CN106844771A - A kind of information processing method and device based on text matches - Google Patents
A kind of information processing method and device based on text matches Download PDFInfo
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- CN106844771A CN106844771A CN201710112732.3A CN201710112732A CN106844771A CN 106844771 A CN106844771 A CN 106844771A CN 201710112732 A CN201710112732 A CN 201710112732A CN 106844771 A CN106844771 A CN 106844771A
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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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
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Abstract
The invention provides a kind of information processing method and device based on text matches, can be used for realizing the autotext matching of job hunting data and recruitment data, so as to build one towards job hunter and the bi-directional platform of the person of holding office.Specifically, participle and quantization are carried out by by job hunting data and recruitment data, can shows succinct blunt matching degree information high for both sides, so as to lift engagement efficiency, reduce talent waste.
Description
Technical field
The present invention relates to field of information processing, and in particular to a kind of information processing method and device based on text matches.
Background technology
Existing recruitment and job hunting website is only the APPization of Internet PC terminals, is also limited to common recruitment and job hunting
Website, the video capability or payment function of the more deepenings having, but according to the information between job hunter and the person of holding office
It is still unsound with function, the most appropriate person of holding office is difficult to find that so as to result in job hunter, and the person of holding office also is difficult to find that most
Be suitable human resources, so as to result in the talent waste and engagement efficiency it is low.
The content of the invention
In order to solve the above-mentioned technical problem, the present invention provides a kind of information processing method and device based on text matches.
The present invention is realized with following technical scheme：
A kind of information processing method based on text matches, including：
Obtain the information of first user and by the Data Enter database of the first user, the information of the first user
Personal essential information and scale information including first user；
Obtain the information of second user and by the Data Enter database of the second user, the information of the second user
Matching degree is expected in essential information including second user, vacancy post information and vacancy post；
For the second user selected, the information of the information of each first user and the selected second user is entered
Row text matches are obtaining matching degree；
If matching degree is selected more than the expectation matching degree of the second user, corresponding first user；
The information of selected first user is presented to the second user.
Further, also include：
For the first user selected, the information of the information of each second user and the selected first user is entered
Row text matches are obtaining matching degree；
If the matching degree is selected more than the expectation matching degree of the second user, the second user；
The information of selected second user is presented to the first user.
Further, the text matches include：
Extract the keyword of the information of first user；
Extract the keyword of the information of second user；
Weight in each text of each keyword for extracting in database is calculated according to the word frequency list for prestoring；Institute
The frequency of occurrences stated in each text of the word frequency list according to each word in database is periodically updated；
According to the weight in each text of each keyword being calculated in database, the first user is calculated
The matching degree of the information of information and the second user.
Further, the word frequency list is set according to default matched rule, if the matched rule is changed, institute
Word frequency list is stated also to be changed.
Further, also include：
According to the height of matching degree, the information of selected second user is presented to the first user from high to low.
Further, according to the height of matching degree, the information of selected first user is presented to from high to low described
Second user.
Further, also include：
If first user and second user both sides select mutually, the IMU between first user and second user is opened
Letter window.
A kind of information processor based on text matches, including：
First data acquisition module, for obtaining the information of first user and by the Data Enter data of the first user
Storehouse, the information of the first user includes the personal essential information and scale information of first user；
Second data acquisition module, for obtaining the information of second user and by the Data Enter data of the second user
Storehouse, the information of the second user includes that matching is expected in essential information, vacancy post information and the vacancy post of second user
Degree；
First matching module, for the second user for selecting, by the information of each first user and described selected
The information of second user text matches are carried out to obtain matching degree；
First chosen module, if the expectation matching degree for matching degree more than the second user, corresponding first uses
Family is selected；
First is presented module, for the information of selected first user to be presented into the second user.
