amounts of historical sample number According to being obtained using gradient descent algorithm：
In matched database, z group sample datas are extracted, it is as follows：
……
Above-mentioned sample data is substituted into the disaggregated models of logistic bis-, obtains following z equation：
……
Model parameter { the K of the above-mentioned disaggregated models of logistic bis- is solved by gradient descent method0,K1,K2,K3}。
Specifically, set：
Then model parameter K iterative formula is as follows：
K=K- α XT·Error
Wherein α is default learning rate, XTFor X transposed matrix.
By above-mentioned process, specific model parameter can obtain.
Specifically, as shown in figure 8, step S50 includes following process：
Step S51：Matching degree is contrasted with matching section.
The matching section of the present embodiment is [0.2,0.8].
If matching degree is less than the lower threshold in matching section, such as matching degree M ＜ 0.2, then step S52 is carried out；If matching Degree is more than the upper limit threshold in matching section, such as matching degree M ＞ 0.8, then carries out step S53；If matching degree is positioned at matching section It is interior, such as 0.2≤M≤0.8, then carry out step S54.
Step S52：Determine that job seeker resume mismatches with recruitment item.
When job seeker resume mismatches with recruitment item, the job seeker resume can be excluded.
Step S53：Determine that job seeker resume matches with recruitment item.
When job seeker resume matches with recruitment item, the job seeker resume may be selected, for example, notifying the job hunter of the job seeker resume Interview.
Step S54：Job seeker resume is matched by artificial mode with recruitment item.
When matching degree positioned at matching section in, then still can not accurately be differentiated by this method the job seeker resume whether with recruitment Item matching, now, still needs to carry out matching screening to these resumes by artificial mode.
To sum up, the method for the embodiment of the present invention can obtain job hunting automatically by extracting the job hunting information that job seeker resume includes Industry matching degree, Post Match Degree and the skills match degree of resume and recruitment item, further according to these three matching degrees, pass through The disaggregated models of logistic bis-, job seeker resume can be obtained automatically with recruiting the matching degree of item, so as to sentence automatically according to matching degree Whether other job seeker resume matches with recruitment item, so as to be screened to job seeker resume, to improve the efficiency of manpower object matching And accuracy rate.
The embodiment of the invention also discloses a kind of manpower object data matching system.As shown in figure 9, the system includes：
First acquisition module 901, for obtaining a job seeker resume corresponding to recruitment item.
Extraction module 902, the information limited for extracting the job hunting information that job seeker resume includes with recruitment item.
Wherein, job hunting information comprises at least：Industry, industry practicing time, post, post practicing time, technical ability and technical ability Take the time, the information that recruitment item limits comprises at least：Industry, post and technical ability.
Second acquisition module 903, the information that job hunting information and recruitment item for being included according to job seeker resume limit, is obtained Industry matching degree, Post Match Degree and the skills match degree of job seeker resume and recruitment item.
3rd acquisition module 904, for industry matching degree, Post Match Degree and the technical ability according to job seeker resume and recruitment item Matching degree, by the disaggregated models of logistic bis-, job seeker resume is obtained with recruiting the matching degree of item.
Determining module 905, for according to matching degree, determining whether job seeker resume matches with recruitment item.
To sum up, the system of the embodiment of the present invention can obtain job hunting automatically by extracting the job hunting information that job seeker resume includes Industry matching degree, Post Match Degree and the skills match degree of resume and recruitment item, further according to these three matching degrees, pass through The disaggregated models of logistic bis-, job seeker resume can be obtained automatically with recruiting the matching degree of item, so as to sentence automatically according to matching degree Whether other job seeker resume matches with recruitment item, so as to be screened to job seeker resume, to improve the efficiency of manpower object matching And accuracy rate.
For device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, it is related Part illustrates referring to the part of embodiment of the method.
Each embodiment in this specification is described by the way of progressive, what each embodiment stressed be with The difference of other embodiment, between each embodiment identical similar part mutually referring to.
Although having been described for the preferred embodiment of the embodiment of the present invention, those skilled in the art once know base This creative concept, then other change and modification can be made to these embodiments.So appended claims are intended to be construed to Including preferred embodiment and fall into having altered and changing for range of embodiment of the invention.
Finally, it is to be noted that, herein, such as first and second or the like relational terms be used merely to by One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation Between any this actual relation or order be present.Moreover, term " comprising ", "comprising" or its any other variant meaning Covering including for nonexcludability, so that process, method, article or mobile terminal including a series of elements are not only wrapped Those key elements, but also the other element including being not expressly set out are included, or is also included for this process, method, article Or the key element that mobile terminal is intrinsic.In the absence of more restrictions, wanted by what sentence "including a ..." limited Element, it is not excluded that other identical element in the process including the key element, method, article or terminal device also be present.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.

