10. The method as recited in claim 1 , further comprising: obtaining click information of search results in the search log; extracting one or more search results including the target query according to the click information; and determining a click similarity degree between the single query and the target query according to a number of total clicks of search results including the target query, and a number of clicks of search results corresponding to the single query and including the target query, wherein the determining the correlation degree between the single query and the target query is based on the vote similarity degree and the click similarity degree.
10. The method as recited in claim 1 , further comprising: obtaining click information of search results in the search log; extracting one or more search results including the target query according to the click information; and determining a click similarity degree between the single query and the target query according to a number of total clicks of search results including the target query, and a number of clicks of search results corresponding to the single query and including the target query, wherein the determining the correlation degree between the single query and the target query is based on the vote similarity degree and the click similarity degree. 11. The method as recited in claim 10 , wherein the determining the correlation degree between the single query and the target query based on the vote similarity degree and the click similarity degree comprises selecting a largest value between the vote similarity degree and the click similarity degree as the correlation degree between the single query and the target query.