Second matching module, for the first user for selecting, by the information of each second user and described selected
The information of first user text matches are carried out to obtain matching degree；
Second chosen module, if the expectation matching degree for the matching degree more than the second user, described second
User is selected；
Second is presented module, for the information of selected second user to be presented into the first user；
Further, the first matching module and the second matching module include：
Keyword extracting unit, the key for extracting the keyword of the information of first user and the information of second user
Word；
Weight extraction unit, each keyword for the word frequency list calculating extraction prestored for basis is in database
Weight in each text；The frequency of occurrences in each text of the word frequency list according to each word in database is periodically more
Newly；
Matching degree computing unit, for the power in each text according to each keyword being calculated in database
Weight, calculates the matching degree of the information of the first user and the information of the second user.
Further, also include：
Sequencing unit, for being ranked up to first user or second user according to matching degree height.
The beneficial effects of the invention are as follows：
The invention provides a kind of information processing method and device based on text matches, can be used for realizing job hunting data
Autotext with recruitment data is matched, so as to build one towards job hunter and the bi-directional platform of the person of holding office.Specifically, pass through
Job hunting data and recruitment data are carried out into participle and quantization, succinct blunt matching degree information high can be showed for both sides,
So as to lift engagement efficiency, talent waste is reduced.
Brief description of the drawings
Fig. 1 is a kind of information processing method flow chart based on text matches of invention.
Fig. 2 is text matching technique flow chart of the invention.
Fig. 3 is a kind of information processor block diagram based on text matches of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made into one below in conjunction with accompanying drawing
Step ground is described in detail.
Embodiment 1:
A kind of information processing method based on text matches, including：
Step 101, obtains the information of first user and by the Data Enter database of the first user, and described first uses
The information at family includes the personal essential information and scale information of first user.
Specifically, for recruiting software, the first user can be job hunter, the packet of the first user
Include the personal information and scale information of job hunter.
Such as, the scale information can be measurement of personality table；Occupational interest measure table and/or Competency Model scale.
The personal information of the job hunter can include personal essential information, can specifically include name, the age, sex,
Health status, height, body weight, educational background, graduation universities and colleges, vocational certificate etc.；Work experience can also be included, can specifically be included single
Position, position, time, achievement etc.；Can also include job intension, specifically can include industry, area, position, pay level with
And other particular/special requirements.
Step 102, obtains the information of second user and by the Data Enter database of the second user, and described second uses
The information at family includes that matching degree is expected in essential information, vacancy post information and the vacancy post of second user.
Specifically, for recruiting software, the second user can be the person of holding office, the packet of the second user
Matching degree is expected in essential information, vacancy post information and the vacancy post for including the person of holding office.Specifically, vacancy post information and sky
The position expectation matching degree that leaves without getting permission is corresponded, i.e., matching degree is expected in one vacancy post, one vacancy post of information correspondence.
The essential information of the person of holding office can include enterprise's essential information, such as Business Name, area, property, scale
Deng；Vacancy post information can include vacancy post title, responsibilities keyword, post competency model, offer firewood
Reward scope, particular/special requirement etc..
Step 103, for the second user selected, by the information of each first user and the selected second user
Information text matches are carried out to obtain matching degree.
Step 104, if matching degree is more than the expectation matching degree of the second user, corresponding first user is selected.
Step 105, the second user is presented to by the information of selected first user.
Specifically, the information of selected first user can be presented to institute from high to low according to the height of matching degree
State second user.The first user (job hunter) that the post of second user (person of holding office) offer will be suitable for is presented to the second use
Family (person of holding office).Specific presentation mode can be presented by computer webpage, mobile phone app interfaces etc..Presentation content can include
The matching degree of sequence number, the name of first user and first user.If second user (person of holding office) is selected a first user and (is asked
Duty person), can also further browse the details of the first user (job hunter), such as resume.
Further, also include：
Step 106, for the first user selected, by the information of each second user and the selected first user
Information text matches are carried out to obtain matching degree；
Step 107, if the matching degree is more than the expectation matching degree of the second user, the second user is chosen
It is fixed；
Step 108, the first user is presented to by the information of selected second user.