Claims (10)

  1. A kind of 1. manpower object data matching process, it is characterised in that including：
    Obtain a job seeker resume corresponding to recruitment item；
    Job hunting information and the information recruited item and limited that the job seeker resume includes are extracted, wherein, the job hunting information is extremely Include less：Industry, industry practicing time, post, post practicing time, technical ability and skill master time, the recruitment item limit Information comprise at least：Industry, post and technical ability；
    The information that the job hunting information and the recruitment item included according to the job seeker resume limits, obtains the job seeker resume and institute State industry matching degree, Post Match Degree and the skills match degree of recruitment item；
    According to industry matching degree, Post Match Degree and the skills match degree of the job seeker resume and the recruitment item, pass through The disaggregated models of logistic bis-, obtain the matching degree of the job seeker resume and the recruitment item；
    According to the matching degree, determine whether the job seeker resume matches with the recruitment item.
  2. 2. according to the method for claim 1, it is characterised in that the job hunting information included according to the job seeker resume and The information that the recruitment item limits, obtain industry matching degree, Post Match Degree and the skill of the job seeker resume and the recruitment item The step of energy matching degree, including：
    The industry that each industry and the recruitment item included according to the job seeker resume limits, obtains the job seeker resume and includes Each industry and it is described recruitment item limit industry the first matching degree；
    Corresponding to each industry included according to each industry practicing time and the job seeker resume that the job seeker resume includes First matching degree, obtain the first empirical value corresponding to each industry that the job seeker resume includes；
    According to each first matching degree and each first empirical value, industry matching degree is obtained；
    The post that each post and the recruitment item included according to the job seeker resume limits, obtains the job seeker resume and includes Each post and it is described recruitment item limit post the second matching degree；
    Corresponding to each post included according to each post practicing time and the job seeker resume that the job seeker resume includes Second matching degree, obtain the second empirical value corresponding to each post that the job seeker resume includes；
    According to each second matching degree and each second empirical value, Post Match Degree is obtained；
    Obtain every one first technical ability of the skills match limited in the technical ability that the job seeker resume includes with the recruitment item；
    The skill master time of every one first technical ability included according to the job seeker resume, and the power of every one first technical ability Weight, obtain skills match degree.
  3. 3. according to the method for claim 2, it is characterised in that
    The industry that each industry included according to the job seeker resume and the recruitment item limit, obtains the job seeker resume Comprising each industry and it is described recruitment item limit industry the first matching degree the step of, including：
    Obtain default industry list, the industry list includes multiple industries, and according to the category of employment scope from Arrive small order hierarchical classification greatly, represented by every one-level industry code per one-level category of employment, the industry code of the industry by It is described to be formed per one-level industry code；
    The industry included according to the job seeker resume, it is corresponding that the industry that the job seeker resume includes is obtained from the industry list The first industry code；
    The industry limited according to the recruitment item, obtained from the industry list the corresponding to the industry that the recruitment item limits Two industry codes；
    Compare every grade of industry code that first industry code includes and every grade of industry generation that the secondary industry code includes Code；
    When every grade of industry code that every grade of industry code and the secondary industry code that first industry code includes include All same, the first matching degree of the industry that the job seeker resume includes and the industry that the recruitment item limits is obtained as 1；
    When the first order industry that first order industry code and the secondary industry code that first industry code includes include Code is different, obtains the first matching degree of the industry that the job seeker resume includes and the industry that the recruitment item limits as A1；
    When the preceding m levels industry generation that preceding m levels industry code and the secondary industry code that first industry code includes include Code all same, and the m that the m+1 levels industry code that includes of first industry code and the secondary industry code include + 1 grade of industry code differs, then obtains industry and the institute that the job seeker resume includes according to the industry matched rule of m+1 levels The first matching degree of the industry that recruitment item limits is stated, wherein, the industry matched rule of m+1 levels is P1=A1+A2+…+Am+Am+1 ×(1-|Rm+1-Dm+1|/Cm+1), wherein, P1 represents the first matching degree, AmRepresent the industry coefficient of m levels, Cm+1Represent m+1 The quantity of the classification of level trade classification, Rm+1Represent the m+1 level industry codes that first industry code includes, Dm+1Represent institute State the m+1 level industry codes that secondary industry code includes；
    Each industry pair that each industry practicing time included according to the job seeker resume and the job seeker resume include The first matching degree answered, the step of obtaining the first empirical value corresponding to each industry that the job seeker resume includes, including：
    Corresponding to the industry included according to each industry practicing time and the job seeker resume that the job seeker resume includes First matching degree, first empirical value is obtained according to the first empirical rule, wherein, first empirical rule isE1 represents first empirical value, and y1 represents every a line that the job seeker resume includes Industry practicing time.
  4. 4. according to the method for claim 3, it is characterised in that described according to each first matching degree and each described First empirical value, obtain industry matching degree the step of, including：
    First matching degree of the industry that each industry and the recruitment item included according to the job seeker resume limits, the job hunting First empirical value corresponding to each industry that resume includes, according to each industry matching described in the sub- matching degree Rule of industry Degree, wherein, the sub- matching degree rule of industry is IMDi=P1i×E1i, IMDiRepresent the sub- matching degree of each industry, i= 1,2,3 ... ..., N, N represent the quantity for each industry that the job seeker resume includes；
    According to each sub- matching degree of industry, industry matching degree is obtained according to industry matching degree preset rules, wherein, the row Industry matching degree preset rules are IMD=1- (1-IMD1)×(1-IMD2)×…×(1-IMDN), IMD represents industry matching degree.
  5. 5. according to the method for claim 2, it is characterised in that
