CN108763431A - Job information recommends method - Google Patents
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- CN108763431A CN108763431A CN201810508683.XA CN201810508683A CN108763431A CN 108763431 A CN108763431 A CN 108763431A CN 201810508683 A CN201810508683 A CN 201810508683A CN 108763431 A CN108763431 A CN 108763431A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
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Abstract
The present invention provides a kind of job informations to recommend method, is related to internet arena.The job information of the present invention recommends method, second degree of association that current recruitment information calculates current recruitment information and related recruitment information to first degree of association of related recruitment information and according to identical factor is calculated according to linking relationship first, then according to the third degree of association for determining current recruitment information and related recruitment information to second degree of association according to first degree of association；It is finally based on the recommendation recruitment information that the third degree of association determines current recruitment information.Using the above method, the position that user really wants can be quickly and efficiently recommended.
Description
Technical field
The present invention relates to internet arenas, recommend method more particularly to a kind of job information.
Background technology
The development of internet makes people gradually enter information overload epoch, information and its propagation shape from the absence of information epoch
Formula becomes diversification, and demand of the user to information becomes increasingly diversification and personalization.And commending system is exactly to contact user
With the tool of information, on the one hand helps user to find valuable information, on the other hand information is also allowed to be presented in time to it
Before interested user plane.Commending system is recommended from can be generally divided into personalized recommendation and impersonal theory.
Existing recruitment website recommendation is not fine enough, is mainly based upon number of clicks and carries out position recommendation, user is to a certain
Position click checks that often, when user is again turned on webpage, the display order of the position is with regard to forward, but such recommendation method
It is few to analyze the dimension considered, cannot really reflect the position that user really actually wants to, inadequate system, the position of actual recommendation can
Can not be that user really wants.
Invention content
It is an object of the present invention to provide a kind of job information recommendation method, to solve the number when carrying out position recommendation
The problem that amount is big, efficiency is low.
Particularly, the present invention provides a kind of job informations to recommend method, including：
Obtain the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information；
First degree of association of the current recruitment information to related recruitment information is calculated according to the linking relationship；
Acquisition and the current relevant information page of recruitment information determine and have with current recruitment information in described information page
There is the related recruitment information of identical factor；
Second degree of association of current recruitment information and the related recruitment information is calculated according to the identical factor；
According to first degree of association current recruitment information and the related recruitment information are determined to second degree of association
The third degree of association；
The recommendation recruitment information of current recruitment information is determined based on the third degree of association.
Optionally, include and the relevant recruitment information of current recruitment information with the current relevant information page of recruitment information
One or more of page, advertising page, system recommendation page.
Optionally, there is the recruitment information of the related recruitment information of linking relationship to the recruitment information page of current recruitment information
Page include：The page that the recruitment information page of current recruitment information links away and the recruitment information for being linked to current recruitment information
The page of page.
Optionally, the recruitment for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information is obtained
The method of information page includes：
Extract the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information
In include job requirement；
The attribute information of the job requirement of the extraction and the recruitment information to prestore recorded in recruitment information library is carried out
Matching.
Optionally, the recruitment for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information is obtained
The method of information page further includes：
The job requirement of the recruitment information and current recruitment information that prestore described in acquisition recorded in recruitment information library, if institute
State that job requirement is identical or difference within a predetermined range, it is determined that the recruitment information to prestore recorded in recruitment information library is
Related recruitment information, conversely, then ignoring the recruitment information.
Optionally, calculate current recruitment information includes to the method for first degree of association of related recruitment information：
The number that linking relationship is generated between statistical correlation recruitment information and the recruitment information page of current recruitment information, according to
The number determines first degree of association.
Optionally, the third degree of association is the weighted sum of first degree of association and second degree of association.
The job information of the present invention recommends method, calculates current recruitment information according to linking relationship first and believes to related recruitment
First degree of association of breath and second degree of association of the current recruitment information to related recruitment information is calculated according to identical factor, then root
According to the third degree of association for determining current recruitment information and related recruitment information to second degree of association according to first degree of association；Last base
The recommendation recruitment information of current recruitment information is determined in the third degree of association.Using the above method, can quickly and efficiently recommend
The position that user really wants.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Description of the drawings
Some specific embodiments that the invention will be described in detail by way of example and not limitation with reference to the accompanying drawings hereinafter.
Identical reference numeral denotes same or similar component or part in attached drawing.It should be appreciated by those skilled in the art that these
What attached drawing was not necessarily drawn to scale.In attached drawing：
Fig. 1 is the schematic flow chart that job information according to an embodiment of the invention recommends method.
Specific implementation mode
Fig. 1 is the schematic flow chart that job information according to an embodiment of the invention recommends method.As shown in Figure 1,
Job information recommends method, including：
Obtain the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information；
First degree of association of the current recruitment information to related recruitment information is calculated according to linking relationship；
Obtain with the relevant information page of current recruitment information, determine in information page with current recruitment information have it is identical because
The related recruitment information of element；
Second degree of association of the current recruitment information to related recruitment information is calculated according to identical factor；
The third degree of association of current recruitment information and related recruitment information is determined to second degree of association according to first degree of association；
The recommendation recruitment information of current recruitment information is determined based on the third degree of association.
The job information of the present invention recommends method, calculates current recruitment information according to linking relationship first and believes to related recruitment
First degree of association of breath and second degree of association of the current recruitment information to related recruitment information is calculated according to identical factor, then root
According to the third degree of association for determining current recruitment information and related recruitment information to second degree of association according to first degree of association；Last base
The recommendation recruitment information of current recruitment information is determined in the third degree of association.Using the above method, can quickly and efficiently recommend
The position that user really wants.
