CN109582704A - Recruitment information and the matched method of job seeker resume - Google Patents
Recruitment information and the matched method of job seeker resume Download PDFInfo
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Abstract
The present invention discloses a kind of recruitment information and the matched method of job seeker resume, by the similarity for extracting critical skills word and post title to be matched in job seeker resume or recruitment information, the similarity of each critical skills word is added up again, obtains the similarity of job seeker resume or recruitment information with post title to be matched；Calculating based on similarity when matching job seeker resume by recruitment information, the comprehensive matching degree of matched recruitment information and each job seeker resume with post title to be matched is intended to by calculating, finds job seeker resume；When matching recruitment information by job seeker resume, it is intended to the comprehensive matching degree of matched job seeker resume and each recruitment information with post title to be matched by calculating, finds recruitment information.Comprehensive matching degree embodies the similarity of recruitment information with post title to be matched in the present invention, and embodies the similarity of job seeker resume with post title to be matched, and is a comprehensive value, can be improved matched accuracy.
Description
Technical field
The present invention relates to electronic information and technical field of data processing, and in particular to a kind of recruitment information and job seeker resume
The method matched.
Background technique
With the fast development of electronic information and network technology, employing unit's recruitment information and personal job hunting information are all
Electronization, and mainly carried out by way of the two-way choice on network.Currently, job hunter and employing unit are two-way
When selection, the corresponding keyword in some post of removal search usually on various professional platforms.Pass through one or several keys
Word is matched to relevant employing unit and the talent, and then point one by one is entered, and is believed by browsing post information or the talent
Whether breath, artificial judgment meet demand.
Since the method for Keywords matching has only focused on the information of part, the same post is had ignored in different employment lists
The differentiation of the function of position, the result also do not assessed effectively talent ability, therefore searched is in many cases simultaneously
Actual positions demand is not met.When finding a collection of more matched information, into before next recruitment or job hunting link, also need
A step artificial screening is done again, usually also need to expend employing unit and a large amount of time and efforts of job hunter.
Summary of the invention
The object of the present invention is to provide a kind of recruitment informations and the matched method of job seeker resume, it is intended to improve recruitment information and
The accuracy that job seeker resume matches each other.The first object of the present invention is realized by the following technical scheme:
A kind of recruitment information and the matched method of job seeker resume, including matched by recruitment information job seeker resume method or
The method that person matches recruitment information by job seeker resume, which is characterized in that
The method for matching job seeker resume by recruitment information includes step (1) to (5):
(1) at least a job seeker resume is received and stored, at least a recruitment information is received and stored；
(2) it chooses a recruitment information as being intended to matched recruitment information, is intended to matched recruitment information by described and is obtained
Take a post title to be matched；
(3) word in each part job seeker resume and the similarity sim of the post title to be matched are calculated, will described in
Similarity sim sorts from large to small to obtain simi, N1 sim before choosingiLetter of the corresponding word as each part job seeker resume
Critical skills word is gone through, wherein i=1,2 ... N1；Calculate the word being intended in matched recruitment information and the hilllock to be matched
The similarity SIM of position title, sorts from large to small the similarity SIM to obtain SIMj, N2 SIM before choosingjCorresponding word
As the recruitment critical skills word for being intended to matched recruitment information, wherein j=1,2 ... N2；
(4) the N1 resume critical skills word of each part job seeker resume and the phase of the post title to be matched
Like degree simiIt sums, obtains the matching degree P of each part job seeker resume with the post title to be matchedcv；To the desire
The similarity SIM of N2 recruitment the critical skills word and the post title to be matched of matched recruitment informationjIt is asked
With obtain the matching degree P for being intended to matched recruitment information with the post title to be matchedr；
(5) by the matching degree PcvWith the matching degree PrBe added, obtain each part job seeker resume respectively with the desire
The comprehensive matching degree P1 of matched recruitment information；
The method for matching recruitment information by job seeker resume includes step (A) to (E):
(A) at least a job seeker resume is received and stored, at least a recruitment information is received and stored；
(B) it chooses a job seeker resume as being intended to matched job seeker resume, is intended to matched job seeker resume by described and is obtained
Take a post title to be matched；
(C) word in each part recruitment information and the similarity SIM of the post title to be matched, the phase are calculated
It sorts from large to small to obtain SIM like degree SIMj, N2 SIM before choosingjRecruitment of the corresponding word as each part recruitment information
Critical skills word, wherein j=1,2 ... N2；Calculate the word being intended in matched job seeker resume and the post to be matched
The similarity sim of title sorts from large to small the similarity sim to obtain simi, N1 sim before choosingiCorresponding word is made
For the resume critical skills word for being intended to matched job seeker resume, wherein i=1,2 ... N1；
(D) the phase of N2 recruitment the critical skills word and the post title to be matched of each part recruitment information
Like degree SIMjIt sums, obtains the matching degree P of each part recruitment information with the post title to be matchedr；To the desire
The N1 resume critical skills word for the job seeker resume matched and the similarity sim of the post title to be matchediIt sums,
Obtain the matching degree P for being intended to matched job seeker resume with the post title to be matchedcv；
(E) by the matching degree PrWith the matching degree PcvBe added, obtain each part recruitment information respectively with the desire
The comprehensive matching degree P2 of matched job seeker resume.
As a specific technical scheme, the method that job seeker resume is matched by recruitment information, when the job seeker resume
When quantity is at least 2 parts, according to each part job seeker resume and the comprehensive matching degree P1 value for being intended to matched recruitment information
Size sequence, obtains and the seniority among brothers and sisters for being intended to the matched job seeker resume of matched recruitment information；It is described to pass through job seeker resume
The method for matching recruitment information, when the recruitment information quantity is at least 2 parts, according to each part recruitment information and the desire
The size of the comprehensive matching degree P2 value of matched job seeker resume obtains being intended to the matched recruitment of matched job seeker resume with described
The seniority among brothers and sisters of information.
As a specific technical scheme, similar with the post title to be matched to the N1 resume critical skills word
Spend simiIt is the similarity sim to the N1 resume critical skills word and the post title to be matched when being summediAdd
It sums after power, calculates the matching degree PcvFormula are as follows:
As a specific technical scheme, similar with the post title to be matched to the N1 resume critical skills word
Spend simiAfter being summed after weighting, also it is modified by a resume confidence level R, calculates the matching degree PcvFormula
Are as follows:
As a specific technical scheme, the calculation formula of the resume confidence level R are as follows:
Wherein, M is that the N1 resume critical skills word is believed in the experience of the job seeker resume
Associated incidence number, M≤N1 are formed in breath.
As a specific technical scheme, the matching degree P is calculatedrFormula are as follows:
As a specific technical scheme, in the step (3), the calculating of the similarity sim and the similarity SIM's
Calculate, be that the word and the post title to be matched are expressed as term vector, then calculate the word of the word to
It measures and the cosine value of the term vector of the post title to be matched.
As a specific technical scheme, the word in the job seeker resume be extracted in the job seeker resume be related to skill
The technical ability word of energy information；The word being intended in matched recruitment information be it is described be intended to extract in matched recruitment information relate to
And the technical ability word of performance information；Word in the recruitment information be extracted in the recruitment information be related to performance information
Technical ability word；The word being intended in matched job seeker resume is believed in the technical ability that is related to for being intended to extract in matched job seeker resume
The technical ability word of breath.
As a specific technical scheme, the extraction step of the technical ability word includes that word segmentation processing and stop words are handled.
The present invention also provides a kind of computer, including memory and processor, processor is supported in the memory storage
The program of the method above by recruitment information matching job seeker resume is executed, the processor is configured to for executing described deposit
The described program stored in reservoir.
