CN104252517A - Resume recommending system based on voice recognition and cloud tag - Google Patents
Resume recommending system based on voice recognition and cloud tag Download PDFInfo
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- CN104252517A CN104252517A CN201410008600.2A CN201410008600A CN104252517A CN 104252517 A CN104252517 A CN 104252517A CN 201410008600 A CN201410008600 A CN 201410008600A CN 104252517 A CN104252517 A CN 104252517A
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/16—Sound input; Sound output
- G06F3/167—Audio in a user interface, e.g. using voice commands for navigating, audio feedback
Abstract
The invention provides a resume recommending system based on voice recognition and a cloud tag. The resume recommending system comprises at least one job hunter client, at least one enterprise client and a server, wherein the job hunter client and the enterprise client are bidirectionally communicated with each other through a network and the server, the job hunter client is used for inputting a resume in a voice manner, generating a resume for a user in a tag manner and transmitting the resume to the server; the server is used for recognizing the information transmitted by the job hunter client and providing the assistance for the job hunter client to complete the edition of the resume in tag matching manner, storing the established resume and transmitting the resume to the enterprise client; the enterprise client is used for booking and processing the resume transmitted by the server. By adopting the resume recommending system based on the voice recognition and cloud tag, the job hunting and recruitment can be more rapidly and more efficiently carried out.
Description
Technical field
The present invention relates to applications of computer network field, particularly a kind of resume commending system based on speech recognition and cloud label.
Background technology
The recruitment form of current social has many types, and the recruitment mode that a kind of tradition is general is on-the-spot employment, after recruitment side receives job hunter's resume, sees and whether is applicable to company's needs, as needed the when and where of then Advise By Wire job hunter interview.Recruitment side needs to lease bunk on-site recruiting in talents market or campus in this manner, in the face of a large amount of job hunters, needs to expend a large amount of human resources in recruitment side.Other traditional recruitment forms have, after the channels such as print media, TV, broadcast inquire recruitment information, job hunter by resume send to the mailbox of recruitment person, or job hunter carries out phone job hunting etc.
Along with the development of internet is with universal, the characteristics such as network high speed and huge quantity of information, E-Recruit has become the recruitment form of current main-stream.In current E-Recruit, job hunter needs to make resume according to the requirement of each website or company, then delivers resume to different websites or company.Compared with traditional employment mode, current E-Recruit form relative efficiency is with quick.
But, current E-Recruit form still needs job hunter to search the position met with oneself in the various website that quantity of information is very large, according to the difference of recruitment side's recruitment information, utilize keyboard to write and input oneself resume, and repeatedly deliver resume to different websites or company and carry out a lot of duplication of labour, waste the time of job hunter.And, under this employment mode, need job hunter that keyboard and input method can be used to carry out writing resume, and some crowd cannot throw in resume in this way owing to can not use keyboard and input rule. simultaneously under the rhythm of life and work rhythm of high frequency, also there is certain group of people and wish to carry out writing of resume in the mode of more convenient and quicker and to deliver.
Therefore, need one resume commending system more easily, realize E-Recruit conveniently and efficiently.
Summary of the invention
The object of this invention is to provide a kind of resume commending system based on speech recognition and cloud label.Described system comprises at least one job hunter's client, at least one enterprise client and server, described job hunter's client and described enterprise client carry out two-way communication between network and described server, described job hunter's client is used for making user input resume with voice mode, and generates resume by the mode of labeling for user and be sent to described server; Described server, for identifying the information sent from described job hunter's client and providing the mode of tag match to assist described job hunter's client to complete writing of resume, stores described foundation and sends described resume to described enterprise client; And described enterprise client is for subscribing to and processing the resume sent from described server.
