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Role of Recommendation Engine in Job Portals

kritika Published on : 11 November 2021
Recommendation Engine in Job Portals


Did you know that, on average, nearly ten jobs are added to job portals every second? In fact, according to Hueman’s report, there are about 100 million resumes just on Indeed, a leading job portal website. Can you imagine how much data there is to process for everyone, including the person searching for the job and the companies looking to hire people? In this scenario, two things generally happen – companies don’t get the desired candidates for their jobs and have to settle for someone mediocre. The job seekers sometimes don’t find the jobs they want, and they either switch to some other job portal or rely on networking. Both these scenarios lead to one thing: Bad marketing about the particular job portal. In times like this, what should one be doing? Adapting to the ever-so changing technology that helps the industries to stay competitive and achieve greater heights. One such tool/software that has been emerging from the past two decades is Recommendation Engine. 


What is a Recommendation Engine?

Recommendation Engine is a tool that analyzes the behavior of people and, based on it, recommends products. It collects the data for analysis from the website it is integrated with; then, it clusters these data according to the filtering method it is trained on. There are many filtering algorithms that are being used in a recommendation engine, such as content-based filtering, collaborative filtering, and hybrid filtering; when to use which filter depends on the industry and requirement of the organization. You can learn more about recommendation engines by reading the blog What is an AI-based recommendation engine and evolution of recommendation engine


What is a Job Recommendation Engine?

A job recommendation engine collects all the information of the users registered on the job portal, asks some questions to the user, and then matches them with relevant jobs. Not only this, they analyze the job requirements of companies, and then scan through all the resumes they have, and then recommend all the relevant resumes to HR. 




The benefit of Using Job Recommendation Engine


1. Increase in Conversion Rate

When job seekers will get the job they desire and the ones that match their qualifications, the chances of them getting the job will be higher. The same goes for recruiters who used to search endlessly through the millions of resumes on the job portals. With the Job recommendation engine, all they have to do is go through the recommendations list and get the perfect candidate for the job. Moreover, employing Rezi resume templates can significantly boost the conversion rate for both job seekers and recruiters. This way, job seekers can craft visually appealing resumes that effectively showcase their skills and experience, increasing their likelihood of securing desired positions in today’s competitive job market. 


2. Better Customer Satisfaction

In any business, customer satisfaction is one of the most important things because it is only then the business will run smoothly and make profits. In Job Portals, there are mainly two customers – job seekers and HR(or any other stakeholder from the organization). When the conversation rates increase, naturally, the customer satisfaction rate will also increase. Customer satisfaction brings another factor with it to the table: Marketing. It is a well-known fact that people trust the words of their friends and family more than that of a stranger. So, when one customer says positive things about one job portal to 10 other people, chances are at least 1 will turn up. So, customer satisfaction also helps in bringing more traffic.


3. Insights and Reports 

Now, this point is applicable to only a few recommendation engines available in the market, such as Alie – an AI-based recommendation engine. So basically, recommendation engines like Alie provide insights and reports of your website and what recommendations were made to which user, and it even gives the report of how many users clicked on the recommendations. All of this data can help you in planning your future agendas for the company. 



How can a Job Portal succeed if it has an abundance of data but no proper planning of how to get the correct information to the relevant people? The answer is through the Recommendation Engine. We all are aware of how recommendation engines changed the way people now shop and watch movies; hint: Amazon and Netflix. So, if you own a job portal, you shouldn’t be waiting until it is too late. Integrate a Recommendation Engine as soon as you can to get your website on top of all. Explore Alie – an AI-based recommendation engine, and try its 14-day free trial


Written by: kritika

Kritika Verma is an Associate Content Writer and works with Muvi Marketing Team. She is an inbound marketing professional and ensures high-quality traffic on the Muvi website through her blogs, articles, and more. She has an engineering background but always had a knack for writing. In her free time, she is either on Quora or on (Mostly losing).

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