CN103544312A - Employment information matching method based on social network - Google Patents
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Abstract
The invention provides an employment information matching method based on a social network. Key words in employment information issued by an enterprises and input by an HR and key words extracted from textual description fields in the issued employment information such as post demand, skill demand and educational requirements form a key word set. The key word set is sorted by priority by utilizing priority division prestored in a key word grading list in the system, different action weights are provided for the key words, a plurality of kinds of user lists in accordance with the condition are acquired in microblog information according to the key words, each kind of users has a pre-distributed energy value, and for any user, the initial energy values of the plurality of kinds can be added to serve as the initial matching value phii of the user by judging the kinds that the user belongs to. When the method is used for judging whether a user is matched with the employment job demands, the result is not determined by the initial matching value of the user but determined by the initial matching value of first-class friends and second-class friends of the user and their attention.
Description
Technical field
The invention belongs to technical field of information processing, more specifically say, relate to a kind of recruitment information matching process based on social networks, specially refer to a kind of method that first order good friend by user and second level good friend and the degree of correlation of the position that will recruit determine the degree of correlation of targeted customer and position vacant jointly.
Background technology
Along with popularizing of internet, applications, the self information that the network user issues is on the internet more and more, and increasing enterprise recruits on network, and increasing job hunter applies on network.
The internet recruitment occurring now realizes mainly with following several forms: recruitment person issues recruitment information on the net, and applicant wants to recruit the resume that this sends oneself after finding favorite work; Applicant issues the resume of oneself on the net, and recruitment person can search for the resume that meets own recruitment condition when recruitment.
Above-mentioned these methods all require self resume to be provided and to search for by both party just user to reach the target of obtaining recruitment information, therefore native system provides the matching degree that user profile that a kind of person of recruitment utilizes microblogging good friend and friend information judge this user and own required object of employing, and obtains the friend information of applicable wanted position vacant.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of recruitment information matching process based on social networks is provided, by user's information itself and the degree of correlation of recruitment requirement, judge whether user is applicable to current position vacant.
For realizing above object, the present invention is based on the recruitment information matching process of social networks, comprise the following steps:
(1), obtain recruitment keyword
1.1), HR issue recruitment information and recruitment keyword;
1.2) program extracts additional key word from the concrete recruitment information of HR issue;
1.3) by step 1.1) and step 1.2 in the keyword that obtains get union and obtain keyword set R;
(2), keyword set R is according to keyword carried out to prioritization with the degree of correlation of position vacant to keyword, the degree of correlation is higher, and priority is higher;
(3), utilize the contents such as microblogging API, tag match, enterprise, Hall of Fame and micro-periodical to obtain respectively the user list relevant to keyword, and each user list is arranged to the weights that prestore;
(4), obtain the user of resume coupling;
4.1) when, enterprise need to recruit, to targeted customer's one-level friend and secondary friend, being according to calculating targeted customer and the degree of correlation that recruitment requires with the degree of correlation that recruitment requires, is foundation and not merely rely on user self and recruit the degree of correlation requiring;
4.2), the degree of correlation that requires of individual subscriber and recruitment is foundation by the user list type belonging to according to user profile user, when user is divided in a type, the energy value that prestores of the type is added in the degree of correlation that targeted customer and recruitment require.
Accompanying drawing explanation
Fig. 1 is method overview flow chart;
Fig. 2 is that user's initial matching value is obtained process flow diagram;
Fig. 3 judges whether user is applicable to position process flow diagram.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described, so that those skilled in the art understands the present invention better.Requiring particular attention is that, in the following description, when perhaps the detailed description of known function and design can desalinate main contents of the present invention, these are described in here and will be left in the basket.
