Recruitment is one of the most challenging and time-consuming tasks for any organization. Finding the right talent for the right role requires a lot of effort, resources, and expertise. However, with the advent of artificial intelligence (AI), the recruitment process is undergoing a major makeover. AI is enabling recruiters to leverage natural language search (NLS) capabilities, which allow them to use everyday language to describe their hiring goals and find the best candidates.
What is natural language search?
Natural language search (NLS) is a type of search technology that allows users to speak or type their queries into a device using natural language, instead of keywords or filters. NLS can understand the meaning and intent of the user’s query, and provide relevant and accurate results. NLS can also handle complex and ambiguous queries, and provide suggestions and feedback to the user.
NLS is powered by natural language processing (NLP), which is a branch of AI that deals with the interaction between computers and human language. NLP enables computers to analyze, understand, and generate natural language. NLP uses various techniques, such as tokenization, stemming, lemmatization, parsing, sentiment analysis, named entity recognition, and more, to process natural language data.
How is AI recruiting tool Betterleap using NLS?
Betterleap is an AI recruiting platform that is launching new NLS capabilities for recruiters. Betterleap NLS enables recruiters to describe their hiring goals in their own words, with statements like “I need a software engineer who has at least eight years of experience, knows Python, and works within 40 minutes of the Google HQ campus.”
Betterleap NLS will then create a search query that matches the recruiter’s criteria, and provide a list of candidates who fit the profile. Betterleap NLS will also allow recruiters to either expand or narrow search results via filters, so that they can identify new candidates that might otherwise be overlooked using traditional searches.
Betterleap NLS uses AI to analyze various signals, such as skills, experience, education, location, and more, to rank and score candidates. Betterleap NLS also uses AI to customize the search results for each business, so that no two companies will have the same list of candidates. Betterleap NLS automatically expands searches to include candidates who might have different backgrounds, but similar potential, to the desired role.
What are the benefits of using NLS for recruitment?
Using NLS for recruitment can have several benefits, such as:
- Saving time and effort: NLS can reduce the time and effort required to create and execute search queries, and to review and evaluate candidates. NLS can also eliminate the need to use multiple tools or platforms to find candidates.
- Improving accuracy and relevance: NLS can provide more accurate and relevant results, as it can understand the meaning and intent of the recruiter’s query, and match it with the candidate’s profile. NLS can also handle complex and ambiguous queries, and provide suggestions and feedback to the recruiter.
- Enhancing diversity and inclusion: NLS can help recruiters find candidates from diverse backgrounds, who might have different skills, experiences, or qualifications, but similar potential, to the desired role. NLS can also help recruiters avoid biases or stereotypes, and focus on the candidate’s merit and fit.
How to use NLS for recruitment?
To use NLS for recruitment, recruiters need to have access to an AI recruiting tool that offers NLS capabilities, such as Betterleap. Recruiters can then use the following steps to use NLS for recruitment:
- Define the hiring goal: Recruiters need to define their hiring goal in their own words, using natural language. For example, “I need a software engineer who has at least eight years of experience, knows Python, and works within 40 minutes of the Google HQ campus.”
- Execute the search query: Recruiters need to enter their hiring goal into the AI recruiting tool, and execute the search query. The AI recruiting tool will then use NLS to create a search query that matches the recruiter’s criteria, and provide a list of candidates who fit the profile.
- Review and refine the search results: Recruiters need to review the search results, and refine them using filters, if needed. The AI recruiting tool will also provide suggestions and feedback to the recruiter, to help them find the best candidates.
- Contact and hire the candidates: Recruiters need to contact the candidates they are interested in, and proceed with the hiring process.
