Relevance of Web documents: Ghosts consensus method

The dominant method currently used to improve the quality of Internet search systems is often called “digital democracy.” Such an approach implies the utilization of the majority opinion of Internet users to determine the most relevant documents: for example, citation index usage for sorting of search results (google.com) or an enrichment of a query with terms that are asked frequently in relation with the queryʹs theme. “Digital democracy” is an effective instrument in many cases, but it has an unavoidable shortcoming, which is a matter of principle: the average intellectual and cultural level of Internet users is very low—everyone knows what kind of information is dominant in Internet query statistics. Therefore, when one searches the Internet by means of “digital democracy” systems, one gets answers that reflect an underlying assumption that the userʹs mind potential is very low, and that his cultural interests are not demanding. Thus, it is more correct to use the term “digital ochlocracy” to refer to Internet search systems with “digital democracy.” Based on the well-known mathematical mechanism of linear programming, we propose a method to solve the indicated problem.