Preferably, described job hunter's client comprises pseudo-man-machine conversation module, sound identification module, information point adjusting module, tag generation module, resume template recommending module, resume synthesis module, resume sending module and I/O interface, wherein, described pseudo-man-machine conversation module is used for guiding user to complete making and the transmission of resume by the information of prompt text or suggestion voice; Described sound identification module carries out speech recognition at least one voice messaging that user inputs and draws not to the preliminary voice identification result that user shows, and sends it to described server and carry out information matches; Described information point adjusting module adjusts the matching result received from described server, and is sent to described tag generation module and resume synthesis module by the Word message point through adjustment; The Word message adjusted through user point is sent to described server and mates by described tag generation module, and by the label of feedback composition label bag, and send it to described resume template recommending module and described resume synthesis module; Described resume template recommending module, according to the label bag received from described tag generation module, recommends alternative resume template to user, and the resume masterplate that user selects is sent to described resume synthesis module; Described resume synthesis module is by the resume template selected by user and carry out combination to generate complete resume from the Word message point after described server matches, and the label stealth from described label generation unit is attached in complete resume, and complete resume is sent to resume sending module; Complete resume from described resume synthesis module is uploaded to described server by described resume sending module; Described I/O interface is used for input and output voice and Word message.
Preferably, described server comprises: information point matching module, and it carries out information point coupling to the preliminary voice identification result from described job hunter's client, and the information point after coupling is fed back to described job hunter's client; Tag match module, it receives the Word message point through user's adjustment from described job hunter's client, and carries out tag match to it, and matching result is fed back to described job hunter's client; Resume inventory, for storing the resume submitted to from described job hunting client; Resume sending module, it is according to the subscription label submitted to from described enterprise client, sends meeting the resume subscribing to label in described resume inventory to described enterprise client.
Preferably, described enterprise client comprises: resume subscribing module, arranges and subscribes to label and it sent to described server, subscribe to the resume of the subscription label comprised set by enterprise customer for enterprise customer; Local resume storehouse, for storing resume, and receives the resume sent from described server; Resume is checked and processing module, for checking the resume in local resume storehouse and process.
Preferably, the mode of user's adjustment information point in described information point adjusting module is at least one in following two kinds of modes: recommend to select in multiple information point to the described information point matching module by described server, and user manually re-enters information point.
Preferably, adjustment process is sent to described server by described information point adjusting module, makes described server carry out perfect to from preliminary voice identification result to the matching process of information point.
Preferably, described job hunter's client also comprises additional information typing module, and it is for typing additional information and described additional information be added in described complete resume.
Preferably, described additional information is selected from least one in additional voice messaging, user basic information and user's geographical location information, and described user's geographical location information manually can be inputted by user or automatically gathered by described additional information typing module.
Preferably, complete resume one key is sent to each job hunting website or is specified by micro-letter/microblogging and sends complete resume by described resume sending module.
Preferably, described information point matching module, when can not find the information point content corresponding to voice identification result, returns multiple fuzzy matching information point to user and selects for user.
According to the resume commending system based on speech recognition and cloud label of the present invention, can solve and can not use keyboard and input method due to some crowd thus the problem of resume cannot be write smoothly, further, achieving one makes job hunter user and enterprise customer can both carry out hunting for a job and recruiting in faster more efficient mode.
Accompanying drawing explanation
With reference to the accompanying drawing of enclosing, the following description by embodiment of the present invention is illustrated by the more object of the present invention, function and advantage, wherein:
Fig. 1 diagrammatically illustrates the block diagram of a kind of resume commending system based on speech recognition and cloud label of the present invention.
Fig. 2 diagrammatically illustrates the process sequential chart in the present invention between job hunter's client and server.
Fig. 3 diagrammatically illustrates the process sequential chart in the present invention between enterprise client and server.
Embodiment
By reference to one exemplary embodiment, object of the present invention and function and the method for realizing these objects and function will be illustrated.But the present invention is not limited to following disclosed one exemplary embodiment; Can be realized it by multi-form.The essence of instructions is only help various equivalent modifications Integrated Understanding detail of the present invention.
Hereinafter, embodiments of the invention will be described with reference to the drawings.In the accompanying drawings, identical Reference numeral represents same or similar parts, or same or similar step.
Fig. 1 diagrammatically illustrates the block diagram of a kind of resume commending system based on speech recognition and cloud label of the present invention.Described system comprises at least one job hunter's client 110, at least one enterprise client 130 and server 120.Described job hunter's client 110 inputs resume for making user with voice mode, and generates resume by the mode of labeling for user and be sent to described server 120; Described server 120, for identifying the information sent from described job hunter's client and providing the mode of tag match to assist described job hunter's client to complete writing of resume, stores described foundation and sends described resume to described enterprise client; Enterprise client 130, for subscribing to and processing the resume sent from described server.