There is no clear and definite precedence relationship between step 103-105 and step 106-108 specifically.
Specifically, the information of selected second user can be presented to institute from high to low according to the height of matching degree
State first user.The second user (person of holding office) that the post of first user (job hunter) application will be suitable for is presented to the first use
Family (job hunter).Specific presentation mode can be presented by computer webpage, mobile phone app interfaces etc..Presentation content can include
The post of sequence number, the title of second user and offer, and the post matching degree.If first user (job hunter) is selected
One second user (person of holding office), can also further browse the details of institute's second user (person of holding office), such as enterprise's letter
Breath.
Further, as shown in Fig. 2 text matching technique includes：
S1, extracts the keyword of the information of first user；
S2, extracts the keyword of the information of second user；
S3, the power in each text of each keyword for extracting in database is calculated according to the word frequency list for prestoring
Weight；The frequency of occurrences in each text of the word frequency list according to each word in database is periodically updated；
S4, according to the weight in each text of each keyword being calculated in database, calculates described first and uses
The matching degree of the information of the information at family and the second user.
Further, the word frequency list is set according to default matched rule, if the matched rule is changed, institute
Word frequency list is stated also to be changed.
Further, if first user (job hunter) and second user (person of holding office) both sides select mutually, first is opened
Instant communication windows between user and second user.Can enter between first user (job hunter) and second user (person of holding office)
Row text conversation and video interview, can also show that the work that second user (person of holding office) is provided is closed in the instant communication windows
With and first user (job hunter) to the feedback opinion of contract, and advise that the training into trade-before is charged and supplement other data
Etc. function, so as to simply and efficiently solve the problems, such as recruitment and job hunting.
Embodiment 2：
A kind of information processor based on text matches, as shown in figure 3, including：
First data acquisition module 201, for obtaining the information of first user and by the Data Enter of the first user
Database, the information of the first user includes the personal essential information and scale information of first user；
Second data acquisition module 202, for obtaining the information of second user and by the Data Enter of the second user
Database, the information of the second user includes that essential information, vacancy post information and the vacancy post of second user are expected
Matching degree；
First matching module 203, for the second user for selecting, by the information of each first user and the choosing
The information of fixed second user carries out text matches to obtain matching degree；
First chosen module 204, if the expectation matching degree for matching degree more than the second user, corresponding first
User is selected；
First is presented module 205, for the information of selected first user to be presented into the second user；
Second matching module 206, for the first user for selecting, by the information of each second user and the choosing
The information of fixed first user carries out text matches to obtain matching degree；
Second chosen module 207, if the expectation matching degree for the matching degree more than the second user, described the
Two users are selected；
Second is presented module 208, for the information of selected second user to be presented into the first user.
Further, the first matching module 203 and the second matching module 206 include：
Keyword extracting unit, the key for extracting the keyword of the information of first user and the information of second user
Word；
Weight extraction unit, each keyword for the word frequency list calculating extraction prestored for basis is in database
Weight in each text；The frequency of occurrences in each text of the word frequency list according to each word in database is periodically more
Newly；
Matching degree computing unit, for the power in each text according to each keyword being calculated in database
Weight, calculates the matching degree of the information of the first user and the information of the second user.
Further, also include：
Sequencing unit 209, for being ranked up to first user or second user according to matching degree height.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of information processing method based on text matches, it is characterised in that including：
Obtain the information of first user and by the Data Enter database of the first user, the information of the first user includes
The personal essential information and scale information of first user；
Obtain the information of second user and by the Data Enter database of the second user, the information of the second user includes
Matching degree is expected in the essential information of second user, vacancy post information and vacancy post；
For the second user selected, the information of the information of each first user and the selected second user is entered into style of writing
This matching is obtaining matching degree；
If matching degree is selected more than the expectation matching degree of the second user, corresponding first user；
The information of selected first user is presented to the second user.
