Auto-reading CVs for ranking of candidates based on CV job match score (Record no. 10073)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
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035 ## - SYSTEM CONTROL NUMBER
System control number .b12421431
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT PJPR PMDS no.22-02
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Tran Huu Cuong
245 10 - TITLE STATEMENT
Title Auto-reading CVs for ranking of candidates based on CV job match score
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent 46 leaves :
Other physical details ill.+
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Project ;
Volume/sequential designation no. PJPR PMDS-22-02
500 ## - GENERAL NOTE
General note A project study submitted in partial fulfillment of the requirements for the degree of Professional Master in Data Science and Artificial Intelligence Applications, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Professional Master in Data Science and Artificial Intelligence Applications - Asian Institute of Technology, 2022
520 ## - SUMMARY, ETC.
Summary, etc. Shortlisting the right candidate is an important job in the recruitment process of recruitment companies. Currently, the current process of this task remains manual and sometimes heavily depends on the skills of the recruiting staff. Firstly, the recruiting staff must carefully read all the information written in the candidate's CV and input them into the recruitment system or also an excel file. Secondly, the recruiting staff rely on a number of criteria in the job requirements and then filter candidates based on their personal experience to find a pull of potential candidates for the next round of interviews. Therefore, a system, Auto-reading CVs for ranking of candidates based on CV Job Match Score, is proposed to automate the previous process with the aim of saving both time and effort for recruitment organizations. In this study, I did some experiments to compare the results with studies LayoutML(Xu et al. 2020; Xu et al. 2020; Huang et al. 2022) and using experience-based input feature sets depending on the placement of text lines and keywords, then construct a rule basis and group information sources using a clustering approach to evaluate the efficiency of information extraction in CVs. Our key findings are that LayoutMLv3 represents the superiority of the current methods that the company is applying. The project can help the company have positive reviews about using LayoutMLv3 for potential projects in the future when our company faces flexible forms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cover letters
General subdivision Data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Employee selection
General subdivision Data processing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dailey, Matthew N.,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Chutiporn Anutariya,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Chaklam Silpasuwanchai,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element VNPT,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Project ;
Volume/sequential designation no. PJPR PMDS-22-02
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B20524">http://203.159.5.9/ait-thesis/detail.php?q=B20524</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 240404
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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Koha item type 67-Electronic Resource
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Koha item type 40-Archives
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Barcode Barcode : -
CREATED CREATED : 2024-02-28
RECORD Id RECORD # : i13487656
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Barcode Barcode : 30050120899272
CREATED CREATED : 2025-06-03
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Price effective from Koha item type Barcode Copy number
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT PJPR PMDS no.22-02 17/08/2026 17/08/2026 67-Electronic Resource    
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT PJPR PMDS no.22-02 17/08/2026 17/08/2026 40-Archives 30050120899272 1
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