CN113590584A - Talent base construction method based on big data - Google Patents

Talent base construction method based on big data Download PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
data
talent
information
talents
database
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110835570.2A
Other languages
Chinese (zh)
Inventor
王湘滨
张珣杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuxi Haichuang Wisdom Valley Technology Co ltd
Original Assignee
Wuxi Haichuang Wisdom Valley Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuxi Haichuang Wisdom Valley Technology Co ltd filed Critical Wuxi Haichuang Wisdom Valley Technology Co ltd
Priority to CN202110835570.2A priority Critical patent/CN113590584A/en
Publication of CN113590584A publication Critical patent/CN113590584A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/211Schema design and management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2228Indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • G06F16/287Visualization; Browsing

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

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

Talent base construction method based on big data
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.
CN202110835570.2A 2021-07-23 2021-07-23 Talent base construction method based on big data Pending CN113590584A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110835570.2A CN113590584A (en) 2021-07-23 2021-07-23 Talent base construction method based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110835570.2A CN113590584A (en) 2021-07-23 2021-07-23 Talent base construction method based on big data

Publications (1)

Publication Number Publication Date
CN113590584A true CN113590584A (en) 2021-11-02

Family

ID=78249216

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110835570.2A Pending CN113590584A (en) 2021-07-23 2021-07-23 Talent base construction method based on big data

Country Status (1)

Country Link
CN (1) CN113590584A (en)

Citations (3)

* Cited by examiner, † Cited by third party
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
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

Similar Documents

Publication Publication Date Title
CN109522312B (en) Data processing method, device, server and storage medium
US20120072435A1 (en) Multidimensional tags
CN106407278A (en) Architecture design system of big data platform
US20190050814A1 (en) Generation of user profile from source code
Corallo et al. Understanding and defining dark data for the manufacturing industry
CN101477522A (en) Systems for collecting and analyzing business intelligence data
CN103455896A (en) Paperless assembling quality control method based on internet of things
CN103473324A (en) Multi-dimensional service attribute retrieving device and method based on unstructured data storage
CN114880405A (en) Data lake-based data processing method and system
CN111522950A (en) Rapid identification system for unstructured massive text sensitive data
CN115827862A (en) Associated acquisition method for multivariate expense voucher data
CN115309749A (en) Big data experiment system for scientific and technological service
CN108446380B (en) System for improving industrial quality level based on modular information storage structure
US20080313175A1 (en) Method and system for interaction-based expertise reporting
CN112395371B (en) Financial institution asset classification processing method, device and readable medium
CN109947705B (en) System and method for accessing petroleum engineering data
CN103258047A (en) Data organization method of data warehouse for controlling operation cost of medicine enterprise
CN111966922A (en) Smart city data migration and storage management system based on Internet
CN113590584A (en) Talent base construction method based on big data
Su et al. Business intelligence revisited
Hodinka et al. Business intelligence in Environmental reporting powered by XBRL
CN201142074Y (en) Information resource integration system
Su et al. [Retracted] Design and Application of Intelligent Management Platform Based on Big Data
CN112287110A (en) Post intelligent classification method and device for recruitment data
Prasad et al. Scalable and Flexible Big Data Analytic Framework (SFBAF) For Big Data Processing and Knowledge Extraction

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination