CN102542409A - Recruitment information display method based on socialized network system - Google Patents
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Abstract
A recruitment information display method based on a socialized network system includes specific steps: 1) users register to be system members, namely users need to register when entering a network recruitment system; 2) users complete personal information, such as working places, work experiences, graduate schools, majors and native places; and users add interested working places or companies and subscribe relative recruitment information; 3) in the network recruitment system, besides the existing socialized information relative to information of the recruitment, such as the recruitment places and the recruitment companies, the recruitment information further includes social network information relative to the recruitment information; 4) when a user in the network recruitment system looks up into the recruitment information, an edge column is simultaneously displayed, and other users which are relative to the recruitment information and have social connection with the user are listed in the edge column; and 5) the user click into a homepage of a relative user to obtain information of the relative user. The recruitment information display method can improve efficiency of recruitment.
Description
Technical field
The invention belongs to the public exchange field, relate to a kind of new information interaction mode, be applied to show in the recruitment information have the related disclosed information of other users (for example alumnus or the like) with the user, it is interactive that application side and recruitment are produced.For between recruitment and application, setting up a bridge.
Background technology
Traditional recruitment information only can comprise following information: post demand, demand of specialty, salary, company, location or the like.Yet for the applicant, it almost is impossible if desired there is more deep understanding in its company.Along with the increase of the expansion of university enrolment, at the pressure of postgraduate graduating life nowadays facing to employment.From before ask just if thirsty by now the talent is saturated, seek the talent and also become difficult all the more with job search.On the one hand, the talent maybe be owing to lack necessity of company understood, and do not cause interview good and eliminated; On the other hand, enterprise how difficult also find a real satisfactory talent in complaint be.Yet this platform has been arranged, and no longer is the process of a simple interview and quilt cover between recruitment person and the applicant.But the process of an interchange.It only is that the interview ability is splendid that enterprise need not worry to interview the talent who obtains again, and the individual worries no longer that also ability can't show.Through demonstration to the people's that gets into the said firm common factor.Can so that the user can with exchange schoolmate of this company or the like, the said firm is understood more.And on the other hand, company also recruit with pleasure with the relevant people of identical school of corporator or other.
The present invention mainly occupy network, its main network-oriented market, and the network market has mainly experienced the differentiation of three phases.One stage was the inner network market of the producer, and its essential characteristic is that industry member is inner for shortening the operation flow time and reduce transaction cost, the formed network market of the electronic data interchange system that adopts.Subordinate phase is domestic or global producer's network market and consumer's network market.Phase III is the network market of informationization, digitizing, electronization.And the present invention has catered to the phase III just is this characteristic of informationization in current acme, and making great efforts provides enough valuable information for the user.Along with the development of web in recent years, the idea of web2.0 is rooted in the hearts of the people gradually, people also slowly begin to accept and be accustomed to web2.0 for they create succinct, interactivity is strong, participate in the web pattern of building network resource.The development trend that this product has also catered to web2.0 is simultaneously keeping having guaranteed the succinct of interface under the enough situation of quantity of information; All information of website have the user to make up jointly, and the user can obtain valuable information from native system simultaneously.
Summary of the invention
The present invention seeks to; The deficiency that solves existing E-Recruit information issue and scan; How propose with more efficiently, more with open arms with among being socially reintegrated of the recruitment information network, thereby make the user when paying close attention to recruitment information, can obtain the socialization information that is associated with recruitment information fast; Thereby deepen understanding and grasping on the one hand to recruitment information; In social network, utilize existing social relationships to find useful recruitment information fast on the other hand, improve the efficient of E-Recruit.