In a specific embodiment, include relevant with current recruitment information with the relevant information page of current recruitment information
One or more of recruitment information page, advertising page, system recommendation page.It can be effectively associated in this way with the relevant information on the page
Get up.
In a further embodiment, there is the related recruitment of linking relationship to the recruitment information page of current recruitment information
The recruitment information page of information includes：The page and be linked to current recruitment that the recruitment information page of current recruitment information links away
The page of the recruitment information page of information.
In a further embodiment, obtain has the related of linking relationship to the recruitment information page of current recruitment information
The method of the recruitment information page of recruitment information includes：
Extract the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information
In include job requirement；
The job requirement of extraction is matched with the attribute information for prestoring the recruitment information recorded in recruitment information library.
In a further embodiment, obtain has the related of linking relationship to the recruitment information page of current recruitment information
The method of the recruitment information page of recruitment information further includes：
The job requirement for obtaining the recruitment information and current recruitment information that prestore recorded in recruitment information library, if position is wanted
It asks identical or differs within a predetermined range, it is determined that the recruitment information to prestore recorded in recruitment information library is that related recruitment is believed
Breath, conversely, then ignoring recruitment information.
In a further embodiment, the method that calculates current recruitment information and first degree of association of related recruitment information
Including：
The number that linking relationship is generated between statistical correlation recruitment information and the recruitment information page of current recruitment information, according to
Number determines first degree of association.
In a further embodiment, the third degree of association is the weighted sum of first degree of association and second degree of association.
So far, although those skilled in the art will appreciate that present invention has been shown and described in detail herein multiple shows
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or derive many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers other all these variations or modifications.
Claims (7)
1. a kind of job information recommends method, which is characterized in that including：
Obtain the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information；
First degree of association of the current recruitment information to related recruitment information is calculated according to the linking relationship；
Acquisition and the current relevant information page of recruitment information determine there is phase with current recruitment information in described information page
With the related recruitment information of factor；
Second degree of association of current recruitment information and the related recruitment information is calculated according to the identical factor；
The of current recruitment information and the related recruitment information is determined according to first degree of association and second degree of association
Three degrees of association；
The recommendation recruitment information of current recruitment information is determined based on the third degree of association.
2. job information according to claim 1 recommends method, which is characterized in that
With the current relevant information page of recruitment information include with the relevant recruitment information page of current recruitment information, advertising page,
One or more of system recommendation page.
3. job information according to claim 2 recommends method, which is characterized in that
To the recruitment information page of current recruitment information there is the recruitment information page of related recruitment information of linking relationship to include：Currently
The page that the recruitment information page of recruitment information links away and be linked to current recruitment information recruitment information page the page.
4. job information according to claim 3 recommends method, which is characterized in that
Obtain the side of the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information
Method includes：
It extracts and is wrapped in the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information
The job requirement contained；
The job requirement of the extraction is matched with the attribute information for prestoring the recruitment information recorded in recruitment information library.
5. job information according to claim 4 recommends method, which is characterized in that
Obtain the side of the recruitment information page for the related recruitment information that there is linking relationship to the recruitment information page of current recruitment information
Method further includes：
The job requirement of the recruitment information and current recruitment information that prestore described in acquisition recorded in recruitment information library, if being reported
Position requires identical or difference within a predetermined range, it is determined that the recruitment information to prestore recorded in recruitment information library is correlation
Recruitment information, conversely, then ignoring the recruitment information.
6. job information according to claim 1 recommends method, which is characterized in that
Calculate current recruitment information includes to the method for first degree of association of related recruitment information：
The number that linking relationship is generated between statistical correlation recruitment information and the recruitment information page of current recruitment information, according to described
Number determines first degree of association.
7. job information according to claim 1 recommends method, which is characterized in that
The third degree of association is the weighted sum of first degree of association and second degree of association.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810508683.XA CN108763431A (en) | 2018-05-24 | 2018-05-24 | Job information recommends method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810508683.XA CN108763431A (en) | 2018-05-24 | 2018-05-24 | Job information recommends method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108763431A true CN108763431A (en) | 2018-11-06 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810508683.XA Pending CN108763431A (en) | 2018-05-24 | 2018-05-24 | Job information recommends method |
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| Country | Link |
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| CN (1) | CN108763431A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070294092A1 (en) * | 2006-06-15 | 2007-12-20 | Mycredententials, Inc. | System and method for creating and organizing job applicant credential information |
| CN103839172A (en) * | 2012-11-23 | 2014-06-04 | 阿里巴巴集团控股有限公司 | Goods recommendation method and system |
| CN104933239A (en) * | 2015-06-09 | 2015-09-23 | 江苏大学 | Hybrid model based personalized position information recommendation system and realization method therefor |
| CN105069552A (en) * | 2015-07-17 | 2015-11-18 | 沈阳化工大学 | Recruitment system based on ASP |
-
2018
- 2018-05-24 CN CN201810508683.XA patent/CN108763431A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070294092A1 (en) * | 2006-06-15 | 2007-12-20 | Mycredententials, Inc. | System and method for creating and organizing job applicant credential information |
| CN103839172A (en) * | 2012-11-23 | 2014-06-04 | 阿里巴巴集团控股有限公司 | Goods recommendation method and system |
| CN104933239A (en) * | 2015-06-09 | 2015-09-23 | 江苏大学 | Hybrid model based personalized position information recommendation system and realization method therefor |
| CN105069552A (en) * | 2015-07-17 | 2015-11-18 | 沈阳化工大学 | Recruitment system based on ASP |
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Application publication date: 20181106 |