The beneficial effects of the present invention are: by extracting the critical skills information of job seeker resume or recruitment information, and calculate
The similarity of word and post title to be matched in critical skills information, then the similarity of each word is added up, it is asked
The similarity of duty resume or recruitment information and post title to be matched；Calculating based on similarity is asked by recruitment information matching
When duty resume, it is intended to the comprehensive matching degree of matched recruitment information and each job seeker resume with post title to be matched by calculating, looks for
To job seeker resume；When matching recruitment information by job seeker resume, by calculate be intended to matched job seeker resume and each recruitment information with
The comprehensive matching degree of post title to be matched, finds recruitment information.In addition, the job seeker resume or recruitment information that find are multiple
When, the seniority among brothers and sisters of a matching degree can be provided.Comprehensive matching degree embodies recruitment information and post name to be matched in the present invention
The similarity of title, and embody the similarity of job seeker resume with post title to be matched, is a comprehensive value, be can be improved
The accuracy matched.Furthermore the present invention introduces the concept of confidence level being absorbed in while critical skills information extraction, hunting for a job
During resume is matched, when calculating of matching degree, is corrected similarity using resume confidence level, further improves
Matched accuracy.
Specific embodiment
The matched method of recruitment information and job seeker resume provided by the invention, including job seeker resume is matched by recruitment information
Method or by job seeker resume match recruitment information method, illustrate respectively below by different embodiments:
Embodiment one
Embodiment one provides a kind of method for matching job seeker resume by recruitment information, including step (1) to (5), specifically
It is described as follows:
(1) at least a job seeker resume is received and stored, at least a recruitment information is received and stored.
What the job hunting and recruitment of electronic information were often realized on a platform, platform has generally received and stored greatly
The recruitment information and job seeker resume of amount, specific as follows:
Enterprise hangs up the recruitment information of some position on the net, then the company information that can be collected into has [1: enterprise's name
Claim, 2: the affiliated industry of enterprise, 3: the type of business, 4: scope of the enterprise, 5: post property] etc.；The job information that can be collected into has
[1: position title, 2: job duty, 3: job requirements, 4: educational requirement, 5: salary range, 6: profession requires] etc.；
Job hunter improves respective job seeker resume on the net, then the personal information that can be collected into have basic information [1:
Name, 2: gender, 3: the age, 4: previous graduate college, 5: native place, 6: whether there is a record of bad behavior, 7: the working time, 8: personnel types,
9: post title, 10: the affiliated industry in post, 11: personality information] etc.；Ability information [1: degree educational background, 2: the professional skill of grasp
Can, 3: English proficiency, 4: the information such as working experience, project experiences information, scientific research experience] etc..
(2) a recruitment information is chosen as matched recruitment information is intended to, and obtains a desire by being intended to matched recruitment information
With post title.
Wherein, post title to be matched can be from be intended to extract in matched recruitment information, be also possible to according to being intended to
The recruitment information matched finds a preset immediate post title to be matched.
(3) word in each part job seeker resume and the similarity sim of the post title to be matched are calculated, will described in
Similarity sim sorts from large to small to obtain simi, N1 sim before choosingiLetter of the corresponding word as each part job seeker resume
Critical skills word is gone through, wherein i=1,2 ... N1；Calculate the word being intended in matched recruitment information and the hilllock to be matched
The similarity SIM of position title, sorts from large to small the similarity SIM to obtain SIMj, N2 SIM before choosingjCorresponding word
As the recruitment critical skills word for being intended to matched recruitment information, wherein j=1,2 ... N2.
Wherein, in order to be quickly found resume critical skills word relevant to post title to be matched, present techniques side
Case carries out the extraction of performance information to job seeker resume or recruitment information first, specific as follows:
By, by the 7 of personal basic information, 9,10,1,2,3,4 of ability information is merged into " technical ability a letter in resume
Go through text "；1,2,3 in the recruitment information of enterprise is also merged into one " technical ability recruitment text "；Technical ability letter can then be passed through
The critical skills information in the critical skills information in text and technical ability recruitment text is gone through, the word in each part job seeker resume is calculated
With the similarity sim of post title to be matched, and the word that is intended in matched recruitment information and post title to be matched are calculated
Similarity SIM.
The extracting mode of critical skills information is as follows:
Text is segmented, stop words is gone to handle, here mainly by text dividing at the form of word sequence, and is removed
The non-chinese characters such as meaningless word and punctuation mark such as ' ', ' '；
" participle " is a text-processing technology of natural language processing field, it is therefore an objective to cut continuous Chinese character string
It is divided into word sequence, such as: to sentence, " Xiao Ming reads in Peking University." carry out word segmentation processing after word sequence can be obtained:
[" Xiao Ming ", " ", " Peking University ", " reading ", "."]
