CN109784639A - Recruitment methods, device, equipment and medium on line based on intelligent scoring - Google Patents
Recruitment methods, device, equipment and medium on line based on intelligent scoring Download PDFInfo
- Publication number
- CN109784639A CN109784639A CN201811528660.1A CN201811528660A CN109784639A CN 109784639 A CN109784639 A CN 109784639A CN 201811528660 A CN201811528660 A CN 201811528660A CN 109784639 A CN109784639 A CN 109784639A
- Authority
- CN
- China
- Prior art keywords
- information
- preset
- client
- paper
- objective
- 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
Links
- 230000007115 recruitment Effects 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000012360 testing method Methods 0.000 claims abstract description 68
- 241000009298 Trigla lyra Species 0.000 claims abstract description 59
- 238000000605 extraction Methods 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 17
- 230000035484 reaction time Effects 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 5
- 235000013399 edible fruits Nutrition 0.000 claims description 2
- 238000013077 scoring method Methods 0.000 claims 1
- 238000012549 training Methods 0.000 abstract description 8
- 230000006870 function Effects 0.000 description 13
- 238000012795 verification Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 5
- 239000000284 extract Substances 0.000 description 4
- 238000012797 qualification Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses recruitment methods on a kind of line based on intelligent scoring, device, equipment and medium, the described method includes: the application request sent by receiving client, applicant's information in asking is engaged to verify according to job requirement is corresponding, if information checking passes through, then according to the identification information in applicant's information, the history answer record of user is inquired in preset Pipers database, if inquiring history answer is recorded as sky, then paper drawing is sent to client from preset Pipers database, and receive the test result of the user of client upload, test result is scored using Rating Model to obtain appraisal result, finally obtain all appraisal results corresponding with objective in preset time, it is admitted the best of the examinees in the appraisal result got.The present invention scores to the test result of user by using the Rating Model that preparatory training obtains, and can save human resources, improves engagement efficiency.
Description
Technical field
The present invention relates to recruitment methods in field of computer technology more particularly to a kind of line based on intelligent scoring, device,
Equipment and medium.
Background technique
With the high speed development of network technology, popularizing for internet brings many conveniences for people's lives, increasingly
By E-Recruit staff, people, which stay indoors, just will appreciate that various recruitment informations for more enterprises and institutions.
However, user is after selecting oneself to need the position applied for, enterprises and institutions also need the manual examination and verification user to be
No to meet job requirement, if user meets job requirement, enterprises and institutions reinform user and have an interview to designated place, and
It is scored manually according to answer of the user in interview, therefore, existing recruitment work program is cumbersome, needs to consume
A large amount of human resources, and often have conflict in the presence of personal arrangement of time and the interview arrangement of time of enterprises and institutions,
Perhaps user, which is inconvenient to strange land situations such as interviewing, will miss the talent or user so as to cause enterprises and institutions and will miss
The case where working opportunity, it is not high to highlight current recruitment mode level of intelligence, influences the engagement efficiency of enterprises and institutions.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide recruitment methods on a kind of line based on intelligent scoring, dress
It sets, equipment and medium, to solve the problems, such as that current enterprises and institutions' recruitment intelligent level is low.
Recruitment methods on a kind of line based on intelligent scoring, comprising:
Receive the application request that client is sent, wherein the application request includes the applicant's information and application of user
Position；
Job requirement corresponding with the objective is obtained from preset recruitment information library, verifies applicant's letter
Whether breath meets the job requirement, obtains information checking result；
If the information checking result passes through for information checking, believed according to the identity in applicant's information
Breath inquires history answer record corresponding with the identification information in preset Pipers database；
If inquiring the history answer in the preset Pipers database is recorded as sky, from the preset Pipers database
A paper corresponding with the objective of middle extraction, when by the extraction of the test sheet identification information of the paper and the paper
Between as the identification information corresponding answer record, storage is sent out into the preset Pipers database, and by the paper
Give the client；
The test result that the client uploads is received, and the test result is commented using preset Rating Model
Point, obtain appraisal result；
All appraisal results corresponding with the objective in preset time are obtained, and judge each appraisal result
Whether preset acceptance line is greater than；
The appraisal result that will be greater than the preset acceptance line, according to the appraisal result score from high to low
Sequence sorts, and obtains the corresponding user of appraisal result of sequence top N as application winner, wherein N is positive integer.
Device is recruited on a kind of line based on intelligent scoring, comprising:
Command reception module is applied for, for receiving the application request of client transmission, wherein the application request includes using
Applicant's information and objective at family；
Information checking module, for obtaining the corresponding job requirement of the objective from preset recruitment information library,
It verifies whether applicant's information meets the job requirement, obtains information checking result；
Answer record queries module, if passing through for the information checking result for information checking, according to the application
Identification information in person's information inquires the corresponding history answer note of the identification information in preset Pipers database
Record；
First paper obtains module, if being recorded as inquiring the history answer in the preset Pipers database
Sky then extracts a paper corresponding with the objective, by the paper mark of the paper from the preset Pipers database
The extraction time of information and the paper is known as the corresponding answer record of the identification information, and storage is arrived described preset
In Pipers database, and the paper is sent to the client；
Paper grading module, the test result uploaded for receiving the client, and use preset Rating Model pair
The test result scores, and obtains appraisal result；
Appraisal result judgment module, for obtaining the corresponding all appraisal results of the objective in preset time, and
Judge whether each appraisal result is greater than preset acceptance line；
Selected list determining module, for will be greater than the appraisal result of the preset acceptance line, according to institute's commentary
Divide the sequence sequence of the score of result from high to low, the corresponding user of appraisal result for obtaining sequence top N, which is used as, to apply for
Winner, wherein N is positive integer.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor are realized when executing the computer program on the above-mentioned line based on intelligent scoring
The step of recruitment methods.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
The step of calculation machine program realizes recruitment methods on the above-mentioned line based on intelligent scoring when being executed by processor.
Above-mentioned intelligence recruitment methods, device, equipment and medium are requested by receiving the application that client is sent, according to duty
Position, which requires to correspond to, engages applicant's information in asking to verify, and meets the preset employment condition of enterprises and institutions to obtain
Applicant；If information checking passes through, according to the identification information in applicant's information, inquires and use in preset Pipers database
The history answer at family records, further, if inquiring history answer is recorded as sky, the paper drawing from preset Pipers database
It is sent to client, prevents from repeating to participate in answer interview in applicant's short time, filters out the satisfactory talent and participate in answer
Interview；The test result of client upload user is finally received, and is scored using Rating Model test result and is commented
Divide as a result, the interior all appraisal results corresponding with objective of acquisition preset time, are selected in the appraisal result got
Excellent admission, so that entire recruitment is participated in without artificial, saves manpower money to determine recruitment person for enterprises and institutions
Source, and user can arrange the idle time to apply for, it is not necessary to it is limited by time and region, to improve the intelligence of recruitment
Energyization is horizontal.
Detailed description of the invention
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
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of recruitment methods on line in one embodiment of the invention based on intelligent scoring；
Fig. 2 is a flow chart of recruitment methods on line in one embodiment of the invention based on intelligent scoring；
Fig. 3 is to send out personal information questionnaire in recruitment methods on line in one embodiment of the invention based on intelligent scoring
Give a specific flow chart of client；
Fig. 4 is to obtain to recommend the one specific of position in recruitment methods on line in one embodiment of the invention based on intelligent scoring
Flow chart；
Fig. 5 is to judge whether applicant has in recruitment methods on line in one embodiment of the invention based on intelligent scoring to answer
Inscribe a specific flow chart of qualification；
Fig. 6 is that application result is sent to user in recruitment methods on line in one embodiment of the invention based on intelligent scoring
A specific flow chart；
Fig. 7 is the functional block diagram that device is recruited on line in one embodiment of the invention based on intelligent scoring；
Fig. 8 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Recruitment methods on line provided by the present application based on intelligent scoring can be applicable in the application environment such as Fig. 1, this is answered
It include server-side and client with environment, wherein be attached between server-side and client by network, user passes through client
It holds to server-side and sends application request, paper is sent to client according to application request by server-side, and receives client upload
Test result, scored using Rating Model trained in advance test result, to determine recruitment personnel.Client tool
Body, which can be, but not limited to, to be various personal computers, laptop, smart phone, tablet computer and portable wearable sets
Standby, server-side can specifically be realized with the server cluster that independent server or multiple servers form.The present invention is implemented
The method recruited on the line based on intelligent scoring that example provides is applied to server-side.
In one embodiment, Fig. 2 shows a flow charts of recruitment methods on the line in the present embodiment based on intelligent scoring, should
Method applies the server-side in Fig. 1, for receiving the test result of client upload, and uses Rating Model trained in advance
It scores test result, to determine recruitment personnel.As shown in Fig. 2, should be based on recruitment methods packet on the line of intelligent scoring
Step S1 is included to step S7, details are as follows:
S1: the application request that client is sent is received, wherein application request includes the applicant's information and application duty of user
Position.
In the present embodiment, enterprises and institutions are according to the business demand of itself in Web realease recruitment information, recruitment letter
Breath includes but is not limited to the job requirement of position vacant and position vacant, and recruitment information can specifically be issued in recruitment platform, example
Such as, intelligence connection is recruited the carefree equal recruitment platforms of perhaps future and can also be issued in the webpages such as the webpage of enterprises and institutions or forum
In, it can specifically be configured the recruitment content and recruitment platform of publication according to actual needs, herein with no restrictions.
Specifically, application request is user according to recruitment information, is carried out to server-side to one of position vacant application
The request instruction of application and submission, server-side receive the application that client is sent by network and request, and application request is including answering
The person's of engaging information and objective, applicant's information is some personal information of user, for example, address name, user's gender, user
The personal information such as identification card number and user's educational background, objective are that user selects the duty applied in position vacant
Position.
S2: obtaining job requirement corresponding with objective from preset recruitment information library, and verification applicant's information is
It is no to meet job requirement, obtain information checking result.
In the present embodiment, preset recruitment information library is the database that enterprises and institutions are used to store recruitment information, is recruited
Engaging information includes the job requirement of position vacant and position vacant, which is that enterprises and institutions are preparatory for position vacant
The employment condition of setting.
Specifically, server-side is according to the recruitment person's information and objective in recruitment request, from preset recruitment information library
The corresponding job requirement of middle acquisition objective, and verify whether applicant's information meets the corresponding job requirement of objective,
If applicant's information meets the corresponding job requirement of objective, obtained information checking result is that verification passes through, otherwise, if
Applicant's information does not meet the corresponding job requirement of objective, then the information checking result obtained is verification failure, indicates to use
It is the pre-set employment condition of objective that family, which does not meet enterprises and institutions,.
S3: if information checking result passes through for information checking, according to the identification information in applicant's information, pre-
If Pipers database in corresponding with the identification information history answer of inquiry record.
In the present embodiment, preset Pipers database is the database for storing paper, which is enterprises and institutions' needle
Paper corresponding with position vacant is preset to each position vacant, is integrated for the personal work ability to applicant
Examination, the particular content of paper can be configured according to the job specification of position vacant, herein with no restrictions.
Specifically, if information checking result is that verification passes through, then it represents that it is that objective is pre- that user, which meets enterprises and institutions,
The employment condition being first arranged, server-side obtains the identification information of user from applicant's information, in preset Pipers database
History answer record corresponding with identification information is inquired, which is to be capable of the identity of unique identification applicant
Identification information, for example, identification information specifically can be ID card No..
Wherein, history answer record includes the test sheet identification information of paper and the extraction time of paper, history answer note
Record is stored in Pipers database, for recording the historical information of the Reaction time of applicant and the paper of answer, test sheet identification letter
Breath being capable of the corresponding paper of unique identification in preset Pipers database.
S4: if inquiring history answer in preset Pipers database is recorded as sky, one is extracted from preset Pipers database
Part paper corresponding with objective, using the extraction time of the test sheet identification information of paper and paper as identification information pair
The answer record answered, storage are sent to client into preset Pipers database, and by paper.
Wherein, in preset Pipers database, paper is carried out the test of comprehensive examination and evaluation by the personal work ability to applicant
Topic composition, and the corresponding paper of each position vacant can have one or more sets, and every set paper, which is preassigned, to be corresponded to
Test sheet identification information.
Specifically, it if in preset Pipers database, inquires and is gone through there is no corresponding with the identification information of applicant
History answer record, then it represents that the applicant is the user of first answer, which has answer qualification, and server-side will be according to user
The objective applied for is requested, randomly selects paper corresponding with objective from preset Pipers database, and by the examination
Curly hair gives client, for assessing the ability to work of user.
When server-side obtains paper from preset Pipers database, preset Pipers database is according to the extraction time of paper and paper
Test sheet identification information, generate corresponding with the identification information of user answer and record, the answer record storage is pre- at this
If Pipers database in, to be inquired.
It should be noted that user needs to complete to answer to paper in the preset test paper time in paper, answering the questions in a test paper
In time, the content that user answers in paper is test result.
S5: the test result that client uploads is received, and is scored using preset Rating Model test result, is obtained
To appraisal result.
Wherein, user is after client completes the answering of paper, the content that client is answered in paper according to user
The test result of paper is obtained, and test result is uploaded into server-side.
Server-side receives the test result that client uploads, and the model answer of paper is obtained from preset Pipers database, and
It is scored using preset Rating Model test result, calculates the semantic phase between test result and the model answer of paper
Like degree, appraisal result is obtained.
Wherein, preset Rating Model can be based on DSSM (Deep Structured Semantic Model, depth
Structuring semantic model) the deep learning model established of algorithm, depth structure semantic model is using there is the training side of supervision
Method, the model for being used to calculate text similarity that training obtains, the appraisal result are that applicant completes server-side after paper
The score that the content of answering of applicant is assessed.
Further, the specific building process of preset Rating Model are as follows: historic test results are obtained, according to the mark of paper
Quasi- answer, scores to historic test results by the way of manually scoring, using the historic test results to have scored as instruction
Practice sample, the artificial mark for having supervision is carried out to the model answer of training sample and paper, so as to training sample and paper
Model answer distinguishes, and preset Rating Model includes input layer, expression layer and matching layer, and Rating Model is adopted in input layer
Coded treatment is carried out to the model answer of training sample and paper with One-Hot coding method, by Chinese text be converted to word to
Amount, Rating Model carry out process of convolution to the data after input layer coding using the model parameter of initialization in expression layer,
Feature extraction is carried out to the data that input layer obtains, obtains low latitude semantic vector, matching layer is for calculating training sample
The Semantic Similarity of the low latitude semantic vector of the model answer of low latitude semantic vector and paper, obtains matching score, according to artificial
The practical score that marking mode obtains calculates the loss function between matching score and practical score, using loss function in table
Show and carry out backpropagation in layer, adjust the model parameter of expression layer in Rating Model, so that loss function minimizes, to obtain
Rating Model.
It should be noted that One-Hot coding method is the coding mode for the value of data to be converted to vector expression,
Process of convolution be in depth e-learning extract data characteristic value processing mode, loss function be intended to indicate that predicted value with
Difference between actual value, in the training process of Rating Model, predicted value refers to matching score, and actual value, which refers to, tests history
As a result the obtained practical score that manually scores is carried out.
S6: all appraisal results corresponding with objective in preset time are obtained, and whether judge each appraisal result
Greater than preset acceptance line.
In the present embodiment, preset time is a pre-set time range, which can be set to one
It a month, indicates to obtain the corresponding appraisal result of the objective within one month, and preferentially record from the appraisal result got
It takes, is suitble to the work position recruited for a long time, alternatively, preset time may be set to be the time that the recruitment of position vacant terminates,
It indicates to obtain the corresponding appraisal result of the objective in the recruitment time limit, and is admitted the best of the examinees from the appraisal result got, had
Body can be configured according to the requisition of position vacant, herein with no restrictions.
Specifically, server-side obtains all appraisal results corresponding with objective in preset time, and judges each to comment
Whether point result is greater than preset acceptance line, wherein the appraisal result is intended to indicate that the quantization body of individual subscriber ability to work
Existing, which is job specification pre-set passing score line of the enterprises and institutions according to position vacant.
It is understood that if appraisal result is greater than preset acceptance line, then it represents that the ability to work of user can be competent at
Objective, otherwise, if appraisal result is not more than preset acceptance line, then it represents that the ability to work of user is not enough to competent application
Position.
S7: will be greater than the appraisal result of preset acceptance line, sort according to the score sequence from high to low of appraisal result,
The corresponding user of appraisal result of sequence top N is obtained as application winner, wherein N is positive integer.
Specifically, server-side will be greater than the appraisal result of preset acceptance line, according to appraisal result score from high to low
Sequence sequence, applicant is admitted the best of the examinees, obtains the corresponding user of appraisal result of sequence top N as applying for successfully
Person, so that it is determined that the application result of all applicants of the interior objective of preset time, wherein N is that enterprises and institutions are to recruit
Engage the pre-set the number of recruits within a preset time of position.
It is worth noting that the number if more than the appraisal result of preset acceptance line is less than N, then it represents that there may be examinations
More difficult situation is rolled up, server-side can be adjusted preset acceptance line, the score of preset acceptance line is turned down, so that greatly
It is greater than or equal to N in the number of the appraisal result of preset acceptance line.
In the present embodiment, it is requested by receiving the application that client is sent, is asked according to corresponding engage of job requirement
Applicant's information verifies, to obtain the applicant for meeting the preset employment condition of enterprises and institutions；If information checking is logical
It crosses, then according to the identification information in applicant's information, the history answer record of user is inquired in preset Pipers database, into
One step, if inquiring history answer is recorded as sky, paper drawing is sent to client from preset Pipers database, prevents from answering
It repeats to participate in answer interview in the person's of engaging short time, filters out the satisfactory talent and participate in answer interview；Finally receive client
The test result of upload user, and test result is scored using Rating Model to obtain appraisal result, obtain preset time
Interior all appraisal results corresponding with objective, are admitted the best of the examinees in the appraisal result got, to be enterprises and institutions
Unit determines recruitment person, so that entire recruitment is participated in without artificial, saves human resources, and user can arrange sky
The not busy time is applied for, it is not necessary to be limited by time and region, to improve the intelligent level of recruitment.
In one embodiment, as shown in figure 3, before step S1, i.e., before receiving the application request that client is sent,
Recruitment methods on line based on intelligent scoring further include:
S101: the objective that client is sent is received.
Specifically, enterprises and institutions need according to the business of itself in Web realease recruitment information, and objective is user
After Client browse recruitment information, the position that selection application is applied for, server-side receives client by network and sends
Objective.
S102: according to objective, preset personal information questionnaire is sent to client.
Specifically, preset personal information questionnaire is the questionnaire being arranged for the personal basic condition of user,
The questionnaire topic of personal information questionnaire includes but is not limited to address name, user's gender, user identity card number, family status
It is related to the questionnaire topic of personal information with user's educational background etc..
Server-side obtains personal information questionnaire corresponding with objective according to objective, and by personal information
Questionnaire is sent to client, for obtaining the personal information of user, wherein the content that user fills in questionnaire is i.e.
For personal information.
S103: receiving the personal information of the asynchronous submission of client, and examines whether personal information meets personal information investigation
Preset questionnaire requirement in questionnaire.
In the present embodiment, preset questionnaire requires to be preparatory for each questionnaire topic in personal information questionnaire
The answer specification of setting can be specifically configured according to the content of questionnaire topic, for example, in personal information questionnaire
" name " this questionnaire topic, pre-set questionnaire require as " content of input is Chinese character type, and length is less than
6 ", for the single choice test items in personal information questionnaire, pre-set questionnaire is required as " option of input cannot be
Sky, and an option can only be selected ".
Specifically, client is inputted user by the way of asynchronous communication in preset personal information questionnaire
Personal information is transferred to server-side, and server-side is required according to preset questionnaire, carries out to the personal information of the asynchronous submission of client
It examines.
Wherein, the personal information that user inputs is sent to the communication mode of server-side by asynchronous communication, that is, client in real time,
Time interval between transmitted different personal information is arbitrary, for example, when using asynchronous communication, " name " and " property
The sending time of not " two personal information can be different, and when use synchronous communication, " name " and " gender " two personal letters
Breath need to be sent simultaneously.
If personal information does not meet preset questionnaire requirement in personal information questionnaire, then it represents that the personal information is not
Legal input, process jump to step S104 and continue to execute.
If personal information meets preset questionnaire requirement in personal information questionnaire, then it represents that the personal information is legal
Input, process jump to step S105 and continue to execute.
S104: if personal information does not meet preset questionnaire requirement, select and do not meet of preset questionnaire requirement
Corresponding preset first prompt information of people's information is output to client.
Specifically, server-side is required according to preset questionnaire, to user during verification with people's information, if
The personal information of input does not meet preset questionnaire requirement, then judges the personal information of the input of user, inputted
Ill-formalness of the personal information in the questionnaire topic, and obtain preset first prompt information corresponding with the ill-formalness
It is output to client, so that user corrects according to personal information of first prompt information to input, wherein preset first
Prompt information is server-side according to the pre-set miscue information of preset questionnaire requirement, for prompting the tool of personal information
Body ill-formalness.
For example, server-side judges the personal information of the input of user, if user is in " name " corresponding personal letter
" king is me to patrol mountain " is inputted in breath, then it represents that the personal information does not meet preset questionnaire requirement, according to the individual of input
Ill-formalness of the information in the questionnaire topic obtains prompt information corresponding with the ill-formalness, prompts " the content mistake of input
It is long, 5 digits please not exceed "；If user inputs " aaaaa " in " name " corresponding personal information, prompt " to input the pure Chinese
Word ", wherein " content of input is too long, please not exceed 5 digits " and " please input pure Chinese character " is " name " this questionnaire topic
Corresponding preset first prompt information of mesh.
S105: if personal information meets preset questionnaire requirement, the preset identification information that is verified is sent to
Client.
Specifically, if the personal information of input meets preset questionnaire requirement, server-side is verified preset
Identification information is sent to client, wherein is verified identification information and is intended to indicate that the personal information of user's input is to close
The command information of method input, client can be verified identification information according to this, will be in preset personal information questionnaire
The submitting button of offer will be converted to operable state from lock state, when the user clicks when submitting button, indicate that user is complete
Pairs of personal information questionnaire is answered, and the personal information questionnaire filled according to user is generated applicant and believed by client
Breath, and application request is generated according to applicant's information and objective, for being applied for server-side application to objective.
In the present embodiment, the objective sent by receiving client, is sent to visitor for personal information questionnaire
Family end receives the personal information of the asynchronous submission of client to obtain the personal information of user, and examines whether personal information accords with
Preset questionnaire requirement in personal information questionnaire is closed, user is avoided to answer the whole feelings that questionnaire problems are just verified
Condition improves verification efficiency, meanwhile, if personal information does not meet preset questionnaire requirement, miscue information is output to visitor
Family end allows users to correct personal information according to prompt information, if personal information meets preset questionnaire and wants
It asks, then will be verified identification information and be sent to client, indicate that personal information is legal input, user can carry out submission behaviour
Make, it is ensured that the legitimacy of userspersonal information enables a client to generate applicant's information according to personal information, and according to answering
The person's of engaging information and objective generate application request.
In one embodiment, as shown in figure 4, upon step s 2, i.e., obtaining and answering from preset recruitment information library
The corresponding job requirement of position is engaged, whether verification applicant's information meets job requirement, after obtaining information checking result, be based on
Recruitment methods on the line of intelligent scoring further include:
S21: if information checking result is information checking failure, from preset recruitment information library except objective it
In outer other position vacants, the other position vacants to match with applicant's information are obtained, generate M recommendation position, wherein
M is positive integer.
Specifically, if information checking result is information checking failure, then it represents that user does not meet enterprises and institutions as application
The pre-set employment condition of position, server-side are inquired in preset recruitment information library and are removed according to applicant's information of user
The corresponding job requirement of other position vacants except objective is closed applicant's information as the matching in regular expression
Keyword to generate regular expression, and uses the regular expression, obtains from the job requirement inquired and believe with applicant
The matched job requirement of manner of breathing obtains corresponding M other position vacants of the job requirement to match as position is recommended, obtains
To M recommendation position, M is positive integer, and the value of M can take 1, can also be equal to 3, with specific reference to reality and applicant's information phase
The position vacant matched determines, wherein preset recruitment information library includes the job requirement of position vacant and position vacant.
It should be noted that the matched mode of canonical, is carried out in specified range by preset regular expression
Retrieval or replacement meet the mode of the text of the definition of expression formula, which is a kind of logic to string operation
Formula is combined using the character pre-defined, to the logic that the text in specified range is filtered, is selected and is included
The text of the character pre-defined, for example, the regular expression of applicant's information combination is specifically as follows: " undergraduate course " & " male " &
" 25 years old ".
S22: M recommendation position is sent to client.
Specifically, position is recommended specifically to can be one or more, server-side will recommend position to be sent to client, with
User is set to understand the job information for recommending position, science provides the post for meeting job requirement intelligently for user, is applicant
More chances are provided.
In the present embodiment, corresponding by other position vacants inquired in recruitment information library in addition to objective
Job requirement, and the job requirement to match with applicant's information is obtained from the job requirement inquired, this is matched
Other corresponding position vacants of job requirement will recommend position to be sent to client, to mention for applicant as position is recommended
For more select with more chances, further increase the intelligent level of recruitment and the engagement efficiency of enterprises and institutions.
In one embodiment, as shown in figure 5, after step s 3, and before step S5, if that is, in information checking knot
Fruit passes through for information checking, then according to the identification information in applicant's information, identity mark is inquired in preset Pipers database
After knowing the corresponding history answer record of information, and before receiving the test result that client uploads, it is based on intelligent scoring
Line on recruitment methods further include:
S31: if inquiring, in preset Pipers database, there are history answer records, and from history answer record, acquisition is most
Close to the extraction time of the paper of current time.
Specifically, if inquiring, in preset Pipers database, there are history answer records, then it represents that the identity mark for inquiry
Know the corresponding user of information and once carried out answer test, server-side is obtained from history answer record closest to current time
Paper the extraction time, to obtain user's recent answer record, wherein current time refers to that server-side receives
After application request it is corresponding engage ask and responded at the beginning of, extracting the time refers to that server-side is obtained from preset Pipers database
The time of paper.
S32: it if the extraction time gap current time of paper is no more than preset limitation Reaction time, exports preset
Second prompt information terminates the corresponding response engaged and asked to client.
Specifically, preset limitation Reaction time is the answer item that applicant repeat brush topic and setting in order to prevent
Part, for example, preset limitation Reaction time can specifically have been set to 3 months, if indicate the Reaction time of user's last time away from
From the current date no more than 3 moon, then user does not have answer qualification temporarily.
If the extraction time gap current time of paper is no more than preset limitation Reaction time, preset second is exported
Prompt information terminates the corresponding response engaged and asked to client, wherein the second prompt information is that server-side presets and is used for
Prompt user participated in answer test prompt information, for example, preset second prompt information specifically can be set to " you
Participated in test！", it can also be configured according to the needs of practical application, herein with no restrictions.
S33: if the extraction time gap current time of paper is more than preset limitation Reaction time, history answer is obtained
The test sheet identification information of paper in record.
Specifically, if the extraction time gap current time of paper is more than preset limitation Reaction time, then it represents that user
Has answer qualification, server-side obtains the test sheet identification information of paper in history answer record, to determine that user has answered
The paper crossed.
S34: excluding the corresponding paper of test sheet identification information in preset Pipers database, extracts from remaining paper a
Paper corresponding with objective, using the test sheet identification information of the paper and the acquisition time of the paper as identification information
Corresponding answer record, storage are sent to client into preset Pipers database, and by the paper.
Specifically, server-side excludes the corresponding paper of test sheet identification information in preset Pipers database, from remaining paper
A paper corresponding with objective of middle extraction, and the paper is sent to client, for assessing the ability to work of user.
When server-side obtains paper from preset Pipers database, preset Pipers database is according to the extraction time of paper and paper
Test sheet identification information, generate corresponding with the identification information of user answer and record, the answer record storage is pre- at this
If Pipers database in, to be inquired.
In the present embodiment, by obtaining the extraction time closest to the paper of current time from history answer record,
And judge whether the extraction time of the paper is more than preset limitation Reaction time, if the extraction time gap current time of paper
No more than limitation Reaction time, then preset second prompt information is exported to client, while terminating the corresponding response engaged and asked,
For prompting user to participate in answer test, prevent user from repeating brush topic, if the extraction time gap current time of paper is super
Preset limitation Reaction time is crossed, then the test sheet identification information of paper in history answer record is obtained, to determine user
The paper answered finally excludes the corresponding paper of test sheet identification information in preset Pipers database, takes out from remaining paper
It takes a paper corresponding with objective to be sent to client, avoids being drawn into the paper that user had answered, improve and recruit
The fairness engaged.
In one embodiment, as shown in fig. 6, after step s 7, i.e., in the appraisal result that will be greater than preset acceptance line,
According to the score sequence sequence from high to low of appraisal result, the corresponding user of appraisal result of sequence top N is obtained as answering
After engaging winner, recruitment methods on the line based on intelligent scoring further include:
S71: the information that user is obtained from applicant's information receives address.
Specifically, applicant's information further includes that the information of user receives address, and server-side obtains use from applicant's information
The information at family receives address, which, which receives address, specifically can be mailbox reception address or short message reception address etc. communicatively
Location, herein with no restrictions.
S72: if user belongs to application winner, the first application result is sent to information and receives address.
Specifically, the application winner determined according to step S7, if user belongs to application winner, then it represents that the work of user
The ability of work can be competent at objective, by first application result issue user information receive address, this first application the result is that
Successful notification information is applied for, for example, the first recruitment result specifically can be set to " congratulate you to recruit by our programmer
It engages, woulds you please report October 1 to our company, wish that you live a happy life！".
Optionally, enterprises and institutions are directed to the simple position of a few thing Property requirements, if after applying for successfully, it can be with
Next hiring process that the corresponding recruitment work of objective of user is arranged is " registration ", and server-side is according to applicant's information
Registration information is generated, the information that registration information is sent to applicant's information is received in address.
Optionally, the position more demanding for job specification, if after applying for successfully, the application of user can also be arranged
Next hiring process of the corresponding recruitment work of position is " physical examination " or " two faces ", the body that server-side specifies enterprises and institutions
Inspection place perhaps two face places be sent to applicant's information information receive address in so as to the physical condition of user or its
He is further examined ability.
S73: if user is not belonging to application winner, the second application result is sent to information and receives address.
Specifically, if user is not belonging to application winner, then it represents that the ability to work of user is not enough to competent objective,
Or profile of the user in all applicants does not protrude, server-side connects the information that the second application result issues user
Address is received, which be the notification information of application failure, for notifying that user's application fails as a result, for example, the
Two recruitment results specifically can be set to that " unfortunately you could not be recruited by our programmer, your our company that can have a try is other
Position, wish you to pass through！".
In the present embodiment, address is received by obtaining the information of user from applicant's information, if user belongs to application
First application result is then sent to information and receives address by winner, notifies that application is successfully as a result, if user is not belonging to user
Apply for winner, then by second application result be sent to information receive address, notify user apply for failure as a result, and to user
It is encouraged, guarantees the integrality of recruitment.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, it provides and recruits device on a kind of line based on intelligent scoring, it should be based on the line of intelligent scoring
Device is recruited to correspond with recruitment methods on the line based on intelligent scoring in above-described embodiment.As shown in fig. 7, should be based on intelligence
On the line of scoring recruit device include: application command reception module 71, information checking module 72, answer record queries module 73,
First paper obtains module 74, paper grading module 75, appraisal result judgment module 76 and selected list determining module 77.Each function
Detailed description are as follows for energy module:
Command reception module 71 is applied for, for receiving the application request of client transmission, wherein application request includes user
Applicant's information and objective；
Information checking module 72, for obtaining job requirement corresponding with objective from preset recruitment information library,
Whether verification applicant's information meets job requirement, obtains information checking result；
Answer record queries module 73, if passing through for information checking result for information checking, according to applicant's information
In identification information, inquire corresponding with identification information history answer in preset Pipers database and record；
First paper obtains module 74, if being recorded as sky for inquiring history answer in preset Pipers database, from
A paper corresponding with objective is extracted in preset Pipers database, when by the extraction of the test sheet identification information of paper and paper
Between as identification information corresponding answer record, storage is sent to client into preset Pipers database, and by paper；
Paper grading module 75, for receiving the test result of client upload, and using preset Rating Model to survey
Test result scores, and obtains appraisal result；
Appraisal result judgment module 76, for obtaining all appraisal results corresponding with objective in preset time, and
Judge whether each appraisal result is greater than preset acceptance line；
Selected list determining module 77, for will be greater than the appraisal result of preset acceptance line, according to point of appraisal result
The sequence sequence of number from high to low, obtains the corresponding user of appraisal result of sequence top N as application winner, wherein N is
Positive integer.
It further, should be based on recruiting device on the line of intelligent scoring further include:
Objective receiving module, for receiving the objective of client transmission；
Questionnaire sending module, for according to objective, preset personal information questionnaire to be sent to client
End；
Whether personal information receiving module for receiving the personal information of the asynchronous submission of client, and examines personal information
Meet preset questionnaire requirement in personal information questionnaire；
First information output module is selected and is not met and is pre- if not meeting preset questionnaire requirement for personal information
If questionnaire require corresponding preset first prompt information of personal information be output to client；
Identification information sending module is logical by preset verifying if meeting preset questionnaire requirement for personal information
It crosses identification information and is sent to client.
It further, should be based on recruiting device on the line of intelligent scoring further include:
Information matches module, if being information checking failure for information checking result, from preset recruitment information library
Other position vacants in addition to objective in, obtain the other position vacants to match with applicant's information, generate M
Recommend position, wherein M is positive integer；
Recommend position sending module, for M recommendation position to be sent to client.
It further, should be based on recruiting device on the line of intelligent scoring further include:
It answers the questions in a test paper time-obtaining module, if in preset Pipers database, there are history answer records for inquiring, from history
In answer record, the extraction time closest to the paper of current time is obtained；
Second message output module, if the extraction time gap current time for paper is no more than preset limitation answer
Time then exports preset second prompt information to client, and terminates the corresponding response engaged and asked；
Test sheet identification obtains module, if the extraction time gap current time for paper is more than preset limitation answer
Between, then obtain the test sheet identification information of paper in history answer record；
Second paper obtains module, for excluding the corresponding paper of test sheet identification information in preset Pipers database, from surplus
Under paper in extract a paper corresponding with objective, when by the acquisition of the test sheet identification information of the paper and the paper
Between as identification information corresponding answer record, storage is sent to client into preset Pipers database, and by the paper.
It further, should be based on recruiting device on the line of intelligent scoring further include:
Address acquisition module, the information for obtaining user from applicant's information receive address；
First application result is sent to information if belonging to application winner for user by the first notice sending module
Receive address；
Second application result is sent to letter if being not belonging to application winner for user by the second notice sending module
Breath receives address.
It may refer to comment above for based on intelligence about the specific restriction for recruiting device on the line based on intelligent scoring
The restriction of recruitment methods on the line divided, details are not described herein.Each mould in device is recruited on the above-mentioned line based on intelligent scoring
Block can be realized fully or partially through software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independence
In processor in computer equipment, it can also be stored in a software form in the memory in computer equipment, in order to
Processor, which calls, executes the corresponding operation of the above modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with
Realize recruitment methods on a kind of line based on intelligent scoring.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor realize that above-described embodiment is based on intelligence and comments when executing computer program
Step on the line divided in recruitment methods, such as step S1 shown in Fig. 2 to step S7, alternatively, processor executes computer journey
The function that each module of device is recruited on the line in above-described embodiment based on intelligent scoring, such as module shown in Fig. 7 are realized when sequence
71 to module 77 function.To avoid repeating, which is not described herein again.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program realizes above-described embodiment based on the step in recruitment methods on the line of intelligent scoring, such as Fig. 2 when being executed by processor
Shown step S1 to step S7, alternatively, processor is realized in above-described embodiment when executing computer program based on intelligent scoring
Line on recruit device each module function, such as module 71 shown in Fig. 7 is to the function of module 77.To avoid repeating, here
It repeats no more.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. recruitment methods on a kind of line based on intelligent scoring, which is characterized in that recruitment side on the line based on intelligent scoring
Method includes:
Receive the application request that client is sent, wherein the application request includes the applicant's information and objective of user；
Job requirement corresponding with the objective is obtained from preset recruitment information library, verifying applicant's information is
It is no to meet the job requirement, obtain information checking result；
If the information checking result passes through for information checking, according to the identification information in applicant's information,
History answer record corresponding with the identification information is inquired in preset Pipers database；
If inquiring the history answer in the preset Pipers database is recorded as sky, taken out from the preset Pipers database
A paper corresponding with the objective is taken, the extraction time of the test sheet identification information of the paper and the paper is made
For the corresponding answer record of the identification information, storage is sent into the preset Pipers database, and by the paper
The client；
The test result that the client uploads is received, and is scored using preset Rating Model the test result,
Obtain appraisal result；
All appraisal results corresponding with the objective in preset time are obtained, and whether judge each appraisal result
Greater than preset acceptance line；
The appraisal result that will be greater than the preset acceptance line, according to the score sequence from high to low of the appraisal result
Sequence obtains the corresponding user of appraisal result of sequence top N as application winner, wherein N is positive integer.
2. recruitment methods on the line based on intelligent scoring as described in claim 1, which is characterized in that in the reception client
Before the application request of transmission, recruitment methods on the line based on intelligent scoring further include:
Receive the objective that the client is sent；
According to the objective, preset personal information questionnaire is sent to the client；
The personal information of the asynchronous submission of the client is received, and examines whether the personal information meets the personal information tune
Interrogate preset questionnaire requirement in volume；
If the personal information does not meet the preset questionnaire requirement, selection does not meet preset questionnaire requirement with described
Corresponding preset first prompt information of personal information is output to the client；
If the personal information meets the preset questionnaire requirement, the preset identification information that is verified is sent to institute
State client.
3. recruitment methods on the line based on intelligent scoring as described in claim 1, which is characterized in that described from preset trick
It engages and obtains job requirement corresponding with the objective in information bank, verify whether applicant's information meets the position
It is required that after obtaining information checking result, recruitment methods on the line based on intelligent scoring further include:
If the information checking result is information checking failure, the application duty is removed from the preset recruitment information library
In other position vacants except position, the other position vacants to match with applicant's information are obtained, generate M recommendation duty
Position, wherein M is positive integer；
The M recommendation position is sent to the client.
4. recruitment methods on the line based on intelligent scoring as described in claim 1, which is characterized in that if in the information
Check results pass through for information checking, then according to the identification information in applicant's information, in preset Pipers database
It inquires after the corresponding history answer record of the identification information, and is received described in the client upload described
Before test result, recruitment methods on the line based on intelligent scoring further include:
If inquiring, in the preset Pipers database, there are the history answers to record, and from history answer record, obtains
Take the extraction time closest to the paper of current time；
If current time described in the extraction time gap of the paper is no more than preset limitation Reaction time, export preset
Second prompt information terminates the response to the application request to the client；
If current time described in the extraction time gap of the paper is more than preset limitation Reaction time, the history is obtained
The test sheet identification information of paper described in answer record；
The corresponding paper of the test sheet identification information is excluded in the preset Pipers database, is extracted from remaining paper a
Paper corresponding with the objective, using the test sheet identification information of the paper and the acquisition time of the paper as the identity
The corresponding answer record of identification information, storage are sent to the client into the preset Pipers database, and by the paper.
5. such as recruitment methods on the described in any item lines based on intelligent scoring of Claims 1-4, which is characterized in that described
Sequence is obtained after the corresponding user of appraisal result of top N is used as application winner, on the line based on intelligent scoring
Recruitment methods further include:
The information that the user is obtained from applicant's information receives address；
If the user belongs to the application winner, the first application result is sent to the information and receives address；
If the user is not belonging to the application winner, the second application result is sent to the information and receives address.
6. recruiting device on a kind of line based on intelligent scoring, which is characterized in that recruit dress on the line based on intelligent scoring
It sets and includes:
Command reception module is applied for, for receiving the application request of client transmission, wherein the application request includes user's
Applicant's information and objective；
Information checking module is verified for obtaining the corresponding job requirement of the objective from preset recruitment information library
Whether applicant's information meets the job requirement, obtains information checking result；
Answer record queries module is believed if passing through for the information checking result for information checking according to the applicant
Identification information in breath inquires the corresponding history answer record of the identification information in preset Pipers database；
First paper obtains module, if being recorded as sky for inquiring the history answer in the preset Pipers database,
A paper corresponding with the objective is extracted from the preset Pipers database, by the test sheet identification information of the paper
With the extraction time of the paper as the identification information corresponding answer record, the preset Pipers database is arrived in storage
In, and the paper is sent to the client；
Paper grading module, the test result uploaded for receiving the client, and using preset Rating Model to described
Test result scores, and obtains appraisal result；
Appraisal result judgment module for obtaining the corresponding all appraisal results of the objective in preset time, and judges
Whether each appraisal result is greater than preset acceptance line；
Selected list determining module is tied for will be greater than the appraisal result of the preset acceptance line according to the scoring
The sequence sequence of the score of fruit from high to low, the corresponding user of appraisal result for obtaining sequence top N, which is used as, to apply for successfully
Person, wherein N is positive integer.
7. recruiting device on the line based on intelligent scoring as claimed in claim 6, which is characterized in that described to be based on intelligent scoring
Line on recruit device further include:
Objective receiving module, the objective sent for receiving the client；
Questionnaire sending module, for preset personal information questionnaire being sent to described according to the objective
Client；
Personal information receiving module for receiving the personal information of the asynchronous submission of the client, and examines the personal information
Whether in the personal information questionnaire preset questionnaire requirement is met；
First information output module, if not meeting the preset questionnaire requirement for the personal information, selection with it is described
Corresponding preset first prompt information of personal information for not meeting preset questionnaire requirement is output to the client；
Identification information sending module is tested if meeting the preset questionnaire requirement for the personal information by preset
Card is sent to the client by identification information.
8. recruiting device on the line based on intelligent scoring as claimed in claim 6, which is characterized in that described to be based on intelligent scoring
Line on recruit device further include:
Information matches module, if being information checking failure for the information checking result, from the preset recruitment information
In other position vacants in addition to the objective in library, the other recruitments to match with applicant's information are obtained
Position generates M recommendation position, wherein M is positive integer；
Recommend position sending module, for the M recommendation position to be sent to the client.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
On line described in 5 any one based on intelligent scoring the step of recruitment methods.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization is on the line as described in any one of claim 1 to 5 based on intelligent scoring when the computer program is executed by processor
The step of recruitment methods.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811528660.1A CN109784639B (en) | 2018-12-13 | 2018-12-13 | Online recruitment method, device, equipment and medium based on intelligent scoring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811528660.1A CN109784639B (en) | 2018-12-13 | 2018-12-13 | Online recruitment method, device, equipment and medium based on intelligent scoring |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109784639A true CN109784639A (en) | 2019-05-21 |
| CN109784639B CN109784639B (en) | 2023-12-01 |
Family
ID=66496950
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811528660.1A Active CN109784639B (en) | 2018-12-13 | 2018-12-13 | Online recruitment method, device, equipment and medium based on intelligent scoring |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109784639B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110457611A (en) * | 2019-07-30 | 2019-11-15 | 精硕科技（北京）股份有限公司 | Realize method, apparatus, the browser and server of electric questionnaire anonymity answer |
| CN111062613A (en) * | 2019-12-17 | 2020-04-24 | 周涛 | Recruitment method and system for remote self-service assessment |
| CN111738693A (en) * | 2020-06-24 | 2020-10-02 | 北京云族佳科技有限公司 | Online pen test paper generation method and device, electronic equipment and storage medium |
| CN111898972A (en) * | 2020-07-08 | 2020-11-06 | 东莞理工学院城市学院 | Overseas personnel introduction and evaluation system with evaluation system for human resources |
| CN112396272A (en) * | 2019-08-16 | 2021-02-23 | 中国移动通信集团有限公司 | Rating model adjusting method, rating method, device, equipment and storage medium |
| CN113128948A (en) * | 2021-03-17 | 2021-07-16 | 广州番禺职业技术学院 | Application information auditing method, system and equipment |
| CN114418366A (en) * | 2022-01-06 | 2022-04-29 | 北京博瑞彤芸科技股份有限公司 | Data processing method and device for intelligent cloud interview |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104463423A (en) * | 2014-11-10 | 2015-03-25 | 深圳市网家缘科技有限公司 | Formative video resume collection method and system |
| CN107291715A (en) * | 2016-03-30 | 2017-10-24 | 阿里巴巴集团控股有限公司 | Resume appraisal procedure and device |
| CN108764838A (en) * | 2018-05-24 | 2018-11-06 | 佛山市轻遣网络有限公司 | Recommendation method and system for the system of recruiting |
-
2018
- 2018-12-13 CN CN201811528660.1A patent/CN109784639B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104463423A (en) * | 2014-11-10 | 2015-03-25 | 深圳市网家缘科技有限公司 | Formative video resume collection method and system |
| CN107291715A (en) * | 2016-03-30 | 2017-10-24 | 阿里巴巴集团控股有限公司 | Resume appraisal procedure and device |
| CN108764838A (en) * | 2018-05-24 | 2018-11-06 | 佛山市轻遣网络有限公司 | Recommendation method and system for the system of recruiting |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110457611A (en) * | 2019-07-30 | 2019-11-15 | 精硕科技（北京）股份有限公司 | Realize method, apparatus, the browser and server of electric questionnaire anonymity answer |
| CN112396272A (en) * | 2019-08-16 | 2021-02-23 | 中国移动通信集团有限公司 | Rating model adjusting method, rating method, device, equipment and storage medium |
| CN111062613A (en) * | 2019-12-17 | 2020-04-24 | 周涛 | Recruitment method and system for remote self-service assessment |
| CN111738693A (en) * | 2020-06-24 | 2020-10-02 | 北京云族佳科技有限公司 | Online pen test paper generation method and device, electronic equipment and storage medium |
| CN111898972A (en) * | 2020-07-08 | 2020-11-06 | 东莞理工学院城市学院 | Overseas personnel introduction and evaluation system with evaluation system for human resources |
| CN113128948A (en) * | 2021-03-17 | 2021-07-16 | 广州番禺职业技术学院 | Application information auditing method, system and equipment |
| CN114418366A (en) * | 2022-01-06 | 2022-04-29 | 北京博瑞彤芸科技股份有限公司 | Data processing method and device for intelligent cloud interview |
| CN114418366B (en) * | 2022-01-06 | 2022-08-26 | 北京博瑞彤芸科技股份有限公司 | Data processing method and device for intelligent cloud interview |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109784639B (en) | 2023-12-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109784639A (en) | Recruitment methods, device, equipment and medium on line based on intelligent scoring | |
| CN108154451A (en) | A kind of intelligent teaching system | |
| CN107958317A (en) | A kind of method and apparatus that crowdsourcing participant is chosen in crowdsourcing project | |
| CN103971555A (en) | Multi-level automated assessing and training integrated service method and system | |
| CN107316521A (en) | A kind of intelligent English teaching system | |
| Veeramachaneni et al. | Towards feature engineering at scale for data from massive open online courses | |
| CN111010370A (en) | Anti-cheating online examination method based on mobile terminal | |
| Buys et al. | Developing relationships between vocational rehabilitation agencies and employers | |
| CN110110959A (en) | Intelligent recruitment methods, device, equipment and storage medium based on user's answer | |
| CN110458732A (en) | Training Methodology, device, computer equipment and storage medium | |
| CN109255747A (en) | A kind of intelligent checks method that information is declared | |
| KR20210001419A (en) | User device, system and method for providing interview consulting service | |
| CN107909873A (en) | A kind of wrong topic management method and device | |
| Woodbridge | The EDNA model for doing research in practical theology: A biblical approach | |
| CN106384315A (en) | On-line education, communication, friend making and recruitment system and method | |
| Armstrong | Causal mapping: a discussion and demonstration | |
| Van Rensburg | Evaluating the career transition phenomenon | |
| Heidemann | Moving to global standards for accreditation processes: the ExPeRT Project in a larger context | |
| Hurlbert | Evaluating public consultation in nuclear energy: the importance of problem structuring and scale | |
| Senn et al. | The other side of case implementation best practices for success | |
| Pettiway et al. | How do post mortems contribute to organizational learning? | |
| CN109299805A (en) | A kind of online education course request processing method based on artificial intelligence | |
| Sessa et al. | Learning in multi-team systems: a qualitative study of learning triggers, readiness to learn and learning processes | |
| CN110322086A (en) | A kind of education writing on the blackboard checking system based on Intelligent hardware and cloud platform | |
| CN114882424A (en) | Sports item evaluation method, related equipment and computer readable storage medium |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20231102 Address after: 1513, 15th Floor, Guiyang Human Resources and Social Security Public Service Center, No. 235 Kaili Road, Guanshan Street, Guanshanhu District, Guiyang City, Guizhou Province, 550081 Applicant after: Guizhou Youpantou Technology Co.,Ltd. Address before: 518000 Room 202, block B, aerospace micromotor building, No.7, Langshan No.2 Road, Xili street, Nanshan District, Shenzhen City, Guangdong Province Applicant before: Shenzhen LIAN intellectual property service center Effective date of registration: 20231102 Address after: 518000 Room 202, block B, aerospace micromotor building, No.7, Langshan No.2 Road, Xili street, Nanshan District, Shenzhen City, Guangdong Province Applicant after: Shenzhen LIAN intellectual property service center Address before: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Applicant before: PING AN PUHUI ENTERPRISE MANAGEMENT Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |