CN107870976A - Resume identification device, method and computer-readable recording medium - Google Patents
Resume identification device, method and computer-readable recording medium Download PDFInfo
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- CN107870976A CN107870976A CN201710876431.8A CN201710876431A CN107870976A CN 107870976 A CN107870976 A CN 107870976A CN 201710876431 A CN201710876431 A CN 201710876431A CN 107870976 A CN107870976 A CN 107870976A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
Abstract
The invention discloses a kind of resume identification device, including memory and processor, the resume recognizer that can be run on a processor is stored with memory, the program realizes following steps when being executed by processor：The entry contents for belonging to default entry are obtained from resume to be identified；The entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are subjected to Keywords matching, to calculate the similarity between resume to be identified and reference resume；Judge whether that all similarities with reference between resume and resume to be identified in resume storehouse are respectively less than or equal to the first predetermined threshold value；If so, then judging that resume to be identified is true resume, and resume to be identified is added to interview list；If it is not, then judge resume to be identified for fraud resume.The present invention also proposes a kind of resume recognition methods and a kind of computer-readable recording medium.Effectively identification resume of the invention is played tricks, and reduces the interview wasting of resources.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of resume identification device, method and computer-readable deposit
Storage media.
Background technology
Outsourcing service provider's resume that supplier uploads, if outsourcing service provider fakes in resume content, such as：Work experience is made
Faked in the information such as vacation, project experiences, and in the case of resume is faked, only when the auditor of department checks or
It when interviewee is interviewed, can identify, cause to waste interview resource.
The content of the invention
The present invention provides a kind of resume identification device, method and computer-readable recording medium, and its main purpose is have
Effect identification resume is played tricks, and reduces the interview wasting of resources.
To achieve the above object, the present invention provides a kind of resume identification device, and the device includes memory and processor, institute
The resume recognizer that is stored with and can run on the processor in memory is stated, the resume recognizer is by the processing
Device realizes following steps when performing：
The entry contents for belonging to default entry are obtained from resume to be identified；
The entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are subjected to keyword
Matching, to calculate the similarity between the resume to be identified and reference resume；
Judge whether that all similarities with reference to resume between the resume to be identified in the resume storehouse are respectively less than
Or equal to the first predetermined threshold value；
If so, then judging that the resume to be identified is true resume, and the resume to be identified is added to interview list；
If it is not, then judge the resume to be identified for fraud resume.
Alternatively, the entry contents of the entry contents by acquisition default bar identical with referring to resume in resume storehouse now
Keywords matching is carried out, to include the step of calculating the resume to be identified and each similarity with reference between resume：
Obtain reference keyword and the total quantity with reference to keyword for referring to and presetting that bar includes now in resume；
The keyword quantity under the entry contents of the default entry of the resume to be identified is calculated in the total quantity
In accounting, using the accounting as the resume to be identified and this refer to resume between similarity.
Alternatively, the entry contents of the entry contents by acquisition default bar identical with referring to resume in resume storehouse now
Keywords matching is carried out, to include the step of calculating the resume to be identified and each similarity with reference between resume：
When including multiple default entries in the resume to be identified, obtain and wrapped now with reference to each default bar in resume
The quantity of the reference keyword contained；
The ratio that the keyword quantity that each default bar includes now accounts for the keyword total quantity of the default entry is calculated respectively
Example, and weight corresponding to each default entry is obtained, wherein, weight sum corresponding to the multiple default entry is 1；
According to the ratio and the weight corresponding to each default entry, the letter to be identified is calculated according to weighting algorithm
Go through and the similarity with reference between resume.
Alternatively, the processor is additionally operable to perform the resume recognizer, to judge the letter to be identified described
Go through before the step of true resume, also to realize following steps：
If the similarity between reference resume and the resume to be identified in the resume storehouse is respectively less than or equal to the
Whether one predetermined threshold value, then judge to have in the resume storehouse and be more than the with reference to the similarity between resume and the resume to be identified
Two predetermined threshold values, wherein, first predetermined threshold value is more than second predetermined threshold value；
If it is not, then judging that the resume to be identified is true resume, the resume to be identified is added to interview list；
If so, then the resume to be identified is sent to the first default node, so that the described first default node is to described
The authenticity of resume to be identified is judged；
When receiving the confirmation that the described first default node is sent, judge the resume to be identified for true letter
Go through, and perform the described the step of resume to be identified is added to interview list.
Alternatively, extraction keyword is used as and refers to keyword from each default entry of the resume of upload；
By the reference keyword with after corresponding default entry association, generating and being stored with reference to resume to the resume storehouse.
In addition, to achieve the above object, the present invention also provides a kind of resume recognition methods, and this method includes：
The entry contents for belonging to default entry are obtained from resume to be identified；
The entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are subjected to keyword
Matching, to calculate the similarity between the resume to be identified and reference resume；
Judge whether that all similarities with reference to resume between the resume to be identified in the resume storehouse are respectively less than
Or equal to the first predetermined threshold value；
If so, then judging that the resume to be identified is true resume, and the resume to be identified is added to interview list；
If it is not, then judge the resume to be identified for fraud resume.