Solution of the present invention is, based on the recruitment information exhibiting method of social network system (SNS), in traditional recruitment information issuing web site, introduces related information (socialization) relational network; Concrete steps are following,
1) user's registration becomes the member of system, and the user needs registration when getting into network recruitment system;
2) user improves personal information, such as personal information such as work place, work experience, graduation universities and colleges, specialty, native places; The user adds interested work place or company, subscribes to relevant recruitment information;
3) in this network recruitment system, go back the relevant socialization information of apposition the relevant information of recruitment itself except existing following in the recruitment information, such as recruiting place, the company that belongs to; Through in database, picking out the maximum disclosed information of personnel of user's degree of association is carried out classified finishing, classification arrange and at any time with the applicant carry out corresponding apposition for information about;
4) when the user in the network recruitment system checks recruitment information; Show a sidebar on the right side (left side, top, bottom) of this recruitment information simultaneously; Enumerate out in the sidebar this recruitment information relevant with the user other user of socialization contact (related information) is arranged, friendly such as the institute in this recruitment company work of same department graduation;
5) user clicks the homepage that gets into certain associated user, obtains this pertinent user information, gets in touch with this user, thereby obtains the darker information of this recruitment;
The related information of other user that system provides, possibly be in this recruitment company work alumnus, the friend of institute, be the friend, also possibly be same native place person in the said firm's work.Through these socialization information, the user can use these socialization information effectively, the mechanism of strengthening mutual trust, thus find desirable work more efficiently.Socialization contact (related information) mainly refers to and recruitment employment correlation information.
6) user is at personal homepage, check by system judge automatically and enumerate with the most closely-related recruitment information of this user, the recruitment information of subscribing to like the user, maximum other associated users are arranged with the user;
7) recruitment information of user certain company of initiatively subscribing to, system can demonstrate the possible most interested recruitment information of user according to user's personal information, with the user certain related (a bit) recruitment information of a lot of friends of institutes etc. is arranged.
8) every recruitment information all has with its relevant many information, for each factor is set weights, through like minor function, sorts through every recruitment information being calculated corresponding weights.
9) factor of certain bar recruitment information sequencing weight just has:
The user subscribes to weights: K
2
Good friend's quantity of subscribing to this information is P:P
1.2
Other people subscribe to the quantity Q:log2 Q of this company
Other are to the interested people's of this information quantity M:M
The sequencing weight of certain bar recruitment information is:
Value?=?K
2?+?P
1.2?+?log?Q+?M。
One of the present invention takes the form of, and an infosystem when user adds this system, needs registration and improves personal information, such as the work place, and graduation universities and colleges, specialty etc.In this system, give recruitment information except existing socialization information of following the relevant information of recruitment itself, such as place, the company at recruitment place.When intrasystem user checked recruitment information, system can combine current socialization information of checking the user of recruitment information, provided other related with the user, relevant with this recruitment information user profile simultaneously.Other user that system provides, possibly be in the work of this recruitment company alumnus, the friend of institute, be the friend, also possibly be same nationality people in the said firm's work.Through these socialization information, the user can use these socialization information effectively, thereby understands the situation of desiring to engage work more efficiently, finds desirable work.Simultaneously, at user home page, the personal information according to the user can be followed by system, demonstrates the possible most interested recruitment information of user, such as the recruitment information of certain company that the user initiatively subscribes to has certain related (a bit) recruitment information of a lot of friends of institute etc. with the user.
But just generally speaking, the user is to only being that the help that the alumnus that enumerates in the work of same company can obtain is not very big.So the present invention adjusts algorithm and optimizes.In database, pick out the disclosed information of the maximum some alumnus of user's degree of association (friend of institute, with native place personnel, identical operational area personnel etc.) carried out classified finishing, classification arrange and at any time with the applicant carry out corresponding apposition for information about.This result is returned to variant user, and each the bar recruitment information that makes the user see all is the effective information that the abundant information amount is arranged.And this information is diversification user profile (alumnus of identical operational area is with alumnus of same companies or the like), makes it can select to utilize information effectively like this.
The present invention through the user being belonged to the analysis of colony's (SNS social networks), draws other relevant with it users in originally unidirectional recruitment information publicity, and then for the user provides the information of more diversification, it is interactive that publicity is had.The present invention is mainly used in the recruitment information and shows and have the related disclosed information of other users (for example alumnus or the like) with the user, causes application side (the potential audient of recruitment) user and recruits the generation interaction.Its purpose makes both sides arrive the purpose of doulbe-sides' victory between recruitment and application, setting up a bridge.