The present invention relates to a kind of recruitment information matching process based on social networks; Its whole step is as follows:
S1.HR issues recruitment information, comprising the keyword set R1 manually being inputted by HR;
S2. in the description field of program by the text of the post demand in the recruitment information of HR issue, technical ability requirement, educational requirement etc., extract the additional key word set R2 that position is relevant;
S3. the union R that gets R1 and R2 is keyword set, utilize respectively keyword in the search R such as microblogging search API, good friend's user tag to obtain user list U1, U2, Un, and each class user list is composed with zero energy value to represent the user and the degree of correlation of position vacant in this user list, this zero energy value, according to the number decision of gained user list, is
S4. the keyword extracting in the information of issuing on microblogging platform by the good friend's label in HR user's friend information and good friend is foundation, obtains user's initial matching value;
S5. according to the initial matching value obtaining in S4, calculate and obtain user and recruit the degree of correlation requiring;
Before calculating in the method user and recruiting the degree of correlation requiring, need to know user's one-level friend and secondary friend and the degree of correlation that recruitment requires, need to obtain their initial matching value, obtain the step of user's initial matching value as shown in Figure 2:
S41. obtaining user's microblogging label, obtain the keyword R ' extracting in the information that user issues on microblogging platform, is foundation by label substance and the key words content that obtains, obtains user-dependent keyword;
S42. judge the relation of the user list obtaining in user and S3, the list under judgement user;
S43. when user belongs to U
itime, by U
ithe similarity of corresponding zero energy value * user keyword and recruitment keyword is added in user's initial matching value, and traversal S3 kind can obtain targeted customer's initial matching value after must all user lists, that is:
α (R') wherein, α (R) represents respectively keyword word frequency vector,
Target of the present invention is to obtain user and the tolerance of recruiting the degree of correlation requiring, and the degree of correlation algorithm that the method for obtaining the degree of correlation in method is in the present invention got along well common is the same, the matching degree that the degree of correlation that he not only relies on userspersonal information and recruitment to require decides user and recruitment to require, but the degree of correlation that one-level friend by user and recruitment require and user's secondary friend and the degree of correlation that recruitment requires determine jointly, the step of the degree of correlation as shown in Figure 3:
S51. 2 step is obtained user's one-level friend's initial matching value with reference to the accompanying drawings;
S52. 2 step is obtained user's secondary friend's initial matching value with reference to the accompanying drawings;
S53. the degree of correlation that user and recruitment require, the degree of correlation that not only relies on user itself and recruitment to require determines, user's social networks forms the degree of correlation that also can reflect that user and recruitment require, if user's good friend and recruitment require the degree of correlation higher, user itself is also more approaching with the requirement of this position so, the degree of correlation that user and recruitment require and user good friend's sum are inverse correlation relation, therefore calculate user as follows with the computing formula of recruiting the degree of correlation requiring:
Wherein
represent the degree of correlation that user j and recruitment require,
represent the one-level friend relevant to user j,
Although above the illustrative embodiment of the present invention is described; so that those skilled in the art understand the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various variations appended claim limit and definite the spirit and scope of the present invention in, these variations are apparent, all utilize innovation and creation that the present invention conceives all at the row of protection.
Claims (5)
1. the recruitment information matching process based on social networks, is characterized in that, comprises the following steps:
1), HR issues recruitment information, and obtains the keyword of recruitment information; In HRJi enterprise, be responsible for the development of human resources and the staff of planning;
2), the keyword in the keyword set obtaining is carried out to prioritization, its medium priority determines according to the degree of correlation of keyword and position vacant information, and the degree of correlation is higher, and priority is higher, and according to the height of priority, each keyword is composed with weights;
3), by key word information, be taken at the most suitable person that position vacant is correlated with.
2. the recruitment information matching process based on social networks according to claim 1, described in obtain recruitment information keyword set step be:
1), HR issues recruitment information, and inputs recruitment keyword;
2), program extracts additional key word from the concrete recruitment information of HR issue;
3), by 1) and 2) plant the keyword obtain and get union and obtain keyword set R.
3. the recruitment information matching process based on social networks according to claim 1, it is characterized in that, describedly by key word information, obtain the most suitable person that position vacant is correlated with, its feature is not only to rely on application object information to judge whether he is applicable to the position that will recruit, but the degree of correlation of the targeted customer's who obtains by the API providing in its social networks one-level good friend and secondary good friend and position vacant is judged whether applicable this position of this object; The steps include:
1), utilize respectively keyword in the search R such as microblogging search API, good friend's user tag to obtain user list U1, U2, Un, and each class user list is composed with zero energy value to represent user in this user list and the degree of correlation of position vacant, this zero energy value determines according to the number of gained user list, is 1/n;
2), the keyword that extracts in the information issued on microblogging platform by the good friend's label in HR user's friend information and good friend is foundation, obtains user's initial matching value;