Alternatively, the entry contents of the entry contents by acquisition default bar identical with referring to resume in resume storehouse now
Keywords matching is carried out, to include the step of calculating the resume to be identified and each similarity with reference between resume：
Obtain reference keyword and the total quantity with reference to keyword for referring to and presetting that bar includes now in resume；
The keyword quantity under the entry contents of the default entry of the resume to be identified is calculated in the total quantity
In accounting, using the accounting as the resume to be identified and this refer to resume between similarity.
Alternatively, the entry contents of the entry contents by acquisition default bar identical with referring to resume in resume storehouse now
Keywords matching is carried out, to include the step of calculating the resume to be identified and each similarity with reference between resume：
When including multiple default entries in the resume to be identified, obtain and wrapped now with reference to each default bar in resume
The quantity of the reference keyword contained；
The ratio that the keyword quantity that each default bar includes now accounts for the keyword total quantity of the default entry is calculated respectively
Example, and weight corresponding to each default entry is obtained, wherein, weight sum corresponding to the multiple default entry is 1；
According to the ratio and the weight corresponding to each default entry, the letter to be identified is calculated according to weighting algorithm
Go through and the similarity with reference between resume.
Alternatively, the processor is additionally operable to perform the resume recognizer, to judge the letter to be identified described
Go through before the step of true resume, also to realize following steps：
If the similarity between reference resume and the resume to be identified in the resume storehouse is respectively less than or equal to the
Whether one predetermined threshold value, then judge to have in the resume storehouse and be more than the with reference to the similarity between resume and the resume to be identified
Two predetermined threshold values, wherein, first predetermined threshold value is more than second predetermined threshold value；
If it is not, then judging that the resume to be identified is true resume, the resume to be identified is added to interview list；
If so, then the resume to be identified is sent to the first default node, so that the described first default node is to described
The authenticity of resume to be identified is judged；
When receiving the confirmation that the described first default node is sent, judge the resume to be identified for true letter
Go through, and perform the described the step of resume to be identified is added to interview list.
In addition, to achieve the above object, the present invention also provides a kind of computer-readable recording medium, described computer-readable
It is stored with resume recognizer in storage medium, the resume recognizer can be by one or more computing device, with reality
Now the step of resume recognition methods as described above.
Resume identification device, method and computer-readable recording medium proposed by the present invention, are obtained from resume to be identified
Belong to the entry contents of default entry, the entry contents of acquisition are entered with reference to the entry contents of identical default bar now in resume
Row Keywords matching, to calculate the similarity between resume to be identified and reference resume；In Ruo Jianliku it is all with reference to resumes with
Similarity between resume to be identified is respectively less than or equal to the first predetermined threshold value, then it is true resume to judge resume to be identified,
Otherwise the resume to be identified is judged for fraud resume, and whether the present invention is faked progress by such scheme before interview to resume
Identification, the resume of fraud is filtered out, and will be determined as that real resume added to interviewing in list, improves interview efficiency, reduced
The waste of resource is interviewed, reduces employment risk.
Brief description of the drawings
Fig. 1 is the schematic diagram of resume identification device preferred embodiment of the present invention；
Fig. 2 is the program module schematic diagram of resume recognizer in the embodiment of resume identification device one of the present invention；
Fig. 3 is the flow chart of resume recognition methods preferred embodiment of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of resume identification device.It is resume identification device preferred embodiment of the present invention shown in reference picture 1
Schematic diagram.
In the present embodiment, resume identification device can be PC (Personal Computer, PC), can also
It is the packaged type terminal device that smart mobile phone, tablet personal computer etc. have display function.
The resume identification device comprises at least memory 11, processor 12, communication bus 13, and network interface 14.
Wherein, memory 11 comprises at least a type of readable storage medium storing program for executing, the readable storage medium storing program for executing include flash memory,
Hard disk, multimedia card, card-type memory (for example, SD or DX memories etc.), magnetic storage, disk, CD etc..Memory 11
Can be the internal storage unit of resume identification device in certain embodiments, such as the hard disk of the resume identification device.Storage
Device 11 can also be in further embodiments the External memory equipment of resume identification device, such as be equipped with resume identification device
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card,
Flash card (Flash Card) etc..Further, memory 11 can also both include the internal storage unit of resume identification device
Also External memory equipment is included.Memory 11 can be not only used for storage and be installed on the application software of resume identification device and all kinds of
Data, such as code of resume recognizer etc., it can be also used for temporarily storing the data that has exported or will export.
Processor 12 can be in certain embodiments a central processing unit (Central Processing Unit,
CPU), controller, microcontroller, microprocessor or other data processing chips, for the program stored in run memory 11
Code or processing data, such as perform resume recognizer etc..
Communication bus 13 is used to realize the connection communication between these components.
Network interface 14 can optionally include wireline interface, the wave point (such as WI-FI interfaces) of standard, be generally used for
Communication connection is established between the device and other electronic equipments.
