6. A method of determining the relative effectiveness of search engines in performing searches in a search area comprising: generating a controlled relevant document by the arrangement of relevant search terms of a selected document in the search area in accordance with a relevancy algorithm; wherein the relevancy algorithm relates to positions of relevant search terms in documents and the generation of the controlled relevant documents is done by placing search terms into various positions in the document in accordance with the relevancy algorithm and wherein at least 3 different controlled relevant documents are produced for a given relevancy algorithm with search terms placed in different positions in different documents with each document compared with the document relevant to the search area with absence of search terms in that document to generate the relevancy vector chart; interrogating a database containing the search area with the search engines; comparing by vector analysis, references obtained from the search engines with the controlled relevant document to provide a relevancy rating for the search engine to determine the relative effectiveness of the search engines; generating vectors V r for the control relevant document and V SEj for search results of each search engine SE j (J=1, 2, . . . n); computing the distance d(V SEj V r ) between V SEj and V r for each search engine; computing a score Sj=100/1+d(V SEj , V r ) for each search engine; assigning the score Sj to each search engine SE j ; and comparing the search engines SE 1 , SE2, . . . SE n based on their scores Si, S 2 , . . . Sn.
6. A method of determining the relative effectiveness of search engines in performing searches in a search area comprising: generating a controlled relevant document by the arrangement of relevant search terms of a selected document in the search area in accordance with a relevancy algorithm; wherein the relevancy algorithm relates to positions of relevant search terms in documents and the generation of the controlled relevant documents is done by placing search terms into various positions in the document in accordance with the relevancy algorithm and wherein at least 3 different controlled relevant documents are produced for a given relevancy algorithm with search terms placed in different positions in different documents with each document compared with the document relevant to the search area with absence of search terms in that document to generate the relevancy vector chart; interrogating a database containing the search area with the search engines; comparing by vector analysis, references obtained from the search engines with the controlled relevant document to provide a relevancy rating for the search engine to determine the relative effectiveness of the search engines; generating vectors V r for the control relevant document and V SEj for search results of each search engine SE j (J=1, 2, . . . n); computing the distance d(V SEj V r ) between V SEj and V r for each search engine; computing a score Sj=100/1+d(V SEj , V r ) for each search engine; assigning the score Sj to each search engine SE j ; and comparing the search engines SE 1 , SE2, . . . SE n based on their scores Si, S 2 , . . . Sn. 8. The method of claim 6 , wherein the relevancy algorithm relates to positions of the relevant terms in documents and the controlled relevant document is created by placing search terms into various positions in the selected document in accordance with the relevant algorithm.