Resume Database Now Enhanced with Semantic Search Technology

January 10, 2017

A new enhancement for Resume Database makes finding relevant talent easier and more efficient than ever before. With the inclusion of Textkernel’s semantic search technology, Resume Database provides users with more search results in less time – without the need to be an expert on the position, all relevant keywords or Boolean search strings. It also bridges the gap between the language job seekers use on their resume and the keywords recruiters use when searching for talent. 

What is semantic search?

At the core of semantic search is semantics, the study of the meaning of language. Therefore, semantic search seeks to understand the contextual meaning behind each query and aims to deliver results that you want vs what you said you wanted.

How does it work in the Resume Database?

After typing in a few keywords, such as Customer Service and Retail, the semantic search applies related terms or synonyms to each keyword in order to expand the query and deliver all relevant results. This maximum inclusion of the candidate results ensures you won’t miss potential talent simply because you didn’t use all of the related keywords. We take it a step further by exposing the related terms applied to each keyword and letting the user remove or add in any additional terms. 

Key benefits of semantic search for Resume Database users:

  1. Identify more candidates faster with less effort: Since semantic search applies related terms or synonyms to each keyword, a search for a single term can become a search for 10 terms instantly. As an example, Customer Service is enriched with related terms such as Customer Care, CSR and Customer Support, to name a few.
  2. Transparent, personalized search: Unlike other semantic search technologies, Resume Database users are able to see what related terms were applied to their keyword in order to understand why they are getting specific results. Users will also have the option to remove any related terms applied by the semantic technology or add their own. The technology will save these personalized preferences and remember them for future searches.
  3. Reduce reliance on Boolean strings and job title expertise: Instead of typing in long Boolean strings or doing research on an unknown job title, semantic will do the work for you. Think of the semantic search as a smart, automatic OR statement without the pre-work.

Combining CareerBuilder’s 20-plus years of information on search behavior from both job seekers and employers and Textkernel’s leading semantic search technology gives Resume Database customers a competitive edge when it comes to sourcing for talent. This combination enables employers and recruiters to streamline their search process – so they can find relevant talent quickly and devote more time to the rest of the sourcing and hiring workflow. 

Contact your CareerBuilder representative for more information.

Share your feedback about CareerBuilder Search with our product owners! 

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