Preferably, server 120 is Cloud Server.Cloud Server is the important component part of cloud computing service, is the service platform providing integrated service ability towards all kinds of Internet user, data are managed concentratedly, allows all terminal users share a main frame.The large key element of the traditional internet, applications three of Platform integration: calculate, store, network, user oriented provides the internet infrastructure service of publicization.
Job hunter's client 110 and enterprise client 130 can be passed through between the network of any type and server 120 and carry out two-way communication.Described network such as comprises the wide area network (" WAN ") of the LAN (Local Area Network) (" LAN ") of such as Intranet and so on and such as internet and so on.Network can be configured to support to utilize various protocols to arrange the transmission of the information of form.In addition, network can be public network, dedicated network or its combination.Network can also utilize any one or polytype physical medium to realize, comprising the wired communication path be associated with multiple service provider and wireless communications path.Communication is WiFi or WLAN, GPRS, cellular network such as, such as GSM network, 3G network, LTE network or cdma network, bluetooth, near-field communication (NFC) etc.
Job hunter's client 110 and enterprise client 130 can be operate in such as desk-top computer, laptop computer, smart phone, personal digital assistant (PDA), panel computer, game machine, Multi-featured Mobile Terminal or the software form comprised on any other equipment of computing function and its communication ability to realize, as app or the software based on web, or realize with the form of specialized hardware terminal.
Job hunter's client 110 and enterprise client 130 comprise one or more computing module respectively, this one or more computing module can receive from user, and can transmission be presented, therefore job hunter's client 110 and enterprise client 130 also comprise I/O interface (reception/transmission interface) 116 and I/O interface 134 respectively, can receive one or more reception and present transmission.Such as, what receiving interface can comprise in keyboard, mouse, operating rod, trace ball, touch pad, touch-screen, screen touch pen, microphone is one or more.In addition, transmission can be presented by transmission interface, to send the control operation instruction of user or the feedback information etc. from other users.It is one or more that transmission interface comprises in display screen, one or more loudspeaker and haptic interface.
As shown in Figure 1, job hunter's client 110 comprises pseudo-man-machine conversation module 111, sound identification module 112, information point adjusting module 113, tag generation module 114, resume template recommending module 115, resume synthesis module 116, resume sending module 117 and I/O interface 118.Job hunter's client preferably also comprises additional information typing module 119.
Enterprise client 130 comprises resume subscribing module 131, local resume storehouse 132, resume are checked and processing module 133 and I/O interface 134.
Server 120 comprises information point matching module 121, tag match module 122, resume inventory 123 and resume sending module 124.
Below, the concrete module in job hunter's client 110 is described.
Pseudo-man-machine conversation module 111, for coordinating job hunter's client 110 modules, guides user to complete making and the transmission of resume by the information such as prompt text or suggestion voice.In pseudo-man-machine conversation module 111, pre-set many particular problems about resume, the speech robot people of pseudo-man-machine conversation module 111 can ask user these problems with voice or word one by one.Often ask a problem, user answers a problem.After user has answered, robot can make feedback and answer.Pseudo-man-machine conversation content such as, put question to by robot: ", I is resume robot, and I which school's graduation talks you be? " User can answer with the input mode such as voice or word: " Tsing-Hua University "; Robot carries out validation of information: " such, you see the information that I help you to record, and is it right? " etc..
Sound identification module 112 is in conjunction with the prompting of pseudo-man-machine conversation module 111 couples of users, at least one voice messaging that user utilizes I/O interface 118 to input is carried out to speech recognition and draws preliminary voice identification result (not showing to user), and the information point matching module 121 sent it in server 120 carries out information matches.
