But the reality shows that the results are often biased. Because most of the time, the interviewers couldn’t acquire comprehensive information about candidates. The information
they attained always from the candidates’ description. This kind of one-sided and false information leads to the deviation of the results. But now, the Big Data can be well compensated for it. First of all, Big Data provides a broader platform for enterprises’ recruitment work, which is the Internet. According to statistics, China has more than two-thirds of enterprises use online recruitment [3]. Company integrates recruitment into social networking, and constantly gathers resume information and application information, which laid a solid foundation
for the “Big Data” analysis of recruitment. Moreover, even when companies don’t need recruitment, they can also gather information about the candidates persistently. In addition, the combination of social networking sites and recruitment can help recruiter find more information about the candidates, including personal video picture, living conditions, social relationships, ability etc., so that the candidate’s image become more vivid and achieve
accurate “person-post matching” [4]. Of course, during this period of time, the candidates can learn recruitment process information more open and transparent, as well as their degree of compliance with job offers. This can be described as a win-win.