document: 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 -LRB- google.com -RRB- or an enrichment of a query with terms that are asked frequently in relation with the query 's 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 user 's 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
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