MUSCAT, SEPT 1 - Bayt.com, the Middle East’s largest job site, has launched a series of technological features and enhancements set to revolutionise job hunting and the recruitment process for the Middle East and North Africa (MENA) region. The new Artificial Intelligence powered features are designed to match talent with opportunity in a much more powerful and efficient manner.
The first of these new features is the AI-powered, three-tier system for job recommendations that Bayt.com has completed launching. Because more than 33,300,000 job seekers are registered on Bayt.com and hundreds of thousands visit the site to browse over 15,000 jobs on a daily basis, matching job seekers with the right career opportunities is crucial. Successful online job hunting depends on relevancy; how closely a job seeker’s qualifications match the job requirements. This is why profile-based job recommendations are used, to collect and suggest relevant jobs based on the job seekers’ CV.
But AI technology goes beyond matching keywords and can actually track, plot, and project behaviour. With behavioural job recommendations, Bayt.com’s technology uses the job seeker’s behaviour on the site to recommend the most relevant opportunities.
A third level of recommended jobs was also rolled out by Bayt.com this month: collaborative job recommendations. This auto feature studies job seeker groups of overlapping career interests and qualifications and makes suggestions accordingly. This way a job seeker can also be aware of other trending opportunities that are being searched, viewed, and applied for by their fellow professionals.
On the employer side, Bayt.com has released many AI-powered tools that are designed to make it far easier and faster for companies to find their next hire. Notably, meaning ontology was introduced to Bayt.com’s flagship CV search technology. This new logic can now make meaning-based search suggestions that are far more accurate than text-based suggestions.
Another highly useful tool that employers will depend on is the auto-stamped feature. When a company is looking for an employee using a university name, company name, job title, or such, they are likely to face the issue of name variations: there are usually different spellings, acronyms, and pseudo-names that may limit their search results. Now with the latest version of Bayt.com CV Search, the system will automatically gather all CVs that are related to the employer’s search query, including all the variations that should fall under that name being searched for.
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