In this case study, eBoss semantic search was the key feature which helped to resolve the client’s issues.
Semantic search is an advanced type of search engine which harnesses artificial intelligence and Big Data to produce more relevant search results. Semantic search allows eBoss users to retain an extensive CV database without removing data, and without wasting time on slow, manual searches.
How does semantic search work?
A standard (boolean) search looks for direct matches against your search terms. This can be useful, but it often leads to false matches being returned.
Gradu8 works in the construction sector. In 2020, that industry is just as likely to need data architects as it does building architects. A boolean search of the database for “architect” will return both types of candidate.
But a semantic search engine understands that the same search term does not always share the same level of relevance. Semantic search will return only the type of “architect” which fits the current job description.