The invention has the beneficial effects as follows: the present invention is based on social network, provide a recruitment information issue, check, subscribe to platform.Through combining of socialization relation and recruitment information; Help the user to excavate socialization information deeper, more useful in the recruitment information, thereby assisting users utilizes relevant information, trust recruitment information; Faster and better finds a job; Also help recruitment side to find gratifying audient, can predict the recruitment website of the method and can extensively be taken like a shot, can improve the efficient of E-Recruit greatly.
Description of drawings
Fig. 1 information sorting algorithm affects factor.
Fig. 2 is the present invention retrieves Useful Information from the SNS relational network a process flow diagram.
Embodiment
The present invention is based on the socialization relational network and make up a recruitment platform; The core of its enforcement is 2 points: first to be system provide relevant other user who has socialization to get in touch with the user of this recruitment information in sidebar, and second is to provide the recruitment information that has socialization to get in touch with the user at the individual subscriber homepage.These 2 cores all require system to provide the result by the degree of the contact (socialization contact) of related information.
For first point, the implementation of recruitment platform of the present invention system is following:
The user is when browsing the recruitment information of his interested some company; Show a sidebar on the right side (left side, top, bottom) of this information simultaneously; Enumerating out the relevant contact with subscriber-related information of this recruitment information in the sidebar is other user of socialization contact; Friendly such as once in the institute of same department of universities of same institute academic program, or even this user's fellow villager.The user of search recruitment information is after obtaining these information; Can relate to these relevant personnel through the mode of socialization; Thereby can get access to more relevant information, have one more to fully understand, increase the satisfaction of user for recruitment to this post with recruitment.
The concrete implementation of following this function of stated.
Because this system is the personal story with the user is the data basis, so in user's registration, it fills in the real information relevant with the individual system requirements, like the school of once learning and professional and the work position of once taking office etc.System sorts out after unitized the processing to these information; It is placed in the tables of data relevant in the system database in order; Be exemplified below; User's information of going to school once is placed in the user_school tables of data; Id number of the user, id number of school, user have been write down also in this Learning in School, the degree that the user majors in this school, the specialty of study and user's entrance time etc. in the inside whether; And for example user's inaugural information once is placed in the user_com_place tables of data, has wherein write down id number of the user, the title of city, place, work position, hiring date, leaving date, job overall, whether also information such as this post work and the company of holding office id number.
When the user when browsing recruitment information, the system backstage is according to the study experience of login user and work experience etc., each with the relevant company of recruitment information in search and active user the staff in post of identical or close experience is arranged.For instance; Active user A is a undergraduate who has just graduated from software institute of Nanjing University; He is interested in the work position of Microsoft; So he removes to browse the recruitment information of Microsoft, just there is an alumnus B who graduated in software institute of Nanjing University in Zao 2 years than A to work, so system has just searched this friend of institute in Microsoft's work in Microsoft; Put it in the sidebar on right side of recruitment information; User A has known at this point has oneself a schoolmate to work in Microsoft, so he has related to user B through the contact method that user B stays in the system, has found a good solution for the problem of looking for a job that faces of oneself.Come the front of the personnel's that close experience is arranged that retrieve list for a certain reason for fear of the employee who in a company, works always; Thereby always by " harassing and wrecking "; System can do randomly ordered processing to the user that retrieval is come out, and all has identical probability to be had access to by search subscriber to guarantee each user who is retrieved out.
For second point, the implementation of system is following:
Homepage information is according to relevancy ranking; The homepage information sorting according to the attribute of information and with other information, with the degree of correlation of information such as time or the sequencing weight that value is tried to achieve this information; Sequencing weight according to this information shows its homepage that sorts afterwards again, has reached the purpose of the most interested information of homepage explicit user.Participate in factor such as Fig. 1 that sequencing weight is calculated.