    Obtain default post list, the post list includes multiple posies, and according to the post classification from greatly to Small order hierarchical classification, show that the post code in the post is by described by every one-level status code table per one-level post classification Per one-level post code composition；
    The post included according to the job seeker resume, it is corresponding that the post that the job seeker resume includes is obtained from the post list The first post code；
    The post limited according to the recruitment item, obtained from the post list the corresponding to the post that the recruitment item limits Two post codes；
    Compare every grade of post code that first post code includes and every grade of post generation that second post code includes Code；
    Every grade of post code that the every grade of post code and second post code that code includes when first post include All same, the second matching degree of the post that the job seeker resume includes and the post that the recruitment item limits is obtained as 1；
    The first order post that the first order post code and second post code that code includes when first post include Code is different, obtains the second matching degree of the post that the job seeker resume includes and the post that the recruitment item limits as F1；
    The preceding n levels post generation that the preceding n levels post code and second post code that code includes when first post include Code all same, and (n+1)th grade of post code including of first post code and second post code include n-th + 1 grade of post code differs, then the post included according to job seeker resume described in (n+1)th grade of Postmatch Rule and institute Second matching degree in the post that recruitment item limits is stated, wherein, (n+1)th grade of Postmatch rule is P2=F1+F2+……+Fn+ Fn+1×(1-|rn+1-dn+1|/Gn+1), wherein, P2 represents the second matching degree, FnRepresent n-th grade of post coefficient, Gn+1Represent n-th The quantity of the classification of+1 grade of post classification, rn+1Represent (n+1)th grade of post code that first post code includes, dn+1Represent (n+1)th grade of post code that second post code includes；
    Each post pair that each post practicing time included according to the job seeker resume and the job seeker resume include The second matching degree answered, the step of obtaining the second empirical value corresponding to each post that the job seeker resume includes, including：
    Corresponding to the post included according to each post practicing time and the job seeker resume that the job seeker resume includes Second matching degree, second empirical value is obtained according to the second empirical rule, wherein, second empirical rule isE2 represents second empirical value, and it is each that y2 represents that the job seeker resume includes Post practicing time.
  6. 6. according to the method for claim 5, it is characterised in that described according to each second matching degree and each described Second empirical value, obtain Post Match Degree the step of, including：
    Second matching degree in the post that each post and the recruitment item included according to the job seeker resume limits, the job hunting Second empirical value corresponding to each post that resume includes, according to each post matching described in the sub- matching degree Rule in post Degree, wherein, the sub- matching degree rule in post is PMDj=P2j×E2j, PMDjRepresent the sub- matching degree in each post, j= 1,2,3 ... ..., M, M represent the quantity in each post that the job seeker resume includes；
    According to each sub- matching degree in post, according to Post Match Degree Rule Post Match Degree, wherein, the post It is then PMD=1- (1-PMD with metric1)×(1-PMD2)×…×(1-PMDM), PMD represents Post Match Degree.
  7. 7. according to the method for claim 2, it is characterised in that every one first skill included according to the job seeker resume The skill master time of energy, and the weight of every one first technical ability, the step of skills match is spent is obtained, including：
    The skill master time of every one first technical ability included according to the job seeker resume, according to the 3rd empirical rule The empirical value for every one first technical ability that the job seeker resume includes is obtained, wherein, the 3rd empirical rule isT represents the quantity of first technical ability, SLkRepresent described each The empirical value of first technical ability, y3 represent the skill master time of first technical ability；
    According to the empirical value of every one first technical ability and the weight of every one first technical ability, according to technical ability Skills match degree described in matching degree Rule, wherein, the skills match metric is thenSMD represents the skills match degree, WkRepresent the weight of every one first technical ability.
  8. 8. according to the method for claim 1, it is characterised in that：The disaggregated models of logistic bis- areWherein, K0、K1、K2And K3Model parameter is represented, IMD represents industry Matching degree, PMD represent Post Match Degree, and SMD represents skills match degree, and M represents matching degree.
  9. 9. according to the method for claim 1, it is characterised in that according to the matching degree, determine the job seeker resume and institute The step of whether recruitment item matches is stated, including：
    The matching degree is contrasted with the section that matches；
    If the matching degree is less than the lower threshold in the matching section, it is determined that the job seeker resume with the recruitment item not Match somebody with somebody；
    If the matching degree is more than the upper limit threshold in the matching section, it is determined that the job seeker resume and the recruitment item Match somebody with somebody；
    If the job seeker resume is passed through artificial mode and the recruitment item by the matching degree in the matching section Matched.
  10. A kind of 10. manpower object data matching system, it is characterised in that including：
    First acquisition module, for obtaining a job seeker resume corresponding to recruitment item；
    Extraction module, for extracting job hunting information and the information recruited item and limited that the job seeker resume includes, wherein, institute Job hunting information is stated to comprise at least：Industry, industry practicing time, post, post practicing time, technical ability and skill master time, institute The information that recruitment item limits is stated to comprise at least：Industry, post and technical ability；
    Second acquisition module, the information limited for the job hunting information included according to the job seeker resume and the recruitment item, is obtained Take industry matching degree, Post Match Degree and the skills match degree of the job seeker resume and the recruitment item；
    3rd acquisition module, for industry matching degree, Post Match Degree and the skill according to the job seeker resume and the recruitment item Energy matching degree, by the disaggregated models of logistic bis-, obtain the job seeker resume and the matching degree for recruiting item；
    Determining module, for according to the matching degree, determining whether the job seeker resume matches with the recruitment item.
CN201710404689.8A 2017-06-01 2017-06-01 Human object data matching method and system Active CN107391547B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710404689.8A CN107391547B (en) 2017-06-01 2017-06-01 Human object data matching method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710404689.8A CN107391547B (en) 2017-06-01 2017-06-01 Human object data matching method and system

