AI for recruitment

Among the daily activities carried out by companies, search and selection is one of the most important and, at the same time, most complex. The process begins when a company needs to hire new personnel to expand their team, to come with company growth, to replace leaving employees, for temporary or permanent positions and so...

How to improve candidate engagement with artificial intelligence It’s important to define what engagement of candidates and employees means in the context of HR. A candidate who interfaces with a company for the first time to propose their CV and apply for an open position is similar to a user who comes across a new...

The frequency with which we hear about artificial intelligence, machine learning and deep learning demonstrates how much this technology has entered our lives. From digital assistants on our smartphones and chatbots that we query on websites, to intelligent driving systems and automation tools used in the home, financial, HR and tech sectors. Every day, even...

Computer Vision: AI’s eyes focused on recruiting Artificial Intelligence has now fully entered into our daily lives: whether it’s to protect us from spam, or to help us choose which movie to watch or song to listen to, advanced algorithms play an increasingly central role in our activities. But what is artificial intelligence really capable...

Many Human Resources companies have already adopted Artificial Intelligence (AI) into their operations. This is because they have clearly understood the advantages and potential of AI in improving their search and selection process. Artificial Intelligence can be a really useful tool for recruiters because on its own it brings a wealth of benefits but it...

Building a metric to evaluate a semantic model Inda’s semantic search requires a domain-specific semantic model: this model specializes in vocabulary, idioms and semantic meanings typical of the recruiting field. As explained in our previous article, the key to choose the more appropriate semantic model and to optimize its parameters is the evaluation method. First...

In a previous post, we described mathematical metrics to choose the best semantic model and to optimize its parameters. However, these metrics need a ground truth: they require baseline rankings (of words, sentences, or texts) that can be regarded as correct and can be compared with the output of the model. Online we can find...

Reading CVs is always on the agenda for those who occupy themselves with search and selection. But what happens when a computer reads a CV? While the recruiter can quickly and easily find the information that they consider relevant and required for a job posting, it still takes a lot of time to analyse every...

For some, artificial intelligence (AI) is already a trend. Numerous companies, from different sectors, have introduced AI technologies into their internal systems because they have grasped the huge potential for their businesses and the advantages for productivity. The world of human resources (HR) is no exception. Companies, Employment Agencies and large organisations, have already started...

Communication is no longer just a human prerogative. As new technologies develop, including artificial intelligence, content is being both produced and disseminated automatically, or by machines. This is a new dimension of communication, one of human-machine interaction, in which Natural Language Processing (NLP) has an important role to play. Let’s try to understand what it...