3), according to 2) in the initial matching value that obtains calculate and obtain the degree of correlation that user and recruitment require.
4. the recruitment information matching process based on social networks according to claim 1, it is characterized in that, step 3 in claim 3) before calculating the degree of correlation of targeted customer and HR recruitment requirement, need to know user's one-level friend and secondary friend and the degree of correlation of recruiting requirement, need to obtain their initial matching value, obtain the step of user's initial matching value:
1) obtaining user's microblogging label, obtain the keyword extracting in the information that user issues on microblogging platform, is foundation by label substance and the key words content that obtains, obtains user-dependent keyword;
2) relation of the user list obtaining judgement user and 1), the list under judgement user;
3) when user belongs to U
itime, by U
ithe similarity of corresponding zero energy value * user keyword and recruitment keyword is added in user's initial matching value, and traversal S3 kind can obtain targeted customer's initial matching value after must all user lists, that is:
5. the recruitment information matching process based on social networks according to claim 1, it is characterized in that, target of the present invention is to obtain user and the tolerance of recruiting the degree of correlation requiring, and the degree of correlation algorithm that the method for obtaining the degree of correlation in method is in the present invention got along well common is the same, the matching degree that the degree of correlation that he not only relies on userspersonal information and recruitment to require decides user and recruitment to require, but by user's one-level friend, jointly determine the step of the degree of correlation with the degree of correlation of the degree of correlation of recruitment requirement and user's secondary friend and recruitment requirement:
1), obtain user's one-level friend's initial matching value;
2), obtain user's secondary friend's initial matching value;
3) degree of correlation that, user and recruitment require, the degree of correlation that not only relies on user itself and recruitment to require determines, user's social networks forms the degree of correlation that also can reflect that user and recruitment require, if user's good friend and recruitment require the degree of correlation higher, user itself is also more approaching with the requirement of this position so, the degree of correlation that user and recruitment require and user good friend's sum are inverse correlation relation, therefore calculate user as follows with the computing formula of recruiting the degree of correlation requiring:
Wherein
represent the degree of correlation that user j and recruitment require,
represent the one-level friend relevant to user j,
represent the one-level friend number relevant to user i,
represent the initial matching value that user i and recruitment require.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104202319A (en) * | 2014-08-28 | 2014-12-10 | 北京淘友天下科技发展有限公司 | Method and device for social relation recommendation |
| CN104731906A (en) * | 2015-03-24 | 2015-06-24 | 浪潮集团有限公司 | Automatic recruiting website resume pushing method |
| CN105303333A (en) * | 2015-12-01 | 2016-02-03 | 百度在线网络技术（北京）有限公司 | Recruitment information processing method and device |
| CN106203935A (en) * | 2015-06-11 | 2016-12-07 | 唐锐 | Technical capability evaluation based on user-generated content and customer relationship and Postmatch method |
| CN106372858A (en) * | 2016-09-12 | 2017-02-01 | 成都集致生活科技有限公司 | Recruitment system of building industry, and application method thereof |
| CN106487860A (en) * | 2015-09-01 | 2017-03-08 | 北京海因科技有限公司 | The processing method and processing device of job information |
| CN107656918A (en) * | 2017-05-10 | 2018-02-02 | 平安科技（深圳）有限公司 | Obtain the method and device of targeted customer |
| CN109582704A (en) * | 2018-10-17 | 2019-04-05 | 龙马智芯（珠海横琴）科技有限公司 | Recruitment information and the matched method of job seeker resume |
| CN109978498A (en) * | 2019-03-15 | 2019-07-05 | 河北冀联人力资源服务集团有限公司 | Mission bit stream processing method and processing device |
| CN110263148A (en) * | 2019-06-27 | 2019-09-20 | 中国工商银行股份有限公司 | Intelligent resume selection method and device |
| CN110968771A (en) * | 2018-09-29 | 2020-04-07 | 北京淘友天下技术有限公司 | Position recommendation cold start method and system based on friendship |
| CN112966966A (en) * | 2021-03-25 | 2021-06-15 | 上海柏观数据科技有限公司 | Talent introduction index control method for introduced talent matching |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104202319B (en) * | 2014-08-28 | 2018-05-29 | 北京淘友天下科技发展有限公司 | A kind of social networks recommend method and device |
| CN104202319A (en) * | 2014-08-28 | 2014-12-10 | 北京淘友天下科技发展有限公司 | Method and device for social relation recommendation |
| CN104731906A (en) * | 2015-03-24 | 2015-06-24 | 浪潮集团有限公司 | Automatic recruiting website resume pushing method |
| CN106203935A (en) * | 2015-06-11 | 2016-12-07 | 唐锐 | Technical capability evaluation based on user-generated content and customer relationship and Postmatch method |
| CN106203935B (en) * | 2015-06-11 | 2019-11-05 | 唐锐 | Technical capability evaluation and Postmatch method based on user-generated content and customer relationship |
| CN106487860A (en) * | 2015-09-01 | 2017-03-08 | 北京海因科技有限公司 | The processing method and processing device of job information |
| CN105303333A (en) * | 2015-12-01 | 2016-02-03 | 百度在线网络技术（北京）有限公司 | Recruitment information processing method and device |
| CN106372858A (en) * | 2016-09-12 | 2017-02-01 | 成都集致生活科技有限公司 | Recruitment system of building industry, and application method thereof |
| CN107656918A (en) * | 2017-05-10 | 2018-02-02 | 平安科技（深圳）有限公司 | Obtain the method and device of targeted customer |
| CN110968771A (en) * | 2018-09-29 | 2020-04-07 | 北京淘友天下技术有限公司 | Position recommendation cold start method and system based on friendship |
| CN110968771B (en) * | 2018-09-29 | 2024-05-28 | 北京淘友天下技术有限公司 | Job recommendation cold start method and system based on friendship relationship |
| CN109582704A (en) * | 2018-10-17 | 2019-04-05 | 龙马智芯（珠海横琴）科技有限公司 | Recruitment information and the matched method of job seeker resume |
| CN109582704B (en) * | 2018-10-17 | 2019-10-25 | 龙马智芯（珠海横琴）科技有限公司 | Recruitment information and the matched method of job seeker resume |
| CN109978498A (en) * | 2019-03-15 | 2019-07-05 | 河北冀联人力资源服务集团有限公司 | Mission bit stream processing method and processing device |
| CN110263148A (en) * | 2019-06-27 | 2019-09-20 | 中国工商银行股份有限公司 | Intelligent resume selection method and device |
| CN112966966A (en) * | 2021-03-25 | 2021-06-15 | 上海柏观数据科技有限公司 | Talent introduction index control method for introduced talent matching |
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