CN102855543B - The delivering method of resume and system - Google Patents
The delivering method of resume and system Download PDFInfo
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- CN102855543B CN102855543B CN201210275335.5A CN201210275335A CN102855543B CN 102855543 B CN102855543 B CN 102855543B CN 201210275335 A CN201210275335 A CN 201210275335A CN 102855543 B CN102855543 B CN 102855543B
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Abstract
The present invention discloses a kind of delivering method and system of resume, and the method comprises the following steps: mobile terminal, by the pictorial information with job hunting information, uploads onto the server; Server is resolved described pictorial information, and the job hunting information after resolving is stored in the database of server.Pictorial information with job hunting information is uploaded onto the server by mobile terminal by the present invention, this pictorial information is after the picture and text identification of server, be stored in database server, thus generate online resume, solve the troublesome operation at over-network registration resume in prior art, look for a job to the people that cannot be undertaken hunting for a job by desktop computer and provide a great convenience.<!--1-->
Description
Technical field
The present invention relates to field of wireless, particularly relate to a kind of delivering method and system of resume.
Background technology
Mobile Internet makes user at any time and any place, can both pass through mobile phone accessing Internet, obtain the information oneself wanted.Especially a part often go out projects technician, sales force, business people, senior executive, they rush about, and not have fixing desktop online condition, surfing Internet with cell phone can only be selected to find the information of their needs.
Surfing Internet with cell phone has been looked for a job a defect, is exactly that mobile phone input is very inconvenient.During special registration resume, the information such as individual essential information, work experience, education experience, individual speciality are completed whole, need long time.But these personnel very major part can print oneself resume, during registration resume, need again to re-enter, repeat to add workload.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of delivering method of resume, is intended to solve the technical matters in the troublesome operation of over-network registration resume in prior art, looks for a job to the people that cannot be undertaken hunting for a job by desktop computer and provides a great convenience.
The invention provides a kind of delivering method of resume, comprise the following steps:
Mobile terminal, by the pictorial information with job hunting information, uploads onto the server;
Server is resolved described pictorial information, and the job hunting information after resolving is stored in the database of server.
Preferably, described server is resolved described pictorial information, and also comprises after being stored in the database of server according to the job hunting information after parsing:
Attributive analysis is carried out to the job hunting information stored in database, and carries out position coupling according to the attribute after analyzing, and matching result is sent to mobile terminal.
Preferably, described matching result is sent to mobile terminal before also comprise:
Jason or XML format coding are carried out to described matching result.
Preferably, described mobile terminal, by the pictorial information with job hunting information, uploads onto the server and specifically comprises:
Mobile terminal calls camera, obtains the pictorial information with job hunting information;
After cutting process is carried out to described pictorial information, uploaded onto the server.
Preferably, described server is resolved described pictorial information and is specifically comprised:
Server calls at least two picture and text identification facility identifies described pictorial information respectively;
Recognition result is compared, and the history correction database put by the recognition result that there are differences to server carries out history correction, obtains the job hunting information after resolving.
Invention further provides a kind of delivery system of resume, comprising:
Mobile terminal, for by the pictorial information with job hunting information, uploads onto the server;
Server, for resolving described pictorial information, and is stored to the job hunting information after resolving in the database of server.
Preferably, described server also for:
Attributive analysis is carried out to the job hunting information stored in database, and carries out position coupling according to the attribute after analyzing, and matching result is sent to mobile terminal.
Preferably, described server also for:
Matching result is being sent between mobile terminal, Jason or XML format coding are being carried out to described matching result.
Preferably, described mobile terminal specifically for:
Mobile terminal calls camera, obtains the pictorial information with job hunting information;
After cutting process is carried out to described pictorial information, uploaded onto the server.
Preferably, described server also specifically for:
Server calls at least two picture and text identification facility identifies described pictorial information respectively;
Recognition result is compared, and the history correction database put by the recognition result that there are differences to server carries out history correction, obtains the job hunting information after resolving.
