4. The method as recited in claim 1 , wherein obtaining the related keywords, computing the first feature values and computing the second feature values are concurrently executed using a multi-threading method.
1. A method comprising: obtaining search keywords used by users within a predetermined time period; counting the search keywords to obtain a primary keyword, related keywords, co-search frequencies of the primary keyword and the related keywords being searched together, and a search frequency of the primary keyword being searched alone; computing correlation levels based at least in part on the co-search frequencies of the primary keyword and the related keywords being searched together; computing a first feature value based at least in part on the search frequency of the primary keyword being searched alone; and computing second feature values based at least in part on the first feature value, the correlation levels and the co-search frequencies of the primary keyword and the related keywords, a second feature value serving as a parameter for determining whether a corresponding related keyword of the related keywords is to be displayed constantly or in a rotating manner.