Key words and inquiries

Search engines are based on the words requested by users to determine the results, which will be processed in accordance with their algorithms, ordered and issued to the user. However, search engines do not just recognize and retrieve exact matches of the requested words, they use knowledge of semantics (the science of language) for the construction of intellectual relevance. An example would be the case when the request loan providers search engine displays results that do not contain this phrase, and word lenders.

Search engines collect data on frequency of use of words and their joint distribution in the network. If the relevant words and phrases are often found together on pages or sites, search engines can construct intelligent theories about their relationship.

This extensive knowledge of the language and its usage gives the search engines to determine which pages are thematically linked, what is the subject page or site, as a reference structure of the network is divided into thematic community and much more.

The development of artificial intelligence search engines in the field of language means that the results of queries users are becoming more intelligent and evolving. Huge investments in the area of processes of natural languages will help achieve greater understanding of the meaning and intent in the user's query. In the long term as a result of this work, users can expect the increased relevance of the SERPs, as well as more accurate assumptions about the expectations of the search engines users.