A World of Tags
Tags are one of our ways to increase the automation thanks to the use of semantic technology.
At Jobsket ATS we have adopted traditional techniques in the world of Artificial Intelligence and applied them to the recruiting world.
Techniques like Information Retrieval, Data Mining or Natural Language Processing allow us to extract the most relevant information from any CV and to display that informatoin in a very easy and visual way, saving you time and money.
Tags quick filtering
At Jobsket ATS you can view all the relevant tags from any of your candidates with a single click. It is incredibly easy and intuitive.
Compare this single click feature with all the time you spend downloading a CV, opening and reading it. Moreover, a click on any tag will recommend you candidates with those skills on their profiles.
Customizing tags
Within Jobsket ATS you may also create your own custom tags which allows you to use the tools in very different ways adapting it to your recruing process and way of working.
Custom tags creation offers a great flexibility with regards to managing all your data. You will be able to classify your CVs by any aspect like status, customers, areas, processes or any other variable you can imagine.
Tag-based search
To make searching even easier, when you are searching for candidates, you will be able to search by any custom tags that you could define.
In that way you will be able to find very easily people by any predefined tags like roles, places or skills or to perform any search query based on your own custom tags
Community-based improvement
Finally, our company Jobsket, owns several job sites (Jobsket.es, Jobsket.ie) that allow our candidates to recommend us new tags.
This continuous feedback allow us to improve our ontologies and therefore the semantic and tagging engine. As a customer you can also send us at any time sets of tags you would be interested in having into the system.
If you want to contact with us just use our contact form . Alternatively you can also send an email to jobsket@jobsket.com.