In information point adjusting module 113, by user, the matching result (information point) fed back from the information point matching module 121 from server 120 is adjusted.After having adjusted, the Word message point through adjustment sends to tag generation module 114 and resume synthesis module 116 by information point adjusting module 113.Wherein, the mode of user's adjustment information point is preferably, and recommends to select in multiple information point to the information point matching module 121 by server 120; In addition, the mode of user's adjustment information point is preferably user and manually re-enters information point;
Preferably, adjustment process is also sent to the information point matching module 121 of server 120 by information point adjusting module 113, makes information point matching module 121 carry out perfect to from preliminary voice identification result to the matching process of information point.Such as, certain user with the educational background of Sichuan accent phonetic entry oneself is: ' pharynx is gloomy youngster just ', sound identification module 112 identifies this word and is translated into preliminary voice identification result ' pharynx is gloomy youngster just ' (not showing to user), and the information point matching module 121 sending it to server 120 mates, and be still ' pharynx is gloomy youngster just ' as the information point of matching result.In information point adjusting module 113, user manually have adjusted this information point and is: ' postgraduate '.Now, the information point matching module 121 that adjustment process can be sent to server 120 by information point adjusting module 113 carries out record.If there is user to input ' pharynx is gloomy youngster just ' more later, then pass through the information point matching module 121 of server 120 to the coupling of this word, information point adjusting module 113 just can show information point ' postgraduate ' to user.
The tag match module 122 that the Word message adjusted through user point is sent to server 120 is mated by tag generation module 114, and by all label composition label bags fed back from tag match module 122, then send it to resume template recommending module 115 and resume synthesis module 116.
Be below one and input the embodiment of a voice messaging to the tag match completed this information from user: pseudo-man-machine conversation module 111, robot puts question to voice: ", I is resume robot, and I talks you and think work taken up "; User is by I/O interface 118 input voice information: " driver "; The voice messaging " driver " of sound identification module 112 pairs of user's inputs carries out speech recognition, and the information point matching module 121 recognition result being sent to server 120 carries out the coupling of information point; After information point adjusting module 113 receives the matching result " driver " from information point matching module 121, notify that pseudo-man-machine conversation module carries out voice message: " such, you see the information that I help you to record, and is it right? " User's confirmation point is correct, and clicks response button; This information point " driver " is delivered to tag generation module 114 and is generated the label corresponding with information point " driver " by information point adjusting module; Pseudo-man-machine conversation module 111 to user puts question to " wishing to continue input information point to enrich your resume? " Now, user can repeat above-mentioned steps and continue input information point, also can select no longer input information point and directly carry out the follow-up step of writing resume.
Resume template recommending module 115, according to the label bag received from tag generation module 114, recommends alternative resume template to user, and the resume masterplate that user selects is sent to resume synthesis module 116.Such as, if containing label in label bag: the label such as ' graduating life ', ' internet ', resume template recommending module 115 may recommend foreground design, system architecture etc. to be suitable for the template of the graduating life wanting to be engaged in internet related work to user.
The resume template selected from user and the Word message point from the information point matching module 121 of server 120 are carried out combination to generate complete resume by resume synthesis module 116, then the label stealth from label generation unit 113 is attached in complete resume, and complete resume is sent to resume sending module 117.Preferably, the additional voice from additional information typing module 119 can also be added with in complete resume.
Resume sending module 117 the complete resume from resume synthesis module 116 is uploaded onto the server 120 resume inventory 123.Preferably, complete resume one key is also sent to each job hunting website by resume sending module 117.Preferably, resume sending module 117 is also specified by micro-letter/microblogging and is sent complete resume.
Preferably, job hunter's client 110 also comprises additional information typing module 119.Preferably, additional information can be at least one in additional voice messaging or user basic information.The situation of the additional voice messaging of input such as, when after the adjustment that user completes Word message point, by I/O interface 118, additional information typing module 119 receives the additional voice of the stipulated time of user's typing, and is sent to resume synthesis module 116 by additional voice.The content of additional voice messaging is such as self-introduction, understanding etc. to position; Essential information is such as the name, age, sex, address etc. of user.
More preferably, additional information typing module 119 can allow user automatically to input or automatically gather the current geographical location information of user, using the additional information as resume by this module.This facilitate that the needs that user hunts for a job in some cases nearby.Below, the concrete module in enterprise client 130 is described.
Resume subscribing module 131 subscribes to resume for enterprise customer.Enterprise customer subscribes to label and the mode it sent to the resume sending module 124 in server 120 to arrange in resume subscribing module 131, subscribes to the resume of the subscription label comprised set by enterprise customer.
