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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/9220
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dc.contributor.authorFan, Sze Wing Jessicaen_US
dc.date.accessioned2020-01-16T02:30:52Z-
dc.date.available2020-01-16T02:30:52Z-
dc.date.issued2019en_US
dc.identifier.other2019csfswj198en_US
dc.identifier.urihttp://dspace.cityu.edu.hk/handle/2031/9220-
dc.description.abstractResume is a document which shows the background, accomplishments and experience of a job candidate. In every recruitment event, there are considerable resumes received from applicants. Human Resource (HR) staff have to manually screen every resume and shortlist the appropriate candidates. It is a time-consuming and tedious task for HR personnel. When the recruitment schedule is tight, HR staff can only choose some of the qualified resumes and screen them perfunctorily. Consequently, the talented applicants are lost. Recently, there are abundant online recruitment services provided to the employers and the job seekers, which results in information explosion on the job descriptions and the resumes. The employees require a wise method to adapt the job seeking candidates to appropriate jobs To address the problem, an artificial intelligence (AI) recruitment system is developed to use a smarter approach on resume filtering and ranking to highlight the potential resumes based on the matching degree between the skill sets, related experience and education from resume, and the requirements from job description. Therefore, it can mitigate the effort, time and workload of HR personnel to seek the appropriate applicants for the job.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleHuman Resources Information Systemen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.description.supervisorSupervisor: Dr. Wong, Ka Chun; First Reader: Dr. Song, Linqi; Second Reader: Prof. Wang, Lushengen_US
Appears in Collections:Computer Science - Undergraduate Final Year Projects 

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