Inductive Building of Search Results Ranking Models to Enhance the Relevance of Text Information Retrieval

摘要

The article describes a method for constructing a model for ranking the search engine delivery on the Internet using inductive GMDH algorithms. The method makes it possible to enhance substantially the relevance of scientific and technical information search on the Internet provided to sift spam and the commercial information. The process of discovering the web resources ranking model is described for known search engines and comparing its effectiveness with the constructed model.