Fig. 1 illustrate only the resume identification device with component 11-14 and resume recognizer, it should be understood that
It is, it is not required that implement all components shown, the more or less component of the implementation that can be substituted.
Alternatively, the device can also include user interface, and user interface can include display (Display), input
Unit such as keyboard (Keyboard), optional user interface can also include wireline interface, the wave point of standard.It is optional
Ground, in certain embodiments, display can be light-emitting diode display, liquid crystal display, touch-control liquid crystal display and OLED
(Organic Light-Emitting Diode, Organic Light Emitting Diode) touches device etc..Wherein, what display can also be suitably
Referred to as display screen or display unit, for being shown in the information that is handled in resume identification device and for showing visual use
Family interface.
Alternatively, the device can also include touch sensor.What the touch sensor was provided is touched for user
The region for touching operation is referred to as touch area.In addition, touch sensor described here can be resistive touch sensor, electric capacity
Formula touch sensor etc..Moreover, the touch sensor not only includes the touch sensor of contact, proximity may also comprise
Touch sensor etc..In addition, the touch sensor can be single sensor, or multiple sensings of array arrangement
Device.The area of the display of the device can be identical with the area of the touch sensor, can also be different.Alternatively, will be aobvious
Show that device is set with touch sensor stacking, to form touch display screen.The device is based on touch display screen detecting user and touched
The touch control operation of hair.
Alternatively, the device can also include camera, RF (Radio Frequency, radio frequency) circuit, sensor, sound
Frequency circuit, WiFi module etc..Wherein, sensor ratio such as optical sensor, motion sensor and other sensors.Specifically, light
Sensor may include ambient light sensor and proximity transducer, wherein, if the device is mobile terminal, ambient light sensor can root
The brightness of display screen is adjusted according to the light and shade of ambient light, proximity transducer can be closed aobvious when mobile terminal is moved in one's ear
Display screen and/or backlight.As one kind of motion sensor, gravity accelerometer can detect in all directions (generally three
Axle) acceleration size, size and the direction of gravity are can detect that when static, available for identification mobile terminal posture application
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
Certainly, mobile terminal can also configure the other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared ray sensor,
This is repeated no more.
In the device embodiment shown in Fig. 1, resume recognizer is stored with memory 11；Processor 12 performs storage
Following steps are realized during the resume recognizer stored in device 11：
The entry contents for belonging to default entry are obtained from resume to be identified.
The entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are subjected to keyword
Matching, to calculate the similarity between the resume to be identified and reference resume.
The present embodiment propose device in operation have resume recognizer, the program can with wrapped steel joint system docking,
Wrapped steel joint system sends the resume of outsourcing service provider according to personnel demand information to the device of the present embodiment, and the device receives
After stating resume, using above-mentioned resume as resume to be identified, it is identified to whether resume fakes, the resume for the fraud that will identify that
Filter out, retain the true resume identified.
It should be noted that being stored with resume storehouse in the present apparatus, have in the resume storehouse it is multiple refer to resume, wherein, ginseng
The resume of on-the-job personnel can be derived from reference to resume by examining.The device can be handled for existing resume, be fabricated to ginseng
Resume storage is examined into resume storehouse, as the benchmark whether faked of resume for judging the upload of wrapped steel joint system.Referred to making
During resume, resume template is set, includes multiple default entries, such as work experience, project experiences, practice in the resume template
Experience and training experience etc., according to the existing resume of resume template typing, and in typing resume, to extract keyword
Mode typing, rather than the content whole typing by bar now.
Specifically, processor 12 is additionally operable to perform the resume identification device, to realize following steps：
Extraction keyword, which is used as, from each default entry of the resume of upload refers to keyword；Keyword is referred to by described
After corresponding default entry association, generation is stored to the resume storehouse with reference to resume.Wherein, entry contents are showed into use
Family, keyword is manually selected by user, receive the keyword of user's selection as keyword is referred to, it is associated with default entry
Storage.Further, it is also possible to which resume template is supplied into wrapped steel joint system, supplier passes through resume template typing outsourcing service provider
Resume and upload.
When resume to be identified is matched with the resume in resume storehouse, obtained from resume to be identified and belong to default bar
Purpose entry contents, such as work experience this default entry, obtain in resume and belong to the entry contents of this now, according to letter
The resume storage order gone through in storehouse is matched one by one, calculates each with reference to similar between resume and resume to be identified
Degree.Because the number for belonging to default entry in the resume of outsourcing service provider is not known, for example, can in the resume of some outsourcing service providers
It can include work experience, project experiences, practice experience and multiple default entries such as training experience, and some outsourcing service providers
May only have work experience or practice to undergo this default entry, therefore, the above-mentioned calculating side on similarity in resume
Method can use different computational methods according to the quantity of the default entry in resume to be identified.
For example, the entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are closed
Keyword matches, to include the step of calculating the resume to be identified and each similarity with reference between resume：Obtain with reference to letter
Reference keyword and the total quantity with reference to keyword that bar includes now are preset in going through；Calculate the described pre- of the resume to be identified
If accounting of the keyword quantity in the total quantity under the entry contents of entry, using the accounting as the letter to be identified
Go through with this refer to resume between similarity.
