BUILDING SEARCH SYSTEMS BASED ON METHODS OF MASTER TRAINING

The theoretical foundations of search systems on the basis of machine learning methods are considered; it is clarified with which programming languages and their libraries can be realized; the aspects of the use of methods of machine learning over existing ones are determined; the direction used to justify the work of search engines with one query and to conduct their comparative analysis. At the organizational and activity stage, the stages of the search engines' operation and their capabilities for one query are determined. The prospect-search phase involves using a larger library of libraries to implement the best query.