Final text sequence is obtained after the processing of past stop words are as follows:
[" Xiao Ming ", " ", " Peking University ", " reading "]
Participle tool can be selected in actual use according to the actual situation, " stammerer participle " tool is generally used and combines and make by oneself
Adopted dictionary for word segmentation goes to realize the cutting of Chinese-character text, and deactivating vocabulary is generic word list.Here we assume that after word segmentation processing
Obtained each word is technical ability word.
The extraction of above-mentioned technical ability resume text, technical ability recruitment text and technical ability word, is to find and post to be matched
The more relevant word of title with the calculating of the similarity of post title to be matched and finds out resume critical skills word convenient for subsequent
And recruitment critical skills word, and a steps necessary of non-present invention, other modes can be used completely and determine and be intended to match
The word of post title calculating similarity.
In addition, the calculating of similarity sim and the calculating of similarity SIM, are by the word and the post name to be matched
Title is expressed as term vector, then calculates the term vector of the word and the cosine of the term vector of the post title to be matched
Value.Specific technology formula difference is as follows:
Sim=cosine (V_n, v_t)；Wherein, V_n is the corresponding term vector of post title to be matched, and v_t is job hunting letter
The corresponding term vector of word (or word in technical ability resume text) gone through.
SIM=cosine (V_n, V_t)；Wherein, V_n is the corresponding term vector of post title to be matched, and V_t is the trick
Engage the corresponding term vector of word (or word in technical ability recruitment text) in information.
Computing Principle are as follows: term vector assumes that all words in space, are indicated according to respective characteristic distribution with term vector
Each word, then cosine similarity can indicate that the distance of two words in space, distance represent the size of similarity.Actual use
In, similarity is higher, and to represent the word more important relative to the post title to be matched.
(4) to the N1 resume critical skills word of each part job seeker resume and the similarity sim of post title to be matchedi
It sums, obtains the matching degree P of each part job seeker resume with post title to be matchedcv；Calculate the matching degree PcvFormula
Are as follows:
Wherein i=1,2 ... N1,For weighting coefficient.
Similarity SIM to N2 recruitment critical skills word and post title to be matched being intended to matched recruitment informationjInto
Row summation, obtains the matching degree P for being intended to matched recruitment information with post title to be matchedr；Calculate the matching degree PrFormula
Are as follows:
Wherein j=1,2 ... N2,For weighting coefficient.
It is considered that the information of job seeker resume and non-fully credible, the concept of the application one resume confidence level of introducing.Resume
Confidence level be defined as the supporting degree of content context evidence described in resume.Because of the information without verifying channel, in resume
Authenticity be not verifiable, therefore it is to mix part among real information to exaggerate or not firm letter that we, which default resume,
Breath, is specifically exactly working experience in back of the performance information that occurs in resume, project experiences, in the information such as scientific research experience
There should be embodiment.According to the default assumption of front, our default resume confidence level minimum values are 0.5, i.e., half information is true, one
Half information is false, it is assumed that resume key skill is then thought in N1 resume critical skills word, the appearance of resume critical skills word in the project
Can word and project formed and be associated with, it is assumed that the total incidence number M (M < N1) formed between resume critical skills word and project, then resume
The calculation formula of confidence level R are as follows:
Wherein, M is that the N1 resume critical skills word is believed in the experience of the job seeker resume
Associated incidence number, M≤N1 are formed in breath.
Based on the introducing of resume confidence level, phase of the present embodiment to the N1 keyword and the post title to be matched
Like degree simiAfter being summed after weighting, also it is modified by a resume confidence level R, calculates the matching degree PcvFormula
Are as follows:
(5) by matching degree PcvWith matching degree PrIt is added, each part job seeker resume is calculated to be matched with described respectively
Recruitment information comprehensive matching degree P1.
When actual match, according to the big of each part job seeker resume and the comprehensive matching degree P1 for being intended to matched recruitment information
It is small, it obtains ranking with the matched job seeker resume of matched recruitment information that is intended to.It can also be according to the affiliated industry of position, position institute
In city, the compensation range of position, matching degree seniority among brothers and sisters of the output under corresponding constraint condition under the conditions of personnel types etc. are preset.
