CN113590584A - Talent base construction method based on big data - Google Patents
Talent base construction method based on big data Download PDFInfo
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- CN113590584A CN113590584A CN202110835570.2A CN202110835570A CN113590584A CN 113590584 A CN113590584 A CN 113590584A CN 202110835570 A CN202110835570 A CN 202110835570A CN 113590584 A CN113590584 A CN 113590584A
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- 238000000034 method Methods 0.000 title claims description 10
- 238000009411 base construction Methods 0.000 title claims description 8
- 230000007115 recruitment Effects 0.000 claims abstract description 5
- 238000010276 construction Methods 0.000 claims description 3
- 230000009193 crawling Effects 0.000 claims description 3
- 238000013481 data capture Methods 0.000 claims description 3
- 230000037430 deletion Effects 0.000 claims description 3
- 238000003032 molecular docking Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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Abstract
The captured big data is based on some recruitment websites and publicly available data websites, talent data information is integrated through captured data, the captured data information is classified through programs, the classified data is correspondingly input into basic information of talents, the technical field of the talents and the working life of the talents, relevant talents are captured in databases of various big data, then the data information is screened, compared and integrated, the obtained data information is recorded in the sub-items of the talent record database corresponding to the data information, so that the information of the databases is gradually completed, the building of the databases is realized, the talent information is displayed by a front-end interface for viewing, the intercommunication of talent data is realized, the circulation of talents is increased, all the fields are always in a flowing state, and the phenomenon of delay is avoided.
Description
The technical field is as follows:
the invention belongs to the field of talent data information recording and warehousing methods, and particularly relates to a talent library construction method based on big data.
Background art:
talents in many professional fields can not be excavated in time at present, so that the talent resources are wasted, the talents in the field can also be lost, and the development in the field is slowed down.
Most of the existing talent libraries are talent information of companies, external talent data information cannot be acquired, circulation of talents is slow, research and development capacity of enterprises is reduced, and therefore a comprehensive talent library is needed at present.
The invention content is as follows:
the invention aims to solve the problems and provide a talent base construction method based on big data, which is characterized in that corresponding information is captured on various recruitment information websites, talent websites and even academic websites, and the data information is compared and classified, so that the accuracy of personnel information is ensured, and the information acquired from the individual websites is integrated and summarized, so that the constructed talent base is more comprehensive, and talent information is displayed more accurately.
6. In order to solve the above problems, the present invention provides a technical solution: a talent base construction method based on big data comprises the following specific steps:
t1, building a basic talent database based on MySQL, and performing item division according to contents;
t2, starting to build a data interface for connecting with big data information after finishing building the database;
t3, after the data interface is built and received, a data crawler is built, and data capture is carried out on a database of big data;
t4, after crawling information, the crawler enters a talent library through a data interface, and screening and classifying data information according to a deletion program;
t5, the classified data correspond to the items of the talent database, and the data information is automatically input into the database through a program;
and after the T6 classification entry is finished, managing the database information through a database management interface of MySQL, and finally displaying talent information through a front-end interface built by H5 for recording talent resources.
Preferably, the sub-items of T1 are basic information of talents, technical fields of talents, working years of talents and contributions of talents.
Preferably, the data interface of T2 is a dynamic interface, and corresponding codes are transformed according to different databases of the docking website, so that the interfaces can be docked smoothly.
Preferably, the big data grabbed by the T3 is based on some recruitment websites and data websites which can be published, and talent data information is integrated by grabbing data.
Preferably, the T4 classifies the captured data information by a program, and the classified data is correspondingly entered into the basic information of talents, the technical field of talents and the working life of talents.
The invention has the beneficial effects that: relevant talent information is captured in databases of various big data, then the data information is screened and contrasted and integrated, the obtained data information corresponds to the entry of the talent recording library, so that the information of the databases is gradually completed, the database is built, the talent information is displayed by a front-end interface for watching, the intercommunication of talent data is realized, the traffic of talents is increased, all the fields are always in a flowing state, and the phenomenon of slowness is avoided.
Description of the drawings:
for ease of illustration, the invention is described in detail by the following detailed description and the accompanying drawings.
FIG. 1 is a schematic structural diagram of a flow diagram of the present invention.
The specific implementation mode is as follows:
7. the specific implementation mode adopts the following technical scheme: a talent base construction method based on big data comprises the following specific steps:
t1, building a basic talent database based on MySQL, and performing item division according to contents;
t2, starting to build a data interface for connecting with big data information after finishing building the database;
t3, after the data interface is built and received, a data crawler is built, and data capture is carried out on a database of big data;
t4, after crawling information, the crawler enters a talent library through a data interface, and screening, comparing and classifying the data information according to a deletion program;
t5, the classified data correspond to the items of the talent database, and the data information is automatically input into the database through a program;
and after the T6 classification entry is finished, managing the database information through a database management interface of MySQL, and finally displaying talent information through a front-end interface built by H5 for recording talent resources.