As shown in Figure 1, every information all has with its relevant many information, for each factor is set weights, through like minor function, can calculate the weights that definite information is corresponding.Illustrate its realization below.
For example: existing information, the people Aperson issue of A company is arranged, issuing time was apart from 3 days again today; The place of recruitment is cityA, cityB, cityC; The said firm's world rankings the 500th; Have 43 people to subscribe to this rule information, when the user logined, there had 12 people to represent this information to be interesting.
Nowadays user Bperson login system; User B has subscribed to the A of company; Have 3 people also to subscribe to the A of company simultaneously among user's the good friend, this information is for user Bperson, and the factor that influences its sequencing weight just has: B has subscribed to company; There are 3 people to subscribe to the A of company among the good friend of B; Have 5 people to subscribe to this information (through other condition outside the non-company) among the good friend of B, other people (being not limited to the B good friend) has 8 people to subscribe to company, and it is interested that other people has 12 people to represent this information.
Because whether the user has subscribed to the A of company and user good friend subscribe to the A of company and have higher weight, so merge to get up the common wherein weights K that constitutes, concrete calculating:
K=(if the user subscribes to A company: Factor, otherwise: 0)+quantity of subscribing to the A of company among the user good friend
Wherein, Factor can regulate, and scope is from 10, to 80.
Information above using then, the weights computing formula that we set subscription is:
The user subscribes to weights: K
2
Good friend's quantity of subscribing to this information is P:P
1.2
Other people subscribe to the quantity Q:log2 Q of this company
Other are to the interested people's of this information quantity M:M
To sum up we can draw certain bar information of a sequencing weight obtain to(for) certain specific user and are:
Value?=?K
2?+?P
1.2?+?log?Q+?M
Calculate sequencing weight to the information taking-up in a nearest week according to A company, finally draw sorted lists and be shown to the user in homepage.
Invention is suitable for the embodiment of scene:
What provide this invention below possibly be suitable for scene.Certain user is the senior, is about to face graduation and looks for a job.In order to utilize self existing socialization relation to find a job more efficiently, he determines to use this invention----socialization recruitment platform.
He at first registers becomes the member of system, then under system prompt, and personal information such as personal information, graduation institute that he is perfect.
Then he gets into subscriptions page, adds Shanghai, interested work place----, Baidu of work company----, Tengxun, Microsoft.
He gets into personal homepage, has provided Baidu, Tengxun, the Microsoft campus recruiting information regional in Shanghai on the homepage, and ordering is by the priority arrangement of his appointment when subscribing to.In addition, also demonstrate other worker department recruitment information in area, Shanghai on the homepage, Baidu, Tengxun, Microsoft are in other regional recruitment.He has selected article one recruitment information of system recommendation, is Baidu recruits the software engineer in Shanghai information, recruits simultaneously to show 20 graduation friends of institute of institute on the page sidebar in Baidu's Shanghai work.He has selected to find the friend of first institute of system recommendation, and still own unexpectedly fellow-villager so he gets into the friend of institute personal homepage, has obtained information such as the friendly phone of this institute, Email.After getting in touch with the friend of this institute owing to be the relation that the fellow-villager adds institute friend, the friend of this institute in Baidu Shanghai very enthusiasm more information is provided, and recommended him, so he has got into Baidu's Shanghai work smoothly to the higher level.
Claims (5)
1. based on the recruitment information exhibiting method of social network system, in traditional recruitment information issuing web site, introduce a socialization relation information; It is characterized in that concrete steps are following,
1) user's registration becomes the member of system, and the user needs registration when getting into network recruitment system;
2) user improves personal information, such as personal information such as work place, work experience, graduation universities and colleges, specialty, native places; The user adds interested work place or company, subscribes to relevant recruitment information;
3) in this network recruitment system, in the recruitment information except existing with the socialization information the relevant information of recruitment itself, the place, the company that belong to such as recruitment; Social network (SNS) information that also apposition is relevant with this recruitment information.
