The key idea behind the Sagoon technology, “Random Vector Model” is to promote semantic search over the regular lexical search to provide more meaningful information to users. This is done by analyzing the content of Web data and news documents to find out hidden similarities among them. The implementation of “semantic analysis” requires a series of algorithms and mathematical calculations.
The Sagoon’s results cover a number of resources for variety in the results. The results are obtained from a combination of Sagoon’s index, Yahoo Boss, and some of the larger search companies in the online information industry.
Source: CIOL
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