The sub-items of the T1 are that essential information of talents, the technical field of talents, the working life of talents and the working life of talents make contributions, the data interface of the T2 is a dynamic interface, corresponding codes are transformed according to different database of a docking website, the interface is smoothly docked, big data captured by the T3 are based on some recruitment websites and publicly available data websites, talent data information is integrated by capturing data, the captured data information is compared and classified by a program by the T4, and the classified data is correspondingly recorded into the essential information of talents, the technical field of talents and the working life of talents.
Specifically, the method comprises the following steps: firstly, the assembled data crawler is conveyed into a corresponding talent information database or a webpage through a dynamic interface, the crawler captures data, the captured data information is returned to a preposed data program of the talent database through a converted dynamic interface, the captured data is deleted through the program, useless data are deleted, then the data information obtained from each database is compared and summarized to improve the accuracy of the data, the data information is input into the talent database after the comparison and summarization is finished, classified information is subjected to data marking before the data information is input into the database, the data marking corresponds to the name of the subentry data in the database, the talent data information is continuously input into the subentry of the database through the judgment circulation of the data, and the basic information is subdivided into the most basic information such as name, gender and the like, the field of locating is the corresponding field that the talent was located, the working life is long when working in this field, accessible MySQL's rear end management structure interface confirms after the information input, can also carry out artificial modification to the information of database through this interface, further improve the accurate nature of data, can also real-timely carry out artificial update to data, make data information can obtain the most timely feedback, avoid leading to influencing the circulation of talent because of the information update is untimely, the proscenium interface of information accessible H5 in the database of accomplishing at last builds carries out detailed show, be convenient for people to read, increase the circulation of talent, the talent data of keeping a short of life, avoid the loss of talent.
While there have been shown and described what are at present considered to be the fundamental principles of the invention and its essential features and advantages, it will be understood by those skilled in the art that the invention is not limited by the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
Claims (5)
1. A talent base construction method based on big data comprises the following specific steps:
t1, building a basic talent database based on MySQL, and performing item division according to contents;
t2, starting to build a data interface for connecting with big data information after finishing building the database;
t3, after the data interface is built and received, a data crawler is built, and data capture is carried out on a database of big data;
t4, after crawling information, the crawler enters a talent library through a data interface, and screening, comparing and classifying the data information according to a deletion program;
t5, the classified data correspond to the items of the talent database, and the data information is automatically input into the database through a program;
and after the T6 classification entry is finished, managing the database information through a database management interface of MySQL, and finally displaying talent information through a front-end interface built by H5 for recording talent resources.
2. The talent database construction method based on big data according to claim 1, wherein the sub-items of T1 are basic information of talents, technical field of talents, working years of talents and contributions of talents.
3. The talent base construction method based on big data according to claim 1, characterized in that the data interface of T2 is a dynamic interface, and corresponding codes are transformed according to different databases of the docking website, so that the interfaces are docked smoothly.
4. The talent bank construction method based on big data according to claim 1, wherein big data captured by the T3 is based on some recruitment websites and publicable data websites, and talent data information is integrated by capturing data.
5. The talent base construction method based on big data according to claim 1, wherein the T4 compares and classifies the captured data information by programs, and the classified data is correspondingly entered into basic information of talents, technical fields of talents and working years of talents.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1822005A (en) * | 2006-04-07 | 2006-08-23 | 张天山 | Information pushing system and method based on web sit automatic forming and search engine |
CN110457696A (en) * | 2019-07-31 | 2019-11-15 | 福州数据技术研究院有限公司 | A kind of talent towards file data and policy intelligent Matching system and method |
CN112307290A (en) * | 2020-09-18 | 2021-02-02 | 深圳启迪生涯科技有限公司 | Talent information directional capturing method based on Internet |
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- 2021-07-23 CN CN202110835570.2A patent/CN113590584A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1822005A (en) * | 2006-04-07 | 2006-08-23 | 张天山 | Information pushing system and method based on web sit automatic forming and search engine |
CN110457696A (en) * | 2019-07-31 | 2019-11-15 | 福州数据技术研究院有限公司 | A kind of talent towards file data and policy intelligent Matching system and method |
CN112307290A (en) * | 2020-09-18 | 2021-02-02 | 深圳启迪生涯科技有限公司 | Talent information directional capturing method based on Internet |
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