For example, only including work experience in resume to be identified, this presets entry, then obtains to refer to and bar is preset in resume
Keyword is referred to corresponding to mesh, and determines its total quantity N, judges that this default bar of the work experience of resume to be identified includes now
Have it is several it is above-mentioned refer to keyword, accounting of the number being calculated in total quantity N, using accounting as resume to be identified with should
With reference to the similarity between resume.
In other embodiments, the entry contents by acquisition are with referring to the identical default bar of resume now in resume storehouse
Entry contents carry out Keywords matching, to be wrapped the step of calculating the resume to be identified and each similarity with reference between resume
Include：When including multiple default entries in the resume to be identified, obtain and refer to what each default bar in resume included now
With reference to the quantity of keyword；Calculate respectively the keyword quantity that each default bar includes now account for the default entry keyword it is total
The ratio of quantity, and weight corresponding to each default entry is obtained, wherein, weight sum corresponding to the multiple default entry is
1；According to the ratio and the weight corresponding to each default entry, the resume to be identified and institute are calculated according to weighting algorithm
State with reference to the similarity between resume.User can be weight corresponding to it is set according to the significance level of default entry, count
After calculation obtains accounting corresponding to each default entry, with reference to the weight pre-set, calculate resume to be identified and refer to resume with this
Between similarity.
Judge whether that all similarities with reference to resume between the resume to be identified in the resume storehouse are respectively less than
Or equal to the first predetermined threshold value.
If so, then judging that the resume to be identified is true resume, and the resume to be identified is added to interview list.
If it is not, then judge the resume to be identified for fraud resume.
After all similarities with reference between resume being calculated in resume and resume storehouse to be identified, according to setting in advance
The first predetermined threshold value put judges whether resume to be identified fakes.For example, in one embodiment of the device, first is preset
Threshold value is arranged to 70%, if all similarities with reference between resume and resume to be identified in resume storehouse are respectively less than 70%,
It is true resume then to think resume to be identified, has in Ruo Jianliku and is more than with reference to the similarity between resume and resume to be identified
70%, then it is assumed that resume to be identified is fraud resume, and is identical resume with resume of the resume similarity to be identified more than 70%.
Further, after judging that resume to be identified is faked, prompt message can be sent to the second default node, it is described to carry
Show the ginseng for including the resume to be identified in information and being more than the first predetermined threshold value with the similarity of the resume to be identified
Examine resume, that is to say, that after recognizing the resume and faking, the resume and above-mentioned identical resume can be sent to second and preset
Node, in certain embodiments, the above-mentioned second default node can be wrapped steel joint system, so that wrapped steel joint system is according to upper
Prompt message is stated to be called to account.
Or in another embodiment, processor 12 is additionally operable to perform the resume recognizer, with the judgement institute
Before stating the step of resume to be identified is true resume, following steps are also realized：
If the similarity between reference resume and the resume to be identified in the resume storehouse is respectively less than or equal to the
Whether one predetermined threshold value, then judge to have in the resume storehouse and be more than the with reference to the similarity between resume and the resume to be identified
Two predetermined threshold values, wherein, first predetermined threshold value is more than second predetermined threshold value.
If it is not, then judging that the resume to be identified is true resume, the resume to be identified is added to interview list.
If so, then the resume to be identified is sent to the first default node, so that the described first default node is to described
The authenticity of resume to be identified is judged；When receiving the confirmation that the described first default node is sent, described in judgement
Resume to be identified is true resume, and performs the described the step of resume to be identified is added into interview list.
In this embodiment, in order to improve the degree of accuracy of resume identification, the second predetermined threshold value, second predetermined threshold value are introduced
Less than the first predetermined threshold value.For example, the second predetermined threshold value can be 50%, that is to say, that have in Ruo Jianliku with reference to resume with
Similarity between resume to be identified is more than 50% and less than or equal to 70%, then by resume to be identified and with resume to be identified it
Between similarity be more than 50% and reference the resume less than or equal to 70% is sent to the first default node, default save for first
Point is determined whether.Wherein, the first default node can be interviewee's node；Furthermore, it is possible in resume to be identified
Identify with being sent to interviewee after referring to keyword with reference to resume identical, so that interviewee is to the true of these resumes
Property it is further judged, can be to this reality if the first default node is true resume by manually examining resume to be identified
The device for applying example sends confirmation, and the device judges to be identified when receiving the confirmation that the first default node is sent
Resume is true resume, and is performed the resume to be identified added to the step of interview list.It is understood that described
The numerical value of one predetermined threshold value and the second predetermined threshold value is merely illustrative, and in other embodiments, user can set as needed
It is set to other numerical value.
The resume identification device that the present embodiment proposes, the entry contents for belonging to default entry are obtained from resume to be identified,
The entry contents of acquisition are subjected to Keywords matching with the entry contents with reference to identical default bar in resume now, wait to know to calculate
Similarity between other resume and reference resume；It is all equal with reference to the similarity between resume and resume to be identified in Ruo Jianliku
Less than or equal to the first predetermined threshold value, then it is true resume to judge resume to be identified, otherwise judges resume to be identified to fake
Resume, the embodiment are identified to whether resume fakes before interview by such scheme, the resume of fraud are filtered out,
It will be determined as that real resume added to interviewing in list, improves interview efficiency, reduces the waste of interview resource, reduction customs and morals of the people
Danger.
Alternatively, in other examples, resume recognizer can also be divided into one or more module, and one
Individual or multiple modules are stored in memory 11, and are held by one or more processors (the present embodiment is by processor 12)
For row to complete the present invention, the module alleged by the present invention is the series of computation machine programmed instruction section for referring to complete specific function,
For describing implementation procedure of the resume recognizer in resume identification device.
It is the function mould of the resume recognizer in the embodiment of resume identification device one of the present invention for example, referring to shown in Fig. 2
Block schematic diagram, in the embodiment, resume recognizer can be divided into acquisition module 10, computing module 20, identification module 30
With judge module 40, exemplarily：
Acquisition module 10 is used for：The entry contents for belonging to default entry are obtained from resume to be identified；
Computing module 20 is used for：By the entry of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now
Content carries out Keywords matching, to calculate the similarity between the resume to be identified and reference resume；
Identification module 30 is used for：Judge whether all with reference between resume and the resume to be identified in the resume storehouse
Similarity be respectively less than or equal to the first predetermined threshold value；
Judge module 40 is used for：It is if all with reference to similar between resume and the resume to be identified in the resume storehouse
Degree is respectively less than or equal to the first predetermined threshold value, then it is true resume to judge the resume to be identified, and by the resume to be identified
Added to interview list；
And it is more than described first with reference to the similarity between resume and the resume to be identified if having in the resume storehouse
Predetermined threshold value, then judge the resume to be identified for fraud resume.
Above-mentioned acquisition module 10, computing module 20, identification module 30 and judge module 40 be performed realized function or
Operating procedure is substantially the same with above-described embodiment, will not be repeated here.
In addition, the present invention also provides a kind of resume recognition methods.It is resume recognition methods of the present invention the shown in reference picture 3
The flow chart of one embodiment.
In the present embodiment, resume recognition methods includes：
Step S10, the entry contents for belonging to default entry are obtained from resume to be identified.
Step S20, the entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are entered
Row Keywords matching, to calculate the similarity between the resume to be identified and reference resume.
The method that the present embodiment proposes can be performed by a device, and the device can be realized by software and/or hardware.Dress
Put and send the resume of outsourcing service provider to the device according to personnel demand information with wrapped steel joint system docking, wrapped steel joint system,
After the device receives above-mentioned resume, using above-mentioned resume as resume to be identified, it is identified, will identifies to whether resume fakes
The resume of the fraud gone out filters out, and retains the true resume identified.
It should be noted that being stored with resume storehouse in said apparatus, have in the resume storehouse it is multiple refer to resume, wherein,
With reference to the resume that on-the-job personnel can be derived from reference to resume.The device can be handled for existing resume, be fabricated to
With reference to resume storage into resume storehouse, as the benchmark whether faked of resume for judging the upload of wrapped steel joint system.Join making
When examining resume, resume template is set, includes multiple default entries, such as work experience, project experiences, reality in the resume template
Experience and training experience etc. are practised, according to the existing resume of resume template typing, and in typing resume, to extract keyword
Mode typing, rather than the content whole typing by bar now.
Specifically, this method also comprises the following steps：
Extraction keyword, which is used as, from each default entry of the resume of upload refers to keyword；Keyword is referred to by described
After corresponding default entry association, generation is stored to the resume storehouse with reference to resume.Wherein, entry contents are showed into use
Family, keyword is manually selected by user, receive the keyword of user's selection as keyword is referred to, it is associated with default entry
Storage.Further, it is also possible to which resume template is supplied into wrapped steel joint system, supplier passes through resume template typing outsourcing service provider
Resume and upload.
When resume to be identified is matched with the resume in resume storehouse, obtained from resume to be identified and belong to default bar
Purpose entry contents, such as work experience this default entry, obtain in resume and belong to the entry contents of this now, according to letter
The resume storage order gone through in storehouse is matched one by one, calculates each with reference to similar between resume and resume to be identified
Degree.Because the number for belonging to default entry in the resume of outsourcing service provider is not known, for example, can in the resume of some outsourcing service providers
It can include work experience, project experiences, practice experience and multiple default entries such as training experience, and some outsourcing service providers
May only have work experience or practice to undergo this default entry, therefore, the above-mentioned calculating side on similarity in resume
Method can use different computational methods according to the quantity of the default entry in resume to be identified.
For example, the entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are closed
Keyword matches, to include the step of calculating the resume to be identified and each similarity with reference between resume：Obtain with reference to letter
Reference keyword and the total quantity with reference to keyword that bar includes now are preset in going through；Calculate the described pre- of the resume to be identified
If accounting of the keyword quantity in the total quantity under the entry contents of entry, using the accounting as the letter to be identified
Go through with this refer to resume between similarity.
For example, only including work experience in resume to be identified, this presets entry, then obtains to refer to and bar is preset in resume
Keyword is referred to corresponding to mesh, and determines its total quantity N, judges that this default bar of the work experience of resume to be identified includes now
Have it is several it is above-mentioned refer to keyword, accounting of the number being calculated in total quantity N, using accounting as resume to be identified with should
With reference to the similarity between resume.
In other embodiments, the entry contents by acquisition are with referring to the identical default bar of resume now in resume storehouse
Entry contents carry out Keywords matching, to be wrapped the step of calculating the resume to be identified and each similarity with reference between resume
Include：When including multiple default entries in the resume to be identified, obtain and refer to what each default bar in resume included now
With reference to the quantity of keyword；Calculate respectively the keyword quantity that each default bar includes now account for the default entry keyword it is total
The ratio of quantity, and weight corresponding to each default entry is obtained, wherein, weight sum corresponding to the multiple default entry is
1；According to the ratio and the weight corresponding to each default entry, the resume to be identified and institute are calculated according to weighting algorithm
State with reference to the similarity between resume.User can be weight corresponding to it is set according to the significance level of default entry, count
After calculation obtains accounting corresponding to each default entry, with reference to the weight pre-set, calculate resume to be identified and refer to resume with this
Between similarity.
Step S30, judge whether all with reference to similar between resume and the resume to be identified in the resume storehouse
Degree is respectively less than or equal to the first predetermined threshold value.
Step S40, if so, then judging that the resume to be identified is true resume, and the resume to be identified is added to
Interview list.
Step S50, if it is not, then judging the resume to be identified for fraud resume.
After all similarities with reference between resume being calculated in resume and resume storehouse to be identified, according to setting in advance
The first predetermined threshold value put judges whether resume to be identified fakes.For example, in one embodiment of the device, first is preset
Threshold value is arranged to 70%, if all similarities with reference between resume and resume to be identified in resume storehouse are respectively less than 70%,
It is true resume then to think resume to be identified, has in Ruo Jianliku and is more than with reference to the similarity between resume and resume to be identified
70%, then it is assumed that resume to be identified is fraud resume, and is identical resume with resume of the resume similarity to be identified more than 70%.
Further, after judging that resume to be identified is faked, prompt message can be sent to the second default node, it is described to carry
Show the ginseng for including the resume to be identified in information and being more than the first predetermined threshold value with the similarity of the resume to be identified
Examine resume, that is to say, that after recognizing the resume and faking, the resume and above-mentioned identical resume can be sent to second and preset
Node, in certain embodiments, the above-mentioned second default node can be wrapped steel joint system, so that wrapped steel joint system is according to upper
Prompt message is stated to be called to account.
Or in another embodiment, before the step of judgement resume to be identified is true resume, the party
Method also comprises the following steps：
If the similarity between reference resume and the resume to be identified in the resume storehouse is respectively less than or equal to the
Whether one predetermined threshold value, then judge to have in the resume storehouse and be more than the with reference to the similarity between resume and the resume to be identified
Two predetermined threshold values, wherein, first predetermined threshold value is more than second predetermined threshold value.
If it is not, then judging that the resume to be identified is true resume, the resume to be identified is added to interview list；If
Be, then by the resume to be identified, and similarity between the resume to be identified be more than second predetermined threshold value and
Reference resume less than or equal to first predetermined threshold value is sent to the second default node.
In this embodiment, in order to improve the degree of accuracy of resume identification, the second predetermined threshold value, second predetermined threshold value are introduced
Less than the first predetermined threshold value.For example, the second predetermined threshold value can be 50%, that is to say, that have in Ruo Jianliku with reference to resume with
Similarity between resume to be identified is more than 50% and less than or equal to 70%, then by the resume to be identified and with the letter to be identified
Similarity between going through is more than 50% and reference the resume less than or equal to 70% sends to first and presets node, for first pre-
If node is determined whether.Wherein, the first default node can be interviewee's node；Furthermore, it is possible in letter to be identified
Identified in going through with being sent to interviewee after referring to keyword with reference to resume identical, so that interviewee is to these resumes
Authenticity is further to be judged, can be to if the first default node is true resume by manually examining resume to be identified
The device of the present embodiment sends confirmation, and the device judges to treat when receiving the confirmation that the first default node is sent
Identification resume is true resume, and is performed the resume to be identified added to the step of interview list.It is understood that institute
The numerical value for stating the first predetermined threshold value and the second predetermined threshold value is merely illustrative, and in other embodiments, user can be according to need
It is arranged to other numerical value.
The resume recognition methods that the present embodiment proposes, the entry contents for belonging to default entry are obtained from resume to be identified,
The entry contents of acquisition are subjected to Keywords matching with the entry contents with reference to identical default bar in resume now, wait to know to calculate
Similarity between other resume and reference resume；It is all equal with reference to the similarity between resume and resume to be identified in Ruo Jianliku
Less than or equal to the first predetermined threshold value, then it is true resume to judge resume to be identified, otherwise judges resume to be identified to fake
Resume, the embodiment are identified to whether resume fakes before interview by such scheme, the resume of fraud are filtered out,
It will be determined as that real resume added to interviewing in list, improves interview efficiency, reduces the waste of interview resource, reduction customs and morals of the people
Danger.
In addition, the embodiment of the present invention also proposes a kind of computer-readable recording medium, the computer-readable recording medium
On be stored with resume recognizer, the resume recognizer can be executed by one or more processors, to realize following operation：
The entry contents for belonging to default entry are obtained from resume to be identified；
The entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are subjected to keyword
Matching, to calculate the similarity between the resume to be identified and reference resume；
Judge whether that all similarities with reference to resume between the resume to be identified in the resume storehouse are respectively less than
Or equal to the first predetermined threshold value；
If so, then judging that the resume to be identified is true resume, and the resume to be identified is added to interview list；
If it is not, then judge the resume to be identified for fraud resume.
Further, following operation is also realized when the resume recognizer is executed by processor：
Obtain reference keyword and the total quantity with reference to keyword for referring to and presetting that bar includes now in resume；
The keyword quantity under the entry contents of the default entry of the resume to be identified is calculated in the total quantity
In accounting, using the accounting as the resume to be identified and this refer to resume between similarity.
Further, following operation is also realized when the resume recognizer is executed by processor：
When including multiple default entries in the resume to be identified, obtain and wrapped now with reference to each default bar in resume
The quantity of the reference keyword contained；
The ratio that the keyword quantity that each default bar includes now accounts for the keyword total quantity of the default entry is calculated respectively
Example, and weight corresponding to each default entry is obtained, wherein, weight sum corresponding to the multiple default entry is 1；
According to the ratio and the weight corresponding to each default entry, the letter to be identified is calculated according to weighting algorithm
Go through and the similarity with reference between resume.
Further, following operation is also realized when the resume recognizer is executed by processor：
If the similarity between reference resume and the resume to be identified in the resume storehouse is respectively less than or equal to the
Whether one predetermined threshold value, then judge to have in the resume storehouse and be more than the with reference to the similarity between resume and the resume to be identified
Two predetermined threshold values, wherein, first predetermined threshold value is more than second predetermined threshold value；
If it is not, then judging that the resume to be identified is true resume, the resume to be identified is added to interview list；
If so, then the resume to be identified is sent to the first default node, so that the described first default node is to described
The authenticity of resume to be identified is judged；When receiving the confirmation that the described first default node is sent, described in judgement
Resume to be identified is true resume, and performs the described the step of resume to be identified is added into interview list.
It should be noted that the embodiments of the present invention are for illustration only, the quality of embodiment is not represented.And
Term " comprising " herein, "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that bag
To include process, device, article or the method for a series of elements not only include those key elements, but also including being not expressly set out
Other element, or also include for this process, device, article or the intrinsic key element of method.Do not limiting more
In the case of, the key element that is limited by sentence "including a ...", it is not excluded that in the process including the key element, device, article
Or other identical element in method also be present.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words
Going out the part of contribution can be embodied in the form of software product, and the computer software product is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone,
Computer, server, or network equipment etc.) perform method described in each embodiment of the present invention.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of resume identification device, it is characterised in that described device includes memory and processor, is stored on the memory
There is the resume recognizer that can be run on the processor, the resume recognizer is realized such as during the computing device
Lower step：
The entry contents for belonging to default entry are obtained from resume to be identified；
The entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are subjected to Keywords matching,
To calculate the similarity between the resume to be identified and reference resume；
Judge whether that all similarities with reference to resume between the resume to be identified in the resume storehouse are respectively less than or waited
In the first predetermined threshold value；
If so, then judging that the resume to be identified is true resume, and the resume to be identified is added to interview list；
If it is not, then judge the resume to be identified for fraud resume.
2. resume identification device according to claim 1, it is characterised in that the entry contents by acquisition and resume storehouse
The middle entry contents with reference to the identical default bar of resume now carry out Keywords matching, to calculate the resume to be identified and each ginseng
The step of examining the similarity between resume includes：
Obtain reference keyword and the total quantity with reference to keyword for referring to and presetting that bar includes now in resume；
The keyword quantity under the entry contents of the default entry of the resume to be identified is calculated in the total quantity
Accounting, using the accounting as the resume to be identified and this refer to resume between similarity.
3. resume identification device according to claim 1, it is characterised in that the entry contents by acquisition and resume storehouse
The middle entry contents with reference to the identical default bar of resume now carry out Keywords matching, to calculate the resume to be identified and each ginseng
The step of examining the similarity between resume includes：
When including multiple default entries in the resume to be identified, obtain and refer to what each default bar in resume included now
With reference to the quantity of keyword；
The ratio that the keyword quantity that each default bar includes now accounts for the keyword total quantity of the default entry is calculated respectively, and
Weight corresponding to each default entry is obtained, wherein, weight sum corresponding to the multiple default entry is 1；
According to the ratio and the weight corresponding to each default entry, according to weighting algorithm calculate the resume to be identified with
The similarity with reference between resume.
