3. The repetitive fusion search system according to claim 1 , wherein: the searcher information database is configured to store a history of input information and target selections received from the searcher; and the search engine is configured to estimate, with respect to the input information input by the searcher, search tendency information for the at least one instinct based search parameter and a search parameter significance level based on the history of input information, wherein the search engine is also configured to search the search target database by adjusting the input information using the estimation result or by adjusting a matching degree calculation between the input information and the one or more relevant targets.
3. The repetitive fusion search system according to claim 1 , wherein: the searcher information database is configured to store a history of input information and target selections received from the searcher; and the search engine is configured to estimate, with respect to the input information input by the searcher, search tendency information for the at least one instinct based search parameter and a search parameter significance level based on the history of input information, wherein the search engine is also configured to search the search target database by adjusting the input information using the estimation result or by adjusting a matching degree calculation between the input information and the one or more relevant targets. 15. The repetitive fusion search system according to claim 3 , wherein the search engine is configured to learn how the searcher configures search settings during one or more search sessions and to identify a search condition setting with a highest usage frequency, and wherein the search engine is configured to search the search target database based on the search condition setting with the highest usage frequency.