April, 2023.- An important area within artificial intelligence is that of recommender systems: given an immense number of options, how to suggest items that are actually of interest to people, in a personalized way and taking into account the history of the users?

In the specific field of job selection, the importance of this topic goes hand in hand with its complexity and that is why a series of initiatives are being implemented to study the selection models that use web platforms to connect job seekers. with companies looking for workers. The goal is to identify and answer vital questions: how can we verify that the selection is appropriate? What does not discriminate against people because of where they live, or because of their gender, or for any reason other than their career?

In this context is the great challenge that the Innovation and Technology Transfer area of the Millennium Institute Fundamentals of Data is assuming in its alliance with Trabajando.com, one of the main online job search platforms in the country.

“We are looking to push the barrier of what was possible up to now in regards to predictive recruitment and selection models, specifically candidate recommendation models and job offers, with a broad scope in terms of industries and job offers,” he explains. Rodrigo Gorostiza, Marketing and Customer Experience Manager at Trabajando.com. The “Innova Chile” project aims to have an artificial intelligence model for the recommendation of job candidates 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 is the case here.” The work of the IMFD Innovation team in the project includes the search, testing and application of various data science tools, which allow recommending the best candidates for a job position, thus facilitating the search for recruiters and people of the right company human resources areas. “These data are entered in natural language, and they are large amounts of information that are difficult to address, because they are not homogeneous. What we do at Innovation is to search for or create the best tools, which 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 can enrich the vast data we have with variables built from the identification of insights that arise 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 of IMFD and Trabajando.com, a tool that we will make available to millions of people, to make the challenging job search process easier and more efficient for them”, highlights Rodrigo Gorostiza.

Innovation IMFD is the Department of Innovation and Technology Transfer of the Instituto Milenio Fundamentos de las Datos. “Our goal is to apply the most effective techniques, based on cutting-edge science and technology, to extract value from data, promoting 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.