2. method according to claim 1, it is characterised in that also include：
For the first user selected, the information of the information of each second user and the selected first user is entered into style of writing
This matching is obtaining matching degree；
If the matching degree is selected more than the expectation matching degree of the second user, the second user；
The information of selected second user is presented to the first user.
3. method according to claim 1 and 2, it is characterised in that the text matches include：
Extract the keyword of the information of first user；
Extract the keyword of the information of second user；
Weight in each text of each keyword for extracting in database is calculated according to the word frequency list for prestoring；Institute's predicate
The frequency of occurrences in each text of the frequency table according to each word in database is periodically updated；
According to the weight in each text of each keyword being calculated in database, the information of the first user is calculated
With the matching degree of the information of the second user.
4. method according to claim 3, it is characterised in that the word frequency list is set according to default matched rule
Fixed, if the matched rule is changed, the word frequency list is also changed.
5. method according to claim 2, it is characterised in that also include：
According to the height of matching degree, the information of selected second user is presented to the first user from high to low.
6. method according to claim 1, it is characterised in that according to the height of matching degree, from high to low will be selected
The information of first user is presented to the second user.
7. method according to claim 1, it is characterised in that also include：
If first user and second user both sides select mutually, the instant messaging window between first user and second user is opened
Mouthful.
8. a kind of information processor based on text matches, it is characterised in that including：
First data acquisition module, for obtaining the information of first user and by the Data Enter database of the first user,
The information of the first user includes the personal essential information and scale information of first user；
Second data acquisition module, for obtaining the information of second user and by the Data Enter database of the second user,
The information of the second user includes that matching degree is expected in essential information, vacancy post information and the vacancy post of second user；
First matching module, for the second user for selecting, by the information of each first user and described selected the
The information of two users carries out text matches to obtain matching degree；
First chosen module, if the expectation matching degree for matching degree more than the second user, corresponding first user quilt
It is selected；
First is presented module, for the information of selected first user to be presented into the second user；
Second matching module, for the first user for selecting, by the information of each second user and described selected the
The information of one user carries out text matches to obtain matching degree；
Second chosen module, if the expectation matching degree for the matching degree more than the second user, the second user
It is chosen；
Second is presented module, for the information of selected second user to be presented into the first user.
9. device according to claim 8, it is characterised in that the first matching module and the second matching module include：
Keyword extracting unit, the keyword for extracting the keyword of the information of first user and the information of second user；
Weight extraction unit, for calculating each text of each keyword for extracting in database according to the word frequency list for prestoring
Weight in this；The frequency of occurrences in each text of the word frequency list according to each word in database is periodically updated；
Matching degree computing unit, for the weight in each text according to each keyword being calculated in database, meter
Calculate the matching degree of the information of the first user and the information of the second user.
10. device according to claim 8, it is characterised in that also include：
Sequencing unit, for being ranked up to first user or second user according to matching degree height.
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Cited By (3)
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| CN108229924A (en) * | 2018-01-31 | 2018-06-29 | 广州市全周至程软件技术有限公司 | Recruitment information matching process, device and computer readable storage medium |
| CN109740046A (en) * | 2018-11-22 | 2019-05-10 | 北京网聘咨询有限公司 | Aerial double choosings based on internet recruitment can platform |
| CN110472647A (en) * | 2018-05-10 | 2019-11-19 | 百度在线网络技术（北京）有限公司 | Secondary surface method for testing, device and storage medium based on artificial intelligence |
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| CN108229924A (en) * | 2018-01-31 | 2018-06-29 | 广州市全周至程软件技术有限公司 | Recruitment information matching process, device and computer readable storage medium |
| CN110472647A (en) * | 2018-05-10 | 2019-11-19 | 百度在线网络技术（北京）有限公司 | Secondary surface method for testing, device and storage medium based on artificial intelligence |
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| Publication number | Publication date |
|---|---|
| CN106844771B (en) | 2018-05-11 |
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