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DC Field | Value | Language |
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dc.contributor.author | Fan, Sze Wing Jessica | en_US |
dc.date.accessioned | 2020-01-16T02:30:52Z | - |
dc.date.available | 2020-01-16T02:30:52Z | - |
dc.date.issued | 2019 | en_US |
dc.identifier.other | 2019csfswj198 | en_US |
dc.identifier.uri | http://dspace.cityu.edu.hk/handle/2031/9220 | - |
dc.description.abstract | Resume 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.rights | This 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.rights | Access is restricted to CityU users. | en_US |
dc.title | Human Resources Information System | en_US |
dc.contributor.department | Department of Computer Science | en_US |
dc.description.supervisor | Supervisor: Dr. Wong, Ka Chun; First Reader: Dr. Song, Linqi; Second Reader: Prof. Wang, Lusheng | en_US |
Appears in Collections: | Computer Science - Undergraduate Final Year Projects |
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fulltext.html | 149 B | HTML | View/Open |
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