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LinkedIn upgrades its job applicant matching systems

The number of profiles reached 690 million on LinkedIn due to the unmatched career and education database. Now is the time when LinkedIn should update its job applicant matchings so that the right individual is hired for the right job. This will enhance the recruitment outcomes for the interested candidates as well as for the recruiters.

With the use of the dataset, LinkedIn is likely to contrive the accurate candidate recommendations for the job based on similar opportunities and companies. However, it could also lead to an unintentional biasness and put forward men instead of women for a certain role due to the inferred algorithm that gives suggestions based on companies recruiting history. This is the point where LinkedIn has to deal with super stride.
LinkedIn shared the news of new recruitment updates this week, after which response rates and hiring activity have improved significantly. No other time could be as better for the update as now. Amidst the Covid-19 pandemic, when people have left unemployed, online jobs and remote works are the only way to rescue them. Many recruiters are seeing a vast number of job applications; moreover, several experienced yet unemployed candidates are in the hunt for decent jobs.

LinkedIn regularly experiments and updates its job applicant matching systems for an improved yet accurate service. Improvements are no doubt necessary, but LinkedIn should not forget the unwitting consequences lead by candidate recommendations.

LinkedIn upgrades its job applicant matching systems

LinkedIn upgrades its job applicant matching systems

The number of profiles reached 690 million on LinkedIn due to the unmatched career and education database. Now is the time when LinkedIn should update its job applicant matchings so that the right individual is hired for the right job. This will enhance the recruitment outcomes for the interested candidates as well as for the recruiters.

With the use of the dataset, LinkedIn is likely to contrive the accurate candidate recommendations for the job based on similar opportunities and companies. However, it could also lead to an unintentional biasness and put forward men instead of women for a certain role due to the inferred algorithm that gives suggestions based on companies recruiting history. This is the point where LinkedIn has to deal with super stride.
LinkedIn shared the news of new recruitment updates this week, after which response rates and hiring activity have improved significantly. No other time could be as better for the update as now. Amidst the Covid-19 pandemic, when people have left unemployed, online jobs and remote works are the only way to rescue them. Many recruiters are seeing a vast number of job applications; moreover, several experienced yet unemployed candidates are in the hunt for decent jobs.

LinkedIn regularly experiments and updates its job applicant matching systems for an improved yet accurate service. Improvements are no doubt necessary, but LinkedIn should not forget the unwitting consequences lead by candidate recommendations.

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