Publications (2)

Publication Number Publication Date
CN107391547A true CN107391547A (en) 2017-11-24
CN107391547B CN107391547B (en) 2020-03-20

Family

ID=60333021

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710404689.8A Active CN107391547B (en) 2017-06-01 2017-06-01 Human object data matching method and system

Country Status (1)

Country Link
CN (1) CN107391547B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108520334A (en) * 2018-03-15 2018-09-11 考拉征信服务有限公司 A kind of occupation reference method and apparatus
CN108536682A (en) * 2018-04-17 2018-09-14 南京创客汇网络信息技术有限公司 A kind of identification categorizing system applied to service trade trade matching
CN108733827A (en) * 2018-05-24 2018-11-02 佛山市轻遣网络有限公司 A kind of recruitment information acquisition methods outside recruitment website and system
CN109582704A (en) * 2018-10-17 2019-04-05 龙马智芯（珠海横琴）科技有限公司 Recruitment information and the matched method of job seeker resume
CN110059923A (en) * 2019-03-13 2019-07-26 平安科技（深圳）有限公司 Matching process, device, equipment and the storage medium of post portrait and biographic information
CN110263818A (en) * 2019-05-24 2019-09-20 平安科技（深圳）有限公司 Method, apparatus, terminal and the computer readable storage medium of resume selection
CN110298598A (en) * 2019-07-03 2019-10-01 广东倍智测聘网络科技股份有限公司 A kind of matching process, personnel and post matching device and the electronic equipment of personnel and post
WO2019242152A1 (en) * 2018-06-21 2019-12-26 平安科技（深圳）有限公司 Rate determining method, electronic device, and non-volatile readable storage medium
CN110689325A (en) * 2019-09-30 2020-01-14 深圳春沐源控股有限公司 Information processing method, device and computer readable storage medium
CN111160850A (en) * 2019-12-11 2020-05-15 浙江微元智能科技股份有限公司 Matching system and matching method suitable for person discrimination
CN111291259A (en) * 2020-01-20 2020-06-16 北京字节跳动网络技术有限公司 Data screening method and device, electronic equipment and storage medium

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020116203A1 (en) * 2001-02-20 2002-08-22 Cherry Darrel D. System and method for managing job resumes
US20120330708A1 (en) * 2010-12-14 2012-12-27 Khan Mahmood A Perfect match for job description to job seeker resumes and job seeker resume to jobs.
CN104063505A (en) * 2014-07-09 2014-09-24 深圳市亚典科技有限公司 Job application method and system for network recruitment
CN104599031A (en) * 2014-11-06 2015-05-06 河南智业科技发展有限公司 Resume model matching system and method
CN105069606A (en) * 2015-07-30 2015-11-18 深圳市软维科技有限公司 Method and apparatus for obtaining competence of job seeker for applied position
CN105117863A (en) * 2015-09-28 2015-12-02 北京橙鑫数据科技有限公司 Resume position matching method and device
CN105139108A (en) * 2015-08-06 2015-12-09 天津人众和软件开发有限公司 Talents ability assessment and post matching method and system
CN106095931A (en) * 2016-06-12 2016-11-09 杭州简才网络信息科技有限公司 A kind of matching process between job hunter and advertising unit
CN106384230A (en) * 2016-10-21 2017-02-08 北京搜前途科技有限公司 Method of matching work experience in resume with recruitment job and method of matching resume with recruitment information
CN106408262A (en) * 2016-09-27 2017-02-15 吉林码帝科技有限公司 Recruitment and application matching method
CN106408249A (en) * 2016-08-31 2017-02-15 五八同城信息技术有限公司 Resume and position matching method and device
CN106447285A (en) * 2016-09-12 2017-02-22 北京大学 Multidimensional field key knowledge-based recruitment information matching method

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020116203A1 (en) * 2001-02-20 2002-08-22 Cherry Darrel D. System and method for managing job resumes
US20120330708A1 (en) * 2010-12-14 2012-12-27 Khan Mahmood A Perfect match for job description to job seeker resumes and job seeker resume to jobs.
CN104063505A (en) * 2014-07-09 2014-09-24 深圳市亚典科技有限公司 Job application method and system for network recruitment
CN104599031A (en) * 2014-11-06 2015-05-06 河南智业科技发展有限公司 Resume model matching system and method
CN105069606A (en) * 2015-07-30 2015-11-18 深圳市软维科技有限公司 Method and apparatus for obtaining competence of job seeker for applied position
CN105139108A (en) * 2015-08-06 2015-12-09 天津人众和软件开发有限公司 Talents ability assessment and post matching method and system
CN105117863A (en) * 2015-09-28 2015-12-02 北京橙鑫数据科技有限公司 Resume position matching method and device
CN106095931A (en) * 2016-06-12 2016-11-09 杭州简才网络信息科技有限公司 A kind of matching process between job hunter and advertising unit
CN106408249A (en) * 2016-08-31 2017-02-15 五八同城信息技术有限公司 Resume and position matching method and device
CN106447285A (en) * 2016-09-12 2017-02-22 北京大学 Multidimensional field key knowledge-based recruitment information matching method
CN106408262A (en) * 2016-09-27 2017-02-15 吉林码帝科技有限公司 Recruitment and application matching method
CN106384230A (en) * 2016-10-21 2017-02-08 北京搜前途科技有限公司 Method of matching work experience in resume with recruitment job and method of matching resume with recruitment information