Pictorial information with job hunting information is uploaded onto the server by mobile terminal by the present invention, this pictorial information is after the picture and text identification of server, be stored in database server, thus generate online resume, solve the troublesome operation at over-network registration resume in prior art, look for a job to the people that cannot be undertaken hunting for a job by desktop computer and provide a great convenience.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of delivering method one embodiment of resume of the present invention;
Fig. 2 is the schematic flow sheet of another embodiment of delivering method of resume of the present invention;
Fig. 3 is that in the delivering method of resume of the present invention, mobile terminal uploads picture with job hunting information to the schematic flow sheet of server;
Fig. 4 is the schematic flow sheet that in the delivering method of resume of the present invention, server is resolved the picture with job hunting information;
Fig. 5 is the structural representation of delivery system one embodiment of resume of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Technical scheme of the present invention is further illustrated below in conjunction with Figure of description and specific embodiment.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Due to the development of mobile communication, present people can use mobile phone, sign in recruitment website look for a job by mobile Internet.But the screen of mobile phone, network speed and stream quantitative limitation, make people use convenient not.Therefore, the present invention proposes a kind of delivering method of resume, taken pictures by the resume of mobile terminal by paper, generating pictures information, then uploaded onto the server; This server has picture and text recognition function, can resolve pictorial information, and by the job hunting information corresponding stored after parsing in the database of recruitment website, to generate the resume that recruitment website is registered.
With reference to the schematic flow sheet that Fig. 1, Fig. 1 are delivering method one embodiments of resume of the present invention.The delivering method of this resume comprises the following steps:
Step S10, mobile terminal, by the pictorial information with job hunting information, upload onto the server;
Mobile terminal is provided with camera, for taking pictures to the resume of paper; This mobile terminal also can have picture-storage function simultaneously, for being stored with the picture of job hunting information.When user need by mobile Internet sign in recruitment website is looked for a job time, by camera, paper resume can be taken pictures, to obtain the picture with job hunting information, and by this picture uploading to the server with picture and text recognition function.Meanwhile, by camera take pictures obtain picture can store on mobile terminals so that next time use.This picture also by obtaining after the scanning of paper resume, and can store on mobile terminals, thus the picture captured by the camera of mobile terminal can be avoided clear not and affect picture and text recognition effect.
Step S20, server are resolved described pictorial information, and the job hunting information after resolving are stored in the database of server.
This server is provided with picture and text identification facility, can carry out picture and text identification to pictorial information, and obtains information of hunting for a job accordingly, then is stored in the background data base of recruitment website, thus completes the resume registration of recruitment website and supplementing of job hunting information.
Pictorial information with job hunting information is uploaded onto the server by mobile terminal by the embodiment of the present invention, this pictorial information is after the picture and text identification of server, be stored in database server, thus generate online resume, solve the technical matters in the troublesome operation of over-network registration resume in prior art, look for a job to the people that cannot be undertaken hunting for a job by desktop computer and provide a great convenience.
Further, with reference to Fig. 2, also comprise after above-mentioned steps S20:
Step S30, attributive analysis is carried out to the job hunting information stored in database, and carry out position coupling according to the attribute after analyzing, and matching result is sent to mobile terminal.
Attribute important in job hunting information generally comprises: name, sex, date of birth, age, existing residence, graduation universities and colleges, graduation time, educational background, specialty, length of service, purpose position, purpose area, work experience, education experience, technical ability speciality, personal evaluation, personal certificate, phone, address, email etc.This attributive analysis can comprise two kinds:
Fuzzy analysis, after carrying out Text region, due to the not fogging reason such as clear, may cause mess code, therefore need to carry out fuzzy analysis to it.Such as when analyzing " phone " attribute, can analyze by " electricity " or by " words " or relevant key word, going out " phone " attribute finally by comparative analysis;
Classification analysis, such as, when analyzing " phone " attribute, carries out the analysis of related keywords such as " phone, mobile phone, phone, numbers ".If mobile phone detected, be included into " phone " attribute, the attribute that detects that number is also included into " phone ".