4. the resume identification device according to Claims 2 or 3, it is characterised in that the processor is additionally operable to described in execution
Resume recognizer, before the judgement resume to be identified is the step of true resume, also to realize following steps：
If the similarity between reference resume and the resume to be identified in the resume storehouse is respectively less than or pre- equal to first
If threshold value, then judge whether to have in the resume storehouse that to be more than second with reference to the similarity between resume and the resume to be identified pre-
If threshold value, wherein, first predetermined threshold value is more than second predetermined threshold value；
If it is not, then judging that the resume to be identified is true resume, the resume to be identified is added to interview list；
If so, then the resume to be identified is sent to the first default node, so that the described first default node is waited to know to described
The authenticity of other resume is judged；When receiving the confirmation that the described first default node is sent, wait to know described in judgement
Other resume is true resume, and performs the described the step of resume to be identified is added into interview list.
5. resume identification device according to claim 4, it is characterised in that the processor is additionally operable to perform the resume
Identification device, to realize following steps：
Extraction keyword, which is used as, from each default entry of the resume of upload refers to keyword；
By the reference keyword with after corresponding default entry association, generating and being stored with reference to resume to the resume storehouse.
6. a kind of resume recognition methods, it is characterised in that the resume recognition methods includes：
The entry contents for belonging to default entry are obtained from resume to be identified；
The entry contents of the entry contents of acquisition default bar identical with referring to resume in resume storehouse now are subjected to Keywords matching,
To calculate the similarity between the resume to be identified and reference resume；
Judge whether that all similarities with reference to resume between the resume to be identified in the resume storehouse are respectively less than or waited
In the first predetermined threshold value；
If so, then judging that the resume to be identified is true resume, and the resume to be identified is added to interview list；
If it is not, then judge the resume to be identified for fraud resume.
7. resume recognition methods according to claim 6, it is characterised in that the entry contents by acquisition and resume storehouse
The middle entry contents with reference to the identical default bar of resume now carry out Keywords matching, to calculate the resume to be identified and each ginseng
The step of examining the similarity between resume includes：
Obtain reference keyword and the total quantity with reference to keyword for referring to and presetting that bar includes now in resume；
The keyword quantity under the entry contents of the default entry of the resume to be identified is calculated in the total quantity
Accounting, using the accounting as the resume to be identified and this refer to resume between similarity.
8. resume recognition methods according to claim 6, it is characterised in that the entry contents by acquisition and resume storehouse
The middle entry contents with reference to the identical default bar of resume now carry out Keywords matching, to calculate the resume to be identified and each ginseng
The step of examining the similarity between resume includes：
When including multiple default entries in the resume to be identified, obtain and refer to what each default bar in resume included now
With reference to the quantity of keyword；
The ratio that the keyword quantity that each default bar includes now accounts for the keyword total quantity of the default entry is calculated respectively, and
Weight corresponding to each default entry is obtained, wherein, weight sum corresponding to the multiple default entry is 1；
According to the ratio and the weight corresponding to each default entry, according to weighting algorithm calculate the resume to be identified with
The similarity with reference between resume.
9. the resume recognition methods according to claim 7 or 8, it is characterised in that the processor is additionally operable to described in execution
Resume recognizer, before the judgement resume to be identified is the step of true resume, also to realize following steps：
If the similarity between reference resume and the resume to be identified in the resume storehouse is respectively less than or pre- equal to first
If threshold value, then judge whether to have in the resume storehouse that to be more than second with reference to the similarity between resume and the resume to be identified pre-
If threshold value, wherein, first predetermined threshold value is more than second predetermined threshold value；
If it is not, then judging that the resume to be identified is true resume, the resume to be identified is added to interview list；
If so, then the resume to be identified is sent to the first default node, so that the described first default node is waited to know to described
The authenticity of other resume is judged；
When receiving the confirmation that the described first default node is sent, judge that the resume to be identified is true resume, and
Perform the described the step of resume to be identified is added to interview list.
10. a kind of computer-readable recording medium, it is characterised in that resume knowledge is stored with the computer-readable recording medium
Other program, the resume recognizer can be by one or more computing devices, to realize as any in claim 6 to 9
Described in resume recognition methods the step of.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710876431.8A CN107870976A (en) | 2017-09-25 | 2017-09-25 | Resume identification device, method and computer-readable recording medium |
| PCT/CN2018/089188 WO2019056793A1 (en) | 2017-09-25 | 2018-05-31 | Device, method, and computer readable storage medium for identifying resume |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710876431.8A CN107870976A (en) | 2017-09-25 | 2017-09-25 | Resume identification device, method and computer-readable recording medium |
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| CN107870976A true CN107870976A (en) | 2018-04-03 |
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| WO (1) | WO2019056793A1 (en) |
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