Local resume storehouse 132 for storing resume, and can receive the resume sent from the resume sending module 124 of server 120.Such as, certain enterprise customer arranges one and subscribes to label for " 211 " in resume subscribing module 131, then the local resume storehouse 132 of enterprise client likely receives such as from the resume sending module 124 of server 120 that certain graduates from the graduate resume of Tsing-Hua University.
Resume is checked with processing module 133 for checking the resume in local resume storehouse and process.Particularly, check that enterprise customer checks certain resume with processing module 133 at resume, if lose interest in, then can be deleted; If interested, then can be interactive with resume publisher.Preferably, if enterprise customer is interested in certain resume, then can listens to additional recording by I/O interface 134, if no longer interested in resume, can be deleted; If still interested, can be interactive with resume publisher.
Enterprise customer also can carry out interaction by enterprise client 130 and job hunter's client 110, such as enterprise customer sends the notice of interviewing and inviting to the job hunter of satisfactory job seeker resume, and such as, mode by voice or short message is sent to job hunter's client 110 thus carries out interaction with resume publisher.
Particularly, when sending the notice of interviewing and inviting with short message way, enterprise client can transfer the short message sending function of mobile phone, and the publisher's phone number extracted in resume receives phone number as target note; Auto-writing template note is as inviting note, and short message content is revised by prompting recruitment side.
When sending the notice of interviewing and inviting with voice mode, that transfers mobile phone calls function, and the publisher's phone number extracted in resume is allocated to number as presetting.
Below, the concrete module in server 120 is described.
The preliminary voice identification result of information point matching module 121 to the sound identification module 112 from job hunter's client 110 carries out information point coupling, and the information point after coupling is fed back to information point adjusting module 113.Preferably, if information point matching module 121 can not find the information point content corresponding to voice identification result, multiple fuzzy matching information point can be returned to user and select for user.
Tag match module 122 receives the Word message point through user's adjustment of the tag generation module 114 from job hunter's client 110, and carries out tag match to it, and matching result is fed back to the tag generation module 114 of job hunter's client 110.Wherein, the tag match module 121 in server 120 is preferably divided into two classes by the coupling of cloud label: first kind label is the direct label for direct content matching, and Equations of The Second Kind is correlation tag.Such as, if information point adjusting module 113 will be graduated, universities and colleges' information point ' Tsing-Hua University ' is sent to the tag match module 121 in server 120, then the cloud label that tag match module 121 is mated for it is: ' Tsing-Hua University ', ' 211 colleges and universities ', ' 985 colleges and universities ' three label.Wherein ' Tsing-Hua University ' is first kind label, and ' 211 colleges and universities ', ' 985 colleges and universities ' are Equations of The Second Kind label.
Resume inventory 123 is for storing the resume submitted to from job hunting client 110.
The subscription label that resume sending module 124 is submitted to according to the resume subscribing module 131 from enterprise client 130, sends meeting the resume subscribing to label in resume inventory 123 to the local resume storehouse 132 of enterprise client 130.
Fig. 2 diagrammatically illustrates the process sequential chart in the present invention between job hunter's client and server.As shown in Figure 2:
The pseudo-man-machine conversation module 111 of job hunter's client 110 is putd question to user, and sound identification module 112 couples of users utilize the personal information of I/O interface 118 phonetic entry to carry out speech recognition (205); And the information point matching module 121 (210) recognition result is sent in server 120; Information point matching module 121 carries out information point coupling (215) to preliminary voice identification result; And the information point after coupling is fed back to the information point adjusting module 113 (220) of job hunter's client 110;
Receive after information point matching module 121 feedack point at information point adjusting module 113, pseudo-man-machine conversation module 111 couples of users point out, and user manually adjusts (225) information point; After having adjusted, tag generation module 114 transfers the Word message point through user's adjustment from information point adjusting module 113, and sends it to the tag match module 121 (230) of server 120; Tag match module 121 is Word message Point matching label (235); And matching result is fed back to the tag generation module 114 (240) of job hunter's client 110;
Whether pseudo-man-machine conversation module 111 continues to input information point to user's query, is return step 205 and continue phonetic entry; Otherwise resume template recommending module 115 transfers label from tag generation module 114, and recommend alternative resume template according to label to user, then, user selects (245) resume template; Resume synthesis module 116 calling and obtaining user select template, in information point adjusting module 113 through the Word message point of user's adjustment, carry out the synthesis of complete resume, label simultaneously also in complete resume in stealthy additional label generation module 114, also preferably from additional information typing module 119 calling and obtaining user additional voice and be added on (250) in complete resume; Resume sending module 117 transfer resume synthesis module 116 complete resume and uploaded onto the server 120 resume inventory 123.Preferably, complete resume one key is also sent to each job hunting website by resume sending module 117.Preferably, resume sending module 117 is also specified by micro-letter/microblogging and is sent complete resume (255).
Fig. 3 diagrammatically illustrates the process sequential chart in the present invention between enterprise client and server.As shown in Figure 3:
Enterprise customer arranges and subscribes to label (305) in resume subscribing module 131; And it is sent to the resume sending module 124 in server 120, the resume of the subscription label comprised set by enterprise customer is subscribed to (310); The subscription label that the resume sending module 124 of server 120 is submitted to according to the resume subscribing module 131 from enterprise client 130, send (315) to the local resume storehouse 132 of enterprise client 130 and check with processing module 133 by meeting the resume subscribing to label in resume inventory 123 at resume, enterprise customer checks certain resume, if lose interest in, then can be deleted; If interested, then can be interactive with resume publisher.Preferably, if enterprise customer is interested in certain resume, then can listens to additional recording by I/O interface 134, if no longer interested in resume, can be deleted; If still interested, can with resume publisher interaction (320).
Utilize a kind of resume commending system based on speech recognition and cloud label of the present invention, can solve and can not use keyboard and input method due to some crowd thus the problem of resume cannot be write smoothly, further, achieving one makes job hunter user and enterprise customer can both carry out hunting for a job and recruiting in faster more efficient mode.
In conjunction with the explanation of the present invention disclosed here and practice, other embodiments of the present invention are all easy to expect and understand for those skilled in the art.Illustrate and embodiment be only considered to exemplary, true scope of the present invention and purport limited by claim.
Claims (10)
1. the resume commending system based on speech recognition and cloud label, it is characterized in that, described system comprises at least one job hunter's client, at least one enterprise client and server, described job hunter's client and described enterprise client carry out two-way communication between network and described server
Described job hunter's client is used for making user input resume with voice mode, and generates resume by the mode of labeling for user and be sent to described server;
Described server, for identifying the information sent from described job hunter's client and providing the mode of tag match to assist described job hunter's client to complete writing of resume, stores described foundation and sends described resume to described enterprise client; And
Described enterprise client is for subscribing to and processing the resume sent from described server.
2. system according to claim 1, it is characterized in that, described job hunter's client comprises pseudo-man-machine conversation module, sound identification module, information point adjusting module, tag generation module, resume template recommending module, resume synthesis module, resume sending module and I/O interface, wherein
Described pseudo-man-machine conversation module is used for guiding user to complete making and the transmission of resume by the information of prompt text or suggestion voice;
Described sound identification module carries out speech recognition at least one voice messaging that user inputs and draws not to the preliminary voice identification result that user shows, and sends it to described server and carry out information matches;
Described information point adjusting module adjusts the matching result received from described server, and is sent to described tag generation module and resume synthesis module by the Word message point through adjustment;
The Word message adjusted through user point is sent to described server and mates by described tag generation module, and by the label of feedback composition label bag, and send it to described resume template recommending module and described resume synthesis module;
Described resume template recommending module, according to the label bag received from described tag generation module, recommends alternative resume template to user, and the resume masterplate that user selects is sent to described resume synthesis module;
Described resume synthesis module is by the resume template selected by user and carry out combination to generate complete resume from the Word message point after described server matches, and the label stealth from described label generation unit is attached in complete resume, and complete resume is sent to resume sending module;
Complete resume from described resume synthesis module is uploaded to described server by described resume sending module;
Described I/O interface is used for input and output voice and Word message.
3. system according to claim 1 and 2, is characterized in that, described server comprises:
Information point matching module, it carries out information point coupling to the preliminary voice identification result from described job hunter's client, and the information point after coupling is fed back to described job hunter's client;
Tag match module, it receives the Word message point through user's adjustment from described job hunter's client, and carries out tag match to it, and matching result is fed back to described job hunter's client;
Resume inventory, for storing the resume submitted to from described job hunting client;
Resume sending module, it is according to the subscription label submitted to from described enterprise client, sends meeting the resume subscribing to label in described resume inventory to described enterprise client.
4. according to the system in claim 1-3 described in any one, it is characterized in that, described enterprise client comprises:
Resume subscribing module, arranges for enterprise customer and subscribes to label and it sent to described server, subscribe to the resume of the subscription label comprised set by enterprise customer;
Local resume storehouse, for storing resume, and receives the resume sent from described server;
Resume is checked and processing module, for checking the resume in local resume storehouse and process.
5. system according to claim 2, it is characterized in that, the mode of user's adjustment information point in described information point adjusting module is at least one in following two kinds of modes: recommend to select in multiple information point to the described information point matching module by described server, and user manually re-enters information point.
6. system according to claim 2, is characterized in that, adjustment process is sent to described server by described information point adjusting module, makes described server carry out perfect to from preliminary voice identification result to the matching process of information point.
7. system according to claim 1 and 2, is characterized in that, described job hunter's client also comprises additional information typing module, and it is for typing additional information and described additional information be added in described complete resume.
8. system according to claim 7, it is characterized in that, described additional information is selected from least one in additional voice messaging, user basic information and user's geographical location information, and described user's geographical location information manually can be inputted by user or automatically gathered by described additional information typing module.
9. system according to claim 2, is characterized in that, complete resume one key is sent to each job hunting website or is specified by micro-letter/microblogging and sends complete resume by described resume sending module.
10. system according to claim 1, is characterized in that, described information point matching module, when can not find the information point content corresponding to voice identification result, returns multiple fuzzy matching information point to user and selects for user.
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| CN109005293A (en) * | 2018-08-14 | 2018-12-14 | 安徽网才信息技术股份有限公司 | A kind of mobile phone is hunted for a job the resume more new system of APP online |
| CN109299445A (en) * | 2018-08-01 | 2019-02-01 | 政采云有限公司 | It obtains the method, apparatus of file template, calculate equipment and storage medium |
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| CN112434500A (en) * | 2019-08-09 | 2021-03-02 | 珠海金山办公软件有限公司 | Resume generation method, device, client, server and storage medium |
| CN112528000A (en) * | 2020-12-22 | 2021-03-19 | 北京百度网讯科技有限公司 | Virtual robot generation method and device and electronic equipment |
| CN113220898A (en) * | 2021-04-30 | 2021-08-06 | 上海适享文化传播有限公司 | Ai knowledge saying system based on cloud sharing wisdom |
| CN114238607A (en) * | 2021-12-17 | 2022-03-25 | 北京斗米优聘科技发展有限公司 | Deep interactive AI intelligent job-searching consultant method, system and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1371090A (en) * | 2002-03-25 | 2002-09-25 | 苏州孔雀电器集团有限责任公司 | Method of converting phonetic file into text file |
| US20030120531A1 (en) * | 1998-12-11 | 2003-06-26 | Lloyd Parker | Employee hiring by means of a single electronic docket communicated over a network |
| US20040111267A1 (en) * | 2002-12-05 | 2004-06-10 | Reena Jadhav | Voice based placement system and method |
| CN101547407A (en) * | 2008-03-28 | 2009-09-30 | 上海睿库计算机科技有限公司 | Method and device for processing resume delivery signals started by mobile equipment |
| CN201491089U (en) * | 2009-04-02 | 2010-05-26 | 深圳市点趣网络技术有限公司 | Job-hunting system based on portable communication device |
| CN102929866A (en) * | 2011-10-28 | 2013-02-13 | 微软公司 | A distributed user input generated by transcription service from voice to text |
| CN103227865A (en) * | 2013-04-10 | 2013-07-31 | 深圳市金立通信设备有限公司 | Display method of voice recognition interface and mobile terminal |
-
2014
- 2014-01-08 CN CN201410008600.2A patent/CN104252517B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030120531A1 (en) * | 1998-12-11 | 2003-06-26 | Lloyd Parker | Employee hiring by means of a single electronic docket communicated over a network |
| CN1371090A (en) * | 2002-03-25 | 2002-09-25 | 苏州孔雀电器集团有限责任公司 | Method of converting phonetic file into text file |
| US20040111267A1 (en) * | 2002-12-05 | 2004-06-10 | Reena Jadhav | Voice based placement system and method |
| CN101547407A (en) * | 2008-03-28 | 2009-09-30 | 上海睿库计算机科技有限公司 | Method and device for processing resume delivery signals started by mobile equipment |
| CN201491089U (en) * | 2009-04-02 | 2010-05-26 | 深圳市点趣网络技术有限公司 | Job-hunting system based on portable communication device |
| CN102929866A (en) * | 2011-10-28 | 2013-02-13 | 微软公司 | A distributed user input generated by transcription service from voice to text |
| CN103227865A (en) * | 2013-04-10 | 2013-07-31 | 深圳市金立通信设备有限公司 | Display method of voice recognition interface and mobile terminal |
Cited By (20)
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|---|---|---|---|---|
| CN104951570A (en) * | 2015-07-27 | 2015-09-30 | 广州九尾信息科技有限公司 | Intelligent part-time job recommendation system based on data mining and LBS |
| CN105678585A (en) * | 2016-01-12 | 2016-06-15 | 北京光年无限科技有限公司 | Statistical data processing method and device for smart robot |
| CN106056361A (en) * | 2016-06-14 | 2016-10-26 | 南京动酷网络科技有限公司 | Cross-platform mobile office system based on cloud end |
| CN106485467A (en) * | 2016-09-27 | 2017-03-08 | 吉林码帝科技有限公司 | A kind of disabled person applies for flow process |
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| CN107491938A (en) * | 2017-08-18 | 2017-12-19 | 淄博职业学院 | A kind of Talent Management system and new recruitment pattern |
| CN110390086A (en) * | 2018-04-19 | 2019-10-29 | 北京搜狗科技发展有限公司 | A kind of method, apparatus and storage medium generating text |
| CN110580611A (en) * | 2018-06-11 | 2019-12-17 | 钉钉控股（开曼）有限公司 | Resume information management method, and recruitment information management method and device |
| CN110580611B (en) * | 2018-06-11 | 2024-03-19 | 钉钉控股（开曼）有限公司 | Resume information management method, recruitment information management method and recruitment information management device |
| CN109299445A (en) * | 2018-08-01 | 2019-02-01 | 政采云有限公司 | It obtains the method, apparatus of file template, calculate equipment and storage medium |
| CN108984507A (en) * | 2018-08-03 | 2018-12-11 | 四川民工加网络科技有限公司 | The resume generation method and device of mobility worker |
| CN109005293A (en) * | 2018-08-14 | 2018-12-14 | 安徽网才信息技术股份有限公司 | A kind of mobile phone is hunted for a job the resume more new system of APP online |
| CN112434500A (en) * | 2019-08-09 | 2021-03-02 | 珠海金山办公软件有限公司 | Resume generation method, device, client, server and storage medium |
| CN111461676A (en) * | 2020-04-22 | 2020-07-28 | 淄博职业学院 | Internet-based human resource diversification intelligent management method |
| CN112036138A (en) * | 2020-07-29 | 2020-12-04 | 长沙市到家悠享网络科技有限公司 | Resume filling method and device, electronic equipment and storage medium |
| CN112528000A (en) * | 2020-12-22 | 2021-03-19 | 北京百度网讯科技有限公司 | Virtual robot generation method and device and electronic equipment |
| CN113220898A (en) * | 2021-04-30 | 2021-08-06 | 上海适享文化传播有限公司 | Ai knowledge saying system based on cloud sharing wisdom |
| CN114238607A (en) * | 2021-12-17 | 2022-03-25 | 北京斗米优聘科技发展有限公司 | Deep interactive AI intelligent job-searching consultant method, system and storage medium |
| CN114238607B (en) * | 2021-12-17 | 2022-11-22 | 北京斗米优聘科技发展有限公司 | Deep interactive AI intelligent job-searching consultant method, system and storage medium |
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