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108520334A (en) * 2018-03-15 2018-09-11 考拉征信服务有限公司 A kind of occupation reference method and apparatus
CN108536682B (en) * 2018-04-17 2021-09-17 南京创客汇网络信息技术有限公司 Recognition and classification system applied to matching transaction in service industry
CN108536682A (en) * 2018-04-17 2018-09-14 南京创客汇网络信息技术有限公司 A kind of identification categorizing system applied to service trade trade matching
CN108733827A (en) * 2018-05-24 2018-11-02 佛山市轻遣网络有限公司 A kind of recruitment information acquisition methods outside recruitment website and system
WO2019242152A1 (en) * 2018-06-21 2019-12-26 平安科技（深圳）有限公司 Rate determining method, electronic device, and non-volatile readable storage medium
CN109582704A (en) * 2018-10-17 2019-04-05 龙马智芯（珠海横琴）科技有限公司 Recruitment information and the matched method of job seeker resume
CN109582704B (en) * 2018-10-17 2019-10-25 龙马智芯（珠海横琴）科技有限公司 Recruitment information and the matched method of job seeker resume
CN110059923A (en) * 2019-03-13 2019-07-26 平安科技（深圳）有限公司 Matching process, device, equipment and the storage medium of post portrait and biographic information
CN110263818A (en) * 2019-05-24 2019-09-20 平安科技（深圳）有限公司 Method, apparatus, terminal and the computer readable storage medium of resume selection
CN110298598A (en) * 2019-07-03 2019-10-01 广东倍智测聘网络科技股份有限公司 A kind of matching process, personnel and post matching device and the electronic equipment of personnel and post
CN110689325A (en) * 2019-09-30 2020-01-14 深圳春沐源控股有限公司 Information processing method, device and computer readable storage medium
CN111160850A (en) * 2019-12-11 2020-05-15 浙江微元智能科技股份有限公司 Matching system and matching method suitable for person discrimination
CN111291259A (en) * 2020-01-20 2020-06-16 北京字节跳动网络技术有限公司 Data screening method and device, electronic equipment and storage medium
CN111291259B (en) * 2020-01-20 2023-05-26 北京字节跳动网络技术有限公司 Data screening method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN107391547B (en) 2020-03-20

Similar Documents

Publication Publication Date Title
CN107391547A (en) A kind of manpower object data matching process and system
Adelman A New College Course Map and Transcript Files: Changes in Course-taking and Achievement, 1972-1993; Based on the Postsecondary Records from Two National Longitudinal Studies
Poate et al. Data for agrarian development
Johnson Forest sampling desk reference
US8639547B1 (en) Method for statistical comparison of occupations by skill sets and other relevant attributes
CN111325529A (en) Talent evaluation-based personnel and post matching method and system
CN105574788A (en) Competency label-based training providing method
CN108256102A (en) A kind of Independent College Studentss based on cluster comment religion data analysing method
Pandey et al. Examining the Role of Enterprise Resource Planning (ERP) in Improving Business Operations in Companies
Khan et al. Service quality evaluation of technical institutions using data envelopment analysis
CN111339285A (en) BP neural network-based enterprise resume screening method and system
Igbape et al. Performance evaluation model for quality assurance in Nigeria higher education
CN109544337A (en) A kind of equity estimation method
Soehari et al. Model for strengthening employee performance
Mojtahedi et al. Risk identification and analysis concurrently: Group Decision Making afpproach
Tobing et al. The Prototype of Decision Support System For Selecting The Lands of Crops
Nedelkoska et al. Eight decades of changes in occupational tasks, computerization and the gender pay gap
CN112699933A (en) Automatic identification method and system for processing capacity of user teaching material
CN111275351A (en) Evaluation expert assignment system and method based on social relationship correlation calculation
Levy et al. Characterizing the future defense workforce
Packmohr et al. Considering company size, level of responsibility, and employee age for analysing countermeasures against barriers to digital transformation
CN116882953A (en) Method and system for comprehensively representing label evaluation expert based on entropy weight method and fuzzy mathematics
Wilson Job Analysis for Human Resource Management: A Review of Selected Research and Development...
Majumdar et al. Performance Evaluation of Indian Education Sector using Interpretive Structural Modelling
CN115357636A (en) Service system and method for intelligent overall training

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 430000 Hubei city of Wuhan Province, East Lake New Technology Development Zone, Road No. 465 Chinese Optics Valley creative industry base building B 502-504

Applicant after: Wuhan Wickert Technology Co., Ltd

Address before: 430000 room 502-504, building B, China Optical Valley creative industry base, No. 465, Guanshan Avenue, Donghu New Technology Development Zone, Wuhan City, Hubei Province

Applicant before: Wuhan wit Management Consulting Co., Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant