Job descriptions contain a lot of valuable information for recruiters, labour market analysts and economists. To group these jobs together and be able to aggregate the insights, I realized it was essential to classify the jobs to a granular occupational taxonomy.
Therefore, I took advantage of the taxonomy concept tree and I used Artificial Intelligence and Machine Learning to apply it to the entire cycle of digital job recruitment, from research to campaigning, passing by the talents’ attraction phase. That’s how Smart Intuition Technology™was born.
Overcoming the Full Text Search’s limits
When I realized that taxonomy could be used by transforming it into technology to facilitate the match between labour supply and demand, my train of thought started from the awareness of the limits of Full Text Search (FTS) as a tool for the candidates use, and consequently for recruiters, in the digital recruiting experience.
This is because the FTS, with its underlying keywords matching methodology, works on the basis of an almost perfect match between words typed by the user and those in the results. Although it is not an Exact Match mechanism, where correspondence must be absolutely precise, the search performance guaranteed by FTS therefore produces imperfect and above all, incomplete results.
Here’s a practical example of this limitation:
If a user performs a search based on the keywords “Junior administrative financial assistant”, an FTS based search engine can process and show only results that match all the keywords typed by the user. Thus, a user won’t be able to connect with a series of potential job offers that would be consistent with his/her search, be it by content, type or location, such as “Administrative Assistant”, “Financial Administration”, “Junior Financial Assistant” and so on.
The potential of Smart Intuition Technology™
The organisation of the inventory on a taxonomic basis guarantees the ability to overcome the main limitation of FTS, ensuring that the search engine will recognise not only the keywords but all the terms related to the same topic, thus simplifying and solving queries.
But there is more.
Jobrapido’s mission is to revolutionize the way people search and find work and our Smart Intuition Technology™can solve also the issues related to the typical jobseekers’ behaviour.
In fact, when users perform a search, they tend to use the keywords that better describe their current or latest job title. They don’t take into consideration the whole range of positions their skills and studies would allow them to cover, thereby limiting their results.
When a jobseeker is searching for a job on Jobrapido, where taxonomy has been implemented, the results are more inclusive of all opportunities closely related to the job seeker’s search. The taxonomy matching uses all the matching skills to suggest job opportunities that the job seeker may not have considered.
On the other hand, for companies looking for the best talents, it means there is an opportunity to target candidates with skills similar to what they are looking for. Thanks to Smart Intuition Technology™they can enlarge the number of potential candidates with the right skillsets who can apply for the job opening, a very important aspect especially when the job opening is hard to fill.
What can we do next?
The power of taxonomy and AI could be also used to profile the jobseekers’ community and to track at a granular level the users’ behaviour.
This will allow us to create around the jobseeker a “confidence profile” which will permit us to further optimize the match between labour supply and demand, providing our community only the relevant, useful and targeted vacancies.