10. A recommendation search apparatus for reducing human-machine interactions during a search, comprising: a memory; a processor coupled to the memory; and program modules stored in the r memory to be executed by the processor, the program modules comprising: a logging module for recording a search log and a click log for query terms during search processes performed with a search engine, the search engine including at least a vertical search engine and a web search engine; a tendency analyzing module for determining weights of tendencies of vertical searches for the query terms based on the recorded search log and the click log; a query term recommending module for detecting the query terms in a search box and, upon detecting a query term in the search box, determining recommended query terms for the query term; a vertical search tendency recommending module for searching for the weights of tendencies of the vertical searches for each of the recommended query terms and determining a tendentious vertical search type for each of the recommended query terms based on the weights of tendencies of the vertical searches; a recommendation display module for displaying each of the recommended query terms and links of the tendentious vertical search types for the recommended query terms; and a responding module for, upon detecting a click on a link of one of the tendentious vertical search types corresponding to one of the recommended query terms, performing a search based on the one of the recommended query term by using a vertical search engine which corresponds to the one of the tendentious vertical search type, and displaying search results, wherein: the recording the search log for the query terms further includes: for each type of vertical search engine, when a search is performed with a vertical search engine of the type of vertical search engine, recording, by the vertical search engine, content of the query term being entered, the number of links being clicked among the search results, and the type of the vertical search engine, and the recording the click log for the query terms further includes: recording, by the web search engine, the content of the query term being entered, links being clicked among the search results, and the vertical search types corresponding to the links being clicked, when a search is performed with the web search engine, the determining weights of tendencies of vertical searches for the query terms based on the recorded search log and click log further includes: determining weights of the tendencies of the vertical search types for each of the query terms, a weight of tendency of a certain vertical search type being determined by: determining a first weight of h tendency of the certain vertical search type for a certain query term based on the search log, determining a second weight of the tendency of the certain vertical search type for the certain query term based on the click log, and obtaining the weight of the tendency of the certain vertical search type for the certain query term by combining the first weight of the tendency and the second weight of the tendency.
10. A recommendation search apparatus for reducing human-machine interactions during a search, comprising: a memory; a processor coupled to the memory; and program modules stored in the r memory to be executed by the processor, the program modules comprising: a logging module for recording a search log and a click log for query terms during search processes performed with a search engine, the search engine including at least a vertical search engine and a web search engine; a tendency analyzing module for determining weights of tendencies of vertical searches for the query terms based on the recorded search log and the click log; a query term recommending module for detecting the query terms in a search box and, upon detecting a query term in the search box, determining recommended query terms for the query term; a vertical search tendency recommending module for searching for the weights of tendencies of the vertical searches for each of the recommended query terms and determining a tendentious vertical search type for each of the recommended query terms based on the weights of tendencies of the vertical searches; a recommendation display module for displaying each of the recommended query terms and links of the tendentious vertical search types for the recommended query terms; and a responding module for, upon detecting a click on a link of one of the tendentious vertical search types corresponding to one of the recommended query terms, performing a search based on the one of the recommended query term by using a vertical search engine which corresponds to the one of the tendentious vertical search type, and displaying search results, wherein: the recording the search log for the query terms further includes: for each type of vertical search engine, when a search is performed with a vertical search engine of the type of vertical search engine, recording, by the vertical search engine, content of the query term being entered, the number of links being clicked among the search results, and the type of the vertical search engine, and the recording the click log for the query terms further includes: recording, by the web search engine, the content of the query term being entered, links being clicked among the search results, and the vertical search types corresponding to the links being clicked, when a search is performed with the web search engine, the determining weights of tendencies of vertical searches for the query terms based on the recorded search log and click log further includes: determining weights of the tendencies of the vertical search types for each of the query terms, a weight of tendency of a certain vertical search type being determined by: determining a first weight of h tendency of the certain vertical search type for a certain query term based on the search log, determining a second weight of the tendency of the certain vertical search type for the certain query term based on the click log, and obtaining the weight of the tendency of the certain vertical search type for the certain query term by combining the first weight of the tendency and the second weight of the tendency. 17. The apparatus of claim 10 , wherein determining the tendentious vertical search type for each of the recommended query terms based on the weights of tendencies comprises: determining; the vertical search type with a highest weight of tendency for the recommended query term as the tendentious vertical search type for the recommended query term.