Embodiment two
Embodiment two provides a kind of method for matching job seeker resume by recruitment information, includes the steps that described in embodiment one
(1) to (5), the difference with embodiment one is:
To the similarity sim of the N1 resume critical skills word and the post title to be matchediIt is asked after weighting
And when, calculate the matching degree PcvFormula are as follows:
In addition, to the similarity sim of the N1 resume critical skills word and the post title to be matchediIt weights laggard
After row summation, in such a way that resume confidence level R is modified, the matching degree P is calculatedcvFormula are as follows:
Embodiment three
Embodiment three provides a kind of method for matching recruitment information by job seeker resume, including step (A) to (E):
(A) at least a job seeker resume is received and stored, at least a recruitment information is received and stored；
(B) a job seeker resume is chosen as matched job seeker resume is intended to, and obtains a desire by being intended to matched job seeker resume
With post title；
(C) word in each part recruitment information and the similarity SIM of post title to be matched are calculated, similarity SIM is from big
SIM is obtained to small sequencej, N2 SIM before choosingjRecruitment critical skills word of the corresponding word as each part recruitment information, wherein
J=1,2 ... N2；The word that is intended in matched job seeker resume and the similarity sim of post title to be matched are calculated, by similarity
Sim sorts from large to small to obtain simi, N1 sim before choosingiCorresponding word is crucial as the resume for being intended to matched job seeker resume
Technical ability word, wherein i=1,2 ... N1；
(D) to the similarity SIM of N2 recruitment the critical skills word and post title to be matched of each part recruitment informationj
It sums, obtains the matching degree P of each part recruitment information with post title to be matchedr；To being intended to described in matched job seeker resume
The similarity sim of N1 resume critical skills word and post title to be matchediSum, obtain being intended to matched job seeker resume with
The matching degree P of the post title to be matchedcv；
(E) by the matching degree PrWith the matching degree PcvBe added, obtain each part recruitment information respectively with the desire
The comprehensive matching degree P2 of matched job seeker resume.
Wherein, to SIM, sim, SIM in embodiment threej、simi、Pr、PcvCalculation method and embodiment 1 in SIM,
sim、SIMj、simi、Pr、PcvCalculation method it is identical.
When actual match, according to each part recruitment information with the comprehensive matching degree P2's for being intended to matched recruitment information
Size obtains ranking with the matched recruitment information of matched job seeker resume that is intended to.It can also be according to the affiliated industry of position, position
Place city, the compensation range of position, matching degree row of the output under corresponding constraint condition under the conditions of personnel types etc. are preset
Row.
Example IV
The present invention also provides a kind of computer, including memory and processor, processor is supported in the memory storage
The program of the method above by recruitment information matching job seeker resume is executed, the processor is configured to for executing described deposit
The described program stored in reservoir.
Above embodiments be only it is sufficiently open is not intended to limit the present invention, it is all based on the inventive subject matter of the present invention, need not move through
The replacement for the equivalence techniques feature that creative work can wait until should be considered as the range of the application exposure.
Claims (10)
1. a kind of recruitment information and the matched method of job seeker resume, including matched by recruitment information job seeker resume method or
The method for matching recruitment information by job seeker resume, which is characterized in that
The method for matching job seeker resume by recruitment information includes step (1) to (5):
(1) at least a job seeker resume is received and stored, at least a recruitment information is received and stored；
(2) a recruitment information is chosen as matched recruitment information is intended to, and is intended to matched recruitment information acquisition one by described
Post title to be matched；
(3) word in each part job seeker resume and the similarity sim of the post title to be matched are calculated, it will be described similar
Degree sim sorts from large to small to obtain simi, N1 sim before choosingiCorresponding word is closed as the resume of each part job seeker resume
Key technical ability word, wherein i=1,2 ... N1；Calculate the word being intended in matched recruitment information and the post name to be matched
The similarity SIM of title sorts from large to small the similarity SIM to obtain SIMj, N2 SIM before choosingjCorresponding word conduct
The recruitment critical skills word for being intended to matched recruitment information, wherein j=1,2 ... N2；
(4) the N1 resume critical skills word of each part job seeker resume and the similarity of the post title to be matched
simiIt sums, obtains the matching degree P of each part job seeker resume with the post title to be matchedcv；It to be matched to described
Recruitment information it is described N2 recruitment critical skills word and the post title to be matched similarity SIMjIt sums, obtains
To the matching degree P for being intended to matched recruitment information with the post title to be matchedr；
(5) by the matching degree PcvWith the matching degree PrIt is added, obtains each part job seeker resume to be matched with described respectively
Recruitment information comprehensive matching degree P1；
The method for matching recruitment information by job seeker resume includes step (A) to (E):
(A) at least a job seeker resume is received and stored, at least a recruitment information is received and stored；
(B) a job seeker resume is chosen as matched job seeker resume is intended to, and is intended to matched job seeker resume acquisition one by described
Post title to be matched；
(C) word in each part recruitment information and the similarity SIM of the post title to be matched, the similarity are calculated
SIM sorts from large to small to obtain SIMj, N2 SIM before choosingjCorresponding word is crucial as the recruitment of each part recruitment information
Technical ability word, wherein j=1,2 ... N2；Calculate the word being intended in matched job seeker resume and the post title to be matched
Similarity sim, sort from large to small the similarity sim to obtain simi, N1 sim before choosingiCorresponding word is as institute
The resume critical skills word for being intended to matched job seeker resume is stated, wherein i=1,2 ... N1；
(D) the similarity of N2 recruitment the critical skills word and the post title to be matched of each part recruitment information
SIMjIt sums, obtains the matching degree P of each part recruitment information with the post title to be matchedr；To it is described be intended to it is matched
The N1 resume critical skills word of job seeker resume and the similarity sim of the post title to be matchediIt sums, obtains
The matching degree P for being intended to matched job seeker resume with the post title to be matchedcv；
(E) by the matching degree PrWith the matching degree PcvIt is added, obtains each part recruitment information to be matched with described respectively
Job seeker resume comprehensive matching degree P2.
2. recruitment information according to claim 1 and the matched method of job seeker resume, which is characterized in that described to pass through recruitment
The method of information matches job seeker resume, when the job seeker resume quantity is at least 2 parts, according to each part job seeker resume and institute
The size sequence for stating the comprehensive matching degree P1 value for being intended to matched recruitment information, obtains and described to be intended to matched recruitment information matched
The seniority among brothers and sisters of the job seeker resume；The method for matching recruitment information by job seeker resume, when the recruitment information quantity is extremely
When 2 parts few, according to the size of each part recruitment information and the comprehensive matching degree P2 value for being intended to matched job seeker resume, obtain
With the seniority among brothers and sisters for being intended to the matched recruitment information of matched job seeker resume.
3. recruitment information according to claim 1 or 2 and the matched method of job seeker resume, which is characterized in that the N1
The similarity sim of a resume critical skills word and the post title to be matchediIt when being summed, is closed to the N1 resume
The similarity sim of key technical ability word and the post title to be matchediIt sums after weighting, calculates the matching degree PcvFormula
Are as follows:
4. recruitment information according to claim 3 and the matched method of job seeker resume, which is characterized in that the N1 letter
Go through the similarity sim of critical skills word with the post title to be matchediIt, can also by a resume after being summed after weighting
Reliability R is modified, and calculates the matching degree PcvFormula are as follows:
5. recruitment information according to claim 4 and the matched method of job seeker resume, which is characterized in that the resume is credible
Spend the calculation formula of R are as follows:
Wherein, M is N1 resume critical skills word shape in the posterior infromation of the job seeker resume
At associated incidence number, M≤N1.
6. recruitment information according to claim 1 or 2 and the matched method of job seeker resume, which is characterized in that described in calculating
Matching degree PrFormula are as follows:
7. recruitment information described in -6 any one and the matched method of job seeker resume according to claim 1, which is characterized in that institute
It states in step (3), the calculating of the similarity sim and the calculating of the similarity SIM, is by the word and described to be matched
Post title is expressed as term vector, then calculates the term vector of the word and the term vector of the post title to be matched
Cosine value.
8. recruitment information according to claim 1 and the matched method of job seeker resume, which is characterized in that the job seeker resume
In word be the technical ability word for being related to performance information extracted in the job seeker resume；It is described to be intended in matched recruitment information
Word is in the technical ability word for being related to performance information for being intended to extract in matched recruitment information；Word in the recruitment information
It is the technical ability word for being related to performance information extracted in the recruitment information；The word being intended in matched job seeker resume be
The technical ability word for being related to performance information for being intended to extract in matched job seeker resume.
9. recruitment information according to claim 8 and the matched method of job seeker resume, which is characterized in that the technical ability word
Extraction step includes that word segmentation processing and stop words are handled.
10. a kind of computer, including memory and processor, which is characterized in that the memory storage supports processor to hold
The program of the method for job seeker resume is matched described in row claim 1 to 9 any one by recruitment information, the processor is matched
It is set to for executing the described program stored in the memory.
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| CN201811210868.9A CN109582704B (en) | 2018-10-17 | 2018-10-17 | Recruitment information and the matched method of job seeker resume |
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Cited By (11)
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| CN110263148A (en) * | 2019-06-27 | 2019-09-20 | 中国工商银行股份有限公司 | Intelligent resume selection method and device |
| 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 |
| CN110414917A (en) * | 2019-06-21 | 2019-11-05 | 东华大学 | Recruitment recommended method based on talent's portrait |
| CN110413934A (en) * | 2019-08-05 | 2019-11-05 | 西安电子科技大学 | Campus network recruitment information management method |
| CN110633960A (en) * | 2019-09-25 | 2019-12-31 | 重庆市重点产业人力资源服务有限公司 | Human resource intelligent matching and recommending method based on big data |
| CN110956354A (en) * | 2019-08-30 | 2020-04-03 | 深圳传世智慧科技有限公司 | Change management resource matching method, server and change management system |
| CN112559726A (en) * | 2020-12-22 | 2021-03-26 | 深圳市易博天下科技有限公司 | Resume information filtering method, model training method, device, equipment and medium |
| CN112632227A (en) * | 2020-12-30 | 2021-04-09 | 北京百度网讯科技有限公司 | Resume matching method, resume matching device, electronic equipment, storage medium and program product |
| CN113256169A (en) * | 2021-06-25 | 2021-08-13 | 深圳市爱挖网络科技有限公司 | Talent storage and management system for recruitment platform based on Internet |
| WO2021227892A1 (en) * | 2020-05-10 | 2021-11-18 | 张孟强 | Cyclic two-way bidding matching method and system based on requirements of job seeker and recruiter |
| CN114841677A (en) * | 2022-06-09 | 2022-08-02 | 北京联众鼎盛咨询有限公司 | Human resource management system |
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| 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 |
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| CN110413934A (en) * | 2019-08-05 | 2019-11-05 | 西安电子科技大学 | Campus network recruitment information management method |
| CN110956354A (en) * | 2019-08-30 | 2020-04-03 | 深圳传世智慧科技有限公司 | Change management resource matching method, server and change management system |
| CN110633960A (en) * | 2019-09-25 | 2019-12-31 | 重庆市重点产业人力资源服务有限公司 | Human resource intelligent matching and recommending method based on big data |
| WO2021227892A1 (en) * | 2020-05-10 | 2021-11-18 | 张孟强 | Cyclic two-way bidding matching method and system based on requirements of job seeker and recruiter |
| CN112559726A (en) * | 2020-12-22 | 2021-03-26 | 深圳市易博天下科技有限公司 | Resume information filtering method, model training method, device, equipment and medium |
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| CN112632227B (en) * | 2020-12-30 | 2023-06-23 | 北京百度网讯科技有限公司 | Resume matching method, device, electronic equipment, storage medium and program product |
| CN113256169A (en) * | 2021-06-25 | 2021-08-13 | 深圳市爱挖网络科技有限公司 | Talent storage and management system for recruitment platform based on Internet |
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| CN114841677A (en) * | 2022-06-09 | 2022-08-02 | 北京联众鼎盛咨询有限公司 | Human resource management system |
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