2. this apposition is through in database, picking out the maximum disclosed information of personnel of user's degree of association to be carried out classified finishing, classification arrange and at any time with the applicant carry out corresponding apposition for information about;
4) when the user in the network recruitment system checks recruitment information, simultaneously the right side of this recruitment information, left side, above or the bottom show a sidebar, enumerate out relevant other user who has socialization to get in touch with the user of this recruitment information in the sidebar;
5) user clicks the homepage that gets into certain associated user, obtains this pertinent user information, gets in touch with this user, thereby obtains the darker information of this recruitment.
3. the recruitment information exhibiting method based on the social network system according to claim 1; It is characterized in that every recruitment information all has with its relevant many information; For each factor is set weights,, sort through every recruitment information being calculated corresponding weights through like minor function.
4. the recruitment information exhibiting method based on the social network system according to claim 2, it is characterized in that the factor of certain bar recruitment information sequencing weight just has: the user subscribes to weights K
2Good friend's quantity of subscribing to this information is P:P
1.2Other people subscribe to the quantity Q:log2 Q of this company; Other are to the interested people's of this information quantity M:M; The sequencing weight of certain bar recruitment information is: Value=K
2+ P
1.2+ log Q+ M.
5. the recruitment information exhibiting method based on the social network system according to claim 1; It is characterized in that the user initiatively subscribes to the recruitment information of certain company; System can be according to user's personal information, and demonstrating the possible most interested recruitment information of user has a lot of alumnus or the related recruitment information of the friend of institute with the user.
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Cited By (9)
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CN102799668A (en) * | 2012-07-12 | 2012-11-28 | 杜继俊 | Recruitment position information processing method and system |
CN102930370A (en) * | 2012-09-27 | 2013-02-13 | 杜继俊 | Method and system for processing recruitment information |
CN102938100A (en) * | 2012-10-16 | 2013-02-20 | 杜继俊 | Recruitment information processing method and system |
WO2014008765A1 (en) * | 2012-07-11 | 2014-01-16 | 北京长生天地电子商务有限公司 | Network transaction platform system and method having merchandise subscription structure |
CN104111997A (en) * | 2014-07-08 | 2014-10-22 | 广州爱拼信息科技有限公司 | Information display method, device and system based on browser client |
CN104468635A (en) * | 2014-12-31 | 2015-03-25 | 广州东海网络科技有限公司 | Upgrading authentication method and system for user permission in network platform |
CN105160518A (en) * | 2015-08-24 | 2015-12-16 | 上海嘉奢企业管理外包服务有限公司 | Talent recruitment system |
CN105938590A (en) * | 2016-02-15 | 2016-09-14 | 寻仟信息科技(上海)有限公司 | Recruiting system and recruiting method |
CN108764835A (en) * | 2018-05-24 | 2018-11-06 | 广州合摩计算机科技有限公司 | Reverse talent's pushed information method and apparatus |
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WO2014008765A1 (en) * | 2012-07-11 | 2014-01-16 | 北京长生天地电子商务有限公司 | Network transaction platform system and method having merchandise subscription structure |
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CN102930370A (en) * | 2012-09-27 | 2013-02-13 | 杜继俊 | Method and system for processing recruitment information |
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CN104468635A (en) * | 2014-12-31 | 2015-03-25 | 广州东海网络科技有限公司 | Upgrading authentication method and system for user permission in network platform |
CN104468635B (en) * | 2014-12-31 | 2018-01-26 | 广州东海网络科技有限公司 | The user right step-up authentication method and system of the network platform |
CN105160518A (en) * | 2015-08-24 | 2015-12-16 | 上海嘉奢企业管理外包服务有限公司 | Talent recruitment system |
CN105938590A (en) * | 2016-02-15 | 2016-09-14 | 寻仟信息科技(上海)有限公司 | Recruiting system and recruiting method |
CN108764835A (en) * | 2018-05-24 | 2018-11-06 | 广州合摩计算机科技有限公司 | Reverse talent's pushed information method and apparatus |
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Application publication date: 20120704 |