The paper presents state of art and prospects of web content filtering methods and tools. Analysis of content filtering systems principals is given, defined it's future development. Approaches for remedial of current solutions are discussed.
PDF at the Institute for Systems Analysis of Russian Academy of Sciences website (in Russian): http://www.isa.ru/aidt/images/documents/2013-02/54_62.pdf
eLIBRARY: https://elibrary.ru/item.asp?id=19112895
Artificial Intelligence and Decision Making journal: www.aidt.ru/index.php?option=com_content&view=article&id=327:327&lang=en
I. V. Smirnov, I. V. Sochenkov, R .E. Suvorov, I. A. Tikhomirov. Filtering Content on the Internet: Modern Level and Prospects // Artificial Intelligence and Decision Making. 2013, No. 2, page 54-62.