Critical Selection: IMFD Innovation Supports Trabajando.com - Millennium Institute Foundational Research on Data

An important area within artificial intelligence is that of recommender systems: given an immense amount of options, how to suggest items that are actually of interest to People, in a personalized way and taking into account the history of users?

In the specific field of recruitment, the importance of this issue goes hand in hand with its complexity, and that is why a number of initiatives are being implemented to study recruitment models that use web-based platforms to connect People looking for jobs with companies looking for workers. The goal is to identify and answer vital questions: how can we verify that screening is appropriate, that it does not discriminate against People because of where they live, or their gender, or for any reason other than their career path?

In this context is the great challenge that the Innovation and Technology Transferarea of the Millennium Institute Fundamentos de los Datosis taking on in its alliance with Trabajando.com, one of the main online platforms for job search in the country.

"We are looking to push the barrier of what was previously possible in terms of predictive recruitment and selection models, specifically candidate recommendation models and job offers, with a broad scope in terms of industries and job offers," explains Rodrigo Gorostiza, Marketing and Customer Experience Manager at Trabajando.com. The project aims to have an artificial intelligence model for the recommendation of People candidates for jobs and job offers.

Juan José Alegría, from IMFD Innovation, points out that "we are working in stages: first, for this type of project, it is essential to know and categorize the data we have, especially when we work with natural language, as in this case". The work of the IMFD Innovation team in the project includes the search, testing and application of various data science tools that allow recommending the best candidates for a job position, thus facilitating the search of recruiters and People from the human resources areas of the companies."These data are entered in natural language, and are large amounts of information that are difficult to address, because they are not homogeneous. What we do at Innovation is to find or create the best tools that adapt to the specific needs of each project," he explains.

"To achieve our objectives, it is essential that we are able to go beyond the obvious, that we are able to enrich the vast data we have with variables built from the identification of insights that emerge from the exploration and analysis of the data in conjunction with the understanding of the business. We want to generate a recommendation model that we are proud of as a collaborative team IMFD and Trabajando.com, a tool that we will make available to millions of People, to make the challenging process of looking for a job easier and more efficient", highlights Rodrigo Gorostiza.

Innovation IMFD is the Innovation and Technology Transfer Directorate of the Millennium Institute of Technology. Millennium Institute Foundational Research on Data. "Our goal is to apply the most effective techniques, based on cutting-edge science and technology, to extract value from data empowering the development of Chile and the region, providing data solutions for industry, the public sector and society," says Jazmine Maldonado, Director of Innovation and Technology Transfer IMFD.

[:en]An important area of artificial intelligence is that of recommender systems: given an immense amount of options, how can we suggest items that are actually of interest to People, in a personalized way and taking into account the history of users?

"We are looking to push the barrier of what has been possible so far in terms of predictive models for recruitment and selection, specifically for candidate and job offer recommendation models, with a broad scope in terms of industries and job offers," explains Rodrigo Gorostiza, Marketing and Customer Experience Manager at Trabajando.com. The project aims to have an artificial intelligence model for the recommendation of People candidates for jobs and job offers.