Our search engine is powered by DataScava’s language-independent (non-Semantic) unstructured datamining solutions DataParser, DataIndexer, DataScorer and DataMatcher.
It delivers highly precise, accurate and visible results and is tailor-made for specialized, jargon-intensive jobs in I.T., financial services and healthcare, and customizable to any industry.
Beyond Semantic, Boolean and Predictive
Semantic and Boolean search have been used by the majority of recruitment technology available, up until now.
Predictive Analytics tries to foretell future behavior.
Our search technology provides a modern, highly precise alternative.
Semantic Search in Wikipedia
The semantic search page in Wikipedia states:
“Guha et al. distinguish two major forms of search: navigational and research. In navigational search, the user is using the search engine as a navigation tool to navigate to a particular intended document. Semantic search is not applicable to navigational searches. In research search, the user provides the search engine with a phrase which is intended to denote an object about which the user is trying to gather/research information. There is no particular document which the user knows about and is trying to get to. Rather, the user is trying to locate a number of documents which together will provide the desired information. Semantic search lends itself well with this approach that is closely related with exploratory search.”
Read more about Semantic Search here (Wikipedia)
TalentBrowser Excels at Navigational Search
When a person “navigates” to a resume for recruitment and other people initiatives, they are trying to find the best overall “match.” They are not interested in “researching” all resumes that have a mention of any one of their topics of interest.
We don’t use off-the-shelf semantic toolkits, fuzzy logic or machine learning. Instead, we provide a unique form of segmented search, with minimum score thresholds required to be met in each topic, the combination of which results in highly accurate matches rising to the top.
People who may match a one-dimensional Boolean search, because they make one mention of a particular skill, but lack the depth of experience in key skills that’s required to do the job, are filtered out. In addition, the high percentage of false matches associated with Semantic Search, a frequent complaint of recruiters who use it, disappears.
Encapsulate Business Intelligence
Our users are excited at how their specific requirements and nuances of ongoing needs are encapsulated in their own search engine that’s available at the earliest stage of the decision-making process.