A Search Relevancy Tuning Method Using Expert Results Content Evaluation
  The article presents an online relevancy tuning method using explicit user feedback. The author developed and tested a method of words' weights modification based on search result evaluation by user. User decides whether the result is useful or not after inspecting the full result content. The experiment proved that the constantly accumulated words weights base leads to better search quality in a specified data domain. The author also suggested future improvements of the method. 
Boris Mark Tylevich (Moscow Institute of Physics and Technology,   Moscow, Russia)