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Freshersworld’s Machine Learning Algorithm To Speed Up Hiring

India’s premier entry-level hiring site, Freshersworld, has created its proprietary which will ensure that hiring entry level graduates becomes an instant process, alongside the job posting. The Relevant Profile Extractor (RPE) will be combining deep learning for interpreting data points such as candidate application history, activity profiling, interest shown for similar jobs, alongside 16 other data points and also compute the ’show’ vis-a-vis ‘no-show’ ratio. This is sure to give intelligence to recruiters for hiring, especially when handling bulk number of resumes for hiring. The RPE ought to bring in 100 most relevant profiles, which will help speed up the hiring process to almost an instant process.

Speaking about the launch of this new feature, “RPE Technology is an innovation which will change the way recruiters look at job portals. Earlier, recruiters had to wait for weeks to get candidates to apply for jobs but with RPE, they will get relevant profiles instantly. It is so much more than just matching candidates to job openings available. Our data science team has been working on this algorithm for more than 1 year and have been able to crack the problem statement with conclusive and proven results,” said Joby Joseph, the CEO of Fresherswold.

The RPE powered Hot Job posting was stealth launched 3 months back and some of the prominent clients of Freshersworld were introduced to this with a preview. The results achieved through the launch have been encouraging and learning’s achieved through it has been used to better the product. According to our clients, accessing huge data of profiles doesn’t mean anything. Getting interested candidates to turn up makes all the difference between a good database and a junk one. With RPE, the probability of candidates turning up for interviews increases tenfold.

Speaking about the role of Machine Learning into this new innovation, “Machine learning is a continuous process and the system is only going to get better in the coming months. Our data science team will continuously monitor the results and a certain level of human intervention will be required to make the data more accurate. It is like performance tuning,” Joby Joseph concluded.” This should be a welcome development from the recruiters and new graduates’ point-of-view, which will streamline the process, thus making it much more economically feasible in the longer run.

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