LinkedIn updates its recruitment algorithms for improved job response rates and better chances of hiring

LinkedIn as recently announced an interesting update in its recruitment algorithms. Harboring more than 690 million profiles and a completely unmatched database and history of helping people in looking for suitable jobs and helping organizations in helping them recruit the best candidates from its database, LinkedIn is not a new name in the corporate world.

Its development teams not only keep on looking for ways of improvement, it keeps on paving more paths for almost everyone out there.

And now, with the latest updates in its recruitment algorithms, it is seeing some amazing response rates and improved hiring activity.

To make the recruitment process more efficient, they have built a new Qualified Applicant Artificial Intelligence model. This model learns all the skills and experience that hirers look for in the applicants. This judgment is based on the activity and engagement of the hirer with past candidates.

This is quite an interesting and almost fool-proof way for the LinkedIn members to find jobs that match best with their profiles, skillset, and experience. This model will also ensure that the hirers do not miss out or overlook promising candidates.

As per LinkedIn, this Qualified Applicant AI model will predict the likelihood of an applicant to get a response for a particular job. With the help of this model, LinkedIn can predict the probability of getting a positive recruiter action based on a particular member applying for a particular job.

LinkedIn has been playing around with applicant recommendation processes. In 2019, they added the famous AI-facilitated candidate recommendation within its Recruiter Platform. Before that, LinkedIn had brought the Skills Matching listing to provide more context to the job seekers. Even way back in 2014, LinkedIn was working on experimentation tools to predict the future career path of its members.

AI-facilitated systems have been proved to lead to a better hiring system against biased human hirers and managers. But machine intelligence should always be used with caution. However, the good results from the latest update have given LinkedIn an edge and enough encouragement that they are on the right path.

LinkedIn has deployed this QA model across Job Seekers, Premium members, and Recruiters. Each business line provides slightly different prospects, like highlighted job results for the member who matches a certain job profile based on the Quality Match Product. For Premium members, Top Applicant product showcases the jobs for which a member will be more competitive than the other applicants. Lastly, hirers in the Recruiter group will see smart ranking applicants and receive notifications when a great matching member applies for the job.

All these are pretty interesting and innovative steps and we can hope for more job chances for more people especially during these difficult times of mid-COVID 19 pandemic and a generalized era of recession in the world.

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