文章基本信息

标题：Job Recommendation Using Facebook Personality Scores
本地全文：下载
作者：Thiam Li Ting ; Kasturi Dewi Varathan
期刊名称：Malaysian Journal of Computer Science
印刷版ISSN：0127-9084
出版年度：2018
卷号：31
期号：4
出版社：University of Malaya * Faculty of Computer Science and Information Technology
摘要：Facebook is one of the most popular social media sites that has become part of our lives. Usergenerated Facebook data are useful and can be used to gauge personality. However, previous studies did not use Facebook data for personality assessment and mapping for professional purposes. The current study mainly aims to identify personality features using usergenerated content in Facebook. A computational score is created and a model is developed by utilizing these scores in job recommendations that match the personality of the user. The personality score of Facebook is benchmarked against the Big Five Inventory (BFI) test score to determine accuracy. The scores of Facebook personality scores and BFI test reached 93.1%. The findings of this study benefits job candidates, especially fresh graduates by assisting them in identifying a career that suits their personality. This study also helps create awareness among individuals by identifying the personality strengths and weaknesses through the use of Facebook information. This study can help employers find candidates who fit the needs of the company by gauging their personality through Facebook data.
关键词：Facebook; personality; big five model; software engineering jobs