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.
1. A method comprising: obtaining a target query; and determining a normalized query according to the obtained target query, the determining including: obtaining session information in a search log; determining a vote similarity degree between a single query and the target query based on the session information, including: obtaining all queries appearing in a single session, calculating a number of votes for each query, the calculating including counting the single query appearing before the target query in the single session as a vote from the single query to the target query, and determining the vote similarity degree between the single query and the target query according to the calculated number of votes; determining a correlation degree between the single query and the target query based in part on the vote similarity degree; and determining the normalized query based in part on the correlation degree between the single query and the target query.