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How AI Job Matching helps Candidate: How the Smart Match Works

Updated: Sep 2, 2021

Did you know why do good employees quit? Poor job match.

Aren't you envious of people who work in a job that has to do with their college major? Engineers who studied engineering, lawyers who studied law, etc. When entering a career, it is important to be placed in a role that matches your natural strengths or fits your personal and professional needs.

The nagging feeling that you’re not suited for what you just spent four or more years studying doesn’t often go away—it just continues to grow with time. You can’t ignore it. This exact dilemma is especially faced by graduates when they graduated with a certain degree and background, yet no desire to enter the field. They need to navigate the job search based on what they knew about themselves and what they wanted to do with their life.

Artificial Intelligence (AI) technology and algorithms bring candidate matching to a new level. The learning machine intelligently filters through large amounts of information, makes smarter, and more informed decisions to find the best match. Here's how AI job matching works to help candidates in finding their best-fit jobs, but before that, what does job matching really mean?

Land Up With Relevant Jobs

Many job board software products claim to have "job matching" included in their platforms, but they rely on keyword-based searching to run the platforms rather than the performance-based matching of positions to applicants. True job matching doesn't rely on keyword searching, because it is about matching the most qualified candidates to the best jobs automatically and in real-time. With true job matching, for instance, as a medical assistant, you would be automatically matched with medical assistant job listings for which you meet qualifications based on your resume, skill set, and preferences. In other words, you'll not be wasting your time sifting through non-relevant job listings.

Relevant experience doesn’t mean you need to have held the exact same job title or worked in the same exact industry. As long as you can show that you developed skills that transfer to the new job, where or how you gained them is less important. Relevant experience can come from almost anywhere. It is not only from your previous job but can also be the things you learn from activities that you were involved in in the past such as in school, internships, academy projects, and volunteering works.

How AI Smart Job Matching Works

One of the main challenges of employment services is to facilitate the adequate matching between the required skills in open vacancies and those that job seekers have. AI can be used as a tool to enhance the matching approach, to the extent of considering the existing relations in various occupations, which can include more information in the analysis of the profiles of job candidates.

Use Profile to Smart-Match Relevant Job

Sourcing Algorithms

Based on the job candidates’ profiles, AI will be used to match you with relevant jobs. The software values are feed with different parameters such as years of work experience, known programming languages, education, and more. The algorithm will go through profiles on the job portals or other public databases and find CVs that best fit the information provided by recruiters. Once this is done, the selected resumes are automatically sent to the recruiters so that they can do a round of manual checks and then go on to interviews.

Filtering algorithms

Once a set number of resumes have been collected, the next step is filtering. This task too takes a lot of time when done by individuals and is much faster when using intelligent machines. In the filtering stage, the analysis goes a step above the keyword matching technique. The algorithm analyzes the personality of each individual through their resumes and provides a deeper insight into each applicant. In a way, this step is used to find which candidates are best suited to the working environment of a company.

Reverse Matching Algorithms

While the two previous algorithms that we mentioned are used by recruitment agencies, this one is mostly used by candidates who are looking for jobs. Platforms offering such services, like Recruit Hero, serve as a search engine for people who are looking for jobs. Applicants post their resume which is parsed by algorithms. The data that is extracted through parsing is then used to find jobs that match best with the candidate’s profiles. Then the candidate can go on to apply to the jobs that matched him. Matching algorithms can double up as sourcing algorithms as well. On one hand, they can provide job recommendations to applicants and on the other hand, they can send matched applicants to the companies they match with.

The extraction of relevant information for job selection is not a trivial task. Enabling automated keyword extraction from jobseeker resume and job advertisement with the help of AI may facilitate jobseeker to find the relevant job in a minimal time and also help companies to get better candidates to be considered for the job. Although the work presented is only preliminary work, it shows potential to be embedded in the current job search websites such as Recruit Hero. Interestingly, Recruit Hero does more than that. Want to know more? Stay tuned for updates by Recruit Hero and don't forget to follow our Facebook, LinkedIn, and Twitter to discover your relevant jobs.



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