Above-mentioned two attribute methods both can use or select separately a kind of use jointly.After attributive analysis completes, then carry out position search by " purpose position " attribute that analyzes and/or " purpose area " attribute and mate, obtaining matching result.
If there is no " purpose position " attribute or " purpose area " attribute in the attribute analyzed, or when carrying out position search coupling according to " purpose position " attribute and/or " purpose area " attribute and there is no that the match is successful, then according to " work experience " attribute in attribute, carry out position search and mate, obtaining matching result.
When the match is successful if still do not have when not having " work experience " attribute in above-mentioned attribute or carry out position search coupling according to " work experience " attribute, then extract attribute information by phrase frequency analysis method.Phrase frequency analysis: main employing game theory algorithm, is raised the efficiency by Min-max and various pruning method and determines maximum frequency phrase, and carry out position search to change maximum frequency phrase and mate, obtaining matching result.
In sum, this kind of resume analytical approach to a certain degree reaches artificial intelligence and significantly promotes the correctness of position search coupling.
Further, in above-mentioned steps S30, also comprise before matching result is sent to mobile terminal: Jason or XML format coding are carried out to described matching result.
Particularly, due to the otherness of mobile terminal, so before matching result is sent to mobile terminal, needs to encode to matching result, shield the otherness of mobile terminal with this.Its coded system mainly comprises XML or Jason said shank.Because XML or Jason said shank is international coded system, so adopt these data encodings both can simplify development difficulty, various equipment can be allowed again to accomplish seamless link.
Further, with reference to Fig. 3, above-mentioned steps S10 specifically comprises:
Step S11, mobile terminal call camera, obtain the pictorial information with job hunting information;
Step S12, cutting process is carried out to described pictorial information after, uploaded onto the server.
Call the camera of mobile terminal, generating pictures after the resume of paper is taken pictures, then can carry out cutting to picture, obtain useful picture region.Wherein also can carry out convergent-divergent to picture during cutting process, cutting size is determined in movement etc.After carrying out cutting to picture, greatly can reduce the redundancy of image data, and reduce the traffic communication expense of mobile terminal, uploading speed is also accelerated.
In addition, before pictorial information uploads onto the server, can also encode to pictorial information.Such as pictorial information carries out data encoding by Base64 coded system (by pictorial information by every 8 segmentations, and converting each segment data to decimal data).After pictorial information uploads onto the server, server is decoded to pictorial information with Base64 decoding process again.By coding, decoding process process pictorial information, its uploading speed can be accelerated further and reduce traffic communication expense, and this kind of Base64 is encoded, decoding process is simple and efficiency is high.
Further, with reference to Fig. 4, above-mentioned steps S20 specifically comprises:
Step S21, server calls at least two picture and text identification facility identify described pictorial information respectively;
Step S22, recognition result to be compared, and the history correction database recognition result that there are differences being placed server carries out history correction, obtains the job hunting information after resolving;
Step S23, by resolve after job hunting information be stored in database.
Server is provided with picture and text identification plug-in unit, such as the picture and text identification plug-in unit of current main flow: the OCR plug-in unit of Microsoft and the OCR plug-in unit of Han Wang etc.Call after multiple picture and text identification plug-in unit carries out Text region to pictorial information respectively, then the recognition result that various plug-in unit obtains is contrasted.Finally by first preservation consistent for recognition result comparison, the discrepant part of recognition result comparison is then put and carry out history correction to history correction database.When the Text region result of various plug-in unit produces difference, largely accuracy rate can be ensured by the correction of history correction database.
Particularly, store each picture and text identification facility in this history correction database and the more exact value after discriminance analysis is carried out to identical data block.Such as, a data block D1, it is " Wang " through the result that the OCR identification facility of Microsoft identifies, but is " Wang " through the result that the OCR identification facility of Han Wang identifies, now the analysis found that the real recognition result that data block D1 is corresponding is " Wang ".Therefore, the trust value of this data block D1 is the OCR identification facility of Microsoft, thus is stored in history correction database.When there is the recognition result of two or more plug-in units to identical data block D2 and there are differences, this data block D2 will be placed in history correction database and contrast, and find that the data block D1 in this data block D2 and history correction database is the most close through contrast, therefore, Microsoft's OCR identification facility that usage data block D1 is corresponding identifies data block D2, and obtains recognition result.
It should be noted that this server also only can call a kind of picture and text identification plug-in unit and carry out Text region to pictorial information, thus accelerate the speed of picture and text identification.
With reference to the structural representation that Fig. 5, Fig. 5 are delivery system one embodiments of resume of the present invention.The delivery system of this resume comprises:
Mobile terminal 10, for by the pictorial information with job hunting information, uploads onto the server 20;
Server 20, for resolving described pictorial information, and is stored to the job hunting information after resolving in the database of server 20.
Particularly, mobile terminal is provided with camera, for taking pictures to the resume of paper; This mobile terminal also can have picture-storage function simultaneously, for being stored with the picture of job hunting information.When user need by mobile Internet sign in recruitment website is looked for a job time, by camera, paper resume can be taken pictures, to obtain the picture with job hunting information, and by this picture uploading to the server with picture and text recognition function.Meanwhile, by camera take pictures obtain picture can store on mobile terminals so that next time use.This picture also by obtaining after the scanning of paper resume, and can store on mobile terminals, thus the picture captured by the camera of mobile terminal can be avoided clear not and affect picture and text recognition effect.
This server is provided with picture and text identification facility, can carry out picture and text identification to pictorial information, and obtains information of hunting for a job accordingly, then is stored in the background data base of recruitment website, thus completes the resume registration of recruitment website and supplementing of job hunting information.
Pictorial information with job hunting information is uploaded onto the server by mobile terminal by the embodiment of the present invention, this pictorial information is after the picture and text identification of server, be stored in database server, thus generate online resume, solve the troublesome operation at over-network registration resume in prior art, look for a job to the people that cannot be undertaken hunting for a job by desktop computer and provide a great convenience.
Further, described server 20 also for:
Attributive analysis is carried out to the job hunting information stored in database, and carries out position coupling according to the attribute after analyzing, and matching result is sent to mobile terminal 10.
Attribute important in job hunting information generally comprises: name, sex, date of birth, age, existing residence, graduation universities and colleges, graduation time, educational background, specialty, length of service, purpose position, purpose area, work experience, education experience, technical ability speciality, personal evaluation, personal certificate, phone, address, email etc.This attributive analysis can comprise two kinds:
Fuzzy analysis, after carrying out Text region, due to the not fogging reason such as clear, may cause mess code, therefore need to carry out fuzzy analysis to it.Such as when analyzing " phone " attribute, can analyze by " electricity " or by " words " or relevant key word, going out " phone " attribute finally by comparative analysis;
Classification analysis, such as, when analyzing " phone " attribute, carries out the analysis of related keywords such as " phone, mobile phone, phone, numbers ".If mobile phone detected, be included into " phone " attribute, the attribute that detects that number is also included into " phone ".
Above-mentioned two attribute methods both can use or select separately a kind of use jointly.After attributive analysis completes, then carry out position search by " purpose position " attribute that analyzes and/or " purpose area " attribute and mate, obtaining matching result.
If there is no " purpose position " attribute or " purpose area " attribute in the attribute analyzed, or when carrying out position search coupling according to " purpose position " attribute and/or " purpose area " attribute and there is no that the match is successful, then according to " work experience " attribute in attribute, carry out position search and mate, obtaining matching result.
When the match is successful if still do not have when not having " work experience " attribute in above-mentioned attribute or carry out position search coupling according to " work experience " attribute, then extract attribute information by phrase frequency analysis method.Phrase frequency analysis: main employing game theory algorithm, is raised the efficiency by Min-max and various pruning method and determines maximum frequency phrase, and carry out position search to change maximum frequency phrase and mate, obtaining matching result.
In sum, this kind of resume analytical approach to a certain degree reaches artificial intelligence and significantly promotes the correctness of position search coupling.
Further, described server 20 also for:
Matching result is being sent between mobile terminal 10, Jason or XML format coding are being carried out to described matching result.
Particularly, due to the otherness of mobile terminal 10, so before matching result is sent to mobile terminal 10, needs to encode to matching result, shield the otherness of mobile terminal 10 with this.Its coded system mainly comprises XML or Jason said shank.Because XML or Jason said shank is international coded system, so adopt these data encodings both can simplify development difficulty, various equipment can be allowed again to accomplish seamless link.
Further, described mobile terminal 10 specifically for:
Mobile terminal 10 calls camera, obtains the pictorial information with job hunting information;
After cutting process is carried out to described pictorial information, uploaded onto the server 20.
Call the camera of mobile terminal 10, generating pictures after the resume of paper is taken pictures, then can carry out cutting to picture, obtain useful picture region.Wherein also can carry out convergent-divergent to picture during cutting process, cutting size is determined in movement etc.After carrying out cutting to picture, greatly can reduce the redundancy of image data, and reduce the traffic communication expense of mobile terminal, uploading speed is also accelerated.
In addition, pictorial information uploads onto the server before 20, can also encode to pictorial information.Such as pictorial information carries out data encoding by Base64 coded system (by pictorial information by every 8 segmentations, and converting each segment data to decimal data).Pictorial information uploads onto the server after 20, and server 20 is decoded to pictorial information with Base64 decoding process again.By coding, decoding process process pictorial information, its uploading speed can be accelerated further and reduce traffic communication expense, and this kind of Base64 is encoded, decoding process is simple and efficiency is high.
Further, described server 20 also specifically for:
Server 20 calls at least two picture and text identification facilities and identifies described pictorial information respectively;
Recognition result is compared, and the history correction database put by the recognition result that there are differences to server 20 carries out history correction, obtains the job hunting information after resolving;
Job hunting information after resolving is stored in database.
Server 20 is provided with picture and text identification plug-in unit, such as the picture and text identification plug-in unit of current main flow: the OCR plug-in unit of Microsoft and the OCR plug-in unit of Han Wang etc.Call after multiple picture and text identification plug-in unit carries out Text region to pictorial information respectively, then the recognition result that various plug-in unit obtains is contrasted.Finally by first preservation consistent for recognition result comparison, the discrepant part of recognition result comparison is then put and carry out history correction to history correction database.When the Text region result of various plug-in unit produces difference, largely accuracy rate can be ensured by the correction of history correction database.
Particularly, store each picture and text identification facility in this history correction database and the more exact value after discriminance analysis is carried out to identical data block.Such as, a data block D1, it is " Wang " through the result that the OCR identification facility of Microsoft identifies, but is " Wang " through the result that the OCR identification facility of Han Wang identifies, now the analysis found that the real recognition result that data block D1 is corresponding is " Wang ".Therefore, the trust value of this data block D1 is the OCR identification facility of Microsoft, thus is stored in history correction database.When there is the recognition result of two or more plug-in units to identical data block D2 and there are differences, this data block D2 will be placed in history correction database and contrast, and find that the data block D1 in this data block D2 and history correction database is the most close through contrast, therefore, Microsoft's OCR identification facility that usage data block D1 is corresponding identifies data block D2, and obtains recognition result.
It should be noted that this server 20 also only can call a kind of picture and text identification plug-in unit and carry out Text region to pictorial information, thus accelerate the speed of picture and text identification.
The foregoing is only the preferred embodiments of the present invention; not thereby its scope of the claims is limited; every utilize instructions of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; directly or indirectly be used in the technical field that other are relevant, be all in like manner included in scope of patent protection of the present invention.
Claims (8)
1. a delivering method for resume, is characterized in that, comprises the following steps:
Mobile terminal, by the pictorial information with job hunting information, uploads onto the server;
Server calls at least two picture and text identification facility identifies described pictorial information respectively; Compared by the recognition result of each picture and text identification facility, consistent carrying out preserves recognition result, and the history correction database of data block input server in the pictorial information that be there are differences by each picture and text identification facility recognition result carries out history correction; Store each picture and text identification facility in described history correction database and the trust of the correspondence after discriminance analysis identification facility is carried out to identical data block, immediate data block is searched with input block in history correction database, the described correspondence stored trusts the identification facility of identification facility as input block, by the described identification facility determined, input block is identified, obtain recognition result, thus obtain the job hunting information after resolving;
Job hunting information after resolving is stored in the database of server.
2. the delivering method of resume according to claim 1, is characterized in that, described server is resolved described pictorial information, and also comprises after being stored in the database of server according to the job hunting information after parsing:
Attributive analysis is carried out to the job hunting information stored in database, and carries out position coupling according to the attribute after analyzing, and matching result is sent to mobile terminal.
3. the delivering method of resume according to claim 2, is characterized in that, described matching result is sent to mobile terminal before also comprise:
Described matching result is encoded.
4. the delivering method of resume according to claim 1, is characterized in that, described mobile terminal, by the pictorial information with job hunting information, uploads onto the server and specifically comprises:
Mobile terminal calls camera, obtains the pictorial information with job hunting information;
After cutting process is carried out to described pictorial information, uploaded onto the server.
5. a delivery system for resume, is characterized in that, comprising:
Mobile terminal, for by the pictorial information with job hunting information, uploads onto the server;
Server, respectively described pictorial information is identified for calling at least two picture and text identification facilities, the recognition result of each picture and text identification facility is compared, consistent carrying out preserves recognition result, and the history correction database of data block input server in the pictorial information that be there are differences by each picture and text identification facility recognition result carries out history correction; Store each picture and text identification facility in described history correction database and the trust of the correspondence after discriminance analysis identification facility is carried out to identical data block, immediate data block is searched with input block in history correction database, the described correspondence stored trusts the identification facility of identification facility as input block, by the described identification facility determined, input block is identified, obtain recognition result, thus obtain the job hunting information after resolving, and the job hunting information after resolving is stored in the database of server.
6. the delivery system of resume according to claim 5, is characterized in that, described server also for:
Attributive analysis is carried out to the job hunting information stored in database, and carries out position coupling according to the attribute after analyzing, and matching result is sent to mobile terminal.
7. the delivery system of resume according to claim 6, is characterized in that, described server also for:
Matching result is being sent between mobile terminal, XML format coding is being carried out to described matching result.
8. the delivery system of resume according to claim 5, is characterized in that, described mobile terminal specifically for:
Mobile terminal calls camera, obtains the pictorial information with job hunting information;
After cutting process is carried out to described pictorial information, uploaded onto the server.
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| CN106445910B (en) * | 2015-09-02 | 2019-04-12 | 深圳市一览网络股份有限公司 | A kind of document method and device for analyzing |
| CN107464099A (en) * | 2017-08-16 | 2017-12-12 | 深圳峰创智诚科技有限公司 | Position supply and demand server, the implementation method of position supply and demand |
| CN109299448B (en) * | 2018-09-12 | 2023-06-30 | 武汉轻工大学 | Resume intelligent filling method, system, server and storage medium |
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| CN102231188A (en) * | 2011-07-05 | 2011-11-02 | 上海合合信息科技发展有限公司 | Business card identifying method combining character identification with image matching |
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| DE102009031872A1 (en) * | 2009-07-06 | 2011-01-13 | Siemens Aktiengesellschaft | Method and device for automatically searching for documents in a data memory |
| CN101887519B (en) * | 2010-08-16 | 2012-04-18 | 同方知网(北京)技术有限公司 | Character recognition and modification method |
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| CN101009747A (en) * | 2007-01-10 | 2007-08-01 | 刘强 | The method for accurate digit extraction based on multiple OCR scheme combination verification |
| CN102231188A (en) * | 2011-07-05 | 2011-11-02 | 上海合合信息科技发展有限公司 | Business card identifying method combining character identification with image matching |
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